A variational characterization of the risk-sensitive average reward for controlled diffusions on $\mathbb{R}^d$
Autor: | Arapostathis, Ari, Biswas, Anup, Borkar, Vivek S., Kumar, K. Suresh |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | SIAM Journal on Control and Optimization 58 (2020), no. 6, 3785-3813 |
Druh dokumentu: | Working Paper |
DOI: | 10.1137/20M1329202 |
Popis: | We address the variational formulation of the risk-sensitive reward problem for non-degenerate diffusions on $\mathbb{R}^d$ controlled through the drift. We establish a variational formula on the whole space and also show that the risk-sensitive value equals the generalized principal eigenvalue of the semilinear operator. This can be viewed as a controlled version of the variational formulas for principal eigenvalues of diffusion operators arising in large deviations. We also revisit the average risk-sensitive minimization problem and by employing a gradient estimate developed in this paper, we extend earlier results to unbounded drifts and running costs. Comment: 29 pages |
Databáze: | arXiv |
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