東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Statistical mechanics for athermal f...

Kanazawa, Kiyoshi.

Linked to FindBook

Google Book

Amazon

博客來

Statistical mechanics for athermal fluctuation = non-Gaussian noise in physics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical mechanics for athermal fluctuation/ by Kiyoshi Kanazawa.
Reminder of title:	non-Gaussian noise in physics /
Author:	Kanazawa, Kiyoshi.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	xvi, 222 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction to Physics of Fluctuation -- Markovian Stochastic Processes -- Kinetic Theory for Dilute Gas -- Langevin Equation and its Microscopic Derivation -- Stochastic Calculus for the Single-Trajectory Analysis -- Stochastic Energetics for Langevin Dynamics -- Microscopic Derivation of Linear Non-Gaussian Langevin Equation -- Analytical Solution to Non-linear Non-Gaussian Langevin Equation -- Stochastic Energetics for Non-Gaussian Stochastic Dynamics -- Energy Transport between Athermal Systems -- Energy Pumping from Athermal Systems -- Conclusion.
Contained By:	Springer eBooks
Subject:	Fluctuations (Physics) -
Online resource:	http://dx.doi.org/10.1007/978-981-10-6332-9
ISBN:	9789811063329

Statistical mechanics for athermal fluctuation = non-Gaussian noise in physics /
Kanazawa, Kiyoshi.

Statistical mechanics for athermal fluctuationnon-Gaussian noise in physics /[electronic resource] :by Kiyoshi Kanazawa. - Singapore :Springer Singapore :2017. - xvi, 222 p. :ill., digital ;24 cm. - Springer theses, recognizing outstanding Ph.D. research,2190-5053. - Springer theses, recognizing outstanding Ph.D. research..

Introduction to Physics of Fluctuation -- Markovian Stochastic Processes -- Kinetic Theory for Dilute Gas -- Langevin Equation and its Microscopic Derivation -- Stochastic Calculus for the Single-Trajectory Analysis -- Stochastic Energetics for Langevin Dynamics -- Microscopic Derivation of Linear Non-Gaussian Langevin Equation -- Analytical Solution to Non-linear Non-Gaussian Langevin Equation -- Stochastic Energetics for Non-Gaussian Stochastic Dynamics -- Energy Transport between Athermal Systems -- Energy Pumping from Athermal Systems -- Conclusion.

The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies. First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the au thor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods.

ISBN: 9789811063329

Standard No.: 10.1007/978-981-10-6332-9doiSubjects--Topical Terms:

598817
Fluctuations (Physics)

LC Class. No.: QC6.4.F58

Dewey Class. No.: 530.1592

Statistical mechanics for athermal fluctuation = non-Gaussian noise in physics /
LDR:03030nmm a2200325 a 4500 001 2112604
003 DE-He213
005 20180523150150.0
006 m d
007 cr nn 008maaau
008 180719s2017 si s 0 eng d
020 $a 9789811063329 $q (electronic bk.)
020 $a 9789811063305 $q (paper)
024 7 $a 10.1007/978-981-10-6332-9 $2 doi
035 $a 978-981-10-6332-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QC6.4.F58
072 7 $a PHH $2 bicssc
072 7 $a SCI065000 $2 bisacsh
082 0 4 $a 530.1592 $2 23
090 $a QC6.4.F58 $b K16 2017
100 1 $a Kanazawa, Kiyoshi. $3 3270480
245 1 0 $a Statistical mechanics for athermal fluctuation $h [electronic resource] : $b non-Gaussian noise in physics / $c by Kiyoshi Kanazawa.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a xvi, 222 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, recognizing outstanding Ph.D. research, $x 2190-5053
505 0 $a Introduction to Physics of Fluctuation -- Markovian Stochastic Processes -- Kinetic Theory for Dilute Gas -- Langevin Equation and its Microscopic Derivation -- Stochastic Calculus for the Single-Trajectory Analysis -- Stochastic Energetics for Langevin Dynamics -- Microscopic Derivation of Linear Non-Gaussian Langevin Equation -- Analytical Solution to Non-linear Non-Gaussian Langevin Equation -- Stochastic Energetics for Non-Gaussian Stochastic Dynamics -- Energy Transport between Athermal Systems -- Energy Pumping from Athermal Systems -- Conclusion.
520 $a The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies. First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the au thor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods.
650 0 $a Fluctuations (Physics) $3 598817
650 0 $a Gaussian processes. $3 672951
650 1 4 $a Physics. $3 516296
650 2 4 $a Thermodynamics. $3 517304
650 2 4 $a Complex Systems. $3 1566441
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Mathematical Applications in the Physical Sciences. $3 1566152
650 2 4 $a Statistical Physics and Dynamical Systems. $3 3135115
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer theses, recognizing outstanding Ph.D. research. $3 1619240
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-6332-9
950 $a Physics and Astronomy (Springer-11651)