Lecture Notes
Linear Algebra (Instructor : Abhijit Pal)
Linear Algebra Lecture Note Files
Lecture 1 : Matrices, System of Linear Equations, Gauss Elimination Method
Lecture 2 : Echelon Form, Elementary Matrices & Row Reduction
Lecture 5 : Determinant, Computation of Inverse & Cramer's Rule
Lecture 7 : Linear Span of vectors, Linearly Independent & Basis Vectors
Lecture 12 : Solvability of System of Linear Equations using Rank
Lecture 13 : Inner Product Space & Cauchy-Schwarz Inequality
Lecture 14 : Orthogonal Basis, Gram Schmidt Orthogonalization & Orthogonal projection
Lecture 15 : Direct Sum of Subspaces, Fundamental Subspaces, Lease Square Solutions
Lecture 16 : Eigen Vectors, Eigen Values & Diagonalization of Matrices
Lecture 17 : Diagonalization of Matrices, Examples and applications
Lecture 18 : Orthogonal Matrix and Diagonalization of real symmetric matrices
Lecture 19 : Existence of Basis : Zorn's Lemma
ODE (Instructor : S.Ghorai)
Lecture 1 : Introduction, Concept of Solutions, Applications
Lecture 4 : Linear Equations, Bernoulli Equations, Orthogonal trajectories, Oblique trajectories
Lecture 5 : Picard’s existence and uniquness theorem, Picard’s iteration
Lecture 6 : Numerical methods: Euler’s method, improved Euler’s method
Lecture 7 : Second order linear ODE, fundamental solutions, reduction of order
Lecture 8 : Homogeneous linear ODE with constant coefficients
Lecture 9 : Non-homogeneous linear ODE, method of undetermined coefficients
Lecture 10 : Non-homegeneous linear ODE, method of variation of parameters
Lecture 16 : Strum comparison theorem, Orthogonality of Bessel functions
Lecture 19 : Laplace Transform of Periodic Functions, Convolution, Applications
The End !