Definition

Let TT be a on an open set ΩRn\Omega\subseteq\mathbb R^n. For a multi-index α\alpha, its distributional derivative αT\partial^\alpha T is the distribution defined by

αT,φ=(1)αT,αφ\langle\partial^\alpha T,\varphi\rangle =(-1)^{|\alpha|}\langle T,\partial^\alpha\varphi\rangle

for every φ\varphi in the . The sign is the one forced by repeated . Continuity of φαφ\varphi\mapsto\partial^\alpha\varphi on the test-function space ensures that αT\partial^\alpha T is again a distribution. For α=1|\alpha|=1, this extends the classical .

Agreement with classical differentiation

If ff is continuously differentiable and TfT_f is the distribution induced by ff, integration by parts gives

jTf=Tjf.\partial_jT_f=T_{\partial_jf}.

No boundary term appears because test functions have compact support inside Ω\Omega. Hence the generalized definition does not alter classical derivatives where those derivatives exist.

Singular derivatives

Distributional differentiation can detect jumps. On R\mathbb R, the Heaviside function HH defines a regular distribution and satisfies H=δ0H'=\delta_0. More generally, differentiating a piecewise smooth function produces its ordinary derivative away from jumps together with delta terms whose coefficients are the jump sizes.

Algebraic properties

Distributional derivatives are linear, commute with one another, and exist to every order for every distribution. If aa is smooth, the product rule

j(aT)=(ja)T+ajT\partial_j(aT)=(\partial_ja)T+a\,\partial_jT

holds. These properties let differential operators with smooth coefficients act on distributions without requiring pointwise differentiability Hörmander, §2.1.

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 on differentiation of distributions.
  2. F. G. Friedlander and M. Joshi, Introduction to the Theory of Distributions, 2nd ed., Cambridge University Press, 1998. Publisher record. Relevant: Chapter 2 on operations on distributions.