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 : X → Y 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
or the complex numbers
, 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
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 : R → R such that for every real number a, the set
-
- 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
, then its indicator function 1A(x) is non-measurable.
[edit] See also
- Vector spaces of measurable functions: the Lp spaces
- Measure-preserving dynamical system
[edit] Notes
- ^ Billingsley, Patrick (1995). Probability and Measure. Wiley. ISBN 0-471-00710-2.


