Rank is equal to the number of linearly independent rows or columns in the matrix
The maximum number of linearly independent rows in a matrix A is called the row rank of A,
and the maximum number of linearly independent columns in A is called the column rank of A.
And the column rank and the row rank are always equal.
Hence the rank of a matrix A is the dimension of the vector space generated by its columns = the dimension of the space generated by its rows .
Rank is equal to the number of non zero rows in ECHLON FORM of matrix OR BOTH the things same
Yes, both are same ... the rank of a matrix in reduced row echelon form is equal to the number of non-zero rows it has .
That means row-equivalent matrices have the same row-rank.