For some backward stochastic Volterra integral equations (BSVIEs) in multi-dimensional Euclidean spaces, comparison theorems are established in a systematic way for the adapted solutions and adapted M-solutions. For completeness, comparison theorems for (forward) stochastic differential equations, backward stochastic differential equations, and (forward) stochastic Volterra integral equations (FSVIEs) are also presented. Duality principles are used in some relevant proofs. Also, it is found that certain kinds of monotonicity conditions play crucial roles to guarantee the comparison theorems for FSVIEs and BSVIEs to be true. Various counterexamples show that the assumed conditions are almost necessary in some sense
In this article, we study general backward stochastic Volterra integral equations (BSVIEs). Combini...
This paper establishes a converse comparison theorem for real-valued backward stochastic differentia...
Comparison theorems for solutions of one-dimensional backward stochastic differential equations were...
For some backward stochastic Volterra integral equations (BSVIEs) in multi-dimensional Euclidean spa...
For some backward stochastic Volterra integral equations (BSVIEs) in multi-dimensional Euclidean spa...
In this paper, we present a brief survey on the updated theory of backward stochastic Volterra integ...
Backward stochastic Volterra integral equations (BSVIEs, for short) are introduced. The existence an...
In this paper, we present a brief survey on the updated theory of backward stochastic Volterra integ...
AbstractBackward stochastic Volterra integral equations (BSVIEs, for short) are introduced. The exis...
International audienceIn this Note, we give a necessary and sufficient condition under which the com...
A useful result when dealing with backward stochastic differential equations is the comparison theor...
Backward stochastic Volterra integral equations (BSVIEs, for short) are studied. Notion of adapted M...
Mean-field backward stochastic Volterra integral equations (MFBSVIEs, for short) are introduced and ...
Mean-field backward stochastic Volterra integral equations (MF-BSVIEs, for short) are introduced and...
We prove comparison theorems for systems of ordinary stochastic differential equations as well as fo...
In this article, we study general backward stochastic Volterra integral equations (BSVIEs). Combini...
This paper establishes a converse comparison theorem for real-valued backward stochastic differentia...
Comparison theorems for solutions of one-dimensional backward stochastic differential equations were...
For some backward stochastic Volterra integral equations (BSVIEs) in multi-dimensional Euclidean spa...
For some backward stochastic Volterra integral equations (BSVIEs) in multi-dimensional Euclidean spa...
In this paper, we present a brief survey on the updated theory of backward stochastic Volterra integ...
Backward stochastic Volterra integral equations (BSVIEs, for short) are introduced. The existence an...
In this paper, we present a brief survey on the updated theory of backward stochastic Volterra integ...
AbstractBackward stochastic Volterra integral equations (BSVIEs, for short) are introduced. The exis...
International audienceIn this Note, we give a necessary and sufficient condition under which the com...
A useful result when dealing with backward stochastic differential equations is the comparison theor...
Backward stochastic Volterra integral equations (BSVIEs, for short) are studied. Notion of adapted M...
Mean-field backward stochastic Volterra integral equations (MFBSVIEs, for short) are introduced and ...
Mean-field backward stochastic Volterra integral equations (MF-BSVIEs, for short) are introduced and...
We prove comparison theorems for systems of ordinary stochastic differential equations as well as fo...
In this article, we study general backward stochastic Volterra integral equations (BSVIEs). Combini...
This paper establishes a converse comparison theorem for real-valued backward stochastic differentia...
Comparison theorems for solutions of one-dimensional backward stochastic differential equations were...