國立虎尾科技大學 |

Stochastic Dynamics and Irreversibility

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Stochastic Dynamics and Irreversibility/ by Tânia Tomé, Mário J. de Oliveira.
Author:	Tomé, Tânia.
other author:	de Oliveira, Mário J.
Description:	XII, 394 p. 44 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Physics. -
Online resource:	https://doi.org/10.1007/978-3-319-11770-6
ISBN:	9783319117706

Stochastic Dynamics and Irreversibility
Tomé, Tânia.

Stochastic Dynamics and Irreversibility[electronic resource] /by Tânia Tomé, Mário J. de Oliveira. - 1st ed. 2015. - XII, 394 p. 44 illus.online resource. - Graduate Texts in Physics,1868-4513. - Graduate Texts in Physics,.

Random Variables -- Sequence of Independent Variables -- Langevin equation -- Fokker-Planck Equation I -- Fokker-Planck Equation II -- Markov Chains -- Master Equation I -- Master Equation II -- Phase Transitions and Criticality -- Reactive Systems -- Glauber Model -- Systems with Inversion Symmetry -- Systems with Absorbing States -- Population Dynamics -- Probabilistic Cellular automata -- Reaction-Diffusion Processes -- Random Sequential Adsoprtion -- Percolation.

This textbook presents an exposition of stochastic dynamics and irreversibility. It comprises the principles of probability theory and the stochastic dynamics in continuous spaces, described by Langevin and Fokker-Planck equations, and in discrete spaces, described by Markov chains and master equations. Special concern is given to the study of irreversibility, both in systems that evolve to equilibrium and in nonequilibrium stationary states. Attention is also given to the study of models displaying phase transitions and critical phenomema both in thermodynamic equilibrium and out of equilibrium. These models include the linear Glauber model, the Glauber-Ising model, lattice models with absorbing states such as the contact process and those used in population dynamic and spreading of epidemic, probabilistic cellular automata, reaction-diffusion processes, random sequential adsorption and dynamic percolation. A stochastic approach to chemical reaction is also presented.The textbook is intended for students of physics and chemistry and for those interested in stochastic dynamics. It provides, by means of examples and problems, a comprehensive and detailed explanation of the theory and its applications.

ISBN: 9783319117706

Standard No.: 10.1007/978-3-319-11770-6doiSubjects--Topical Terms:

564049
Physics.

LC Class. No.: QC5.53

Dewey Class. No.: 530.15

Stochastic Dynamics and Irreversibility
LDR:03078nam a22004095i 4500 001 960788
003 DE-He213
005 20200701121333.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319117706 $9 978-3-319-11770-6
024 7 $a 10.1007/978-3-319-11770-6 $2 doi
035 $a 978-3-319-11770-6
050 4 $a QC5.53
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 530.15 $2 23
100 1 $a Tomé, Tânia. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1254875
245 1 0 $a Stochastic Dynamics and Irreversibility $h [electronic resource] / $c by Tânia Tomé, Mário J. de Oliveira.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XII, 394 p. 44 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Graduate Texts in Physics, $x 1868-4513
505 0 $a Random Variables -- Sequence of Independent Variables -- Langevin equation -- Fokker-Planck Equation I -- Fokker-Planck Equation II -- Markov Chains -- Master Equation I -- Master Equation II -- Phase Transitions and Criticality -- Reactive Systems -- Glauber Model -- Systems with Inversion Symmetry -- Systems with Absorbing States -- Population Dynamics -- Probabilistic Cellular automata -- Reaction-Diffusion Processes -- Random Sequential Adsoprtion -- Percolation.
520 $a This textbook presents an exposition of stochastic dynamics and irreversibility. It comprises the principles of probability theory and the stochastic dynamics in continuous spaces, described by Langevin and Fokker-Planck equations, and in discrete spaces, described by Markov chains and master equations. Special concern is given to the study of irreversibility, both in systems that evolve to equilibrium and in nonequilibrium stationary states. Attention is also given to the study of models displaying phase transitions and critical phenomema both in thermodynamic equilibrium and out of equilibrium. These models include the linear Glauber model, the Glauber-Ising model, lattice models with absorbing states such as the contact process and those used in population dynamic and spreading of epidemic, probabilistic cellular automata, reaction-diffusion processes, random sequential adsorption and dynamic percolation. A stochastic approach to chemical reaction is also presented.The textbook is intended for students of physics and chemistry and for those interested in stochastic dynamics. It provides, by means of examples and problems, a comprehensive and detailed explanation of the theory and its applications.
650 0 $a Physics. $3 564049
650 0 $a Chemometrics. $3 784357
650 0 $a Statistical physics. $3 528048
650 0 $a Thermodynamics. $3 596513
650 0 $a Statistics . $3 1253516
650 1 4 $a Mathematical Methods in Physics. $3 670749
650 2 4 $a Math. Applications in Chemistry. $3 673515
650 2 4 $a Applications of Nonlinear Dynamics and Chaos Theory. $3 1113607
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 782247
700 1 $a de Oliveira, Mário J. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1254876
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319117713
776 0 8 $i Printed edition: $z 9783319117690
776 0 8 $i Printed edition: $z 9783319364810
830 0 $a Graduate Texts in Physics, $x 1868-4513 $3 1253956
856 4 0 $u https://doi.org/10.1007/978-3-319-11770-6
912 $a ZDB-2-PHA
912 $a ZDB-2-SXP
950 $a Physics and Astronomy (SpringerNature-11651)
950 $a Physics and Astronomy (R0) (SpringerNature-43715)