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20122023
most citedA random Schrödinger operator associated with the Vertex Reinforced Jump Process on infinite graphs

14 citations · 57 across the 17 of their papers we have counts for

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6 papers · 1 filter

math.FA2019

On -convex compactness in random locally convex modules

Mingzhi Wu, Xiaolin Zeng, Shien Zhao

For the study of some typical problems in finance and economics, Žitković %[G. Žitković, Convex compactness and its applications, Math. Finan. Eco., 3(1)(2010) 1--12] introduced co…

math.FA2016★ 1 cited

On random convex analysis

Tiexin Guo, Erxin Zhang, Mingzhi Wu +3

Recently, based on the idea of randomizing space theory, random convex analysis has been being developed in order to deal with the corresponding problems in random environments suc…

math.FA2015

Some results on the Orlicz space generated from a random normed module

Mingzhi Wu, Long Long, Xiaolin Zeng

Noting the important role the abstract space has played in the development of random normed modules, in this paper we introduce and study the Orlicz space generated from a ra…

math.FA2015★ 3 cited

Random convex analysis (I): separation and Fenchel-Moreau duality in random locally convex modules

Tiexin Guo, Shien Zhao, Xiaolin Zeng

To provide a solid analytic foundation for the module approach to conditional risk measures, our purpose is to establish a complete random convex analysis over random locally conve…

math.FA2015★ 8 cited

Random convex analysis (II): continuity and subdifferentiability theorems in --pre--barreled random locally convex modules

Tiexin Guo, Shien Zhao, Xiaolin Zeng

In this paper, we continue to study random convex analysis. First, we introduce the notion of an --pre--barreled module. Then, we develop the theory of random duality under th…

math.FA2012★ 13 cited

On random convex analysis -- the analytic foundation of the module approach to conditional risk measures

Tiexin Guo, Shien Zhao, Xiaolin Zeng

To provide a solid analytic foundation for the module approach to conditional risk measures, this paper establishes a complete random convex analysis over random locally convex mod…