2018
DOI: 10.1093/imrn/rny129
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Valuations on Banach Lattices

Abstract: We provide a general framework for the study of valuations on Banach lattices. This complements and expands several recent works about valuations on function spaces, including Lp(µ), Orlicz spaces and spaces C(K) of continuous functions on a compact Hausdorff space. In particular, we study decomposition properties, boundedness and integral representation of continuous valuations.2010 Mathematics Subject Classification. 52B45, 46B42, 52A30, 46E30.

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Cited by 19 publications
(15 citation statements)
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“…Classification results for valuations on Lipschitz functions on S n−1 were obtained in [42,43] and on Banach lattices in [127]. A Hadwiger theorem for valuations on definable functions was established in [18].…”
Section: Theorem 72 ([40]mentioning
confidence: 99%
“…Classification results for valuations on Lipschitz functions on S n−1 were obtained in [42,43] and on Banach lattices in [127]. A Hadwiger theorem for valuations on definable functions was established in [18].…”
Section: Theorem 72 ([40]mentioning
confidence: 99%
“…Today, the theory of these operators is an active field of the modern analysis (see [2][3][4][5][6][7][8][9]). We note that the study of orthogonally additive operators has useful applications in different areas of modern mathematics, e.g., convex geometry [10,11], dynamical systems [12], and nonlinear integral equations [13,14]. In applications, it is often necessary to study integral equations depending on several variables.…”
Section: Introductionmentioning
confidence: 99%
“…In this article, we analyse the notion of an atomic operator in the framework of the theory of vector lattices and orthogonally additive operators. Today, the theory of orthogonally additive operators in vector lattices is an active area in functional analysis; see for instance [1,2,7,8,10,11,13,14,[16][17][18]25]. Abstract results of this theory can be applied to the theory of nonlinear integral operators [12,21], and there are connections with problems of convex geometry [24].…”
Section: Introductionmentioning
confidence: 99%