Measurable function

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In mathematics, measurable functions are well-behaved functions between measurable spaces. Functions studied in analysis that are not measurable are generally considered pathological.

If Σ is a σ-algebra over a set X and Τ is a σ-algebra over Y, then a function f : XY is measurable Σ/Τ if the preimage of every set in Τ is in Σ.

By convention, if Y is some topological space, such as the space of real numbers \mathbb{R} or the complex numbers \mathbb{C}, then the Borel σ-algebra generated by the open sets on Y is used, unless otherwise specified. The measurable space (X,Σ) is also called a Borel space in this case.

If it is clear from the context what Τ and/or Σ are, then the function f may be (and usually is) called Σ-measurable or simply measurable.

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[edit] Special measurable functions

If (X, Σ) and (Y, Τ) are Borel spaces, a measurable function f is also called a Borel function. Continuous functions are Borel but not all Borel functions are continuous. However, a measurable function is nearly a continuous function; see Luzin's theorem.

Random variables are by definition measurable functions defined on sample spaces.

[edit] Properties of measurable functions

  • The sum and product of two real-valued measurable functions are measurable.
  • If a function f is measurable Σ1 / Σ2 and a function g is measurable Σ2 / Τ, then the composition g \circ f is measurable Σ1 / T. [1]
  • The pointwise limit of measurable functions is measurable. (The corresponding statement for continuous functions requires stronger conditions than pointwise convergence, such as uniform convergence.)
  • Only measurable functions can be Lebesgue integrated.
  • A Lebesgue-measurable function is a real function f : RR such that for every real number a, the set
\{x \in \R : f(x)>a \}
is a Lebesgue-measurable set. A useful characterisation of Lebesgue measurable functions is that f is measurable if and only if mid{-g,f,g} is integrable for all non-negative Lebesgue integrable functions g.

[edit] Non-measurable functions

Not all functions are measurable. For example, if A is a non-measurable subset of the real line \R, then its indicator function 1A(x) is non-measurable.

[edit] See also

[edit] Notes

  1. ^ Billingsley, Patrick (1995). Probability and Measure. Wiley. ISBN 0-471-00710-2.