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Finite-time bounds for Banach-valued derivatives
Statement
Assume Countable Choice. Let , let be a real or complex Banach space, and suppose in the Bochner distributional sense. Use Lebesgue measure on and the corresponding almost-everywhere conventions. Assume is strongly measurable and . The least essential bound property and Hölder's inequality give . More generally, if and , the Bochner norm convention gives . Consequently a uniform essential time bound, or a uniform bound, on a family's derivatives supplies a uniform bound with the displayed constant.
Statement references
Bochner spaces and bounded inclusion of value spaces
Distributional time derivatives with values in a Banach space
The essential supremum of a measurable function with respect to a measure
The essential supremum is attained as the least essential bound
Holder's inequality for integrals, including the endpoint cases
Facts & Assumptions
Given: Countable Choice, a finite interval with Lebesgue measure, a real or complex Banach value space, strongly measurable derivative representatives, and the stated uniform norm bound.
Goal: Convert the derivative hypothesis to the exact Bochner bound without changing its value space.
The derivative is the Bochner distributional identity, whose norm is the norm of its representative (Distributional time derivatives with values in a Banach space).
The essential supremum is an almost-everywhere bound (The essential supremum is attained as the least essential bound, The essential supremum of a measurable function with respect to a measure).
The Bochner norm convention and finite-exponent conversion are supplied by Bochner spaces and bounded inclusion of value spaces; the conversion is its last assertion, obtained by Holder's inequality for integrals, including the endpoint cases.
A Banach space has its specified real or complex scalar field and complete norm metric (Banach space). Strong measurability is almost-everywhere norm approximation by measurable simple functions (Strongly measurable Banach-valued function).
Under Countable Choice, the one-dimensional open-box case of A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included, with endpoints and , gives .
Countable Choice (The Axiom of Countable Choice (AC_ω)) is assumed to meet the hypotheses of the derivative convention in [F1], the Bochner-space supplier in [F3], and the interval-measure supplier in [F5]. No necessity claim for the scalar norm estimates is asserted.
The endpoint case of Holder's inequality for integrals, including the endpoint cases gives for measurable real-valued and , where .
On , the constant function has simple integral by The integral of a nonnegative simple function. Its nonnegative Lebesgue integral is the same by The nonnegative integral agrees with the simple integral on simple functions. Thus [F5] gives .
Proof
In the essential-bound case, put , the measurable scalar norm representative used in [F3]. The given bound and [F2] give with . By [F5] and [F7], the constant function belongs to with norm . Apply [F6] to and : . Strong measurability and this finite integral make the required representative in [F1], with the norm convention in [F3].
For finite , apply [F3] to on the same interval, under [A1]. This yields the displayed constant . Applying either estimate separately to each family member and then taking the supremum preserves uniformity, proving the final assertion.
Depends on
- Bochner spaces and bounded inclusion of value spaces
- Distributional time derivatives with values in a Banach space
- The essential supremum of a measurable function with respect to a measure
- The essential supremum is attained as the least essential bound
- Holder's inequality for integrals, including the endpoint cases
- Banach space
- Strongly measurable Banach-valued function
- The Axiom of Countable Choice (AC_ω)
- A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included
- The integral of a nonnegative simple function
- The nonnegative integral agrees with the simple integral on simple functions
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