Infinite horizon backward stochastic Volterra integral equations (BSVIEs for short) are investigated. We prove the existence and uniqueness of the adapted M-solution in a weighted L2-space. Furthermore, we extend some important known results for finite horizon BSVIEs to the infinite horizon setting. We provide a variation of constant formula for a class of infinite horizon linear BSVIEs and prove a duality principle between a linear (forward) stochastic Volterra integral equation (SVIE for short) and an infinite horizon linear BSVIE in a weighted L2-space. As an application, we investigate infinite horizon stochastic control problems for SVIEs with discounted cost functional. We establish both necessary and sufficient conditions for optimality by means of Pontryagin’s maximum principle, where the adjoint equation is described as an infinite horizon BSVIE. These results are applied to discounted control problems for fractional stochastic differential equations and stochastic integro-differential equations.
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Keywords: Infinite horizon backward stochastic Volterra integral equation, stochastic Volterra integral equation, duality principle, discounted stochastic control
@article{COCV_2021__27_1_A103_0,
author = {Hamaguchi, Yushi},
title = {Infinite horizon backward stochastic {Volterra} integral equations and discounted control problems},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
year = {2021},
publisher = {EDP-Sciences},
volume = {27},
doi = {10.1051/cocv/2021098},
language = {en},
url = {https://www.numdam.org/articles/10.1051/cocv/2021098/}
}
TY - JOUR AU - Hamaguchi, Yushi TI - Infinite horizon backward stochastic Volterra integral equations and discounted control problems JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2021 VL - 27 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/cocv/2021098/ DO - 10.1051/cocv/2021098 LA - en ID - COCV_2021__27_1_A103_0 ER -
%0 Journal Article %A Hamaguchi, Yushi %T Infinite horizon backward stochastic Volterra integral equations and discounted control problems %J ESAIM: Control, Optimisation and Calculus of Variations %D 2021 %V 27 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/cocv/2021098/ %R 10.1051/cocv/2021098 %G en %F COCV_2021__27_1_A103_0
Hamaguchi, Yushi. Infinite horizon backward stochastic Volterra integral equations and discounted control problems. ESAIM: Control, Optimisation and Calculus of Variations, Tome 27 (2021), article no. 101. doi: 10.1051/cocv/2021098
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The author was supported by JSPS KAKENHI Grant Number JP21J00460.





