Continuity problem for singular BSDE with random terminal time
Alexandre Popier (LMM), Sharoy Samuel (METU), Ali Sezer (METU)

TL;DR
This paper investigates the existence of solutions to a class of nonlinear backward stochastic differential equations with singular terminal conditions and random terminal times, extending the theory to include infinite terminal values and implications for PDEs.
Contribution
It introduces the concept of solvability for BSDEs with singular terminal conditions and proves the existence of solutions in this challenging setting, including Markovian and non-Markovian cases.
Findings
Minimal supersolutions attain the terminal value with probability 1.
Solutions are continuous at the terminal time under certain conditions.
Implications for solving nonlinear elliptic PDEs with singular boundary conditions.
Abstract
We study a class of nonlinear BSDEs with a superlinear driver process f adapted to a filtration F and over a random time interval [[0, S]] where S is a stopping time of F. The terminal condition is allowed to take the value +, i.e., singular. Our goal is to show existence of solutions to the BSDE in this setting. We will do so by proving that the minimal supersolution to the BSDE is a solution, i.e., attains the terminal values with probability 1. We consider three types of terminal values: 1) Markovian: i.e., is of the form = g( S) where is a continuous Markovian diffusion process and S is a hitting time of and g is a deterministic function 2) terminal conditions of the form = 1 { S} and 3) 2 = 1 { >S} where is another stopping time. For general we prove the minimal…
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
