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Minkowski's inequality for integrals, including
Statement
Let be a measure space.
- If and , then
- If , then
Facts & Assumptions
Given: A measure space and functions in the spaces named in the relevant clause of the Statement.
Holder's inequality for integrals is available (Holder's inequality for integrals, including the endpoint cases).
Membership in and is defined in The function space for and The space of essentially bounded measurable functions.
If , then almost everywhere (The essential supremum is attained as the least essential bound).
The nonnegative integral is monotone and homogeneous (Monotonicity and nonnegative homogeneity of the nonnegative integral).
The nonnegative integral is additive (Additivity of the nonnegative Lebesgue integral).
Holder's inequality for finite sums gives, for nonnegative reals , when (Holder's inequality for finite sums and conjugate real exponents).
Proof
If , then pointwise, so [L4, L5, given]
Assume and let . Then [L1, L2, L4, L5, L6, given, algebra] Indeed, [L6] applied pointwise to the two-term families and gives so pointwise. Thus . Put . If , the claim is immediate. Otherwise Because , the function lies in and has -norm . Integrating and applying [L1] with conjugate exponents and to each term yields Since , this becomes If , divide by to obtain the claim.
For , let and . Then [L2, L3, given] Indeed, outside the union of the two null exceptional sets supplied by [L3], one has and . Therefore .
Steps 1.1, 1.2, and 1.3 prove the , , and cases.
Depends on
- Holder's inequality for integrals, including the endpoint cases
- The function space $\mathcal{L}^p(\mu)$ for $0 < p < \infty$
- The space $L^\infty(\mu)$ of essentially bounded measurable functions
- The essential supremum is attained as the least essential bound
- Monotonicity and nonnegative homogeneity of the nonnegative integral
- Monotone convergence for the integral
- Additivity of the nonnegative Lebesgue integral
- Holder's inequality for finite sums and conjugate real exponents
Used by
- On a finite counting space, Minkowski agrees with the published finite theorem for p>1 Remark
- Equality in Minkowski's inequality for 1 < p < ∞ Theorem
- Lᵖ and L^∞ are vector spaces for p ≥ 1 Theorem
- Riesz-Fischer completeness of Lᵖ for 1 ≤ p ≤ ∞ Theorem
- The Lᵖ norm descends to the quotient and makes Lᵖ a normed space for 1 ≤ p ≤ ∞ Theorem
Dependency tree · two levels
28 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
- Sheldon Axler, Measure, Integration & Real Analysis, Minkowski's Inequality (standard reference, not scraped)
- John K. Hunter, Measure Theory, Theorem 7.5 (standard reference, not scraped)