Lesson 15: Exponential Growth and Decay (slides)

88
. . SecƟon 3.4 ExponenƟal Growth and Decay V63.0121.011: Calculus I Professor MaƩhew Leingang New York University March 23, 2011

description

Many problems in nature are expressible in terms of a certain differential equation that has a solution in terms of exponential functions. We look at the equation in general and some fun applications, including radioactivity, cooling, and interest.

Transcript of Lesson 15: Exponential Growth and Decay (slides)

Page 1: Lesson 15: Exponential Growth and Decay (slides)

..

Sec on 3.4Exponen al Growth and Decay

V63.0121.011: Calculus IProfessor Ma hew Leingang

New York University

March 23, 2011

Page 2: Lesson 15: Exponential Growth and Decay (slides)

Announcements

I Quiz 3 next week inrecita on on 2.6, 2.8, 3.1,3.2

Page 3: Lesson 15: Exponential Growth and Decay (slides)

Objectives

I Solve the ordinarydifferen al equa ony′(t) = ky(t), y(0) = y0

I Solve problems involvingexponen al growth anddecay

Page 4: Lesson 15: Exponential Growth and Decay (slides)

OutlineRecall

The differen al equa on y′ = ky

Modeling simple popula on growth

Modeling radioac ve decayCarbon-14 Da ng

Newton’s Law of Cooling

Con nuously Compounded Interest

Page 5: Lesson 15: Exponential Growth and Decay (slides)

Derivatives of exponential andlogarithmic functions

y y′

ex ex

ax (ln a) · ax

ln x1x

loga x1ln a

· 1x

Page 6: Lesson 15: Exponential Growth and Decay (slides)

OutlineRecall

The differen al equa on y′ = ky

Modeling simple popula on growth

Modeling radioac ve decayCarbon-14 Da ng

Newton’s Law of Cooling

Con nuously Compounded Interest

Page 7: Lesson 15: Exponential Growth and Decay (slides)

What is a differential equation?Defini onA differen al equa on is an equa on for an unknown func onwhich includes the func on and its deriva ves.

Example

I Newton’s Second Law F = ma is a differen al equa on, wherea(t) = x′′(t).

I In a spring, F(x) = −kx, where x is displacement fromequilibrium and k is a constant. So

−kx(t) = mx′′(t) =⇒ x′′(t) +kmx(t) = 0.

Page 8: Lesson 15: Exponential Growth and Decay (slides)

What is a differential equation?Defini onA differen al equa on is an equa on for an unknown func onwhich includes the func on and its deriva ves.

Example

I Newton’s Second Law F = ma is a differen al equa on, wherea(t) = x′′(t).

I In a spring, F(x) = −kx, where x is displacement fromequilibrium and k is a constant. So

−kx(t) = mx′′(t) =⇒ x′′(t) +kmx(t) = 0.

Page 9: Lesson 15: Exponential Growth and Decay (slides)

What is a differential equation?Defini onA differen al equa on is an equa on for an unknown func onwhich includes the func on and its deriva ves.

Example

I Newton’s Second Law F = ma is a differen al equa on, wherea(t) = x′′(t).

I In a spring, F(x) = −kx, where x is displacement fromequilibrium and k is a constant. So

−kx(t) = mx′′(t) =⇒ x′′(t) +kmx(t) = 0.

Page 10: Lesson 15: Exponential Growth and Decay (slides)

Showing a function is a solutionExample (Con nued)

Show that x(t) = A sinωt+ B cosωt sa sfies the differen al

equa on x′′ +kmx = 0, where ω =

√k/m.

Solu onWe have

x(t) = A sinωt+ B cosωtx′(t) = Aω cosωt− Bω sinωtx′′(t) = −Aω2 sinωt− Bω2 cosωt

Page 11: Lesson 15: Exponential Growth and Decay (slides)

Showing a function is a solutionExample (Con nued)

Show that x(t) = A sinωt+ B cosωt sa sfies the differen al

equa on x′′ +kmx = 0, where ω =

√k/m.

Solu onWe have

x(t) = A sinωt+ B cosωtx′(t) = Aω cosωt− Bω sinωtx′′(t) = −Aω2 sinωt− Bω2 cosωt

Page 12: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2Example

I Find a solu on to y′(t) = 2.I Find themost general solu on to y′(t) = 2.

Solu on

I A solu on is y(t) = 2t.I The general solu on is y = 2t+ C.

RemarkIf a func on has a constant rate of growth, it’s linear.

Page 13: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2Example

I Find a solu on to y′(t) = 2.I Find themost general solu on to y′(t) = 2.

Solu on

I A solu on is y(t) = 2t.

I The general solu on is y = 2t+ C.

RemarkIf a func on has a constant rate of growth, it’s linear.

Page 14: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2Example

I Find a solu on to y′(t) = 2.I Find themost general solu on to y′(t) = 2.

Solu on

I A solu on is y(t) = 2t.I The general solu on is y = 2t+ C.

RemarkIf a func on has a constant rate of growth, it’s linear.

Page 15: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2Example

I Find a solu on to y′(t) = 2.I Find themost general solu on to y′(t) = 2.

Solu on

I A solu on is y(t) = 2t.I The general solu on is y = 2t+ C.

RemarkIf a func on has a constant rate of growth, it’s linear.

Page 16: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2tExample

I Find a solu on to y′(t) = 2t.I Find themost general solu on to y′(t) = 2t.

Solu on

I A solu on is y(t) = t2.I The general solu on is y = t2 + C.

Page 17: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2tExample

I Find a solu on to y′(t) = 2t.I Find themost general solu on to y′(t) = 2t.

Solu on

I A solu on is y(t) = t2.

I The general solu on is y = t2 + C.

Page 18: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = 2tExample

I Find a solu on to y′(t) = 2t.I Find themost general solu on to y′(t) = 2t.

Solu on

I A solu on is y(t) = t2.I The general solu on is y = t2 + C.

Page 19: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = yExample

I Find a solu on to y′(t) = y(t).I Find themost general solu on to y′(t) = y(t).

Solu on

I A solu on is y(t) = et.I The general solu on is y = Cet, not y = et + C.

(check this)

Page 20: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = yExample

I Find a solu on to y′(t) = y(t).I Find themost general solu on to y′(t) = y(t).

Solu on

I A solu on is y(t) = et.

I The general solu on is y = Cet, not y = et + C.

(check this)

Page 21: Lesson 15: Exponential Growth and Decay (slides)

The Equation y′ = yExample

I Find a solu on to y′(t) = y(t).I Find themost general solu on to y′(t) = y(t).

Solu on

I A solu on is y(t) = et.I The general solu on is y = Cet, not y = et + C.

(check this)

Page 22: Lesson 15: Exponential Growth and Decay (slides)

Kick it up a notch: y′ = 2yExample

I Find a solu on to y′ = 2y.I Find the general solu on to y′ = 2y.

Solu on

I y = e2t

I y = Ce2t

Page 23: Lesson 15: Exponential Growth and Decay (slides)

Kick it up a notch: y′ = 2yExample

I Find a solu on to y′ = 2y.I Find the general solu on to y′ = 2y.

Solu on

I y = e2t

I y = Ce2t

Page 24: Lesson 15: Exponential Growth and Decay (slides)

In general: y′ = kyExample

I Find a solu on to y′ = ky.I Find the general solu on to y′ = ky.

Solu on

I y = ekt

I y = Cekt

RemarkWhat is C? Plug in t = 0:

y(0) = Cek·0 = C · 1 = C,

so y(0) = y0, the ini al valueof y.

Page 25: Lesson 15: Exponential Growth and Decay (slides)

In general: y′ = kyExample

I Find a solu on to y′ = ky.I Find the general solu on to y′ = ky.

Solu on

I y = ekt

I y = Cekt

RemarkWhat is C? Plug in t = 0:

y(0) = Cek·0 = C · 1 = C,

so y(0) = y0, the ini al valueof y.

Page 26: Lesson 15: Exponential Growth and Decay (slides)

In general: y′ = kyExample

I Find a solu on to y′ = ky.I Find the general solu on to y′ = ky.

Solu on

I y = ekt

I y = Cekt

RemarkWhat is C? Plug in t = 0:

y(0) = Cek·0 = C · 1 = C,

so y(0) = y0, the ini al valueof y.

Page 27: Lesson 15: Exponential Growth and Decay (slides)

Constant Relative Growth =⇒Exponential Growth

TheoremA func on with constant rela ve growth rate k is an exponen alfunc on with parameter k. Explicitly, the solu on to the equa on

y′(t) = ky(t) y(0) = y0

isy(t) = y0ekt

Page 28: Lesson 15: Exponential Growth and Decay (slides)

Exponential Growth is everywhereI Lots of situa ons have growth rates propor onal to the currentvalue

I This is the same as saying the rela ve growth rate is constant.I Examples: Natural popula on growth, compounded interest,social networks

Page 29: Lesson 15: Exponential Growth and Decay (slides)

OutlineRecall

The differen al equa on y′ = ky

Modeling simple popula on growth

Modeling radioac ve decayCarbon-14 Da ng

Newton’s Law of Cooling

Con nuously Compounded Interest

Page 30: Lesson 15: Exponential Growth and Decay (slides)

Bacteria

I Since you need bacteriato make bacteria, theamount of new bacteriaat any moment ispropor onal to the totalamount of bacteria.

I This means bacteriapopula ons growexponen ally.

Page 31: Lesson 15: Exponential Growth and Decay (slides)

Bacteria ExampleExample

A colony of bacteria is grown under ideal condi ons in a laboratory.At the end of 3 hours there are 10,000 bacteria. At the end of 5hours there are 40,000. How many bacteria were present ini ally?

Solu onSince y′ = ky for bacteria, we have y = y0ekt. We have

10, 000 = y0ek·3 40, 000 = y0ek·5

Page 32: Lesson 15: Exponential Growth and Decay (slides)

Bacteria ExampleExample

A colony of bacteria is grown under ideal condi ons in a laboratory.At the end of 3 hours there are 10,000 bacteria. At the end of 5hours there are 40,000. How many bacteria were present ini ally?

Solu onSince y′ = ky for bacteria, we have y = y0ekt. We have

10, 000 = y0ek·3 40, 000 = y0ek·5

Page 33: Lesson 15: Exponential Growth and Decay (slides)

Bacteria Example SolutionSolu on (Con nued)

We have

10, 000 = y0ek·3 40, 000 = y0ek·5

Dividing the first into the second gives

40, 00010, 000

=y0e5k

y0e3k=⇒ 4 = e2k =⇒ ln 4 = ln(e2k) = 2k

=⇒ k =ln 42

=ln 22

2=

2 ln 22

= ln 2

Page 34: Lesson 15: Exponential Growth and Decay (slides)

Solu on (Con nued)

Since y = y0et ln 2, at me t = 3 we have

10, 000 = y0e3 ln 2 = y0 · 8 =⇒ y0 =10, 000

8= 1250

Page 35: Lesson 15: Exponential Growth and Decay (slides)

OutlineRecall

The differen al equa on y′ = ky

Modeling simple popula on growth

Modeling radioac ve decayCarbon-14 Da ng

Newton’s Law of Cooling

Con nuously Compounded Interest

Page 36: Lesson 15: Exponential Growth and Decay (slides)

Modeling radioactive decayRadioac ve decay occurs because many large atoms spontaneouslygive off par cles.

This means that in a sample of abunch of atoms, we can assume acertain percentage of them will “gooff” at any point. (For instance, if allatom of a certain radioac ve elementhave a 20% chance of decaying at anypoint, then we can expect in asample of 100 that 20 of them will bedecaying.)

Page 37: Lesson 15: Exponential Growth and Decay (slides)

Modeling radioactive decayRadioac ve decay occurs because many large atoms spontaneouslygive off par cles.

This means that in a sample of abunch of atoms, we can assume acertain percentage of them will “gooff” at any point. (For instance, if allatom of a certain radioac ve elementhave a 20% chance of decaying at anypoint, then we can expect in asample of 100 that 20 of them will bedecaying.)

Page 38: Lesson 15: Exponential Growth and Decay (slides)

Radioactive decay as a differential equationThe rela ve rate of decay is constant:

y′

y= k

where k is nega ve.

So

y′ = ky =⇒ y = y0ekt

again!It’s customary to express the rela ve rate of decay in the units ofhalf-life: the amount of me it takes a pure sample to decay to onewhich is only half pure.

Page 39: Lesson 15: Exponential Growth and Decay (slides)

Radioactive decay as a differential equationThe rela ve rate of decay is constant:

y′

y= k

where k is nega ve. So

y′ = ky =⇒ y = y0ekt

again!

It’s customary to express the rela ve rate of decay in the units ofhalf-life: the amount of me it takes a pure sample to decay to onewhich is only half pure.

Page 40: Lesson 15: Exponential Growth and Decay (slides)

Radioactive decay as a differential equationThe rela ve rate of decay is constant:

y′

y= k

where k is nega ve. So

y′ = ky =⇒ y = y0ekt

again!It’s customary to express the rela ve rate of decay in the units ofhalf-life: the amount of me it takes a pure sample to decay to onewhich is only half pure.

Page 41: Lesson 15: Exponential Growth and Decay (slides)

Computing the amount remainingExample

The half-life of polonium-210 is about 138 days. How much of a100 g sample remains a er t years?

Solu onWe have y = y0ekt, where y0 = y(0) = 100 grams. Then

50 = 100ek·138/365 =⇒ k = −365 · ln 2138

.

Thereforey(t) = 100e−

365·ln 2138 t = 100 · 2−365t/138

No ce y(t) = y0 · 2−t/t1/2, where t1/2 is the half-life.

Page 42: Lesson 15: Exponential Growth and Decay (slides)

Computing the amount remainingExample

The half-life of polonium-210 is about 138 days. How much of a100 g sample remains a er t years?

Solu onWe have y = y0ekt, where y0 = y(0) = 100 grams. Then

50 = 100ek·138/365 =⇒ k = −365 · ln 2138

.

Thereforey(t) = 100e−

365·ln 2138 t = 100 · 2−365t/138

No ce y(t) = y0 · 2−t/t1/2, where t1/2 is the half-life.

Page 43: Lesson 15: Exponential Growth and Decay (slides)

Computing the amount remainingExample

The half-life of polonium-210 is about 138 days. How much of a100 g sample remains a er t years?

Solu onWe have y = y0ekt, where y0 = y(0) = 100 grams. Then

50 = 100ek·138/365 =⇒ k = −365 · ln 2138

.

Thereforey(t) = 100e−

365·ln 2138 t = 100 · 2−365t/138

No ce y(t) = y0 · 2−t/t1/2, where t1/2 is the half-life.

Page 44: Lesson 15: Exponential Growth and Decay (slides)

Carbon-14 Dating

The ra o of carbon-14 to carbon-12 inan organism decays exponen ally:

p(t) = p0e−kt.

The half-life of carbon-14 is about 5700years. So the equa on for p(t) is

p(t) = p0e−ln25700 t = p02−t/5700

Page 45: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1.

From the equa on we have

2−t/5700 = 0.1

=⇒ − t5700

ln 2 = ln 0.1 =⇒ t =ln 0.1ln 2

· 5700 ≈ 18, 940

So the fossil is almost 19,000 years old.

Page 46: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1.

From the equa on we have

2−t/5700 = 0.1

=⇒ − t5700

ln 2 = ln 0.1 =⇒ t =ln 0.1ln 2

· 5700 ≈ 18, 940

So the fossil is almost 19,000 years old.

Page 47: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1. From the equa on we have

2−t/5700 = 0.1

=⇒ − t5700

ln 2 = ln 0.1 =⇒ t =ln 0.1ln 2

· 5700 ≈ 18, 940

So the fossil is almost 19,000 years old.

Page 48: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1. From the equa on we have

2−t/5700 = 0.1 =⇒ − t5700

ln 2 = ln 0.1

=⇒ t =ln 0.1ln 2

· 5700 ≈ 18, 940

So the fossil is almost 19,000 years old.

Page 49: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1. From the equa on we have

2−t/5700 = 0.1 =⇒ − t5700

ln 2 = ln 0.1 =⇒ t =ln 0.1ln 2

· 5700

≈ 18, 940

So the fossil is almost 19,000 years old.

Page 50: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1. From the equa on we have

2−t/5700 = 0.1 =⇒ − t5700

ln 2 = ln 0.1 =⇒ t =ln 0.1ln 2

· 5700 ≈ 18, 940

So the fossil is almost 19,000 years old.

Page 51: Lesson 15: Exponential Growth and Decay (slides)

Computing age with Carbon-14Example

Suppose a fossil is found where the ra o of carbon-14 to carbon-12is 10% of that in a living organism. How old is the fossil?

Solu onWe are looking for the value of t for which

p(t)p0

= 0.1. From the equa on we have

2−t/5700 = 0.1 =⇒ − t5700

ln 2 = ln 0.1 =⇒ t =ln 0.1ln 2

· 5700 ≈ 18, 940

So the fossil is almost 19,000 years old.

Page 52: Lesson 15: Exponential Growth and Decay (slides)

OutlineRecall

The differen al equa on y′ = ky

Modeling simple popula on growth

Modeling radioac ve decayCarbon-14 Da ng

Newton’s Law of Cooling

Con nuously Compounded Interest

Page 53: Lesson 15: Exponential Growth and Decay (slides)

Newton’s Law of CoolingI Newton’s Law of Cooling statesthat the rate of cooling of anobject is propor onal to thetemperature difference betweenthe object and its surroundings.

I This gives us a differen alequa on of the form

dTdt

= k(T− Ts)

(where k < 0 again).

Page 54: Lesson 15: Exponential Growth and Decay (slides)

Newton’s Law of CoolingI Newton’s Law of Cooling statesthat the rate of cooling of anobject is propor onal to thetemperature difference betweenthe object and its surroundings.

I This gives us a differen alequa on of the form

dTdt

= k(T− Ts)

(where k < 0 again).

Page 55: Lesson 15: Exponential Growth and Decay (slides)

General Solution to NLC problemsTo solve this, change the variable y(t) = T(t)− Ts. Then y′ = T′ andk(T− Ts) = ky. The equa on now looks like

dTdt

= k(T− Ts) ⇐⇒ dydt

= ky

Now we can solve!

y′ = ky =⇒ y = Cekt =⇒ T− Ts = Cekt =⇒ T = Cekt + TsPlugging in t = 0, we see C = y0 = T0 − Ts. SoTheoremThe solu on to the equa on T′(t) = k(T(t)− Ts), T(0) = T0 is

T(t) = (T0 − Ts)ekt + Ts

Page 56: Lesson 15: Exponential Growth and Decay (slides)

General Solution to NLC problemsTo solve this, change the variable y(t) = T(t)− Ts. Then y′ = T′ andk(T− Ts) = ky. The equa on now looks like

dTdt

= k(T− Ts) ⇐⇒ dydt

= ky

Now we can solve!

y′ = ky

=⇒ y = Cekt =⇒ T− Ts = Cekt =⇒ T = Cekt + TsPlugging in t = 0, we see C = y0 = T0 − Ts. SoTheoremThe solu on to the equa on T′(t) = k(T(t)− Ts), T(0) = T0 is

T(t) = (T0 − Ts)ekt + Ts

Page 57: Lesson 15: Exponential Growth and Decay (slides)

General Solution to NLC problemsTo solve this, change the variable y(t) = T(t)− Ts. Then y′ = T′ andk(T− Ts) = ky. The equa on now looks like

dTdt

= k(T− Ts) ⇐⇒ dydt

= ky

Now we can solve!

y′ = ky =⇒ y = Cekt

=⇒ T− Ts = Cekt =⇒ T = Cekt + TsPlugging in t = 0, we see C = y0 = T0 − Ts. SoTheoremThe solu on to the equa on T′(t) = k(T(t)− Ts), T(0) = T0 is

T(t) = (T0 − Ts)ekt + Ts

Page 58: Lesson 15: Exponential Growth and Decay (slides)

General Solution to NLC problemsTo solve this, change the variable y(t) = T(t)− Ts. Then y′ = T′ andk(T− Ts) = ky. The equa on now looks like

dTdt

= k(T− Ts) ⇐⇒ dydt

= ky

Now we can solve!

y′ = ky =⇒ y = Cekt =⇒ T− Ts = Cekt

=⇒ T = Cekt + TsPlugging in t = 0, we see C = y0 = T0 − Ts. SoTheoremThe solu on to the equa on T′(t) = k(T(t)− Ts), T(0) = T0 is

T(t) = (T0 − Ts)ekt + Ts

Page 59: Lesson 15: Exponential Growth and Decay (slides)

General Solution to NLC problemsTo solve this, change the variable y(t) = T(t)− Ts. Then y′ = T′ andk(T− Ts) = ky. The equa on now looks like

dTdt

= k(T− Ts) ⇐⇒ dydt

= ky

Now we can solve!

y′ = ky =⇒ y = Cekt =⇒ T− Ts = Cekt =⇒ T = Cekt + Ts

Plugging in t = 0, we see C = y0 = T0 − Ts. SoTheoremThe solu on to the equa on T′(t) = k(T(t)− Ts), T(0) = T0 is

T(t) = (T0 − Ts)ekt + Ts

Page 60: Lesson 15: Exponential Growth and Decay (slides)

General Solution to NLC problemsTo solve this, change the variable y(t) = T(t)− Ts. Then y′ = T′ andk(T− Ts) = ky. The equa on now looks like

dTdt

= k(T− Ts) ⇐⇒ dydt

= ky

Now we can solve!

y′ = ky =⇒ y = Cekt =⇒ T− Ts = Cekt =⇒ T = Cekt + TsPlugging in t = 0, we see C = y0 = T0 − Ts. SoTheoremThe solu on to the equa on T′(t) = k(T(t)− Ts), T(0) = T0 is

T(t) = (T0 − Ts)ekt + Ts

Page 61: Lesson 15: Exponential Growth and Decay (slides)

Computing cooling time with NLCExample

A hard-boiled egg at 98 ◦C is put in a sink of 18 ◦C water. A er 5minutes, the egg’s temperature is 38 ◦C. Assuming the water hasnot warmed appreciably, how much longer will it take the egg toreach 20 ◦C?

Solu onWe know that the temperature func on takes the form

T(t) = (T0 − Ts)ekt + Ts = 80ekt + 18

To find k, plug in t = 5 and solve for k.

Page 62: Lesson 15: Exponential Growth and Decay (slides)

Computing cooling time with NLCExample

A hard-boiled egg at 98 ◦C is put in a sink of 18 ◦C water. A er 5minutes, the egg’s temperature is 38 ◦C. Assuming the water hasnot warmed appreciably, how much longer will it take the egg toreach 20 ◦C?

Solu onWe know that the temperature func on takes the form

T(t) = (T0 − Ts)ekt + Ts = 80ekt + 18

To find k, plug in t = 5 and solve for k.

Page 63: Lesson 15: Exponential Growth and Decay (slides)

Finding kSolu on (Con nued)

38 = T(5) = 80e5k + 18

=⇒ 20 = 80e5k

14= e5k =⇒ ln

(14

)= 5k =⇒ k = −1

5ln 4.

Now we need to solve for t:

20 = T(t) = 80e−t5 ln 4 + 18

Page 64: Lesson 15: Exponential Growth and Decay (slides)

Finding kSolu on (Con nued)

38 = T(5) = 80e5k + 18 =⇒ 20 = 80e5k

14= e5k =⇒ ln

(14

)= 5k =⇒ k = −1

5ln 4.

Now we need to solve for t:

20 = T(t) = 80e−t5 ln 4 + 18

Page 65: Lesson 15: Exponential Growth and Decay (slides)

Finding kSolu on (Con nued)

38 = T(5) = 80e5k + 18 =⇒ 20 = 80e5k

14= e5k

=⇒ ln(14

)= 5k =⇒ k = −1

5ln 4.

Now we need to solve for t:

20 = T(t) = 80e−t5 ln 4 + 18

Page 66: Lesson 15: Exponential Growth and Decay (slides)

Finding kSolu on (Con nued)

38 = T(5) = 80e5k + 18 =⇒ 20 = 80e5k

14= e5k =⇒ ln

(14

)= 5k

=⇒ k = −15ln 4.

Now we need to solve for t:

20 = T(t) = 80e−t5 ln 4 + 18

Page 67: Lesson 15: Exponential Growth and Decay (slides)

Finding kSolu on (Con nued)

38 = T(5) = 80e5k + 18 =⇒ 20 = 80e5k

14= e5k =⇒ ln

(14

)= 5k =⇒ k = −1

5ln 4.

Now we need to solve for t:

20 = T(t) = 80e−t5 ln 4 + 18

Page 68: Lesson 15: Exponential Growth and Decay (slides)

Finding kSolu on (Con nued)

38 = T(5) = 80e5k + 18 =⇒ 20 = 80e5k

14= e5k =⇒ ln

(14

)= 5k =⇒ k = −1

5ln 4.

Now we need to solve for t:

20 = T(t) = 80e−t5 ln 4 + 18

Page 69: Lesson 15: Exponential Growth and Decay (slides)

Finding t

Solu on (Con nued)

20 = 80e−t5 ln 4 + 18

=⇒ 2 = 80e−t5 ln 4 =⇒ 1

40= e−

t5 ln 4

− ln 40 = − t5ln 4 =⇒ t =

ln 4015 ln 4

=5 ln 40ln 4

≈ 13min

Page 70: Lesson 15: Exponential Growth and Decay (slides)

Finding t

Solu on (Con nued)

20 = 80e−t5 ln 4 + 18 =⇒ 2 = 80e−

t5 ln 4

=⇒ 140

= e−t5 ln 4

− ln 40 = − t5ln 4 =⇒ t =

ln 4015 ln 4

=5 ln 40ln 4

≈ 13min

Page 71: Lesson 15: Exponential Growth and Decay (slides)

Finding t

Solu on (Con nued)

20 = 80e−t5 ln 4 + 18 =⇒ 2 = 80e−

t5 ln 4 =⇒ 1

40= e−

t5 ln 4

− ln 40 = − t5ln 4 =⇒ t =

ln 4015 ln 4

=5 ln 40ln 4

≈ 13min

Page 72: Lesson 15: Exponential Growth and Decay (slides)

Finding t

Solu on (Con nued)

20 = 80e−t5 ln 4 + 18 =⇒ 2 = 80e−

t5 ln 4 =⇒ 1

40= e−

t5 ln 4

− ln 40 = − t5ln 4

=⇒ t =ln 4015 ln 4

=5 ln 40ln 4

≈ 13min

Page 73: Lesson 15: Exponential Growth and Decay (slides)

Finding t

Solu on (Con nued)

20 = 80e−t5 ln 4 + 18 =⇒ 2 = 80e−

t5 ln 4 =⇒ 1

40= e−

t5 ln 4

− ln 40 = − t5ln 4 =⇒ t =

ln 4015 ln 4

=5 ln 40ln 4

≈ 13min

Page 74: Lesson 15: Exponential Growth and Decay (slides)

Computing time of death with NLCExample

A murder vic m is discovered atmidnight and the temperature of thebody is recorded as 31 ◦C. One hourlater, the temperature of the body is29 ◦C. Assume that the surroundingair temperature remains constant at21 ◦C. Calculate the vic m’s me ofdeath. (The “normal” temperature ofa living human being is approximately37 ◦C.)

Page 75: Lesson 15: Exponential Growth and Decay (slides)

Solu on

I Let me 0 be midnight. We know T0 = 31, Ts = 21, andT(1) = 29. We want to know the t for which T(t) = 37.

I To find k:

29 = 10ek·1 + 21 =⇒ k = ln 0.8

I To find t:

37 = 10et·ln(0.8) + 21 =⇒ 1.6 = et·ln(0.8)

t =ln(1.6)ln(0.8)

≈ −2.10 hr

So the me of death was just before 10:00 .

Page 76: Lesson 15: Exponential Growth and Decay (slides)

Solu on

I Let me 0 be midnight. We know T0 = 31, Ts = 21, andT(1) = 29. We want to know the t for which T(t) = 37.

I To find k:

29 = 10ek·1 + 21 =⇒ k = ln 0.8

I To find t:

37 = 10et·ln(0.8) + 21 =⇒ 1.6 = et·ln(0.8)

t =ln(1.6)ln(0.8)

≈ −2.10 hr

So the me of death was just before 10:00 .

Page 77: Lesson 15: Exponential Growth and Decay (slides)

Solu on

I Let me 0 be midnight. We know T0 = 31, Ts = 21, andT(1) = 29. We want to know the t for which T(t) = 37.

I To find k:

29 = 10ek·1 + 21 =⇒ k = ln 0.8

I To find t:

37 = 10et·ln(0.8) + 21 =⇒ 1.6 = et·ln(0.8)

t =ln(1.6)ln(0.8)

≈ −2.10 hr

So the me of death was just before 10:00 .

Page 78: Lesson 15: Exponential Growth and Decay (slides)

OutlineRecall

The differen al equa on y′ = ky

Modeling simple popula on growth

Modeling radioac ve decayCarbon-14 Da ng

Newton’s Law of Cooling

Con nuously Compounded Interest

Page 79: Lesson 15: Exponential Growth and Decay (slides)

InterestI If an account has an compound interest rate of r per yearcompounded n mes, then an ini al deposit of A0 dollarsbecomes

A0

(1+

rn

)nt

a er t years.

I For different amounts of compounding, this will change. Asn → ∞, we get con nously compounded interest

A(t) = limn→∞

A0

(1+

rn

)nt

= A0ert.

I Thus dollars are like bacteria.

Page 80: Lesson 15: Exponential Growth and Decay (slides)

InterestI If an account has an compound interest rate of r per yearcompounded n mes, then an ini al deposit of A0 dollarsbecomes

A0

(1+

rn

)nt

a er t years.I For different amounts of compounding, this will change. Asn → ∞, we get con nously compounded interest

A(t) = limn→∞

A0

(1+

rn

)nt= A0ert.

I Thus dollars are like bacteria.

Page 81: Lesson 15: Exponential Growth and Decay (slides)

InterestI If an account has an compound interest rate of r per yearcompounded n mes, then an ini al deposit of A0 dollarsbecomes

A0

(1+

rn

)nt

a er t years.I For different amounts of compounding, this will change. Asn → ∞, we get con nously compounded interest

A(t) = limn→∞

A0

(1+

rn

)nt= A0ert.

I Thus dollars are like bacteria.

Page 82: Lesson 15: Exponential Growth and Decay (slides)

Continuous vs. Discrete Compounding of interestExampleConsider two bank accounts: one with 10% annual interested compoundedquarterly and one with annual interest rate r compunded con nuously. If theyproduce the same balance a er every year, what is r?

Solu onThe balance for the 10% compounded quarterly account a er t yearsis

A1(t) = A0(1.025)4t = A0((1.025)4)t

The balance for the interest rate r compounded con nuouslyaccount a er t years is

A2(t) = A0ert

Page 83: Lesson 15: Exponential Growth and Decay (slides)

Continuous vs. Discrete Compounding of interestExampleConsider two bank accounts: one with 10% annual interested compoundedquarterly and one with annual interest rate r compunded con nuously. If theyproduce the same balance a er every year, what is r?

Solu onThe balance for the 10% compounded quarterly account a er t yearsis

A1(t) = A0(1.025)4t = A0((1.025)4)t

The balance for the interest rate r compounded con nuouslyaccount a er t years is

A2(t) = A0ert

Page 84: Lesson 15: Exponential Growth and Decay (slides)

SolvingSolu on (Con nued)

A1(t) = A0((1.025)4)t

A2(t) = A0(er)t

For those to be the same, er = (1.025)4, so

r = ln((1.025)4) = 4 ln 1.025 ≈ 0.0988

So 10% annual interest compounded quarterly is basically equivalentto 9.88% compounded con nuously.

Page 85: Lesson 15: Exponential Growth and Decay (slides)

Computing doubling timeExample

How long does it take an ini al deposit of $100, compoundedcon nuously, to double?

Solu onWe need t such that A(t) = 200. In other words

200 = 100ert =⇒ 2 = ert =⇒ ln 2 = rt =⇒ t =ln 2r.

For instance, if r = 6% = 0.06, we have

t =ln 20.06

≈ 0.690.06

=696

= 11.5 years.

Page 86: Lesson 15: Exponential Growth and Decay (slides)

Computing doubling timeExample

How long does it take an ini al deposit of $100, compoundedcon nuously, to double?

Solu onWe need t such that A(t) = 200. In other words

200 = 100ert =⇒ 2 = ert =⇒ ln 2 = rt =⇒ t =ln 2r.

For instance, if r = 6% = 0.06, we have

t =ln 20.06

≈ 0.690.06

=696

= 11.5 years.

Page 87: Lesson 15: Exponential Growth and Decay (slides)

I-banking interview tip of the dayI The frac on

ln 2r

can also beapproximated as either 70 or 72divided by the percentage rate(as a number between 0 and100, not a frac on between 0and 1.)

I This is some mes called the ruleof 70 or rule of 72.

I 72 has lots of factors so it’s usedmore o en.

Page 88: Lesson 15: Exponential Growth and Decay (slides)

Summary

I When something grows or decays at a constant rela ve rate,the growth or decay is exponen al.

I Equa ons with unknowns in an exponent can be solved withlogarithms.

I Your friend list is like culture of bacteria (no offense).