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Lebesgue's decomposition theorem

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In mathematics, more precisely in measure theory, the Lebesgue decomposition theorem[1] provides a way to decompose a measure into two distinct parts based on their relationship with another measure.

Formal Statement

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The theorem states that if (Ω,Σ) is a measurable space and μ and ν are σ-finite signed measures on Σ, then there exist two uniquely determined σ-finite signed measures ν0 and ν1 such that:[2][3]

Refinement

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Lebesgue's decomposition theorem can be refined in a number of ways. First, as the Lebesgue–Radon–Nikodym theorem. That is, let (Ω,Σ) be a measure space, μ a σ-finite positive measure on Σ and λ a complex measure on Σ.[4]

  • There is a unique pair of complex measures on Σ such that λ=λa+λs,λa≪μ,λs⊥μ. If λ is positive and finite, then so are λa and λs.
  • There is a unique h∈L1(μ) such that λa(E)=∫Ehdμ,E∈Σ.

The first assertion follows from the Lebesgue decomposition, the second is known as the Radon–Nikodym theorem. That is, the function h is a Radon–Nikodym derivative that can be expressed as h=dλadμ.

An alternative refinement is that of the decomposition of a regular Borel measure[5][6][7] ν=νac+νsc+νpp, where

  • νac≪μ is the absolutely continuous part
  • νsc⊥μ is the singular continuous part
  • νpp is the pure point part (a discrete measure).

The absolutely continuous measures are classified by the Radon–Nikodym theorem, and discrete measures are easily understood. Hence (singular continuous measures aside), Lebesgue decomposition gives a very explicit description of measures. The Cantor measure (the probability measure on the real line whose cumulative distribution function is the Cantor function) is an example of a singular continuous measure.

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Lévy–Itō decomposition

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The analogous[citation needed] decomposition for a stochastic processes is the Lévy–Itō decomposition: given a Lévy process X, it can be decomposed as a sum of three independent Lévy processes X=X(1)+X(2)+X(3) where:

See also

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Notes

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  1. ↑ Hewitt & Stromberg 1965, Chapter V, § 19, (19.42) Lebesgue Decomposition Theorem.
  2. ↑ Halmos 1974, Section 32, Theorem C.
  3. ↑ Swartz 1994, p. 141.
  4. ↑ Rudin 1974, Section 6.9, The Theorem of Lebesgue–Radon–Nikodym.
  5. ↑ Hewitt & Stromberg 1965, Chapter V, § 19, (19.61) Theorem.
  6. ↑ Reed & Simon 1981, pp. 22–25.
  7. ↑ Simon 2005, p. 43.

References

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  • Halmos, Paul R. (1974) [1950], Measure Theory, Graduate Texts in Mathematics, vol. 18, New York, Heidelberg, Berlin: Springer-Verlag, ISBN 978-0-387-90088-9, MR 0033869, Zbl 0283.28001
  • Hewitt, Edwin; Stromberg, Karl (1965), Real and Abstract Analysis. A Modern Treatment of the Theory of Functions of a Real Variable, Graduate Texts in Mathematics, vol. 25, Berlin, Heidelberg, New York: Springer-Verlag, ISBN 978-0-387-90138-1, MR 0188387, Zbl 0137.03202
  • Reed, Michael; Simon, Barry (1981-01-11), I: Functional Analysis, San Diego, Calif.: Academic Press, ISBN 978-0-12-585050-6
  • Rudin, Walter (1974), Real and Complex Analysis, McGraw-Hill Series in Higher Mathematics (2nd ed.), New York, Düsseldorf, Johannesburg: McGraw-Hill Book Comp., ISBN 0-07-054233-3, MR 0344043, Zbl 0278.26001
  • Simon, Barry (2005), Orthogonal polynomials on the unit circle. Part 1. Classical theory, American Mathematical Society Colloquium Publications, vol. 54, Providence, R.I.: American Mathematical Society, ISBN 978-0-8218-3446-6, MR 2105088
  • Swartz, Charles (1994), Measure, Integration and Function Spaces, WORLD SCIENTIFIC, doi:10.1142/2223, ISBN 978-981-02-1610-8

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