Let A be a 3×3 matrix over reals. Then its characteristic polynomial det is of the form x^3+a_2x^2+a_1x+a_0. It is well known that
-a_2=\mbox{trace}(A) \mbox{ and } -a_0=\det(A).
Note that these constants are expressed as functions of A without referring to eigenvalues of A.
Q. What is interpretation of a_1 in terms of A without considering its eigenvalues?
This could be trivial, but I have never seen it.
Answer
If your matrix is:
A=\begin{bmatrix} A_{11} & A_{12} & A_{13}\\A_{21} & A_{22} & A_{23}\\A_{31} & A_{32} & A_{33}\end{bmatrix}
Then your a_1 is:
a_1=\det\left(\begin{bmatrix} A_{22} & A_{23}\\A_{32} & A_{33}\end{bmatrix}\right)+\det\left(\begin{bmatrix} A_{11} & A_{13}\\A_{31} & A_{33}\end{bmatrix}\right)+\det\left(\begin{bmatrix} A_{11} & A_{12}\\A_{21} & A_{22}\end{bmatrix}\right)
And I think it's called a_1=\text{Tr}(\text{Adj}(A)).
Calculating it is similar to calculating the determinant: You are calculating the sub-determinant( I'm not sure about the name) for A_{11}, A_{22} and A_{33}, and you are summing them.
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