February 2025 Transportation cost inequalities for stochastic reaction diffusion equations on the whole real line
Yue Li, Shijie Shang, Tusheng Zhang
Author Affiliations +
Bernoulli 31(1): 759-782 (February 2025). DOI: 10.3150/24-BEJ1749

Abstract

In this paper, we establish quadratic transportation cost inequalities for solutions of stochastic reaction diffusion equations driven by multiplicative space-time white noise on the whole real line R. Since the space variable is defined on the unbounded domain R, the inequalities are proved under a weighted L2-norm and a weighted uniform metric in the so-called Ltem2, Ctem spaces. The new moments estimates of the stochastic convolution with respect to space-time white noise play an important role. In addition, the transportation cost inequalities are also obtained for the stochastic reaction diffusion equations with random initial values.

Funding Statement

This work is partially supported by the National Key R&D Program of China (No. 2022YFA1006001), the National Natural Science Foundation of China (No. 12131019, No. 12001516, No. 11721101, No. 12371151), the Fundamental Research Funds for the Central Universities (No. WK3470000031, No. WK0010000081, No. WK3470000024).

Acknowledgements

The authors would like to thank the anonymous referees and the Editor for their careful reading and constructive comments that improved the quality of this paper.

Citation

Download Citation

Yue Li. Shijie Shang. Tusheng Zhang. "Transportation cost inequalities for stochastic reaction diffusion equations on the whole real line." Bernoulli 31 (1) 759 - 782, February 2025. https://doi.org/10.3150/24-BEJ1749

Information

Received: 1 May 2023; Published: February 2025
First available in Project Euclid: 30 October 2024

Digital Object Identifier: 10.3150/24-BEJ1749

Keywords: concentration of measure , moment estimates for stochastic convolutions , reaction diffusion equations , Stochastic partial differential equations , transportation cost inequalities

Vol.31 • No. 1 • February 2025
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