Linear Algebra | Reduced Row Echelon | Best Explanation With Animation

MindRiddlex
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1 Video View·Oct 27, 2026
Linear Algebra | Reduced Row Echelon | Best Explanation With Animation
Linear Algebra, Reduced Row Echelon
Engineering Mathematics, B.Sc. Mathematics,
Helpful Engineers, Science students, and those who are preparing for NET, GATE, SET, SLET exams
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Video Summary
AI GeneratedThis video provides a comprehensive explanation of the Reduced Row Echelon Form (RREF) of a matrix. It outlines the four specific mathematical conditions a matrix must meet to be classified as RREF and demonstrates these rules through a series of five practical examples to illustrate both compliant and non-compliant matrices.
Friends, in this video,
we are going to discuss
reduced row echelon form.
It is a form of matrix which satisfy the following conditions.
First condition, there is a zero row,
then it should at the bottom of the matrix.
So here we have zero row, it should at bottom of the matrix.
That means there is no non-zero below this zero row.
So it should be in this form, then it satisfy the condition.
then there is a no non-zero below this zero row.
Second condition if there is a non-zero then first
non-zero entry should be 1 which is called the leading one of the row.
So we have first three
non-zero then the green star entry are the leading
entries because rows start from left to right.
This first non-zero entry should be 1
and which is called the leading one of the row. Third condition
if there is a two consecutive non-zero row
then below row should have more zero than the above row
before leading one. So we have three consecutive non-zero row.
In the first row there is a 0 0
before the leading one. In the second row there
is a 2 0 before the leading one and in the third
row there is a 1 0 before the leading one.
So by the condition first and second row satisfy the
condition because below row is second row
which has two zero which is more than the first row
because first row is zero zero before the leading one
and the second and third row third row has one
zero before the leading one
and second row has two zero before the leading one so this two row does
not satisfy the condition and it should in this position
then satisfy the condition number three
now condition 4 in the column of leading one all
other entry should be 0 except the leading one
so we have three column of leading one
then in the first column except the leading one all the
entries are 0 in the second and third column these star entries
and this star entry should be 0
then it satisfies the fourth condition
and a matrix will satisfy all the four condition
it is in the reduced row echelon form now example
is the following matrix is in the reduced row
echelon form so we are going to check one
by one condition first condition there is a zero row
should at the bottom but there is a non-zero below
the zero row therefore it does not satisfy the
first condition and hence the matrix
not in the reduced row echelon form example number two first
condition 0 row should at the bottom correct it satisfy
the first condition leading one concept
so first non-zero as leading one second non-zero first non-zero entry
is one so it satisfy the
condition in the third row first non-zero entry is two in place of one
so it does not satisfy
the condition and the second condition
is violated therefore a is not in the reduced
row echelon form example number three first
condition zero row should at the bottom correct
second condition leading one
so first row begin with the leading one second row first non-zero
entry is one and the third row first non-zero entry is one
so satisfy the second condition
third condition for two consecutive non-zero
second row has more zero than the first row
first second and third row so in the first row
zero zero before the leading one in the second
row one zero before the leading one
and the third row zero zero before the leading one so first and
second row satisfy that the below row has more zero than the above row
but in the second and
third row third row has zero zeros
and the second row has one zero so it does not satisfy the third
condition and hence this matrix
is not in the reduced row echelon form fourth example first
condition zero row should
at the bottom correct second condition leading one yes first second
and third row begin with the leading one third
condition two consecutive non-zero so first row
is 0 0 second row is 1 0 and the third row is 2 0 before
the leading one therefore they satisfy the
third condition now the fourth condition
in the column of leading one all the entries 0 except
the leading one so in the first column all
the entries are zero except the one in the second and
third column we have one
and minus one they are non-zero entries therefore they does not satisfy
the fourth condition hence this matrix
is not in the reduced row echelon form example number five
first condition zero row should at the bottom
which is correct leading one which is also correct
before the leading one there is a more 0 in the below row
so for the first second and third row
0 0s in the first row 1 0 in the second row
and 2 0 in the third row before the leading one
and they satisfy the third condition fourth condition
in the column of leading one other
entry should be 0 so we have three columns
with the leading one first column all the entries are
0 second column all the entries are 0
and the third column all the entries are 0 except the
leading one therefore fourth condition is also satisfied by the matrix
and hence it is in the
reduced row echelon form thanks for watching
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