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Article Dans Une Revue Advances in Applied Mathematics Année : 2017

Computing gaussian & exponential measures of semi-algebraic sets

Résumé

We provide a numerical scheme to approximate as closely as desired the Gaussian or exponential measure $\mu(\om)$ of (not necessarily compact) basic semi-algebraic sets $\om\subset\R^n$. We obtain two monotone (non increasing and non decreasing) sequences of upper and lower bounds $(\overline{\omega}_d)$, $(\underline{\omega}_d)$, $d\in\N$, each converging to $\mu(\om)$ as $d\to\infty$. For each $d$, computing $\overline{\omega}_d$ or $\underline{\omega}_d$ reduces to solving a semidefinite program whose size increases with $d$. Some preliminary (small dimension) computational experiments are encouraging and illustrate the potential of the method. The method also works for any measure whose moments are known and which satisfies Carleman's condition.
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Dates et versions

hal-01185641 , version 1 (20-08-2015)
hal-01185641 , version 2 (10-07-2017)

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Citer

Jean-Bernard Lasserre. Computing gaussian & exponential measures of semi-algebraic sets. Advances in Applied Mathematics, 2017, 91, pp.137-163. ⟨hal-01185641v2⟩
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