
Prove that for a real matrix $A$, $\ker (A) = \ker (A^TA)$
Is it possible to solve this supposing that inner product spaces haven't been covered in the class yet?
linear algebra - $\ker (A^TA) = \ker (A)$ - Mathematics Stack …
Sep 9, 2018 · " " Assuming that Ax = 0 A x = 0, we obtain that ATAx = A0 = 0 A T A x = A 0 = 0. " " Assuming ATAx = 0 A T A x = 0 xTATAx = 0 x T A T A x = 0 (Ax)T(Ax) = 0 Ax = 0 (A x) T (A …
linear algebra - Prove that $\ker (AB) = \ker (A) + \ker (B ...
It is not right: take $A=B$, then $\ker (AB)=\ker (A^2) = V$, but $ker (A) + ker (B) = ker (A)$.
How to find $ker (A)$ - Mathematics Stack Exchange
So before I answer this we have to be clear with what objects we are working with here. Also, this is my first answer and I cant figure out how to actually insert any kind of equations, besides …
If Ker (A)=$\ {\vec {0}\}$ and Ker (B)=$\ {\vec {0}\}$ Ker (AB)=?
Thank you Arturo (and everyone else). I managed to work out this solution after completing the assigned readings actually, it makes sense and was pretty obvious. Could you please …
Can $RanA=KerA^T$ for a real matrix $A$? And for complex $A$?
Jan 27, 2021 · It does address complex matrices in the comments as well. It is clear that this can happen over the complex numbers anyway.
Prove that $\operatorname {im}\left (A^ {\top}\right) = \ker (A ...
I need help with showing that $\ker\left (A\right)^ {\perp}\subseteq Im\left (A^ {T}\right)$, I couldn't figure it out.
linear algebra - $\dim (\ker ( (A-\lambda I) (A-\psi I))) \geq \dim ...
May 14, 2020 · In fact, the dimensions are always equal. Because we generally have dim ker(AB) = dim ker B + dim(im(B) ∩ ker A) dim ker (A B) = dim ker B + dim (im (B) ∩ ker A), it suffices to …
What does - Mathematics Stack Exchange
Oct 11, 2023 · I'm trying to investigate what $\\ker(A) \\cap \\operatorname{im}(A)$ implies for $\\operatorname{rank}(A)$ and $\\operatorname{null}(A)$. Specifically, if we have ...
How to prove strong duality by Slater's condition without the ...
Feb 11, 2021 · In Section 5.3.2 of Boyd, Vandenberghe: Convex Optimization, strong duality is proved under the assumption that ker(A^T)={0} for the linear map describing the equality …