Defines 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 . The word gradient anticipates clause 2, where such a is shown to be unique and is named the gradient of at ; nothing in this clause presupposes that uniqueness.
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 (i) 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 (i) 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 .
Loading…
No relations recorded yet.