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Question: Consider an \(n \times n\) matrix A with the property that the row sums all equal the same number s. Show that s is an eigenvalue of A. (Hint: Find an eigenvector.)

Short Answer

Expert verified

It is proved that s is an eigenvalue of A.

Step by step solution

01

Assume the matrix A

Let the matrix A is:

\(A = \left( {\begin{array}{*{20}{c}}{{a_{11}}}&{{a_{12}}}& \cdots &{{a_{1n}}}\\{{a_{21}}}&{{a_{22}}}& \cdots &{{a_{2n}}}\\ \ldots & \cdots & \cdots & \cdots \\{{a_{n1}}}&{{a_{n2}}}& \cdots &{{a_{mn}}}\end{array}} \right)\)

For the elements of all the rows, the given property is:

\(\sum {{a_{1i}}} = \sum {{a_{2i}}} = .....\sum {{a_m}} = s\)

For \(i = 1,2,.....,n\)

02

Check whether s is the eigenvalue of A

Let the eigenvector be:

\(v = \left( {\begin{array}{*{20}{c}}1\\1\\ \vdots \\1\end{array}} \right)\)

Using the characteristic equation:

\(\begin{array}{c}A{\bf{v}} = \left( {\begin{array}{*{20}{c}}{{a_{11}}}&{{a_{12}}}& \cdots &{{a_{1n}}}\\{{a_{21}}}&{{a_{22}}}& \cdots &{{a_{2n}}}\\ \ldots & \cdots & \cdots & \cdots \\{{a_{n1}}}&{{a_{n2}}}& \cdots &{{a_{mn}}}\end{array}} \right)\left( {\begin{array}{*{20}{c}}1\\1\\ \vdots \\1\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{\sum {{a_{1i}}} }\\{\sum {{a_{2i}}} }\\ \vdots \\{\sum {{a_{ni}}} }\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}s\\s\\ \vdots \\s\end{array}} \right)\\ = s\left( {\begin{array}{*{20}{c}}1\\1\\ \vdots \\1\end{array}} \right)\\ = s{\bf{v}}\end{array}\)

Therefore, s is an eigenvalue of matrix A.

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Most popular questions from this chapter

Question 19: Let \(A\) be an \(n \times n\) matrix, and suppose A has \(n\) real eigenvalues, \({\lambda _1},...,{\lambda _n}\), repeated according to multiplicities, so that \(\det \left( {A - \lambda I} \right) = \left( {{\lambda _1} - \lambda } \right)\left( {{\lambda _2} - \lambda } \right) \ldots \left( {{\lambda _n} - \lambda } \right)\) . Explain why \(\det A\) is the product of the n eigenvalues of A. (This result is true for any square matrix when complex eigenvalues are considered.)

Question: Without calculation, find one eigenvalue and two linearly independent eigenvectors of \(A = \left( {\begin{array}{*{20}{c}}5&5&5\\5&5&5\\5&5&5\end{array}} \right)\). Justify your answer.

In Exercises 3-6, solve the initial value problem \(x'\left( t \right) = Ax\left( t \right)\) for \(t \ge 0\), with \(x\left( 0 \right) = \left( {3,2} \right)\). Classify the nature of the origin as an attractor, repeller, or saddle point of the dynamical system described by \(x' = Ax\). Find the directions of greatest attraction and/or repulsion. When the origin is a saddle point, sketch typical trajectories.

5. \(A = \left( {\begin{aligned}{ {20}{c}}7&{ - 1}\\3&3\end{aligned}} \right)\)

In Exercises 7–12, use Example 6 to list the eigenvalues of\(A\). In each case, the transformation\({\rm{x}} \mapsto A{\rm{x}}\)is the composition of a rotation and a scaling. Give the angle\(\varphi \)of the rotation, where\( - \pi < \varphi \le \pi \)and give the scale\(r\).

11.\(\left( {\begin{aligned}{}{\,\,\,.1}&{}&{.1}\\{ - .1}&{}&{.1}\end{aligned}} \right)\)


For the matrix A,find real closed formulas for the trajectory x→(t+1)=Ax¯(t)wherex→=[01]. Draw a rough sketchA=[-0.51.5-0.61.3]

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