Eigenvalues and Eigenvectors

Rarely Tested

For square matrix $$A$$, if $$AX = \lambda X$$ for non-zero $$X$$, then $$\lambda$$ is eigenvalue, $$X$$ is eigenvector.

Characteristic equation: $$\det(A - \lambda I) = 0$$.

Question 1

The set of all values of $$\lambda$$ for which the system of linear equations $$x - 2y - 2z = \lambda x$$, $$x + 2y + z = \lambda y$$, $$-x - y = \lambda z$$ has a non-trivial solution:

Question 2

Let $$P$$ be a $$3 \times 3$$ matrix such that $$P^T = 2P + I$$. If $$PX = \lambda X$$ for a non-zero column matrix $$X$$, find the value of $$\lambda$$.

Question 3

Let $$A$$ be a $$3\times3$$ matrix with real entries satisfying $$A^3-3A^2+4I=O$$. It is also given that  $$\det(A)=-4$$

Which of the following statements is/are incorrect?

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