Lebesgue spaces

E87728

Lebesgue spaces are function spaces, denoted \(L^p\), that consist of measurable functions whose absolute values raised to the \(p\)-th power are integrable, forming a fundamental framework in modern analysis and probability theory.

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Statements (47)

Predicate Object
instanceOf Banach space family
function space family
mathematical concept
alsoKnownAs Lp spaces
application Fourier analysis
ergodic theory
harmonic analysis
interpolation theory
partial differential equations
probability theory
basedOn Lebesgue measure
measure space
definedOn measure space (X, Σ, μ)
definingCondition f is essentially bounded for p = ∞
|f|^p is integrable
∫ |f|^p dμ < ∞ for 1 ≤ p < ∞
duality (L^p)* ≅ L^q for 1 < p < ∞ and 1/p + 1/q = 1
elementType equivalence classes of measurable functions
equivalenceRelation equality almost everywhere
field functional analysis
measure theory
probability theory
inequality Hölder inequality holds in L^p spaces
Minkowski inequality holds in L^p spaces
introducedBy Henri Lebesgue
L1Definition integrable functions
L1Dual L^∞ in many standard measure spaces
L2Definition square-integrable functions
L2InnerProduct ∫ f·conjugate(g) dμ
L2Is Hilbert space
LInfinityDefinition essentially bounded measurable functions
LInfinityDual larger than L^1 in general
LpDefinition p-integrable functions
LpInclusion L^q ⊆ L^p under suitable measure conditions when q > p
norm (∫ |f|^p dμ)^{1/p} for 1 ≤ p < ∞
essential supremum norm for p = ∞
notation L^p
parameter p
parameterRange 1 ≤ p ≤ ∞
property Banach spaces for 1 ≤ p ≤ ∞
complete normed spaces
relatedConcept Banach spaces
surface form: Banach function spaces

Orlicz spaces
Sobolev spaces
role fundamental framework in modern analysis
standard setting for random variables in probability theory
specialCase Hilbert space when p = 2

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Full triples — surface form annotated when it differs from this entity's canonical label.

Minkowski inequality holdsIn Lebesgue spaces