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

6. \(\left( {\begin{array}{*{20}{c}}{.8}&{.5}\\{.2}&{.5}\end{array}} \right)\)

Short Answer

Expert verified

The steady-state vector is \({\mathop{\rm q}\nolimits} = \left( {\begin{array}{*{20}{c}}{.714}\\{.286}\end{array}} \right)\).

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:

\(\begin{array}{c}P - I = \left( {\begin{array}{*{20}{c}}{.8}&{.5}\\{.2}&{.5}\end{array}} \right) - \left( {\begin{array}{*{20}{c}}1&0\\0&1\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}{ - .2}&{.5}\\{.2}&{ - .5}\end{array}} \right)\end{array}\)

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:

\(\left( {\begin{array}{*{20}{c}}{ - .2}&{.5}&0\\{.2}&{ - .5}&0\end{array}} \right)\)

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

At row 1, multiply row 1 by \( - \frac{1}{{0.2}}\).

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

At row 2, multiply row 1 by 0.2 and subtract it from row 2.

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

03

Determine the steady-state vector

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

\(\begin{array}{c}{\mathop{\rm x}\nolimits} = \left( {\begin{array}{*{20}{c}}{{{\mathop{\rm x}\nolimits} _1}}\\{{{\mathop{\rm x}\nolimits} _2}}\end{array}} \right)\\ = {{\mathop{\rm x}\nolimits} _2}\left( {\begin{array}{*{20}{c}}{\frac{5}{2}}\\1\end{array}} \right)\end{array}\)

One solution is \(\left( {\begin{array}{*{20}{c}}5\\2\end{array}} \right)\). The sum of the entries of \(\left( {\begin{array}{*{20}{c}}5\\2\end{array}} \right)\) is 7.

Multiply \({\mathop{\rm x}\nolimits} \) by \(\frac{1}{7}\) as shown below:

\(\begin{array}{c}{\mathop{\rm q}\nolimits} = \left( {\begin{array}{*{20}{c}}{\frac{5}{7}}\\{\frac{2}{7}}\end{array}} \right)\\ \approx \left( {\begin{array}{*{20}{c}}{.714}\\{.286}\end{array}} \right)\end{array}\)

Thus, the steady-state vector is \({\mathop{\rm q}\nolimits} = \left( {\begin{array}{*{20}{c}}{.714}\\{.286}\end{array}} \right)\).

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Most popular questions from this chapter

Question: Exercises 12-17 develop properties of rank that are sometimes needed in applications. Assume the matrix \(A\) is \(m \times n\).

  1. Show that if \(B\) is \(n \times p\), then rank\(AB \le {\mathop{\rm rank}\nolimits} A\). (Hint: Explain why every vector in the column space of \(AB\) is in the column space of \(A\).
  2. Show that if \(B\) is \(n \times p\), then rank\(AB \le {\mathop{\rm rank}\nolimits} B\). (Hint: Use part (a) to study rank\({\left( {AB} \right)^T}\).)

Let S be a maximal linearly independent subset of a vector space V. In other words, S has the property that if a vector not in S is adjoined to S, the new set will no longer be linearly independent. Prove that S must be a basis of V. [Hint: What if S were linearly independent but not a basis of V?]

Question: Exercises 12-17 develop properties of rank that are sometimes needed in applications. Assume the matrix \(A\) is \(m \times n\).

16. If \(A\) is an \(m \times n\) matrix of rank\(r\), then a rank factorization of \(A\) is an equation of the form \(A = CR\), where \(C\) is an \(m \times r\) matrix of rank\(r\) and \(R\) is an \(r \times n\) matrix of rank \(r\). Such a factorization always exists (Exercise 38 in Section 4.6). Given any two \(m \times n\) matrices \(A\) and \(B\), use rank factorizations of \(A\) and \(B\) to prove that rank\(\left( {A + B} \right) \le {\mathop{\rm rank}\nolimits} A + {\mathop{\rm rank}\nolimits} B\).

(Hint: Write \(A + B\) as the product of two partitioned matrices.)

Is it possible that all solutions of a homogeneous system of ten linear equations in twelve variables are multiples of one fixed nonzero solution? Discuss.

(M) Show thatis a linearly independent set of functions defined on. Use the method of Exercise 37. (This result will be needed in Exercise 34 in Section 4.5.)

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