activity
20132026
most citedQuantification of coarse-graining error in Langevin and overdamped Langevin dynamics

37 citations · 61 across the 14 of their papers we have counts for

collaborators

16 papers

math.PR2026

Realisation of constraints in underdamped Langevin dynamics

Carsten Hartmann, Lara Neureither, Upanshu Sharma

This article deals with the realisation of constraints in underdamped Langevin dynamics via soft-constrained dynamics. Specifically, we study systems with a large (or small) parame…

math.PR2026

Non-equilibrium functional inequalities for finite Markov chains

Bastian Hilder, Patrick van Meurs, Upanshu Sharma

Functional inequalities such as the Poincaré and log-Sobolev inequalities quantify convergence to equilibrium in continuous-time Markov chains by linking generator properties to va…

math.PR2025

Affine constraints in non-reversible diffusions with degenerate noise

Carsten Hartmann, Lara Neureither, Upanshu Sharma

This paper deals with the realisation of affine constraints on nonreversible stochastic differential equations (SDE) by strong confining forces. We prove that the confined dynamics…

math.AP2022

Fourier-Cattaneo equation: stochastic origin, variational formulation, and asymptotic limits

Alberto Montefusco, Upanshu Sharma, Oliver Tse

We introduce a variational structure for the Fourier-Cattaneo (FC) system which is a second-order hyperbolic system. This variational structure is inspired by the large-deviation r…

cond-mat.stat-mech2022

Untangling Dissipative and Hamiltonian effects in bulk and boundary driven systems

D. R. Michiel Renger, Upanshu Sharma

Using the theory of large deviations, macroscopic fluctuation theory provides a framework to understand the behaviour of non-equilibrium dynamics and steady states in diffusive sys…

math.PR2022★ 1 cited

Quantitative coarse-graining of Markov chains

Bastian Hilder, Upanshu Sharma

Coarse-graining techniques play a central role in reducing the complexity of stochastic models, and are typically characterised by a mapping which projects the full state of the sy…