I was messing around with some matrices and found the following result.
Let An be the (2n)×(2n) matrix consisting of elements aij={1if (i,j)≤(n,n) and i≠j1if (i,j)>(n,n) and i≠j0otherwise.
Then, the determinant of An is given by det(An)=(n−1)2.
Example: A2=(0100100000010010),A3=(011000101000110000000011000101000110), with det(A2) and det(A3) being 1 and 4 respectively. I was wondering if anybody could prove this statement for me.
Answer
Your matrix An has the block diagonal structure
An=(Bn00Bn)
where Bn∈Mn(F) is the matrix which has diagonal entries zero and all other entries 1. Hence, det so it is enough to calculate \det(B_n). To do that, let C_n be the matrix in which all the entries are 1 (so B_n = C_n - I_n).
The matrix C_n is a rank-one matrix so we can find it's eigenvalues easily. Let us assume for simplicity that n \neq 0 in \mathbb{F}. Then C_n has an n - 1 dimensional kernel and (1,\dots,1)^T is an eigenvalue of C_n associated to the eigenvalue n. From here we see that the characteristic polynomial of C_n must be \det(\lambda I - C_n) = \lambda^{n-1}(\lambda - n) and hence
\det(B_n) = \det(C_n - I_n) = (-1)^n \det(I_n - C_n) = (-1)^{n} 1^{n-1}(1 - n) = (-1)^n(1 - n) = (-1)^{n-1}(n-1).
In fact this formula works even if n = 0 in \mathbb{F} because in this case, A^2 = 0 so A is nilpotent and \det(C_n - \lambda I) = \lambda^n.
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