Title: Chapter 7 Infinite Sequences and Series
1Chapter 7 Infinite Sequences and Series
27.1 Sequences
- A sequence is a list of numbers a1, a2, a3, ,
an, in a given order. - Each of a1, a2, a3 and so on represents a
number. These are the terms of the - sequence.
- The integer n is called the index of an, and
indicates where an occurs in the list. - Order is important.
- We can think of sequence a1, a2, a3, , anas a
function that sends 1 to a1, 2 to a2, - 3 to a3, and in general sends the positive
integer n to the nth term an.
For example, the function associated with the
sequence 2, 4, 6, 8, , 2n, sends 1 to a12, 2
to a24, and so on. The general behavior of the
sequence is described by the formula an2n.
3Remarks
- We can equally well make the domain the integers
larger than a given number n0 (may gt1), and we
allow the sequence of this type also. - 2. Sequences can be described by writing rules
that specify their terms, such as - or by listing terms,
We also sometimes write
4Graphically Represent Sequences
5Convergence and Divergence
Sometimes the numbers in a sequence approach a
single value as the index n Increases. For
example, an1/n whose terms approach 0 as n gets
large, or an1-1/n approach 1 as n gets
large. On the other hand, some sequences like
an(-1)n1n bounce back and forth Between 1 and
-1, never converging to a single value.
6This definition is very similar to the
Definition of the limit of a function f(x) as x
tends to ?
7Examples
any constant k.
8Diverges to Infinity
The sequence also diverges, because
The sequence 1, 02, 3, -4, 5, -6, 7, -8, and
1, 0, 2, 0, 3, 0, are examples of such
divergence.
9Calculating Limits of Sequences
Since sequences are functions with domain
restricted to the positive integers, we have
10Remark
- Theorem 1 does not say that, for example, that if
the sum an bn - has a limit, then each of the sequences an
and bn have limits. - One consequence of Theorem 1 is that every
nonzero multiple of a - divergent sequence an diverges.
11Examples
12Sandwich Theorem for Sequences
An immediate consequence of Theorem 2 is that ,
if bn?cn and cn?0, then bn ? 0 because cn ? bn
? cn, we use this fact in the next example.
13Examples
14Continuous Function Theorem for Sequences
Example Show that
15Example
16Using LHopitals Rule
17Commonly Occuring Limits
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19Examples
20Recursive Definitions
- So far, we have calculated each an directly from
the value of n. But sequences are often defined
recursively by giving - The values (s) of the initial term or terms, and
- A rule, called a recursion formula, for
calculating any later term from terms that
precede it. - Example
- The statement a11, and anan-11 define the
sequences of positive integers. - The statement a11, a21, and an1anan-1
defines the sequence of Fibonacci numbers.
21Nondecreasing Sequences
- Example The following sequences are
nondecreasing - The sequence 1, 2, 3, , n, of natural numbers
- The sequence ½, 2/3, ¾, , n/(n1),
- The constant sequence 3.
22Bounded Nondecreasing Sequences
Here are two kinds of nondecreasing
sequencesthose whose terms increase beyond any
finite bound and those whose terms do not.
- Examples
- The sequence 1, 2, 3, , n has no upper bound.
- The sequence ½, 2/3, 34, , n/(n1), , is
bounded above by M1. 1 is also - the least upper bound.
23A nondecreasing sequence that is bounded from
above always has a least upper Bound. We also
prove that if L is the least upper bound then the
sequence converges to L.
24The Nondecreasing Sequenc Theorem.
Theorem 6 implies that a nondecreasing sequence
converges when it is bounded from above. It
diverges to infinity if it is non bounded from
above. The analogous results hold for
nonincreasing sequences.
257.2 Infinite Series
An infinite series is the sum of an infinite
sequence of numbers. a1a2a3an The goal of
this section is to understand the meaning of such
an infinite sum and to develop methods to
calculate it. The sum of the first n terms sn
a1a2a3an is an ordinary finite sum, is
called The nth partial sum. As n gets larger, we
expect the nth partial sums to get closer and
closer to a limiting value in the same sense that
the terms of a sequence approach a limit.
26Example
For example, to assign meaning to an expression
like 11/21/41/81/16 We add the terms one at
a time from the beginning and look for a pattern
in how These partial sums grow.
27The partial sums form a sequence whose nth term
is The sequence of partial sums converges to 2
because . We
say the sum of the infinite series
11/21/41/2n-1 is 2.
28Note it is convenient to use sigma notation to
write the series.
29Geometric Series
Geometric series are series of the form In which
a and r are fixed real numbers and a?0. The
series can also be written as . The
ratio r can be positive, or negative.
The formula a/(1-r) for the sum of a geometric
series applies only when the summation index
begins with n1 in ( or with n0 in
).
30Examples
Example The series
converges.
31Examples
- Example Find the sum of the series
32Divergent Series
One reason that a series may fail to converge is
that its terms dont become small. Example The
series diverges because the partial
sums eventually outgrow Every preassigned number.
Each term is greater than 1, so the sum of n
terms is greater than n.
33Examples
Example
Example The series 11/21/21/41/41/41/4,
1/2n1/2n1/2n This diverges, however, the
terms of the series form a sequence that
converges to 0.
34Combining Series
Note ?(anbn) can converge when ?an and ?bn both
diverge.
35Examples
36Remarks
- We can add a finite number of terms to a series
or delete a finite number of terms without
altering the series convergence or divergence,
although in the case of the convergence this will
usually change the sum. - As long as we preserve the order of its term, we
can reindex any series without altering its
convergence.
377.3 The Integral Test
- Given a series, we want to know whether it
converges or not. In this section and the next
two, we study series with nonnegative terms. - Since the partial sums from a nondecreasing
sequence, the Nondecreasing Sequence Theorem tell
us the following
38Example
- The series
is called the harmonic series. - The harmonic series is divergent, but this
doesnt follow from the nthTerm Test. - The reason it diverges is because there is no
upper bound for its partial sums.
39Example
Example Does the following series converge?
40The Integral Test
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43Error Estimation
If a series ?an is shown to be convergent by the
integral test, we may want to estimate the size
of the remainder Rn between the total sum S of
the series and its nth partial sum sn.
If we add the partial sum sn to each side of the
inequality in (1), we get
447.4 Comparison Tests
We have seen how to determine the convergence of
geometric series, p-series, and a few others. We
can test the convergence of many more series by
comparing Their terms to those of a series whose
convergence is known.
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46The Limit Comparison Test
We now introduce a comparison test that is
particularly useful for series in which an is a
ration function of n.
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48Example Cont.
497.5 The Ratio and Root Tests
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51The Root Test
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537.6 Alternating Series, Absolute and Conditional
Convergence
A series in which the terms are alternately
positive and negative is an alternating Series.
For example
- Series (1), called the alternating harmonic
series, converges. - Series (2), a geometric series with ratio r-1/2,
converges. - Series (3) diverges because the nth term does not
approach zero.
(1)
(2)
(3)
54Alternating Series Test
Example The alternating harmonic series
converges by Theorem 14.
55Graphical Interpretation of the Partial Sums
56The Alternating Series Estimation Theorem
57Example
58Absolute and Conditional Convergence
The geometric series in Example 2 converges
absolutely, while the alternating harmonic
series does not converge absolutely.
The alternating harmonic series converges
conditionally.
59The Absolute Convergence Test
Absolute convergence is important for two
reasons. First, we have good tests for
convergence of series of positive terms. Second,
if a series converges absolutely, then it
converges, as we now prove.
Note we can rephrase Theorem 16 to say that
every absolutely convergent series Converges.
However, the converse statement is false Many
convergent series do not converge absolutely
(such as the alternating harmonic series).
60Examples
61Examples
62Rearranging Series
If we rearrange the terms of a conditionally
convergent series, we get different Results. In
fact, it can be proved that for any real number
r, a given conditionally Convergent series can
be rearranged so its sum is equal to r. So we
must always Add the terms of a conditionally
convergent series in the order given.
63Summary
647.7 Power Series
Now that we can test infinite series for
convergence, we can study sums that look Like
infinite polynomials. We call these sums poewr
series because they are defined As infinite
series of powers of some variable, in our case x.
Equation (1) is the special case obtained by
taking a0 in Equation (2).
65Example
66We now think of the partial sums of the series on
the right as polynomials Pn(x) that approximate
the function on the left.
The figure left shows the graph of f(x), and the
approximating polynomials ynPn(x) for n0, 1, 2,
and 8.
67Example
The power series
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70The convergence Theorem for Power Series
The next result shows that if a power series
converges at more than one value, Then it
converges over an entire interval of values.
71Corollary
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73The Term-by-Term Differentiation Theorem
74Examples
75The Term-by-Term Integration Theorem
76Examples
77Examples
78The Series Multiplication Theorem for Power Series
797.8 Taylor and Maclaurin Series
- This section shows how functions that are
infinitely differentiable generate power series
called Taylor series. - Q If a function f(x) has derivatives of all
orders on an interval I, can it be expressed as a
power series on I? And if it can, what will its
coefficients be?
80The Maclaurin series generated by f is often just
called the Taylor series of f.
81Examples
- Find the Taylor series generated by f(x)1/x at
a2. Where, if anywhere, does the series converge
to 1/x?
82Taylor Polynomials
The higher-order Taylor polynomials provide the
best polynomial approximations of their
respective degrees.
83Examples
- Find the Taylor series and the Taylor polynomials
generated by f(x)ex at x0.
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867.10 The Bionomial Series
This section introduces the binomial series for
estimating powers and roots of binomial Expression
s (1x)m.
87Examples
- Let m-1, the binomial series formula gives the
familiar geometric series - (1x)-1 1 x x2 - x3 (-1)kxk
88Examples