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In mathematics, a weak derivative is a generalization of the concept of the derivative of a function (strong derivative) for functions not assumed differentiable, but only integrable, i.e. to lie in the Lp space . See distributions for an even more general definition.
Let be a function in the Lebesgue space . We say that in is a weak derivative of if,
for all , that is, for all infinitely differentiable functions with compact support in . If has a weak derivative, it is often written since weak derivatives are unique (at least, up to a set of measure zero, see below).
- The absolute value function u : [−1, 1] → [0, 1], u(t) = |t|, which is not differentiable at t = 0, has a weak derivative v known as the sign function given by
- This is not the only weak derivative for u: any w that is equal to v almost everywhere is also a weak derivative for u. Usually, this is not a problem, since in the theory of Lp spaces and Sobolev spaces, functions that are equal almost everywhere are identified.
- The characteristic function of the rational numbers is nowhere differentiable yet has a weak derivative. Since the Lebesgue measure of the rational numbers is zero,
- Thus is the weak derivative of . Note that this does agree with our intuition since when considered as a member of an Lp space, is identified with the zero function.
If two functions are weak derivatives of the same function, they are equal except on a set with Lebesgue measure zero, i.e., they are equal almost everywhere. If we consider equivalence classes of functions, where two functions are equivalent if they are equal almost everywhere, then the weak derivative is unique.
Also, if u is differentiable in the conventional sense then its weak derivative is identical (in the sense given above) to its conventional (strong) derivative. Thus the weak derivative is a generalization of the strong one. Furthermore, the classical rules for derivatives of sums and products of functions also hold for the weak derivative.
- Gilbarg, D.; Trudinger, N. (2001). Elliptic partial differential equations of second order. Berlin: Springer. p. 149. ISBN 3-540-41160-7.
- Evans, Lawrence C. (1998). Partial differential equations. Providence, R.I.: American Mathematical Society. p. 242. ISBN 0-8218-0772-2.
- Knabner, Peter; Angermann, Lutz (2003). Numerical methods for elliptic and parabolic partial differential equations. New York: Springer. p. 53. ISBN 0-387-95449-X.