Definition of Limit of a Function at a Point in Metric Spaces
Understand the Limit of a Function in Metric Spaces through the Sequential Limit Theorem, including its formal proof and interpretation.
Limit of a Function at a Point
Let \( (\mathbf{X}, d_{\mathbf{X}}) \) and \( (\mathbf{Y}, d_{\mathbf{Y}}) \) be two metric spaces, and let \( A \subseteq \mathbf{X} \). Let \( f: A \mapsto \mathbf{Y} \), \( a \in \mathbf{X} \) be a limit point of \( A \), and \( b \in \mathbf{Y} \).
We say that
if for every \( \epsilon \gt 0 \), there exists \( \delta \gt 0 \) such that for all \( x \in A \), we have
Sequential Characterization of Limits in Metric Spaces
Let \( (\mathbf{X}, d_{\mathbf{X}}) \) and \( (\mathbf{Y}, d_{\mathbf{Y}}) \) be two metric spaces, and let \( A \subseteq \mathbf{X} \). Suppose \( a \in \mathbf{X} \) is a limit point of \( A \), and let \( f: A \to \mathbf{Y} \). Then
if and only if for every sequence \( \{x_n\} \subset A \setminus \{a\} \) such that \( \lim_{n \to \infty} x_n = a \), we have
Given that \( (\mathbf{X}, d_{\mathbf{X}}) \) and \( (\mathbf{Y}, d_{\mathbf{Y}}) \) are two metric spaces, and \( A \subseteq \mathbf{X} \). Let \( a \in \mathbf{X} \) be a limit point of \( A \), and \( f: A \to \mathbf{Y} \).
Assume \( \lim\limits_{x \to a} f(x) = b \).
Let \( \{x_n\} \subset A \setminus \{a\} \) be any sequence such that
To prove: \( \lim\limits_{n \to \infty} f(x_n) = b \).
Let \( \epsilon \gt 0 \). Since \( \lim\limits_{x \to a} f(x) = b \), by definition of limit in a metric space, there exists \( \delta \gt 0 \) such that for all \( x \in A \),
Since \( \lim\limits_{n \to \infty} x_n = a \), there exists \( N_{0} \in \mathbb{N} \) such that
And by assumption, \( x_n \neq a \), so
Therefore,
So,
Conversely, suppose for every sequence \( \{x_n\} \subset A \setminus \{a\} \) such that \( \lim\limits_{n \to \infty} x_n = a \), we have
To prove: \( \lim\limits_{x \to a} f(x) = b \).
If not, suppose \( \lim\limits_{x \to a} f(x) \neq b \). Then there exists \( \epsilon_0 \gt 0 \) such that for every \( \delta \gt 0 \), there exists \( x \in A \) with
Construct a sequence \( \{x_n\} \subset A \setminus \{a\} \) as follows: for each \( n \in \mathbb{N} \), take \( \delta = \frac{1}{n} \), then there exists \( x_n \in A \setminus \{a\} \) such that
This gives a sequence \( \{x_n\} \subset A \setminus \{a\} \) such that
Hence,
which contradicts our assumption. Therefore,
Image and Preimage Relation
Let \( (\mathbf{X}, d_{\mathbf{X}}) \) and \( (\mathbf{Y}, d_{\mathbf{Y}}) \) be metric spaces, and let \( f: \mathbf{X} \to \mathbf{Y} \) be a function.
Let \( A \subseteq \mathbf{X} \) and \( B \subseteq \mathbf{Y} \).
Then,
where \( f(A) = \{ f(x) \mid x \in A \} \) and \( f^{-1}(B) = \{ x \in \mathbf{X} \mid f(x) \in B \} \).
Assume \( f(A) \subseteq B \). To prove \( A \subseteq f^{-1}(B) \):
Let \( x \in A \). Then \( f(x) \in f(A) \subseteq B \), so \( x \in f^{-1}(B) \). Since \( x \in A \) was arbitrary, \( A \subseteq f^{-1}(B) \).
Conversely, assume \( A \subseteq f^{-1}(B) \). To prove \( f(A) \subseteq B \):
Let \( y \in f(A) \). Then \( y = f(x) \) for some \( x \in A \). Since \( x \in f^{-1}(B) \), \( f(x) \in B \). Hence \( y \in B \), so \( f(A) \subseteq B \).
Continuity and Limit Equality in Metric Spaces
Let \( (\mathbf{X}, d_{\mathbf{X}}) \) and \( (\mathbf{Y}, d_{\mathbf{Y}}) \) be two metric spaces, and let \( A \subseteq \mathbf{X} \).
Suppose \( a \in \mathbf{X} \) is a limit point of \( A \), and let \( f: A \to \mathbf{Y} \). Then the function \( f \) is continuous at \( a \in A \) if and only if
Assume \( f \) is continuous at \( a \in A \).
To prove \( \lim_{x \to a} f(x) = f(a) \):
By the definition of continuity, for every \( \epsilon \gt 0 \), there exists \( \delta \gt 0 \) such that for all \( x \in A \),
This includes points where \( x \neq a \), hence satisfies the condition for limit.
Conversely, assume \( \lim_{x \to a} f(x) = f(a) \).
To prove \( f \) is continuous at \( a \):
By the definition of limit, for every \( \epsilon \gt 0 \), there exists \( \delta \gt 0 \) such that
Also, when \( x = a \), the condition still holds since \( d_{\mathbf{Y}}(f(a), f(a)) = 0 \lt \epsilon \).
Hence, the function \( f \) is continuous at \( a \in A \).