1 1 vote which on of the following is an eigenvector of the matrix [5 0 0 0 0 5 5 0 0 0 2 1 0 0 3 1] a) [1 -2 0 0 ]t b) [0 0 1 0]t c) [1 0 0 -2]t d) [1 -1 2 1]t Linear Algebra matrix-eigenvector + – Ashwashil Lanjewar 4.5k views answer comment Share Follow Print See all 5 Comments 5 5 Comments reply Show 2 previous comments MiNiPanda commented Aug 17, 2018 reply Follow flag We know that AX=⋋X where A is the matrix given, X is the eigen vector and ⋋ is the eigen value. Our A is a upper triangular matrix and the diagonal elements are the eigen values i.e. 5,5,2,3. In such questions try matching with the options because it takes lesser time. Starting with Option A, AX=⋋X and we put X=(1 -2 0 0)T as it is the eigen vector. $\begin{bmatrix} 5 & 0& 0& 0\\ 0 & 5& 5& 0\\ 0 & 0& 2& 1\\ 0 & 0& 3& 1 \end{bmatrix} \begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix} = \begin{bmatrix} 5\\ -10\\ 0\\ 0 \end{bmatrix} => \begin{bmatrix} 5 & 0& 0& 0\\ 0 & 5& 5& 0\\ 0 & 0& 2& 1\\ 0 & 0& 3& 1 \end{bmatrix} \begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix} = 5\begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix}$ This is of the form AX=⋋X where ⋋=5 (one of the eigen values). If you put any other options and calculate you won't be able to take out anything common. For eg: Take option D where X=(1 -1 2 1)T $\begin{bmatrix} 5 & 0& 0& 0\\ 0 & 5& 5& 0\\ 0 & 0& 2& 1\\ 0 & 0& 3& 1 \end{bmatrix} \begin{bmatrix} 1\\ -1\\ 2\\ 1 \end{bmatrix} = \begin{bmatrix} 5\\ 5\\ 5\\ 7 \end{bmatrix}$ From RHS you cannot take anything common such that it gets in the form of ⋋(1 -1 2 1)T 0 0 replyShare Ashwashil Lanjewar commented Aug 19, 2018 reply Follow flag i think so if this is a triangular matrix than 5,5,2,1 should be the eigen values. 0 0 replyShare Devesh_Anand commented Feb 5, 2025 reply Follow flag Are you High!!!, how is this a triangular matrix, don't u see a 3 there.... 0 0 replyShare Please log in or register to add a comment.
1 1 vote $(A-\lambda I)X=0$ $\text{take first option}$ $\begin{bmatrix} 5-\lambda &0 &0 &0 \\ 0&5-\lambda & 5 &0 \\ 0&0 &2-\lambda &1 \\ 0& 0&3 &1-\lambda \end{bmatrix}\begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix}$ =$\begin{bmatrix} 0\\ 0\\ 0\\ 0 \end{bmatrix}$ consider the first row -- $5-\lambda+0=0$ $\equiv$ $\lambda=5$ it is eigen value for this eigen vector [1 -2 0 0]^t $Ax=\lambda x$ $\begin{bmatrix} 5 &0 &0 &0 \\ 0&5 & 5 &0 \\ 0&0 &2&1 \\ 0& 0&3 &1\end{bmatrix}\begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix}$=$\begin{bmatrix} 5\\ -10\\ 0\\ 0 \end{bmatrix}$ $\begin{bmatrix} 5 &0 &0 &0 \\ 0&5 & 5 &0 \\ 0&0 &2&1 \\ 0& 0&3 &1\end{bmatrix}\begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix}$=$5$$\begin{bmatrix} 1\\ -2\\ 0\\ 0 \end{bmatrix}$ we can see $\lambda =5$ so first is correct option. Prince Sindhiya answered Aug 17, 2018 Prince Sindhiya comment Share Follow 0 reply Please log in or register to add a comment.