- •CONTENTS
- •Preface
- •To the Student
- •Diagnostic Tests
- •1.1 Four Ways to Represent a Function
- •1.2 Mathematical Models: A Catalog of Essential Functions
- •1.3 New Functions from Old Functions
- •1.4 Graphing Calculators and Computers
- •1.6 Inverse Functions and Logarithms
- •Review
- •2.1 The Tangent and Velocity Problems
- •2.2 The Limit of a Function
- •2.3 Calculating Limits Using the Limit Laws
- •2.4 The Precise Definition of a Limit
- •2.5 Continuity
- •2.6 Limits at Infinity; Horizontal Asymptotes
- •2.7 Derivatives and Rates of Change
- •Review
- •3.2 The Product and Quotient Rules
- •3.3 Derivatives of Trigonometric Functions
- •3.4 The Chain Rule
- •3.5 Implicit Differentiation
- •3.6 Derivatives of Logarithmic Functions
- •3.7 Rates of Change in the Natural and Social Sciences
- •3.8 Exponential Growth and Decay
- •3.9 Related Rates
- •3.10 Linear Approximations and Differentials
- •3.11 Hyperbolic Functions
- •Review
- •4.1 Maximum and Minimum Values
- •4.2 The Mean Value Theorem
- •4.3 How Derivatives Affect the Shape of a Graph
- •4.5 Summary of Curve Sketching
- •4.7 Optimization Problems
- •Review
- •5 INTEGRALS
- •5.1 Areas and Distances
- •5.2 The Definite Integral
- •5.3 The Fundamental Theorem of Calculus
- •5.4 Indefinite Integrals and the Net Change Theorem
- •5.5 The Substitution Rule
- •6.1 Areas between Curves
- •6.2 Volumes
- •6.3 Volumes by Cylindrical Shells
- •6.4 Work
- •6.5 Average Value of a Function
- •Review
- •7.1 Integration by Parts
- •7.2 Trigonometric Integrals
- •7.3 Trigonometric Substitution
- •7.4 Integration of Rational Functions by Partial Fractions
- •7.5 Strategy for Integration
- •7.6 Integration Using Tables and Computer Algebra Systems
- •7.7 Approximate Integration
- •7.8 Improper Integrals
- •Review
- •8.1 Arc Length
- •8.2 Area of a Surface of Revolution
- •8.3 Applications to Physics and Engineering
- •8.4 Applications to Economics and Biology
- •8.5 Probability
- •Review
- •9.1 Modeling with Differential Equations
- •9.2 Direction Fields and Euler’s Method
- •9.3 Separable Equations
- •9.4 Models for Population Growth
- •9.5 Linear Equations
- •9.6 Predator-Prey Systems
- •Review
- •10.1 Curves Defined by Parametric Equations
- •10.2 Calculus with Parametric Curves
- •10.3 Polar Coordinates
- •10.4 Areas and Lengths in Polar Coordinates
- •10.5 Conic Sections
- •10.6 Conic Sections in Polar Coordinates
- •Review
- •11.1 Sequences
- •11.2 Series
- •11.3 The Integral Test and Estimates of Sums
- •11.4 The Comparison Tests
- •11.5 Alternating Series
- •11.6 Absolute Convergence and the Ratio and Root Tests
- •11.7 Strategy for Testing Series
- •11.8 Power Series
- •11.9 Representations of Functions as Power Series
- •11.10 Taylor and Maclaurin Series
- •11.11 Applications of Taylor Polynomials
- •Review
- •APPENDIXES
- •A Numbers, Inequalities, and Absolute Values
- •B Coordinate Geometry and Lines
- •E Sigma Notation
- •F Proofs of Theorems
- •G The Logarithm Defined as an Integral
- •INDEX
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47.Prove the formula for the sum of a finite geometric series with first term a and common ratio r 1:
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APPENDIX F PROOFS OF THEOREMS |||| A39 |
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F PROOFS OF THEOREMS
In this appendix we present proofs of several theorems that are stated in the main body of the text. The sections in which they occur are indicated in the margin.
SECTION 2.3 |
LIMIT LAWS |
Suppose that c is a constant and the limits |
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exist. Then |
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1. |
lim f x t x L M |
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lim f x t x L M |
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3. |
lim cf x cL |
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lim f x t x LM |
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PROOF OF LAW 4 Let 0 be given. We want to find 0 such that
if 0 x a |
then f x t x LM |
In order to get terms that contain f x L and t x M , we add and subtract Lt x as follows:
f x t x LM f x t x Lt x Lt x LM
f x L t x L t x M
f x L t x L t x M (Triangle Inequality)
f x L t x L t x M
We want to make each of these terms less than 2.
Since limx la t x M, there is a number 1 0 such that
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0 x a
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then t x M |
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Also, there is a number
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0 such that if 0 x a
2, then
t x M 1
and therefore
t x t x M M t x M M 1 M
A40 |||| APPENDIX F PROOFS OF THEOREMS
Since limx la f x
L, there is a number
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f x L |
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f x t x LM f x L t x L t x M |
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(1 M ) L |
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PROOF OF LAW 3 If we take t x c in Law 4, we get |
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lim cf x lim t x f x lim t x lim f x |
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lim c lim f x |
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PROOF OF LAW 2 Using Law 1 and Law 3 with c 1, we have |
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PROOF OF LAW 5 First let us show that |
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lim |
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0 such that
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denominator is not small when x is near a. Since limx la t x M, there is a number |
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and therefore M M t x t x M t x t x
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APPENDIX F PROOFS OF THEOREMS |||| A41
This shows that
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and so, for these values of x, |
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Also, there exists 2 0 such that |
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t x M M22
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It follows that limx la 1 t x 1 M. Finally, using Law 4, we obtain |
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2 THEOREM |
If f x t x for all x in an open interval that contains a (except |
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possibly at a) and |
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lim f x L |
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lim t x M |
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then L M. |
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PROOF We use the method of proof by contradiction. Suppose, if possible, that L M. Law 2 of limits says that
lim t x f x M L
x la
Therefore, for any 0, there exists 0 such that
if 0 x a |
then t x f x M L |
In particular, taking L M (noting that L M 0 by hypothesis), we have a number 0 such that
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0 x a |
then |
t x f x M L L M |
Since a a for any number a, we have |
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if |
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t x f x M L L M |
which simplifies to
if
0 x a
then t x f x
But this contradicts f x t x . Thus the inequality L M must be false. Therefore |
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A42 |||| APPENDIX F PROOFS OF THEOREMS
3 THE SQUEEZE THEOREM |
If f x t x h x for all x in an open interval that |
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lim f x lim h x L |
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x la |
x la |
then |
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lim t x L |
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x la |
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PROOF Let
that is,
if
0 be given. Since limx la f x L, there is a number 1 0 such that
if 0 x a 1 |
then |
f x L |
0 x a 1 |
then |
L f x L |
Since limx la h x
if
L, there is a number
0 x a
2
2 0 such that
then h x L
that is,
if
0 x a
2
then L h x L
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Let |
min 1, 2 . If 0 x a , then 0 x a 1 and 0 x a |
2, |
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so |
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L f x t x h x L |
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In particular, |
L t x L |
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and so t x L . Therefore limx la t x L. |
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SECTION 2.5 |
THEOREM |
If f is a one-to-one continuous function defined on an interval a, b , |
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then its inverse function f 1 is also continuous. |
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PROOF |
First we show that if f is both one-to-one and continuous on a, b , then it must |
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be either increasing or decreasing on a, b . If it were neither increasing nor decreasing, |
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then there would exist numbers x1, x2, and x3 in a, b with x1 x2 x3 such that f x2 |
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does not lie between f x1 and f x3 . There are two possibilities: either (1) f x3 lies |
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between f x1 and f x2 or (2) f x1 lies between f x2 and f x3 . (Draw a picture.) In |
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case (1) we apply the Intermediate Value Theorem to the continuous function f to get a |
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number c between x1 and x2 such that f c f x3 . In case (2) the Intermediate Value |
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Theorem gives a number c between x2 and x3 such that f c f x1 . In either case we |
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have contradicted the fact that f is one-to-one. |
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Let us assume, for the sake of definiteness, that f is increasing on a, b . We take any |
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number y0 in the domain of f 1 and we let f 1 y0 x0; that is, x0 is the number in |
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a, b such that f x0 y0. To show that f 1 is continuous at y0 we take any 0 such |
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that the interval x0 , x0 is contained in the interval a, b . Since f is increasing, |
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it maps the numbers in the interval x0 , x0 onto the numbers in the interval |
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f x0 , f x0 and f 1 reverses the correspondence. If we let denote the |
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smaller of the numbers 1 y0 f x0 and 2 f x0 y0, then the interval |
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, y0 is contained in the interval f x0 , f x0 and so is mapped |
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into the interval x0 , x0 by f 1. (See the arrow diagram in Figure 1.) We have |
APPENDIX F PROOFS OF THEOREMS |||| A43
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therefore found a number 0 such that |
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if |
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then |
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f(x¸-∑) |
y¸ |
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∂¡ |
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f |
f–! |
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FIGURE 1 |
a |
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f 1 y f 1 y0
f(x¸+∑)
}
y
∂™
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This shows that limy l y0 |
f 1 y f 1 y0 and so f 1 is continuous at any number y0 in |
its domain. |
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8 THEOREM If f is continuous at
lim
x la
b and limx la t x b, then f t x f b
SECTION 3.3
PROOF Let 0 be given. We want to find a number 0 such that
if |
0 x a |
then |
f t x f b |
Since f is continuous at b, we have |
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lim f y f b |
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y lb |
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and so there exists |
1 0 such that |
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if |
0 y b 1 |
then |
f y f b |
Since limx la t x b, there exists 0 such that |
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if |
0 x a |
then |
t x b 1 |
Combining these two statements, we see that whenever 0 x a
t x b 1, which implies that f t x f b . Therefore we that limx la f t x f b .
The proof of the following result was promised when we proved that lim
l0
we have have proved
M
sin |
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THEOREM If 0 2, then tan .
PROOF Figure 2 shows a sector of a circle with center O, central angle , and radius 1. Then
AD OA tan tan
We approximate the arc AB by an inscribed polygon consisting of n equal line segments
A44 |||| APPENDIX F PROOFS OF THEOREMS
Dand we look at a typical segment PQ. We extend the lines OP and OQ to meet AD in the points R and S. Then we draw RT PQ as in Figure 2. Observe that
B
S
T
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°°R P
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A |
FIGURE 2
SECTION 4.3
y y=ƒ
ƒf(a)+fª(a)(x-a)
0 |
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FIGURE 3
RTO PQO 90
and so RTS 90 . Therefore we have
PQ RT RS
If we add n such inequalities, we get
Ln AD tan
where Ln is the length of the inscribed polygon. Thus, by Theorem 2.3.2, we have
lim Ln tan
n l
But the arc length is defined in Equation 8.1.1 as the limit of the lengths of inscribed polygons, so
lim Ln tan |
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CONCAVITY TEST
(a)If f x 0 for all x in I, then the graph of f is concave upward on I.
(b)If f x 0 for all x in I, then the graph of f is concave downward on I.
PROOF OF (a) Let a be any number in I. We must show that the curve y f x lies above the tangent line at the point a, f a . The equation of this tangent is
y f a f a x a
So we must show that
f x f a f a x a
whenever x I x a . (See Figure 3.)
First let us take the case where x a. Applying the Mean Value Theorem to f on the interval a, x , we get a number c, with a c x, such that
1 |
f x f a f c x a |
Since f 0 on I, we know from the Increasing/Decreasing Test that f is increasing on I. Thus, since a c, we have
f a f c
and so, multiplying this inequality by the positive number x a, we get
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f a x a f c x a |
SECTION 4.4
N See the biographical sketch of Cauchy on page 113.
APPENDIX F PROOFS OF THEOREMS |||| A45
Now we add f a to both sides of this inequality:
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But from Equation 1 we have f x f a f c x a . So this inequality becomes |
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f x f a f a x a |
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which is what we wanted to prove. |
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For the case where x a we have f c f a , but multiplication by the negative |
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number x a reverses the inequality, so we get (2) and (3) as before. |
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In order to give the promised proof of l’Hospital’s Rule, we first need a generalization of the Mean Value Theorem. The following theorem is named after another French mathematician, Augustin-Louis Cauchy (1789–1857).
1 CAUCHY’S MEAN VALUE THEOREM Suppose that the functions f and t are continuous on a, b and differentiable on a, b , and t x 0 for all x in a, b . Then there is a number c in a, b such that
f c f b f a t c t b t a
Notice that if we take the special case in which t x x, then t c 1 and Theorem 1 is just the ordinary Mean Value Theorem. Furthermore, Theorem 1 can be proved in a similar manner. You can verify that all we have to do is change the function h given by Equation 4.2.4 to the function
h x f x f a |
f b f a |
t x t a |
t b t a |
and apply Rolle’s Theorem as before.
L’HOSPITAL’S RULE Suppose f and t are differentiable and t x 0 on an open interval I that contains a (except possibly at a). Suppose that
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or that |
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(In other words, we have an indeterminate form of type 00 or .) Then
lim |
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lim |
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x la t x |
if the limit on the right side exists (or is or ).
A46 |||| APPENDIX F PROOFS OF THEOREMS
PROOF OF L’HOSPITAL’S RULE We are assuming that limx la f x 0 and limx la t x 0.
Let
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fore, by Cauchy’s Mean Value Theorem, there is a number y such that a y x and |
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SECTION 11.8 |
In order to prove Theorem 11.8.3, we first need the following results. |
THEOREM
1.If a power series cn xn converges when x b (where b 0), then it converges whenever x b .
2.If a power series cn xn diverges when x d (where d 0), then it diverges whenever x d .
APPENDIX F PROOFS OF THEOREMS |||| A47
Suppose that cnbn converges. Then, by Theorem 11.2.6, we have
limn l cnbn 0. According to Definition 11.1.2 with 1, there is a positive integer N such that cnbn 1 whenever n N. Thus, for n N, we have
cn xn cnbbnnxn cnbn bx n bx n
If x b , then x b 1, so x b n is a convergent geometric series. Therefore, |
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by the Comparison Test, the series n N cn xn is convergent. Thus the series |
cn xn is |
absolutely convergent and therefore convergent. |
M |
PROOF OF 2 Suppose that cndn diverges. If x is any number such that x d , then |
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cn xn cannot converge because, by part 1, the convergence of cn xn would imply the |
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convergence of cndn. Therefore |
cn xn diverges whenever x d . |
M |
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THEOREM For a power series |
cn xn there are only three possibilities: |
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1.The series converges only when x 0.
2.The series converges for all x.
3.There is a positive number R such that the series converges if x R and diverges if x R.
PROOF Suppose that neither case 1 nor case 2 is true. Then there are nonzero numbers b and d such that cn xn converges for x b and diverges for x d. Therefore the set
S x cn xn converges is not empty. By the preceding theorem, the series diverges ifx d , so x d for all x S. This says that d is an upper bound for the set S.
Thus, by the Completeness Axiom (see Section 11.1), S has a least upper bound R. If |
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x R, then x S, so cnxn diverges. If x R, then x is not an upper bound for |
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S and so there exists b S such that b x . Since b S, |
cnbn converges, so by the |
preceding theorem cn xn converges. |
M |
3THEOREM For a power series cn x a n there are only three possibilities:
1.The series converges only when x a.
2.The series converges for all x.
3.There is a positive number R such that the series converges if x a R and diverges if x a R.
PROOF If we make the change of variable u x a, then the power series becomes |
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cnun and we can apply the preceding theorem to this series. In case 3 we have con- |
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vergence for u R and divergence for |
u R. Thus we have convergence for |
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x a R and divergence for x a |
R. |
M |