Answers will vary.
natural
Answers will vary.
Answers will vary.
diverges
converges to
converges to
converges to 0
converges to
converges to 0
diverges
converges to 3
converges to
diverges
converges to 5
converges to 0
diverges
converges to 2
converges to 0
diverges
converges to 0
converges to
converges to
converges to
converges to
converges to
bounded
bounded
bounded below
bounded above
monotonically increasing
monotonically increasing for
never monotonic
monotonically decreasing for
never monotonic
monotonically decreasing
Let be given such that . By the definition of the limit of a sequence, given any , there is a such that for all . Since , this directly implies that for all , , meaning that .
Left to reader
One possibility: and
Left to reader
2
Answers will vary.
Answers will vary.
One sequence is the sequence of terms . The other is the sequence of partial sums, .
Answers will vary.
F
F
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Converges because it is a geometric series with .
; by Theorem 9.2.4 the series diverges.
Diverges by Theorem 9.2.4
; by Theorem 9.2.4 the series diverges.
Diverges
; by Theorem 9.2.4 the series diverges.
; by Theorem 9.2.4 the series diverges.
Diverges
Diverges
; by Theorem 9.2.4 the series diverges.
Diverges
Diverges by the Test for Divergence
; by Theorem 9.2.4 the series diverges.
Diverges by Theorem 9.2.4
Converges
Converges
Converges
Converges
Converges to .
Diverges
Diverges
Converges to 10.
.
Converges to .
Converges to .
With partial fractions, .
Thus .
Converges to 1.
With partial fractions, .
Thus .
Converges to 9/4
Use partial fraction decomposition to recognize the telescoping series: , so that .
Converges to .
Diverges (to ).
Converges to 1.
; using partial fractions,
the resulting telescoping sum reduces to
Converges to .
for . Thus .
Converges to .
With partial fractions, . Thus .
Converges to 3/4.
Converges to .
Converges to .
; by Theorem 9.2.4 the series diverges.
; by Theorem 9.2.4 the series diverges.
; by Theorem 9.2.4 the series diverges.
; by Theorem 9.2.4 the series diverges.
; by Theorem 9.2.4 the series diverges.
; by Theorem 9.2.4 the series diverges.
Using partial fractions, we can show that . The series is effectively twice the sum of the odd terms of the Harmonic Series which was shown to diverge in Example 9.2.5. Thus this series diverges.
continuous, positive and decreasing
F
Converges
Converges
Diverges
Diverges
Converges
Converges
Converges
Converges
converges; we cannot conclude anything about
diverges; we cannot conclude anything about
Converges; compare to , as for all .
Converges; compare to , as for all .
Diverges; compare to , as for all .
Converges; compare to , as for all .
Diverges; compare to . Since , for all .
Diverges; compare to , as for all .
Converges; compare to .
Converges; compare to .
Diverges; compare to .
Diverges; compare to .
Diverges; compare to .
Diverges; compare to . Just as , .
Diverges; compare to :
for all .
Diverges; compare to .
Converges; compare to , as for all .
Converges; compare to .
Converges by Comparison Test with
Converges by Comparison Test with
Diverges; compare to . Note that
as , for all .
Diverges; compare to .
Converges; compare to , as for all .
Converges; compare to .
Converges; Integral Test
Converges; Integral Test, -Series Test, Direct & Limit Comparison Tests can all be used.
Diverges; the Term Test and Direct Comparison Test can be used.
Converges; the Direct Comparison Test can be used with sequence .
Converges; the Direct Comparison Test can be used with sequence .
Diverges; the Term Test can be used, along with the Limit Comparison Test (compare with 1/10).
Diverges; the Term Test can be used, along with the Integral Test.
Diverges; the Limit Comparison Test can be used with sequence .
Converges; use Direct Comparison Test as .
Converges; since original series converges, we know . Thus for large , .
Converges; similar logic to part (b) so .
May converge; certainly but that does not mean it does not converge.
Does not converge, using logic from (b) and Term Test.
Diverges
The signs of the terms do not alternate; in the given series, some terms are negative and the others positive, but they do not necessarily alternate.
positive, decreasing, 0
Many examples exist; one common example is .
conditionally
converges
converges (-Series)
absolute
converges
converges (Geometric Series with )
absolute
diverges (limit of terms is not 0)
diverges
n/a; diverges
diverges (limit of terms is not 0)
diverges
n/a; diverges
converges
diverges (Limit Comparison Test with )
conditional
converges
diverges (Direct Comparison Test with )
conditional
diverges (limit of terms is not 0)
diverges
n/a; diverges
converges
converges (the sum in the denominator is )
absolute
diverges (terms oscillate between )
diverges
n/a; diverges
converges
diverges (Integral Test)
conditional
converges
converges (Geometric Series with )
absolute
converges
converges (Direct Comparison to )
absolute
converges
diverges (-Series Test with )
conditional
converges
converges (Integral Test)
absolute
; ;
; ;
; ;
; ;
Using the theorem, we find guarantees the sum is within of . (Convergence is actually faster, as the sum is within of when .)
( when )
Using 5 terms, the series in 23 gives . Using 499 terms, the series in 25 gives . The series in 23 gives the better approximation, and requires many fewer terms.
algebraic, or polynomial.
factorial and/or exponential
Integral Test, Limit Comparison Test, and Root Test
raised to a power
Converges
Diverges
Converges
Converges
The Ratio Test is inconclusive; the -Series Test states it diverges.
The Ratio Test is inconclusive; the Direct Comparison Test with shows it converges.
Converges
Converges
Converges; note the summation can be rewritten as , from which the Ratio Test can be applied.
Converges; rewrite the summation as then apply the Ratio Test.
Diverges
Converges
Converges
Converges
Converges
Converges
Diverges
Converges
Diverges. The Root Test is inconclusive, but the -Term Test shows divergence. (The terms of the sequence approach , not 0, as .)
Converges
Converges
Converges
Converges
Diverges
Absolutely converges
Diverges
Absolutely converges
Diverges
Absolutely converges
Absolutely converges
Diverges
Conditionally converges
Absolutely converges
Diverges
Conditionally converges
Absolutely converges
Diverges
Absolutely converges
Absolutely converges
Absolutely converges
Diverges
Conditionally converges
Absolutely converges
Absolutely converges
Diverges
Absolutely converges
Absolutely converges
Diverges
Diverges
Diverges
Conditionally converges
Absolutely converges
Absolutely converges
Diverges
Absolutely converges
Absolutely converges
Conditionally converges
Diverges
Absolutely converges
Absolutely converges
Diverges
1
The radius of convergence is a value such that a power series, centered at , converges for all values of in . The interval of convergence is an interval on which the power series converges; it may differ from only at the endpoints.
5
5
,
,
,
,
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
Converges
Diverges
Converges
Diverges
,
,
,
;
;
;
;
The Maclaurin polynomial is a special case of Taylor polynomials. Taylor polynomials are centered at a specific -value; when that -value is 0, it is a Maclaurin polynomial.
T
.
; . Error is bounded by .
; . Error is bounded by .
; . The third derivative of is bounded on by . Error is bounded by .
; . The absolute value of the fourth derivative of is bounded on by . Error is bounded by .
The derivative of is bounded by on . Thus . When , this is less than .
The derivative of has a maximum on of . Thus . When , this is less than .
The derivative of is bounded by on intervals containing and . Thus . When , this is less than . Since the Maclaurin polynomial of only uses even powers, we can actually just use .
The derivative of is bounded by on intervals containing and . Thus . When , this is less than . Since the Maclaurin polynomial of only uses odd powers, we can actually just use .
When is even, ; when is odd, .
When even, 0; when is odd, .
A Taylor polynomial is a polynomial, containing a finite number of terms. A Taylor series is a series, the summation of an infinite number of terms.
Theorem 9.10.1, entitled “Function and Taylor Series Equality”
All derivatives of are which evaluate to 1 at .
The Taylor series starts ;
the Taylor series is
All derivatives of are either or , which evaluate to or at . The Taylor series starts ;
the Taylor series is
The derivative of is , which evaluates to at .
The Taylor series starts ;
the Taylor series is
The derivative of is . Taking successive derivatives using the Quotient Rule, the derivatives of fall into two categories in terms of their evaluation at .
When is even, , where is a polynomial such that . Hence when is even.
When is odd, , where is a polynomial such that . Hence when is odd. (The unusual power of is such that every other odd term is negative.)
The Taylor series starts ; by reindexing to only obtain odd powers of , we get
the Taylor series is .
The Taylor series starts ;
the Taylor series is
The Taylor series starts ;
the Taylor series is
; at , when is odd and when is even.
The Taylor series starts ;
the Taylor series is .
; at ,
The Taylor series starts ;
the Taylor series is .
; at ,
The Taylor series starts ;
the Taylor series is .
The derivatives of are and ; at , these derivatives evaluate to .
The Taylor series starts . Note how the signs are “.” We saw signs like these in Example 9.1.1; one way of producing such signs is to raise to a special quadratic power. While many possibilities exist, one such quadratic is .
Thus the Taylor series is .
Given a value , the magnitude of the error term is bounded by
where is between and .
If , then and . If , then and . So given a fixed value, let ; This allows us to state
For any , . Thus by the Squeeze Theorem, we conclude that for all , and hence
The following argument is essentially the same as that given for in Example 9.10.3.
Given a value , the magnitude of the error term is bounded by
Since all derivatives of are or , whose magnitudes are bounded by , we can state
For any , . Thus by the Squeeze Theorem, we conclude that for all , and hence
Given a value , the magnitude of the error term is bounded by
where is between and . Since ,
If , then and . Thus
For a fixed ,
Given a value , the magnitude of the error term is bounded by
where is between and .
Note that .
If , then and . Thus
For a fixed ,
Given ,
, as all powers in the series are even.
Given ,
, as all powers in the series are odd.
Given ,
. (The summation still starts at as there was no constant term in the expansion of ).
Given ,
. We can re-index this summation to start at by replacing with in the summation:
Note that this series has the opposite sign of the Taylor series for ; thus .
(note the series is finite, and the formula still applies)
. (Actual answer: )
