Math 2.0

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Linear Algebra AQFT27XT6H

URIm2://res/AQFT27XT6H
Kindcourse
CreatorsDilip P. Patil (instructor)
Date2017-01-17
Scopein
Idscourse 04dese585:111108098

Expressions

e1: edition

Languageen
Date2017-01-17
Contents
  • part 1: Week1
  • session 1: Introduction to Algebraic Structures - Rings and Fields
  • session 2: Definition of Vector Spaces
  • session 3: Examples of Vector Spaces
  • session 4: Definition of subspaces
  • session 5: Examples of subspaces
  • part 2: Week 2
  • session 6: Examples of subspaces (continued)
  • session 7: Sum of subspaces
  • session 8: System of linear equations
  • session 9: Gauss elimination
  • session 10: Generating system , linear independence and bases
  • part 3: Week3
  • session 11: Examples of a basis of a vector space
  • session 12: Review of univariate polynomials
  • session 13: Examples of univariate polynomials and rational functions
  • session 14: More examples of a basis of vector spaces
  • session 15: Vector spaces with finite generating system
  • part 4: Week 4
  • session 16: Steinitzs exchange theorem and examples
  • session 17: Examples of finite dimensional vector spaces
  • session 18: Dimension formula and its examples
  • session 19: Existence of a basis
  • session 20: Existence of a basis (continued)
  • part 5: Week 5
  • session 21: Existence of a basis [continued]
  • session 22: Introduction to Linear Maps
  • session 23: Examples of Linear Maps
  • session 24: Linear Maps and Bases
  • session 25: Pigeonhole principle in Linear Algebra
  • part 6: Week 6
  • session 26: Interpolation and the rank theorem
  • session 27: Examples
  • session 28: Direct sums of vector spaces
  • session 29: Projections
  • session 30: Direct sum decomposition of a vector space
  • part 7: Week 7
  • session 31: Dimension equality and examples
  • session 32: Dual spaces
  • session 33: Dual spaces (continued)
  • session 34: Quotient spaces
  • session 35: Homomorphism theorem of vector spaces
  • part 8: Week 8
  • session 36: Isomorphism theorem of vector spaces
  • session 37: Matrix of a linear map
  • session 38: Matrix of a linear map (continued)
  • session 39: Matrix of a linear map [continued]
  • session 40: Change of bases
  • part 9: Week 9
  • session 41: Computational rules for matrices
  • session 42: Rank of a matrix
  • session 43: Computation of the rank of a matrix
  • session 44: Elementary matrices
  • session 45: Elementary operations on matrices
  • part 10: Week 10
  • session 46: LR decomposition
  • session 47: Elementary Divisor Theorem
  • session 48: Permutation groups
  • session 49: Canonical cycle decomposition of permutations
  • session 50: Signature of a permutation
  • part 11: Week 11
  • session 51: Introduction to multilinear maps
  • session 52: Multilinear maps (continued)
  • session 53: Introduction to determinants
  • session 54: Determinants (continued)
  • session 55: Computational rules for determinants
  • part 12: Week 12
  • session 56: Properties of determinants and adjoint of a matrix
  • session 57: Adjoint-determinant theorem
  • session 58: The determinant of a linear operator
  • session 59: Determinants and Volumes
  • session 60: Determinants and Volumes (continued)

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