Course11110413767 lectures
Linear Algebra
Prof. Arbind Kumar Lal · IIT Kanpur
Lectures
Week 1
- Notations, Motivation and Definition
- Matrix: Examples, Transpose and Addition
- Matrix Multiplication
- Matrix Product Recalled
- Matrix Product Continued
- Inverse of a Matrix
Week 2
- Introduction to System of Linear Equations
- Some Initial Results on Linear Systems
- Row Echelon Form (REF)
- LU Decomposition - Simplest Form
- Elementary Matrices
- Row Reduced Echelon Form (RREF)
- Row Reduced Echelon Form (RREF) Continued
- RREF and Inverse
Week 3
- Rank of a matrix
- Solution Set of a System of Linear Equations
- System of n Linear Equations in n Unknowns
- Determinant
- Permutations and the Inverse of a Matrix
- Inverse and the Cramer's Rule
Week 4
- Vector Spaces
- Vector Subspaces and Linear Span
- Linear Combination, Linear Independence and Dependence
- Basic Results on Linear Independence
- Results on Linear Independence Continued...
Week 5
- Basis of a Finite Dimensional Vector Space
- Fundamental Spaces associated with a Matrix
- Rank - Nullity Theorem
- Fundamental Theorem of Linear Algebra
Week 6
- Definition and Examples of Linear Transformations
- Results on Linear Transformations
- Rank-Nullity Theorem and Applications
- Isomorphism of Vector Spaces
- Ordered Basis of a Finite Dimensional Vector Space
Week 7
- Ordered Basis Continued
- Matrix of a Linear transformation
- Matrix of a Linear transformation Continued...
- Matrix of Linear Transformations Continued...
- Similarity of Matrices
Week 8
- Inner Product Space
- Inner Product Continued
- Cauchy Schwartz Inequality
- Projection on a Vector
- Results on Orthogonality
- Results on Orthogonality.
Week 9
- Gram-Schmidt Orthonormalization Process
- Orthogonal Projections
- Gram-Schmidt Process: Applications
- Examples and Applications on QR-decomposition
- Recapitulate ideas on Inner Product Spaces
Week 10
- Motivation on Eigenvalues and Eigenvectors
- Examples and Introduction to Eigenvalues and Eigenvectors
- Results on Eigenvalues and Eigenvectors
- Results on Eigenvalues and Eigenvectors
- Results on Eigenvalues and Eigenvectors.
Week 11
- Diagonalizability
- Diagonalizability Continued...
- Schur's Unitary Triangularization (SUT)
- Applications of Schur's Unitary Triangularization
- Spectral Theorem for Hermitian Matrices
- Cayley Hamilton Theorem
Week 12
- Quadratic Forms
- Sylvester's Law of Inertia
- Applications of Quadratic Forms to Analytic Geometry
- Examples of Conics and Quartics
- Singular Value Decomposition (SVD)
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kanpur
- Department
- Mathematics
- Teacher
- Prof. Arbind Kumar Lal
- 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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