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In [[mathematics]] &mdash; specifically, in [[measure theory]] &mdash; '''Fernique's theorem''' is a result about [[Gaussian measure]]s on [[Banach space]]s. It extends the finite-dimensional result that a Gaussian [[random variable]] has [[Exponential function|exponential]] tails. The result was proved in 1970 by the [[mathematician]] [[Xavier Fernique]].


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==Statement of the theorem==
Let (''X'',&nbsp;||&nbsp;||) be a [[separable space|separable]] Banach space. Let ''&mu;'' be a centered Gaussian measure on ''X'', i.e. a [[probability measure]] defined on the [[Borel set]]s of ''X'' such that, for every [[bounded linear functional]] ''ℓ''&nbsp;:&nbsp;''X''&nbsp;→&nbsp;'''R''', the [[push-forward measure]] ''ℓ''<sub></sub>''&mu;'' defined on the [[Borel sets]] of '''R''' by
 
:<math>( \ell_{\ast} \mu ) (A) = \mu ( \ell^{-1} (A) ), </math>
 
is a Gaussian measure (a [[normal distribution]]) with zero [[expected value|mean]]. Then there exists ''&alpha;''&nbsp;&gt;&nbsp;0 such that
 
:<math>\int_{X} \exp ( \alpha \| x \|^{2} ) \, \mathrm{d} \mu (x) < + \infty.</math>
 
''[[A fortiori]]'', ''&mu;'' (equivalently, any ''X''-valued random variable ''G'' whose [[probability distribution|law]] is ''&mu;'') has [[moment (mathematics)|moments]] of all orders: for all ''k''&nbsp;≥&nbsp;0,
 
:<math>\mathbb{E} [ \| G \|^{k} ] = \int_{X} \| x \|^{k} \, \mathrm{d} \mu (x) < + \infty.</math>
 
==References==
* {{cite journal
| last = Fernique
| first = Xavier
| title = Intégrabilité des vecteurs gaussiens
| journal = C. R. Acad. Sci. Paris Sér. A-B
| volume = 270
| year = 1970
| pages = A1698&ndash;A1699
}} {{MathSciNet|id=0266263}}
 
* [[Giuseppe Da Prato]] and [[Jerzy Zabczyk]], Stochastic equations in infinite dimension, Cambridge University Press, 1992. Theorem 2.6
 
[[Category:Probability theorems]]
[[Category:Theorems in measure theory]]
 
 
{{mathanalysis-stub}}

Revision as of 05:08, 19 March 2013

In mathematics — specifically, in measure theoryFernique's theorem is a result about Gaussian measures on Banach spaces. It extends the finite-dimensional result that a Gaussian random variable has exponential tails. The result was proved in 1970 by the mathematician Xavier Fernique.

Statement of the theorem

Let (X, || ||) be a separable Banach space. Let μ be a centered Gaussian measure on X, i.e. a probability measure defined on the Borel sets of X such that, for every bounded linear functional  : X → R, the push-forward measure μ defined on the Borel sets of R by

(μ)(A)=μ(1(A)),

is a Gaussian measure (a normal distribution) with zero mean. Then there exists α > 0 such that

Xexp(αx2)dμ(x)<+.

A fortiori, μ (equivalently, any X-valued random variable G whose law is μ) has moments of all orders: for all k ≥ 0,

𝔼[Gk]=Xxkdμ(x)<+.

References

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