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Renormalized stochastic pressure equation with log-correlated Gaussian coefficients

  • University of Helsinki
  • Uppsala University

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

2 Sitaatiot (Scopus)
45 Lataukset (Pure)

Abstrakti

We study periodic solutions to the following divergence-form stochastic partial differential equation with Wick-renormalized gradient on the d-dimensional flat torus T d, −∇⋅(e ⋄(−βX)⋄∇U)=∇⋅(e ⋄(−βX)⋄F), where X is the log-correlated Gaussian field, F is a random vector field representing the flux, the in/out-flow of fluid per unit area per unit time, and ⋄ denotes the Wick product. The problem is a variant of the stochastic pressure equation, in which U is modeling the pressure of a creeping water-flow in crustal rock that occurs in enhanced geothermal heating. In the original model, the Wick exponential term e ⋄(−βX) is modeling the random permeability of the rock. The porosity field is given by a log-correlated Gaussian random field βX, where β<d. We use elliptic regularity theory in order to define a notion of a solution to this (a priori very ill-posed) problem, via modifying the S-transform from Gaussian white noise analysis, and then establish the existence and uniqueness of solutions. Moreover, we show that the solution to the problem can be expressed in terms of the Gaussian multiplicative chaos measure.

AlkuperäiskieliEnglanti
Artikkeli113416
Sivut1-38
Sivumäärä38
JulkaisuJournal of Differential Equations
Vuosikerta439
DOI - pysyväislinkit
TilaJulkaistu - 15 syysk. 2025
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

BA acknowledges support by the Swedish Research Council [dnr: 2019-04098]. TK and PN acknowledge support by the Academy of Finland and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreements no. 323099 and no. 818437). JMT acknowledges support by the Academy of Finland and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreements no. 741487 and no. 818437). TK and ES acknowledge support by the Academy of Finland CoE FiRST (no. 1346305).

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