About the Null Space
The null space (kernel) of a matrix A is the set of all vectors x with Ax = 0. Its dimension, the nullity, plus the rank equals the number of columns (rank–nullity theorem). A non-trivial null space means the columns are dependent and Ax = b has infinitely many solutions when it has any.
Enter a matrix. The calculator row-reduces it with exact fractions, identifies pivot and free variables, writes each pivot variable in terms of the free ones, and gives one basis vector per free variable, scaled to whole numbers.
