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  1. Stochastic Processes

    In this chapter, we introduce a mathematical framework, stochastic processes, which is used to describe small stochastic systems.
    Chapter 2023
  2. Stochastic Processes

    In this chapter, we lay the foundation of stochastic processes. We start with a general definition of a stochastic process, and then specialize to...
    Debraj Das, Shamik Gupta in Facets of Noise
    Chapter 2023
  3. Quantum mechanics from stochastic processes

    We construct an explicit one-to-one correspondence between non-relativistic stochastic processes and solutions of the Schrödinger equation and...

    Article 19 June 2023
  4. Optimal Control of Stochastic Processes

    Many control problems appearing for complex systems are subject to imperfectly known disturbances. As we have learned in the previous chapter, these...
    Chapter
  5. Stochastic Processes in Continuous Space

    In this chapter, we consider a stochastic particle in continuous space. A prominent example is a Brownian particle, which is briefly explained at the...
    Chapter 2023
  6. Optimality and Complexity in Measured Quantum-State Stochastic Processes

    If an experimentalist observes a sequence of emitted quantum states via either projective or positive-operator-valued measurements, the outcomes form...

    Ariadna Venegas-Li, James P. Crutchfield in Journal of Statistical Physics
    Article Open access 29 May 2023
  7. A stochastic susceptible-infected-susceptible epidemic model with Stratonovich processes

    We investigate the susceptible-infected-susceptible (SIS) epidemic model under fluctuating random environments. We consider the effect of uncertainty...

    Yung-Gyung Kang, Jeong-Man Park in Journal of the Korean Physical Society
    Article 29 December 2023
  8. A novel stochastic photo-thermoelasticity model according to a diffusion interaction processes of excited semiconductor medium

    A novel technique under the impact of stochastic heating due to the thermal effect of photothermal theory is investigated. Realistically, stochastic...

    Kh. Lotfy, Abdelaala Ahmed, ... Ramdan S. Tantawi in The European Physical Journal Plus
    Article 27 August 2022
  9. Time Series Path Integral Expansions for Stochastic Processes

    A form of time series path integral expansion is provided that enables both analytic and numerical temporal effect calculations for a range of...

    Chris D. Greenman in Journal of Statistical Physics
    Article Open access 16 April 2022
  10. Stochastic Thermodynamics

    In this chapter, we demonstrate how thermodynamics is implemented in stochastic Markov processes.
    Chapter 2023
  11. A Solvable Stochastic Model for One-Dimensional Fracturing or Catalysis Processes

    We study a model defined on a one-dimensional lattice connected to reservoirs, with diffusive and evaporation/deposition processes depending on three...

    F. Mathieu, E. Ragoucy in Journal of Statistical Physics
    Article 19 October 2023
  12. Equation for the Probability of Quantum Transitions in the Method of Path Integrals and Stochastic Processes in the Space of Joint Events

    Abstract

    The evolution of the system is described as a stochastic process in the space of random joint events, in which both a symmetric difference...

    Article 22 June 2023
  13. Stochastic and corpuscular theory of (polarized) light

    Both the corpuscular theory of light and the theory of stochastic processes are well known in the literature. However, they are not systematically...

    Jiří Procházka in The European Physical Journal Plus
    Article Open access 07 August 2023
  14. Quantum-enhanced analysis of discrete stochastic processes

    Discrete stochastic processes (DSP) are instrumental for modeling the dynamics of probabilistic systems and have a wide spectrum of applications in...

    Carsten Blank, Daniel K. Park, Francesco Petruccione in npj Quantum Information
    Article Open access 09 August 2021
  15. Diffusion with Stochastic Resetting

    The stochastic resetting processes, whereby the position of the particle is reset to a fixed location at a random sequence of times, are frequently...
    Leonardo Dagdug, Jason Peña, Ivan Pompa-García in Diffusion Under Confinement
    Chapter 2024
  16. Stochastic Mechanics The Unification of Quantum Mechanics with Brownian Motion

    Stochastic mechanics is a theory that holds great promise in resolving the mathematical and interpretational issues encountered in the canonical and...
    Folkert Kuipers in SpringerBriefs in Physics
    Book 2023
  17. Exploring soliton solutions of stochastic Phi-4 equation through extended Sinh-Gordon expansion method

    Numerous systems and phenomena that appear to fluctuate randomly are mathematically modeled using stochastic processes. In this paper stochastic...

    Fiza Batool, Hadi Rezazadeh, ... Ulviye Demirbilek in Optical and Quantum Electronics
    Article 25 March 2024
  18. Robustness of steady state and stochastic cyclicity in generalized coalescence-fragmentation models

    Abstract

    Processes of coalescence and fragmentation are used to understand the time-evolution of the mass distribution of various systems and may...

    Brennen T. Fagan, Niall J. MacKay, A. Jamie Wood in The European Physical Journal B
    Article Open access 21 February 2024
  19. Multiple stochastic resonances and inverse stochastic resonances in asymmetric bistable system under the ultra-high frequency excitation

    Ultra-high frequency linear frequency modulation (UHF-LFM) signal, as a kind of typical non-stationary signal, has been widely used in microwave...

    Cong Wang, Zhongqiu Wang, ... Mengen Shen in The European Physical Journal Plus
    Article 21 May 2024
  20. Central Limit Theorems and Moderate Deviations for Stochastic Reaction-Diffusion Lattice Systems

    This paper is concerned with the stochastic reaction-diffusion lattice systems defined on the entire set with both locally Lipschitz nonlinear drift...

    Zhang Chen, **aoxiao Sun, Dandan Yang in Journal of Statistical Physics
    Article 28 January 2024
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