Stochastic Systems with Time Delay - Probabilistic and Thermodynamic Descriptions of non-Markovian Processes far From Equilibrium (Paperback, 1st ed. 2021)

The nonequilibrium behavior of nanoscopic and biological systems, which are typically strongly fluctuating, is a major focus of current research. Lately, much progress has been made in understanding such systems from a thermodynamic perspective. However, new theoretical challenges emerge when the fluctuating system is additionally subject to time delay, e.g. due to the presence of feedback loops. This thesis advances this young and vibrant research field in several directions. The first main contribution concerns the probabilistic description of time-delayed systems; e.g. by introducing a versatile approximation scheme for nonlinear delay systems. Second, it reveals that delay can induce intriguing thermodynamic properties such as anomalous (reversed) heat flow. More generally, the thesis shows how to treat the thermodynamics of non-Markovian systems by introducing auxiliary variables. It turns out that delayed feedback is inextricably linked to nonreciprocal coupling, information flow, and to net energy input on the fluctuating level.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	September 2022
First published:	2021
Authors:	Sarah A.M. Loos
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	285
Edition:	1st ed. 2021
ISBN-13:	978-3-03-080773-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	3-03-080773-8
Barcode:	9783030807733

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