Stochastic Systems with Time Delay

Beschreibung

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, informationflow, and to net energy input on the fluctuating level.
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.
Nominated as an outstanding Ph.D. thesis by the Technische Universität Berlin, Berlin, Germany Addresses and advances the challenging problem of strongly fluctuating systems that include time delay Predicts intriguing thermodynamic properties such as reversed heat flow in non-Markovian systems

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Sarah A.M. Loos

Themen in »Stochastic Systems with Time Delay«

Non-Markovian Processes Time-Delayed Feedback Stochastic Delay Differential Equations Fokker-Planck Equations for Systems With Delay Stochastic Thermodynamics Information Flow Generalized Second Law Markovian Embedding Non-reciprocal interactions

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