Multitime correlation functions in nonclassical stochastic processes
نویسندگان
چکیده
منابع مشابه
On the spectral relations for multitime correlation functions
A general approach for derivation of the spectral relations for the multitime correlation functions is presented. A special attention is paid to the consideration of the non-ergodic (conserving) contributions and it is shown that such contributions can be treated in a rigorous way using multitime temperature Green functions. Representation of the multitime Green functions in terms of the spectr...
متن کاملMultitime correlation functions for single molecule kinetics with fluctuating bottlenecks
Stochastic trajectories in single molecule kinetics coupled to several Gaussian Markovian coordinates are analyzed using a generating function obtained by solving the multidimensional Smoluchowski equation. Multitime correlation functions are computed and used to identify direct signatures of non-Poissonian kinetics resulting from coupling to slow coordinates. Effects of various degrees of corr...
متن کاملNonclassical time correlation functions in continuous quantum measurement
A continuous projective measurement of a quantum system often leads to a suppression of the dynamics, known as the Zeno effect. Alternatively, generalized nonprojective, so-called ‘weak’ measurements can be carried out. Such a measurement is parameterized by its strength parameter that can interpolate continuously between the ideal strong measurement with no dynamics—the strict Zeno effect, and...
متن کاملCorrelation functions in stochastic inflation
Combining the stochastic and δN formalisms, we derive non-perturbative analytical expressions for all correlation functions of scalar perturbations in single-field, slow-roll inflation. The standard, classical formulas are recovered as saddle-point limits of the full results. This yields a classicality criterion that shows that stochastic effects are small only if the potential is sub-Planckian...
متن کاملMultitime scale Markov decision processes
This paper proposes a simple analytical model called M time-scale Markov Decision Process (MMDP) for hierarchically structured sequential decision making processes, where decisions in each level in the M -level hierarchy are made in M different time-scales. In this model, the state space and the control space of each level in the hierarchy are non-overlapping with those of the other levels, res...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review A
سال: 2016
ISSN: 2469-9926,2469-9934
DOI: 10.1103/physreva.93.063843