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Название: Advanced Classical and Quantum Probability Theory with Quantum Field Theory Applications
Автор: Harish Parthasarathy
Издательство: CRC Press/Manakin Press
Год: 2023
Страниц: 263
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book is based on three undergraduate and postgraduate courses taught by the author on Matrix theory, Probability theory and Antenna theory over the past several years. It discusses Matrix theory, Probability theory and Antenna theory with solved problems. It will be useful to undergraduate and postgraduate students of Electronics and Communications Engineering. The portion on matrix theory covers basic linear algebra including quotient vector spaces, variational principles for computing eigenvalues of a matrix, primary and jordan decomposition theorems for nondiagonable matrices, simultaneous triangulability, and basic matrix decomposition theorems useful in statistics, signal processing and control. It also covers Lie algebra theory culminating the celebrated root space decomposition introduced by E.Cartan of a semisimple Lie algebra in terms of Cartan subalgebras and root vectors and also some interesting topics in control theory like controllability of partial differential equations of mathematical physics including Maxwell’s equations, Dirac equation and their quantum versions.
Автор: Harish Parthasarathy
Издательство: CRC Press/Manakin Press
Год: 2023
Страниц: 263
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
This book is based on three undergraduate and postgraduate courses taught by the author on Matrix theory, Probability theory and Antenna theory over the past several years. It discusses Matrix theory, Probability theory and Antenna theory with solved problems. It will be useful to undergraduate and postgraduate students of Electronics and Communications Engineering. The portion on matrix theory covers basic linear algebra including quotient vector spaces, variational principles for computing eigenvalues of a matrix, primary and jordan decomposition theorems for nondiagonable matrices, simultaneous triangulability, and basic matrix decomposition theorems useful in statistics, signal processing and control. It also covers Lie algebra theory culminating the celebrated root space decomposition introduced by E.Cartan of a semisimple Lie algebra in terms of Cartan subalgebras and root vectors and also some interesting topics in control theory like controllability of partial differential equations of mathematical physics including Maxwell’s equations, Dirac equation and their quantum versions.