Lebesgue decomposition theorem

E898510

The Lebesgue decomposition theorem is a fundamental result in measure theory that states any σ-finite measure can be uniquely decomposed into a part that is absolutely continuous with respect to another measure and a part that is singular to it.

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Lebesgue decomposition theorem canonical 1

Statements (48)

Predicate Object
instanceOf result in mathematical analysis
theorem in measure theory
appliesTo finite measures
positive measures
σ-finite measures
assumes σ-algebra of measurable sets
characterizes part of a measure that is absolutely continuous with respect to ν
part of a measure that is concentrated on a ν-null set
classification fundamental decomposition theorem for measures
context integration with respect to different measures
modern measure-theoretic foundations of probability
describes decomposition of a measure relative to another measure
field measure theory
formalStatement Given σ-finite measures μ and ν on a measurable space, there exist unique measures μ_ac and μ_s such that μ = μ_ac + μ_s, μ_ac ≪ ν, and μ_s ⟂ ν NERFINISHED
generalizes Lebesgue decomposition of distribution functions
guarantees uniqueness of the absolutely continuous component
uniqueness of the singular component
hasConsequence every measure can be split into continuous and singular parts relative to a reference measure
structure theorem for measures on a measurable space
holdsOn a common measurable space for μ and ν
implies existence of a Radon–Nikodym derivative dμ_ac/dν
involvesConcept Radon–Nikodym derivative NERFINISHED
absolute continuity of measures
measure decomposition
mutual singularity of measures
singular measures
isToolFor analyzing relationships between two measures
describing singular components of distributions
disintegrating probability measures
namedAfter Henri Lebesgue NERFINISHED
relatedTo Jordan decomposition theorem NERFINISHED
Lebesgue–Stieltjes measures NERFINISHED
Lebesgue’s decomposition of measures into discrete and continuous parts NERFINISHED
Radon–Nikodym theorem NERFINISHED
requires σ-finiteness of the reference measure
statesThat any σ-finite measure μ can be decomposed into μ_ac + μ_s relative to another σ-finite measure ν
the decomposition μ = μ_ac + μ_s is unique
μ_ac is absolutely continuous with respect to ν
μ_s is singular with respect to ν
symbolicForm μ = μ_ac + μ_s with μ_ac ≪ ν and μ_s ⟂ ν
usedIn ergodic theory
functional analysis
harmonic analysis
probability theory
spectral theory
stochastic processes
usesNotation μ ≪ ν for absolute continuity
μ ⟂ ν for mutual singularity

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Henri Lebesgue notableConcept Lebesgue decomposition theorem