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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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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.
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.
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.
Convergence is a crucial concept in real analysis due to several reasons.
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.
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.
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.
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.
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 ≥ ⌈
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.
Consider the sequence (bn) =