Let be independent and identically distributed random variables taking and with equal probabilities, the Rademacher distribution. The two opposite complex exponentials give . Their expected value is zero and their variance is one. For , the characteristic functions of its sample mean and its variance normalization are respectively
For each fixed , the bases are positive for all sufficiently large . The Taylor expansion at zero then gives
Exponentiating proves the two displayed pointwise limits. The first limit is the characteristic function of the constant zero; the second is that of the standard normal distribution. The Lévy continuity theorem gives the corresponding convergence in distribution statements. Averaging has variance , whereas dividing the sum by preserves variance one. This sign calculation illustrates why the law of large numbers and the central limit theorem use different scales; it is not a proof for arbitrary probability distributions.

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