Applied Linear Algebra, Study Guides, Projects, Research of Algebra

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2019/2020

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Schedule of Instructions MAT 3004 – Applied Linear Algebra
MAT 3004– Applied Linear
Algebra
Prerequisite: Applications of Diffference and Differential Equations
( MAT2002)
Topics
Lecture No.
Module
I
:
Linear
Equations and Matrices
1 Row transformations - Gaussian – elimination & Problems
2 Gauss-Jordan – elimination & Problems
3
Ele
m
entary
m
atrices
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 s
ystem
of linear equations
L
U factor
ization
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
9 Linear combination – Span – examples - theorem 3.5
stmt only
e
s
10
Linearly dependent-independent- bases – (only statements of theorems 3.6, lemma 3.7), theorem 3.8
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
I
V:
Linear
Transformations
19 Linear transformation- definition- simple examples
Theorems 4.1, 4.2
with proofs
20
Theorem
4.
3,
Cor. 4.4 statement only;
Linear transformation- examples
21
Inve
rtible
linear transfor
m
ation
, lemma 4.6
with proof
2
2
Theorem 4.7, corollary 4.8
with proofs
23 Matrices of Linear transformations-examples Theorem 4.9 without proof
pf3

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Schedule of Instructions MAT 3004 – Applied Linear Algebra

MAT 3004 – Applied Linear Algebra

Prerequisite: Applications of Diffference and Differential Equations ( MAT2002)

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

9 Linear combination^ –^ Span^ –^ examples^ -^ theorem 3.5^ stmt only^ e

s

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

19 Linear transformation- definition- simple examples Theorems 4.1, 4.2 with proofs

20 Theorem 4.3, Cor. 4.4 statement only; Linear transformation- examples

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

  • Reference: books 2 (2.1) and 4 (5.21)-only Concept, Definitions and Simple examples 39 Cryptosystem by Linear Equations^ -^ Reference:^ 1(1.9.1) 40 Problems 41 Introduction to Wavelets^ -^ Reference: book 2 (2.7) 42 Approximation of Wavelet^ from Raw data^ -^ Reference: book 2 (2.7) 43 Approximation of Wavelet^ from Raw data^ -^ Continued 44 - 45 Module VIII: Expert Lecture Applications to computer graphics: translation, rotation, - reflection , scaling, shear – Wavelet transform Modules I – IV, VI,VII : Reference - Text book 1- Syllabus copy Modules V,VIII : Reference books specified 46 to 60 Tutorials for practicing problems during tutorial periods Digital Assignments for Virtual hours