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    Continuous functions vanishing at $\pm\infty$ are uniformly continuous

    P-AZOFF-A02

    Area
    Real Analysis
    Status
    draft

    Suppose \(f:\mathbb R\to\mathbb R\) is continuous and \[ \lim_{x\to\pm\infty}f(x)=0. \] Prove that \(f\) is uniformly continuous.

    Solution

    1. For every \(\varepsilon>0\) there is \(R>0\) such that\[ \abs{f(x)}<\frac{\varepsilon}{2} \]whenever\[ \abs{x}>R. \]

    The hypotheses \[ \lim_{x\to+\infty}f(x)=0 \qquad\text{and}\qquad \lim_{x\to-\infty}f(x)=0 \] give numbers \(R_+,R_->0\) such that the displayed bound holds for \(x>R_+\) and for \(x<-R_-\), respectively. Taking \[ R=\max\{R_+,R_-\} \] gives the claim.

    2. For the \(R\) from step 1, there is \(\delta_0>0\) such that\[ \abs{x-y}<\delta_0, \qquad x,y\in[-R-1,R+1] \]implies\[ \abs{f(x)-f(y)}<\varepsilon. \]

    The interval \[ [-R-1,R+1] \] is compact, and \(f\) is continuous on it. By the Heine–Cantor theorem, the restriction of \(f\) to this interval is uniformly continuous. Applying that uniform continuity with the given \(\varepsilon\) gives \(\delta_0\).

    3. With\[ \delta=\min\{1,\delta_0\}, \]every \(x,y\in\RR\) satisfying \(\abs{x-y}<\delta\) also satisfy\[ \abs{f(x)-f(y)}<\varepsilon. \]

    Suppose first that \[ \abs{x}\leq R \qquad\text{or}\qquad \abs{y}\leq R. \] Since \(\abs{x-y}<1\), both points then belong to \[ [-R-1,R+1]. \] The desired estimate follows from step 2 because \[ \abs{x-y}<\delta\leq\delta_0. \]

    Otherwise \[ \abs{x}>R \qquad\text{and}\qquad \abs{y}>R. \] By step 1, \[ \abs{f(x)}<\frac{\varepsilon}{2}, \qquad \abs{f(y)}<\frac{\varepsilon}{2}. \] Hence \[ \abs{f(x)-f(y)} \leq \abs{f(x)}+\abs{f(y)} < \varepsilon. \] Thus the same \(\delta\) works in every case.

    4. The function \(f\) is uniformly continuous on \(\RR\).

    Step 3 shows that for every \(\varepsilon>0\) there is a single \(\delta>0\), independent of \(x\) and \(y\), such that \[ \abs{x-y}<\delta \quad\Longrightarrow\quad \abs{f(x)-f(y)}<\varepsilon. \] This is the definition of uniform continuity.

    5. Q.E.D.

    Step 4 is the required conclusion.