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lim n 5 3 n 2 = lim n ( 5 3 n 2 ) = 5 .

Continuous functions defined on convergent sequences

Consider a sequence { a n } and suppose there exists a real number L such that the sequence { a n } converges to L . Suppose f is a continuous function at L . Then there exists an integer N such that f is defined at all values a n for n N , and the sequence { f ( a n ) } converges to f ( L ) ( [link] ).

Proof

Let ϵ > 0 . Since f is continuous at L , there exists δ > 0 such that | f ( x ) f ( L ) | < ε if | x L | < δ . Since the sequence { a n } converges to L , there exists N such that | a n L | < δ for all n N . Therefore, for all n N , | a n L | < δ , which implies | f ( a n ) f ( L ) | < ε . We conclude that the sequence { f ( a n ) } converges to f ( L ) .

A graph in quadrant 1 with points (a_1, f(a_1)), (a_3, f(a_3)), (L, f(L)), (a_4, f(a_4)), and (a_2, f(a_2)) connected by smooth curves.
Because f is a continuous function as the inputs a 1 , a 2 , a 3 ,… approach L , the outputs f ( a 1 ) , f ( a 2 ) , f ( a 3 ) ,… approach f ( L ) .

Limits involving continuous functions defined on convergent sequences

Determine whether the sequence { cos ( 3 / n 2 ) } converges. If it converges, find its limit.

Since the sequence { 3 / n 2 } converges to 0 and cos x is continuous at x = 0 , we can conclude that the sequence { cos ( 3 / n 2 ) } converges and

lim n cos ( 3 n 2 ) = cos ( 0 ) = 1 .
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Determine if the sequence { 2 n + 1 3 n + 5 } converges. If it converges, find its limit.

The sequence converges, and its limit is 2 / 3 .

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Another theorem involving limits of sequences is an extension of the Squeeze Theorem for limits discussed in Introduction to Limits .

Squeeze theorem for sequences

Consider sequences { a n } , { b n } , and { c n } . Suppose there exists an integer N such that

a n b n c n for all n N .

If there exists a real number L such that

lim n a n = L = lim n c n ,

then { b n } converges and lim n b n = L ( [link] ).

Proof

Let ε > 0 . Since the sequence { a n } converges to L , there exists an integer N 1 such that | a n L | < ε for all n N 1 . Similarly, since { c n } converges to L , there exists an integer N 2 such that | c n L | < ε for all n N 2 . By assumption, there exists an integer N such that a n b n c n for all n N . Let M be the largest of N 1 , N 2 , and N . We must show that | b n L | < ε for all n M . For all n M ,

ε < | a n L | a n L b n L c n L | c n L | < ε .

Therefore, ε < b n L < ε , and we conclude that | b n L | < ε for all n M , and we conclude that the sequence { b n } converges to L .

A graph in quadrant 1 with the line y = L and the x axis labeled as the n axis. Points are plotted above and below the line, converging to L as n goes to infinity. Points a_n, b_n, and c_n are plotted at the same n-value. A_n and b_n are above y = L, and c_n is below it.
Each term b n satisfies a n b n c n and the sequences { a n } and { c n } converge to the same limit, so the sequence { b n } must converge to the same limit as well.

Using the squeeze theorem

Use the Squeeze Theorem to find the limit of each of the following sequences.

  1. { cos n n 2 }
  2. { ( 1 2 ) n }
  1. Since −1 cos n 1 for all integers n , we have
    1 n 2 cos n n 2 1 n 2 .

    Since −1 / n 2 0 and 1 / n 2 0 , we conclude that cos n / n 2 0 as well.
  2. Since
    1 2 n ( 1 2 ) n 1 2 n

    for all positive integers n , −1 / 2 n 0 and 1 / 2 n 0 , we can conclude that ( −1 / 2 ) n 0 .
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Find lim n 2 n sin n n .

2

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Using the idea from [link] b. we conclude that r n 0 for any real number r such that −1 < r < 0 . If r < 1 , the sequence { r n } diverges because the terms oscillate and become arbitrarily large in magnitude. If r = −1 , the sequence { r n } = { ( −1 ) n } diverges, as discussed earlier. Here is a summary of the properties for geometric sequences.

r n 0 if | r | < 1
r n 1 if r = 1
r n if r > 1
{ r n } diverges if r 1

Bounded sequences

We now turn our attention to one of the most important theorems involving sequences: the Monotone Convergence Theorem. Before stating the theorem, we need to introduce some terminology and motivation. We begin by defining what it means for a sequence to be bounded.

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Source:  OpenStax, Calculus volume 2. OpenStax CNX. Feb 05, 2016 Download for free at http://cnx.org/content/col11965/1.2
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