SlideShare uma empresa Scribd logo
1 de 55
Baixar para ler offline
Nonlinear transport phenomena:
        models, method of solving and unusual
                      features

                            Vsevolod Vladimirov

            AGH University of Science and technology, Faculty of Applied
                                   Mathematics

                               ´
                           Krakow, August 10, 2010




KPI, 2010               Nonlinear transport phenomena, Burgers Eqn.        1 / 29
Burgers equation
    Consider the second law of Newton for viscous incompressible
    fluid:
            ∂ ui      ∂ ui   1∂P
                 + uj    j
                           +        = ν ∆ ui ,         i = 1, ...n, n = 1, 2 or 3,
            ∂t        ∂x     ρ ∂ xi

             u(t, x) is the velocity field,
              ∂     j ∂
             ∂ t + u ∂ xj   is the time ( substantial) derivative;
             ρ is the constant density ;
             P is the pressure ;
             ν is the viscosity coefficient;
                          2
             ∆ = n ∂∂x2 is the Laplace operator.
                     i=1
                           i


    For P = const, n = 1, we get the Burgers equation

                                  ut + u ux = ν ux x .                           (1)


KPI, 2010                 Nonlinear transport phenomena, Burgers Eqn.                  2 / 29
Burgers equation
    Consider the second law of Newton for viscous incompressible
    fluid:
            ∂ ui      ∂ ui   1∂P
                 + uj    j
                           +        = ν ∆ ui ,         i = 1, ...n, n = 1, 2 or 3,
            ∂t        ∂x     ρ ∂ xi

             u(t, x) is the velocity field,
              ∂     j ∂
             ∂ t + u ∂ xj   is the time ( substantial) derivative;
             ρ is the constant density ;
             P is the pressure ;
             ν is the viscosity coefficient;
                          2
             ∆ = n ∂∂x2 is the Laplace operator.
                     i=1
                           i


    For P = const, n = 1, we get the Burgers equation

                                  ut + u ux = ν ux x .                           (1)


KPI, 2010                 Nonlinear transport phenomena, Burgers Eqn.                  2 / 29
Burgers equation
    Consider the second law of Newton for viscous incompressible
    fluid:
            ∂ ui      ∂ ui   1∂P
                 + uj    j
                           +        = ν ∆ ui ,         i = 1, ...n, n = 1, 2 or 3,
            ∂t        ∂x     ρ ∂ xi

             u(t, x) is the velocity field,
              ∂     j ∂
             ∂ t + u ∂ xj   is the time ( substantial) derivative;
             ρ is the constant density ;
             P is the pressure ;
             ν is the viscosity coefficient;
                          2
             ∆ = n ∂∂x2 is the Laplace operator.
                     i=1
                           i


    For P = const, n = 1, we get the Burgers equation

                                  ut + u ux = ν ux x .                           (1)


KPI, 2010                 Nonlinear transport phenomena, Burgers Eqn.                  2 / 29
Hyperbolic generalization to Burgers equation

    Let us consider delayed equation

              ∂ u(t + τ, x)
                            + u(t, x) ux (t, x) = ν ux x (t, x).
                   ∂t

    Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up
                               ∂t
    to O(τ 2 ) the equation called the hyperbolic generalization of
    the Burgers equation (GBE to abbreviate):

                        τ utt + ut + u ux = ν ux x .               (2)


    GBE appears when modeling transport phenomena in media
    possessing internal structure: granular media,polymers, cellular
    structures in biology.

KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.         3 / 29
Hyperbolic generalization to Burgers equation

    Let us consider delayed equation

              ∂ u(t + τ, x)
                            + u(t, x) ux (t, x) = ν ux x (t, x).
                   ∂t

    Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up
                               ∂t
    to O(τ 2 ) the equation called the hyperbolic generalization of
    the Burgers equation (GBE to abbreviate):

                        τ utt + ut + u ux = ν ux x .               (2)


    GBE appears when modeling transport phenomena in media
    possessing internal structure: granular media,polymers, cellular
    structures in biology.

KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.         3 / 29
Hyperbolic generalization to Burgers equation

    Let us consider delayed equation

              ∂ u(t + τ, x)
                            + u(t, x) ux (t, x) = ν ux x (t, x).
                   ∂t

    Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up
                               ∂t
    to O(τ 2 ) the equation called the hyperbolic generalization of
    the Burgers equation (GBE to abbreviate):

                        τ utt + ut + u ux = ν ux x .               (2)


    GBE appears when modeling transport phenomena in media
    possessing internal structure: granular media,polymers, cellular
    structures in biology.

KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.         3 / 29
Hyperbolic generalization to Burgers equation

    Let us consider delayed equation

              ∂ u(t + τ, x)
                            + u(t, x) ux (t, x) = ν ux x (t, x).
                   ∂t

    Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up
                               ∂t
    to O(τ 2 ) the equation called the hyperbolic generalization of
    the Burgers equation (GBE to abbreviate):

                        τ utt + ut + u ux = ν ux x .               (2)


    GBE appears when modeling transport phenomena in media
    possessing internal structure: granular media,polymers, cellular
    structures in biology.

KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.         3 / 29
Various generalizations of Burgers equation


    Convection-reaction diffusion equation

                    ut + u ux = ν [un ux ]x + f (u),              (3)


    and its hyperbolic generalization

                 τ ut t + ut + u ux = ν [un ux ]x + f (u)         (4)




KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.         4 / 29
Various generalizations of Burgers equation


    Convection-reaction diffusion equation

                    ut + u ux = ν [un ux ]x + f (u),              (3)


    and its hyperbolic generalization

                 τ ut t + ut + u ux = ν [un ux ]x + f (u)         (4)




KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.         4 / 29
Solution to BE
    Lemma 1. BE is connected with the equation
                                1 2
                            ψt + ψx = ν ψ x x                    (5)
                                2
    by means of the transformation

                                                       u2
                     ψx = u,          ψt = ν ux −         .      (6)
                                                       2


    Lemma 2. The equation (5) is connected with the heat
    transport equation
                          Φt = ν Φx x
    by means of the transformation

                             ψ = −2 ν log Φ.


KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.         5 / 29
Solution to BE
    Lemma 1. BE is connected with the equation
                                1 2
                            ψt + ψx = ν ψ x x                    (5)
                                2
    by means of the transformation

                                                       u2
                     ψx = u,          ψt = ν ux −         .      (6)
                                                       2


    Lemma 2. The equation (5) is connected with the heat
    transport equation
                          Φt = ν Φx x
    by means of the transformation

                             ψ = −2 ν log Φ.


KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.         5 / 29
Solution to BE
    Lemma 1. BE is connected with the equation
                                1 2
                            ψt + ψx = ν ψ x x                    (5)
                                2
    by means of the transformation

                                                       u2
                     ψx = u,          ψt = ν ux −         .      (6)
                                                       2


    Lemma 2. The equation (5) is connected with the heat
    transport equation
                          Φt = ν Φx x
    by means of the transformation

                             ψ = −2 ν log Φ.


KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.         5 / 29
Corollary. Solution to the initial value problem

                          ut + u ux = ν u x x ,                      (7)
                               u(0, x) = F (x)

    is connected with the solution to the initial value problem

              Φt = ν Φ x x ,                                         (8)
                                             x
                                   1
             Φ(0, x) = exp −                     F (z) d z := θ(x)
                                  2ν     0

    via the transformation

                     u(t, x) = −2 ν {log[Φ(t, x)]}x .




KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.           6 / 29
Corollary. Solution to the initial value problem

                          ut + u ux = ν u x x ,                      (7)
                               u(0, x) = F (x)

    is connected with the solution to the initial value problem

              Φt = ν Φ x x ,                                         (8)
                                             x
                                   1
             Φ(0, x) = exp −                     F (z) d z := θ(x)
                                  2ν     0

    via the transformation

                     u(t, x) = −2 ν {log[Φ(t, x)]}x .




KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.           6 / 29
Corollary. Solution to the initial value problem

                          ut + u ux = ν u x x ,                      (7)
                               u(0, x) = F (x)

    is connected with the solution to the initial value problem

              Φt = ν Φ x x ,                                         (8)
                                             x
                                   1
             Φ(0, x) = exp −                     F (z) d z := θ(x)
                                  2ν     0

    via the transformation

                     u(t, x) = −2 ν {log[Φ(t, x)]}x .




KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.           6 / 29
Let us remind, that solution to the initial value problem (8) can
    be presented by the formula
                                              ∞             (x−ξ)2
                               1
                Φ(t, x) = √                       θ(ξ) e−     4ν t   d ξ.
                              4πν t          −∞


    Corollary. Solution to the initial value problem (7) is given by
    the formula
                               ∞ x−ξ − f (ξ;t, x)
                               −∞ t e              dξ
                                                2ν
                   u(t, x) =            f (ξ;t, x)
                                                      ,           (9)
                                 ∞ −
                                 −∞  e 2ν d ξ
    where
                                        ξ
                                                          (x − ξ)2
                  f (ξ; t, x) =             F (z) d z +
                                    0                        2t
    .
    So, the formula (9)completely defines the solution to Cauchy
    problem to BE!

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.             7 / 29
Let us remind, that solution to the initial value problem (8) can
    be presented by the formula
                                              ∞             (x−ξ)2
                               1
                Φ(t, x) = √                       θ(ξ) e−     4ν t   d ξ.
                              4πν t          −∞


    Corollary. Solution to the initial value problem (7) is given by
    the formula
                               ∞ x−ξ − f (ξ;t, x)
                               −∞ t e              dξ
                                                2ν
                   u(t, x) =            f (ξ;t, x)
                                                      ,           (9)
                                 ∞ −
                                 −∞  e 2ν d ξ
    where
                                        ξ
                                                          (x − ξ)2
                  f (ξ; t, x) =             F (z) d z +
                                    0                        2t
    .
    So, the formula (9)completely defines the solution to Cauchy
    problem to BE!

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.             7 / 29
Let us remind, that solution to the initial value problem (8) can
    be presented by the formula
                                              ∞             (x−ξ)2
                               1
                Φ(t, x) = √                       θ(ξ) e−     4ν t   d ξ.
                              4πν t          −∞


    Corollary. Solution to the initial value problem (7) is given by
    the formula
                               ∞ x−ξ − f (ξ;t, x)
                               −∞ t e              dξ
                                                2ν
                   u(t, x) =            f (ξ;t, x)
                                                      ,           (9)
                                 ∞ −
                                 −∞  e 2ν d ξ
    where
                                        ξ
                                                          (x − ξ)2
                  f (ξ; t, x) =             F (z) d z +
                                    0                        2t
    .
    So, the formula (9)completely defines the solution to Cauchy
    problem to BE!

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.             7 / 29
Let us remind, that solution to the initial value problem (8) can
    be presented by the formula
                                              ∞             (x−ξ)2
                               1
                Φ(t, x) = √                       θ(ξ) e−     4ν t   d ξ.
                              4πν t          −∞


    Corollary. Solution to the initial value problem (7) is given by
    the formula
                               ∞ x−ξ − f (ξ;t, x)
                               −∞ t e              dξ
                                                2ν
                   u(t, x) =            f (ξ;t, x)
                                                      ,           (9)
                                 ∞ −
                                 −∞  e 2ν d ξ
    where
                                        ξ
                                                          (x − ξ)2
                  f (ξ; t, x) =             F (z) d z +
                                    0                        2t
    .
    So, the formula (9)completely defines the solution to Cauchy
    problem to BE!

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.             7 / 29
Example: solution of the ”point explosion” problem
    Let
                    u(0, x) = F (x) = Aδ(x)H(x),
                     1      (x−ξ)2               1 if x ≥ 0,
       δ(x) = lim √       e− 4 ν t ,   H(x) =                  .
             t→ +0  4πν t                      0      if x < 0




                                    Figure:
KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.    8 / 29
Example: solution of the ”point explosion” problem
    Let
                    u(0, x) = F (x) = Aδ(x)H(x),
                     1      (x−ξ)2               1 if x ≥ 0,
       δ(x) = lim √       e− 4 ν t ,   H(x) =                  .
             t→ +0  4πν t                      0      if x < 0




                                    Figure:
KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.    8 / 29
Performing simple but tedious calculations, we finally get the
    following solution to the point explosion problem:
                                                               x2
                            ν                  eR − 1 e− 4 ν t
             u(t, x) =          √                                          ,
                            t     π                    x
                                      (eR + 1) + erf( √4 ν t ) (1 − eR )
                                 2

    where                                           z
                                       2                   2
                             erf(z) = √                 e−x d x,
                                        π       0
            A
    R=      2ν   plays the role of the Reynolds number!




KPI, 2010                Nonlinear transport phenomena, Burgers Eqn.           9 / 29
Performing simple but tedious calculations, we finally get the
    following solution to the point explosion problem:
                                                               x2
                            ν                  eR − 1 e− 4 ν t
             u(t, x) =          √                                          ,
                            t     π                    x
                                      (eR + 1) + erf( √4 ν t ) (1 − eR )
                                 2

    where                                           z
                                       2                   2
                             erf(z) = √                 e−x d x,
                                        π       0
            A
    R=      2ν   plays the role of the Reynolds number!




KPI, 2010                Nonlinear transport phenomena, Burgers Eqn.           9 / 29
Performing simple but tedious calculations, we finally get the
    following solution to the point explosion problem:
                                                               x2
                            ν                  eR − 1 e− 4 ν t
             u(t, x) =          √                                          ,
                            t     π                    x
                                      (eR + 1) + erf( √4 ν t ) (1 − eR )
                                 2

    where                                           z
                                       2                   2
                             erf(z) = √                 e−x d x,
                                        π       0
            A
    R=      2ν   plays the role of the Reynolds number!




KPI, 2010                Nonlinear transport phenomena, Burgers Eqn.           9 / 29
Performing simple but tedious calculations, we finally get the
    following solution to the point explosion problem:
                                                               x2
                            ν                  eR − 1 e− 4 ν t
             u(t, x) =          √                                          ,
                            t     π                    x
                                      (eR + 1) + erf( √4 ν t ) (1 − eR )
                                 2

    where                                           z
                                       2                   2
                             erf(z) = √                 e−x d x,
                                        π       0
            A
    R=      2ν   plays the role of the Reynolds number!




KPI, 2010                Nonlinear transport phenomena, Burgers Eqn.           9 / 29
Suppose now, that ν becomes very large. Then

                                                               x
                 R→ 0        eR ≈ 1 + R,            erf    √          ≈ 0,
                                                               4ν t

    and

                                     x2
                        ν   A
                                 e− 4 ν t               A        x2
            u(t, x) =       2ν
                                 √        + O(R2 ) ≈ √       e− 4 ν t .
                        t          π                   4πν t


    Corollary.Solution to the ”point explosion” problem for the BE
    approaches solution to the ”heat explosion” problem for the
    linear heat transport equation, when ν becomes large.


KPI, 2010               Nonlinear transport phenomena, Burgers Eqn.          10 / 29
Suppose now, that ν becomes very large. Then

                                                               x
                 R→ 0        eR ≈ 1 + R,            erf    √          ≈ 0,
                                                               4ν t

    and

                                     x2
                        ν   A
                                 e− 4 ν t               A        x2
            u(t, x) =       2ν
                                 √        + O(R2 ) ≈ √       e− 4 ν t .
                        t          π                   4πν t


    Corollary.Solution to the ”point explosion” problem for the BE
    approaches solution to the ”heat explosion” problem for the
    linear heat transport equation, when ν becomes large.


KPI, 2010               Nonlinear transport phenomena, Burgers Eqn.          10 / 29
Suppose now, that ν becomes very large. Then

                                                               x
                 R→ 0        eR ≈ 1 + R,            erf    √          ≈ 0,
                                                               4ν t

    and

                                     x2
                        ν   A
                                 e− 4 ν t               A        x2
            u(t, x) =       2ν
                                 √        + O(R2 ) ≈ √       e− 4 ν t .
                        t          π                   4πν t


    Corollary.Solution to the ”point explosion” problem for the BE
    approaches solution to the ”heat explosion” problem for the
    linear heat transport equation, when ν becomes large.


KPI, 2010               Nonlinear transport phenomena, Burgers Eqn.          10 / 29
Suppose now, that ν becomes very large. Then

                                                               x
                 R→ 0        eR ≈ 1 + R,            erf    √          ≈ 0,
                                                               4ν t

    and

                                     x2
                        ν   A
                                 e− 4 ν t               A        x2
            u(t, x) =       2ν
                                 √        + O(R2 ) ≈ √       e− 4 ν t .
                        t          π                   4πν t


    Corollary.Solution to the ”point explosion” problem for the BE
    approaches solution to the ”heat explosion” problem for the
    linear heat transport equation, when ν becomes large.


KPI, 2010               Nonlinear transport phenomena, Burgers Eqn.          10 / 29
For large R the way of getting the approximating formula is less clear, so
    we restore to the results of the numerical simulation. Below it is shown the
    solution to ”point explosion” problem obtained for ν = 0.05 and R = 35:




                                       Figure:

    It reminds the shock wave profile
                             x                     √
                                t
                                   if t > 0, 0 < x < 2√ t,
                                                      A
                  u(t, x) =                                          ,
                             0 if t > 0, x < 0 or x > 2 A t
    which the BE ”shares” with the hyperbolic-type equation
                                    ut + u ux = 0,
KPI, 2010              Nonlinear transport phenomena, Burgers Eqn.                 11 / 29
For large R the way of getting the approximating formula is less clear, so
    we restore to the results of the numerical simulation. Below it is shown the
    solution to ”point explosion” problem obtained for ν = 0.05 and R = 35:




                                       Figure:

    It reminds the shock wave profile
                             x                     √
                                t
                                   if t > 0, 0 < x < 2√ t,
                                                      A
                  u(t, x) =                                          ,
                             0 if t > 0, x < 0 or x > 2 A t
    which the BE ”shares” with the hyperbolic-type equation
                                    ut + u ux = 0,
KPI, 2010              Nonlinear transport phenomena, Burgers Eqn.                 11 / 29
For large R the way of getting the approximating formula is less clear, so
    we restore to the results of the numerical simulation. Below it is shown the
    solution to ”point explosion” problem obtained for ν = 0.05 and R = 35:




                                       Figure:

    It reminds the shock wave profile
                             x                     √
                                t
                                   if t > 0, 0 < x < 2√ t,
                                                      A
                  u(t, x) =                                          ,
                             0 if t > 0, x < 0 or x > 2 A t
    which the BE ”shares” with the hyperbolic-type equation
                                    ut + u ux = 0,
KPI, 2010              Nonlinear transport phenomena, Burgers Eqn.                 11 / 29
Figure:


    A common solution
                            x
                                               √
                            t if t > 0, 0 < x < 2√ t,
                                                 A
            u(t, x) =
                        0 if t > 0, x < 0 or x > 2 A t,

    to the Burgers and the Euler equations

KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.   12 / 29
So the solutions to the point explosion problem for BE are
    completely different in the limiting cases: when
    R = A/(2 ν) → 0 it coincides with the solution of the heat
    explosion problem,
    while for large R it reminds the shock wave solution!




KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.   13 / 29
So the solutions to the point explosion problem for BE are
    completely different in the limiting cases: when
    R = A/(2 ν) → 0 it coincides with the solution of the heat
    explosion problem,
    while for large R it reminds the shock wave solution!




KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.   13 / 29
The hyperbolic generalization of BE

    Let us consider the Cauchy problem for the hyperbolic
    generalization of BE:

                     τ utt + ut + u ux = ν ux x ,                        (10)
                                   u(0, x) = ϕ(x).

    Considering the linearization of (10)

                       τ utt + ut + u0 ux = ν ux x ,

    we can conclude, that the parameter C =               ν/τ is equal to the
    velocity of small (acoustic) perturbations.
    If the initial perturbation ϕ(x) is a smooth compactly supported
    function, and D = max ϕ(x), then the number M = D/C (the
    ”Mach number”) characterizes the evolution of nonlinear wave.

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.                 14 / 29
The hyperbolic generalization of BE

    Let us consider the Cauchy problem for the hyperbolic
    generalization of BE:

                     τ utt + ut + u ux = ν ux x ,                        (10)
                                   u(0, x) = ϕ(x).

    Considering the linearization of (10)

                       τ utt + ut + u0 ux = ν ux x ,

    we can conclude, that the parameter C =               ν/τ is equal to the
    velocity of small (acoustic) perturbations.
    If the initial perturbation ϕ(x) is a smooth compactly supported
    function, and D = max ϕ(x), then the number M = D/C (the
    ”Mach number”) characterizes the evolution of nonlinear wave.

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.                 14 / 29
The hyperbolic generalization of BE

    Let us consider the Cauchy problem for the hyperbolic
    generalization of BE:

                     τ utt + ut + u ux = ν ux x ,                        (10)
                                   u(0, x) = ϕ(x).

    Considering the linearization of (10)

                       τ utt + ut + u0 ux = ν ux x ,

    we can conclude, that the parameter C =               ν/τ is equal to the
    velocity of small (acoustic) perturbations.
    If the initial perturbation ϕ(x) is a smooth compactly supported
    function, and D = max ϕ(x), then the number M = D/C (the
    ”Mach number”) characterizes the evolution of nonlinear wave.

KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.                 14 / 29
Results of the numerical simulation: M = 0.3




KPI, 2010         Nonlinear transport phenomena, Burgers Eqn.   15 / 29
Figure: M = 0.3




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   16 / 29
Figure: M = 0.3




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   17 / 29
Figure: M = 0.3




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   18 / 29
Figure: M = 0.3


    The solution of the initial perturbation reminds the evolution of
    the point explosion problem for BE in the case when
    R = A/(2 ν) is large.



KPI, 2010           Nonlinear transport phenomena, Burgers Eqn.     19 / 29
Results of the numerical simulation: M = 1.45




KPI, 2010        Nonlinear transport phenomena, Burgers Eqn.   20 / 29
Figure: M = 1.45




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   21 / 29
Figure: M = 1.45


    For M = 1 + ε a formation of the blow-up regime is observed at
    the beginning of evolution,



KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.       22 / 29
Figure: M = 1.45




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   23 / 29
Figure: M = 1.45


    but for larger t it is suppressed by viscosity and returns to the
    shape of the BE solution!



KPI, 2010            Nonlinear transport phenomena, Burgers Eqn.        24 / 29
Results of the numerical simulation: M = 1.8




KPI, 2010         Nonlinear transport phenomena, Burgers Eqn.   25 / 29
Figure: M = 1.8




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   26 / 29
Figure: M = 1.8




KPI, 2010   Nonlinear transport phenomena, Burgers Eqn.   27 / 29
Figure: M = 1.8


    For M = 1.8 (and larger ones) a blow-up regime is formed at
    the wave front in finite time!



KPI, 2010          Nonlinear transport phenomena, Burgers Eqn.    28 / 29
Appendix 1. Calculation of point explosion problem
for BE


    Since,
        ξ                             ∞
                                                                     −A, if ξ < 0,
            F (x) d x = −A lim            δ(x) φB (x) H(x) d x =
      0+                   B→+0 −∞                                    0, if ξ > 0,
                         ∞
    where φB (x) is any C0 function such that φ(x)|<B, ξ> ≡ 1, and
    supp φ ⊂ < B/2, ξ + B/2 > then
                                       (x−ξ)2
                                         2t   − A if       ξ < 0,
                     f (ξ; t, x) =       (x−ξ)2
                                           2 t , if ξ      > 0.




KPI, 2010              Nonlinear transport phenomena, Burgers Eqn.           29 / 29
Appendix 1. Calculation of point explosion problem
for BE


    Since,
        ξ                             ∞
                                                                     −A, if ξ < 0,
            F (x) d x = −A lim            δ(x) φB (x) H(x) d x =
      0+                   B→+0 −∞                                    0, if ξ > 0,
                         ∞
    where φB (x) is any C0 function such that φ(x)|<B, ξ> ≡ 1, and
    supp φ ⊂ < B/2, ξ + B/2 > then
                                       (x−ξ)2
                                         2t   − A if       ξ < 0,
                     f (ξ; t, x) =       (x−ξ)2
                                           2 t , if ξ      > 0.




KPI, 2010              Nonlinear transport phenomena, Burgers Eqn.           29 / 29

Mais conteúdo relacionado

Mais procurados

Autoregression
AutoregressionAutoregression
Autoregressionjchristo06
 
On estimating the integrated co volatility using
On estimating the integrated co volatility usingOn estimating the integrated co volatility using
On estimating the integrated co volatility usingkkislas
 
11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...Alexander Decker
 
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Neutral Electronic Excitations: a Many-body approach to the optical absorptio...
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Elena Cannuccia
 
PaperNo22-habibiIJMA17-20-2014-IJMA
PaperNo22-habibiIJMA17-20-2014-IJMAPaperNo22-habibiIJMA17-20-2014-IJMA
PaperNo22-habibiIJMA17-20-2014-IJMAMezban Habibi
 
Omiros' talk on the Bernoulli factory problem
Omiros' talk on the  Bernoulli factory problemOmiros' talk on the  Bernoulli factory problem
Omiros' talk on the Bernoulli factory problemBigMC
 
Natalini nse slide_giu2013
Natalini nse slide_giu2013Natalini nse slide_giu2013
Natalini nse slide_giu2013Madd Maths
 
Density exploration methods
Density exploration methodsDensity exploration methods
Density exploration methodsPierre Jacob
 
Unbiased MCMC with couplings
Unbiased MCMC with couplingsUnbiased MCMC with couplings
Unbiased MCMC with couplingsPierre Jacob
 
Couplings of Markov chains and the Poisson equation
Couplings of Markov chains and the Poisson equation Couplings of Markov chains and the Poisson equation
Couplings of Markov chains and the Poisson equation Pierre Jacob
 
2014 04 22 wits presentation oqw
2014 04 22 wits presentation oqw2014 04 22 wits presentation oqw
2014 04 22 wits presentation oqwRene Kotze
 
Cluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentationCluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentationColm Connaughton
 
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...Colm Connaughton
 
A new approach to constants of the motion and the helmholtz conditions
A new approach to constants of the motion and the helmholtz conditionsA new approach to constants of the motion and the helmholtz conditions
A new approach to constants of the motion and the helmholtz conditionsAlexander Decker
 
introduction-brownian-motion final
introduction-brownian-motion finalintroduction-brownian-motion final
introduction-brownian-motion finalK Thanh P Ng
 
Unbiased Markov chain Monte Carlo methods
Unbiased Markov chain Monte Carlo methods Unbiased Markov chain Monte Carlo methods
Unbiased Markov chain Monte Carlo methods Pierre Jacob
 
Time Series Analysis
Time Series AnalysisTime Series Analysis
Time Series AnalysisAmit Ghosh
 
Sviluppi modellistici sulla propagazione degli incendi boschivi
Sviluppi modellistici sulla propagazione degli incendi boschiviSviluppi modellistici sulla propagazione degli incendi boschivi
Sviluppi modellistici sulla propagazione degli incendi boschiviCRS4 Research Center in Sardinia
 

Mais procurados (20)

Autoregression
AutoregressionAutoregression
Autoregression
 
On estimating the integrated co volatility using
On estimating the integrated co volatility usingOn estimating the integrated co volatility using
On estimating the integrated co volatility using
 
11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...
 
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Neutral Electronic Excitations: a Many-body approach to the optical absorptio...
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...
 
PaperNo22-habibiIJMA17-20-2014-IJMA
PaperNo22-habibiIJMA17-20-2014-IJMAPaperNo22-habibiIJMA17-20-2014-IJMA
PaperNo22-habibiIJMA17-20-2014-IJMA
 
Omiros' talk on the Bernoulli factory problem
Omiros' talk on the  Bernoulli factory problemOmiros' talk on the  Bernoulli factory problem
Omiros' talk on the Bernoulli factory problem
 
Natalini nse slide_giu2013
Natalini nse slide_giu2013Natalini nse slide_giu2013
Natalini nse slide_giu2013
 
Density exploration methods
Density exploration methodsDensity exploration methods
Density exploration methods
 
Unbiased MCMC with couplings
Unbiased MCMC with couplingsUnbiased MCMC with couplings
Unbiased MCMC with couplings
 
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
QMC Program: Trends and Advances in Monte Carlo Sampling Algorithms Workshop,...
 
Couplings of Markov chains and the Poisson equation
Couplings of Markov chains and the Poisson equation Couplings of Markov chains and the Poisson equation
Couplings of Markov chains and the Poisson equation
 
ABC in Venezia
ABC in VeneziaABC in Venezia
ABC in Venezia
 
2014 04 22 wits presentation oqw
2014 04 22 wits presentation oqw2014 04 22 wits presentation oqw
2014 04 22 wits presentation oqw
 
Cluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentationCluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentation
 
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...
 
A new approach to constants of the motion and the helmholtz conditions
A new approach to constants of the motion and the helmholtz conditionsA new approach to constants of the motion and the helmholtz conditions
A new approach to constants of the motion and the helmholtz conditions
 
introduction-brownian-motion final
introduction-brownian-motion finalintroduction-brownian-motion final
introduction-brownian-motion final
 
Unbiased Markov chain Monte Carlo methods
Unbiased Markov chain Monte Carlo methods Unbiased Markov chain Monte Carlo methods
Unbiased Markov chain Monte Carlo methods
 
Time Series Analysis
Time Series AnalysisTime Series Analysis
Time Series Analysis
 
Sviluppi modellistici sulla propagazione degli incendi boschivi
Sviluppi modellistici sulla propagazione degli incendi boschiviSviluppi modellistici sulla propagazione degli incendi boschivi
Sviluppi modellistici sulla propagazione degli incendi boschivi
 

Destaque

Nonlinear transport phenomena: models, method of solving and unusual features...
Nonlinear transport phenomena: models, method of solving and unusual features...Nonlinear transport phenomena: models, method of solving and unusual features...
Nonlinear transport phenomena: models, method of solving and unusual features...SSA KPI
 
COMSOL Training Series (NNMDC Initiative)
COMSOL Training Series (NNMDC Initiative)COMSOL Training Series (NNMDC Initiative)
COMSOL Training Series (NNMDC Initiative)Aniket Tekawade
 
Comsol Multiphysics Presentation
Comsol Multiphysics PresentationComsol Multiphysics Presentation
Comsol Multiphysics PresentationManish Kumar Shaw
 
Pressure control valves
Pressure control valvesPressure control valves
Pressure control valvesShrenik Baid
 
Vapor liquid equilibrium using hysys
Vapor liquid equilibrium using hysysVapor liquid equilibrium using hysys
Vapor liquid equilibrium using hysysUET
 
Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®
Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®
Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®Design World
 
Transport phenomena-Mass Transfer 31-Jul-2016
Transport phenomena-Mass Transfer 31-Jul-2016Transport phenomena-Mass Transfer 31-Jul-2016
Transport phenomena-Mass Transfer 31-Jul-2016Muhammad Rashid Usman
 
Pressure Relief Valve Sizing for Single Phase Flow
Pressure Relief Valve Sizing for Single Phase FlowPressure Relief Valve Sizing for Single Phase Flow
Pressure Relief Valve Sizing for Single Phase FlowVikram Sharma
 
Reciprocating compressor
Reciprocating compressorReciprocating compressor
Reciprocating compressorhambardikar55
 
Basics of Compressor
Basics of CompressorBasics of Compressor
Basics of CompressorSLA1987
 

Destaque (11)

Nonlinear transport phenomena: models, method of solving and unusual features...
Nonlinear transport phenomena: models, method of solving and unusual features...Nonlinear transport phenomena: models, method of solving and unusual features...
Nonlinear transport phenomena: models, method of solving and unusual features...
 
COMSOL Training Series (NNMDC Initiative)
COMSOL Training Series (NNMDC Initiative)COMSOL Training Series (NNMDC Initiative)
COMSOL Training Series (NNMDC Initiative)
 
Comsol Multiphysics Presentation
Comsol Multiphysics PresentationComsol Multiphysics Presentation
Comsol Multiphysics Presentation
 
Pressure control valves
Pressure control valvesPressure control valves
Pressure control valves
 
Vapor liquid equilibrium using hysys
Vapor liquid equilibrium using hysysVapor liquid equilibrium using hysys
Vapor liquid equilibrium using hysys
 
Hysys simulation
Hysys simulationHysys simulation
Hysys simulation
 
Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®
Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®
Simulation-Led Design Using SolidWorks® and COMSOL Multiphysics®
 
Transport phenomena-Mass Transfer 31-Jul-2016
Transport phenomena-Mass Transfer 31-Jul-2016Transport phenomena-Mass Transfer 31-Jul-2016
Transport phenomena-Mass Transfer 31-Jul-2016
 
Pressure Relief Valve Sizing for Single Phase Flow
Pressure Relief Valve Sizing for Single Phase FlowPressure Relief Valve Sizing for Single Phase Flow
Pressure Relief Valve Sizing for Single Phase Flow
 
Reciprocating compressor
Reciprocating compressorReciprocating compressor
Reciprocating compressor
 
Basics of Compressor
Basics of CompressorBasics of Compressor
Basics of Compressor
 

Semelhante a Nonlinear transport phenomena: models, method of solving and unusual features (2)

PaperNo5-HabibiYousefi-IJAM
PaperNo5-HabibiYousefi-IJAMPaperNo5-HabibiYousefi-IJAM
PaperNo5-HabibiYousefi-IJAMMezban Habibi
 
Switkes01200543268
Switkes01200543268Switkes01200543268
Switkes01200543268Hitesh Wagle
 
N17. Bellettini- "constraining spacetime torsion"
N17. Bellettini- "constraining spacetime torsion" N17. Bellettini- "constraining spacetime torsion"
N17. Bellettini- "constraining spacetime torsion" IAPS
 
Mit2 092 f09_lec16
Mit2 092 f09_lec16Mit2 092 f09_lec16
Mit2 092 f09_lec16Rahman Hakim
 
The lattice Boltzmann equation: background and boundary conditions
The lattice Boltzmann equation: background and boundary conditionsThe lattice Boltzmann equation: background and boundary conditions
The lattice Boltzmann equation: background and boundary conditionsTim Reis
 
On probability distributions
On probability distributionsOn probability distributions
On probability distributionsEric Xihui Lin
 
Adaptive dynamic programming for control
Adaptive dynamic programming for controlAdaptive dynamic programming for control
Adaptive dynamic programming for controlSpringer
 
Ph 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICSPh 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICSChandan Singh
 
legendre transformatio.pptx
legendre transformatio.pptxlegendre transformatio.pptx
legendre transformatio.pptxMohsan10
 
Theoretical Spectroscopy Lectures: real-time approach 2
Theoretical Spectroscopy Lectures: real-time approach 2Theoretical Spectroscopy Lectures: real-time approach 2
Theoretical Spectroscopy Lectures: real-time approach 2Claudio Attaccalite
 
quan2009.pdf
quan2009.pdfquan2009.pdf
quan2009.pdfTriPham86
 
Tales on two commuting transformations or flows
Tales on two commuting transformations or flowsTales on two commuting transformations or flows
Tales on two commuting transformations or flowsVjekoslavKovac1
 
IGARSS_AMASM_woo_20110727.pdf
IGARSS_AMASM_woo_20110727.pdfIGARSS_AMASM_woo_20110727.pdf
IGARSS_AMASM_woo_20110727.pdfgrssieee
 
Paper id 21201486
Paper id 21201486Paper id 21201486
Paper id 21201486IJRAT
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
 

Semelhante a Nonlinear transport phenomena: models, method of solving and unusual features (2) (20)

Hw2 s
Hw2 sHw2 s
Hw2 s
 
PaperNo5-HabibiYousefi-IJAM
PaperNo5-HabibiYousefi-IJAMPaperNo5-HabibiYousefi-IJAM
PaperNo5-HabibiYousefi-IJAM
 
Quantum chaos of generic systems - Marko Robnik
Quantum chaos of generic systems - Marko RobnikQuantum chaos of generic systems - Marko Robnik
Quantum chaos of generic systems - Marko Robnik
 
RAMM.pptx
RAMM.pptxRAMM.pptx
RAMM.pptx
 
Switkes01200543268
Switkes01200543268Switkes01200543268
Switkes01200543268
 
N17. Bellettini- "constraining spacetime torsion"
N17. Bellettini- "constraining spacetime torsion" N17. Bellettini- "constraining spacetime torsion"
N17. Bellettini- "constraining spacetime torsion"
 
Mit2 092 f09_lec16
Mit2 092 f09_lec16Mit2 092 f09_lec16
Mit2 092 f09_lec16
 
The lattice Boltzmann equation: background and boundary conditions
The lattice Boltzmann equation: background and boundary conditionsThe lattice Boltzmann equation: background and boundary conditions
The lattice Boltzmann equation: background and boundary conditions
 
Anomalous Transport
Anomalous TransportAnomalous Transport
Anomalous Transport
 
On probability distributions
On probability distributionsOn probability distributions
On probability distributions
 
Adaptive dynamic programming for control
Adaptive dynamic programming for controlAdaptive dynamic programming for control
Adaptive dynamic programming for control
 
Ph 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICSPh 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICS
 
legendre transformatio.pptx
legendre transformatio.pptxlegendre transformatio.pptx
legendre transformatio.pptx
 
Theoretical Spectroscopy Lectures: real-time approach 2
Theoretical Spectroscopy Lectures: real-time approach 2Theoretical Spectroscopy Lectures: real-time approach 2
Theoretical Spectroscopy Lectures: real-time approach 2
 
quan2009.pdf
quan2009.pdfquan2009.pdf
quan2009.pdf
 
Ane Xe 1,2,3,4
Ane Xe 1,2,3,4Ane Xe 1,2,3,4
Ane Xe 1,2,3,4
 
Tales on two commuting transformations or flows
Tales on two commuting transformations or flowsTales on two commuting transformations or flows
Tales on two commuting transformations or flows
 
IGARSS_AMASM_woo_20110727.pdf
IGARSS_AMASM_woo_20110727.pdfIGARSS_AMASM_woo_20110727.pdf
IGARSS_AMASM_woo_20110727.pdf
 
Paper id 21201486
Paper id 21201486Paper id 21201486
Paper id 21201486
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
 

Mais de SSA KPI

Germany presentation
Germany presentationGermany presentation
Germany presentationSSA KPI
 
Grand challenges in energy
Grand challenges in energyGrand challenges in energy
Grand challenges in energySSA KPI
 
Engineering role in sustainability
Engineering role in sustainabilityEngineering role in sustainability
Engineering role in sustainabilitySSA KPI
 
Consensus and interaction on a long term strategy for sustainable development
Consensus and interaction on a long term strategy for sustainable developmentConsensus and interaction on a long term strategy for sustainable development
Consensus and interaction on a long term strategy for sustainable developmentSSA KPI
 
Competences in sustainability in engineering education
Competences in sustainability in engineering educationCompetences in sustainability in engineering education
Competences in sustainability in engineering educationSSA KPI
 
Introducatio SD for enginers
Introducatio SD for enginersIntroducatio SD for enginers
Introducatio SD for enginersSSA KPI
 
DAAD-10.11.2011
DAAD-10.11.2011DAAD-10.11.2011
DAAD-10.11.2011SSA KPI
 
Talking with money
Talking with moneyTalking with money
Talking with moneySSA KPI
 
'Green' startup investment
'Green' startup investment'Green' startup investment
'Green' startup investmentSSA KPI
 
From Huygens odd sympathy to the energy Huygens' extraction from the sea waves
From Huygens odd sympathy to the energy Huygens' extraction from the sea wavesFrom Huygens odd sympathy to the energy Huygens' extraction from the sea waves
From Huygens odd sympathy to the energy Huygens' extraction from the sea wavesSSA KPI
 
Dynamics of dice games
Dynamics of dice gamesDynamics of dice games
Dynamics of dice gamesSSA KPI
 
Energy Security Costs
Energy Security CostsEnergy Security Costs
Energy Security CostsSSA KPI
 
Naturally Occurring Radioactivity (NOR) in natural and anthropic environments
Naturally Occurring Radioactivity (NOR) in natural and anthropic environmentsNaturally Occurring Radioactivity (NOR) in natural and anthropic environments
Naturally Occurring Radioactivity (NOR) in natural and anthropic environmentsSSA KPI
 
Advanced energy technology for sustainable development. Part 5
Advanced energy technology for sustainable development. Part 5Advanced energy technology for sustainable development. Part 5
Advanced energy technology for sustainable development. Part 5SSA KPI
 
Advanced energy technology for sustainable development. Part 4
Advanced energy technology for sustainable development. Part 4Advanced energy technology for sustainable development. Part 4
Advanced energy technology for sustainable development. Part 4SSA KPI
 
Advanced energy technology for sustainable development. Part 3
Advanced energy technology for sustainable development. Part 3Advanced energy technology for sustainable development. Part 3
Advanced energy technology for sustainable development. Part 3SSA KPI
 
Advanced energy technology for sustainable development. Part 2
Advanced energy technology for sustainable development. Part 2Advanced energy technology for sustainable development. Part 2
Advanced energy technology for sustainable development. Part 2SSA KPI
 
Advanced energy technology for sustainable development. Part 1
Advanced energy technology for sustainable development. Part 1Advanced energy technology for sustainable development. Part 1
Advanced energy technology for sustainable development. Part 1SSA KPI
 
Fluorescent proteins in current biology
Fluorescent proteins in current biologyFluorescent proteins in current biology
Fluorescent proteins in current biologySSA KPI
 
Neurotransmitter systems of the brain and their functions
Neurotransmitter systems of the brain and their functionsNeurotransmitter systems of the brain and their functions
Neurotransmitter systems of the brain and their functionsSSA KPI
 

Mais de SSA KPI (20)

Germany presentation
Germany presentationGermany presentation
Germany presentation
 
Grand challenges in energy
Grand challenges in energyGrand challenges in energy
Grand challenges in energy
 
Engineering role in sustainability
Engineering role in sustainabilityEngineering role in sustainability
Engineering role in sustainability
 
Consensus and interaction on a long term strategy for sustainable development
Consensus and interaction on a long term strategy for sustainable developmentConsensus and interaction on a long term strategy for sustainable development
Consensus and interaction on a long term strategy for sustainable development
 
Competences in sustainability in engineering education
Competences in sustainability in engineering educationCompetences in sustainability in engineering education
Competences in sustainability in engineering education
 
Introducatio SD for enginers
Introducatio SD for enginersIntroducatio SD for enginers
Introducatio SD for enginers
 
DAAD-10.11.2011
DAAD-10.11.2011DAAD-10.11.2011
DAAD-10.11.2011
 
Talking with money
Talking with moneyTalking with money
Talking with money
 
'Green' startup investment
'Green' startup investment'Green' startup investment
'Green' startup investment
 
From Huygens odd sympathy to the energy Huygens' extraction from the sea waves
From Huygens odd sympathy to the energy Huygens' extraction from the sea wavesFrom Huygens odd sympathy to the energy Huygens' extraction from the sea waves
From Huygens odd sympathy to the energy Huygens' extraction from the sea waves
 
Dynamics of dice games
Dynamics of dice gamesDynamics of dice games
Dynamics of dice games
 
Energy Security Costs
Energy Security CostsEnergy Security Costs
Energy Security Costs
 
Naturally Occurring Radioactivity (NOR) in natural and anthropic environments
Naturally Occurring Radioactivity (NOR) in natural and anthropic environmentsNaturally Occurring Radioactivity (NOR) in natural and anthropic environments
Naturally Occurring Radioactivity (NOR) in natural and anthropic environments
 
Advanced energy technology for sustainable development. Part 5
Advanced energy technology for sustainable development. Part 5Advanced energy technology for sustainable development. Part 5
Advanced energy technology for sustainable development. Part 5
 
Advanced energy technology for sustainable development. Part 4
Advanced energy technology for sustainable development. Part 4Advanced energy technology for sustainable development. Part 4
Advanced energy technology for sustainable development. Part 4
 
Advanced energy technology for sustainable development. Part 3
Advanced energy technology for sustainable development. Part 3Advanced energy technology for sustainable development. Part 3
Advanced energy technology for sustainable development. Part 3
 
Advanced energy technology for sustainable development. Part 2
Advanced energy technology for sustainable development. Part 2Advanced energy technology for sustainable development. Part 2
Advanced energy technology for sustainable development. Part 2
 
Advanced energy technology for sustainable development. Part 1
Advanced energy technology for sustainable development. Part 1Advanced energy technology for sustainable development. Part 1
Advanced energy technology for sustainable development. Part 1
 
Fluorescent proteins in current biology
Fluorescent proteins in current biologyFluorescent proteins in current biology
Fluorescent proteins in current biology
 
Neurotransmitter systems of the brain and their functions
Neurotransmitter systems of the brain and their functionsNeurotransmitter systems of the brain and their functions
Neurotransmitter systems of the brain and their functions
 

Último

mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 

Último (20)

mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 

Nonlinear transport phenomena: models, method of solving and unusual features (2)

  • 1. Nonlinear transport phenomena: models, method of solving and unusual features Vsevolod Vladimirov AGH University of Science and technology, Faculty of Applied Mathematics ´ Krakow, August 10, 2010 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 1 / 29
  • 2. Burgers equation Consider the second law of Newton for viscous incompressible fluid: ∂ ui ∂ ui 1∂P + uj j + = ν ∆ ui , i = 1, ...n, n = 1, 2 or 3, ∂t ∂x ρ ∂ xi u(t, x) is the velocity field, ∂ j ∂ ∂ t + u ∂ xj is the time ( substantial) derivative; ρ is the constant density ; P is the pressure ; ν is the viscosity coefficient; 2 ∆ = n ∂∂x2 is the Laplace operator. i=1 i For P = const, n = 1, we get the Burgers equation ut + u ux = ν ux x . (1) KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 2 / 29
  • 3. Burgers equation Consider the second law of Newton for viscous incompressible fluid: ∂ ui ∂ ui 1∂P + uj j + = ν ∆ ui , i = 1, ...n, n = 1, 2 or 3, ∂t ∂x ρ ∂ xi u(t, x) is the velocity field, ∂ j ∂ ∂ t + u ∂ xj is the time ( substantial) derivative; ρ is the constant density ; P is the pressure ; ν is the viscosity coefficient; 2 ∆ = n ∂∂x2 is the Laplace operator. i=1 i For P = const, n = 1, we get the Burgers equation ut + u ux = ν ux x . (1) KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 2 / 29
  • 4. Burgers equation Consider the second law of Newton for viscous incompressible fluid: ∂ ui ∂ ui 1∂P + uj j + = ν ∆ ui , i = 1, ...n, n = 1, 2 or 3, ∂t ∂x ρ ∂ xi u(t, x) is the velocity field, ∂ j ∂ ∂ t + u ∂ xj is the time ( substantial) derivative; ρ is the constant density ; P is the pressure ; ν is the viscosity coefficient; 2 ∆ = n ∂∂x2 is the Laplace operator. i=1 i For P = const, n = 1, we get the Burgers equation ut + u ux = ν ux x . (1) KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 2 / 29
  • 5. Hyperbolic generalization to Burgers equation Let us consider delayed equation ∂ u(t + τ, x) + u(t, x) ux (t, x) = ν ux x (t, x). ∂t Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up ∂t to O(τ 2 ) the equation called the hyperbolic generalization of the Burgers equation (GBE to abbreviate): τ utt + ut + u ux = ν ux x . (2) GBE appears when modeling transport phenomena in media possessing internal structure: granular media,polymers, cellular structures in biology. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 3 / 29
  • 6. Hyperbolic generalization to Burgers equation Let us consider delayed equation ∂ u(t + τ, x) + u(t, x) ux (t, x) = ν ux x (t, x). ∂t Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up ∂t to O(τ 2 ) the equation called the hyperbolic generalization of the Burgers equation (GBE to abbreviate): τ utt + ut + u ux = ν ux x . (2) GBE appears when modeling transport phenomena in media possessing internal structure: granular media,polymers, cellular structures in biology. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 3 / 29
  • 7. Hyperbolic generalization to Burgers equation Let us consider delayed equation ∂ u(t + τ, x) + u(t, x) ux (t, x) = ν ux x (t, x). ∂t Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up ∂t to O(τ 2 ) the equation called the hyperbolic generalization of the Burgers equation (GBE to abbreviate): τ utt + ut + u ux = ν ux x . (2) GBE appears when modeling transport phenomena in media possessing internal structure: granular media,polymers, cellular structures in biology. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 3 / 29
  • 8. Hyperbolic generalization to Burgers equation Let us consider delayed equation ∂ u(t + τ, x) + u(t, x) ux (t, x) = ν ux x (t, x). ∂t Applying to the term ∂ u(t+τ, x) the Taylor formula, we get, up ∂t to O(τ 2 ) the equation called the hyperbolic generalization of the Burgers equation (GBE to abbreviate): τ utt + ut + u ux = ν ux x . (2) GBE appears when modeling transport phenomena in media possessing internal structure: granular media,polymers, cellular structures in biology. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 3 / 29
  • 9. Various generalizations of Burgers equation Convection-reaction diffusion equation ut + u ux = ν [un ux ]x + f (u), (3) and its hyperbolic generalization τ ut t + ut + u ux = ν [un ux ]x + f (u) (4) KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 4 / 29
  • 10. Various generalizations of Burgers equation Convection-reaction diffusion equation ut + u ux = ν [un ux ]x + f (u), (3) and its hyperbolic generalization τ ut t + ut + u ux = ν [un ux ]x + f (u) (4) KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 4 / 29
  • 11. Solution to BE Lemma 1. BE is connected with the equation 1 2 ψt + ψx = ν ψ x x (5) 2 by means of the transformation u2 ψx = u, ψt = ν ux − . (6) 2 Lemma 2. The equation (5) is connected with the heat transport equation Φt = ν Φx x by means of the transformation ψ = −2 ν log Φ. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 5 / 29
  • 12. Solution to BE Lemma 1. BE is connected with the equation 1 2 ψt + ψx = ν ψ x x (5) 2 by means of the transformation u2 ψx = u, ψt = ν ux − . (6) 2 Lemma 2. The equation (5) is connected with the heat transport equation Φt = ν Φx x by means of the transformation ψ = −2 ν log Φ. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 5 / 29
  • 13. Solution to BE Lemma 1. BE is connected with the equation 1 2 ψt + ψx = ν ψ x x (5) 2 by means of the transformation u2 ψx = u, ψt = ν ux − . (6) 2 Lemma 2. The equation (5) is connected with the heat transport equation Φt = ν Φx x by means of the transformation ψ = −2 ν log Φ. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 5 / 29
  • 14. Corollary. Solution to the initial value problem ut + u ux = ν u x x , (7) u(0, x) = F (x) is connected with the solution to the initial value problem Φt = ν Φ x x , (8) x 1 Φ(0, x) = exp − F (z) d z := θ(x) 2ν 0 via the transformation u(t, x) = −2 ν {log[Φ(t, x)]}x . KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 6 / 29
  • 15. Corollary. Solution to the initial value problem ut + u ux = ν u x x , (7) u(0, x) = F (x) is connected with the solution to the initial value problem Φt = ν Φ x x , (8) x 1 Φ(0, x) = exp − F (z) d z := θ(x) 2ν 0 via the transformation u(t, x) = −2 ν {log[Φ(t, x)]}x . KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 6 / 29
  • 16. Corollary. Solution to the initial value problem ut + u ux = ν u x x , (7) u(0, x) = F (x) is connected with the solution to the initial value problem Φt = ν Φ x x , (8) x 1 Φ(0, x) = exp − F (z) d z := θ(x) 2ν 0 via the transformation u(t, x) = −2 ν {log[Φ(t, x)]}x . KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 6 / 29
  • 17. Let us remind, that solution to the initial value problem (8) can be presented by the formula ∞ (x−ξ)2 1 Φ(t, x) = √ θ(ξ) e− 4ν t d ξ. 4πν t −∞ Corollary. Solution to the initial value problem (7) is given by the formula ∞ x−ξ − f (ξ;t, x) −∞ t e dξ 2ν u(t, x) = f (ξ;t, x) , (9) ∞ − −∞ e 2ν d ξ where ξ (x − ξ)2 f (ξ; t, x) = F (z) d z + 0 2t . So, the formula (9)completely defines the solution to Cauchy problem to BE! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 7 / 29
  • 18. Let us remind, that solution to the initial value problem (8) can be presented by the formula ∞ (x−ξ)2 1 Φ(t, x) = √ θ(ξ) e− 4ν t d ξ. 4πν t −∞ Corollary. Solution to the initial value problem (7) is given by the formula ∞ x−ξ − f (ξ;t, x) −∞ t e dξ 2ν u(t, x) = f (ξ;t, x) , (9) ∞ − −∞ e 2ν d ξ where ξ (x − ξ)2 f (ξ; t, x) = F (z) d z + 0 2t . So, the formula (9)completely defines the solution to Cauchy problem to BE! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 7 / 29
  • 19. Let us remind, that solution to the initial value problem (8) can be presented by the formula ∞ (x−ξ)2 1 Φ(t, x) = √ θ(ξ) e− 4ν t d ξ. 4πν t −∞ Corollary. Solution to the initial value problem (7) is given by the formula ∞ x−ξ − f (ξ;t, x) −∞ t e dξ 2ν u(t, x) = f (ξ;t, x) , (9) ∞ − −∞ e 2ν d ξ where ξ (x − ξ)2 f (ξ; t, x) = F (z) d z + 0 2t . So, the formula (9)completely defines the solution to Cauchy problem to BE! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 7 / 29
  • 20. Let us remind, that solution to the initial value problem (8) can be presented by the formula ∞ (x−ξ)2 1 Φ(t, x) = √ θ(ξ) e− 4ν t d ξ. 4πν t −∞ Corollary. Solution to the initial value problem (7) is given by the formula ∞ x−ξ − f (ξ;t, x) −∞ t e dξ 2ν u(t, x) = f (ξ;t, x) , (9) ∞ − −∞ e 2ν d ξ where ξ (x − ξ)2 f (ξ; t, x) = F (z) d z + 0 2t . So, the formula (9)completely defines the solution to Cauchy problem to BE! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 7 / 29
  • 21. Example: solution of the ”point explosion” problem Let u(0, x) = F (x) = Aδ(x)H(x), 1 (x−ξ)2 1 if x ≥ 0, δ(x) = lim √ e− 4 ν t , H(x) = . t→ +0 4πν t 0 if x < 0 Figure: KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 8 / 29
  • 22. Example: solution of the ”point explosion” problem Let u(0, x) = F (x) = Aδ(x)H(x), 1 (x−ξ)2 1 if x ≥ 0, δ(x) = lim √ e− 4 ν t , H(x) = . t→ +0 4πν t 0 if x < 0 Figure: KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 8 / 29
  • 23. Performing simple but tedious calculations, we finally get the following solution to the point explosion problem: x2 ν eR − 1 e− 4 ν t u(t, x) = √ , t π x (eR + 1) + erf( √4 ν t ) (1 − eR ) 2 where z 2 2 erf(z) = √ e−x d x, π 0 A R= 2ν plays the role of the Reynolds number! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 9 / 29
  • 24. Performing simple but tedious calculations, we finally get the following solution to the point explosion problem: x2 ν eR − 1 e− 4 ν t u(t, x) = √ , t π x (eR + 1) + erf( √4 ν t ) (1 − eR ) 2 where z 2 2 erf(z) = √ e−x d x, π 0 A R= 2ν plays the role of the Reynolds number! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 9 / 29
  • 25. Performing simple but tedious calculations, we finally get the following solution to the point explosion problem: x2 ν eR − 1 e− 4 ν t u(t, x) = √ , t π x (eR + 1) + erf( √4 ν t ) (1 − eR ) 2 where z 2 2 erf(z) = √ e−x d x, π 0 A R= 2ν plays the role of the Reynolds number! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 9 / 29
  • 26. Performing simple but tedious calculations, we finally get the following solution to the point explosion problem: x2 ν eR − 1 e− 4 ν t u(t, x) = √ , t π x (eR + 1) + erf( √4 ν t ) (1 − eR ) 2 where z 2 2 erf(z) = √ e−x d x, π 0 A R= 2ν plays the role of the Reynolds number! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 9 / 29
  • 27. Suppose now, that ν becomes very large. Then x R→ 0 eR ≈ 1 + R, erf √ ≈ 0, 4ν t and x2 ν A e− 4 ν t A x2 u(t, x) = 2ν √ + O(R2 ) ≈ √ e− 4 ν t . t π 4πν t Corollary.Solution to the ”point explosion” problem for the BE approaches solution to the ”heat explosion” problem for the linear heat transport equation, when ν becomes large. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 10 / 29
  • 28. Suppose now, that ν becomes very large. Then x R→ 0 eR ≈ 1 + R, erf √ ≈ 0, 4ν t and x2 ν A e− 4 ν t A x2 u(t, x) = 2ν √ + O(R2 ) ≈ √ e− 4 ν t . t π 4πν t Corollary.Solution to the ”point explosion” problem for the BE approaches solution to the ”heat explosion” problem for the linear heat transport equation, when ν becomes large. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 10 / 29
  • 29. Suppose now, that ν becomes very large. Then x R→ 0 eR ≈ 1 + R, erf √ ≈ 0, 4ν t and x2 ν A e− 4 ν t A x2 u(t, x) = 2ν √ + O(R2 ) ≈ √ e− 4 ν t . t π 4πν t Corollary.Solution to the ”point explosion” problem for the BE approaches solution to the ”heat explosion” problem for the linear heat transport equation, when ν becomes large. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 10 / 29
  • 30. Suppose now, that ν becomes very large. Then x R→ 0 eR ≈ 1 + R, erf √ ≈ 0, 4ν t and x2 ν A e− 4 ν t A x2 u(t, x) = 2ν √ + O(R2 ) ≈ √ e− 4 ν t . t π 4πν t Corollary.Solution to the ”point explosion” problem for the BE approaches solution to the ”heat explosion” problem for the linear heat transport equation, when ν becomes large. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 10 / 29
  • 31. For large R the way of getting the approximating formula is less clear, so we restore to the results of the numerical simulation. Below it is shown the solution to ”point explosion” problem obtained for ν = 0.05 and R = 35: Figure: It reminds the shock wave profile  x √ t if t > 0, 0 < x < 2√ t, A u(t, x) = , 0 if t > 0, x < 0 or x > 2 A t which the BE ”shares” with the hyperbolic-type equation ut + u ux = 0, KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 11 / 29
  • 32. For large R the way of getting the approximating formula is less clear, so we restore to the results of the numerical simulation. Below it is shown the solution to ”point explosion” problem obtained for ν = 0.05 and R = 35: Figure: It reminds the shock wave profile  x √ t if t > 0, 0 < x < 2√ t, A u(t, x) = , 0 if t > 0, x < 0 or x > 2 A t which the BE ”shares” with the hyperbolic-type equation ut + u ux = 0, KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 11 / 29
  • 33. For large R the way of getting the approximating formula is less clear, so we restore to the results of the numerical simulation. Below it is shown the solution to ”point explosion” problem obtained for ν = 0.05 and R = 35: Figure: It reminds the shock wave profile  x √ t if t > 0, 0 < x < 2√ t, A u(t, x) = , 0 if t > 0, x < 0 or x > 2 A t which the BE ”shares” with the hyperbolic-type equation ut + u ux = 0, KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 11 / 29
  • 34. Figure: A common solution x √ t if t > 0, 0 < x < 2√ t, A u(t, x) = 0 if t > 0, x < 0 or x > 2 A t, to the Burgers and the Euler equations KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 12 / 29
  • 35. So the solutions to the point explosion problem for BE are completely different in the limiting cases: when R = A/(2 ν) → 0 it coincides with the solution of the heat explosion problem, while for large R it reminds the shock wave solution! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 13 / 29
  • 36. So the solutions to the point explosion problem for BE are completely different in the limiting cases: when R = A/(2 ν) → 0 it coincides with the solution of the heat explosion problem, while for large R it reminds the shock wave solution! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 13 / 29
  • 37. The hyperbolic generalization of BE Let us consider the Cauchy problem for the hyperbolic generalization of BE: τ utt + ut + u ux = ν ux x , (10) u(0, x) = ϕ(x). Considering the linearization of (10) τ utt + ut + u0 ux = ν ux x , we can conclude, that the parameter C = ν/τ is equal to the velocity of small (acoustic) perturbations. If the initial perturbation ϕ(x) is a smooth compactly supported function, and D = max ϕ(x), then the number M = D/C (the ”Mach number”) characterizes the evolution of nonlinear wave. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 14 / 29
  • 38. The hyperbolic generalization of BE Let us consider the Cauchy problem for the hyperbolic generalization of BE: τ utt + ut + u ux = ν ux x , (10) u(0, x) = ϕ(x). Considering the linearization of (10) τ utt + ut + u0 ux = ν ux x , we can conclude, that the parameter C = ν/τ is equal to the velocity of small (acoustic) perturbations. If the initial perturbation ϕ(x) is a smooth compactly supported function, and D = max ϕ(x), then the number M = D/C (the ”Mach number”) characterizes the evolution of nonlinear wave. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 14 / 29
  • 39. The hyperbolic generalization of BE Let us consider the Cauchy problem for the hyperbolic generalization of BE: τ utt + ut + u ux = ν ux x , (10) u(0, x) = ϕ(x). Considering the linearization of (10) τ utt + ut + u0 ux = ν ux x , we can conclude, that the parameter C = ν/τ is equal to the velocity of small (acoustic) perturbations. If the initial perturbation ϕ(x) is a smooth compactly supported function, and D = max ϕ(x), then the number M = D/C (the ”Mach number”) characterizes the evolution of nonlinear wave. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 14 / 29
  • 40. Results of the numerical simulation: M = 0.3 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 15 / 29
  • 41. Figure: M = 0.3 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 16 / 29
  • 42. Figure: M = 0.3 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 17 / 29
  • 43. Figure: M = 0.3 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 18 / 29
  • 44. Figure: M = 0.3 The solution of the initial perturbation reminds the evolution of the point explosion problem for BE in the case when R = A/(2 ν) is large. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 19 / 29
  • 45. Results of the numerical simulation: M = 1.45 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 20 / 29
  • 46. Figure: M = 1.45 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 21 / 29
  • 47. Figure: M = 1.45 For M = 1 + ε a formation of the blow-up regime is observed at the beginning of evolution, KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 22 / 29
  • 48. Figure: M = 1.45 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 23 / 29
  • 49. Figure: M = 1.45 but for larger t it is suppressed by viscosity and returns to the shape of the BE solution! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 24 / 29
  • 50. Results of the numerical simulation: M = 1.8 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 25 / 29
  • 51. Figure: M = 1.8 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 26 / 29
  • 52. Figure: M = 1.8 KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 27 / 29
  • 53. Figure: M = 1.8 For M = 1.8 (and larger ones) a blow-up regime is formed at the wave front in finite time! KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 28 / 29
  • 54. Appendix 1. Calculation of point explosion problem for BE Since, ξ ∞ −A, if ξ < 0, F (x) d x = −A lim δ(x) φB (x) H(x) d x = 0+ B→+0 −∞ 0, if ξ > 0, ∞ where φB (x) is any C0 function such that φ(x)|<B, ξ> ≡ 1, and supp φ ⊂ < B/2, ξ + B/2 > then (x−ξ)2 2t − A if ξ < 0, f (ξ; t, x) = (x−ξ)2 2 t , if ξ > 0. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 29 / 29
  • 55. Appendix 1. Calculation of point explosion problem for BE Since, ξ ∞ −A, if ξ < 0, F (x) d x = −A lim δ(x) φB (x) H(x) d x = 0+ B→+0 −∞ 0, if ξ > 0, ∞ where φB (x) is any C0 function such that φ(x)|<B, ξ> ≡ 1, and supp φ ⊂ < B/2, ξ + B/2 > then (x−ξ)2 2t − A if ξ < 0, f (ξ; t, x) = (x−ξ)2 2 t , if ξ > 0. KPI, 2010 Nonlinear transport phenomena, Burgers Eqn. 29 / 29