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NITH SYLLABUS
MA-221
LINEAR ALGEBRA & APPLICATIONS
Credits
L
T
P
4
3
1
0
UNIT-1
SYSTEM OF LINEAR EQUATIONS
Matrices and elementary row operations
Row reduced echelon matrices
Homogeneous system of linear equations
Elementary matrices
LU Decomposition
Some applications giving rise to Linear Systems Problems
UNIT-2
VECTOR SPACE
Fields
Fields of numbers
Finite fields
Vector Spaces over R and C
Subspaces
Linear independence
Basis and dimension of a vector space
Ordered basis and co-ordinates
Application to difference equations and markov chains
UNIT-3
LINEAR TRANSFORMATION
Linear transformations
Rank and Nullity of linear transformation
Algebra of linear transformation
Isomorphism
Invertible linear transformations
Dual and double dual of a vector space and transpose of a linear transformation
Matrix representation of Linear Transformation
Eigenvalue and eigenvector of an linear transformation
Discrete dynamical systems
Application to differential equations
UNIT-4
EIGEN DECOMPOSITION
Diagonalizability of linear operators of finite dimensional vector spaces
Simultaneous triangulization and simultaneous diagonalization
Primary decomposition theorem - diagonal and nilpotent parts
Applications to Image processing and Statistics
UNIT-5
INNER PRODUCT SPACES
Gram-Schmidt orthogonalization
Best approximation of a vector by a vector belonging a given subspace and application to least square problems
Adjoint of an operator
Hermitian
Unitary and normal operators
Singular Value Decomposition and its applications
Spectral decomposition
Applications of Inner product spaces
BOOKS
Linear algebra and it’s applications by G. Strang, Cengage.
Linear Algebra and its Applications by D.C. Lay, Pearson.
Linear Algebra by K. Hoffman and R. Kunze, Pearson.
Linear Algebra: A Modern Introduction by D. Poole, Brooks/Cole.
Linear Algebra: A Geometric Approach by S. Kumaresan, Prentice-Hall of India.
Linear algebra (undergraduate text in mathematics) by S. Lang, Springer
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