Markov Processes and Quantum Theory: Monographs in Mathematics, cartea 109
Autor Masao Nagasawaen Limba Engleză Paperback – 25 iun 2022
Readers will learn about new mathematical methods (theory of stochastic processes) in solving problems of quantum phenomena. Readers will also learn how to handle stochastic processes in analyzing physical phenomena.
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Specificații
ISBN-13: 9783030626907
ISBN-10: 3030626903
Pagini: 352
Ilustrații: XII, 339 p. 19 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.53 kg
Ediția:1st ed. 2021
Editura: birkhäuser
Colecția Monographs in Mathematics
Seria Monographs in Mathematics
Locul publicării:Cham, Switzerland
ISBN-10: 3030626903
Pagini: 352
Ilustrații: XII, 339 p. 19 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.53 kg
Ediția:1st ed. 2021
Editura: birkhäuser
Colecția Monographs in Mathematics
Seria Monographs in Mathematics
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1: Mechanics of Random Motion.- Chapter 2: Applications.- Chapter 3: Momentum, Kinetic Energy, Locality.- Chapter 4: Markov Processes.- Chapter 5: Applications of Relative Entropy.- Chapter 6: Extinction and Creation.
Recenzii
“The book is written with detailed calculations and lots of examples. It is definitely thought provoking and may be of interest to specialists in quantum theory, especially in its foundations.” (Vassili N. Kolokol'tsov, Mathematical Reviews, March, 2023)
Textul de pe ultima copertă
This book discusses quantum theory as the theory of random (Brownian) motion of small particles (electrons etc.) under external forces. Implying that the Schrödinger equation is a complex-valued evolution equation and the Schrödinger function is a complex-valued evolution function, important applications are given.
Readers will learn about new mathematical methods (theory of stochastic processes) in solving problems of quantum phenomena. Readers will also learn how to handle stochastic processes in analyzing physical phenomena.
Caracteristici
Presents a definition of quantum theory Includes relevant applications Suggests techniques for handling stochastic processes