2018
DOI: 10.1007/s00440-018-0843-z
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A Liouville theorem for stationary and ergodic ensembles of parabolic systems

Abstract: A first-order Liouville theorem is obtained for random ensembles of uniformly parabolic systems under the mere qualitative assumptions of stationarity and ergodicity. Furthermore, the paper establishes, almost surely, an intrinsic large-scale C 1,α -regularity estimate for caloric functions.

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Cited by 10 publications
(15 citation statements)
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“…Let us interpret this finding in yet another way: If we are interested in predicting ∇v in the neighborhood {|x − y| < 1} of some point y with |y| ≫ 1, in view of (10), we need to know φ * i and ψ * ij in the neighborhood of y, and we need to know v h . In order to get v h , in view of (11) and (12), we need to know φ i and ψ ij in the neighborhood {|x| < 1} of the origin. Hence the local knowledge of the first and second-order correctors near the two distant points y and 0 is enough to understand how the random medium transmits the information of the charge distribution ∇ · g in {|x| < 1} to the field −∇v near y.…”
Section: The Main Resultsmentioning
confidence: 99%
“…Let us interpret this finding in yet another way: If we are interested in predicting ∇v in the neighborhood {|x − y| < 1} of some point y with |y| ≫ 1, in view of (10), we need to know φ * i and ψ * ij in the neighborhood of y, and we need to know v h . In order to get v h , in view of (11) and (12), we need to know φ i and ψ ij in the neighborhood {|x| < 1} of the origin. Hence the local knowledge of the first and second-order correctors near the two distant points y and 0 is enough to understand how the random medium transmits the information of the charge distribution ∇ · g in {|x| < 1} to the field −∇v near y.…”
Section: The Main Resultsmentioning
confidence: 99%
“…The first ingredient is the classical L 2 theory of parabolic systems in form of localized energy type estimates, see Lemmas 1 and 2. The second ingredient is the large-scale regularity theory for parabolic systems developed in [11] that we recall and extend in Appendix B. It provides, in particular, a large-scale C 0,1 estimate: for all x ∈ R d , there exists a stationary random variable r * (x) ≥ 1 such that for all t ∈ R and weak solution v of, for R ≥ r * (x), This properties can be used provided r * has good moment bounds, which have already been established in [15] in our context.…”
Section: Strategy Of the Proofmentioning
confidence: 99%
“…In this section we recall the regularity theory for random parabolic operator of the form ∂ τ − ∇ • a∇ developed in the papers [11,7] and draw some useful consequences. Here, we assume that a does not depend on time.…”
Section: A Probabilistic Toolsmentioning
confidence: 99%
“…Another recent result under moment conditions is a Liouville theorem for the elliptic equation associated to (1.1) in [11], cf. also [10] for a related result on the parabolic equation associated to a time-dynamic, uniformly elliptic version of (1.1). Local boundedness and a Harnack inequality for solutions to the elliptic equation were recently proven in [13] under moment conditions.…”
Section: Introductionmentioning
confidence: 99%