Difference between revisions of "MAT5283"

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''Contents''
 
''Contents''
(This course has been designed for advanced undergraduate students and first year graduate students.  The subjects have been developed to include material that is fundamental for contemporary applications of linear algebra like Error-Correcting Codes, Cryptography, Quantum Computing and Quantum Algorithms. Topics include: (1) Algebraic Structures: rings, matrices, polynomials, fields and finite fields (2) Vector spaces: subspaces, linear independence, basis, dimension (3) Linear transformations, isomorphisms, Rank-Nulity Theorem, Product and Quotient Spaces (3) Matrices and Linear Transformations: Matrix representation, change of basis, equivalence of matrices, similarity (4) Eigenvalues and Eigenvectors: The Cayley-Hamilton Theorem, Diagonalization and Jordan Canonical forms (4) Real and Complex Inner Product Spaces: Norm, distances, Cauchy-Schwartz inequality, Gram-Schmidt Orthogonalization process, The Projection Theorem, Riez Representation Theorem (5) Orthogonality over finite fields
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(1) Algebraic Structures: rings, matrices, polynomials, fields and finite fields (2) Vector
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spaces: subspaces, linear independence, basis, dimension (3) Linear transformations, isomor-
 +
phisms, Rank-Nullity Theorem, Product and Quotient Spaces (3) Matrices and Linear Transfor-
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mations: Matrix representation, change of basis, equivalence of matrices, similarity (4) Eigen-
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values and Eigenvectors: The Cayley-Hamilton Theorem, Diagonalization and Jordan Canoni-
 +
cal forms (4) Real and Complex Inner Product Spaces: Norm, distances, Cauchy-Schwartz in-
 +
equality, Gram-Schmidt Orthogonalization process, The Projection Theorem, Riez Representa-
 +
tion Theorem (5) Orthogonality over finite fields (6) Multilinear algebra : Bilinear Forms and
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Functionals, Tensor product of vector spaces and Matrices.

Revision as of 17:06, 24 March 2026

Introduction to the theory of finite-dimensional vector spaces.

Catalog entry

Prerequisite: Prerequisite: Math 2233 Linear Algebra, Math 2243 Applied Linear Algebra or instructor approval. , or instructor consent.

Contents (1) Algebraic Structures: rings, matrices, polynomials, fields and finite fields (2) Vector spaces: subspaces, linear independence, basis, dimension (3) Linear transformations, isomor- phisms, Rank-Nullity Theorem, Product and Quotient Spaces (3) Matrices and Linear Transfor- mations: Matrix representation, change of basis, equivalence of matrices, similarity (4) Eigen- values and Eigenvectors: The Cayley-Hamilton Theorem, Diagonalization and Jordan Canoni- cal forms (4) Real and Complex Inner Product Spaces: Norm, distances, Cauchy-Schwartz in- equality, Gram-Schmidt Orthogonalization process, The Projection Theorem, Riez Representa- tion Theorem (5) Orthogonality over finite fields (6) Multilinear algebra : Bilinear Forms and Functionals, Tensor product of vector spaces and Matrices.