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Mathematical Quantum Physics for Engineers and Technologists: Fundamentals (Electromagnetic Waves) - Hardcover
Synopsis
Continuing size reduction in mesoscopic and nanoscopic electronic, photonic, and plasmonic devices makes the employment of quantum physics (QP) and quantum electrodynamics (QED) inevitable. Engineers at the forefront of these fields increasingly need to have a working knowledge of QP and, more importantly, feel confident to manoeuver through the intricate calculations involved. However, electrical engineers and applied physicists are typically unfamiliar with the sophisticated mathematical apparatus in QP and QED, which is generally perceived to be formidably abstract.
This book aims to explain the mathematical foundation of QP and QED to engineers using an engineer's mindset as the starting point, and following a new line of thinking based on clarity and obviousness. The book covers topics including the resolution of identity, generalized functions, the ideal and perturbed quantum harmonic oscillator, the displacement operator, squeezed states, the Schrödinder picture, the Heisenberg picture, the Interaction picture, the Feynman path integral and quantum electrodynamics.
Written for an audience of researchers and advanced students in electrical engineering, computer science, applied mathematics and applied physics, this book guides readers towards acquiring a solid understanding of the mathematical intricacies of quantum physics.
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About the Author
Alireza Baghai-Wadji is professor emeritus of Electronic and Computational Engineering at the University of Cape Town, South Africa. He has occupied research and principal engineering consulting positions on five continents. Currently, he is promoting meso-, and nanoscopic device modelling and simulation across a consortium of universities and high-tech industries. His contributions in mathematical physics include the diagonalization of PDEs, Green's function-induced generalized Dirac delta functions, and algebraic-, exponential regularization techniques for taming infinities in near-fields.
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