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IMC / 2007 / Problems / Day 2, P10

IMC 2007 · Day 2 · P10

hard

Let n>1n > 1 be an odd positive integer and A=(aij)i,j=1nA = (a_{ij})_{i,j = 1 \dots n} be the n×nn \times n matrix with aij={2if i=j1if ij±2(modn)0otherwise.a_{ij} = \begin{cases} 2 & \text{if } i = j \\ 1 & \text{if } i - j \equiv \pm 2 \pmod n \\ 0 & \text{otherwise.} \end{cases} Find detA\det A.

Solution (official)

Notice that A=B2A = B^2, with bij={1if ij±1(modn)0otherwiseb_{ij} = \begin{cases} 1 & \text{if } i - j \equiv \pm 1 \pmod n \\ 0 & \text{otherwise} \end{cases}. So it is sufficient to find detB\det B.

To find detB\det B, expand the determinant with respect to the first row, and then expad both terms with respect to the first column.

detB=011101101110=1101110+10111110\det B = \begin{vmatrix} 0 & 1 & & & 1 \\ 1 & 0 & 1 & & \\ & 1 & 0 & \ddots & \\ & & \ddots & \ddots & 1 \\ 1 & & & 1 & 0 \end{vmatrix} = - \begin{vmatrix} 1 & 1 & & \\ & 0 & \ddots & \\ & \ddots & \ddots & 1 \\ 1 & & 1 & 0 \end{vmatrix} + \begin{vmatrix} 1 & 0 & 1 & \\ & 1 & \ddots & \\ & & \ddots & 1 \\ 1 & & 1 & 0 \end{vmatrix} =(01110111101)+(1011011010110110)=(01)+(10)=2,= - \left( \begin{vmatrix} 0 & 1 & & \\ & \ddots & \ddots & \\ & & \ddots & 1 \\ 1 & 0 & 1 & \end{vmatrix} - 1 \cdot \begin{vmatrix} 1 & & & \\ & \ddots & & \\ & & \ddots & \\ 1 & 0 & 1 & \ddots \end{vmatrix} \right) + \left( \begin{vmatrix} 1 & 0 & 1 & \\ & \ddots & \ddots & \\ 1 & 0 & \ddots & 1 \\ & 1 & & 0 \end{vmatrix} - 1 \cdot \begin{vmatrix} 0 & 1 & & \\ 1 & 0 & \ddots & \\ & \ddots & \ddots & 1 \\ & & 1 & 0 \end{vmatrix} \right) = -(0 - 1) + (1 - 0) = 2, since the second and the third matrices are lower/upper triangular, while in the first and the fourth matrices we have row1row3+row5±rown2=0ˉ\mathrm{row}_1 - \mathrm{row}_3 + \mathrm{row}_5 - \cdots \pm \mathrm{row}_{n-2} = \bar{0}.

So detB=2\det B = 2 and thus detA=4\det A = 4.

How the field did

contestants scored
242
average (of 20)
4.40
solved (≥ 80%)
16.5%
near-0 (≤ 10%)
72.3%
discrimination
0.47

Score distribution (field cohort)

Computed on contestants with a meaningful total (field cohort); discrimination is the corrected item–total correlation.

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