Modules / Lectures


Sl.No Chapter Name MP4 Download
1Course introduction and properties of matricesDownload
2Vector spacesDownload
3Basis, dimensionDownload
4Linear transformsDownload
5Fundamental subspaces of a matrixDownload
6Fundamental theorem of linear algebraDownload
7Properties of rankDownload
8Inner productDownload
9Gram-schmidt algorithmDownload
10Orthonormal matrices definitionDownload
11DeterminantDownload
12Properties of determinantsDownload
13Introduction to norms and inner productsDownload
14Vector norms and their properties,Download
15Applications and equivalence of vector normsDownload
16Summary of equivalence of normsDownload
17Dual normsDownload
18Properties and examples of dual normsDownload
19Matrix normsDownload
20Matrix norms: PropertiesDownload
21Induced normsDownload
22Induced norms and examplesDownload
23Spectral radiusDownload
24Properties of spectral radiusDownload
25Convergent matrices, Banach lemmaDownload
26Recap of matrix norms and Levy-Desplanques theoremDownload
27Equivalence of matrix norms and error in inverses of linear systemsDownload
28Errors in inverses of matricesDownload
29Errors in solving systems of linear equationsDownload
30Introduction to eigenvalues and eigenvectorsDownload
31The characteristic polynomialDownload
32Solving characteristic polynomials, eigenvectors propertiesDownload
33SimilarityDownload
34DiagonalizationDownload
35Relationship between eigenvalues of BA and ABDownload
36Eigenvector and principle of biorthogonalityDownload
37Unitary matricesDownload
38Properties of unitary matricesDownload
39Unitary equivalenceDownload
40Schur's triangularization theoremDownload
41Cayley-Hamilton theoremDownload
42Uses of cayley-hamilton theorem and diagonalizability revisitedDownload
43Normal matrices: Definition and fundamental propertiesDownload
44Fundamental properties of normal matricesDownload
45QR decomposition and canonical formsDownload
46Jordan canonical formDownload
47Determining the Jordan form of a matrixDownload
48Properties of the Jordan canonical form (part 1)Download
49Properties of the Jordan canonical form (part 2)Download
50Properties of convergent matricesDownload
51Polynomials and matricesDownload
52Other canonical forms and factorization of matrices: Gaussian elimination & LU factorizationDownload
53LU decompositionDownload
54LU decomposition with pivotingDownload
55Solving pivoted system and LDM decompositionDownload
56Cholesky decomposition and usesDownload
57Hermitian and symmetric matrixDownload
58Properties of hermitian matricesDownload
59Variational characterization of Eigenvalues: Rayleigh-Ritz theoremDownload
60Variational characterization of eigenvalues (continued)Download
61Courant-Fischer theoremDownload
62Summary of Rayliegh-Ritz and Courant-Fischer theoremsDownload
63Weyl's theoremDownload
64Positive semi-definite matrix, monotonicity theorem and interlacing theoremsDownload
65Interlacing theorem IDownload
66Interlacing theorem II (Converse)Download
67Interlacing theorem (Continued)Download
68Eigenvalues: Majorization theorem and proofDownload
69Location and perturbation of Eigenvalues Part1: Dominant diagonal theoremDownload
70Location and perturbation of Eigenvalues Part2: Gersgorin's theoremDownload
71Implications of Gersgorin disc theorem, condition of eigenvaluesDownload
72Condition of eigenvalues for diagonalizable matricesDownload
73Perturbation of eigenvalues Birkhoff's theorem Hoffman - Weilandt theoremDownload
74Singular value definition and some remarks.Download
75Proof of singular value decomposition theorem.Download
76Partitioning the SVDDownload
77Properties of SVDDownload
78Generalized inverse of matricesDownload
79Least squaresDownload
80Constrained least squaresDownload

Sl.No Chapter Name English
1Course introduction and properties of matricesPDF unavailable
2Vector spacesPDF unavailable
3Basis, dimensionPDF unavailable
4Linear transformsPDF unavailable
5Fundamental subspaces of a matrixPDF unavailable
6Fundamental theorem of linear algebraPDF unavailable
7Properties of rankPDF unavailable
8Inner productPDF unavailable
9Gram-schmidt algorithmPDF unavailable
10Orthonormal matrices definitionPDF unavailable
11DeterminantPDF unavailable
12Properties of determinantsPDF unavailable
13Introduction to norms and inner productsPDF unavailable
14Vector norms and their properties,PDF unavailable
15Applications and equivalence of vector normsPDF unavailable
16Summary of equivalence of normsPDF unavailable
17Dual normsPDF unavailable
18Properties and examples of dual normsPDF unavailable
19Matrix normsPDF unavailable
20Matrix norms: PropertiesPDF unavailable
21Induced normsPDF unavailable
22Induced norms and examplesPDF unavailable
23Spectral radiusPDF unavailable
24Properties of spectral radiusPDF unavailable
25Convergent matrices, Banach lemmaPDF unavailable
26Recap of matrix norms and Levy-Desplanques theoremPDF unavailable
27Equivalence of matrix norms and error in inverses of linear systemsPDF unavailable
28Errors in inverses of matricesPDF unavailable
29Errors in solving systems of linear equationsPDF unavailable
30Introduction to eigenvalues and eigenvectorsPDF unavailable
31The characteristic polynomialPDF unavailable
32Solving characteristic polynomials, eigenvectors propertiesPDF unavailable
33SimilarityPDF unavailable
34DiagonalizationPDF unavailable
35Relationship between eigenvalues of BA and ABPDF unavailable
36Eigenvector and principle of biorthogonalityPDF unavailable
37Unitary matricesPDF unavailable
38Properties of unitary matricesPDF unavailable
39Unitary equivalencePDF unavailable
40Schur's triangularization theoremPDF unavailable
41Cayley-Hamilton theoremPDF unavailable
42Uses of cayley-hamilton theorem and diagonalizability revisitedPDF unavailable
43Normal matrices: Definition and fundamental propertiesPDF unavailable
44Fundamental properties of normal matricesPDF unavailable
45QR decomposition and canonical formsPDF unavailable
46Jordan canonical formPDF unavailable
47Determining the Jordan form of a matrixPDF unavailable
48Properties of the Jordan canonical form (part 1)PDF unavailable
49Properties of the Jordan canonical form (part 2)PDF unavailable
50Properties of convergent matricesPDF unavailable
51Polynomials and matricesPDF unavailable
52Other canonical forms and factorization of matrices: Gaussian elimination & LU factorizationPDF unavailable
53LU decompositionPDF unavailable
54LU decomposition with pivotingPDF unavailable
55Solving pivoted system and LDM decompositionPDF unavailable
56Cholesky decomposition and usesPDF unavailable
57Hermitian and symmetric matrixPDF unavailable
58Properties of hermitian matricesPDF unavailable
59Variational characterization of Eigenvalues: Rayleigh-Ritz theoremPDF unavailable
60Variational characterization of eigenvalues (continued)PDF unavailable
61Courant-Fischer theoremPDF unavailable
62Summary of Rayliegh-Ritz and Courant-Fischer theoremsPDF unavailable
63Weyl's theoremPDF unavailable
64Positive semi-definite matrix, monotonicity theorem and interlacing theoremsPDF unavailable
65Interlacing theorem IPDF unavailable
66Interlacing theorem II (Converse)PDF unavailable
67Interlacing theorem (Continued)PDF unavailable
68Eigenvalues: Majorization theorem and proofPDF unavailable
69Location and perturbation of Eigenvalues Part1: Dominant diagonal theoremPDF unavailable
70Location and perturbation of Eigenvalues Part2: Gersgorin's theoremPDF unavailable
71Implications of Gersgorin disc theorem, condition of eigenvaluesPDF unavailable
72Condition of eigenvalues for diagonalizable matricesPDF unavailable
73Perturbation of eigenvalues Birkhoff's theorem Hoffman - Weilandt theoremPDF unavailable
74Singular value definition and some remarks.PDF unavailable
75Proof of singular value decomposition theorem.PDF unavailable
76Partitioning the SVDPDF unavailable
77Properties of SVDPDF unavailable
78Generalized inverse of matricesPDF unavailable
79Least squaresPDF unavailable
80Constrained least squaresPDF unavailable


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2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available