A distribution is a periodic distribution when
Iteration gives invariance under all integer multiples of . For a tempered distribution the identity also holds for every Schwartz function, since test functions are dense in the Schwartz space: multiplying by cutoff functions equal to one near zero gives such an approximation in every Schwartz seminorm.
For define . The smooth periodic partition of unity gives with convergence in the Schwartz space. Indeed, each is supported where , and the generalized Leibniz rule and arbitrarily rapid decay of the derivatives of give, for every ,
Consequently continuity and periodicity of the tempered distribution give
For the last interchange, all summands have the fixed compact support of and their derivatives decrease faster than any power of . Hence the series converges in the space of test functions, as well as in the Schwartz space. Notice that itself need not be a Schwartz function; the factor makes the pairing legitimate.

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