filmov
tv
Normal form of a matrix | How to find rank of matrices 4x4 | Normal form of a matrix in Hindi

Показать описание
Welcome to this video, Normal form of a matrix | How to find rank of matrices 4x4 | Normal form of a matrix in Hindi.
This video contains the Normal form of a matrix | How to find the rank of matrices 4x4 | Normal form of a matrix in Hindi.
You can watch my previous video on How to find the rank of matrix by minor method | Hindi / English
This topics is very important for the students of class 12th, B.Sc, B.Tech., BBA, B.Com., B.Pharma, Diploma etc.
To watch all the videos on matrices, click on the link:
All video of Mathematics 1
In this video, you will learn what is normal form and how to reduce matrix into row normal form. What is rank when the matrix reduced into normal form?
00:00 Introduction
00:50 Description of process
02:16 Example
Matrices playlist contains the following topics: Rank of a Matrix, Solution of Simultaneous Linear Equations by Elementary Transformation, Consistency of Equation, Eigen Values and Eigen, Vectors, Diagonalization of Matrices, Cayley-Hamilton theorem and its applications to find inverse.
This video contains the Normal form of a matrix | How to find the rank of matrices 4x4 | Normal form of a matrix in Hindi.
You can watch my previous video on How to find the rank of matrix by minor method | Hindi / English
This topics is very important for the students of class 12th, B.Sc, B.Tech., BBA, B.Com., B.Pharma, Diploma etc.
To watch all the videos on matrices, click on the link:
All video of Mathematics 1
In this video, you will learn what is normal form and how to reduce matrix into row normal form. What is rank when the matrix reduced into normal form?
00:00 Introduction
00:50 Description of process
02:16 Example
Matrices playlist contains the following topics: Rank of a Matrix, Solution of Simultaneous Linear Equations by Elementary Transformation, Consistency of Equation, Eigen Values and Eigen, Vectors, Diagonalization of Matrices, Cayley-Hamilton theorem and its applications to find inverse.
Комментарии