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IMC / 2017 / Problems / Day 1, P1

IMC 2017 · Day 1 · P1

easy

Determine all complex numbers λ\lambda for which there exist a positive integer nn and a real n×nn \times n matrix AA such that A2=ATA^2 = A^T and λ\lambda is an eigenvalue of AA.

(Proposed by Alexandr Bolbot, Novosibirsk State University)

Solution (official)

By taking squares, A4=(A2)2=(AT)2=(A2)T=(AT)T=A,A^4 = (A^2)^2 = (A^T)^2 = (A^2)^T = (A^T)^T = A, so A4A=0;A^4 - A = 0; it follows that all eigenvalues of AA are roots of the polynomial X4XX^4 - X.

The roots of X4X=X(X31)X^4 - X = X (X^3 - 1) are 00, 11 and 1±3i2\frac{-1 \pm \sqrt{3} i}{2}. In order to verify that these values are possible, consider the matrices A0=(0),A1=(1),A2=(12323212),A4=(00000100001232003212).A_0 = \bigl( 0 \bigr), \quad A_1 = \bigl( 1 \bigr), \quad A_2 = \begin{pmatrix} -\frac12 & \frac{\sqrt3}{2} \\ -\frac{\sqrt3}{2} & -\frac12 \end{pmatrix}, \quad A_4 = \begin{pmatrix} 0 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & -\frac12 & \frac{\sqrt3}{2} \\ 0 & 0 & -\frac{\sqrt3}{2} & -\frac12 \end{pmatrix}. The numbers 00 and 11 are the eigenvalues of the 1×11 \times 1 matrices A0A_0 and A1A_1, respectively. The numbers 1±3i2\frac{-1 \pm \sqrt{3} i}{2} are the eigenvalues of A2A_2; it is easy to check that A22=(12323212)=A2T.A_2^2 = \begin{pmatrix} -\frac12 & -\frac{\sqrt3}{2} \\ \frac{\sqrt3}{2} & -\frac12 \end{pmatrix} = A_2^T. The matrix A4A_4 establishes all the four possible eigenvalues in a single matrix.

Remark. The matrix A2A_2 represents a rotation by 2π/32\pi/3.

How the field did

contestants scored
315
average (of 10)
6.92
solved (≥ 80%)
58.7%
near-0 (≤ 10%)
9.5%
discrimination
0.35

Score distribution (field cohort)

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

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