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Convergence of sequences in real analysis, Lecture notes of Mathematics

The concept of convergence in real analysis and its importance in understanding the behavior of sequences. It defines convergence and provides examples to illustrate the concept. The document also discusses the uniqueness of limits, characterizing behavior, and computing limits using convergence.

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2022/2023

Available from 10/07/2023

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Convergence of Sequences in Real Analysis
Sajad Ahmad Sheikh
1 Introduction
In real analysis, the concept of convergence plays a fundamental role in under-
standing the behavior of sequences. Convergence describes the tendency of a
sequence to approach a certain limit as the sequence progresses. It provides a
powerful tool for studying the properties and behavior of real numbers.
2 Definition of Convergence
Let (an)
n=1 be a sequence of real numbers. We say that the sequence converges
to a real number L, denoted by limn→∞ an=L, if for every positive real number
ϵ, there exists a positive integer Nsuch that for all nN, we have |anL|< ϵ.
2.1 Intuition
The definition of convergence can be understood intuitively as follows: A se-
quence (an) converges to a limit Lif, as we progress further along the sequence,
the terms anget arbitrarily close to L. In other words, for any desired level of
closeness (specified by ϵ), we can find a point in the sequence beyond which all
terms are within ϵof L.
3 Importance of Convergence
Convergence is a crucial concept in real analysis due to several reasons.
3.1 Uniqueness of Limits
If a sequence converges, the limit is unique. In other words, if limn→∞ an=L1
and limn→∞ an=L2, then L1=L2. This property allows us to talk about
”the” limit of a sequence rather than multiple possible limits.
3.2 Characterizing Behavior
Convergence provides a way to characterize the behavior of sequences. A se-
quence may converge to a fixed limit, diverge to ±∞, or exhibit oscillatory
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Convergence of Sequences in Real Analysis

Sajad Ahmad Sheikh

1 Introduction

In real analysis, the concept of convergence plays a fundamental role in under- standing the behavior of sequences. Convergence describes the tendency of a sequence to approach a certain limit as the sequence progresses. It provides a powerful tool for studying the properties and behavior of real numbers.

2 Definition of Convergence

Let (an)∞ n=1 be a sequence of real numbers. We say that the sequence converges to a real number L, denoted by limn→∞ an = L, if for every positive real number ϵ, there exists a positive integer N such that for all n ≥ N , we have |an − L| < ϵ.

2.1 Intuition

The definition of convergence can be understood intuitively as follows: A se- quence (an) converges to a limit L if, as we progress further along the sequence, the terms an get arbitrarily close to L. In other words, for any desired level of closeness (specified by ϵ), we can find a point in the sequence beyond which all terms are within ϵ of L.

3 Importance of Convergence

Convergence is a crucial concept in real analysis due to several reasons.

3.1 Uniqueness of Limits

If a sequence converges, the limit is unique. In other words, if limn→∞ an = L 1 and limn→∞ an = L 2 , then L 1 = L 2. This property allows us to talk about ”the” limit of a sequence rather than multiple possible limits.

3.2 Characterizing Behavior

Convergence provides a way to characterize the behavior of sequences. A se- quence may converge to a fixed limit, diverge to ±∞, or exhibit oscillatory

behavior. By studying the convergence of a sequence, we gain insights into its long-term behavior.

3.3 Computing Limits

Convergence enables us to compute limits of more complicated sequences by re- lating them to simpler sequences whose limits are known. This technique, known as the squeeze theorem, is particularly useful when dealing with sequences that are difficult to evaluate directly.

4 Examples

Let’s consider a few examples to illustrate the concept of convergence.

4.1 Example 1: Geometric Sequence

Consider the sequence (an) =

2 n

n=1.^ We claim that limn→∞^ an^ = 0.^ To prove this, let ϵ > 0 be given. We need to find a positive integer N such that |an − 0 | = |an| < ϵ for all n ≥ N. Note that an = (^21) n. By choosing N = ⌈log 2 (1/ϵ)⌉, we have |an| = (^21) n ≤ (^21) N < ϵ for all n ≥ N. Therefore, limn→∞ 21 n = 0.

4.2 Example 2: Divergent Sequence

Consider the sequence (bn) = (n^2 )∞ n=1. We claim that this sequence diverges to ∞, i.e., limn→∞ bn = ∞. To prove this, let M > 0 be given. We need to find a positive integer N such that bn > M for all n ≥ N. Since bn = n^2 , we can choose N = ⌈

M ⌉. For all n ≥ N , we have bn = n^2 ≥ N 2 ≥ ⌈

M ⌉^2 > M.

Therefore, limn→∞ n^2 = ∞. Consider the sequence (an) =

n

n=1. We claim that limn→∞^ an^ = 0. Solution: To prove that limn→∞ an = 0, we need to show that for any given positive number ϵ, there exists a positive integer N such that |an − 0 | < ϵ whenever n > N. Let’s choose ϵ > 0. We want to find N such that (^1) n − 0 < ϵ for all n > N. Simplifying the inequality, we get (^) n^1 < ϵ, which is equivalent to n > (^1) ϵ. Let N =

ϵ

, where ⌈x⌉ denotes the smallest integer greater than or equal to x. Then, for all n > N , we have n > (^1) ϵ , which implies (^1) n < ϵ. Hence, we have shown that for any ϵ > 0, we can find N such that |an − 0 | < ϵ whenever n > N. Therefore, limn→∞ an = 0.

4.3 Example 3

Consider the sequence (bn) =

(^) n+ n

n=1. We claim that limn→∞^ bn^ = 1. Solution: To prove that limn→∞ bn = 1, we need to show that for any given positive number ϵ, there exists a positive integer N such that |bn − 1 | < ϵ whenever n > N.

To prove this formally, we need to show that for any given positive number ϵ, there exists a positive integer N such that |dn − 0 | < ϵ whenever n > N.

Let’s choose ϵ > 0. We want to find N such that (−1)

n n −^0 < ϵ^ for all n > N. Simplifying the inequality, we get (^1) n < ϵ, which is equivalent to n > (^1) ϵ. Let N =

ϵ

, where ⌈x⌉ denotes the smallest integer greater than or equal to x. Then, for all n > N , we have n > (^1) ϵ , which implies (^1) n < ϵ. Hence, we have shown that for any ϵ > 0, we can find N such that |dn − 0 | < ϵ whenever n > N. Therefore, limn→∞ dn = 0.

4.6 Example 5

Consider the sequence (en) =

n^2 n+

n=

. We want to determine if the sequence

converges or diverges. Solution: To analyze the convergence of the sequence, we will investigate the limit of the sequence as n approaches infinity. Taking the limit, we have:

lim n→∞ en = lim n→∞

n^2 n + 1

To simplify the expression, we can divide both the numerator and the de- nominator by n:

lim n→∞

n^2 n + 1

= lim n→∞

n 1 + (^1) n

As n approaches infinity, the term (^) n^1 approaches 0. Therefore, we have:

lim n→∞

n 1 + (^) n^1

Since the limit of the sequence is ∞, we can conclude that the sequence (en) diverges.

5 Exercises

5.1 Exercise 1

Consider the sequence (an) =

n^2 2 n

n=

. Determine if the sequence converges or

diverges. If it converges, find its limit.

5.2 Exercise 2

Consider the sequence (bn) =

(^) n! nn

n=1. Determine if the sequence converges or diverges. If it converges, find its limit.

5.3 Exercise 3

Let (cn) be a sequence defined by c 1 = 1 and cn+1 =

2 + cn for n ≥ 1. Determine if the sequence converges or diverges. If it converges, find its limit.

5.4 Exercise 4

Consider the sequence (dn) =

(^2) n n!

n=1. Determine if the sequence converges or diverges. If it converges, find its limit.

5.5 Exercise 5

The Fibonacci sequence is defined recursively as F 1 = 1, F 2 = 1, and Fn+2 =

Fn+1 + Fn for n ≥ 1. Prove that the sequence

Fn+ Fn

n=

converges. If it

converges, find its limit.

5.6 Exercise 6

Consider the sequence (en) =

sin

(^) nπ 2

n=1.^ Determine if the sequence con- verges or diverges. If it converges, find its limit.

5.7 Exercise 7

Let (fn) be a sequence defined recursively by f 1 = 1, f 2 = 2, and fn+2 = fn+1 +

fn for n ≥ 1. Determine if the sequence converges or diverges. If it converges, find its limit.

5.8 Exercise 8

Consider the sequence (gn) =

(^2) n+3n 4 n

n=1. Determine if the sequence converges or diverges. If it converges, find its limit.

5.9 Exercise 9

Let (hn) be a sequence defined by h 1 = 0 and hn+1 =

hn + 2 for n ≥ 1. Determine if the sequence converges or diverges. If it converges, find its limit.

5.10 Exercise 10

Consider the sequence (in) =

(^) n! en

n=1. Determine if the sequence converges or diverges. If it converges, find its limit.