A regular tempered distribution on Rn\mathbb R^n is a TfT_f for which there is a locally integrable function ff satisfying

⟨Tf,φ⟩=∫Rnf(x)φ(x) dxfor every φ∈S(Rn).\langle T_f,\varphi\rangle =\int_{\mathbb R^n}f(x)\varphi(x)\,dx \qquad \text{for every }\varphi\in\mathcal S(\mathbb R^n).

Here φ\varphi ranges over the , and local integrability means that ff is on every . In addition, the displayed integral must be absolutely convergent for every Schwartz function and must depend continuously on φ\varphi in the Schwartz topology. Functions equal determine the same regular tempered distribution.

Sufficient growth conditions

If f∈Lloc1(Rn)f\in L^1_{\mathrm{loc}}(\mathbb R^n) and

∣f(x)∣≤C(1+∣x∣)N|f(x)|\leq C(1+|x|)^N

almost everywhere for some C,NC,N, then ff defines a regular tempered distribution. More generally, it suffices that the integral of ∣f∣|f| over balls grow at most polynomially. Pointwise polynomial growth is therefore a convenient sufficient condition, not the definition.

Examples

Every function in for 1≤p≤∞1\leq p\leq\infty defines a regular tempered distribution by , since Schwartz functions belong to the conjugate LqL^q space. Polynomials and bounded give further examples. A function such as e∣x∣e^{|x|} generally fails because multiplication by a Schwartz function need not be integrable.

Regular versus singular

The adjective regular refers to representation by a function, not to smoothness of that function. The Dirac delta and its derivatives are tempered but not regular, since no locally integrable function represents point evaluation on all . Regular distributions are therefore a proper subclass of tempered distributions.

References
  1. Lars Hörmander, The Analysis of Linear Partial Differential Operators I: Distribution Theory and Fourier Analysis, 2nd ed., Springer, 2003. DOI record. Relevant: §§2.1 and 7.1 on regular and tempered distributions.
  2. Robert S. Strichartz, A Guide to Distribution Theory and Fourier Transforms, CRC Press, 1994. Publisher record. Relevant: introductory examples of distributions and tempered distributions.