Today I'm having hard time with linear algebra problems; this is one:
$\forall A,B\in M_n(\mathbb{K})$,
$\mathrm{rank}(A)+\mathrm{rank}(B)\le \mathrm{rank}(AB)+n$
$M_n(\mathbb{K})$ is the space of square matrices in the field $\mathbb{K}$, for instance $\mathbb{C}$ or $\mathbb{R}$.
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If I consider A and B as linear mappings from $\mathbb{K}^n$ to $\mathbb{K}^n$ I have:
$\mathrm{rank}(A)=\mathrm{dim}(\mathrm{Im}(A))=n-\mathrm{dim}(\mathrm{Ker}(A))$
$\mathrm{rank}(AB)=n-\mathrm{dim}(\mathrm{Ker}(AB))$
so, the inequality becomes:
$\mathrm{dim}(\mathrm{Ker}(A))+\mathrm{dim}(\mathrm{Ker}(B))\ge\mathrm{dim}(\mathrm{Ker}(AB))$
Is this correct? Now, how can I conclude?
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I thought that if $\mathbb{K}=\mathbb{C}$ then A and B are for sure triangularizable and then, maybe in some way developing the products I can show directly that the inequality holds??
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Thank you.