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March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives; Differential Equations Definition: A function F is called an antiderivative of f on an interval I if F 0 (x )= f (x ) for all x in I . As a consequence of the Mean Value Theorem, we have ... Theorem: If F is any antiderivative of f on an interval I , then the most general antiderivative of f on I is F (x )+ C where C is an arbitrary constant. March 28, 2017 1 / 41

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Page 1: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

March 28 Math 1190 sec. 63 Spring 2017

Section 4.8: Antiderivatives; Differential Equations

Definition: A function F is called an antiderivative of f on an interval Iif

F ′(x) = f (x) for all x in I.

As a consequence of the Mean Value Theorem, we have ...

Theorem: If F is any antiderivative of f on an interval I, then the mostgeneral antiderivative of f on I is

F (x) + C where C is an arbitrary constant.

March 28, 2017 1 / 41

Page 2: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Find the most general antiderivative of f .

f (x) =4x4 + 1

x, I = (0,∞)

March 28, 2017 2 / 41

Page 3: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Question: Find the most general antiderivative of f .

f (x) =3x − 1

x, I = (0,∞)

(a) F (x) =3x2

2 − xx2

2

+C

(b) F (x) =1x2 +C

(c) F (x) = 3x−ln x+C

March 28, 2017 3 / 41

Page 4: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Find the most general antiderivative of

f (x) = xn, where n = 1,2,3, . . .

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Page 5: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

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Page 6: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Some general results1:

(See the table on page 330 in Sullivan & Miranda for a morecomprehensive list.)

Function Particular Antiderivative Function Particular Antiderivative

cf (x) cF (x) cos x sin x

f (x) + g(x) F (x) + G(x) sin x − cos x

xn, n 6= −1 xn+1

n+1 sec2 x tan x

1x ln |x | csc x cot x − csc x

1x2+1 tan−1 x 1√

1−x2sin−1 x

1We’ll use the term particular antiderivative to refer to any antiderivative that has noarbitrary constant in it.

March 28, 2017 6 / 41

Page 7: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Example

Find the most general antiderivative of h(x) = x√

x on (0,∞).

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Page 8: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

ExampleDetermine the function H(x) that satisfies the following conditions

H ′(x) = x√

x , for all x > 0, and H(1) = 0.

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Page 9: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Example

A differential equation is an equation that involves the derivative(s) ofan unknown function. Solving such an equation would mean findingsuch an unknown function.

For example, we just solved the differential equation

dHdx

= x√

x

subject to the additional condition that H = 0 when x = 1.

The condition H(1) = 0 is usually called an initial condition if xrepresents time. It may be called a boundary condition if xrepresents space.

March 28, 2017 9 / 41

Page 10: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Question

The most general solution to the differential equation

dydx

= 2x + 1 is

(a) y = 2x + 1 + C

(b) y = x2 + 1 + C

(c) y = x2 + x

(d) y = x2 + x + C

March 28, 2017 10 / 41

Page 11: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

QuestionThe solution to the differential equation subject to the boundarycondition

dydx

= 2x + 1 y(1) = −2

(a) y = x2 + x − 2

(b) y = x2 + x − 4

(c) y = x2 + x

(d) y = x2 + x + C − 2

March 28, 2017 11 / 41

Page 12: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

ExampleA particle moves along the x-axis so that its acceleration at time t isgiven by

a(t) = 12t − 2 m/sec2.

At time t = 0, the velocity v and position s of the particle are known tobe

v(0) = 3 m/sec, and s(0) = 4 m.

Find the position s(t) of the particle for all t > 0.

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Page 13: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

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Page 14: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

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Page 15: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Section 5.1: Area (under the graph of a nonnegativefunction)

We will investigate the area enclosed by the graph of a function f . We’llmake the following assumptions (for now):

I f is continuous on the interval [a,b], and

I f is nonnegative, i.e f (x) ≥ 0, on [a,b].

Our Goal: Find the area of such a region.

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Page 16: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Figure: Region under a positive curve y = f (x) on an interval [a,b].

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Page 17: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Figure: We could approximate the area by filling the space with rectangles.

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Page 18: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Figure: We could approximate the area by filling the space with rectangles.

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Page 19: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Figure: Some choices as to how to define the heights.

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Page 20: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Approximating Area Using Rectangles

We can experiment withI Which points to use for the heights (left, right, middle, other....)

I How many rectangles we use

to try to get a good approximation.

Definition: We will define the true area to be value we obtain takingthe limit as the number of rectangles goes to +∞.

March 28, 2017 20 / 41

Page 21: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Some terminologyI A Partition P of an interval [a,b] is a collection of points{x0, x1, ..., xn} such that

a = x0 < x1 < x2 < · · · < xn = b.

I A Subinterval is one of the intervals xi−1 ≤ x ≤ xi determined bya partition.

I The width of a subinterval is denoted ∆xi = xi − xi−1. If they areall the same size (equal spacing), then

∆x =b − a

n, and this is called the norm of the partition.

I A set of sample points is a set {c1, c2, . . . , cn} such thatxi−1 ≤ ci ≤ xi .

Taking the number of rectangles to∞ is the same as taking the width∆x → 0.

March 28, 2017 21 / 41

Page 22: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Example:Write an equally spaced partition of the interval [0,2] with the specifiednumber of subintervals, and determine the norm ∆x .

(a) For n = 4

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Page 23: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Example:Write an equally spaced partition of the interval [0,2] with the specifiednumber of subintervals, and determine the norm ∆x .

(b) For n = 8

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Page 24: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Question

Write an equally spaced partition of the interval [0,2] with 6subintervals, and determine the norm ∆x .

(a){

0, 13 ,

23 ,1,

43 ,

53 ,2}

∆x = 13

(b){

0, 13 ,

23 ,1,

43 ,

53 ,2}

∆x = 16

(c){

0, 16 ,

13 ,1,

56 ,

76 ,2}

∆x = 13

March 28, 2017 24 / 41

Page 25: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

(c) Find an equally spaced partition of [0,2] having N subintervals.What is the norm ∆x?

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Page 26: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Approximating area with a Partition and sample points

Figure: Area = f (c1)∆x + f (c2)∆x + f (c3)∆x + f (c4)∆x . This can be writtenas ∑n

i=1 f (ci )∆x .

March 28, 2017 26 / 41

Page 27: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Sum Notation∑is the capital letter sigma, basically a capital Greek ”S”.

If a1, a2, . . . ,an are a collection of real numbers, thenn∑

i=1

ai = a1 + a2 + · · ·+ an.

This is read as

the sum from i equals 1 to n of ai (a sub i).

For example4∑

i=1

i =

3∑i=1

2i2 =

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Page 28: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

In general, an equally spaced partition of [a,b] with n subintervalsmeans

I ∆x = b−an

I x0 = a, x1 = a + ∆x , x2 = a + 2∆x , i.e. xi = a + i∆xI Taking heights to be

left ends ci = xi−1 area ≈n∑

i=1

f (xi−1)∆x

right ends ci = xi area ≈n∑

i=1

f (xi)∆x

I The true area exists (for f continuous) and is given by

limn→∞

n∑i=1

f (ci)∆x .

March 28, 2017 28 / 41

Page 29: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Lower and Upper Sums

The standard way to set up these sums is to take ci such that

f (ci) is the abs. minimum value of f on [xi−1, xi ]

Then set AL

AL = limn→∞

n∑i=1

f (ci)∆x .

This is called a Lower Riemann sum.

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Page 30: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Lower and Upper Sums

Then, we take Ci such that

f (Ci) is the abs. maximum value of f on [xi−1, xi ]

Then set AU

AU = limn→∞

n∑i=1

f (Ci)∆x .

This is called a Upper Riemann sum.

March 28, 2017 30 / 41

Page 31: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Lower and Upper Sums

If f is continuous on [a,b], then it will necessarily be that

AL = AU .

This value is the true area.

In practice, these are tough to compute unless f is only increasing oronly decreasing. So instead, we tend to use left and right sums.

March 28, 2017 31 / 41

Page 32: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

Example: Find the area under the curve f (x) = 1− x2,0 ≤ x ≤ 1.Use right end points ci = xi and assume the following identity

n∑i=1

i2 =2n3 + 3n2 + n

6(sum of first n squares)

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Page 33: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

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Page 36: March 28 Math 1190 sec. 63 Spring 2017 - KSU | Faculty Webfacultyweb.kennesaw.edu/lritter/Mar28_1190_63_Sp17f.pdf · March 28 Math 1190 sec. 63 Spring 2017 Section 4.8: Antiderivatives;

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