In this paper, we suggest an effective technique based on random time-change for dealing with a large class of backward stochastic differential equations (BSDEs for short) with stochastic Lipschitz coefficients. By means of random time-change, we show the relation between the BSDEs with stochastic Lipschitz coefficients and the ones with bounded Lipschitz coefficients and stopping terminal time, so they are possible to be exchanged with each other from one type to another. In other words, the stochastic Lipschitz condition is not essential in the context of BSDEs with random terminal time. Using this technique, we obtain a couple of new results of BSDEs with stochastic Lipschitz (or monotone) coefficients.
Mots-clés : Backward stochastic differential equations (BSDEs), time-change, stochastic Lipschitz coefficient, random terminal time, Markov chain
@article{PS_2020__24_1_739_0, author = {O, Hun and Kim, Mun-Chol and Pak, Chol-Kyu}, title = {A framework of {BSDEs} with stochastic {Lipschitz} coefficients}, journal = {ESAIM: Probability and Statistics}, pages = {739--769}, publisher = {EDP-Sciences}, volume = {24}, year = {2020}, doi = {10.1051/ps/2020016}, mrnumber = {4176875}, zbl = {1461.60041}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/ps/2020016/} }
TY - JOUR AU - O, Hun AU - Kim, Mun-Chol AU - Pak, Chol-Kyu TI - A framework of BSDEs with stochastic Lipschitz coefficients JO - ESAIM: Probability and Statistics PY - 2020 SP - 739 EP - 769 VL - 24 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ps/2020016/ DO - 10.1051/ps/2020016 LA - en ID - PS_2020__24_1_739_0 ER -
%0 Journal Article %A O, Hun %A Kim, Mun-Chol %A Pak, Chol-Kyu %T A framework of BSDEs with stochastic Lipschitz coefficients %J ESAIM: Probability and Statistics %D 2020 %P 739-769 %V 24 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ps/2020016/ %R 10.1051/ps/2020016 %G en %F PS_2020__24_1_739_0
O, Hun; Kim, Mun-Chol; Pak, Chol-Kyu. A framework of BSDEs with stochastic Lipschitz coefficients. ESAIM: Probability and Statistics, Tome 24 (2020), pp. 739-769. doi : 10.1051/ps/2020016. http://archive.numdam.org/articles/10.1051/ps/2020016/
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