Topics in Quaternion Linear Algebra

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A01=Leiba Rodman
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Algebraic equation
Algebraic Riccati equation
Applied mathematics
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Automorphism
Boundedness
Canonical form
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Clifford algebra
Coefficient
Compact space
Companion matrix
Complex number
Computation
Convex set
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Determinant
Diagonal matrix
Diagonalizable matrix
Dimension (vector space)
Direct sum
Division algebra
Division by zero
Division ring
Eigenvalues and eigenvectors
Endomorphism
eq_isMigrated=2
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Equation
Equivalence class
Existential quantification
Factorization
Hamiltonian matrix
Hermitian matrix
Invariant subspace
Invertible matrix
Jordan normal form
Language_English
Linear algebra
Linear combination
Linear differential equation
Linear independence
Linear map
Lipschitz continuity
Main diagonal
Mathematical induction
Mathematics
Matrix (mathematics)
Matrix decomposition
Matrix pencil
Matrix polynomial
Matrix representation
Metric space
Natural number
Numerical range
Open problem
Orthogonality
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Permutation
Polynomial
Positive real numbers
Positive semidefinite
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Projection (linear algebra)
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Quaternion
Quaternion algebra
Real number
Scalar multiplication
Scientific notation
softlaunch
Square root
Summation
Symmetric matrix
Symplectic vector space
Theorem
Triangular matrix
Vector space
Without loss of generality

Product details

  • ISBN 9780691161853
  • Weight: 936g
  • Dimensions: 178 x 254mm
  • Publication Date: 24 Aug 2014
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied mathematics, physics, computer science, and engineering. This is the first book to provide a systematic, accessible, and self-contained exposition of quaternion linear algebra. It features previously unpublished research results with complete proofs and many open problems at various levels, as well as more than 200 exercises to facilitate use by students and instructors. Applications presented in the book include numerical ranges, invariant semidefinite subspaces, differential equations with symmetries, and matrix equations. Designed for researchers and students across a variety of disciplines, the book can be read by anyone with a background in linear algebra, rudimentary complex analysis, and some multivariable calculus. Instructors will find it useful as a complementary text for undergraduate linear algebra courses or as a basis for a graduate course in linear algebra. The open problems can serve as research projects for undergraduates, topics for graduate students, or problems to be tackled by professional research mathematicians. The book is also an invaluable reference tool for researchers in fields where techniques based on quaternion analysis are used.
Leiba Rodman is professor of mathematics at the College of William & Mary. His books include Matrix Polynomials, Algebraic Riccati Equations, and Indefinite Linear Algebra and Applications.

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