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Linear Algebra: Syllabus

  • Vector spaces over R and C

  • Linear dependence and independence

  • Subspaces

  • Bases

  • Dimensions

  • Linear transformations

  • Rank and nullity

  • Matrix of a linear transformation


  • Algebra of Matrices

  • Row and column reduction

  • Echelon form

  • Congruence and similarity


  • Rank of a matrix

  • Inverse of a matrix

  • Solution of system of linear equations

  • Eigenvalues and eigenvectors

  • Characteristic polynomial

  • Cayley-Hamilton theorem

  • Symmetric, skew-symmetric, Hermitian, orthogonal and unitary matrices and their eigenvalues


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