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Quadratic velocity tensors are Bochner integrable
Statement
Assume the Axiom of Countable Choice. Let and be as in the Definition, and let use the Frobenius norm on matrices. For , the pointwise tensor defines an element of , independent of the representatives, and For any probability space and strongly measurable with , both and are strongly measurable Bochner-integrable maps into and , respectively, and
Statement references
Facts & Assumptions
Given: The finite measure space and from the Definition; Countable Choice; a probability space ; and a strongly measurable -valued map with .
Countable Choice, , selects from a countable family of nonempty sets (The Axiom of Countable Choice ()).
Elements of are almost-everywhere equivalence classes of measurable functions (The space as the quotient by null functions).
Strong measurability supplies measurable simple maps converging in norm outside a measurable null set (Strongly measurable Banach-valued function).
Holder's inequality bounds the integral of a product of two functions by the product of their norms (Holder's inequality for integrals, including the endpoint cases).
Under , scalar is complete for (Riesz-Fischer completeness of for ).
A strongly measurable Banach-valued map is Bochner integrable when its norm has finite integral (Bochner integrability criterion).
Proof
Given: The data and hypotheses in the Statement.
By [A1] and [F4], scalar and are complete. The norm is the finite product of the component norms. For a matrix field , , and Thus a Cauchy sequence in either or is Cauchy in each scalar component; the component limits exist by [F4], and the displayed norm formulas show convergence to their assembled vector or matrix field. Hence and are Banach spaces under [A1].
For representatives , the Frobenius norm satisfies . Holder's inequality [F3] therefore gives . Changing either representative on a null set changes the product only on a null set [F1], so the tensor is well-defined as a -class. The same estimate applied to differences proves continuity of the bilinear tensor map.
By [F2], choose simple -valued maps with in outside a measurable null set. Each is a finite-valued measurable -valued simple map. Step 1.2 gives outside that null set, since norm convergence makes bounded there. Hence is strongly measurable.
Holder's inequality on the probability space gives . Together with the given strong measurability, [F5] makes Bochner integrable. The identity gives for almost every , so its norm is integrable as well; [F5] and step 2.1 make Bochner integrable and yield the displayed norm identity.