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Let $M_{n \times n}$ be the set of all $n\times n$ symmetric matrices such that the characteristic polynomial of each $A\in M_{n\times n}$ is of the form

$$t^n+t^{n−2}+a_{n−3}t^{n−3}+⋯+a_1t+a_0.$$

Then the dimension of $M_{n\times n}$ over $\mathbb{R}$ is

a) $(n−1)n/2$

b) $(n−2)n/2$

c) $(n−1)(n+2)/2$

d) $(n−1)^2/2$

For general symmetric matrices the dimension will be $n(n+1)/2$. What will it be here?

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The question does not make a lot of sense, really. What is the conneection between the form of the characteristic polynomial and the dimension of the space of symmetric matrices? – Mariano Suárez-Alvarez Nov 17 '12 at 4:15
3  
Mariano, I think the point may be that the $t^{n-1}$ term is missing, so the trace is zero, etc. – Gerry Myerson Nov 17 '12 at 4:17
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I'm a little worried about the coefficient of $t^{n-2}$ being a nonzero constant --- I'm not sure I believe such a set of matrices can be closed under addition. – Gerry Myerson Nov 17 '12 at 4:21
2  
@GerryMyerson It won't even be closed under scalar multiplication. The coefficient of $t^{n-2}$ gets scaled by $c^2$. – EuYu Nov 17 '12 at 4:38
1  
Well, it looks like we're agreed: the question is busted. kaikai, really, check to see whether this is what you wanted to ask. – Gerry Myerson Nov 17 '12 at 4:40
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