Why do I ask this question? Since I got into trouble with the problem below:
If $A,B$ are $n\times n$ matrices which satisfy $A^{2013}=0, AB=BA, B\neq 0$, then $$\mathrm{rank}(AB)\le \mathrm{rank}(B)-1.$$
I don't know how to solve it. Maybe it is not necessary to consider the equality case of the rank inequality to solve this problem, I still want to know more about rank inequalities and linear mappings.
In an algebraic inequality, we can (usually) find the equality case after solving it. But things are not the same with rank inequalities. For example:
If $f:V\rightarrow W$ is a linear mapping, and $a_1,a_2,\ldots,a_n$ are vectors in $V$. Then $$\mathrm{rank}(a_1,a_2\ldots,a_n)\ge \mathrm{rank}f(a_1),f(a_2),\ldots, f(a_n)).$$
Proof: Suppose $\mathrm{rank}(f(a_1),f(a_2),\ldots, f(a_n))=k$, and suppose $f(a_{i_1}),f(a_{i_2}),\ldots, f(a_{i_k})$ are linearly independent. Then $a_{i_1},a_{i_2},\ldots, a_{i_k}$ are also linearly independent. Thus $\mathrm{rank}(a_1,a_2,\ldots, a_n)\ge k$.
Or consider the Sylvester inequality:
If $A,B$ are $n\times n$ matrices, then $$\mathrm{rank}(A)+\mathrm{rank}(B)-n\le \mathrm{rank}(AB)\le \min (\mathrm{rank}(A),\mathrm{rank}(B)).$$
The left one is proved by using linear mappings, while the right one is by linear dependence.
As you can see, proving them is not so difficult, but the problem is when the equality occurs. Any help will be appreciated.
Thank you so much.