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Question: In Exercises5-8, find the steady-state vector.

5. \(\left( {\begin{array}{*{20}{c}}{.1}&{.6}\\{.9}&{.4}\end{array}} \right)\)

Short Answer

Expert verified

The steady-state vector is \({\mathop{\rm q}\nolimits} = \left( {\begin{array}{*{20}{c}}{.4}\\{.6}\end{array}} \right)\).

Step by step solution

01

Compute \(P - I\)

The equation \(P{\mathop{\rm x}\nolimits} = {\mathop{\rm x}\nolimits} \) can be solved by rewriting it as \(\left( {P - I} \right){\mathop{\rm x}\nolimits} = 0\).

Compute \(P - I\) as shown below:

\(\begin{array}{c}P - I = \left( {\begin{array}{*{20}{c}}{.1}&{.6}\\{.9}&{.4}\end{array}} \right) - \left( {\begin{array}{*{20}{c}}1&0\\0&1\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - .9}&{.6}\\{.9}&{ - .6}\end{array}} \right)\end{array}\)

02

Write the augmented matrix

Write the augmented matrix for the homogeneous system \(\left( {P - I} \right){\mathop{\rm x}\nolimits} = 0\)as shown below:

\(\left( {\begin{array}{*{20}{c}}{ - .9}&{.6}&0\\{.9}&{ - .6}&0\end{array}} \right)\)

Perform an elementary row operation to produce the row-reduced echelon form of the matrix

At row 1, multiply row 1 by \( - \frac{1}{{0.9}}\).

\( \sim \left( {\begin{array}{*{20}{c}}1&{ - \frac{2}{3}}&0\\{.9}&{ - .6}&0\end{array}} \right)\)

At row 2, multiply row 1 by 0.9 and subtract it from row 2.

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

03

Determine the steady-state vector

The general solution of the equation \(\left( {P - I} \right){\mathop{\rm x}\nolimits} = 0\)is shown below:

\(\begin{array}{c}{\mathop{\rm x}\nolimits} = \left( {\begin{array}{*{20}{c}}{{{\mathop{\rm x}\nolimits} _1}}\\{{{\mathop{\rm x}\nolimits} _2}}\end{array}} \right)\\ = {{\mathop{\rm x}\nolimits} _2}\left( {\begin{array}{*{20}{c}}{\frac{2}{3}}\\1\end{array}} \right)\end{array}\)

One solution is \(\left( {\begin{array}{*{20}{c}}2\\3\end{array}} \right)\). The sum of the entries in \(\left( {\begin{array}{*{20}{c}}2\\3\end{array}} \right)\) is 5.

Multiply \({\mathop{\rm x}\nolimits} \) by \(\frac{1}{5}\) to obtain the steady-state vector as shown below:

\(\begin{array}{c}{\mathop{\rm q}\nolimits} = \left( {\begin{array}{*{20}{c}}{\frac{2}{5}}\\{\frac{3}{5}}\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{.4}\\{.6}\end{array}} \right]\end{array}\)

Thus, the steady-state vector is \({\mathop{\rm q}\nolimits} = \left( {\begin{array}{*{20}{c}}{.4}\\{.6}\end{array}} \right)\).

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Most popular questions from this chapter

Let \(A\) be an \(m \times n\) matrix of rank \(r > 0\) and let \(U\) be an echelon form of \(A\). Explain why there exists an invertible matrix \(E\) such that \(A = EU\), and use this factorization to write \(A\) as the sum of \(r\) rank 1 matrices. [Hint: See Theorem 10 in Section 2.4.]

Consider the polynomials \({{\bf{p}}_{\bf{1}}}\left( t \right) = {\bf{1}} + t\), \({{\bf{p}}_{\bf{2}}}\left( t \right) = {\bf{1}} - t\), \({{\bf{p}}_{\bf{3}}}\left( t \right) = {\bf{4}}\), \({{\bf{p}}_{\bf{4}}}\left( t \right) = {\bf{1}} + {t^{\bf{2}}}\), and \({{\bf{p}}_{\bf{5}}}\left( t \right) = {\bf{1}} + {\bf{2}}t + {t^{\bf{2}}}\), and let H be the subspace of \({P_{\bf{5}}}\) spanned by the set \(S = \left\{ {{{\bf{p}}_{\bf{1}}},\,{{\bf{p}}_{\bf{2}}},\;{{\bf{p}}_{\bf{3}}},\,{{\bf{p}}_{\bf{4}}},\,{{\bf{p}}_{\bf{5}}}} \right\}\). Use the method described in the proof of the Spanning Set Theorem (Section 4.3) to produce a basis for H. (Explain how to select appropriate members of S.)

If A is a \({\bf{7}} \times {\bf{5}}\) matrix, what is the largest possible rank of A? If Ais a \({\bf{5}} \times {\bf{7}}\) matrix, what is the largest possible rank of A? Explain your answer.

Suppose a nonhomogeneous system of nine linear equations in ten unknowns has a solution for all possible constants on the right sides of the equations. Is it possible to find two nonzero solutions of the associated homogeneous system that are not multiples of each other? Discuss.

(M) Let \(H = {\mathop{\rm Span}\nolimits} \left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2}} \right\}\) and \(K = {\mathop{\rm Span}\nolimits} \left\{ {{{\mathop{\rm v}\nolimits} _3},{{\mathop{\rm v}\nolimits} _4}} \right\}\), where

\({{\mathop{\rm v}\nolimits} _1} = \left( {\begin{array}{*{20}{c}}5\\3\\8\end{array}} \right),{{\mathop{\rm v}\nolimits} _2} = \left( {\begin{array}{*{20}{c}}1\\3\\4\end{array}} \right),{{\mathop{\rm v}\nolimits} _3} = \left( {\begin{array}{*{20}{c}}2\\{ - 1}\\5\end{array}} \right),{{\mathop{\rm v}\nolimits} _4} = \left( {\begin{array}{*{20}{c}}0\\{ - 12}\\{ - 28}\end{array}} \right)\)

Then \(H\) and \(K\) are subspaces of \({\mathbb{R}^3}\). In fact, \(H\) and \(K\) are planes in \({\mathbb{R}^3}\) through the origin, and they intersect in a line through 0. Find a nonzero vector w that generates that line. (Hint: w can be written as \({c_1}{{\mathop{\rm v}\nolimits} _1} + {c_2}{{\mathop{\rm v}\nolimits} _2}\) and also as \({c_3}{{\mathop{\rm v}\nolimits} _3} + {c_4}{{\mathop{\rm v}\nolimits} _4}\). To build w, solve the equation \({c_1}{{\mathop{\rm v}\nolimits} _1} + {c_2}{{\mathop{\rm v}\nolimits} _2} = {c_3}{{\mathop{\rm v}\nolimits} _3} + {c_4}{{\mathop{\rm v}\nolimits} _4}\) for the unknown \({c_j}'{\mathop{\rm s}\nolimits} \).)

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