SlideShare uma empresa Scribd logo
1 de 20
Solving
Exponential and
Logarithmic
Equations
• By the definition of a function, if u = v and f is
a function, then f(u) = f(v) [remember each input of a
function has one and only one output!]
• So, let’s say we have a function f(x) = b?,
then if u = v then bu = bv for all real #s b>0
• Likewise, if we have a function f(x) = logb?,
if u = v then logbu = logbv for all real #s b>0
• And because exponential and logarithmic
functions are one-to-one (i.e. their inverses
are also functions), then the converse is true:
– If bu = bv then u = v
– If logbu = logbv then u = v
Now, let’s use these
statements, (and all the other
properties for exponents and logarithms),
to solve:
Exponential and Logarithmic
equations
Example 1: Powers of the Same Base
Solve 8x = 2x+1
Can you create a common base?
(23)x = 2x+1
23x = 2x+1
3x = x+1
2x = 1
x = ½
Graph Y=8x and Y=2x+1 to confirm
Example 2: Powers of Different Bases
Solve 5x = 2
ln5x = ln2
xln5 = ln2
x = ln2/ln5
x = 0.6931/1.6094
x = 0.4307
Graph Y=5x and Y=2 to confirm
Example 3: Powers of Different Bases
Solve 24x-1 = 31-x
ln(24x-1) = ln(31-x)
(4x-1)ln2 = (1-x)ln3
4xln2 – ln2 = ln3 – xln3
4xln2 + xln3 = ln3 +ln2
x(4ln2 + ln3) = ln3 +ln2
x = (ln3 + ln2)/(4ln2 + ln3)
x = 0.4628
Graph Y=24x-1 and Y= 31-x to confirm
Example 4: Using Substitution
Solve ex – e-x= 4
Multiply each side by ex to eliminate negative exponents
ex(ex – e-x ) = ex(4)
exex – exe-x = ex(4)
e2x - 1 = 4ex
e2x - 4ex - 1 = 0
Let u = ex and substitute
u2 -4u -1 = 0
Now, let’s do the same
thing by solving some real
world applications of
exponential equations
Example 5: Radiocarbon Dating
The half life of carbon-14 is 5730
years. The skeleton of a mastodon has
lost 58% of its original carbon-14.
When did the mastodon die?
What is the half-life formula?
f(x) = P(0.5)x/h (P is initial amount; h is half-life, x is # years)
So, f(x) = P(0.5)x/5730
.42P = P(0.5)x/5730
0.42P = P(0.5)x/5730
0.42 = (0.5)x/5730
ln0.42 = ln(0.5)x/5730
ln0.42 = (x/5730)ln0.5
x = (5730)(ln0.42)/ln0.5
x = 7171.3171
Graph Y=0.42 and Y=(0.5)x/5730 to confirm
Example 6: Compound Interest
If $3000 is to be invested at 8% per
year, compounded quarterly, in how
many years will the investment be
worth $10,680?
What is the compound interest formula?
A = P(1+r)t (A is amount after t periods; P is the principal; r is
interest rate)
So, 10,680 = 3000(1+.08/4)4t
10,680 = 3000(1.02)4t
10,680 = 3000(1.02)4t
3.56 = (1.02)4t
ln3.56 = ln(1.02)4t
ln3.56 = (4t)ln(1.02)
4t = ln3.56/ln1.02
t = (ln3.56/ln1.02)/4
t = 16.03 years
Graph Y=10680 and Y=3000(1.02)t/4 to confirm
Example 7: Population Growth
The population of a certain type of bacteria grows by the
function S(t) = Pert, where P is the initial population and r is a
continuous growth rate. If a biologist has a culture that contains
1000 bacteria, and 7 hours later there are 5000 bacteria:
a. Write the function for this population
b. When will the population reach 1 billion?
a. What does the equation look like when evaluated at t = 7, i.e. when S(7) =
5000?
5000 = 1000er(7)
5 = e7r
ln5 = lne7r
ln5 = 7rlne (lne = 1)
ln5 = 7r
r = 0.2299
So the function for this population is S(t) = 1000e0.2299t
b. When will the population reach 1
billion?
b. S(t) = 1000e0.2299t
1000e0.2299t = 1,000,000,000
e0.2299t = 1,000,000
lne0.2299t = ln1,000,000
0.2299t lne = ln1,000,000 (lne =1)
t = ln1,000,000/0.2299
t = 60.0936 hours
Graph Y=1000e0.2299t and Y=1 billion to confirm
Ex 8: Inhibited Population Growth
A population of fish in a lake at time t months is given by:
F(t)=20,000/(1+24e-t/4)
How long will it take for the population to reach 15,000?
15000 = 20000/(1+24e-t/4)
15000(1+24e-t/4) = 20000
1+24e-t/4 = 20000/15000
24e-t/4 = 4/3 - 1
e-t/4 = (1/3)(1/24)
lne-t/4 = ln (1/72)
(-t/4)lne = ln1 - ln72
-t/4 = 0 – ln72 (lne=1, ln1=0)
t = 4ln72 = 17.1067
Graph Y=15000 and Y=20000/(1+24e-t/4) to confirm
Now, let’s solve some
logarithmic equations
using the properties of
one-to-one functions
to help
Example 10: Equations with Logarithmic
and Constant Terms
Solve ln(x – 3) = 5 - ln(x – 3)
First put all log terms on one side of equal sign &
constants on the other
ln(x – 3)+ ln(x – 3)= 5
2ln(x - 3) = 5
ln(x -3) = 5/2
e ln(x -3) = e5/2
x -3 = e5/2
x = e5/2 +3 = 15.1825
Graph Y= ln(x-3) and Y= 5 – ln(x-3) to confirm
Example 11: Equations with Logarithmic
and Constant Terms
Solve log(x – 16) = 2 - log(x – 1)
log(x – 16)+ log(x – 1) = 2
log[(x-16)(x-1)] = 2
log(x2 -17x +16) = 2
10 log(x2 -17x +16) = 102
x2 -17x +16 = 100
x2 -17x – 84 = 0
(x +4)(x – 21) = 0
x = -4 and 21, but log(x-16) and log(x-1) are not
defined for x = -4, so only x = 21 is valid
Graph Y= log(x-16) and Y= 2 – log(x-1) to confirm

Mais conteúdo relacionado

Mais procurados

Lecture 10 section 4.1 and 4.2 exponential functions
Lecture 10   section 4.1 and 4.2  exponential functionsLecture 10   section 4.1 and 4.2  exponential functions
Lecture 10 section 4.1 and 4.2 exponential functions
njit-ronbrown
 
Lecture 10 section 4.1 and 4.2 exponential functions
Lecture 10   section 4.1 and 4.2  exponential functionsLecture 10   section 4.1 and 4.2  exponential functions
Lecture 10 section 4.1 and 4.2 exponential functions
njit-ronbrown
 
Quadratic Function by Robert & Phillip
Quadratic Function by Robert & PhillipQuadratic Function by Robert & Phillip
Quadratic Function by Robert & Phillip
Hope Scott
 
3.1 derivative of a function
3.1 derivative of a function3.1 derivative of a function
3.1 derivative of a function
btmathematics
 
Lesson 3 Nov 16 09
Lesson 3 Nov 16 09Lesson 3 Nov 16 09
Lesson 3 Nov 16 09
ingroy
 
Summary of Integration Methods
Summary of Integration MethodsSummary of Integration Methods
Summary of Integration Methods
Silvius
 

Mais procurados (19)

Lecture 10 section 4.1 and 4.2 exponential functions
Lecture 10   section 4.1 and 4.2  exponential functionsLecture 10   section 4.1 and 4.2  exponential functions
Lecture 10 section 4.1 and 4.2 exponential functions
 
Lecture 10 section 4.1 and 4.2 exponential functions
Lecture 10   section 4.1 and 4.2  exponential functionsLecture 10   section 4.1 and 4.2  exponential functions
Lecture 10 section 4.1 and 4.2 exponential functions
 
Quadratic Function by Robert & Phillip
Quadratic Function by Robert & PhillipQuadratic Function by Robert & Phillip
Quadratic Function by Robert & Phillip
 
4.4 Set operations on relations
4.4 Set operations on relations4.4 Set operations on relations
4.4 Set operations on relations
 
3.2 Derivative as a Function
3.2 Derivative as a Function3.2 Derivative as a Function
3.2 Derivative as a Function
 
Quadratic Function by Taylor & Asia
Quadratic Function by Taylor & Asia Quadratic Function by Taylor & Asia
Quadratic Function by Taylor & Asia
 
Functions 1 - Math Academy - JC H2 maths A levels
Functions 1 - Math Academy - JC H2 maths A levelsFunctions 1 - Math Academy - JC H2 maths A levels
Functions 1 - Math Academy - JC H2 maths A levels
 
3.1 2
3.1 23.1 2
3.1 2
 
3.1 derivative of a function
3.1 derivative of a function3.1 derivative of a function
3.1 derivative of a function
 
Lecture 4 the limit of a function
Lecture 4   the limit of a functionLecture 4   the limit of a function
Lecture 4 the limit of a function
 
application of partial differentiation
application of partial differentiationapplication of partial differentiation
application of partial differentiation
 
Lecture 6 limits with infinity
Lecture 6   limits with infinityLecture 6   limits with infinity
Lecture 6 limits with infinity
 
2.hyperbolic functions Further Mathematics Zimbabwe Zimsec Cambridge
2.hyperbolic functions  Further Mathematics Zimbabwe Zimsec Cambridge2.hyperbolic functions  Further Mathematics Zimbabwe Zimsec Cambridge
2.hyperbolic functions Further Mathematics Zimbabwe Zimsec Cambridge
 
Continuity
ContinuityContinuity
Continuity
 
HYPERBOLIC FUNCTION
HYPERBOLIC FUNCTIONHYPERBOLIC FUNCTION
HYPERBOLIC FUNCTION
 
Lesson 3 Nov 16 09
Lesson 3 Nov 16 09Lesson 3 Nov 16 09
Lesson 3 Nov 16 09
 
Continuity and differentiability
Continuity and differentiability Continuity and differentiability
Continuity and differentiability
 
Summary of Integration Methods
Summary of Integration MethodsSummary of Integration Methods
Summary of Integration Methods
 
Paso 5-Realizar transferencia del conocimiento.
Paso 5-Realizar transferencia del conocimiento.Paso 5-Realizar transferencia del conocimiento.
Paso 5-Realizar transferencia del conocimiento.
 

Destaque (20)

Lecture 12 sections 4.5 logarithmic equations
Lecture 12   sections 4.5  logarithmic equationsLecture 12   sections 4.5  logarithmic equations
Lecture 12 sections 4.5 logarithmic equations
 
Facebook demographics power point
Facebook demographics power pointFacebook demographics power point
Facebook demographics power point
 
My powerpoint
My powerpointMy powerpoint
My powerpoint
 
Creacion de indices y constraints en base de datos de sql server
Creacion de indices y constraints en base de datos de sql serverCreacion de indices y constraints en base de datos de sql server
Creacion de indices y constraints en base de datos de sql server
 
Hprec9 2
Hprec9 2Hprec9 2
Hprec9 2
 
Hprec7.1
Hprec7.1Hprec7.1
Hprec7.1
 
3.2
3.23.2
3.2
 
Hprec8 2
Hprec8 2Hprec8 2
Hprec8 2
 
Hailu et al 2015 Journal
Hailu et al 2015 JournalHailu et al 2015 Journal
Hailu et al 2015 Journal
 
Hat04 0203
Hat04 0203Hat04 0203
Hat04 0203
 
Hprec2 4
Hprec2 4Hprec2 4
Hprec2 4
 
Hprec9 3
Hprec9 3Hprec9 3
Hprec9 3
 
Hprec6 1
Hprec6 1Hprec6 1
Hprec6 1
 
Hprec5.2
Hprec5.2Hprec5.2
Hprec5.2
 
Alfatika Journal N070102
Alfatika Journal N070102Alfatika Journal N070102
Alfatika Journal N070102
 
Hprec2 5
Hprec2 5Hprec2 5
Hprec2 5
 
Hprec6 4
Hprec6 4Hprec6 4
Hprec6 4
 
Phytase-Producing Bacteria from Extreme Regions in Indonesia
Phytase-Producing Bacteria from Extreme Regions in IndonesiaPhytase-Producing Bacteria from Extreme Regions in Indonesia
Phytase-Producing Bacteria from Extreme Regions in Indonesia
 
Hat04 0205
Hat04 0205Hat04 0205
Hat04 0205
 
Hprec8 3
Hprec8 3Hprec8 3
Hprec8 3
 

Semelhante a 5.6 solving exponential and logarithmic equations

Dominación y extensiones óptimas de operadores con rango esencial compacto en...
Dominación y extensiones óptimas de operadores con rango esencial compacto en...Dominación y extensiones óptimas de operadores con rango esencial compacto en...
Dominación y extensiones óptimas de operadores con rango esencial compacto en...
esasancpe
 
PaperNo18-habibiIMF9-12-2013-IMF
PaperNo18-habibiIMF9-12-2013-IMFPaperNo18-habibiIMF9-12-2013-IMF
PaperNo18-habibiIMF9-12-2013-IMF
Mezban Habibi
 

Semelhante a 5.6 solving exponential and logarithmic equations (20)

Dominación y extensiones óptimas de operadores con rango esencial compacto en...
Dominación y extensiones óptimas de operadores con rango esencial compacto en...Dominación y extensiones óptimas de operadores con rango esencial compacto en...
Dominación y extensiones óptimas de operadores con rango esencial compacto en...
 
On the Application of a Classical Fixed Point Method in the Optimization of a...
On the Application of a Classical Fixed Point Method in the Optimization of a...On the Application of a Classical Fixed Point Method in the Optimization of a...
On the Application of a Classical Fixed Point Method in the Optimization of a...
 
05_AJMS_300_21.pdf
05_AJMS_300_21.pdf05_AJMS_300_21.pdf
05_AJMS_300_21.pdf
 
Probability cheatsheet
Probability cheatsheetProbability cheatsheet
Probability cheatsheet
 
Fluid Mechanics Exercises
Fluid Mechanics ExercisesFluid Mechanics Exercises
Fluid Mechanics Exercises
 
02_AJMS_168_19_RA.pdf
02_AJMS_168_19_RA.pdf02_AJMS_168_19_RA.pdf
02_AJMS_168_19_RA.pdf
 
02_AJMS_168_19_RA.pdf
02_AJMS_168_19_RA.pdf02_AJMS_168_19_RA.pdf
02_AJMS_168_19_RA.pdf
 
project
projectproject
project
 
On the k-Riemann-Liouville fractional integral and applications
On the k-Riemann-Liouville fractional integral and applications On the k-Riemann-Liouville fractional integral and applications
On the k-Riemann-Liouville fractional integral and applications
 
Existence of Extremal Solutions of Second Order Initial Value Problems
Existence of Extremal Solutions of Second Order Initial Value ProblemsExistence of Extremal Solutions of Second Order Initial Value Problems
Existence of Extremal Solutions of Second Order Initial Value Problems
 
logarithmic, exponential, trigonometric functions and their graphs.ppt
logarithmic, exponential, trigonometric functions and their graphs.pptlogarithmic, exponential, trigonometric functions and their graphs.ppt
logarithmic, exponential, trigonometric functions and their graphs.ppt
 
Senior Research
Senior ResearchSenior Research
Senior Research
 
PaperNo18-habibiIMF9-12-2013-IMF
PaperNo18-habibiIMF9-12-2013-IMFPaperNo18-habibiIMF9-12-2013-IMF
PaperNo18-habibiIMF9-12-2013-IMF
 
Probability Cheatsheet.pdf
Probability Cheatsheet.pdfProbability Cheatsheet.pdf
Probability Cheatsheet.pdf
 
Mit2 092 f09_lec07
Mit2 092 f09_lec07Mit2 092 f09_lec07
Mit2 092 f09_lec07
 
Matlab II
Matlab IIMatlab II
Matlab II
 
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
 
Chemistry Assignment Help
Chemistry Assignment Help Chemistry Assignment Help
Chemistry Assignment Help
 
Week 6
Week 6Week 6
Week 6
 
Inverse-Trigonometric-Functions.pdf
Inverse-Trigonometric-Functions.pdfInverse-Trigonometric-Functions.pdf
Inverse-Trigonometric-Functions.pdf
 

Mais de stevenhbills (17)

Hprec2 2
Hprec2 2Hprec2 2
Hprec2 2
 
3.1
3.13.1
3.1
 
Hprec3 7
Hprec3 7Hprec3 7
Hprec3 7
 
Hprec5.3
Hprec5.3Hprec5.3
Hprec5.3
 
Hprec5 4
Hprec5 4Hprec5 4
Hprec5 4
 
Hprec5 5
Hprec5 5Hprec5 5
Hprec5 5
 
Hprec6 2
Hprec6 2Hprec6 2
Hprec6 2
 
Hprec6 3
Hprec6 3Hprec6 3
Hprec6 3
 
Hprec6 5
Hprec6 5Hprec6 5
Hprec6 5
 
Hprec7 4
Hprec7 4Hprec7 4
Hprec7 4
 
Hprec7.3
Hprec7.3Hprec7.3
Hprec7.3
 
Hprec8 1
Hprec8 1Hprec8 1
Hprec8 1
 
Hprec8 4
Hprec8 4Hprec8 4
Hprec8 4
 
Hprec5.1
Hprec5.1Hprec5.1
Hprec5.1
 
Hprec10 1
Hprec10 1Hprec10 1
Hprec10 1
 
Hprec10 2
Hprec10 2Hprec10 2
Hprec10 2
 
Hprec2 1
Hprec2 1Hprec2 1
Hprec2 1
 

Último

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 

5.6 solving exponential and logarithmic equations

  • 2. • By the definition of a function, if u = v and f is a function, then f(u) = f(v) [remember each input of a function has one and only one output!] • So, let’s say we have a function f(x) = b?, then if u = v then bu = bv for all real #s b>0 • Likewise, if we have a function f(x) = logb?, if u = v then logbu = logbv for all real #s b>0 • And because exponential and logarithmic functions are one-to-one (i.e. their inverses are also functions), then the converse is true: – If bu = bv then u = v – If logbu = logbv then u = v
  • 3. Now, let’s use these statements, (and all the other properties for exponents and logarithms), to solve: Exponential and Logarithmic equations
  • 4. Example 1: Powers of the Same Base Solve 8x = 2x+1 Can you create a common base? (23)x = 2x+1 23x = 2x+1 3x = x+1 2x = 1 x = ½ Graph Y=8x and Y=2x+1 to confirm
  • 5. Example 2: Powers of Different Bases Solve 5x = 2 ln5x = ln2 xln5 = ln2 x = ln2/ln5 x = 0.6931/1.6094 x = 0.4307 Graph Y=5x and Y=2 to confirm
  • 6. Example 3: Powers of Different Bases Solve 24x-1 = 31-x ln(24x-1) = ln(31-x) (4x-1)ln2 = (1-x)ln3 4xln2 – ln2 = ln3 – xln3 4xln2 + xln3 = ln3 +ln2 x(4ln2 + ln3) = ln3 +ln2 x = (ln3 + ln2)/(4ln2 + ln3) x = 0.4628 Graph Y=24x-1 and Y= 31-x to confirm
  • 7. Example 4: Using Substitution Solve ex – e-x= 4 Multiply each side by ex to eliminate negative exponents ex(ex – e-x ) = ex(4) exex – exe-x = ex(4) e2x - 1 = 4ex e2x - 4ex - 1 = 0 Let u = ex and substitute u2 -4u -1 = 0
  • 8.
  • 9. Now, let’s do the same thing by solving some real world applications of exponential equations
  • 10. Example 5: Radiocarbon Dating The half life of carbon-14 is 5730 years. The skeleton of a mastodon has lost 58% of its original carbon-14. When did the mastodon die? What is the half-life formula? f(x) = P(0.5)x/h (P is initial amount; h is half-life, x is # years) So, f(x) = P(0.5)x/5730 .42P = P(0.5)x/5730
  • 11. 0.42P = P(0.5)x/5730 0.42 = (0.5)x/5730 ln0.42 = ln(0.5)x/5730 ln0.42 = (x/5730)ln0.5 x = (5730)(ln0.42)/ln0.5 x = 7171.3171 Graph Y=0.42 and Y=(0.5)x/5730 to confirm
  • 12. Example 6: Compound Interest If $3000 is to be invested at 8% per year, compounded quarterly, in how many years will the investment be worth $10,680? What is the compound interest formula? A = P(1+r)t (A is amount after t periods; P is the principal; r is interest rate) So, 10,680 = 3000(1+.08/4)4t 10,680 = 3000(1.02)4t
  • 13. 10,680 = 3000(1.02)4t 3.56 = (1.02)4t ln3.56 = ln(1.02)4t ln3.56 = (4t)ln(1.02) 4t = ln3.56/ln1.02 t = (ln3.56/ln1.02)/4 t = 16.03 years Graph Y=10680 and Y=3000(1.02)t/4 to confirm
  • 14. Example 7: Population Growth The population of a certain type of bacteria grows by the function S(t) = Pert, where P is the initial population and r is a continuous growth rate. If a biologist has a culture that contains 1000 bacteria, and 7 hours later there are 5000 bacteria: a. Write the function for this population b. When will the population reach 1 billion? a. What does the equation look like when evaluated at t = 7, i.e. when S(7) = 5000? 5000 = 1000er(7) 5 = e7r ln5 = lne7r ln5 = 7rlne (lne = 1) ln5 = 7r r = 0.2299 So the function for this population is S(t) = 1000e0.2299t
  • 15. b. When will the population reach 1 billion? b. S(t) = 1000e0.2299t 1000e0.2299t = 1,000,000,000 e0.2299t = 1,000,000 lne0.2299t = ln1,000,000 0.2299t lne = ln1,000,000 (lne =1) t = ln1,000,000/0.2299 t = 60.0936 hours Graph Y=1000e0.2299t and Y=1 billion to confirm
  • 16. Ex 8: Inhibited Population Growth A population of fish in a lake at time t months is given by: F(t)=20,000/(1+24e-t/4) How long will it take for the population to reach 15,000? 15000 = 20000/(1+24e-t/4) 15000(1+24e-t/4) = 20000 1+24e-t/4 = 20000/15000 24e-t/4 = 4/3 - 1 e-t/4 = (1/3)(1/24) lne-t/4 = ln (1/72) (-t/4)lne = ln1 - ln72 -t/4 = 0 – ln72 (lne=1, ln1=0) t = 4ln72 = 17.1067 Graph Y=15000 and Y=20000/(1+24e-t/4) to confirm
  • 17. Now, let’s solve some logarithmic equations using the properties of one-to-one functions to help
  • 18.
  • 19. Example 10: Equations with Logarithmic and Constant Terms Solve ln(x – 3) = 5 - ln(x – 3) First put all log terms on one side of equal sign & constants on the other ln(x – 3)+ ln(x – 3)= 5 2ln(x - 3) = 5 ln(x -3) = 5/2 e ln(x -3) = e5/2 x -3 = e5/2 x = e5/2 +3 = 15.1825 Graph Y= ln(x-3) and Y= 5 – ln(x-3) to confirm
  • 20. Example 11: Equations with Logarithmic and Constant Terms Solve log(x – 16) = 2 - log(x – 1) log(x – 16)+ log(x – 1) = 2 log[(x-16)(x-1)] = 2 log(x2 -17x +16) = 2 10 log(x2 -17x +16) = 102 x2 -17x +16 = 100 x2 -17x – 84 = 0 (x +4)(x – 21) = 0 x = -4 and 21, but log(x-16) and log(x-1) are not defined for x = -4, so only x = 21 is valid Graph Y= log(x-16) and Y= 2 – log(x-1) to confirm