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A Lipschitz Fréchet derivative gives a quadratic linearization remainder
Statement
Assume Countable Choice. Let and let be Banach spaces over the same field . Let be open and let be continuously Fréchet differentiable over . Thus is bounded -linear for each and In particular, in the complex case is complex-linear and the limit ranges over complex increments. Let be convex and let . If for all , where , then
Facts & Assumptions
Given: Countable Choice, the Banach spaces and map in the Statement, the convex set , points , and the Lipschitz constant .
The Axiom of Countable Choice (): Countable Choice is the choice assumption used by the Banach-valued integral supplier.
Taylor expansion with integral remainder for Banach-valued curves: For a Banach-valued curve on , .
Linearity of the Bochner integral: The Bochner integral is linear.
For a constant vector on with Lebesgue measure, the one-cell simple-function formula Banach-valued simple function and integral gives , since A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included gives .
Bochner integral norm inequality: The norm of a Bochner integral is at most the integral of the norm of its integrand.
Fréchet derivative between Banach spaces: In the real case the Fréchet derivative is bounded real-linear. In the complex case the same-field convention in the Statement makes it bounded complex-linear. In either case it is real-linear along real-parameter increments.
Proof
Given: The assumptions and facts above. Put and for .
Convexity gives for . If and , put . For real with , Fréchet differentiability at gives because is linear over the common field and hence over real scalars. Thus . If , is constant and the same formula holds. Differentiability at every point of also makes and hence continuous on the segment, directly from the Fréchet remainder definition. In either case this derivative is continuous in and extends to the endpoints, since is Lipschitz on . The Banach-valued fundamental theorem [F1] therefore gives . The constant vector function has integral by [F6]. Subtracting that integral and using linearity [F2] gives .
For each , the Lipschitz hypothesis and bounded linearity give . Therefore [F3] and scalar integration give .
Remarks
[F5] Bochner-integrable function: A Bochner integral is defined as the norm limit of integrals of simple-function approximants for a Bochner-integrable function.
Depends on
- Taylor expansion with integral remainder for Banach-valued curves
- Linearity of the Bochner integral
- Bochner integral norm inequality
- Bochner-integrable function
- Banach-valued simple function and integral
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Fréchet derivative between Banach spaces
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
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Sources
- Klaus-Jochen Engel and Rainer Nagel, One-Parameter Semigroups for Linear Evolution Equations, Chapter II, §4.a (standard reference, not scraped)
- David Teschl, Partial Differential Equations: From Classical to Modern, author manuscript (standard reference, not scraped)