For the angular-frequency Fourier transform and Schwartz seminorms , every output seminorm is bounded by finitely many input seminorms. To prove this, differentiation under the integral sign and integration by parts give
The generalized Leibniz rule, , and imply
This proves continuity of the Fourier transform on the Schwartz space and rapid decay of every transformed derivative.
Use the Fourier transform convention , with complex-linear distribution pairings throughout. The Riemann-Lebesgue lemma says that, for an integrable function , its Fourier transform is continuous and tends to zero as . It also satisfies . The product rule, or convolution theorem, is
Here belongs to by Tonelli's theorem, and Fubini's theorem proves the displayed identity. The companion Fourier product formula, for Schwartz functions, is .
A Schwartz function is a smooth function for which every Schwartz seminorm
is finite. These seminorms define the topology of the Schwartz space . In particular,
Thus every Schwartz function is an integrable function.
The Fourier bounds for Schwartz functions assert that each Schwartz seminorm of is bounded by finitely many Schwartz seminorms of . Explicitly, differentiation under the integral sign and integration by parts give
so the generalized Leibniz rule and the preceding integrability estimate give
In particular the Fourier transform maps the Schwartz space continuously into itself.
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.
The generalized Leibniz rule follows by mathematical induction. The case is the identity . Suppose the formula holds for and differentiate every term using the product rule:
For an interior index , the coefficient of becomes by Pascal's identity. The two endpoint coefficients are one. This proves
Only finitely many derivatives are involved; it suffices that both functions are times differentiable.
For and , the derivatives of beyond order two vanish. The three surviving terms of the generalized Leibniz rule give
The simplified expression works for every integer , including the two cases where one or more of the three terms are absent.
For and , use . Again only three terms survive. With , they are
Since and , this becomes
The factors and remove the nonexistent terms when or .
For functions with the required derivatives, the Leibniz rule is
At it is immediate. If it holds at , differentiating each summand gives two sums. The coefficient of after regrouping is by Pascal's identity, including the two endpoint terms. This proves the formula by mathematical induction.
Apply it to and then expand the derivatives of . For , the resulting coefficient is . Consequently
where range over nonnegative integers. This is the three-factor generalized Leibniz rule.