Titlebook: Generated Dynamics of Markov and Quantum Processes; Martin Jan?en Textbook 2016 Springer-Verlag Berlin Heidelberg 2016 Generated Stochasti

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Generated Dynamics,us time. States can be configurations, probabilities or pre-probabilities for configurations. We discuss some simple prototypical systems and comment on randomness and determinism in stochastic processes.

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https://doi.org/10.1007/0-387-30260-3Markov processes by the chain rule for probabilities and for interpreting quantum processes by Huygens’ principle in combination with Born’s rule. They also allows to discuss the emergence of Markov behavior in quantum processes (decoherence) and of classical deterministic behavior.

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Sampled-Data Models and Operator Methods,nslations is the hopping between nearest neighbor variables. Secondly, we consider the important continuous models of Markov and quantum processes which are the Ornstein-Uhlenbeck process and the quantum well and harmonic oscillator models.

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Omar Licandro,Luis A. Puch,Jesús Ruizled quantum field theories met commonly in particle physics and condensed matter physics. Modeling strategies are discussed that start with a Gaussian approximation around stationary action solutions, supplemented with a stability analysis.

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