Fréchet Differentiability and the Gradient on an Open Subset of a Real Inner Product Space
definitionAnalysisdef:frechet-differentiable-hilbert-2026aDefines differentiability of a real-valued function at a point of an open subset of a real inner product space, with a first-order expansion whose linear part is an inner product against a vector, and defines that vector as the gradient.
In the setting of Real Hilbert Spaces: Standing Notation and Background, let be a real inner product space, with its inner product , norm , distance and zero vector as fixed there, and let be open in the metric space .
1. (Differentiability at a point)¶ Let , let and let . The function is differentiable at with gradient if for every positive there is a positive such that every with satisfies and
The function is differentiable at if it is differentiable at with gradient for some .
2. (The gradient)¶ At most one has the property of clause 1. Indeed, suppose and both have it and let be positive. Let and be radii provided by clause 1 for and for with , positive by claim 8 of Elementary Order Arithmetic in an Ordered Field, in place of , and let be the lesser of and (claim 9 of Elementary Order Arithmetic in an Ordered Field), which is positive because it is one of them. Every with then satisfies
the equality by Elementary Identities in a Real Inner Product Space §bilinear and the inequality by claims 2 and 5 of Properties of the Absolute Value in an Ordered Field. Since was an arbitrary positive real number, Vanishing of Uniformly Small Linear, Quadratic and Bilinear Terms in a Real Inner Product Space §linear gives , whence by the associativity, inverse and identity axioms of the vector space . When is differentiable at we write for the unique with the property of clause 1 and call it the gradient of at .
3. (Differentiability on an open set)¶ The function is differentiable on if it is differentiable at every point of . Its gradient map is then the map sending to .
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