Lesson 4 of 32 • 2 upvotes • 5:39mins
Here another important topic from Linear vector space and that is Independent and dependent vectors. So take into what are linearly independent vectors and what linearly dependent vectors and work out some examples.
32 lessons • 4h 43m
Linear Vector Spaces (in Hindi)
8:41mins
Dual Vector Spaces (in Hindi)
8:55mins
Inner Product and Norm of a Vector (in Hindi)
11:14mins
Linearly Independent Vectors (in Hindi)
5:39mins
Dimension of a Vector Space and Orthonormal Basis (in Hindi)
10:56mins
Gram-Schmidt Orthonormalization (in Hindi)
11:10mins
Problem Solution Of Lecture 06
5:26mins
Pauli Matrix As Basis
13:18mins
Linear Transformation as Matrix
15:00mins
Matrix as Linear Transformation : 02
5:40mins
Linear Operator
13:00mins
The Projection Operator
7:42mins
Matrix Elements Of Linear Operator
6:49mins
Operator Spaces
6:15mins
Adjoint Of An Operator
11:05mins
Span of LVS
5:31mins
Hermition, Anti-Hermition And Unitary Operators
8:09mins
Problem Solutions Lec. 17
3:26mins
Active And Passive Transformation
6:52mins
Eigen Vector And Eigen Values
10:20mins
The Eigen Value Problem
15:00mins
EigenValues Of Hermition Matrices
5:10mins
Degeneracy
8:11mins
Spectral Theorem Of Unitary Operators
9:33mins
Change Of Basis
9:00mins
Diagonalization Of Matrix & Eigen Basis
10:12mins
Diagonalization Of Hermition Matrix
8:40mins
The Propagator
14:22mins
The Propagator Part 2
4:06mins
Functions Of Operators
6:17mins
Derivatives Of Operators
8:06mins
Concept of Infinite Dimensional Vector Spaces
9:12mins