How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Holder's inequality for random variables
Statement
Let be conjugate exponents. If and are real random variables in the spaces named by the corresponding clause of Holder's inequality for integrals, including the endpoint cases, then
In particular, is integrable.
Facts & Assumptions
Given: Real random variables and conjugate exponents as in the Statement.
Expectation is integration against the probability measure (Expectation of a nonnegative or integrable random variable).
Holder's integral inequality, including the endpoint cases, holds on every measure space (Holder's inequality for integrals, including the endpoint cases).
Proof
Apply [L2] to the measure space . Rewriting the left-hand side with [L1] gives
The same theorem [L2] already states that the right-hand side is finite in every allowed case, so is integrable.
Depends on
Used by
- Cauchy-Schwarz for random variables Corollary
Dependency tree · two levels
14 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- J. R. Norris, Probability and Measure, Theorem 4.4.1 (standard reference, not scraped)