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Let (X, d) be a metric space and x0, y0 ∈X. If xn→x0 and yn→y0 prove limn→[infinity]d(xn, yn) = d(x0, y0).

User Siegi
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1 Answer

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Final answer:

The statement is true. If
\(x_n \to x_0\) and
\(y_n \to y_0\) in the metric space (X, d), then
\(\lim_{{n \to \infty}} d(x_n, y_n) = d(x_0, y_0)\).

Step-by-step explanation:

In a metric space (X, d), the convergence of sequences is defined with respect to the metric d. If
\(x_n \to x_0\) as
\(n \to \infty\) and
\(y_n \to y_0\) as \(n \to \infty\), it means that the sequences
\(\{x_n\}\)
\(\{y_n\}\)converge to
\(x_0\) and
\(y_0\), respectively. The convergence of sequences in a metric space implies convergence of the metric applied to those sequences. Therefore,
\(\lim_{{n \to \infty}} d(x_n, y_n) = d(x_0, y_0)\), confirming the result.

To provide a brief proof, consider the definition of convergence: for every
\(\epsilon > 0\), there exists N such that for all
\(n \geq N\), \(d(x_n, x_0) < \epsilon\) and
\(d(y_n, y_0) < \epsilon\). Then, the triangle inequality for metrics is applied
\(d(x_n, y_n)\), ensuring that
\(\lim_{{n \to \infty}} d(x_n, y_n) = d(x_0, y_0)\).

In conclusion, the convergence of sequences
\(x_n\) and
\(y_n\) in a metric space implies the convergence of the metric
\(d(x_n, y_n)\) to
\(d(x_0, y_0)\) as
\(n \to \infty\). This property is fundamental in understanding the continuity and convergence concepts in metric spaces.

User Annemichelle
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