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Dmitrii Rachinskii

Publications and source records attributed to Dmitrii Rachinskii.

25 records · Page 2Linked to original sources

Timing jitter of passively mode-locked semiconductor lasers subject to optical feedback; a semi-analytic approach

We propose a semi-analytical method of calculating the timing fluctuations in mode-locked semiconductor lasers and apply it to study the effect of delayed coherent optical feedback on pulse timing jitter in these lasers. The proposed method greatly reduces computation times and therefore allows for the investigation of the dependence of timing fluctuations over greater parameter domains. We show that resonant feedback leads to a reduction in the timing jitter and that a frequency-pulling region forms about the main resonances, within which a timing jitter reduction is observed. The width of these frequency-pulling regions increases linearly with short feedback delay times. We derive an analytic expression for the timing jitter, which predicts a monotonous decrease in the timing jitter for resonant feedback of increasing delay lengths, when timing jitter effects are fully separated from amplitude jitter effects. For long feedback cavities the decrease in timing jitter scales approximately as $1/τ$ with the increase of the feedback delay time $τ$.

physics.optics↗

Realization of Arbitrary Hysteresis by a Low-dimensional Gradient Flow

We consider gradient systems with an increasing potential that depends on a scalar parameter. As the parameter is varied, critical points of the potential can be eliminated or created through saddle-node bifurcations causing the system to transit from one stable equilibrium located at a (local) minimum point of the potential to another minimum along the heteroclinic connections. These transitions can be represented by a graph. We show that any admissible graph has a realization in the class of two dimensional gradient flows. The relevance of this result is discussed in the context of genesis of hysteresis phenomena. The Preisach hysteresis model is considered as an example.

math.DS↗

Pattern formation in parabolic equations containing hysteresis with diffusive thresholds

We consider a reaction-diffusion system with discontinuous reaction terms modeled by non-ideal relays. The system is motivated by an epigenetic population model of evolution of two-phenotype bacteria which switch phenotype in response to variations of environment. We prove the formation of patterns in the phenotype space. The mechanism responsible for pattern formation is based on memory (hysteresis) of the non-ideal relays.

math.AP↗

Well-posedness of parabolic equations containing hysteresis with diffusive thresholds

We study complex systems arising, in particular, in population dynamics, developmental biology, and bacterial metabolic processes, in which each individual element obeys a relatively simple hysteresis law (a non-ideal relay). Assuming that hysteresis thresholds fluctuate, we consider the arising reaction-diffusion system. In this case, the spatial variable corresponds to the hysteresis threshold. We describe the collective behavior of such a system in terms of the Preisach operator with time-dependent measure which is a part of the solution for the whole system. We prove the well-posedness of the system and discuss the long-term behavior of solutions.

math.AP↗

Analytical solution for a class of network dynamics with mechanical and financial applications

We show that for a certain class of dynamics at the nodes the response of a network of any topology to arbitrary inputs is defined in a simple way by its response to a monotone input. The nodes may have either a discrete or continuous set of states and there is no limit on the complexity of the network. The results provide both an efficient numerical method and the potential for accurate analytic approximation of the dynamics on such networks. As illustrative applications, we introduce a quasistatic mechanical model with objects interacting via frictional forces, and a financial market model with avalanches and critical behavior that are generated by momentum trading strategies.

cond-mat.stat-mech↗

Hysteresis Can Grant Fitness in Stochastically Varying Environment

Hysteresis and bet-hedging (random choice of phenotypes) are two different observations typically linked with multiplicity of phenotypes in biological systems. Hysteresis can be viewed as form of the system's persistent memory of past environmental conditions, while bet-hedging is a diversification strategy not necessarily associated with any memory. It has been shown that bet-hedging can increase population growth when phenotype adjusts its switching probability in response to environmental inputs. Although memory and hysteresis have been used to generate environment dependent phenotype switching probabilities, their exact connection to bet-hedging have remained unclear. In this work, using a simple model that takes into account phenotype switching as well as lag phase in the population growth occurring after the phenotype switching, it is shown that memory and hysteresis emerge naturally and are firmly linked to bet-hedging as organisms attempt to optimize their population growth rate. The optimal ``magnitude'' of hysteresis is explained to be associated with stochastic resonance where the characteristic time between subsequent phenotype switching events is linked to the lag phase delay. Furthermore, hysteretic switching strategy is shown not to confer any additional population growth advantage if the environment varies periodically in a deterministic fashion. This suggests that, while bet-hedging may evolve under some conditions even in deterministic environments, memory and hysteresis is probably the result of environmental uncertainty in the presence of lag phase in the switching of phenotypes.

q-bio.PE↗