Hadamard derivative

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In mathematics, the Hadamard derivative is a concept of directional derivative for maps between Banach spaces. It is particularly suited for applications in stochastic programming and asymptotic statistics.[1]

Definition

A map between Banach spaces and is Hadamard-directionally differentiable[2] at in the direction if there exists a map such that

for all sequences and .

Note that this definition does not require continuity or linearity of the derivative with respect to the direction . Although continuity follows automatically from the definition, linearity does not.

Relation to other derivatives

Applications

A version of functional delta method holds for Hadamard directionally differentiable maps. Namely, let be a sequence of random elements in a Banach space (equipped with

weak convergence
holds for some , some sequence of real numbers and some random element with values concentrated on a separable subset of . Then for a measurable map that is Hadamard directionally differentiable at we have (where the weak convergence is with respect to Borel sigma-field on the Banach space ).

This result has applications in optimal inference for wide range of

instruments.[3]

See also

References