This lecture explains the concept of Kernel or Null Space of the linear transformation and its Examples
Other videos @DrHarishGarg
#linearlgebra #vectorspace #LT
Row reduced Echelon form: https://youtu.be/yCTfbsf60NA
Rank of the matrix: https://youtu.be/Hd34nBwcBG8
Vector Subspaces: https://youtu.be/9uN7CwDqvZQ
Intersection & Union of the subspaces: https://youtu.be/UtUvk1k5YIU
Linear Span and Combination: https://youtu.be/dT0DHyE2Fz4
Direct Sum of Subspace: https://youtu.be/W1RTq9ipXI8
Linear Independence & Dependence: https://youtu.be/hH_ipFTxX5w
Part 1: Basis and Dimensions: https://youtu.be/jlbJRChuhfg
Part 2: Basis and Dimensions: https://youtu.be/qPVOOzvEW-M
Linear Transformation & Examples: https://youtu.be/vSaADFGFUPw
Range Space: https://youtu.be/n94zGgA1Pbo
Null Space or Kernel: https://youtu.be/tHjCu8LQff8