Hadamard derivative

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.{{Cite journal|last=Shapiro|first=Alexander|year=1990|title=On concepts of directional differentiability|journal=Journal of Optimization Theory and Applications|volume=66|issue=3|pages=477–487|doi=10.1007/bf00940933|citeseerx=10.1.1.298.9112|s2cid=120253580}}

Definition

A map \varphi : \mathbb{D}\to \mathbb{E} between Banach spaces \mathbb{D} and \mathbb{E} is Hadamard-directionally differentiable{{Cite journal|last=Shapiro|first=Alexander|year=1991|title=Asymptotic analysis of stochastic programs|journal=Annals of Operations Research|volume=30|issue=1|pages=169–186|doi=10.1007/bf02204815|s2cid=16157084}} at \theta \in \mathbb{D} in the direction h \in \mathbb{D} if there exists a map \varphi_\theta': \, \mathbb{D} \to \mathbb{E} such that

\frac{\varphi(\theta+t_n h_n)-\varphi(\theta)}{t_n} \to \varphi_\theta'(h)

for all sequences h_n \to h and t_n \to 0.

Note that this definition does not require continuity or linearity of the derivative with respect to the direction h. 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 X_n be a sequence of random elements in a Banach space \mathbb{D} (equipped with Borel sigma-field) such that weak convergence \tau_n (X_n-\mu) \to Z holds for some \mu \in \mathbb{D}, some sequence of real numbers \tau_n\to \infty and some random element Z \in \mathbb{D} with values concentrated on a separable subset of \mathbb{D}. Then for a measurable map \varphi: \mathbb{D}\to\mathbb{E} that is Hadamard directionally differentiable at \mu we have \tau_n (\varphi(X_n)-\varphi(\mu)) \to \varphi_\mu'(Z) (where the weak convergence is with respect to Borel sigma-field on the Banach space \mathbb{E}).

This result has applications in optimal inference for wide range of econometric models, including models with partial identification and weak instruments.{{Cite arXiv |last1=Fang|first1=Zheng|last2=Santos|first2=Andres|year=2014|title=Inference on directionally differentiable functions|eprint=1404.3763|class=math.ST}}

See also

  • {{annotated link|Directional derivative}}
  • {{annotated link|Fréchet derivative}} - generalization of the total derivative
  • {{annotated link|Gateaux derivative}}
  • {{annotated link|Generalizations of the derivative}}
  • {{annotated link|Total derivative}}

References

{{reflist}}

{{Analysis in topological vector spaces}}

Category:Directional statistics

Category:Generalizations of the derivative