0, 0, 0
0, 0, 1
0, 1, 1
1, 1, 1
Answer is Wrong!
Answer is Right!
The correct answer is $\boxed{\text{A}. 0, 0, 0}$.
An eigenvalue of a matrix $A$ is a number $\lambda$ such that there exists a nonzero vector $v$ such that $Av = \lambda v$. The vector $v$ is called an eigenvector of $A$ corresponding to the eigenvalue $\lambda$.
If $N^2 =
24.9-48.3 48.6-11.4 42.9-11.4 132.3-11.4 132.3s0 89.4 11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/> Subscribe on YouTube