Statement

Let fS(Rn)f\in\mathcal S(\mathbb R^n), and define its by

f^(ξ)=Rne2πixξf(x)dx.\widehat f(\xi)=\int_{\mathbb R^n}e^{-2\pi i x\cdot\xi}f(x)\,dx .

The Fourier inversion theorem on Schwartz space states that

f(x)=Rne2πixξf^(ξ)dξf(x)=\int_{\mathbb R^n}e^{2\pi i x\cdot\xi}\widehat f(\xi)\,d\xi

for every xRnx\in\mathbb R^n. Equivalently, f^^(x)=f(x)\widehat{\widehat f}(x)=f(-x). Thus the inverse Fourier transform is F1g(x)=g^(x)\mathcal F^{-1}g(x)=\widehat g(-x), and inversion holds both pointwise and in the .

Proof mechanism

One regularizes the inverse integral by a Gaussian factor, interchanges the resulting absolutely convergent integrals using , and evaluates the Gaussian Fourier transform. As the regularization parameter tends to zero, the Gaussian approximate identity converges to ff. Rapid decay controls the limiting passage and permits differentiation, yielding convergence in every Schwartz seminorm Stein–Shakarchi, Chapters 5–6.

Consequences

Inversion proves that the Fourier transform is injective and surjective on S(Rn)\mathcal S(\mathbb R^n). Together with the continuity estimates for weighted derivatives, it makes the transform a topological automorphism. The reflection formula also determines the fourth-power identity F4=id\mathcal F^4=\mathrm{id} under this normalization.

Conventions and scope
References
  1. Elias M. Stein and Rami Shakarchi, Fourier Analysis: An Introduction, Princeton University Press, 2003. DOI record. Relevant: Chapters 5–6, Fourier inversion for Schwartz functions.
  2. Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Wiley, 1999. Publisher record. Relevant: Chapter 8 on Fourier analysis.