
Ross M. answered 09/30/24
PhD in Mathematics with Expertise in Finite Mathematics & Application
Part (a):
Show that if v∈ Null(A), then v∈Null(ATA).
Definition of Null Space: By definition, if v∈Null(A), this means that:
Av=0.
Applying ATA :
We need to show that v∈Null(ATA). This means we need to show that:
ATAv=0.
Substituting Av=0:
Since Av=0, we can write:
ATAv=AT(Av)=AT(0)=0.
Thus, we have shown that:
ATAv=0 ⟹ v∈Null(ATA).
Part (b): Show that if v∈Null(ATA), then v∈Null(A).
Definition of Null Space: If v∈Null(ATA), then ATAv=0.
Taking the Inner Product we can rewrite this as:
∥Av∥2=(Av)T(Av)=0.
Here, ∥Av∥2 represents the squared norm of the vector Av.
The squared norm ∥Av∥2=0 implies that Av=0.

Ross M.
You are right. I just assumed that student knew that. Besides this is just a guidance on how to solve. not a complete solution.09/30/24
James S.
09/30/24