Full counting statistics in the not-so-long-time limit - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Accéder directement au contenu
Article Dans Une Revue Physica Scripta Année : 2015

Full counting statistics in the not-so-long-time limit

Résumé

The full counting statistics of charge transport is the probability distribution $p_n(t_m)$ that $n$ electrons have flown through the system in measuring time $t_m$. The cumulant generating function (CGF) of this distribution $F(\chi,t_m)$ has been well studied in the long time limit $t_m\rightarrow \infty$, however there are relatively few results on the finite measuring time corrections to this. In this work, we study the leading finite time corrections to the CGF of interacting Fermi systems with a single transmission channel at zero temperature but driven out of equilibrium by a bias voltage. We conjecture that the leading finite time corrections are logarithmic in $t_m$ with a coefficient universally related to the long time limit. We provide detailed numerical evidence for this with reference to the self-dual interacting resonant level model. This model further contains a phase transition associated with the fractionalisation of charge at a critical bias voltage. This transition manifests itself technically as branch points in the CGF. We provide numerical results of the dependence of the CGF on measuring time for model parameters in the vicinity of this transition, and thus identify features in the time evolution associated with the phase transition itself.
Fichier principal
Vignette du fichier
CarrSchSa15.pdf (2.19 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

cea-01065486 , version 1 (11-04-2023)

Identifiants

Citer

Sam T. Carr, Peter Schmitteckert, Hubert Saleur. Full counting statistics in the not-so-long-time limit. Physica Scripta, 2015, 2015, pp.014009. ⟨10.1088/0031-8949/2015/T165/014009⟩. ⟨cea-01065486⟩
66 Consultations
17 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More