© 2010 pearson education inc.goldstein/schneider/lay/asmar, calculus and its applications, 12e–...
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© 2010 Pearson Education Inc. Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 1 of 47
Chapter 5
Applications of the Exponential and Natural
Logarithm Functions
© 2010 Pearson Education Inc. Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 2 of 47
Exponential Growth and Decay
Compound Interest
Applications of the Natural Logarithm Function to Economics
Further Exponential Models
Chapter Outline
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§ 5.1
Exponential Growth and Decay
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Exponential Growth
The Exponential Growth and Decay Model
Exponential Growth in Application
Exponential Decay
Exponential Decay in Application
Section Outline
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Exponential Growth
Definition Example
Exponential Growth: A quantity, such that, at every instant the rate of increase of the quantity is proportional to the amount of the quantity at that instant
tetP 43
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Exponential Growth & Decay Model
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Exponential Growth in Application
EXAMPLEEXAMPLE
SOLUTIONSOLUTION
(World’s Population) The world’s population was 5.51 billion on January 1, 1993 and 5.88 billion on January 1, 1998. Assume that at any time the population grows at a rate proportional to the population at that time. In what year will the world’s population reach 7 billion?
Since the “oldest” information we’re given corresponds to 1993, that will serve as our initial time. Therefore the year 1993 will be the year t = 0 and the population at time t = 0 is 5.51 (measured in billions). Therefore, the year 1998 will be year t = 5 and the population at time t = 5 is 5.88 (measured in billions).Since the population grows at a rate proportional to the size of the population, we can use the exponential growth model P(t) = P0ekt to describe the population of the world.
Since P0 is the initial quantity, P0 = 5.51. Therefore, our formula becomes
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Exponential Growth in Application
Now we use the other given information (5.88 billion in 1998) to determine k.
This is our function so far.
CONTINUECONTINUEDD .51.5 ktetP
ktetP 51.5
When t = 5, the population is 5.88 billion people.
551.588.55 keP
Divide.507.1 ke
Rewrite in logarithmic form.k507.1ln
Solve for k.k013.0
Therefore, our formula to model this situation is .51.5 013.0 tetP
Now we can determine when the world’s population will be 7 billion.
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Exponential Growth in Application
CONTINUECONTINUEDD
This the derived function. tetP 013.051.5
Therefore, the world’s population will be 7 billion people about 18.36 years after our initial year, 1993. This would be the year 1993 + 18.36 = 2011.36. That is, around the year 2011. The graph is given below.
Replace P(t) with 7.te 013.051.57
Divide.te 013.027.1
Rewrite in logarithmic form.t013.027.1ln
Solve for t.t36.18
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Exponential Growth in Application
CONTINUECONTINUEDD
0
1
2
3
4
5
6
7
8
9
0 5 10 15 20 25 30
Time: t years after 1993
Wo
rld
Po
pu
lati
on
: P
(t)
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Exponential Decay
Definition Example
Exponential Decay: A quantity, such that, at every instant the rate of decrease of the quantity is proportional to the amount of the quantity at that instant
tetP 43
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Exponential Decay in Application
EXAMPLEEXAMPLE
(Radioactive Decay) Radium-226 is used in cancer radiotherapy, as a neutron source for some research purposes, and as a constituent of luminescent paints. Let P(t) be the number of grams of radium-226 in a sample remaining after t years, and suppose that P(t) satisfies the differential equation
.120),(00043.0 PtPtP
(a) Find the formula for P(t).(b) What was the initial amount?
(c) What is the decay constant?
(d) Approximately how much of the radium will remain after 943 years?
(e) How fast is the sample disintegrating when just one gram remains? Use the differential equation.
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Exponential Decay in Application
(a) Since the function y = Cekt satisfies the differential equation y΄ = ky, the function P(t) = Cekt = Ce-0.00043t (where k = -0.00043).
Since for the function y = Cekt, C is always the initial quantity (at time t = 0), C = 12 (since P(0) = 12). Therefore, our function is
.12 00043.0 tetP
CONTINUECONTINUEDD(f) What is the weight of the sample when it is disintegrating at the rate of 0.004 grams per year?
(g) The radioactive material has a half-life of about 1612 years. How much will remain after 1612 years? 3224 years?
SOLUTIONSOLUTION
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Exponential Decay in Application
(c) Since our exponential decay function is , the decay constant, being the coefficient of t, is -0.00043.
(b) We were given P(0) = 12. Therefore the initial amount is 12 grams.
tetP 00043.012
CONTINUECONTINUEDD
(d) To determine approximately how much of the radium will remain after 943 years, we will evaluate the function at t = 943.
tetP 00043.012 This is the decay function.
94300043.012943 eP Evaluate the function at t = 943.
8943 P Simplify.
Therefore, after 943 years, there will be approximately 8 grams remaining.
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Exponential Decay in Application
CONTINUECONTINUEDD
This is the derivative function.
(e) To determine how fast the sample is disintegrating when just one gram remains, we must first recognize that this is a situation concerning the rate of change of a quantity, namely the rate at which the radium is disintegrating. This of course involves the derivative function. This function was given to us and is . Now we will determine the value of the derivative function at P(t) = 1 (when one gram remains).
)(00043.0 tPtP
)(00043.0 tPtP
Replace P(t) with 1. 00043.0100043.0 tP
So, when there is just one gram remaining, the radium is disintegrating at a rate of 0.00043 grams/year.
(f) To determine the weight of the sample when it is disintegrating at the rate of 0.004 grams per year, we must determine P(t) when P΄(t) = -0.004.
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Exponential Decay in Application
CONTINUECONTINUEDD
This is the derivative function. )(00043.0 tPtP
Replace P΄(t) with -0.004.)(00043.0004.0 tP
Solve for P(t).)(3.9 tP
So, the weight of the sample when it is disintegrating at the rate of 0.004 grams per year, is 9.3 grams.
(g) To determine how much of the radium will remain after 1612 years, that is one half-life, we will simply recognize that after one half-life, half of the original amount of radium will be disintegrated. That is, 12/2 = 6 grams will be disintegrated and therefore 6 grams will remain.
After 3224 years, two half-lives, half of what was remaining at the end of the first 1612 years (6 grams) will remain. That is, 6/2 = 3 grams. These results can be verified using the formula for P(t).
© 2010 Pearson Education Inc. Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 17 of 47
§ 5.2
Compound Interest
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Compound Interest: Non-Continuous
Compound Interest: Continuous
Applications of Interest Compounded Continuously
Section Outline
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Compound Interest: Non-Continuous
Compound Interest: Non-Continuous
mt
m
rPA
1
• P = principal amount invested
• m = the number of times per year interest is compounded
• r = the interest rate
• t = the number of years interest is being compounded
• A = the compound amount, the balance after t years
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Compound Interest
Notice that as m increases, so does A. Therefore, the maximum amount of interest can be acquired when m is being compounded all the time - continuously.
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Compound Interest: Continuous
Compound Interest: Continuous
rtPeA
• P = principal amount invested
•r = the interest rate
• t = the number of years interest is being compounded
• A = the compound amount, the balance after t years
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Compound Interest: Continuous
EXAMPLEEXAMPLE
SOLUTIONSOLUTION
(Continuous Compound) Ten thousand dollars is invested at 6.5% interest compounded continuously. When will the investment be worth $41,787?
We must first determine the formula for A(t). Since interest is being compounded continuously, the basic formula to be used is
.rtPeA
Since the interest rate is 6.5%, r = 0.065. Since ten thousand dollars is being invested, P = 10,000. And since the investment is to grow to become $41,787, A = 41,787. We will make the appropriate substitutions and then solve for t.
rtPeA This is the formula to use.
te 065.0000,10787,41 P = 10,000, r = 0.065, and A = 41,787.
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Compound Interest: Continuous
Therefore, the $10,000 investment will grow to $41,787, via 6.5% interest compounded continuously, in 22 years.
te 065.01787.4 Divide by 10,000.
CONTINUECONTINUEDD
t065.01787.4ln Rewrite the equation in logarithmic form.
t22 Divide by 0.065 and solve for t.
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Compound Interest: Present Value
Variables are defined the same as in Slide #21.
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Compound Interest: Present Value
EXAMPLEEXAMPLE
SOLUTIONSOLUTION
(Investment Analysis) An investment earns 5.1% interest compounded continuously and is currently growing at the rate of $765 per year. What is the current value of the investment?
Since the problem involves a rate of change, we will use the formula for the derivative of That is, A΄ = rA. Since the investment is growing at a rate of $765 per year, A΄ = 765. Since the interest rate is 5.1%, r = 0.051.
.rtPeA
rAA This is the given function.
A051.0765 A΄ = 765 and r = 0.051.A000,15 Solve for A.
Therefore, the value of A for this situation is 15,000. We can now use this, and the present value formula, to determine P.
© 2010 Pearson Education Inc. Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 26 of 47
Compound Interest: Present Value
This is the present value formula.
Therefore, the current value is $14,254.18.
CONTINUECONTINUEDD
rtAeP
A = 15,000, r = 0.051 and t = 1 (since we were given the rate of growth per year).
1051.0000,15 eP
Simplify.18.254,14P
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§ 5.3
Applications of the Natural Logarithm Function to Economics
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Relative Rates of Change
Elasticity of Demand
Section Outline
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Relative Rate of Change
Definition Example
Relative Rate of Change: The quantity on either side of the equation
is often called the relative rate of change of f (t) per unit change of t (a way of comparing rates of change for two different situations).
An example will be given immediately hereafter.
tf
tftf
dt
d ln
© 2010 Pearson Education Inc. Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 30 of 47
Relative Rate of Change
EXAMPLEEXAMPLE
SOLUTIONSOLUTION
(Percentage Rate of Change) Suppose that the price of wheat per bushel at time t (in months) is approximated by
What is the percentage rate of change of f (t) at t = 0? t = 1? t = 2?
Since
.01.0001.04 tettf
,01.0001.0 tetf
we see that %.22.0
01.4
009.0
01.04
01.0001.0
0
0
f
f
%.65.0
0047.4
026.0
01.01001.04
01.0001.0
1
11
1
e
e
f
f
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Relative Rate of Change
So at t = 0 months, the price of wheat per bushel contracts at a relative rate of 0.22% per month; 1 month later, the price of wheat per bushel is still contracting, but more so, at a relative rate of 0.65%. One month after that (t = 2), the price of wheat per bushel is contracting, but much less so, at a relative rate of 0.0087%.
%.0087.0
0034.4
00035.0
01.02001.04
01.0001.0
2
22
2
e
e
f
f
CONTINUECONTINUEDD
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Elasticity of Demand
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Elasticity of Demand
EXAMPLEEXAMPLE
SOLUTIONSOLUTION
(Elasticity of Demand) A subway charges 65 cents per person and has 10,000 riders each day. The demand function for the subway is
(a) We must first determine E(p).
.902000 pq
(a) Is demand elastic or inelastic at p = 65?
(b) Should the price of a ride be raised or lowered in order to increase the amount of money taken in by the subway?
ppfq 902000 p
pfq
90
1000
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Elasticity of Demand
Now we will determine for what value of p E(p) = 1.
p
p
p
pp
pf
pfppE
2180902000
90
1000
CONTINUECONTINUEDD
12180
p
p Set E(p) = 1.
pp 2180 Multiply by 180 – 2p.
1803 p Add 2p to both sides.
60p Divide both sides by 3.
So, p = 60 is the point at which E(p) changes from elastic to inelastic, or visa versa.
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Elasticity of Demand
Through simple inspection, which we could have done in the first place, we can determine whether the value of the function E(p) is greater than 1 (elastic) or less than 1 (inelastic) at p = 65.
CONTINUECONTINUEDD
So, demand is elastic at p = 65.
13.1652180
6565
E
(b) Since demand is elastic when p = 65, this means that for revenue to increase, price should decrease.
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§ 5.4
Further Exponential Models
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Population Growth Equations
Exponential Models in Application
Section Outline
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Population Growth Equations
ktePtf 1 PktBe
Py
1
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Exponential Models in Application
EXAMPLEEXAMPLE
(Spread of News) A news item is spread by word of mouth to a potential audience of 10,000 people. After t days,
people will have heard the news. The graph of this function is found below.
te
tf4.0501
000,10
(a) Approximately how many people will have heard the news after 7 days?
(b) At approximately what rate will the news be spreading after 14 days?
(c) Approximately when will 7000 people have heard the news?(d) Approximately when will the news be spreading at the rate of 600 people per day?
(e) When will the news be spreading at the greatest rate?
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Exponential Models in Application
(f) Use and to determine the differential
equation satisfied by f (t).
CONTINUECONTINUEDD
MktBe
My
1 yMkyy
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Exponential Models in Application
CONTINUECONTINUEDD
SOLUTIONSOLUTION
(a) To determine approximately how many people will have heard the news after 7 days, we will evaluate f (7).
24750608.0501
000,10
501
000,10
501
000,107
8.274.0
ee
f
So, after 7 days, we would expect about 2475 people to have heard the news.
(b) To determine at approximately what rate the news will be spreading after 14 days, we will evaluate f ΄(14) (we use the derivative of the function since we seek a rate of change). We first use the quotient rule.
te
tf4.0501
000,10
This is the given function.
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Exponential Models in Application
CONTINUECONTINUEDD
24.0
4.04.0
501
000,10504.005010t
tt
e
eetf
Use the quotient rule.
24.0
4.0
501
000,200t
t
e
etf
Simplify.
76.526404.1
57.739
501
000,20014 2144.0
144.0
e
ef Evaluate f ΄(14).
So, after 14 days, the news will be spreading at approximately 526.76 people per day.
(c) To determine approximately when 7000 people will have heard the news, we replace f (t) with 7000 and then solve for t.
© 2010 Pearson Education Inc. Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 43 of 47
Exponential Models in Application
CONTINUECONTINUEDD
tetf
4.0501
000,10
This is the given function.
te 4.0501
000,107000
Replace f (t) with 7000.
000,105017000 4.0 te Multiply by the denominator.
000,10000,3507000 4.0 te Distribute.
000,3000,350 4.0 te Subtract.
0086.04.0 te Divide.
0086.0ln4.0 t Rewrite in logarithm form.
89.114.0
0086.0ln
t Divide.
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Exponential Models in Application
CONTINUECONTINUEDDSo, 7000 people will have heard the news after approximately 11.89 days.(d) To determine approximately when the news will be spreading at the rate of 600 people per day, we need to replace f ΄(t) with 600. However, since this will be a long, messy process (a good algebraic exercise for you), we will just look at the given graph where f ΄(t) = 600.
As can be seen on the graph, the derivative has a value of 600 when t ≈ 6 or t ≈ 13.5.
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Exponential Models in Application
CONTINUECONTINUEDD(e) The news will be spreading at the greatest rate when the rate (derivative) is greatest. That is,
at t = 10 (or when f ΄΄(t) = 0).
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Exponential Models in Application
CONTINUECONTINUEDD(f) Since we know satisfies the differential equation
then we can rewrite f (t) in the form . Upon doing this, we will
have defined M, k, and B for our function. We can then use to create a differential equation satisfied by f (t).
MktBe
My
1 yMkyy
MktBe
My
1 yMkyy
te
tf4.0501
000,10
This is the given function.
Mk 4.0
Since the number 10,000 is by itself in the numerator, it must be that M = 10,000. And since the number 50 is the only coefficient of e-0.4t, it must be that B = 50. So we must now rewrite -0.4 in the form –Mk to determine k. That is
Mk4.0
k000,104.0
.00004.0 k
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Exponential Models in Application
CONTINUECONTINUEDDTherefore,
.501
000,10000,10
501
000,1000004.0000,1000004.0
4.04.0
tt ee
yyyMkyy
.501
000,10
501
000,1000004.0000,104.0 tt ee
tf
So, f (t) satisfies the differential equation