ResrupRL
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#2 counterexample
Let
<br /> A=\left[\begin{array}{cc}<br /> i & 1 \\<br /> 1 & -i<br /> \end{array} \right] <br />
where #i# is the imaginary value. Note that A^T=A and has the characteristic equation\lambda^2=0,
thus the eigenvalue of A is \lambda=0 with algebraic multiplicity of 2. The eigenvector of A is
<br /> \mathbf{x}=\left[\begin{array}{c}<br /> i \\<br /> 1<br /> \end{array}<br /> \right]<br />
with the geometric multiplicity of 1 therefore A is not diagonalizable.
Let
<br /> A=\left[\begin{array}{cc}<br /> i & 1 \\<br /> 1 & -i<br /> \end{array} \right] <br />
where #i# is the imaginary value. Note that A^T=A and has the characteristic equation\lambda^2=0,
thus the eigenvalue of A is \lambda=0 with algebraic multiplicity of 2. The eigenvector of A is
<br /> \mathbf{x}=\left[\begin{array}{c}<br /> i \\<br /> 1<br /> \end{array}<br /> \right]<br />
with the geometric multiplicity of 1 therefore A is not diagonalizable.