A first course in linear algebra by Robert A Beezer

By Robert A Beezer

A primary direction in Linear Algebra is an advent to the elemental thoughts of linear algebra, in addition to an creation to the suggestions of formal arithmetic. It starts off with structures of equations and matrix algebra sooner than entering into the idea of summary vector areas, eigenvalues, linear alterations and matrix representations. It has a variety of labored examples and workouts, in addition to exact statements of definitions and whole proofs of each theorem, making it perfect for self reliant research.

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Section VO PI Proving Identities . . . . . . . . . . . . . . . 105 Section LC DC Decompositions . . . . . . . . . . . . . . . 113 Section Section Section Section Section P SS LI LDS O MO Practice . . . . . . . . . . . . . . . . . TI83 Row Reduce (Mathematica) (TI-86) . . (TI-83) . . (Mathematica) (TI-86) . . . (TI-83) . . . . . . . . . . . . . .

MMA Linear Solve (Mathematica) . . . . . . . . . . . MMAVector Linear Combinations (Mathematica) . . . . . . . TI86 Vector Linear Combinations (TI-86) . . . . . . . . . TI83 Vector Linear Combinations (TI-83) . . . . . . . . . MMA Transpose of a Matrix (Mathematica) . . . . . . . . . TI86 Transpose of a Matrix (TI-86) . . . . . . . . . . . MMA Matrix Multiplication (Mathematica) .

70 xxxiv Examples DAB DMS3 NDMS4 DEHD HPDM Diagonalization of Archetype B . . . Diagonalizing a matrix of size 3 . . . A non-diagonalizable matrix of size 4 . Distinct eigenvalues, hence diagonalizable High power of a diagonalizable matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491 493 496 497 498 Section LT ALT NLT LTPM LTPP LTM MFLT MOLT LTDB1 LTDB2 LTDB3 SPIAS STLT SMLT CTLT A linear transformation . . . . .

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