#CSIRNET CSIR NET MATHEMATICS NOV 2020 | 30th Nov | Section C | Linear Algebra | Rank of a Matrix

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CSIR NET MATHEMATICS NOV 2020 | 30th Nov | Section C | Linear Algebra | Rank of a Matrix
CSIR NET, Answer Key Nov 2020, Mathematical Science, Helpful those who are preparing for NET, GATE, SET, SLET exams
Linear Algebra | Matrix of Derivative
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Video Summary
AI GeneratedThis video provides a detailed mathematical solution to a linear algebra problem from the CSIR NET November 2020 exam. The lesson focuses on the properties of the rank of a matrix when rows and columns are deleted, evaluating four specific options to determine which statements regarding the rank of matrices $A$, $A_{1:}$, $A_{:1}$, and $A_{11}$ are correct.
Hello friends, this is Mahesh Shivalekar and you are watching NextGen.
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In this video, we are going to discuss the problem of CSIRON 8, November 2020.
Problem of Linear Algebra.
Question Let A be an m x n matrix.
Let A1 colon, A colon 1, and A11 be the matrices obtained from A by deleting row 1, deleting
column 1, deleting both row 1 and column 1 respectively, which of following holds.
We have given four options.
First option, rank of A minus 2 less than or equal to rank of A11 less than or equal
to rank of A.
Second option, rank of A1 colon equal to rank of A colon 1.
Third option, rank of A equal to rank of A1 column equal to rank of A colon 1 than rank
of A equal to rank of A11.
Fourth option, rank of A1 colon plus rank of A colon 1 plus 2 greater than or equal
to 2 times rank of A.
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It is a problem of rank of a matrix
So first we recall how can we find the rank of a matrix
The number of independent rows or columns will be the rank of a matrix
That means in the matrix the number of independent row or number of independent column will give the rank of a matrix C
Here given three definitions
First definition A1 column is the matrix obtained from matrix A by deleting row 1
A column 1 is the matrix obtained from A by deleting column 1
And A11 is the matrix obtained from A by deleting both row 1 and column 1
If we delete a row from the matrix A then rank of a matrix reduced by maximum number 1
That will give the rank of A-1 less than equal to rank of A1 column less than equal to rank of A
Rank of A1 column is obtained by deleting row 1
That means rank of a matrix reduced by maximum 1
With the same argument if we delete any column from matrix A
Then rank of a matrix A reduced by maximum 1
So we have rank of A-1 less than equal to rank of A column 1 less than equal to rank of A
A11 is obtained by deleting 1 row and 1 column
That means rank of A reduced by maximum number 2
So we have rank of A-2 less than equal to rank of A11 less than equal to rank of A
So from this three definitions we have three inequalities
If we add first two inequalities then we have rank of A plus rank of A equal to 2 rank of A
minus 1 minus 1 equal to minus 2 less than equal to rank of A1 column plus rank of A column 1
less than equal to 2 times rank of A
If we consider the first part of inequality then we have 2 times rank of A
less than equal to rank of A1 column plus rank of A column 1 plus 2
From inequality number 3 and inequality number 4
We can say that the option 1 and option 4 are the correct answer
Now we are going to discuss the option number 2
In which we have given that rank of A1 column equal to rank of A column 1
Just consider matrix A with this entry 0 1 0 0 0 0 0 0 0
A1 column is a matrix obtained by deleting first row
So if we delete first row from the matrix A then we have 0 0 0 0 0 0
And matrix A column 1 is obtained by deleting first column of the matrix
That will give the 1 0 0 0 0 0
So rank of A1 column is 0 and rank of A column 1 is 1
That means they are not equal
But option number 2 says that it is always equal which is wrong
So option number 2 is a wrong answer
Option number 3
In the option number 3 we have given that rank of A equal to rank of A1 column equal to rank of A column 1
That means there is no reduction in the rank of A by deleting row 1 or column 1
In other words first row and first column are not independent row and independent column of a matrix A
If they are independent then rank of matrix is reduced by 1
But we have given that rank of A equal to rank of A1 column equal to rank of A column 1
So they do not contribute anything in the rank of matrix A
That means if we delete row 1 and column 1 from the matrix A
There is no reduction in the rank of matrix A
That means rank of matrix A remains same after deleting row 1 and column 1
Therefore rank of A equal to rank of A11 which is obtained by deleting first row and first column
So option number 3 is the correct answer
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