Invariant representation for generators of general time interval quadratic BSDEs under stochastic growth conditions
Guangshuo Zhou, Fengjiao Du, Shengjun Fan

TL;DR
This paper establishes a general invariant representation theorem for generators of quadratic BSDEs over arbitrary time intervals, accommodating stochastic growth conditions, thereby unifying and extending existing results in the field.
Contribution
It introduces a novel approach to prove the invariant representation theorem for quadratic BSDE generators with stochastic growth, unifying previous results and broadening applicability.
Findings
Proves a general invariant representation theorem for quadratic BSDE generators.
Unifies existing results under a broader stochastic growth framework.
Provides a new proof technique for the representation theorem.
Abstract
This paper is devoted to proving a general invariant representation theorem for generators of general time interval backward stochastic differential equations, where the generator has a quadratic growth in the unknown variable and satisfies some stochastic growth conditions in the unknown variable . This unifies and strengthens some known results. And, a natural and innovative idea is used to prove the representation theorem.
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Taxonomy
TopicsStochastic processes and financial applications · Probabilistic and Robust Engineering Design · Stability and Controllability of Differential Equations
