Example
Prove that \(f(x) = x^2\) is uniformly continuous on \([0,M]\) where \(M < \infty\). However, it is not uniformly continuous on \(\mathbb{R}\)
Proof
Let \(\epsilon > 0\) and take \(\delta = \frac{\epsilon}{2M}\). Then
$$
\begin{align*}
|f(x) - f(y)| &= |x^2 - y^2| \\
&= |x+y||x-y| \\
&\leq (|x|+|y|)|x-y| \quad \text{(triangle inequality)} \\
&< 2M \frac{\epsilon}{2M} = \epsilon
\end{align*}
$$
This shows that \(f(x)=x^2\) is uniformly continuous on \([0,M]\). Next, we show that it’s not uniformly continuous on \(\mathbb{R}\) by negating the definition of uniform continuity.
There exists an \(\epsilon_0 > 0\) such that for all \(\delta > 0\), there exists \(x, y \in \mathbb{R}\) such that \(|x - y| < \delta\) but \(|f(x) - f(y)| \geq \epsilon_0\)
So for each \(\delta\), we need to find just a pair of points where they are close to each other (ie \(|x - y| < \delta\) but \(|f(x) - f(y) \geq \epsilon_0\)
So now take \(\epsilon_0 = 1\). Then, for any \(\delta > 0\), by the Archimedean principle choose
$$
\begin{align*}
n > \frac{1}{\delta}
\end{align*}
$$
and let \(x = n + \frac{\delta}{2}\) and \(y = n\). Then observe that
$$
\begin{align*}
|f(x) - f(y)| &= \left| \left(n+ \frac{\delta}{2} \right)^2 - n^2 \right| \\
&= \left| n^2 + \delta n + \frac{\delta^2}{4} - n^2 \right| \\
&= \left| \delta n + \frac{\delta^2}{4} \right| \\
&= \delta n + \frac{\delta^2}{4} \\
&\geq \delta n \\
&\geq \delta \frac{1}{\delta} = 1. \ \blacksquare
\end{align*}
$$
References
- Introduction to Analysis, An, 4th edition by William Wade
- Lecture Notes by Professor Chun Kit Lai