37 37 votes What are the eigenvalues of the following $2\times 2$ matrix? $$\left( \begin{array}{cc} 2 & -1\\ -4 & 5\end{array}\right)$$ $-1$ and $1$ $1$ and $6$ $2$ and $5$ $4$ and $-1$ Linear Algebra gatecse-2005 linear-algebra eigen-value easy + – gatecse 12.3k views answer comment Share Follow Print See all 5 Comments 5 5 Comments reply Show 2 previous comments Thadymademe commented Oct 8, 2022 i edited by Thadymademe Jan 9, 2024 reply Follow flag @preeti0448 then the eigen values will change because eigen value changes for elementary row or column transformations. 0 0 replyShare Aman Dabral commented Mar 17, 2024 reply Follow flag when we are doing elementary row operation then we are getting diagonal elements as 2,3..which will be eigen value...but it is not in options..now when we do it by characterstics equation we get eigen value as 1,6.which is given in option...my doubt is if we have both of them in options then which one will be true?? @Sachin Mittal 1 2 2 replyShare Tushar Rana commented Dec 18, 2024 reply Follow flag @Aman Dabral The question will be incorrect then, as we can't perform elementary row operations for finding eigenvalues. 2 2 replyShare Please log in or register to add a comment.
Best answer 65 65 votes Let the eigen values be $a,b$ Sum of Eigen Values = Trace(Diagonal Sum) $\implies a+b = 2+5 = 7$ Product of Eigen Values = Det(A) $\implies a\times b = 6$ Solving these we get eigenvalues as 1 and 6. Option(B) is Correct. Himanshu1 answered Nov 6, 2015 • edited Jun 1, 2018 by Arjun Himanshu1 comment Share Follow See all 10 Comments 10 10 Comments reply Show 7 previous comments Lakshman Bhaiya commented Jan 28, 2019 reply Follow flag Important properties of Eigen values:- $(1)$Sum of all eigen values$=$Sum of leading diagonal(principle diagonal) elements=Trace of the matrix. $(2)$ Product of all Eigen values$=Det(A)=|A|$ $(3)$ Any square diagonal(lower triangular or upper triangular) matrix eigen values are leading diagonal (principle diagonal)elements itself. Example$:$$A=\begin{bmatrix} 1& 0& 0\\ 0&1 &0 \\ 0& 0& 1\end{bmatrix}$ Diagonal matrix Eigenvalues are $1,1,1$ $B=\begin{bmatrix} 1& 9& 6\\ 0&1 &12 \\ 0& 0& 1\end{bmatrix}$ Upper triangular matrix Eigenvalues are $1,1,1$ $C=\begin{bmatrix} 1& 0& 0\\ 8&1 &0 \\ 2& 3& 1\end{bmatrix}$ Lower triangular matrix Eigenvalues are $1,1,1$ 17 17 replyShare ritiksri8 commented Sep 19, 2024 reply Follow flag Best property of eigen values 0 0 replyShare SomeEarth commented Jun 22, 2025 reply Follow flag @Lakshman Bhaiya In GoPDF Vol1 -> This Question (6.3.3 on pg 119) has misprint in matrix value of a12 [instead of showing it -1 , it is given as +1) cc: Arjun sir (unable to tag him since typing @ arjun sir never give his name as option, even after adding "+" Suresh as well) , @gatecse 0 0 replyShare Please log in or register to add a comment.
14 14 votes Let $\lambda$ be the eigen value. then, $\begin{vmatrix} 2- \lambda &-1 \\ -4 & 5- \lambda \end{vmatrix}=0$ $\implies \lambda^2 -7 \lambda +10 -4 = 0$ $\implies \lambda^2 -7 \lambda +6 = 0$ $\implies \lambda^2 -6 \lambda -\lambda+6 = 0$ $\implies (\lambda -6)( \lambda -1) = 0$ $\implies \lambda = 6$ or $\lambda = 1$ $\therefore$ Option $B$ is the correct answer. Satbir answered Oct 23, 2019 • edited Aug 8, 2024 by Sujith K Satbir comment Share Follow See 1 comment 1 1 comment reply Riya_23 commented Dec 20, 2022 reply Follow flag no, option B (1,6) is correct. Please edit. It may confuse readers. 0 0 replyShare Please log in or register to add a comment.
5 5 votes (2-x)(5-x)-4=0 x=1,6 Bhagirathi answered Sep 21, 2014 Bhagirathi comment Share Follow 0 reply Please log in or register to add a comment.
0 0 votes Sum of eigenvalues = trace = 2+5=7Product of eigenvalues = determinant = 2⋅5 − (−1)(−4) = 10 − 4 = 6Only pair satisfying sum = 7 and product = 6 is:(1,6) vidhiparimal01 answered Jan 19 vidhiparimal01 comment Share Follow 0 reply Please log in or register to add a comment.
0 0 votes Correct answer is - B , look at these 2 Method Prashant-G answered Mar 28 Prashant-G comment Share Follow 0 reply Please log in or register to add a comment.