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Infinite Series

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Infinite Series Dr. Ching I Chen 9.1 Power Series (1) Geometric Series 9.1 Power Series (2) Geometric Series The Partial sums of the series form a sequence ( s1, s2 ... – PowerPoint PPT presentation

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Title: Infinite Series


1
Infinite Series
  • Dr. Ching I Chen

2
9.1 Power Series (1)Geometric Series
Example
3
9.1 Power Series (2)Geometric Series
  • The Partial sums of the series form a sequence
  • ( s1, s2, s3, s4, )

of real numbers, each defined as a finite sum.
4
9.1 Power Series (3)Geometric Series
Example
5
9.1 Power Series (4)Geometric Series
6
9.1 Power Series (5, Example 1)Geometric Series
7
9.1 Power Series (6, Example 2)Geometric Series
8
9.1 Power Series (7)Geometric Series
  • The series is a geometric series if each term is
    obtained from its preceding term by multiplying a
    same number r.

9
9.1 Power Series (8, Example 3)Geometric Series
10
9.1 Power Series (9)Representing Function by
series
  • The series is not only a number series but also
    is a form of function x series.

11
9.1 Power Series (10)Representing Function by
series
12
9.1 Power Series (11)Representing Function by
series
13
9.1 Power Series (12, Exploration
1-1)Representing Function by series
14
9.1 Power Series (13, Exploration
1-2)Representing Function by series
15
9.1 Power Series (14, Exploration
1-3)Representing Function by series
16
9.1 Power Series (15, Exploration
1-4)Representing Function by series
17
9.1 Power Series (16, Exploration
1-5)Representing Function by series
18
9.1 Power Series (17)Differentiation and
Integration
  • The geometric function series is the form of
    polynomials. Therefore, the application of
    differentiation can be used to find a function
    series.

19
9.1 Power Series (18, Example 4)Differentiation
and Integration
20
9.1 Power Series (19, Example 5)Differentiation
and Integration
21
9.1 Power Series (20, Theorem 1)Differentiation
and Integration
22
9.1 Power Series (21)Differentiation and
Integration
23
9.1 Power Series (22, Theorem 2)Differentiation
and Integration
24
9.1 Power Series (23)Differentiation and
Integration
  • Finding a power series by integration

25
9.1 Power Series (24, Exploration
2-1)Differentiation and Integration
26
9.1 Power Series (25, Exploration
2-2)Differentiation and Integration
27
9.1 Power Series (26, Exploration
2-3)Differentiation and Integration
28
9.1 Power Series (27, Exploration
2-4)Differentiation and Integration
29
9.1 Power Series (28, Exploration 3)Identifying
a Series
30
9.2 Taylor series (1)Constructing a Series
If the specified function is given, Then, is it
possible to find the polynominal based on x 0 ?
31
9.2 Taylor series (2, Example 1)Constructing a
Series
What is its polynomial ?
This is called the fourth order Taylor polynomial
for the function ln(1x) at x 0.
32
9.2 Taylor series (3, Example 2-1)Series for
sin x and cos x
This is called the Taylor series generated by the
function sin(x) at x 0.
33
9.2 Taylor series (4, Example 2-2)Series for
sin x and cos x
  • Constructing a power series for sin x at x 0

The higher order of polynomial taken, the more
accurate of the function reached.
34
9.2 Taylor series (5, Exploration 2-1)Series
for sin x and cos x
This is called the Taylor series generated by the
function cos(x) at x 0.
35
9.2 Taylor series (6, Exploration 2-2)Series
for sin x and cos x
  • Constructing a power series for cos x at x 0

The higher order of polynomial taken, the more
accurate of the function reached.
36
9.2 Taylor series (7)Beauty Bare
37
9.2 Taylor series (8)Maclaurin and Taylor Series
38
9.2 Taylor series (9, Example 3)Maclaurin and
Taylor Series
39
9.2 Taylor series (10, Exploration 3)Maclaurin
and Taylor series
40
9.2 Taylor series (11)Maclaurin and Taylor
Series
41
9.2 Taylor series (12, Example 4)Maclaurin and
Taylor Series
This is called the Taylor series generated by the
function ex at x 2.
42
9.2 Taylor series (13, Example 5)Maclaurin and
Taylor Series
43
9.2 Taylor series (14)Table of Maclaurin Series
  • Taylor series (Maclaurin series) for several
    functions

44
9.2 Taylor series (15)Table of Maclaurin Series
  • Taylor series can be added, subtracted, and
    multiplied, and multiplied by constants and
    powers of x, and the results are once again
    Taylor series.

45
9.3 Taylor Theorem (1)About Taylor Polynomials
  • A function can be expressed as Taylor series
    (infinite terms) or Taylor Polynomial (finite
    terms). However, the more terms of the
    Polynomial, the more accuracy of the function can
    be reached.

46
9.3 Taylor Theorem (2, Example 1)About Taylor
Polynomials
47
9.3 Taylor Theorem (3, Example 2)About Taylor
Polyniminals
48
9.3 Taylor Theorem (4, Theorem 3)The Remainder
49
9.3 Taylor Theorem (5, Example 3)The Remainder
50
9.3 Taylor Theorem (6, Exploration 1)The
Remainder
51
9.3 Taylor Theorem (7, Theorem 4)Remainder
Estimation Theorem
52
9.3 Taylor Theorem (8, Example 4)Remainder
Estimation Theorem
53
9.3 Taylor Theorem (9, Example 5)Remainder
Estimation Theorem
54
9.4 Radius of Convergence (1) Convergence
55
9.4 Radius of Convergence (2) Convergence
56
9.4 Radius of Convergence (3, Example 1)
Convergence
57
9.4 Taylor Theorem (4, Theorem 5) Radius of
converge
58
9.4 Taylor Theorem (5, Theorem 6) N-term Test
for Converge
59
9.4 Taylor Theorem (6, Example 2) N-term Test
for Converge
60
9.4 Taylor Theorem (7, Theorem 7) Comparing
Nonnegtive Series
61
9.4 Taylor Theorem (8, Example 3) Comparing
Nonnegtive Series
62
9.4 Taylor Theorem (9, Theorem 8) Comparing
Nonnegtive Series
63
9.4 Taylor Theorem (10, Example 4) Comparing
Nonnegtive Series
64
9.4 Taylor Theorem (11) Ratio Test
65
9.4 Taylor Theorem (12, Exploration 1) Ratio
Test
66
9.4 Taylor Theorem (13, Example 5) Ratio Test
67
9.4 Taylor Theorem (14, Example 6) Ratio Test
68
9.5 Testing Convergence at Endpoints (1)
Integral Test (Theorem 10)
69
9.5 Testing Convergence at Endpoints (2)
Integral Test (Example 1)
70
9.5 Testing Convergence at Endpoints (3)
Harmonic Series and p-series
  • When p 1 is called the harmonic series. It is
    probably the most famous divergent series in
    mathematics.

71
9.5 Testing Convergence at Endpoints (4)
Integral Test (Example 2)
72
9.5 Testing Convergence at Endpoints (5)
Comparison Tests (Theorem 11)
73
9.5 Testing Convergence at Endpoints (6)
Comparison Tests (Example 3)
74
9.5 Testing Convergence at Endpoints (7)
Alternating Series
  • A series in which the terms are alternately
    positive and negative is an alternating series

75
9.5 Testing Convergence at Endpoints (8)
Alternating Series (Theorem 12)
76
9.5 Testing Convergence at Endpoints (9)
Alternating Series
  • The partial sums keep overshooting the limit as
    they go back and forth on the number line,
    gradually closing in as the terms tend to zero.
    If we stop at the nth partial sum, we know that
    the next term (un1) will be again cause us to
    overshooting the limit in the positive or
    negative direction, depending on the sign carried
    by un1.

77
9.5 Testing Convergence at Endpoints (10)
Alternating Series (Theorem 13)
78
9.5 Testing Convergence at Endpoints (11)
Alternating Series (Example 4)
79
9.5 Testing Convergence at Endpoints (12)
Absolute and Conditional Convergence
80
9.5 Testing Convergence at Endpoints (13)
Absolute and Conditional Convergence (Example 5)
81
9.5 Testing Convergence at Endpoints (14)
Intervals of Convergence
82
9.5 Testing Convergence at Endpoints (15)
Intervals of Convergence
83
9.5 Testing Convergence at Endpoints (16)
Intervals of Convergence (Example 6)
84
9.5 Testing Convergence at Endpoints (17)
Procedure for Convergence
85
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