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Physical Measure


A physical measure is an invariant measure whose long-term statistical averages describe a set of initial points of positive reference volume. More precisely, let T:X->X be a continuous map of a compact metric space with a specified finite reference Borel measure m. An invariant Borel measure mu that is a probability measure is physical relative to m if the set of points x satisfying

 lim_(n->infty)1/nsum_(j=0)^(n-1)f(T^j(x))=int_Xfdmu

for every continuous function f:X->R has positive m-measure (Young 2002). The usual reference is ambient Lebesgue measure, or volume coming from a Riemannian metric. The reference measure is part of the definition.

The reference measure matters: a set of full mu-measure can have zero m-measure. On a compact interval, an ergodic measure with a probability density function relative to Lebesgue measure is physical. Indeed, apply Birkhoff's ergodic theorem to a countable set of continuous functions that is dense in the uniform norm. Uniform approximation extends convergence to every continuous function on a common set of full mu-measure. This set must have positive Lebesgue measure. A physical measure need not have a probability density function.


See also

Ergodic Measure, Invariant Measure, Natural Invariant

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References

Young, L.-S. "What Are SRB Measures, and Which Dynamical Systems Have Them?" J. Stat. Phys. 108, 733-754, 2002. https://doi.org/10.1023/A:1019762724717.

Cite this as:

Weisstein, Eric W. "Physical Measure." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/PhysicalMeasure.html

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