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On the absolute continuity of random nodal volumes
- Source :
- Annals of Probability, Annals of Probability, 2020, 48 (5), pp.2145-2175. ⟨10.1214/19-AOP1418⟩, Ann. Probab. 48, no. 5 (2020), 2145-2175, Annals of Probability, Institute of Mathematical Statistics, 2020, 48 (5), pp.2145-2175. ⟨10.1214/19-AOP1418⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; We study the absolute continuity with respect to the Lebesgue measure of the distribution of the nodal volume associated with a smooth, non-degenerated and stationary Gaussian field $(f(x), {x \in \mathbb R^d})$. Under mild conditions, we prove that in dimension $d\geq 3$, the distribution of the nodal volume has an absolutely continuous component plus a possible singular part. This singular part is actually unavoidable baring in mind that some Gaussian processes have a positive probability to keep a constant sign on some compact domain. Our strategy mainly consists in proving closed Kac--Rice type formulas allowing one to express the volume of the set $\{f =0\}$ as integrals of explicit functionals of $(f,\nabla f,\text{Hess}(f))$ and next to deduce that the random nodal volume belongs to the domain of a suitable Malliavin gradient. The celebrated Bouleau--Hirsch criterion then gives conditions ensuring the absolute continuity.
- Subjects :
- Statistics and Probability
Pure mathematics
Dimension (graph theory)
Type (model theory)
symbols.namesake
60H07
30C15
FOS: Mathematics
Nabla symbol
[MATH]Mathematics [math]
Gaussian process
Nodal volume
Mathematics
Lebesgue measure
Probability (math.PR)
Absolute continuity
Kac–Rice formula
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Distribution (mathematics)
symbols
absolute continuity
Statistics, Probability and Uncertainty
26C10
42A05
Mathematics - Probability
Sign (mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 00911798 and 2168894X
- Database :
- OpenAIRE
- Journal :
- Annals of Probability, Annals of Probability, 2020, 48 (5), pp.2145-2175. ⟨10.1214/19-AOP1418⟩, Ann. Probab. 48, no. 5 (2020), 2145-2175, Annals of Probability, Institute of Mathematical Statistics, 2020, 48 (5), pp.2145-2175. ⟨10.1214/19-AOP1418⟩
- Accession number :
- edsair.doi.dedup.....d2a3cc4ee31109e4d852982779d37a40