Mathematics & Statistics
Texas Tech University
Kent Pearce

Department of Mathematics and Statistics
Texas Tech University
Lubbock, Texas 79409-1042
Voice: (806)742-2566 x 226
FAX: (806)742-1112
Email: kent.pearce@ttu.edu

Math 2360
Linear Algebra
Summer II 2008
Leon, Steven J
Linear Algebra
Pearson

Review Exam III
Section Content      Suggested Problems
Section 3.5
  • Rn
    • Standard Basis for Rn
    • Ordered Basis in Rn
        Coordinates w.r.t Ordered Basis
    • Problem
      • 1. Given coordinates in standard basis find coordinates in ordered basis
      • 2. Given coordinates in ordered basis find coordinates in standard basis
    • Solution
      • Problem 2: Transition Matrix from Ordered Basis to Standard Basis U
      • Problem 1: Transition Matrix from Standard Basis to Ordered Basis U-1
    • Transition Matrix S from Ordered Basis F to Ordered Basis E
  • General Finite Dimensional Vector Space
    • Ordered Basis
        Coordinates w.r.t Ordered Basis
    • Problem
      • Given coordinates in ordered basis E find coordinates in ordered basis F
    • Solution
      • Problem 2: Transition Matrix S from Ordered Basis F to Ordered Basis E
1, 2, 3, 5, 6, 10
Section 3.6
  • vector space (linear space)
    • Row Space of A
    • Column Space of A
    • Theorem: Two row equivalent matrices have the same row space
    • Theorem 3.6.2 Consistency Theorem for Linear Systems
    • Theorem: A (nxn) is non-singular iff the column space of A = Rn
    • Rank of A
    • Nullity of A
    • Theorem 3.6.5. Rank-Nullity Theorem
    • Meta-Theorem: Two row equivalent matrices have different column spaces, but the same column dependency relationships
    • Theorem 3.6.6 dim(row space of A) = dim(col space of A)
1, 2, 4, 7, 8, 10, 11, 12
Section 4.1
  • Examples
    • Matrix Multiplication
  • Properties
    • L(0V) = 0W
    • L(-x) = -L(x)
    • Linear combinations
  • Kernel of L
  • Image of a Subspace under L
  • Range of L
  • Theorem 4.1.1
1, 4, 5, 6, 7, 9, 11, 17, 19
Section 4.2
  • Theorem 4.2.1 Matrix representation of Linear Transformation from Rn to Rm
  • Theorem 4.2.2 Matrix representation of Linear Transformation from V to W
  • Theorem 4.3.3 Construction of Matrix A for case of V = Rn and W = Rm in Theorem 4.2.2
  • Corollary Above construction via row equivalent transformation of an augmented matrix
1, 2, 3, 4, 6, 14, 18
Section 4.3
  • Linear Operator
  • Theorem 4.3.1
  • Similarity
1, 3, 4, 5





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Last modified on: Monday, 10-Aug-2015 12:47:29 CDT