Linear Algebra

Linear Algebra

Linda Green via YouTube Direct link

Properties of Matrix Inverses

18 of 40

18 of 40

Properties of Matrix Inverses

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Classroom Contents

Linear Algebra

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  1. 1 Linear Equations Introduction
  2. 2 Solving Systems of Linear Equations
  3. 3 Using Matrices to Solve Systems of Linear Equations
  4. 4 Reduced Row Echelon Form
  5. 5 Gaussian Elimination
  6. 6 Existence and Uniqueness of Solutions
  7. 7 Linear Equations Setup
  8. 8 Matrix Addition and Scalar Multiplication
  9. 9 Matrix Multiplication
  10. 10 Properties of Matrix Multiplication
  11. 11 Interpretations of Matrix Multiplication
  12. 12 Introduction to Vectors (Math 210)
  13. 13 Solving Vector Equations
  14. 14 Solving Matrix Equations
  15. 15 Matrix Inverses
  16. 16 Matrix Inverses for 2x2 Matrices
  17. 17 Equivalent Conditions for a Matrix to be Invertible
  18. 18 Properties of Matrix Inverses
  19. 19 Transpose
  20. 20 Symmetric and Skew-symmetric Matrices
  21. 21 Trace
  22. 22 The Determinant of a Matrix
  23. 23 Determinant and Elementary Row Operations
  24. 24 Determinant Properties.
  25. 25 Invertible Matrices and Their Determinants
  26. 26 Eigenvalues and Eigenvectors
  27. 27 Properties of Eigenvalues
  28. 28 Diagonalizing Matrices
  29. 29 Dot Product (Linear Algebra)
  30. 30 Unit Vectors
  31. 31 Orthogonal Vectors
  32. 32 Orthogonal Matrices
  33. 33 Symmetric Matrices and Eigenvectors and Eigenvalues
  34. 34 Symmetric Matrices and Eigenvalues and Eigenvectors - Proofs
  35. 35 Diagonalizing Symmetric Matrices
  36. 36 Linearly Independent Vectors
  37. 37 Gram-Schmidt Orthogonalization
  38. 38 Singular Value Decomposition - Introduction
  39. 39 Singular Value Decomposition - How To Find It
  40. 40 Singular Value Decomposition - Why It Works

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