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Consider:2 3y x
then: 2y x 2y x
2 5y x or
It doesn’t matter whether the constant was 3 or -5, since when we take the derivative the constant disappears.
However, when we try to reverse the operation:
Given: 2y x find y
2y x C
We don’t know what the constant is, so we put “C” in the answer to remind us that there might have been a constant.
6.1 Antiderivatives with Slope Fields
Given: and when , find the equation for .2y x y4y 1x 2y x C 24 1 C
3 C2 3y x
This is called an initial value problem. We need the initial values to find the constant.
An equation containing a derivative is called a differential equation. It becomes an initial value problem when you are given the initial condition and asked to find the original equation.
6.1 Antiderivatives with Slope Fields
Initial value problems and differential equations can be illustrated with a slope field.
6.1 Antiderivatives with Slope Fields
Definition Slope Field or Directional Field A slope field or a directional field for the first order differentiable equation
is a plot of sort line segments with slopes f(x,y) for a lattice of points (x,y) in the plane.
),( yxfdx
dy
2y x
6.1 Antiderivatives with Slope Fields
'yyx0 0 0
0 1 0
0 2 0
0 3 0
1 0 2
1 1 2
2 0 4
-1 0 -2
-2 0 -4
2y x
If you know an initial condition, such as (1,-2), you can sketch the curve.
By following the slope field, you get a rough picture of what the curve looks like.
In this case, it is a parabola.
6.1 Antiderivatives with Slope Fields
Integrals such as are called
definite integrals because we can find a
definite value for the answer.
4 2
1x dx
43
1
1
3x C
3 31 14 1
3 3C C
64 1
3 3C C
63
3 21
The constant always cancels when finding a definite integral, so we leave it out!
6.1 Antiderivatives with Slope Fields
4 2
1x dx
Integrals such as are called indefinite integrals
because we can not find a definite value for the answer.
2x dx
2x dx31
3x C
When finding indefinite integrals, we always include the “plus C”.
6.1 Antiderivatives with Slope Fields
6.1 Antiderivatives with Slope Fields
Definition Indefinite Integral
The set of all antiderivatives of a function f(x) is theindefinite integral of f with respect to x and is denoted by
dxxf )(
CxFdxxf )()(
6.1 Antiderivatives with Slope Fields
dxxn.1 1,1
1
nCn
xn
x
dx.2 Cx ln
dxex.3 Cex
dxxsin.4 Cx cos
6.1 Antiderivatives with Slope Fields
dxxcos.5
dxx2sec.6
dxx2csc.7
dxxx tansec.8
Cx sin
Cx sec
Cx cot
Cx tan
dxxx cotcsc.9 Cx csc
6.1 Antiderivatives with Slope Fields
dxxx )32( 3 Cxxx
34
24
dxxx3Cx 2
9
9
2
dttt
cos12 Ct
t sin
1
6.1 Antiderivatives with Slope Fields
dxxxx )cos(tansec Cxx sec
dxxx )cscsin1( 2 Cxx cos
dtte t )( 22 Cte t
32
32
6.1 Antiderivatives with Slope Fields
Find the position function for v(t) = t3 - 2t2 + t s(0) = 1
Cttt
ts 23
2
4)(
234
C2
)0(
3
)0(2
4
01
234C = 1
123
2
4)(
234
ttt
ts
6.1 Antiderivatives with Slope Fields
cabin
cabind )(log cabin
log cabin + C houseboat
The chain rule allows us to differentiate a wide variety of functions, but we are able to find antiderivatives for only a limited range of functions. We can sometimes use substitution to rewrite functions in a form that we can integrate.
6.2 Integration by Substitution
52x dx Let 2u x
du dx5u du61
6u C
62
6
xC
The variable of integration must match the variable in the expression.
Don’t forget to substitute the value for u back into the problem!
6.2 Integration by Substitution
21 2 x x dx One of the clues that we look for is if we can find a function and its derivative in the integrand.
The derivative of is .21 x 2 x dx1
2 u du3
22
3u C
3
2 22
13
x C
2Let 1u x 2 du x dx
Note that this only worked because of the 2x in the original.Many integrals can not be done by substitution.
6.2 Integration by Substitution
4 1 x dx Let 4 1u x
4 du dx
1
4du dx
Solve for dx.1
21
4
u du3
22 1
3 4u C
3
21
6u C
3
21
4 16
x C
6.2 Integration by Substitution
cos 7 5 x dx7 du dx
1
7du dx
1cos
7u du
1sin
7u C
1sin 7 5
7x C
Let 7 5u x
6.2 Integration by Substitution
2 3sin x x dx 3Let u x23 du x dx
21
3du x dx
We solve for because we can find it in the integrand.
2 x dx
1sin
3u du
1cos
3u C
31cos
3x C
6.2 Integration by Substitution
4sin cos x x dx Let sinu x
cos du x dx 4sin cos x x dx4 u du 51
5u C
51sin
5x C
6.2 Integration by Substitution
24
0tan sec x x dx
The technique is a little different for definite integrals.
Let tanu x2sec du x dx
0 tan 0 0u
tan 14 4
u
1
0 u du We can find
new limits, and then we don’t have to substitute back.
new limit
new limit1
2
0
1
2u
1
2We could have substituted back and used the original limits.
6.2 Integration by Substitution
24
0tan sec x x dx
Let tanu x2sec du x dx
4
0 u du
Wrong!The limits don’t match!
42
0
1tan
2x
2
21 1tan tan 0
2 4 2
2 21 11 0
2 2
u du21
2u 1
2
Using the original limits:
Leave the limits out until you substitute back. This is
usually more work than finding new limits
6.2 Integration by Substitution
1 2 3
13 x 1 x dx
3Let 1u x
23 du x dx 1 0u
1 2u 12
2
0 u du23
2
0
2
3u
Don’t forget to use the new limits.
3
22
23
22 2
3 4 2
3
6.2 Integration by Substitution
6.2 Integration by Substitution
dxxx 212
dxx 43
dttt 8235
dtttan
d cossin3
d 2csccot
6.2 Integration by Substitution
dxx
x
5
2 1
2
dxxx 2sincos4
2
xx
dxe
e ln
2
dxe
ex
x
5
5
3
1
0 xe
dx
dxxx 21
Until then, remember that half the AP exam and half the nation’s college professors do not allow calculators.
In another generation or so, we might be able to use the calculator to find all integrals.
You must practice finding integrals by hand until you are good at it!
6.2 Integration by Substitution
Start with the product rule:
d dv duuv u v
dx dx dx
d uv u dv v du
d uv v du u dv
u dv d uv v du
u dv d uv v du
u dv d uv v du
u dv uv v du This is the Integration by Parts formula.
6.3 Integrating by Parts
u dv uv v du
The Integration by Parts formula is a “product rule” for integration.
u differentiates to zero (usually).
dv is easy to integrate.
Choose u in this order: LIPET
Logs, Inverse trig, Polynomial, Exponential, Trig
6.3 Integrating by Parts
cos x x dxpolynomial factor u x
du dx
cos dv x dx
sinv x
u dv uv v du LIPET
sin cosx x x C
u v v du
sin sin x x x dx
6.3 Integrating by Parts
ln x dxlogarithmic factor lnu x
1du dx
x
dv dx
v x
u dv uv v du LIPET
lnx x x C 1ln x x x dx
x
u v v du
6.3 Integrating by Parts
This is still a product, so we need to use integration by parts again.
2 xx e dx u dv uv v du LIPET
2u x xdv e dx
2 du x dx xv e u v v du
2 2 x xx e e x dx 2 2 x xx e xe dx
u x xdv e dx
du dx xv e
2 2x x xx e xe e dx 2 2 2x x xx e xe e C
6.3 Integrating by Parts
A Shortcut: Tabular Integration
Tabular integration works for integrals of the form:
f x g x dx
where: Differentiates to zero in several steps.
Integrates repeatedly.
6.3 Integrating by Parts
Also called tic-tac-toe method
2 xx e dx & deriv.f x & integralsg x
2x
2x
2
0
xexexexe
2 xx e dx 2 xx e 2 xxe 2 xe C
Compare this with the same problem done the other way:
6.3 Integrating by Parts
3 sin x x dx 3x
23x
6x
6
sin x
cos x
sin xcos x
0
sin x
3 cosx x 2 3 sinx x 6 cosx x 6sin x + C
6.3 Integrating by Parts
cos xe x dxLIPET
sinu x xdv e dx
cos du x dx xv e
u v v du cos sin x xx e e x dx cos sin x xx e e x dx
cosu x xdv e dx
sin du x dx xv e
cos sin cos x x xx e x e e x dx This is the expression we started with!
6.3 Integrating by Parts
cos xe x dx
sinu x xdv e dxcos du x dx xv e
cos sin x xx e e x dx cos sin x xx e e x dx
cosu x xdv e dxsin du x dx xv e
cos sin cos x x xx e x e e x dx cos xe x dx 2 cos cos sinx x xe x dx x e x e
sin coscos
2
x xx x e x e
e x dx C
6.3 Integrating by Parts
6.3 Integrating by Parts
The goal of integrating by parts is to go from an integral that we don’t see how to integrate to an integral that we canevaluate.
dvu
duv
The number of rabbits in a population increases at a rate that is proportional to the number of rabbits present (at least for awhile.)
So does any population of living creatures. Other things that increase or decrease at a rate proportional to the amount present include radioactive material and money in an interest-bearing account.
If the rate of change is proportional to the amount present, the change can be modeled by: dy
kydt
6.4 Exponential Growth and Decay
dyky
dt
1 dy k dt
y
1 dy k dt
y
ln y kt C
Rate of change is proportional to the amount present.
Divide both sides by y.
Integrate both sides.
6.4 Exponential Growth and Decay
Exponentiate both sides.
When multiplying like bases, add exponents. So added exponents can be written as multiplication.
ln y kt Ce e
C kty e e
6.4 Exponential Growth and Decay
C kty e e
kty Ae Since is a constant, let .Ce Ce A
6.4 Exponential Growth and Decay
At , .0t 0y y00
ky Ae
0y A
1
0kty y e This is the solution to our
original initial value problem.
0kty y eExponential Change:
If the constant k is positive then the equation
represents growth. If k is negative then the equation represents decay.
6.4 Exponential Growth and Decay
Continuously Compounded Interest
If money is invested in a fixed-interest account where the interest is added to the account k times per year, the
amount present after t years is: 0 1kt
rA t A
k
If the money is added back more frequently, you will make a little more money.
The best you can do is if the interest is added continuously.
6.4 Exponential Growth and Decay
Of course, the bank does not employ some clerk to continuously calculate your interest with an adding machine.
We could calculate: 0lim 1kt
k
rA
k
Since the interest is proportional to the amount present, the equation becomes:
Continuously Compounded Interest:
0rtA A e
You may also use:
rtA Pe
which is the same thing.
6.4 Exponential Growth and Decay
Radioactive Decay
The equation for the amount of a radioactive element left after time t is:
The half-life is the time required for half the material to decay.
6.4 Exponential Growth and Decay
ktOeyy
Radioactive Decay
60 mg of radon, half-life of 1690 years. How much is left after 100 years?
6.4 Exponential Growth and Decay
ke16906030
ke1690
2
1
k16902
1ln
00041.k
)100)(00041.(60 ey mgy 58
ktOeyy
100 bacteria are present initially and double every 12 minutes. How long before there are 1,000,000
6.4 Exponential Growth and Decay
ke12100200
ke122
k122ln
0577.k
))(0577(.100000,000,1 te
te 0577.10000
ktOeyy
minutes159t
Half-life
0 0
1
2kty y e
1ln ln
2kte
ln1 ln 2 kt 0
ln 2 kt ln 2t
k
Half-life:
ln 2half-life
k
6.4 Exponential Growth and Decay
Espresso left in a cup will cool to the temperature of the surrounding air. The rate of cooling is proportional to the difference in temperature between the liquid and the air.
If we solve the differential equation:
s
dTk T T
dt
we get: Newton’s Law of Cooling
0kt
s sT T T T e
where is the temperature of the surrounding medium, which is a constant.
sT
6.4 Exponential Growth and Decay
Years
Bears
6.5 Population Growth
We have used the exponential growth equationto represent population growth.
0kty y e
The exponential growth equation occurs when the rate of growth is proportional to the amount present.
If we use P to represent the population, the differential equation becomes: dP
kPdt
The constant k is called the relative growth rate.
/dP dtk
P
6.5 Population Growth
The population growth model becomes: 0ktP P e
However, real-life populations do not increase forever. There is some limiting factor such as food, living space or waste disposal.
There is a maximum population, or carrying capacity, M.
6.5 Population Growth
A more realistic model is the logistic growth model where
growth rate is proportional to both the amount present (P)
and the fraction of the carrying capacity that remains: M P
M
6.5 Population Growth
The equation then becomes: dP M PkP
dt M
Our book writes it this way:Logistics Differential Equation
dP kP M P
dt M
We can solve this differential equation to find the logistics growth model.
6.5 Population Growth
PartialFractions
Logistics Differential Equation
dP kP M P
dt M
1 k
dP dtP M P M
1 A B
P M P P M P
1 A M P BP
1 AM AP BP
1 AM
1A
M
0 AP BP
AP BPA B1
BM
1 1 1 kdP dt
M P M P M
ln lnP M P kt C
lnP
kt CM P
6.5 Population Growth
Logistics Differential Equation
dP kP M P
dt M
1 k
dP dtP M P M
1 1 1 kdP dt
M P M P M
ln lnP M P kt C
lnP
kt CM P
kt CPe
M P
kt CM Pe
P
1 kt CMe
P
1 kt CMe
P
6.5 Population Growth
Logistics Differential Equation
kt CPe
M P
kt CM Pe
P
1 kt CMe
P
1 kt CMe
P
1 kt C
MP
e
1 C kt
MP
e e
CLet A e
1 kt
MP
Ae
6.5 Population Growth
Logistics Growth Model
1 kt
MP
Ae
6.5 Population Growth
Logistic Growth Model
Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.
Assuming a logistic growth model, when will the bear population reach 50? 75? 100?
6.5 Population Growth
Ten grizzly bears were introduced to a national park 10 years ago. There are 23 bears in the park at the present time. The park can support a maximum of 100 bears.
Assuming a logistic growth model, when will the bear population reach 50? 75? 100?
1 kt
MP
Ae 100M 0 10P 10 23P
6.5 Population Growth
1 kt
MP
Ae 100M 0 10P 10 23P
0
10010
1 Ae
10010
1 A
10 10 100A
10 90A
9A
At time zero, the population is 10.
100
1 9 ktP
e
6.5 Population Growth
1 kt
MP
Ae 100M 0 10P 10 23P
After 10 years, the population is 23.
100
1 9 ktP
e
10
10023
1 9 ke
10 1001 9
23ke
10 779
23ke
10 0.371981ke
10 0.988913k
0.098891k
0.1
100
1 9 tP
e
6.5 Population Growth
0.1
100
1 9 tP
e
Years
BearsWe can graph this equation and use “trace” to find the solutions.
y=50 at 22 years y=75 at 33 years y=100 at 75 years
6.5 Population Growth
Leonhard Euler 1707 - 1783
Leonhard Euler made a huge number of contributions to mathematics, almost half after he was totally blind.
(When this portrait was made he had already lost most of the sight in his right eye.)
6.6 Euler’s Method
Leonhard Euler 1707 - 1783
It was Euler who originated the following notations:
e (base of natural log)
f x (function notation)
(pi)
i 1
(summation)y (finite change)
6.6 Euler’s Method
There are many differential equations that can not be solved.We can still find an approximate solution.
We will practice with an easy one that can be solved.
2dy
xdx
Initial value: 0 1y
6.6 Euler’s Method
Recall the formula for local linearization
6.6 Euler’s Method
dxxyxyxL )(')()( 00
dxyxfyy ),( 0001 where ),( yxfdx
dy
2dy
xdx
0 1y 0.5dx
6.6 Euler’s Method
dxyxfyy ),( 0001
1)5)(.0(11 y
(0,1)
(.5,1)
dxyxfyy ),( 1112
5.1)5)(.1(12 y (1,1.5)
6.6 Euler’s Method
5.2)5)(.2(5.13 y
dxyxfyy ),( 2223
(1.5,2.5)
dxyxfyy ),( 3334
4)5)(.3(5.24 y (2,4)
2dy
xdx
0,1 0.5dx
2 dy x dx 2y x C
1 0 C 2 1y x
Exact Solution:
6.6 Euler’s Method
It is more accurate if a smaller value is used for dx.
This is called Euler’s Method.
It gets less accurate as you move away from the initial value.
6.6 Euler’s Method
The book refers to an “Improved Euler’s Method”. We will not be using it, and you do not need to know it.
The calculator also contains a similar but more complicated (and more accurate) formula called the Runge-Kutta method.
You don’t need to know anything about it other than the fact that it is used more often in real life.
This is the RK solution method on your calculator.
6.6 Euler’s Method