Hubbry Logo
Weak derivativeWeak derivativeMain
Open search
Weak derivative
Community hub
Weak derivative
logo
7 pages, 0 posts
0 subscribers
Be the first to start a discussion here.
Be the first to start a discussion here.
Weak derivative
Weak derivative
from Wikipedia

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 .

The method of integration by parts holds that for smooth functions and we have

A function u' being the weak derivative of u is essentially defined by the requirement that this equation must hold for all smooth functions vanishing at the boundary points ().

Definition

[edit]

Let be a function in the Lebesgue space . We say that in is a weak derivative of if

for all infinitely differentiable functions with .[1][2]

Generalizing to dimensions, if and are in the space of locally integrable functions for some open set , and if is a multi-index, we say that is the -weak derivative of if

for all , that is, for all infinitely differentiable functions with compact support in . Here is defined as

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).[3]

Examples

[edit]
  • The absolute value function , which is not differentiable at has a weak derivative known as the sign function, and 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. For example, the definition of v(0) above could be replaced with any desired real number. Usually, the existence of multiple solutions is not a problem, since functions are considered to be equivalent in the theory of Lp spaces and Sobolev spaces if they are equal almost everywhere.
  • 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 a 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.
  • The Cantor function c does not have a weak derivative, despite being differentiable almost everywhere. This is because any weak derivative of c would have to be equal almost everywhere to the classical derivative of c, which is zero almost everywhere. But the zero function is not a weak derivative of c, as can be seen by comparing against an appropriate test function . More theoretically, c does not have a weak derivative because its distributional derivative, namely the Cantor distribution, is a singular measure and therefore cannot be represented by a function.

Properties

[edit]

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 such that 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.

Extensions

[edit]

This concept gives rise to the definition of weak solutions in Sobolev spaces, which are useful for problems of differential equations and in functional analysis.

See also

[edit]

References

[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In mathematics, particularly within the fields of and partial differential equations (PDEs), the weak derivative provides a generalized notion of differentiation for functions that may not possess classical () derivatives, enabling the study of solutions to PDEs in a broader sense. Specifically, for a function uLloc1(Ω)u \in L^1_{\mathrm{loc}}(\Omega), where ΩRn\Omega \subset \mathbb{R}^n is an , a function vLloc1(Ω)v \in L^1_{\mathrm{loc}}(\Omega) is called the weak iu\partial_i u (with respect to the ii-th variable) if it satisfies the integration-by-parts identity Ωuiϕdx=Ωvϕdx\int_\Omega u \partial_i \phi \, dx = -\int_\Omega v \phi \, dx for all smooth test functions ϕCc(Ω)\phi \in C^\infty_c(\Omega) with compact support in Ω\Omega. This definition, which formalizes the distributional sense of differentiation, ensures uniqueness up to sets of measure zero and coincides with the classical whenever uu is sufficiently smooth (e.g., continuously differentiable). The concept of weak derivatives originated in the early 20th century through work by Italian mathematicians such as Beppo Levi and Guido Fubini, who developed it in the context of variational problems like the Dirichlet principle for minimal surfaces; it was later formalized in the framework of Sobolev spaces by Sergei Sobolev in the 1930s, with the spaces named after him in the 1950s despite initial objections to alternative naming conventions. Weak derivatives are fundamental to Sobolev spaces Wk,p(Ω)W^{k,p}(\Omega), which consist of functions in Lp(Ω)L^p(\Omega) (for 1p1 \leq p \leq \infty) whose weak derivatives up to order kk also belong to Lp(Ω)L^p(\Omega), equipped with a norm that measures both the function and its derivatives in the LpL^p-sense. These spaces facilitate the analysis of weak solutions to PDEs, where classical solutions may not exist due to discontinuities or singularities, and support key properties such as the for differentiation (when one factor is smooth) and commutativity of mixed partials. Examples illustrate the scope and limitations of weak differentiability: the function x|x| in one dimension has weak derivative sgn(x)\operatorname{sgn}(x), which is discontinuous but integrable, while the lacks a weak derivative in Lloc1L^1_{\mathrm{loc}} due to the failure of the integration-by-parts formula. More generally, functions like the , which is continuous and differentiable but whose "derivative" is not integrable, are not weakly differentiable. Weak derivatives thus bridge classical with modern PDE theory, underpinning approximation techniques like mollification, where convolving with smooth kernels yields smooth approximations whose derivatives converge weakly.

Background and Motivation

Prerequisites in Measure Theory

Lebesgue integrable functions form the space L1(Ω)L^1(\Omega), consisting of measurable functions f:ΩRf: \Omega \to \mathbb{R} (where ΩRn\Omega \subset \mathbb{R}^n is an with ) such that Ωfdx<\int_\Omega |f| \, dx < \infty. Elements of L1(Ω)L^1(\Omega) are equivalence classes of functions that agree almost everywhere with respect to the , meaning two functions are identified if their difference vanishes on a set of measure zero. This identification ensures that the integral is well-defined and independent of values on null sets, preserving the vector space structure under addition and scalar multiplication. More generally, the LpL^p spaces for 1p<1 \leq p < \infty comprise equivalence classes of measurable functions ff satisfying fLp=(Ωfpdx)1/p<\|f\|_{L^p} = \left( \int_\Omega |f|^p \, dx \right)^{1/p} < \infty, while for p=p = \infty, L(Ω)L^\infty(\Omega) consists of essentially bounded functions with fL=\esssupΩf<\|f\|_{L^\infty} = \esssup_\Omega |f| < \infty. These spaces are complete normed vector spaces, known as Banach spaces, which guarantees the convergence of Cauchy sequences in the LpL^p norm. A key approximation property is the density of smooth functions with compact support, Cc(Ω)C_c^\infty(\Omega), in Lp(Ω)L^p(\Omega) for 1p<1 \leq p < \infty; this follows from the density of simple functions and the ability to approximate them by mollification with smooth kernels. Sobolev spaces Wk,p(Ω)W^{k,p}(\Omega) provide the natural framework for weak derivatives, defined as the subspace of Lp(Ω)L^p(\Omega) consisting of functions whose weak partial derivatives up to order kk (in the distributional sense) also belong to Lp(Ω)L^p(\Omega), for integer k0k \geq 0 and 1p1 \leq p \leq \infty. The associated norm is given by uWk,p(Ω)=(αkDαuLp(Ω)p)1/p\|u\|_{W^{k,p}(\Omega)} = \left( \sum_{|\alpha| \leq k} \|D^\alpha u\|_{L^p(\Omega)}^p \right)^{1/p}
Add your contribution
Related Hubs
User Avatar
No comments yet.