Continuity Theorem and Converging Sequences

If a function \( f: X \to Y \) is continuous and a sequence of points \( x_1, x_2, \dots \) in \( X \) converges to a point \( x \), then the sequence of values \( f(x_1), f(x_2), \dots \) will converge to \( f(x) \) in \( Y \).

In other words, a continuous function preserves the convergence of sequences.

If the points \( x_n \) move closer and closer to \( x \), then the values of the function \( f(x_n) \) will similarly approach \( f(x) \).

A practical example

Let’s take the function \( f: \mathbb{R} \to \mathbb{R} \), defined as \( f(x) = 2x \), and the sequence \( x_n = \frac{1}{n} \), where \( n \in \mathbb{N} \).

This sequence \( (x_n) \) converges to \( 0 \) as \( n \to \infty \).

The terms of the sequence are \( x_1 = 1 \), \( x_2 = \frac{1}{2} \), \( x_3 = \frac{1}{3} \), and so on.

It’s clear that \( x_n \) approaches \( 0 \) as \( n \) increases.

Now, let's apply the function \( f \) to each term of the sequence:

$$ f(x_1) = f(1) = 2 $$

$$ f(x_2) = f\left(\frac{1}{2}\right) = 1 $$

$$ f(x_3) = f\left(\frac{1}{3}\right) = \frac{2}{3} $$

$$ ... $$

The new sequence \( f(x_n) = 2x_n \) is \( 2, 1, \frac{2}{3}, \dots \), which converges to \( 0 \).

So, the sequence \( (f(x_n)) \) converges to \( f(0) = 0 \), just as the theorem suggests.

Thus, the continuous function has preserved the convergence of the sequence.

The proof

To prove that \( (f(x_n)) \) converges to \( f(x) \), we need to start from the assumption that \( f \) is continuous and use this property.

Continuity implies that the inverse image of an open set in \( Y \) is also an open set in \( X \).

We’ll use this property to show that, given any neighborhood \( U \) of \( f(x) \), the terms of the sequence \( f(x_n) \) eventually lie within \( U \) for sufficiently large \( n \).

Step 1: Arbitrary neighborhood of \( f(x) \)

Consider an arbitrary neighborhood \( U \) of \( f(x) \) in \( Y \).

This means that \( U \) is an open set containing \( f(x) \).

The goal is to prove that, for sufficiently large \( n \), the terms of the sequence \( f(x_n) \) will be contained within \( U \).

Step 2: Preimage of \( U \) under \( f \)

Since \( f \) is continuous, we know that the inverse image of \( U \) under \( f \), denoted by \( f^{-1}(U) \), is an open set in \( X \).

This means that every point \( x \) in \( f^{-1}(U) \) has its image under \( f \) in \( U \).

Furthermore, since \( f(x) \in U \), we know that \( x \in f^{-1}(U) \).

Step 3: Sequence \( (x_n) \) converging to \( x \)

By assumption, the sequence \( (x_1, x_2, \dots ) \) in \( X \) converges to \( x \).

This means that, for every neighborhood of \( x \), there exists an index \( N \) such that, for all \( n \geq N \), the terms \( x_n \) of the sequence are contained within that neighborhood.

Since \( f^{-1}(U) \) is an open neighborhood of \( x \), we can apply this definition of convergence to the sequence \( (x_n) \).

Step 4: Existence of \( N \)

Since \( (x_n) \) converges to \( x \), we know that there exists a natural number \( N \) such that for all \( n \geq N \), the terms \( x_n \) are contained within \( f^{-1}(U) \).

This implies that for all \( n \geq N \), we have \( x_n \in f^{-1}(U) \), or equivalently, \( f(x_n) \in U \).

Conclusion

Since \( f(x_n) \in U \) for all \( n \geq N \), we can conclude that the sequence \( (f(x_n)) \) converges to \( f(x) \).

This proves that a continuous function \( f \) preserves the convergence of sequences: if \( (x_n) \) converges to \( x \), then \( (f(x_n)) \) converges to \( f(x) \).

And so on.

 
 

Please feel free to point out any errors or typos, or share suggestions to improve these notes. English isn't my first language, so if you notice any mistakes, let me know, and I'll be sure to fix them.

FacebookTwitterLinkedinLinkedin
knowledge base

Topology

Exercises