Proof Of Uniqueness Of Sequence Limits

by Andrew McMorgan 39 views

Hey guys! So, I've been diving deep into the fascinating world of Real Analysis lately, and one of the concepts that really got me thinking is the uniqueness of the limit of a sequence. It sounds simple enough, right? A sequence can only converge to one specific number. But how do we actually prove that? I decided to put my understanding to the test and came up with a logical proof using a truth table approach to convince myself. It's always the best way to really nail these concepts, don't you think?

I wanted to share my proof with you all here in Plastik Magazine to get your thoughts. Is it solid? Does it need any tweaks? Let's break it down together. So, the fundamental idea we're trying to prove is that if a sequence (an)(a_n) converges to a limit LL, then it cannot converge to any other limit, say MM, where MeqLM eq L. This is a cornerstone property in calculus and real analysis, and understanding the proof helps solidify our grasp on limits themselves.

The Setup: What We Assume and What We Want to Show

Before we jump into the proof, let's lay down the groundwork. We're working within the realm of sequences and their limits. The definition of a sequence converging to a limit LL is crucial here. It states that for every ϵ>0\epsilon > 0, there exists a natural number NN such that for all n>Nn > N, the absolute difference between ana_n and LL is less than ϵ\epsilon, i.e., anL<ϵ|a_n - L| < \epsilon. This definition is the bedrock upon which our proof will be built. We're essentially saying that the terms of the sequence get arbitrarily close to the limit LL as nn gets large enough.

Now, to prove uniqueness, we'll employ a common proof technique: proof by contradiction. We'll assume the opposite of what we want to prove and show that this assumption leads to a logical inconsistency. So, let's assume that our sequence (an)(a_n) has two distinct limits, LL and MM, with LML \neq M. Our goal is to show that this assumption cannot hold true, thereby proving that the limit, if it exists, must be unique.

Constructing the Proof: A Logical Approach

Let's dive into the heart of the proof. We are given a sequence (an)(a_n) that converges to LL. This means, by definition, for any ϵ1>0\epsilon_1 > 0, there exists an N1NN_1 \in \mathbb{N} such that for all n>N1n > N_1, we have anL<ϵ1|a_n - L| < \epsilon_1.

Simultaneously, let's assume (an)(a_n) also converges to MM, where MLM \neq L. This means, by definition, for any ϵ2>0\epsilon_2 > 0, there exists an N2NN_2 \in \mathbb{N} such that for all n>N2n > N_2, we have anM<ϵ2|a_n - M| < \epsilon_2.

Our goal is to show that these two conditions cannot coexist if LML \neq M. To do this, we need to choose our ϵ\epsilon values strategically. Since LL and MM are distinct real numbers, the distance between them, LM|L - M|, is a positive value. Let's denote this positive distance by d=LM>0d = |L - M| > 0.

Now, consider choosing ϵ1=d2\epsilon_1 = \frac{d}{2} and ϵ2=d2\epsilon_2 = \frac{d}{2}. These are positive values, so they are valid choices for our epsilon in the limit definitions.

With these choices, we have:

  1. For ϵ1=d2\epsilon_1 = \frac{d}{2}: There exists N1N_1 such that for all n>N1n > N_1, anL<d2|a_n - L| < \frac{d}{2}.
  2. For ϵ2=d2\epsilon_2 = \frac{d}{2}: There exists N2N_2 such that for all n>N2n > N_2, anM<d2|a_n - M| < \frac{d}{2}.

Now, let's consider an index nn that is greater than both N1N_1 and N2N_2. Let N=max(N1,N2)N = \max(N_1, N_2). For any n>Nn > N, both of the above inequalities hold true.

So, for n>Nn > N, we have anL<d2|a_n - L| < \frac{d}{2} and anM<d2|a_n - M| < \frac{d}{2}.

Let's think about the distance between LL and MM. We know LM=d|L - M| = d. We can use the triangle inequality to relate this distance to the terms ana_n. Consider the expression LM|L - M|. We can rewrite this as:

LM=Lan+anM|L - M| = |L - a_n + a_n - M|

Using the triangle inequality, x+yx+y|x + y| \le |x| + |y|, we get:

LMLan+anM|L - M| \le |L - a_n| + |a_n - M|

Since Lan=anL|L - a_n| = |a_n - L|, we have:

LManL+anM|L - M| \le |a_n - L| + |a_n - M|

Now, for n>Nn > N, we know that anL<d2|a_n - L| < \frac{d}{2} and anM<d2|a_n - M| < \frac{d}{2}. Substituting these into the inequality:

LM<d2+d2|L - M| < \frac{d}{2} + \frac{d}{2}

LM<d|L - M| < d

But we defined d=LMd = |L - M| at the beginning. So, the inequality becomes:

d<dd < d

This is a clear contradiction! The statement d<dd < d is logically impossible.

The Truth Table Logic Behind It

While I didn't literally construct a truth table with 'True' and 'False' columns for each propositional variable, the underlying logic mirrors a truth table's function. Let's think of the statements involved:

  • P: Sequence (an)(a_n) converges to LL. (Assumed True)
  • Q: Sequence (an)(a_n) converges to MM. (Assumed True for contradiction)
  • R: LML \neq M. (Assumed True for contradiction)

Our proof shows that the conjunction of P, Q, and R leads to a logical falsehood (e.g., d<dd < d). In propositional logic, if a premise AA implies a contradiction (False), then the premise AA must be false. Here, our premise is "(an)(a_n) converges to LL AND (an)(a_n) converges to MM AND LML \neq M". Since this leads to a contradiction, at least one of these statements must be false.

We start by assuming P is true (the sequence converges to LL). We then assume Q and R are also true (it also converges to a different limit MM). Our derivation d<dd < d is the