We will solve the given question by giving the definition of null space.

Let U and V be two vector spaces and T be any linear transformation from U to V then

The Kernel of T is called null space. In other words the subspace of U whose each vector is mapped onto zero of V under T is called null space.

For a matrix A we can define null space as the null space as the null space of a matrix A consists of all the vectors B such that AB=0 and B \(\displaystyle\notin\) 0

Let U and V be two vector spaces and T be any linear transformation from U to V then

The Kernel of T is called null space. In other words the subspace of U whose each vector is mapped onto zero of V under T is called null space.

For a matrix A we can define null space as the null space as the null space of a matrix A consists of all the vectors B such that AB=0 and B \(\displaystyle\notin\) 0