Machine-translated by Google. Questions are authored in English.
Top

Discussion

Let \(A\) be a \(2 \times 2\) real symmetric matrix such that the trace of \(A\) is \(6\) and the determinant of \(A\) is \(5\). Which one of the following statements is true?

  • A.\(A - I_{2}\) is positive definite
  • B.\(A - 3I_{2}\) is negative definite
  • C.\(A^{2} + A - 3I_{2}\) is positive definite
  • D.\(A^{2} - 6A\) is negative definite

Answer: D

The true statement is \(A^{2} - 6A\) is negative definite.

A real symmetric matrix is described by its eigenvalues. Here \(\lambda_{1} + \lambda_{2} = 6\) and \(\lambda_{1}\lambda_{2} = 5\), so the eigenvalues are the roots of \(\lambda^{2} - 6\lambda + 5 = 0\), namely \(1\) and \(5\). A polynomial \(p(A)\) has eigenvalues \(p(1)\) and \(p(5)\):

  • \(A - I_{2}\): \(0\) and \(4\). Positive semi-definite only, because of the zero eigenvalue.
  • \(A - 3I_{2}\): \(-2\) and \(2\). Indefinite.
  • \(A^{2} + A - 3I_{2}\): \(-1\) and \(27\). Indefinite.
  • \(A^{2} - 6A\): \(1 - 6 = -5\) and \(25 - 30 = -5\). Both negative, so negative definite.

In fact \(A^{2} - 6A + 5I_{2} = 0\) by the Cayley-Hamilton theorem, so \(A^{2} - 6A = -5I_{2}\).

No comment is present. Be the first to comment.
Loading…

Post your comment

Please log in or register to post a comment.