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'39. Inner Product Spaces' Video Lecture
39. Inner Product Spaces
Course
:
Linear Algebra
Discipline
:
Mathematics
Faculty
: Dr. K.C. Sivakumar
Institute
:
IIT Madras
39. Inner Product Spaces
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Linear Algebra (Mathematics)
Video Lectures by
Dr. K.C. Sivakumar
from
IIT Madras
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40. Norms on Vector spaces. The Gram-Schmidt Procedure I
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Course Video Lectures
1. Introduction to the Course Contents.
2. Linear Equations
3a. Equivalent Systems of Linear Equations I:..
3b. Equivalent Systems of Linear Equations II..
4. Row-reduced Echelon Matrices
5. Row-reduced Echelon Matrices and Non-homog..
6. Elementary Matrices, Homogeneous Equations..
7. Invertible matrices, Homogeneous Equations..
8. Vector spaces
9. Elementary Properties in Vector Spaces. Su..
10. Subspaces (continued), Spanning Sets, Lin..
11. Basis for a vector space
12. Dimension of a vector space
13. Dimensions of Sums of Subspaces
14. Linear Transformations
15. The Null Space and the Range Space of a L..
16. The Rank-Nullity-Dimension Theorem. Isomo..
17. Isomorphic Vector Spaces, Equality of the..
18. Equality of the Row-rank and the Column-r..
19. The Matrix of a Linear Transformation
20. Matrix for the Composition and the Invers..
21. Linear Functionals. The Dual Space. Dual ..
22. Dual Basis II. Subspace Annihilators I
23. Subspace Annihilators II
24. The Double Dual. The Double Annihilator
25. The Transpose of a Linear Transformation...
26. Eigenvalues and Eigenvectors of Linear Op..
27. Diagonalization of Linear Operators. A Ch..
28. The Minimal Polynomial
29. The Cayley-Hamilton Theorem
30. Invariant Subspaces
31. Triangulability, Diagonalization in Terms..
32. Independent Subspaces and Projection Oper..
33. Direct Sum Decompositions and Projection ..
34. Direct Sum Decomposition and Projection O..
35. The Primary Decomposition Theorem and Jor..
36. Cyclic Subspaces and Annihilators
37. The Cyclic Decomposition Theorem I
38. The Cyclic Decomposition Theorem II. The ..
39. Inner Product Spaces
40. Norms on Vector spaces. The Gram-Schmidt ..
41. The Gram-Schmidt Procedure II. The QR Dec..
42. Bessel's Inequality, Parseval's Indentity..
43. Best Approximation: Least Squares Solutio..
44. Orthogonal Complementary Subspaces, Ortho..
45. Projection Theorem. Linear Functionals
46. The Adjoint Operator
47. Properties of the Adjoint Operation. Inne..
48. Unitary Operators
49. Unitary operators II. Self-Adjoint Operat..
50. Self-Adjoint Operators II - Spectral Theo..
51. Normal Operators - Spectral Theorem
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