activity
19952023
most citedStrong disorder RG approach of random systems

371 citations · 3.6k across the 151 of their papers we have counts for

collaborators

151 papers

cond-mat.stat-mech2023★ 2 cited

Large deviations for trajectory observables of diffusion processes in dimension in the double limit of large time and small diffusion coefficient

Cecile Monthus

For diffusion processes in dimension , the statistics of trajectory observables over the time-window can be studied via the Feynman-Kac deformations of the Fokker-Plan…

cond-mat.stat-mech2023★ 1 cited

Inverse problem in the conditioning of Markov processes on trajectory observables : what canonical conditionings can connect two given Markov generators ?

Cecile Monthus

In the field of large deviations for stochastic dynamics, the canonical conditioning of a given Markov process with respect to a given time-local trajectory observable over a large…

cond-mat.stat-mech2023★ 3 cited

Large deviations at level 2.5 and for trajectories observables of diffusion processes : the missing parts with respect to their random-walks counterparts

Cecile Monthus

Behind the nice unification provided by the notion of the level 2.5 in the field of large deviations for time-averages over a long Markov trajectory, there are nevertheless very im…

cond-mat.stat-mech2023★ 8 cited

Revisiting boundary-driven non-equilibrium Markov dynamics in arbitrary potentials via supersymmetric quantum mechanics and explicit large deviations at various levels

Cecile Monthus

For boundary-driven non-equilibrium Markov models of non-interacting particles in one dimension, either in continuous space with the Fokker-Planck dynamics involving an arbitrary f…

cond-mat.stat-mech2023★ 10 cited

Large deviations for the Pearson family of ergodic diffusion processes involving a quadratic diffusion coefficient and a linear force

Cecile Monthus

The Pearson family of ergodic diffusions with a quadratic diffusion coefficient and a linear force are characterized by explicit dynamics of their integer moments and by explicit r…

cond-mat.stat-mech2023★ 3 cited

On the Kemeny time for continuous-time reversible and irreversible Markov processes with applications to stochastic resetting and to conditioning towards forever-survival

Alain Mazzolo, Cecile Monthus

For continuous-time ergodic Markov processes, the Kemeny time is the characteristic time needed to converge towards the steady state : in real-space, the Kemeny time…