Samiksha Jaiswal (Editor)

Laplace principle (large deviations theory)

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In mathematics, Laplace's principle is a basic theorem in large deviations theory, similar to Varadhan's lemma. It gives an asymptotic expression for the Lebesgue integral of exp(−θφ(x)) over a fixed set A as θ becomes large. Such expressions can be used, for example, in statistical mechanics to determining the limiting behaviour of a system as the temperature tends to absolute zero.

Contents

Statement of the result

Let A be a Lebesgue-measurable subset of d-dimensional Euclidean space Rd and let φ : Rd → R be a measurable function with

A e φ ( x ) d x < + .

Then

lim θ + 1 θ log A e θ φ ( x ) d x = e s s i n f x A φ ( x ) ,

where ess inf denotes the essential infimum. Heuristically, this may be read as saying that for large θ,

A e θ φ ( x ) d x exp ( θ e s s i n f x A φ ( x ) ) .

Application

The Laplace principle can be applied to the family of probability measures Pθ given by

P θ ( A ) = ( A e θ φ ( x ) d x ) / ( R d e θ φ ( y ) d y )

to give an asymptotic expression for the probability of some set/event A as θ becomes large. For example, if X is a standard normally distributed random variable on R, then

lim ε 0 ε log P [ ε X A ] = e s s i n f x A x 2 2

for every measurable set A.

References

Laplace principle (large deviations theory) Wikipedia


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