1990
DOI: 10.1090/s0025-5718-1990-1023049-9
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Linear elliptic difference inequalities with random coefficients

Abstract: Abstract.We prove various pointwise estimates for solutions of linear elliptic difference inequalities with random coefficients. These estimates include discrete versions of the maximum principle of Aleksandrov and Harnack inequalities and Holder estimates of Krylov and Safonov for elliptic differential operators with bounded coefficients.

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Cited by 39 publications
(42 citation statements)
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“…In this paper we establish discrete versions of the Krylov maximum principle [4,5] established in our previous work [6] (Theorem 2.1). As in [6], our estimâtes are formulated in such a way that their continuous versions follow via Taylor's formula.…”
Section: Introductionmentioning
confidence: 94%
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“…In this paper we establish discrete versions of the Krylov maximum principle [4,5] established in our previous work [6] (Theorem 2.1). As in [6], our estimâtes are formulated in such a way that their continuous versions follow via Taylor's formula.…”
Section: Introductionmentioning
confidence: 94%
“…The spatial part of our différence operators will be determined by second order différence operators of the form L h u{x, t) = J^ a(x, t, y) Ôy u(Xj t) + y C O (1.5) with real coefficients a, b, c, having compact support with respect to y, and satisfying as in [6], the condition a(x, t, j ) -| \y\ \b(x,t,y)\ 0 .…”
Section: öYu(x T) = ôY ôY U (X > ^ ^=mentioning
confidence: 99%
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