A functional derivative represents the linear first-order response of a functional to a perturbation of its input function. With a specified integration measure and admissible perturbations,
For , direct expansion gives . For , integration by parts gives when the boundary term vanishes under the chosen perturbation conditions. The boundary conditions and function space are therefore part of identifying the derivative, rather than optional details.
Let be a Fréchet differentiable functional on a Banach space. Its first-order expansion is
for fixed as . Differentiability alone gives this little-o remainder; it does not imply the remainder displayed in the usual second-order-bounded form.
For that stronger bound, suppose the derivative is locally Lipschitz in operator norm with constant . The fundamental theorem of calculus along the line segment gives
so the remainder has magnitude at most . A locally bounded continuous second Fréchet derivative is a sufficient hypothesis. Where a functional derivative represents by an integral, the corresponding coefficient is .
Taking therefore produces the linear change . That is the cancellation used in the equivalence theorem for field redefinitions. The functional Jacobian and transformed operator insertions still need consistent treatment; the Taylor estimate is a statement about the specified function space and admissible deformation.
Along a differentiable path of fields , a differentiable functional obeys
Integrating in time expresses the functional change as the line integral of its functional derivative along the path.

Ancestors (6)

  1. Functional
  2. Calculus of variations
  3. Analysis
  4. Area of mathematics
  5. Mathematics
  6. Home

Discussion (0) New discussion

There are no discussions about this article yet.

Articles by others on the same topic (1)

The concept of a functional derivative is a generalization of the ordinary derivative to functionals, which are mappings from a space of functions to the real numbers (or complex numbers). In essence, while a regular derivative gives the rate of change of a function with respect to its variables, a functional derivative captures the rate of change of a functional with respect to changes in the function it depends on.