Finite element approximations of the stochastic Benjamin-Bona-Mahony equation with multiplicative noise

This paper establishes the existence, uniqueness, and stability of solutions to the stochastic Benjamin-Bona-Mahony equation with multiplicative noise and derives optimal strong error estimates for a fully discrete finite element approximation under bounded noise, as well as sub-optimal convergence rates in probability for general noise via a localization technique.

Hung D. Nguyen, Thoa Thieu, Liet Vo2026-03-10🔢 math

Bayesian inference of planted matchings: Local posterior approximation and infinite-volume limit

This paper establishes that for Bayesian inference of planted matchings between correlated 1D point sets under critical scaling, the posterior distribution admits a local approximation with a well-defined infinite-volume limit in the partial matching case, whereas the exact matching case requires global sorting and a flow-based indexing to define its asymptotic marginal statistics.

Zhou Fan, Timothy L. H. Wee, Kaylee Y. Yang2026-03-10🔢 math

Evaluation of EMF Exposure to Throughput Ratio for Sustainable 5G Networks

This paper proposes a stochastic geometry framework using both Poisson and beta-Ginibre point processes to analyze downlink EMF exposure and introduce a new Radiated Energy per Bit Transmitted metric, demonstrating that beta-GPP offers a more accurate model for real-world 5G multi-connectivity networks and highlighting the importance of energy-aware deployment strategies for sustainability.

Dinh Long Trinh, Shanshan Wang, Joe Wiart2026-03-10🔢 math