Search results for "Gaussian measure"

showing 8 items of 8 documents

Covering and differentiation

1995

CombinatoricsEuclidean distanceDiscrete mathematicsConvex geometryEuclidean spaceEuclidean geometryAffine spaceBall (mathematics)Euclidean distance matrixGaussian measureMathematics
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Interpolation and approximation in L2(γ)

2007

Assume a standard Brownian motion W=(W"t)"t"@?"["0","1"], a Borel function f:R->R such that f(W"1)@?L"2, and the standard Gaussian measure @c on the real line. We characterize that f belongs to the Besov space B"2","q^@q(@c)@?(L"2(@c),D"1","2(@c))"@q","q, obtained via the real interpolation method, by the behavior of a"X(f(X"1);@t)@[email protected]?f(W"1)-P"X^@tf(W"1)@?"L"""2, where @t=(t"i)"i"="0^n is a deterministic time net and P"X^@t:L"2->L"2 the orthogonal projection onto a subspace of 'discrete' stochastic integrals x"[email protected]?"i"="1^nv"i"-"1(X"t"""i-X"t"""i"""-"""1) with X being the Brownian motion or the geometric Brownian motion. By using Hermite polynomial expansions the…

Discrete mathematicsNumerical AnalysisHermite polynomialsGeneric propertyApplied MathematicsGeneral MathematicsLinear equation over a ringGaussian measuresymbols.namesakeWiener processsymbolsBesov spaceMartingale (probability theory)Real lineAnalysisMathematicsJournal of Approximation Theory
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Stochastic differential equations with coefficients in Sobolev spaces

2010

We consider It\^o SDE $\d X_t=\sum_{j=1}^m A_j(X_t) \d w_t^j + A_0(X_t) \d t$ on $\R^d$. The diffusion coefficients $A_1,..., A_m$ are supposed to be in the Sobolev space $W_\text{loc}^{1,p} (\R^d)$ with $p>d$, and to have linear growth; for the drift coefficient $A_0$, we consider two cases: (i) $A_0$ is continuous whose distributional divergence $\delta(A_0)$ w.r.t. the Gaussian measure $\gamma_d$ exists, (ii) $A_0$ has the Sobolev regularity $W_\text{loc}^{1,p'}$ for some $p'>1$. Assume $\int_{\R^d} \exp\big[\lambda_0\bigl(|\delta(A_0)| + \sum_{j=1}^m (|\delta(A_j)|^2 +|\nabla A_j|^2)\bigr)\big] \d\gamma_d0$, in the case (i), if the pathwise uniqueness of solutions holds, then the push-f…

Discrete mathematicsPure mathematicsOrnstein–Uhlenbeck semigroupLebesgue measureSobolev space coefficientsProbability (math.PR)Density60H10 (Primary) 34F05 (Secondary) 60J60 37C10Density estimatePathwise uniquenessGaussian measureLipschitz continuitySobolev spaceStochastic differential equationStochastic flowsGaussian measureBounded functionFOS: Mathematics: Mathematics [G03] [Physical chemical mathematical & earth Sciences]Vector fieldUniqueness: Mathématiques [G03] [Physique chimie mathématiques & sciences de la terre]AnalysisMathematics - ProbabilityMathematics
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An optimal Poincaré-Wirtinger inequality in Gauss space

2013

International audience; Let $\Omega$ be a smooth, convex, unbounded domain of $\mathbb{R}^N$. Denote by $\mu_1(\Omega)$ the first nontrivial Neumann eigenvalue of the Hermite operator in $\Omega$; we prove that $\mu_1(\Omega) \ge 1$. The result is sharp since equality sign is achieved when $\Omega$ is a $N$-dimensional strip. Our estimate can be equivalently viewed as an optimal Poincaré-Wirtinger inequality for functions belonging to the weighted Sobolev space $H^1(\Omega,d\gamma_N)$, where $\gamma_N$ is the $N$% -dimensional Gaussian measure.

Hermite operatorHermite polynomialsGeneral Mathematics010102 general mathematicsGaussMathematics::Spectral TheorySpace (mathematics)Gaussian measure01 natural sciencesOmega35B45; 35P15; 35J70CombinatoricsSobolev spaceSettore MAT/05 - Analisi Matematica0103 physical sciencesDomain (ring theory)[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Neumann eigenvaluesharp bounds010307 mathematical physics0101 mathematicsSign (mathematics)MathematicsMathematical Research Letters
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Sobolev estimates for optimal transport maps on Gaussian spaces

2012

We will study variations in Sobolev spaces of optimal transport maps with the standard Gaussian measure as the reference measure. Some dimension free inequalities will be obtained. As application, we construct solutions to Monge-Ampere equations in finite dimension, as well as on the Wiener space.

Mathematics::Complex VariablesGaussianProbability (math.PR)Mathematics::Analysis of PDEsGaussian measureSobolev spaceStrong solutionssymbols.namesakeFOS: MathematicssymbolsApplied mathematicsEntropy (information theory)Fisher informationMathematics - ProbabilityAnalysisMathematicsJournal of Functional Analysis
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Hilbert-Schmidt Hankel operators on the Segal-Bargmann space

2004

This paper considers Hankel operators on the Segal-Bargmann space of holomorphic functions onCn\mathbb {C}^nthat are square integrable with respect to the Gaussian measure. It is shown that in the case of a bounded symbolg∈L∞(Cn)g \in L^{\infty }(\mathbb {C}^n)the Hankel operatorHgH_gis of the Hilbert-Schmidt class if and only ifHg¯H_{\bar {g}}is Hilbert-Schmidt. In the case where the symbol is square integrable with respect to the Lebesgue measure it is known that the Hilbert-Schmidt norms of the Hankel operatorsHgH_gandHg¯H_{\bar {g}}coincide. But, in general, if we deal with bounded symbols, only the inequality‖Hg‖HS≤2‖Hg¯‖HS\|H_g\|_{HS}\leq 2\|H_{\bar {g}}\|_{HS}can be proved. The resul…

Pure mathematicsCompact spaceLebesgue measureSquare-integrable functionApplied MathematicsGeneral MathematicsBounded functionMathematical analysisHolomorphic functionSpace (mathematics)Gaussian measureHankel matrixMathematicsProceedings of the American Mathematical Society
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Sharp dimension free quantitative estimates for the Gaussian isoperimetric inequality

2017

We provide a full quantitative version of the Gaussian isoperimetric inequality: the difference between the Gaussian perimeter of a given set and a half-space with the same mass controls the gap between the norms of the corresponding barycenters. In particular, it controls the Gaussian measure of the symmetric difference between the set and the half-space oriented so to have the barycenter in the same direction of the set. Our estimate is independent of the dimension, sharp on the decay rate with respect to the gap and with optimal dependence on the mass.

Statistics and ProbabilityGaussianGaussian isoperimetric inequality01 natural sciencesPerimeterSet (abstract data type)symbols.namesakeMathematics - Analysis of PDEsDimension (vector space)quantitative isoperimetric inequalityFOS: MathematicsMathematics::Metric Geometry0101 mathematicsSymmetric differenceGaussian isoperimetric inequalityQuantitative estimatesMathematics010102 general mathematicsMathematical analysisProbability (math.PR)49Q20Gaussian measure010101 applied mathematicssymbolsHigh Energy Physics::Experiment60E15Statistics Probability and UncertaintyMathematics - ProbabilityAnalysis of PDEs (math.AP)
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On the asymptotic behaviour of gaussian spherical integrals

1983

symbols.namesakeAsymptotic analysisSlater integralsGaussianMathematical analysissymbolsAsymptotic expansionGaussian measureSeparable hilbert spaceMathematicsGaussian random field
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