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Section 3.4
Exponential Growth and Decay
V63.0121.041, Calculus I
New York University
October 27, 2010
Announcements
Quiz 3 next week in recitation on 2.6, 2.8, 3.1, 3.2
Announcements
Quiz 3 next week in
recitation on 2.6, 2.8, 3.1,
3.2
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 2 / 40
Objectives
Solve the ordinary
differential equation
y (t) = ky(t), y(0) = y0
Solve problems involving
exponential growth and
decay
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 3 / 40
Notes
Notes
Notes
1
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Outline
Recall
The differential equation y = ky
Modeling simple population growth
Modeling radioactive decay
Carbon-14 Dating
Newton’s Law of Cooling
Continuously Compounded Interest
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 4 / 40
Derivatives of exponential and logarithmic functions
y y
ex
ex
ax
(ln a) · ax
ln x
1
x
loga x
1
ln a
·
1
x
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 5 / 40
Outline
Recall
The differential equation y = ky
Modeling simple population growth
Modeling radioactive decay
Carbon-14 Dating
Newton’s Law of Cooling
Continuously Compounded Interest
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 6 / 40
Notes
Notes
Notes
2
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
What is a differential equation?
Definition
A differential equation is an equation for an unknown function which
includes the function and its derivatives.
Example
Newton’s Second Law F = ma is a differential equation, where
a(t) = x (t).
In a spring, F(x) = −kx, where x is displacement from equilibrium
and k is a constant. So
−kx(t) = mx (t) =⇒ x (t) +
k
m
x(t) = 0.
The most general solution is x(t) = A sin ωt + B cos ωt, where
ω = k/m.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 7 / 40
Showing a function is a solution
Example (Continued)
Show that x(t) = A sin ωt + B cos ωt satisfies the differential equation
x +
k
m
x = 0, where ω = k/m.
Solution
We have
x(t) = A sin ωt + B cos ωt
x (t) = Aω cos ωt − Bω sin ωt
x (t) = −Aω2
sin ωt − Bω2
sin ωt
Since ω2
= k/m, the last line plus k/m times the first line result in zero.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 8 / 40
The Equation y = 2
Example
Find a solution to y (t) = 2.
Find the most general solution to y (t) = 2.
Solution
A solution is y(t) = 2t.
The general solution is y = 2t + C.
Remark
If a function has a constant rate of growth, it’s linear.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 9 / 40
Notes
Notes
Notes
3
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
The Equation y = 2t
Example
Find a solution to y (t) = 2t.
Find the most general solution to y (t) = 2t.
Solution
A solution is y(t) = t2
.
The general solution is y = t2
+ C.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 10 / 40
The Equation y = y
Example
Find a solution to y (t) = y(t).
Find the most general solution to y (t) = y(t).
Solution
A solution is y(t) = et
.
The general solution is y = Cet
, not y = et
+ C.
(check this)
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 11 / 40
Kick it up a notch: y = 2y
Example
Find a solution to y = 2y.
Find the general solution to y = 2y.
Solution
y = e2t
y = Ce2t
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 12 / 40
Notes
Notes
Notes
4
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
In general: y = ky
Example
Find a solution to y = ky.
Find the general solution to y = ky.
Solution
y = ekt
y = Cekt
Remark
What is C? Plug in t = 0:
y(0) = Cek·0
= C · 1 = C,
so y(0) = y0, the initial value of y.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 13 / 40
Constant Relative Growth =⇒ Exponential Growth
Theorem
A function with constant relative growth rate k is an exponential function
with parameter k. Explicitly, the solution to the equation
y (t) = ky(t) y(0) = y0
is
y(t) = y0ekt
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 14 / 40
Exponential Growth is everywhere
Lots of situations have growth rates proportional to the current value
This is the same as saying the relative growth rate is constant.
Examples: Natural population growth, compounded interest, social
networks
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 15 / 40
Notes
Notes
Notes
5
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Outline
Recall
The differential equation y = ky
Modeling simple population growth
Modeling radioactive decay
Carbon-14 Dating
Newton’s Law of Cooling
Continuously Compounded Interest
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 16 / 40
Bacteria
Since you need bacteria to
make bacteria, the amount
of new bacteria at any
moment is proportional to
the total amount of bacteria.
This means bacteria
populations grow
exponentially.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 17 / 40
Bacteria Example
Example
A colony of bacteria is grown under ideal conditions in a laboratory. At the
end of 3 hours there are 10,000 bacteria. At the end of 5 hours there are
40,000. How many bacteria were present initially?
Solution
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 18 / 40
Notes
Notes
Notes
6
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Outline
Recall
The differential equation y = ky
Modeling simple population growth
Modeling radioactive decay
Carbon-14 Dating
Newton’s Law of Cooling
Continuously Compounded Interest
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 20 / 40
Modeling radioactive decay
Radioactive decay occurs because many large atoms spontaneously give off
particles.
This means that in a sample of a
bunch of atoms, we can assume a
certain percentage of them will
“go off” at any point. (For
instance, if all atom of a certain
radioactive element have a 20%
chance of decaying at any point,
then we can expect in a sample
of 100 that 20 of them will be
decaying.)
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 21 / 40
Radioactive decay as a differential equation
The relative rate of decay is constant:
y
y
= k
where k is negative. So
y = ky =⇒ y = y0ekt
again!
It’s customary to express the relative rate of decay in the units of half-life:
the amount of time it takes a pure sample to decay to one which is only
half pure.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 22 / 40
Notes
Notes
Notes
7
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Computing the amount remaining of a decaying
sample
Example
The half-life of polonium-210 is about 138 days. How much of a 100 g
sample remains after t years?
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 23 / 40
Carbon-14 Dating
The ratio of carbon-14 to
carbon-12 in an organism decays
exponentially:
p(t) = p0e−kt
.
The half-life of carbon-14 is
about 5700 years. So the
equation for p(t) is
p(t) = p0e− ln2
5700
t
Another way to write this would
be
p(t) = p02−t/5700
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 24 / 40
Computing age with Carbon-14 content
Example
Suppose a fossil is found where the ratio of carbon-14 to carbon-12 is 10%
of that in a living organism. How old is the fossil?
Solution
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 25 / 40
Notes
Notes
Notes
8
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Outline
Recall
The differential equation y = ky
Modeling simple population growth
Modeling radioactive decay
Carbon-14 Dating
Newton’s Law of Cooling
Continuously Compounded Interest
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 26 / 40
Newton’s Law of Cooling
Newton’s Law of Cooling
states that the rate of
cooling of an object is
proportional to the
temperature difference
between the object and its
surroundings.
This gives us a differential
equation of the form
dT
dt
= k(T − Ts)
(where k < 0 again).
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 27 / 40
General Solution to NLC problems
To solve this, change the variable y(t) = T(t) − Ts. Then y = T and
k(T − Ts) = ky. The equation now looks like
dT
dt
= k(T − Ts) ⇐⇒
dy
dt
= 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. So
Theorem
The solution to the equation T (t) = k(T(t) − Ts), T(0) = T0 is
T(t) = (T0 − Ts)ekt
+ Ts
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 28 / 40
Notes
Notes
Notes
9
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Computing cooling time with NLC
Example
A hard-boiled egg at 98 ◦
C is put in a sink of 18 ◦
C water. After 5
minutes, the egg’s temperature is 38 ◦
C. Assuming the water has not
warmed appreciably, how much longer will it take the egg to reach 20 ◦
C?
Solution
We know that the temperature function takes the form
T(t) = (T0 − Ts)ekt
+ Ts = 80ekt
+ 18
To find k, plug in t = 5:
38 = T(5) = 80e5k
+ 18
and solve for k.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 29 / 40
Finding k
Solution (Continued)
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 30 / 40
Finding t
Solution (Continued)
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 31 / 40
Notes
Notes
Notes
10
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Computing time of death with NLC
Example
A murder victim is discovered at
midnight and the temperature of
the body is recorded as 31 ◦
C.
One hour later, the temperature
of the body is 29 ◦
C. Assume
that the surrounding air
temperature remains constant at
21 ◦
C. Calculate the victim’s
time of death. (The “normal”
temperature of a living human
being is approximately 37 ◦
C.)
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 32 / 40
Solution
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 33 / 40
Outline
Recall
The differential equation y = ky
Modeling simple population growth
Modeling radioactive decay
Carbon-14 Dating
Newton’s Law of Cooling
Continuously Compounded Interest
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 34 / 40
Notes
Notes
Notes
11
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Interest
If an account has an compound interest rate of r per year
compounded n times, then an initial deposit of A0 dollars becomes
A0 1 +
r
n
nt
after t years.
For different amounts of compounding, this will change. As n → ∞,
we get continously compounded interest
A(t) = lim
n→∞
A0 1 +
r
n
nt
= A0ert
.
Thus dollars are like bacteria.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 35 / 40
Continuous vs. Discrete Compounding of interest
Example
Consider two bank accounts: one with 10% annual interested compounded
quarterly and one with annual interest rate r compunded continuously. If
they produce the same balance after every year, what is r?
Solution
The balance for the 10% compounded quarterly account after t years is
B1(t) = P(1.025)4t
= P((1.025)4
)t
The balance for the interest rate r compounded continuously account after
t years is
B2(t) = Pert
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 36 / 40
Solving
Solution (Continued)
B1(t) = P((1.025)4
)t
B2(t) = P(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 equivalent to
9.88% compounded continuously.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 37 / 40
Notes
Notes
Notes
12
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
Computing doubling time with exponential growth
Example
How long does it take an initial deposit of $100, compounded
continuously, to double?
Solution
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 38 / 40
I-banking interview tip of the day
The fraction
ln 2
r
can also be
approximated as either 70 or
72 divided by the percentage
rate (as a number between 0
and 100, not a fraction
between 0 and 1.)
This is sometimes called the
rule of 70 or rule of 72.
72 has lots of factors so it’s
used more often.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 39 / 40
Summary
When something grows or decays at a constant relative rate, the
growth or decay is exponential.
Equations with unknowns in an exponent can be solved with
logarithms.
V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 40 / 40
Notes
Notes
Notes
13
Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010

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Lesson 15: Exponential Growth and Decay (Section 041 handout)

  • 1. Section 3.4 Exponential Growth and Decay V63.0121.041, Calculus I New York University October 27, 2010 Announcements Quiz 3 next week in recitation on 2.6, 2.8, 3.1, 3.2 Announcements Quiz 3 next week in recitation on 2.6, 2.8, 3.1, 3.2 V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 2 / 40 Objectives Solve the ordinary differential equation y (t) = ky(t), y(0) = y0 Solve problems involving exponential growth and decay V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 3 / 40 Notes Notes Notes 1 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 2. Outline Recall The differential equation y = ky Modeling simple population growth Modeling radioactive decay Carbon-14 Dating Newton’s Law of Cooling Continuously Compounded Interest V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 4 / 40 Derivatives of exponential and logarithmic functions y y ex ex ax (ln a) · ax ln x 1 x loga x 1 ln a · 1 x V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 5 / 40 Outline Recall The differential equation y = ky Modeling simple population growth Modeling radioactive decay Carbon-14 Dating Newton’s Law of Cooling Continuously Compounded Interest V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 6 / 40 Notes Notes Notes 2 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 3. What is a differential equation? Definition A differential equation is an equation for an unknown function which includes the function and its derivatives. Example Newton’s Second Law F = ma is a differential equation, where a(t) = x (t). In a spring, F(x) = −kx, where x is displacement from equilibrium and k is a constant. So −kx(t) = mx (t) =⇒ x (t) + k m x(t) = 0. The most general solution is x(t) = A sin ωt + B cos ωt, where ω = k/m. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 7 / 40 Showing a function is a solution Example (Continued) Show that x(t) = A sin ωt + B cos ωt satisfies the differential equation x + k m x = 0, where ω = k/m. Solution We have x(t) = A sin ωt + B cos ωt x (t) = Aω cos ωt − Bω sin ωt x (t) = −Aω2 sin ωt − Bω2 sin ωt Since ω2 = k/m, the last line plus k/m times the first line result in zero. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 8 / 40 The Equation y = 2 Example Find a solution to y (t) = 2. Find the most general solution to y (t) = 2. Solution A solution is y(t) = 2t. The general solution is y = 2t + C. Remark If a function has a constant rate of growth, it’s linear. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 9 / 40 Notes Notes Notes 3 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 4. The Equation y = 2t Example Find a solution to y (t) = 2t. Find the most general solution to y (t) = 2t. Solution A solution is y(t) = t2 . The general solution is y = t2 + C. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 10 / 40 The Equation y = y Example Find a solution to y (t) = y(t). Find the most general solution to y (t) = y(t). Solution A solution is y(t) = et . The general solution is y = Cet , not y = et + C. (check this) V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 11 / 40 Kick it up a notch: y = 2y Example Find a solution to y = 2y. Find the general solution to y = 2y. Solution y = e2t y = Ce2t V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 12 / 40 Notes Notes Notes 4 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 5. In general: y = ky Example Find a solution to y = ky. Find the general solution to y = ky. Solution y = ekt y = Cekt Remark What is C? Plug in t = 0: y(0) = Cek·0 = C · 1 = C, so y(0) = y0, the initial value of y. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 13 / 40 Constant Relative Growth =⇒ Exponential Growth Theorem A function with constant relative growth rate k is an exponential function with parameter k. Explicitly, the solution to the equation y (t) = ky(t) y(0) = y0 is y(t) = y0ekt V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 14 / 40 Exponential Growth is everywhere Lots of situations have growth rates proportional to the current value This is the same as saying the relative growth rate is constant. Examples: Natural population growth, compounded interest, social networks V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 15 / 40 Notes Notes Notes 5 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 6. Outline Recall The differential equation y = ky Modeling simple population growth Modeling radioactive decay Carbon-14 Dating Newton’s Law of Cooling Continuously Compounded Interest V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 16 / 40 Bacteria Since you need bacteria to make bacteria, the amount of new bacteria at any moment is proportional to the total amount of bacteria. This means bacteria populations grow exponentially. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 17 / 40 Bacteria Example Example A colony of bacteria is grown under ideal conditions in a laboratory. At the end of 3 hours there are 10,000 bacteria. At the end of 5 hours there are 40,000. How many bacteria were present initially? Solution V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 18 / 40 Notes Notes Notes 6 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 7. Outline Recall The differential equation y = ky Modeling simple population growth Modeling radioactive decay Carbon-14 Dating Newton’s Law of Cooling Continuously Compounded Interest V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 20 / 40 Modeling radioactive decay Radioactive decay occurs because many large atoms spontaneously give off particles. This means that in a sample of a bunch of atoms, we can assume a certain percentage of them will “go off” at any point. (For instance, if all atom of a certain radioactive element have a 20% chance of decaying at any point, then we can expect in a sample of 100 that 20 of them will be decaying.) V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 21 / 40 Radioactive decay as a differential equation The relative rate of decay is constant: y y = k where k is negative. So y = ky =⇒ y = y0ekt again! It’s customary to express the relative rate of decay in the units of half-life: the amount of time it takes a pure sample to decay to one which is only half pure. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 22 / 40 Notes Notes Notes 7 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 8. Computing the amount remaining of a decaying sample Example The half-life of polonium-210 is about 138 days. How much of a 100 g sample remains after t years? V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 23 / 40 Carbon-14 Dating The ratio of carbon-14 to carbon-12 in an organism decays exponentially: p(t) = p0e−kt . The half-life of carbon-14 is about 5700 years. So the equation for p(t) is p(t) = p0e− ln2 5700 t Another way to write this would be p(t) = p02−t/5700 V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 24 / 40 Computing age with Carbon-14 content Example Suppose a fossil is found where the ratio of carbon-14 to carbon-12 is 10% of that in a living organism. How old is the fossil? Solution V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 25 / 40 Notes Notes Notes 8 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 9. Outline Recall The differential equation y = ky Modeling simple population growth Modeling radioactive decay Carbon-14 Dating Newton’s Law of Cooling Continuously Compounded Interest V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 26 / 40 Newton’s Law of Cooling Newton’s Law of Cooling states that the rate of cooling of an object is proportional to the temperature difference between the object and its surroundings. This gives us a differential equation of the form dT dt = k(T − Ts) (where k < 0 again). V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 27 / 40 General Solution to NLC problems To solve this, change the variable y(t) = T(t) − Ts. Then y = T and k(T − Ts) = ky. The equation now looks like dT dt = k(T − Ts) ⇐⇒ dy dt = 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. So Theorem The solution to the equation T (t) = k(T(t) − Ts), T(0) = T0 is T(t) = (T0 − Ts)ekt + Ts V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 28 / 40 Notes Notes Notes 9 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 10. Computing cooling time with NLC Example A hard-boiled egg at 98 ◦ C is put in a sink of 18 ◦ C water. After 5 minutes, the egg’s temperature is 38 ◦ C. Assuming the water has not warmed appreciably, how much longer will it take the egg to reach 20 ◦ C? Solution We know that the temperature function takes the form T(t) = (T0 − Ts)ekt + Ts = 80ekt + 18 To find k, plug in t = 5: 38 = T(5) = 80e5k + 18 and solve for k. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 29 / 40 Finding k Solution (Continued) V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 30 / 40 Finding t Solution (Continued) V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 31 / 40 Notes Notes Notes 10 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 11. Computing time of death with NLC Example A murder victim is discovered at midnight and the temperature of the body is recorded as 31 ◦ C. One hour later, the temperature of the body is 29 ◦ C. Assume that the surrounding air temperature remains constant at 21 ◦ C. Calculate the victim’s time of death. (The “normal” temperature of a living human being is approximately 37 ◦ C.) V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 32 / 40 Solution V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 33 / 40 Outline Recall The differential equation y = ky Modeling simple population growth Modeling radioactive decay Carbon-14 Dating Newton’s Law of Cooling Continuously Compounded Interest V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 34 / 40 Notes Notes Notes 11 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 12. Interest If an account has an compound interest rate of r per year compounded n times, then an initial deposit of A0 dollars becomes A0 1 + r n nt after t years. For different amounts of compounding, this will change. As n → ∞, we get continously compounded interest A(t) = lim n→∞ A0 1 + r n nt = A0ert . Thus dollars are like bacteria. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 35 / 40 Continuous vs. Discrete Compounding of interest Example Consider two bank accounts: one with 10% annual interested compounded quarterly and one with annual interest rate r compunded continuously. If they produce the same balance after every year, what is r? Solution The balance for the 10% compounded quarterly account after t years is B1(t) = P(1.025)4t = P((1.025)4 )t The balance for the interest rate r compounded continuously account after t years is B2(t) = Pert V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 36 / 40 Solving Solution (Continued) B1(t) = P((1.025)4 )t B2(t) = P(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 equivalent to 9.88% compounded continuously. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 37 / 40 Notes Notes Notes 12 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010
  • 13. Computing doubling time with exponential growth Example How long does it take an initial deposit of $100, compounded continuously, to double? Solution V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 38 / 40 I-banking interview tip of the day The fraction ln 2 r can also be approximated as either 70 or 72 divided by the percentage rate (as a number between 0 and 100, not a fraction between 0 and 1.) This is sometimes called the rule of 70 or rule of 72. 72 has lots of factors so it’s used more often. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 39 / 40 Summary When something grows or decays at a constant relative rate, the growth or decay is exponential. Equations with unknowns in an exponent can be solved with logarithms. V63.0121.041, Calculus I (NYU) Section 3.4 Exponential Growth and Decay October 27, 2010 40 / 40 Notes Notes Notes 13 Section 3.4 : Exponential Growth and DecayV63.0121.041, Calculus I October 27, 2010