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Question: For \(A = \left( {\begin{array}{*{20}{c}}1&2&3\\1&2&3\\1&2&3\end{array}} \right)\), find the eigenvalues, with no calculation. Justify your answer.

Short Answer

Expert verified

Eigenvalues of the given matrix is 0, as the determinant of the matrix is 0, so it is non-invertible, which imply \(A{\bf{x}} = 0\) has a nontrivial solution.

Step by step solution

01

Definition

Eigenvalue: Let \(\lambda \) is a scaler, \(A\) is an \(n \times n\) matrix and \({\bf{x}}\) is an eigenvector corresponding to \(\lambda \), \(\lambda \) is said to an eigenvalue of the matrix \(A\) if there exists a nontrivial solution \({\bf{x}}\) of \(A{\bf{x}} = \lambda {\bf{x}}\).

02

Find Eigenvalues 

The given matrix is \(A = \left( {\begin{array}{*{20}{c}}1&2&3\\1&2&3\\1&2&3\end{array}} \right)\).

As per the definition of eigenvalues, if \(A{\bf{x}} = \lambda {\bf{x}}\) has a nontrivial solution, then \(\lambda \) is the eigenvalue, and the matrix \(A\) is non-invertible if and only if \(A{\bf{x}} = 0\) has nontrivial solution and 0 is the eigenvalue.

Here, the matrix is invertible if its determinant is not 0. So, check, the matrix is invertible or not by checking its determinant.

The determinant of the determinant is 0, as all the rows of the matrix are identical. Which imply the matrix is non-invertible. Hence, the eigenvalue will be 0.

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Most popular questions from this chapter

Use Exercise 12 to find the eigenvalues of the matrices in Exercises 13 and 14.

13. \(A = \left( {\begin{array}{*{20}{c}}3&{ - 2}&8\\0&5&{ - 2}\\0&{ - 4}&3\end{array}} \right)\)

Consider the growth of a lilac bush. The state of this lilac bush for several years (at year’s end) is shown in the accompanying sketch. Let n(t) be the number of new branches (grown in the year t) and a(t) the number of old branches. In the sketch, the new branches are represented by shorter lines. Each old branch will grow two new branches in the following year. We assume that no branches ever die.

(a) Find the matrix A such that [nt+1at+1]=A[ntat]

(b) Verify that [11]and [2-1] are eigenvectors of A. Find the associated eigenvalues.

(c) Find closed formulas for n(t) and a(t).

Question: Find the characteristic polynomial and the eigenvalues of the matrices in Exercises 1-8.

8. \(\left[ {\begin{array}{*{20}{c}}7&- 2\\2&3\end{array}} \right]\)

Question 20: Use a property of determinants to show that \(A\) and \({A^T}\) have the same characteristic polynomial.

Question: In Exercises \({\bf{5}}\) and \({\bf{6}}\), the matrix \(A\) is factored in the form \(PD{P^{ - {\bf{1}}}}\). Use the Diagonalization Theorem to find the eigenvalues of \(A\) and a basis for each eigenspace.

5. \(\left( {\begin{array}{*{20}{c}}2&2&1\\1&3&1\\1&2&2\end{array}} \right) = \left( {\begin{array}{*{20}{c}}1&1&2\\1&0&{ - 1}\\1&{ - 1}&0\end{array}} \right)\left( {\begin{array}{*{20}{c}}5&0&0\\0&1&0\\0&0&1\end{array}} \right)\left( {\begin{array}{*{20}{c}}{\frac{1}{4}}&{\frac{1}{2}}&{\frac{1}{4}}\\{\frac{1}{4}}&{\frac{1}{2}}&{ - \frac{3}{4}}\\{\frac{1}{4}}&{ - \frac{1}{2}}&{\frac{1}{4}}\end{array}} \right)\)

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