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    Weak and strong convergence of an orthonormal basis and its Cesàro means

    P-JHUSP05AND

    Area
    Real Analysis
    Topics
    Hilbert Spaces, Weak Convergence
    Status
    draft

    Let \(\{e_n\}\) be an orthonormal basis for a Hilbert space \(H\).

    1. Show that \(e_n \to 0\) weakly. (Explain what weak convergence means.)

    2. Show that \(e_n\) does not tend to zero strongly. (Explain what strong convergence means.)

    3. Let \(v_n = \frac{1}{n} \sum_{j=1}^{n} e_j\). Show that \(v_n \to 0\) strongly.

    Solution

    A sequence \(x_n\) in \(H\) converges weakly to \(x\) if \(\phi(x_n)\to\phi(x)\) for every bounded linear functional \(\phi\) on \(H\); by the Riesz representation theorem, if and only if \(\langle x_n,y\rangle\to\langle x,y\rangle\) for every \(y\in H\). It converges strongly to \(x\) if \(\norm{x_n-x}\to0\).

    1. (a) \(e_n\to0\) weakly.

    For \(y\in H\), Bessel’s inequality gives \(\sum_n\abs{\langle y,e_n\rangle}^2\le\norm y^2<\infty\), so the terms \(\abs{\langle e_n,y\rangle}\) tend to \(0\).

    2. (b) \(e_n\) does not tend to \(0\) strongly.

    \(\norm{e_n-0}=\norm{e_n}=1\) for every \(n\).

    3. (c) \(\norm{v_n}=1/\sqrt n\), so \(v_n\to0\) strongly.

    By orthonormality, \(\norm{v_n}^2=\frac1{n^2}\sum_{j,k=1}^n\langle e_j,e_k\rangle=\frac{n}{n^2}=\frac1n\).

    4. Q.E.D.

    Steps 1, 2 and 3 answer parts (a), (b) and (c).