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.