SlideShare uma empresa Scribd logo
1 de 7
Assignment On:
 ApplicAtiOns Of DifferentiAl equAtiOns
 euler methOD with exAmples

submitteD tO:
mAm nAilA hAbib
submitteD by:
shAhzAD Ali zAhiD
rOll #:
2k11-che-49
DAte: August 29, 2013
Applications of Differential Equations to Real
World System
 Cooling/Warming law
We have seen in Section 1.4 that the mathematical formulation of Newton’s
empirical law of cooling of an object in given by the linear first-order differential
equation
dT
= α(T − Tm )
dt

This is a separable differential equation. We have
dT
= αdt
(T − Tm )

or ln|T-Tm |=αt+c1
or

T(t) = Tm+c2eαt

 Population Growth and Decay
We have seen in section that the differential equation
dN (t )
= kN (t )
dt
where N(t) denotes population at time t and k is a constant of proportionality,
serves as a model for population growth and decay of insects, animals and human
population at certain places and duration.
Solution of this equation is
kt

N(t)=Ce , where C is the constant of integration:
dN (t )
= kdt
N (t )
Integrating both sides we get
lnN(t)=kt+ln C
or ln
or

N (t )
= kt
C

N(t)=Cekt

C can be determined if N(t) is given at certain time.

 Radio-active Decay and Carbon Dating
As discussed in Section 1.4.2. a radioactive substance decomposes at a
rate proportional to its mass. This rate is called the decay rate. If m(t) represents

the mass of a substance at any time, then the decay rate

dm
is proportional to
dt

m(t). Let us recall that the half-life of a substance is the amount of time for it to
decay to one-half of its initial mass.
Carbon Dating: The key to the carbon dating of paintings and other materials
such as fossils and rocks lies in the phenomenon of radioactivity discovered at
the turn of the century. The physicist Rutherford and his colleagues showed that
the atoms of certain radioactive elements are unstable and that within a given
time period a fixed portion of the atoms spontaneously disintegrate to form atoms
of a new element. Because radioactivity is a property of the atom, Rutherford
showed that the radioactivity of a substance is directly proportional to the number
of atoms of the substance present. Thus, if N(t) denotes the number of atoms
present at time t, then

dN
, the number of atoms that disintegrate per unit time, is
dt

proportional to N; that is,
dN
= − λN
dt

(4.5)

 Series Circuits
Let a series circuit contain only a resistor and an inductor. By Kirchhoff’s second

 di 
 and the voltage drop
 dt 

law the sum of the voltage drop across the inductor Ι

across the resistor (iR) is the same as the impressed voltage (E(t)) on the circuit.
Current at time t, i(t), is the solution of the differential equation.
Ι

di
+ Ri = E (t )
dt

(4.10)

where Ι and R are constants known as the inductance and the resistance
respectively.
The voltage drop across a capacitor with capacitance C is given by

q( t )
,
C

where q is the charge on the capacitor. Hence, for the series circuit shown in
Figure 4.3 we get the following equation by applying Kirchhoff’s second law
Ri +

1
q = E (t )
C

Since i =
R

(4.11)

dq
, (4.11) can be written as
dt

dq 1
+ q = E( t )
dt C

(4.12)
 Survivability with AIDS
Equation (1.31) provides survival fraction S(t). It is a separable equation
and its solution is
S(t) =Si+(1-Si)e-kt:
Given equation is
dS(t )
= − k (S(t ) − Si )
dt
dS
= −kdt
S (t ) − S i

Integrating both sides, we get
ln|S(t)-Si|=-kt+lnc
ln

| S( t ) − Si |
= −kt
c

or

S( t ) − Si
= e −kt
c

S(t)=Si+ce-kt
Let S(0)=1 then c=1-Si. Therefore
S(t) =Si +(1-Si)e-kt
We can rewrite this equation in the equivalent form.
S(t)=Si+(1-Si)e-t/T
where, in analogy to radioactive nuclear decay,
T is the time required for half of the mortal part of the cohort to die-that is,
the survival half life.
 Economics and Finance
We have presented models of supply, demand and compounding interest in
Section 1.4.3. We solve those models, namely equations (1.11) and (1.16).
(1.11), that is equation
dP
= k(D − S) is a separable differential equation of first-order. We can
dt

write it as
dP=k(D-S) dt.
Integrating both sides, we get
P(t)=k(D-S)t+A
where A is a constant of integration.
Solution of (1.16), which is also a separable equation, is
S(t)=S(0) ert

(4.20)

where S(0) is the initial money in the account

 Drug Distribution (Concentration) in Human Body
To combat the infection to human a body appropriate dose of medicine is
essential. Because the amount of the drug in the human body decreases with
time medicine must be given in multiple doses. The rate at which the level y of
the drug in a patient’s blood decays can be modeled by the decay equation
dy
= −ky
dt
where k is a constant to be experimentally determined for each drug. If initially,
that is, at t=0 a patient is given an initial dose y p, then the drug level y at any time
t is the solution of the above differential equations, that is,
y(t)=yp e-kt

 A Pursuit Problem
A dog chasing a rabbit is shown in Figure 4.4. The rabbit starts at the position
(0,0) and runs at a constant speed v R along the y-axis. The dog starts chase at
the position (1.0) and runs at a constant speed v D so that its line of sight is
always directed at the rabbit. If v D>vR, the dog will catch the rabbit; otherwise the
rabbit gets away. Finding the function representing the pursuit curve gives the
path the dog follows. Since the dog always runs directly at the rabbit during the
pursuit, the slope of the line of sight between the dog and the rabbit at any time t
is given by
m=

y − yR
x − xR

=

y− yR
x

If we assume that the line of sight is tangent to the pursuit curve y=f(x),

then m=

dy
dy y − y R
and therefore
=
dx
dx
x

(4.21)

is the mathematical model of the “Pursuit Problem”. The solution of (4.21)
will give the path taken by the dog.

Mais conteúdo relacionado

Mais procurados

ORDINARY DIFFERENTIAL EQUATION
ORDINARY DIFFERENTIAL EQUATION ORDINARY DIFFERENTIAL EQUATION
ORDINARY DIFFERENTIAL EQUATION LANKESH S S
 
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJAPPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJZuhair Bin Jawaid
 
Application of differential equation in ETE
Application of differential equation in ETEApplication of differential equation in ETE
Application of differential equation in ETELimon Prince
 
Linear differential equation with constant coefficient
Linear differential equation with constant coefficientLinear differential equation with constant coefficient
Linear differential equation with constant coefficientSanjay Singh
 
Ordinary differential equation
Ordinary differential equationOrdinary differential equation
Ordinary differential equationJUGAL BORAH
 
Partial Differentiation & Application
Partial Differentiation & Application Partial Differentiation & Application
Partial Differentiation & Application Yana Qlah
 
first order ode with its application
 first order ode with its application first order ode with its application
first order ode with its applicationKrishna Peshivadiya
 
1st order differential equations
1st order differential equations1st order differential equations
1st order differential equationsNisarg Amin
 
Applications of differential equation
Applications of differential equationApplications of differential equation
Applications of differential equationDeekshaSrivas
 
Applications of differential equations
Applications of differential equationsApplications of differential equations
Applications of differential equationsSohag Babu
 
applications of first order non linear partial differential equation
applications of first order non linear partial differential equationapplications of first order non linear partial differential equation
applications of first order non linear partial differential equationDhananjaysinh Jhala
 
Second order homogeneous linear differential equations
Second order homogeneous linear differential equations Second order homogeneous linear differential equations
Second order homogeneous linear differential equations Viraj Patel
 
APPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONAPPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONDhrupal Patel
 
Euler and improved euler method
Euler and improved euler methodEuler and improved euler method
Euler and improved euler methodSohaib Butt
 
Runge-Kutta methods with examples
Runge-Kutta methods with examplesRunge-Kutta methods with examples
Runge-Kutta methods with examplesSajjad Hossain
 
Applications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First DegreeApplications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First DegreeDheirya Joshi
 

Mais procurados (20)

ORDINARY DIFFERENTIAL EQUATION
ORDINARY DIFFERENTIAL EQUATION ORDINARY DIFFERENTIAL EQUATION
ORDINARY DIFFERENTIAL EQUATION
 
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJAPPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
 
Application of differential equation in ETE
Application of differential equation in ETEApplication of differential equation in ETE
Application of differential equation in ETE
 
Linear differential equation with constant coefficient
Linear differential equation with constant coefficientLinear differential equation with constant coefficient
Linear differential equation with constant coefficient
 
Ordinary differential equation
Ordinary differential equationOrdinary differential equation
Ordinary differential equation
 
Partial Differentiation & Application
Partial Differentiation & Application Partial Differentiation & Application
Partial Differentiation & Application
 
first order ode with its application
 first order ode with its application first order ode with its application
first order ode with its application
 
1st order differential equations
1st order differential equations1st order differential equations
1st order differential equations
 
Applications of differential equation
Applications of differential equationApplications of differential equation
Applications of differential equation
 
Differential equations
Differential equationsDifferential equations
Differential equations
 
Applications of differential equations
Applications of differential equationsApplications of differential equations
Applications of differential equations
 
Fourier series
Fourier seriesFourier series
Fourier series
 
Ordinary differential equation
Ordinary differential equationOrdinary differential equation
Ordinary differential equation
 
applications of first order non linear partial differential equation
applications of first order non linear partial differential equationapplications of first order non linear partial differential equation
applications of first order non linear partial differential equation
 
Second order homogeneous linear differential equations
Second order homogeneous linear differential equations Second order homogeneous linear differential equations
Second order homogeneous linear differential equations
 
APPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONAPPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATION
 
Euler and improved euler method
Euler and improved euler methodEuler and improved euler method
Euler and improved euler method
 
Runge-Kutta methods with examples
Runge-Kutta methods with examplesRunge-Kutta methods with examples
Runge-Kutta methods with examples
 
Applications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First DegreeApplications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First Degree
 
Inverse laplace transforms
Inverse laplace transformsInverse laplace transforms
Inverse laplace transforms
 

Destaque

Application of Differential Equation
Application of Differential EquationApplication of Differential Equation
Application of Differential EquationTanzila Islam
 
Ode powerpoint presentation1
Ode powerpoint presentation1Ode powerpoint presentation1
Ode powerpoint presentation1Pokkarn Narkhede
 
02 first order differential equations
02 first order differential equations02 first order differential equations
02 first order differential equationsvansi007
 
Ordinary differential equations
Ordinary differential equationsOrdinary differential equations
Ordinary differential equationsAhmed Haider
 
application of differential equation and multiple integral
application of differential equation and multiple integralapplication of differential equation and multiple integral
application of differential equation and multiple integraldivya gupta
 
partial diffrentialequations
partial diffrentialequationspartial diffrentialequations
partial diffrentialequations8laddu8
 
application of first order ordinary Differential equations
application of first order ordinary Differential equationsapplication of first order ordinary Differential equations
application of first order ordinary Differential equationsEmdadul Haque Milon
 
Differential Equation by MHM
Differential Equation by MHMDifferential Equation by MHM
Differential Equation by MHMMd Mosharof Hosen
 
Lesson 21: Partial Derivatives in Economics
Lesson 21: Partial Derivatives in EconomicsLesson 21: Partial Derivatives in Economics
Lesson 21: Partial Derivatives in EconomicsMatthew Leingang
 
application of partial differentiation
application of partial differentiationapplication of partial differentiation
application of partial differentiationeteaching
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equationsaman1894
 
Tabla evaluación de recursos web 2.0 ana cecilia balanta
Tabla evaluación de recursos web 2.0   ana cecilia balantaTabla evaluación de recursos web 2.0   ana cecilia balanta
Tabla evaluación de recursos web 2.0 ana cecilia balantaAna Cecilia Balanta
 
Planificador de proyectos -completo
 Planificador de proyectos -completo  Planificador de proyectos -completo
Planificador de proyectos -completo Ana Cecilia Balanta
 
Application of 1st Order ODE
Application of 1st Order ODEApplication of 1st Order ODE
Application of 1st Order ODEAbir Junayed
 

Destaque (16)

Application of Differential Equation
Application of Differential EquationApplication of Differential Equation
Application of Differential Equation
 
Ode powerpoint presentation1
Ode powerpoint presentation1Ode powerpoint presentation1
Ode powerpoint presentation1
 
02 first order differential equations
02 first order differential equations02 first order differential equations
02 first order differential equations
 
Ordinary differential equations
Ordinary differential equationsOrdinary differential equations
Ordinary differential equations
 
application of differential equation and multiple integral
application of differential equation and multiple integralapplication of differential equation and multiple integral
application of differential equation and multiple integral
 
Differential equations
Differential equationsDifferential equations
Differential equations
 
partial diffrentialequations
partial diffrentialequationspartial diffrentialequations
partial diffrentialequations
 
application of first order ordinary Differential equations
application of first order ordinary Differential equationsapplication of first order ordinary Differential equations
application of first order ordinary Differential equations
 
Differential Equation by MHM
Differential Equation by MHMDifferential Equation by MHM
Differential Equation by MHM
 
Partial
Partial Partial
Partial
 
Lesson 21: Partial Derivatives in Economics
Lesson 21: Partial Derivatives in EconomicsLesson 21: Partial Derivatives in Economics
Lesson 21: Partial Derivatives in Economics
 
application of partial differentiation
application of partial differentiationapplication of partial differentiation
application of partial differentiation
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equations
 
Tabla evaluación de recursos web 2.0 ana cecilia balanta
Tabla evaluación de recursos web 2.0   ana cecilia balantaTabla evaluación de recursos web 2.0   ana cecilia balanta
Tabla evaluación de recursos web 2.0 ana cecilia balanta
 
Planificador de proyectos -completo
 Planificador de proyectos -completo  Planificador de proyectos -completo
Planificador de proyectos -completo
 
Application of 1st Order ODE
Application of 1st Order ODEApplication of 1st Order ODE
Application of 1st Order ODE
 

Semelhante a Applications of differential equations by shahzad

Differential equations final -mams
Differential equations final -mamsDifferential equations final -mams
Differential equations final -mamsarmanimams
 
Ss important questions
Ss important questionsSs important questions
Ss important questionsSowji Laddu
 
Thermal diffusivity
Thermal diffusivityThermal diffusivity
Thermal diffusivityKushaji
 
A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.Ilya Gikhman
 
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3SEENET-MTP
 
Signal and Systems part i
Signal and Systems part iSignal and Systems part i
Signal and Systems part iPatrickMumba7
 
8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf
8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf
8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdfTsegaTeklewold1
 
Fixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic AnalysisFixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic Analysisiosrjce
 
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONSAPPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONSAYESHA JAVED
 
Spectral Continuity: (p, r) - Α P And (p, k) - Q
Spectral Continuity: (p, r) - Α P And (p, k) - QSpectral Continuity: (p, r) - Α P And (p, k) - Q
Spectral Continuity: (p, r) - Α P And (p, k) - QIOSR Journals
 
punnu-nd-comPresentation2.pptx
punnu-nd-comPresentation2.pptxpunnu-nd-comPresentation2.pptx
punnu-nd-comPresentation2.pptxSharmilaJayanthi1
 
Statistica theromodynamics
Statistica theromodynamicsStatistica theromodynamics
Statistica theromodynamicsRaguM6
 

Semelhante a Applications of differential equations by shahzad (20)

Differential equations final -mams
Differential equations final -mamsDifferential equations final -mams
Differential equations final -mams
 
Chapitre1
Chapitre1Chapitre1
Chapitre1
 
Ss important questions
Ss important questionsSs important questions
Ss important questions
 
maa_talk
maa_talkmaa_talk
maa_talk
 
Linear response theory
Linear response theoryLinear response theory
Linear response theory
 
Thermal diffusivity
Thermal diffusivityThermal diffusivity
Thermal diffusivity
 
lecture3_2.pdf
lecture3_2.pdflecture3_2.pdf
lecture3_2.pdf
 
The wave equation
The wave equationThe wave equation
The wave equation
 
A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.A short remark on Feller’s square root condition.
A short remark on Feller’s square root condition.
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
 
unit 4,5 (1).docx
unit 4,5 (1).docxunit 4,5 (1).docx
unit 4,5 (1).docx
 
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
 
Signal and Systems part i
Signal and Systems part iSignal and Systems part i
Signal and Systems part i
 
8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf
8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf
8fbf4451c622e6efbcf7452222d21ea5_MITRES_6_007S11_hw02.pdf
 
Fixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic AnalysisFixed Point Theorm In Probabilistic Analysis
Fixed Point Theorm In Probabilistic Analysis
 
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONSAPPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
 
Spectral Continuity: (p, r) - Α P And (p, k) - Q
Spectral Continuity: (p, r) - Α P And (p, k) - QSpectral Continuity: (p, r) - Α P And (p, k) - Q
Spectral Continuity: (p, r) - Α P And (p, k) - Q
 
punnu-nd-comPresentation2.pptx
punnu-nd-comPresentation2.pptxpunnu-nd-comPresentation2.pptx
punnu-nd-comPresentation2.pptx
 
Statistica theromodynamics
Statistica theromodynamicsStatistica theromodynamics
Statistica theromodynamics
 

Mais de biotech energy pvt limited

Mais de biotech energy pvt limited (6)

Intercultural communication
Intercultural communicationIntercultural communication
Intercultural communication
 
Green buildings
Green buildingsGreen buildings
Green buildings
 
newtonian and non newtonian behaviour of fluids
newtonian and non newtonian behaviour of fluidsnewtonian and non newtonian behaviour of fluids
newtonian and non newtonian behaviour of fluids
 
Production of Acrylonitrile from the ammoxidation of propylene
Production of Acrylonitrile from the ammoxidation of propyleneProduction of Acrylonitrile from the ammoxidation of propylene
Production of Acrylonitrile from the ammoxidation of propylene
 
Supply and demandd
Supply and demanddSupply and demandd
Supply and demandd
 
Chemical kinetics
Chemical kineticsChemical kinetics
Chemical kinetics
 

Último

Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
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
 
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfAn Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfSanaAli374401
 
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
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Disha Kariya
 
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
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...KokoStevan
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 

Último (20)

Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
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
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).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
 
An Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdfAn Overview of Mutual Funds Bcom Project.pdf
An Overview of Mutual Funds Bcom Project.pdf
 
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
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
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
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 

Applications of differential equations by shahzad

  • 1. Assignment On:  ApplicAtiOns Of DifferentiAl equAtiOns  euler methOD with exAmples submitteD tO: mAm nAilA hAbib submitteD by: shAhzAD Ali zAhiD rOll #: 2k11-che-49 DAte: August 29, 2013
  • 2. Applications of Differential Equations to Real World System  Cooling/Warming law We have seen in Section 1.4 that the mathematical formulation of Newton’s empirical law of cooling of an object in given by the linear first-order differential equation dT = α(T − Tm ) dt This is a separable differential equation. We have dT = αdt (T − Tm ) or ln|T-Tm |=αt+c1 or T(t) = Tm+c2eαt  Population Growth and Decay We have seen in section that the differential equation dN (t ) = kN (t ) dt where N(t) denotes population at time t and k is a constant of proportionality, serves as a model for population growth and decay of insects, animals and human population at certain places and duration. Solution of this equation is kt N(t)=Ce , where C is the constant of integration:
  • 3. dN (t ) = kdt N (t ) Integrating both sides we get lnN(t)=kt+ln C or ln or N (t ) = kt C N(t)=Cekt C can be determined if N(t) is given at certain time.  Radio-active Decay and Carbon Dating As discussed in Section 1.4.2. a radioactive substance decomposes at a rate proportional to its mass. This rate is called the decay rate. If m(t) represents the mass of a substance at any time, then the decay rate dm is proportional to dt m(t). Let us recall that the half-life of a substance is the amount of time for it to decay to one-half of its initial mass. Carbon Dating: The key to the carbon dating of paintings and other materials such as fossils and rocks lies in the phenomenon of radioactivity discovered at the turn of the century. The physicist Rutherford and his colleagues showed that the atoms of certain radioactive elements are unstable and that within a given time period a fixed portion of the atoms spontaneously disintegrate to form atoms of a new element. Because radioactivity is a property of the atom, Rutherford showed that the radioactivity of a substance is directly proportional to the number of atoms of the substance present. Thus, if N(t) denotes the number of atoms
  • 4. present at time t, then dN , the number of atoms that disintegrate per unit time, is dt proportional to N; that is, dN = − λN dt (4.5)  Series Circuits Let a series circuit contain only a resistor and an inductor. By Kirchhoff’s second  di   and the voltage drop  dt  law the sum of the voltage drop across the inductor Ι across the resistor (iR) is the same as the impressed voltage (E(t)) on the circuit. Current at time t, i(t), is the solution of the differential equation. Ι di + Ri = E (t ) dt (4.10) where Ι and R are constants known as the inductance and the resistance respectively. The voltage drop across a capacitor with capacitance C is given by q( t ) , C where q is the charge on the capacitor. Hence, for the series circuit shown in Figure 4.3 we get the following equation by applying Kirchhoff’s second law Ri + 1 q = E (t ) C Since i = R (4.11) dq , (4.11) can be written as dt dq 1 + q = E( t ) dt C (4.12)
  • 5.  Survivability with AIDS Equation (1.31) provides survival fraction S(t). It is a separable equation and its solution is S(t) =Si+(1-Si)e-kt: Given equation is dS(t ) = − k (S(t ) − Si ) dt dS = −kdt S (t ) − S i Integrating both sides, we get ln|S(t)-Si|=-kt+lnc ln | S( t ) − Si | = −kt c or S( t ) − Si = e −kt c S(t)=Si+ce-kt Let S(0)=1 then c=1-Si. Therefore S(t) =Si +(1-Si)e-kt We can rewrite this equation in the equivalent form. S(t)=Si+(1-Si)e-t/T where, in analogy to radioactive nuclear decay, T is the time required for half of the mortal part of the cohort to die-that is, the survival half life.
  • 6.  Economics and Finance We have presented models of supply, demand and compounding interest in Section 1.4.3. We solve those models, namely equations (1.11) and (1.16). (1.11), that is equation dP = k(D − S) is a separable differential equation of first-order. We can dt write it as dP=k(D-S) dt. Integrating both sides, we get P(t)=k(D-S)t+A where A is a constant of integration. Solution of (1.16), which is also a separable equation, is S(t)=S(0) ert (4.20) where S(0) is the initial money in the account  Drug Distribution (Concentration) in Human Body To combat the infection to human a body appropriate dose of medicine is essential. Because the amount of the drug in the human body decreases with time medicine must be given in multiple doses. The rate at which the level y of the drug in a patient’s blood decays can be modeled by the decay equation dy = −ky dt where k is a constant to be experimentally determined for each drug. If initially, that is, at t=0 a patient is given an initial dose y p, then the drug level y at any time t is the solution of the above differential equations, that is,
  • 7. y(t)=yp e-kt  A Pursuit Problem A dog chasing a rabbit is shown in Figure 4.4. The rabbit starts at the position (0,0) and runs at a constant speed v R along the y-axis. The dog starts chase at the position (1.0) and runs at a constant speed v D so that its line of sight is always directed at the rabbit. If v D>vR, the dog will catch the rabbit; otherwise the rabbit gets away. Finding the function representing the pursuit curve gives the path the dog follows. Since the dog always runs directly at the rabbit during the pursuit, the slope of the line of sight between the dog and the rabbit at any time t is given by m= y − yR x − xR = y− yR x If we assume that the line of sight is tangent to the pursuit curve y=f(x), then m= dy dy y − y R and therefore = dx dx x (4.21) is the mathematical model of the “Pursuit Problem”. The solution of (4.21) will give the path taken by the dog.