Linear Algebra and Group Theory for Physicists and Engineers

Research output: Book/ReportBookpeer-review

1 Scopus citations

Abstract

This textbook demonstrates the strong interconnections between linear algebra and group theory by presenting them simultaneously, a pedagogical strategy ideal for an interdisciplinary audience. Being approached together at the same time, these two topics complete one another, allowing students to attain a deeper understanding of both subjects. The opening chapters introduce linear algebra with applications to mechanics and statistics, followed by group theory with applications to projective geometry. Then, high-order finite elements are presented to design a regular mesh and assemble the stiffness and mass matrices in advanced applications in quantum chemistry and general relativity. This text is ideal for undergraduates majoring in engineering, physics, chemistry, computer science, or applied mathematics. It is mostly self-contained—readers should only be familiar with elementary calculus. There are numerous exercises, with hints or full solutions provided. A series of roadmaps are also provided to help instructors choose the optimal teaching approach for their discipline. The second edition has been revised and updated throughout and includes new material on the Jordan form, the Hermitian matrix and its eigenbasis, and applications in numerical relativity and electromagnetics..
Original languageEnglish
Place of PublicationCham
Number of pages574
Edition2nd ed. 2023
ISBN (Electronic)9783031224225
DOIs
StatePublished - 1 Jan 2023

Keywords

  • Fourier matrices
  • Group theory
  • High dimensional vectors
  • Jordan decomposition
  • Jordan form
  • Linear algebra
  • Markov chain
  • Mesh generation
  • Quantum mechanics
  • matrix theory

ULI Keywords

  • uli
  • Algebras, Linear
  • Computer science—Mathematics
  • Group theory
  • Mathematical physics
  • Numerical analysis
  • Linear Algebra
  • Group Theory and Generalizations
  • Mathematical Applications in Computer Science
  • Mathematical Physics
  • Numerical Analysis

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