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20162022
most citedMulti-Dimensional Super-Linear Backward Stochastic Volterra Integral Equations

2 citations · 2 across the 2 of their papers we have counts for

collaborators

9 papers

math.PR20222 cited

Multi-Dimensional Super-Linear Backward Stochastic Volterra Integral Equations

Shengjun Fan, Tianxiao Wang, Jiongmin Yong

In this paper, a systematic investigation is carried out for the general solvability of multi-dimensional backward stochastic Volterra integral equations (BSVIEs) with the generato…

math.OC2022

Optimal Feedback Controls of Stochastic Linear Quadratic Control Problems in Infinite Dimensions with Random Coefficients

Qi Lü, Tianxiao Wang

It is a longstanding unsolved problem to characterize the optimal feedback controls for general linear quadratic optimal control problem of stochastic evolution equation with rando…

math.PR2018

Backward Stochastic Volterra Integral Equations--- Representation of Adapted Solutions

Tianxiao Wang, Jiongmin Yong

For backward stochastic Volterra integral equations (BSVIEs, for short), under some mild conditions, the so-called adapted solutions or adapted M-solutions uniquely exist. However,…

math.OC2018

Characterizations of equilibrium controls in time inconsistent mean-field stochastic linear quadratic problems. I

Tianxiao Wang

In this paper, a class of time inconsistent linear quadratic optimal control problems of mean-field stochastic differential equations (SDEs) is considered under Markovian framework…

math.OC2018

General maximum principles for optimal control problems of stochastic Volterra integral equations

Tianxiao Wang

Optimal control problems of forward stochastic Volterra integral equations (SVIEs) are formulated and studied. When control region is arbitrary subset of Euclidean space and contro…

math.OC2018

Uniqueness of equilibrium strategies in dynamic mean-variance problems with random coefficients

Tianxiao Wang

This paper is concerned with the uniqueness issue of open-loop equilibrium investment strategies of dynamic mean-variance portfolio selection problems with random coefficients. A u…