scholarly journals Baryon stopping as a relativistic Markov process in phase space

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Johannes Hoelck ◽  
Georg Wolschin
Keyword(s):  
Phase Space ◽  
Markov Process ◽  
Baryon Stopping

scholarly journals Stationary quantum Markov process for the Wigner function on a lattice phase space

2007 ◽  
Vol 40 (47) ◽  
pp. 14253-14262 ◽  
Author(s):  
T Hashimoto ◽  
M Horibe ◽  
A Hayashi
Keyword(s):  
Phase Space ◽  
Markov Process ◽  
Wigner Function ◽  
Stationary Quantum

scholarly journals Reducibility by Moments of Linear Impulse Markov Dynamical Systems with Almost Constant Coefficients

2016 ◽  
Vol 70 (1) ◽  
pp. 34-40
Author(s):  
Jevgeņijs Carkovs ◽  
Aija Pola ◽  
Kārlis Šadurskis
Keyword(s):  
Phase Space ◽  
Dynamical Systems ◽  
Markov Process ◽  
Differential Equations ◽  
Small Parameter ◽  
Linear Differential Equations ◽  
Phase Trajectories ◽  
Constant Coefficients ◽  
Linear Differential ◽  
Coordinate Changes

Abstract This paper deals with linear impulse dynamical systems on ℝd whose parameters depend on an ergodic piece-wise constant Markov process with values from some phase space 𝕐 and on a small parameter ɛ. Trajectories of Markov process x(t,y)∈ ℝd satisfy a system of linear differential equations with close to constant coefficients on its continuity intervals, while its phase coordinate changes discontinuously when Markov process switching occur. Jump sizes depend linearly on the phase coordinate and are proportional to the small parameter ɛ. We propose a method and an algorithm for choosing the base 𝔹(t,y) of the space ℝd that provides approximation of average phase trajectories E{x(t,y)} by a solution of a system of linear differential equations with constant coefficients.

Efficient projection method for a system of differential equations of Fokker−Planck type

2019 ◽  
Vol 34 (3) ◽  
pp. 133-142
Author(s):  
Alexander I. Noarov
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Phase Space ◽  
Markov Process ◽  
Differential Equations ◽  
Ordinary Differential Equations ◽  
Probability Density ◽  
Stationary Distribution ◽  
System Of Differential Equations ◽  
The Finite Element Method

Abstract A system of ordinary differential equations describing a stationary distribution of a Markov process with the phase space R × {1, 2, …, M} is considered. The finite element method is proposed for calculation of its solution as a probability density.

A one-dimensional self-gravitating stellar gas

1966 ◽  
Vol 25 ◽  
pp. 46-48 ◽  
Author(s):  
M. Lecar
Keyword(s):  
Gravitational Field ◽  
Phase Space ◽  
Motion Picture ◽  
Space Distribution ◽  
Two Dimensional ◽  
One Dimensional ◽  
Phase Space Distribution ◽  
Dimensional Phase Space ◽  
The Mean

“Dynamical mixing”, i.e. relaxation of a stellar phase space distribution through interaction with the mean gravitational field, is numerically investigated for a one-dimensional self-gravitating stellar gas. Qualitative results are presented in the form of a motion picture of the flow of phase points (representing homogeneous slabs of stars) in two-dimensional phase space.

PHASE-SPACE CONSIDERATIONS IN THE TRANSVERSE MOMENTUM ANALYSIS

1987 ◽  
Vol 48 (C2) ◽  
pp. C2-233-C2-239
Author(s):  
P. DANIELEWICZ
Keyword(s):  
Phase Space ◽  
Transverse Momentum

QUANTAL VERSUS CLASSICAL PHASE-SPACE DYNAMICS OF HEAVY-ION REACTIONS

1987 ◽  
Vol 48 (C2) ◽  
pp. C2-185-C2-194
Author(s):  
W. CASSING
Keyword(s):  
Phase Space ◽  
Heavy Ion ◽  
Heavy Ion Reactions ◽  
Space Dynamics ◽  
Classical Phase Space

MANAGEMENT OF THE SUCCESS OF STUDENT’S LEARNING BASED ON THE MARKOV MODEL

2018 ◽  
pp. 4-11
Author(s):  
M. V. Noskov ◽  
M. V. Somova ◽  
I. M. Fedotova
Keyword(s):  
Information System ◽  
Markov Process ◽  
Continuous Time ◽  
Information Technologies ◽  
Educational Process ◽  
Automated Information System ◽  
The Subject ◽  
The University ◽  
Independent Work ◽  
Near Future

The article proposes a model for forecasting the success of student’s learning. The model is a Markov process with continuous time, such as the process of “death and reproduction”. As the parameters of the process, the intensities of the processes of obtaining and assimilating information are offered, and the intensity of the process of assimilating information takes into account the attitude of the student to the subject being studied. As a result of applying the model, it is possible for each student to determine the probability of a given formation of ownership of the material being studied in the near future. Thus, in the presence of an automated information system of the university, the implementation of the model is an element of the decision support system by all participants in the educational process. The examples given in the article are the results of an experiment conducted at the Institute of Space and Information Technologies of Siberian Federal University under conditions of blended learning, that is, under conditions when classroom work is accompanied by independent work with electronic resources.

Phase space of mechanical systems with a gauge group

1991 ◽  
Vol 161 (2) ◽  
pp. 13-75 ◽  
Author(s):  
Lev V. Prokhorov ◽  
Sergei V. Shabanov
Keyword(s):  
Phase Space ◽  
Gauge Group ◽  
Mechanical Systems
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