Course11110605152 lectures
Linear Algebra
Dr. K.C. Sivakumar · IIT Madras
Lectures
SYSTEMS OF LINEAR EQUATIONS
- 1. Introduction to the Course Contents.
- 2. Linear Equations
- 3a. Equivalent Systems of Linear Equations I: Inverses of Elementary Row-operations, Row-equivalent matrices
- 3b. Equivalent Systems of Linear Equations II: Homogeneous Equations, Examples
- 4. Row-reduced Echelon Matrices
- 5. Row-reduced Echelon Matrices and Non-homogeneous Equations
- 6. Elementary Matrices, Homogeneous Equations and Non-homogeneous Equations
- 7. Invertible matrices, Homogeneous Equations Non-homogeneous Equations
VECTOR SPACES
- 8. Vector spaces
- 9. Elementary Properties in Vector Spaces. Subspaces
- 10. Subspaces (continued), Spanning Sets, Linear Independence, Dependence
BASIS AND DIMENSION
LINEAR TRANSFORMATIONS
- 14. Linear Transformations
- 15. The Null Space and the Range Space of a Linear Transformation
- 16. The Rank-Nullity-Dimension Theorem. Isomorphisms Between Vector Spaces
- 17. Isomorphic Vector Spaces, Equality of the Row-rank and the Column-rank I
- 18. Equality of the Row-rank and the Column-rank II
MATRIX OF A LINEAR TRANSFORMATION
- 19. The Matrix of a Linear Transformation
- 20. Matrix for the Composition and the Inverse. Similarity Transformation
THE DUAL SPACE
- 21. Linear Functionals. The Dual Space. Dual Basis I
- 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. Matrices of a Linear Transformation and its Transpose
EIGENVALUES AND EIGENVECTORS
- 26. Eigenvalues and Eigenvectors of Linear Operators
- 27. Diagonalization of Linear Operators. A Characterization
- 28. The Minimal Polynomial
- 29. The Cayley-Hamilton Theorem
INVARIANT SUBSPACES AND TRIANGULABILITY
- 30. Invariant Subspaces
- 31. Triangulability, Diagonalization in Terms of the Minimal Polynomial
- 32. Independent Subspaces and Projection Operators
DIRECT SUM DECOMPOSITIONS
- 33. Direct Sum Decompositions and Projection Operators I
- 34. Direct Sum Decomposition and Projection Operators II
PRIMARY AND CYCLIC DECOMPOSITION THEOREMS
- 35. The Primary Decomposition Theorem and Jordan Decomposition
- 36. Cyclic Subspaces and Annihilators
- 37. The Cyclic Decomposition Theorem I
- 38. The Cyclic Decomposition Theorem II. The Rational Form
INNER PRODUCT SPACES
- 39. Inner Product Spaces
- 40. Norms on Vector spaces. The Gram-Schmidt Procedure I
- 41. The Gram-Schmidt Procedure II. The QR Decomposition.
- 42. Bessel's Inequality, Parseval's Indentity, Best Approximation
BEST APPROXIMATION
- 43. Best Approximation: Least Squares Solutions
- 44. Orthogonal Complementary Subspaces, Orthogonal Projections
- 45. Projection Theorem. Linear Functionals
ADJOINT OF A LINEAR OPERATOR
SELF-ADJOINT, NORMAL AND UNITARY OPERATORS
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Madras
- Department
- Mathematics
- Teacher
- Dr. K.C. Sivakumar
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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