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The rank of a matrix is the number of lines in the matrix (rows or columns) that are linearly independent.
A line is linearly dependent on another one or others when a linear combination between them can be established.
A line is linearly independent of another one or others when a linear combination between them cannot be established.
The rank of a matrix is symbolized as rank(A) or r(A).
Calculating the Rank of a Matrix
The Gaussian elimination method is used to calculate the rank of a matrix.
A line can be discarded if:
- All the coefficients are zeros.
- There are two equal lines.
- A line is proportional to another.
- A line is a linear combination of others.
discarded because of point 3
discarded because of point 1
discarded because of point 4
Since only two rows are unique that means the rank of matrix is 
In general, eliminate the maximum possible number of lines, and the range is the number of nonzero rows.
Therefore 
Example
Calculate the rank of the following matrix:
Therefore, .
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I appreciate your work, thanks so much keep up the good work ✅
Hello Little P! Thanks very much for the positive feedback!
I didn’t get the same answer for the second question, ive also asked my friends and we all got the same answer it just didnt line up with yours. Apart from that, great website and thanks for the exercises.
Very nice and good explanation of matrix
Give some more examples of matrix
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