For a bounded sequence in a Hilbert space, put . If , then in norm. Since the are bounded, it suffices that has convergence in density of a sequence to zero. The proof applies the Cauchy-Schwarz inequality to an average of shifted sums.
For complex numbers , , and , put . Then
Extend the sequence by zero, count each summand in consecutive windows, and apply the Cauchy-Schwarz inequality to their sum. Expansion of the squared window sums gives the stated coefficients. Fixing and making each normalized correlation tend to zero bounds the limiting squared average by ; then let tend to infinity. This is the scalar finite form underlying the Van der Corput lemma.

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