A distribution is a periodic distribution whenIteration 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 giveFor 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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