
New Trends in Statistical Physics of Complex Systems
MDPI (Publisher)
1st Edition
Published on 24. January 2019
Book
Paperback/Softback
202 pages
978-3-03897-469-7 (ISBN)
Description
A topical research activity in statistical physics concerns the study of complex and disordered systems. Generally, these systems are characterized by an elevated level of interconnection and interaction between the parts so that they give rise to a rich structure in the phase space that self-organizes under the control of internal non-linear dynamics. These emergent collective dynamics confer new behaviours to the whole system that are no longer the direct consequence of the properties of the single parts, but rather characterize the whole system as a new entity with its own features, giving rise to the birth of new phenomenologies.
As is highlighted in this collection of papers, the methodologies of statistical physics have become very promising in understanding these new phenomena. This volume groups together 12 research works showing the use of typical tools developed within the framework of statistical mechanics, in non-linear kinetic and information geometry, to investigate emerging features in complex physical and physical-like systems.
As is highlighted in this collection of papers, the methodologies of statistical physics have become very promising in understanding these new phenomena. This volume groups together 12 research works showing the use of typical tools developed within the framework of statistical mechanics, in non-linear kinetic and information geometry, to investigate emerging features in complex physical and physical-like systems.
More details
Language
English
Place of publication
Basel
Switzerland
Target group
Professional and scholarly
College/higher education
Professionals/Scholars
Edition type
New edition
Product notice
Klappenbroschur
Illustrations
Illustrations
Dimensions
Height: 24.4 cm
Width: 17 cm
Thickness: 14 mm
Weight
440 gr
ISBN-13
978-3-03897-469-7 (9783038974697)
DOI
10.3390/books978-3-03897-470-3
Schweitzer Classification
Person
Guest editor
Istituto dei Sistemi Complessi-CNR c/o Politecnico di Torino, Italy