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Duality for markov processes = a lie...
~
Giardinà, Cristian.
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Duality for markov processes = a lie algebraic approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Duality for markov processes/ by Cristian Giardinà, Frank Redig.
其他題名:
a lie algebraic approach /
作者:
Giardinà, Cristian.
其他作者:
Redig, Frank.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xiii, 551 p. :ill., digital ;24 cm.
內容註:
Chapter 1. Introduction -- Chapter 2. Basics of the algebraic approach -- Chapter 3. Duality for independent random walkers: part 1 -- Chapter 4. Duality for independent random walkers: part 2 -- Chapter 5. Duality for the symmetric inclusion process -- Chapter 6. Duality for the Brownian energy process -- Chapter 7. Duality for the symmetric partial exclusion process -- Chapter 8. Duality for other models -- Chapter 9. Orthogonal dualities -- Chapter 10. Consistency -- Chapter 11. Duality for non-equilibrium systems -- Chapter 12. Duality and macroscopic fields -- Chapter 13. Duality and integrable models.
Contained By:
Springer Nature eBook
標題:
Markov processes. -
電子資源:
https://doi.org/10.1007/978-3-032-04099-2
ISBN:
9783032040992
Duality for markov processes = a lie algebraic approach /
Giardinà, Cristian.
Duality for markov processes
a lie algebraic approach /[electronic resource] :by Cristian Giardinà, Frank Redig. - Cham :Springer Nature Switzerland :2025. - xiii, 551 p. :ill., digital ;24 cm. - Grundlehren der mathematischen Wissenschaften, a series of comprehensive studies in mathematics,v. 3652196-9701 ;. - Grundlehren der mathematischen Wissenschaften, a series of comprehensive studies in mathematics ;v. 365..
Chapter 1. Introduction -- Chapter 2. Basics of the algebraic approach -- Chapter 3. Duality for independent random walkers: part 1 -- Chapter 4. Duality for independent random walkers: part 2 -- Chapter 5. Duality for the symmetric inclusion process -- Chapter 6. Duality for the Brownian energy process -- Chapter 7. Duality for the symmetric partial exclusion process -- Chapter 8. Duality for other models -- Chapter 9. Orthogonal dualities -- Chapter 10. Consistency -- Chapter 11. Duality for non-equilibrium systems -- Chapter 12. Duality and macroscopic fields -- Chapter 13. Duality and integrable models.
This monograph studies duality in interacting particle systems, a topic combining probability theory, statistical physics, Lie algebras, and orthogonal polynomials. It offers the first comprehensive account of duality theory in the context of interacting particle systems. Using a Lie algebraic framework, the book demonstrates how dualities arise in families of systems linked to algebraic representations. The exposition centers on three key processes: independent random walks, the inclusion process, and the exclusion process-associated with the Heisenberg, su(1,1), and su(2) algebras, respectively. From these three basic cases, several new processes and their duality relations are derived. Additional models, such as the Brownian energy process, the KMP model and the Kac model, are also discussed, along with topics like the hydrodynamic limit and non-equilibrium behavior. Further, integrable systems associated to the su(1,1) algebra are studied and their non-equilibrium steady states are computed. Intentionally accessible and self-contained, this book is aimed at graduate-level researchers and also serves as a comprehensive introduction to the duality of Markov processes and beyond.
ISBN: 9783032040992
Standard No.: 10.1007/978-3-032-04099-2doiSubjects--Topical Terms:
532104
Markov processes.
LC Class. No.: QA274.7
Dewey Class. No.: 519.233
Duality for markov processes = a lie algebraic approach /
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Chapter 1. Introduction -- Chapter 2. Basics of the algebraic approach -- Chapter 3. Duality for independent random walkers: part 1 -- Chapter 4. Duality for independent random walkers: part 2 -- Chapter 5. Duality for the symmetric inclusion process -- Chapter 6. Duality for the Brownian energy process -- Chapter 7. Duality for the symmetric partial exclusion process -- Chapter 8. Duality for other models -- Chapter 9. Orthogonal dualities -- Chapter 10. Consistency -- Chapter 11. Duality for non-equilibrium systems -- Chapter 12. Duality and macroscopic fields -- Chapter 13. Duality and integrable models.
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This monograph studies duality in interacting particle systems, a topic combining probability theory, statistical physics, Lie algebras, and orthogonal polynomials. It offers the first comprehensive account of duality theory in the context of interacting particle systems. Using a Lie algebraic framework, the book demonstrates how dualities arise in families of systems linked to algebraic representations. The exposition centers on three key processes: independent random walks, the inclusion process, and the exclusion process-associated with the Heisenberg, su(1,1), and su(2) algebras, respectively. From these three basic cases, several new processes and their duality relations are derived. Additional models, such as the Brownian energy process, the KMP model and the Kac model, are also discussed, along with topics like the hydrodynamic limit and non-equilibrium behavior. Further, integrable systems associated to the su(1,1) algebra are studied and their non-equilibrium steady states are computed. Intentionally accessible and self-contained, this book is aimed at graduate-level researchers and also serves as a comprehensive introduction to the duality of Markov processes and beyond.
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