mathematics is not only a sub.,
it is also a part of our life,
so every time of life do mathematics and learn mathematics

Ajay Kumar

This Course is about Linear Algebra is the most important part of mathematics. It's Cover 30% mark's in Every exam. This Course is beneficial for CSIR-UGC NET aspirants.

Crack CSIR NET by studying MATHEMATICS, PHYSICS, LIFE SCIENCE, CHEMISTRY, EARTH SCIENCE on one online platform. Everything you need to crack JRF.

CSIR-UGC NET

Hindi

(Hindi) Linear Algebra : CSIR-UGC NET

Polynomials

Linear Algebra

Mathematical Sciences

NET Exams

Ace the toughest competitive and government exams in India 

Test Preparation

Linear Algebra is the most important part of mathematics

Introduction (in Hindi)

This vedio is helpful for net,gate,tifr,nbhm,bsc and msc students.

Introduction of Matrix (in Hindi)

This vedio is helpful for net,gate,iit-jam,tifr,msc,bsc students.

Type Of Matrix, Part - 1 (in Hindi)

This vedio is helpful for net,gate,iit-jam,tifr,nbhm,msc,bsc students

Type Of Matrix, Part - 2 (in Hindi)

This video is helpful of net,gate,iit-jam,tifr,msc,bsc students.

Basic Operation of Matrix (in Hindi)

This vedio is helpful for net,gate,iit-jam,tifr,msc,bsc students

Properties /Transpose of a Matrix (in Hindi)

This vedio is helpful for net,gate,tifr,iit-jam,msc,bsc students.

Conjugate/Transposed Conjugate Of a Matrix (Hindi)

This vedio is helpful for net,gate,tifr,nbhm,msc,bsc students.

Symmetric and Hermitian Matrix (in Hindi)

This vedio is helpful for net ,gate,tifr,nbhm,msc,bsc students.

Symmetric and Hermitian Matrix Result (in Hindi)

Symmetric/Hermitian Matrix Result Part - 3 (in Hindi)

Symmetric/Hermitian Part - 4 (in Hindi)

Determinant is the most important topic of linear algebra.it's use for find minor and co-factors, eigen value,rank of matrix,about singularity etc.

Determinante (in Hindi)

Determinant is important part of linear algebra. Determinant is define the minor ,co-facter,rank of matrix, singularity etc.

Use Of Determinant And Properties (Hindi)

Determinant Questions Part-1 (Hindi)

Determinant Question Part-2 (Hindi)

In this lesson you learn solution of N linear equation in N variable (N greater than 2) using determinants(by cramer rule).

Cramer's Rule (Hindi)

In this lesson you learn about inverse of a square matrix ant it's result.

Inverse Of a Square Matrix and Result Of Adjoint Matrix (Hindi)

Discuss about inverse matrix using row operation and elementary matrix.

Elementary Matrix (Hindi)

In this lesson you learn details about Trace of matrix and properties.

Trace Of Matrices (Hindi)

In this lecture you will study about example of trace of matrices.

Questions Of Trace (Hindi)

In this lecturer you learn about orthogonal matrix and its properties.

Orthogonal Matrix (Hindi)

In this lesson u learn example of orthogonal matrices.

Questions On Othogonal Matrix (Hindi)

Unitary Matrix (Hindi)

In this lesson u study properties of unitary matrix.

Properties Of Unitary Matrix(Hindi)

In this lesson u learn idempotent matrix and it's properties.

Idempotent Matrix ((Hindi)

Involuntary matrix and it's properties (Hindi).
https://unacademy.com/lesson/previous-year-questions-hindi/2VE72VOV

Involuntary Matrix (Hindi)

Nilpotent Matrix(Hindi).

Unlock Code:  raviMLive 
CSIR-UGC Net qualified  AIR-26| IIT JAM qualified | 6+ years of teaching experience| Guided 100+ qualified candidat

Ravi Mittal

In this course, the educator will discuss Caley Hamilton Theorem and the concept of diagonalization. The minimal polynomial and trick to find the minimal polynomial will also be discussed for CSIR-UGC NET.

(Hindi) Caley Hamilton Theorem and Concept of Diagonalization - CSIR-UGC NET

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Pankaj Kumar

This Course contains beautiful explanation of fundamentals of Linear Algebra by following the books Friedberg, D.C. Lay and Hoffmann and Kunze with the Concept wise discussion of CSIR NET JRF/ IITJAM Question Bank.

Linear Algebra: CSIR-UGC NET

In this course, the educator will discuss the some basic concepts of eigen values and eigen vectors along with the some short tricks to find eigen values.

(Hindi) Eigen Values and Eigen Vectors - CSIR UGC NET

In this course i will discuss about the jordan canonical form for CSIR-UGC NET aspirants

(Hindi) CSIR-UGC NET: Course on Jordan Canonical Form

It contains beautiful fundamentals of Linear Algebra from Friedberg, D.C.Lay, Hoffmann and Kunze with previous year conceptwise discussion of CSIR NET JRF + IIT jam Questions.

(Hindi) Linear Algebra: CSIR-UGC NET

Ashitha Sivadas

This course covers topics on mainly matrices and system of linear equations and certain problems concerning that,which are very important for the coming exams.

Lessons

27 lessons • 4h 52m

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Introduction (in Hindi)

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Introduction of Matrix (in Hindi)

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Type Of Matrix, Part - 1 (in Hindi)

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Type Of Matrix, Part - 2 (in Hindi)

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Basic Operation of Matrix (in Hindi)

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Properties /Transpose of a Matrix (in Hindi)

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Conjugate/Transposed Conjugate Of a Matrix (Hindi)

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Symmetric and Hermitian Matrix (in Hindi)

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Symmetric and Hermitian Matrix Result (in Hindi)

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Symmetric/Hermitian Matrix Result Part - 3 (in Hindi)

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