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Topics Lecture No. Module I : Linear Equations and Matrices 1 Row transformations^ -^ Gaussian^ –^ elimination &^ Problems 2 Gauss-Jordan^ –^ elimination & Problems 3 Elementary^ matrices^ –^ introduction 4 Lemma 1.7, Theorems 1.8^ with proofs,^ Theorem 1.9,^ Cor.1.10 stmt only 5 Finding^ inverse of^ matrices^ -^ Permutation^ matrix 6 LU factorization and solving system^ of linear equations^ LU factorization^ –^ Problems Module II: Vector Spaces 7 The Euclidean space n R and Vector spaces – Definition, Examples, Theorem 3.1 with proof, theorem 3.2 stmt only (^8) Subspace – def, examples, theorem 3.3 statement only, theorem 3.4 with proof
10 Linearly dependent-independent- bases – (only statements of theorems 3.6, lemma 3.7), theorem 3. with proof 11 Dimensions-finite dimensional vector space, Lemma 3.9, Theorems 3.10, 3.11,3.12 only statements, Corollary 3.13 with proof 12 Construction of bases^ –^ examples Module III: Subspace Properties 13 Row and column spaces^ –^ definition-examples, theorem 3.14 only statement 14 Bases for^ Row and column spaces^ –^ examples 15 Rank and nullity^ –^ definition,^ theorem 3.15,^ stmt only,^ theorem 3.17, corollary 3.18^ with proofs, theorem 3.21 stmt only 16 Bases for subspaces, theorem 3.22^ –^ proof^ should be explained as the proof gives the method to find basis for sum and intersection of subspaces 17 Theorem 3.23^ with proof, Bases for subspaces^ – Examples 18 Invertibility – theorem 3.24, 3.25, 3.26 only statements , Application to interpolation Module IV: Linear Transformations
21 Invertible linear transformation, lemma 4.6 with proof 22 Theorem 4.7, corollary 4.8 with proofs 23 Matrices of Linear transformations-examples Theorem 4.9 without proof
24 Vector space of linear transformation - def, lemma 4.10, 4.11, theorem 4.12, 4.13 statements only- Examples, theorem 4.14 with proof- related examples 25 Change of bases – examples Similarity of matrices - theorem 4.15, Cor. 4.16 only statements – examples Module V: Inner Product Spaces 26 Dot products and inner products 27 Theorem 5.1, lemma 5.2, corollary 5.3 Theorem 5.4 with proofs 28 the length and angle of vectors 29 Matrix representation of inner product 30 Gram-Schmidt orthogonalization process – theorem 5.6. The proof is a constructive proof and hence should be taught 31 Gram-Schmidt orthogonalization process – examples, Theorem 5.7 with proof Module VI: Applications of Inner Product Spaces 32 Projection – definition - theorem 5.9 with proof 33 orthogonal projections – definition – theorem 5.11, Cor. 5.12 statements only 34 Theorem 5.13, problems on orthogonal projections 35 Relations of fundamental subspaces–lemma 5.14, 5.15 with proofs,^ theorem 5.16,^ coro 5. statement only 36 Least Squares^ solutions^ Theorem 5.24^ statement only,^ Problems 37 QR factorization - ref books 2(7.7.1) and 1 (from 1 Theorems 5.25, 5.26, 5.27, 5.28,5.29 stmt only), Problems Module VII: Applications of Linear equations 38 An introduction to coding - Classical Cryptography – Key, Plain Text, Cipher Text