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In Exercies 7-12, assume the signals listed are solutions of the given difference equation. Determine if the signals form a basis for the solution space of the equation. Justify your answers using appropriate theorems.

\({\left( { - {\bf{1}}} \right)^k}\), \(k{\left( { - {\bf{1}}} \right)^k}\), \({{\bf{5}}^k}\), \({y_{k + {\bf{3}}}} - {\bf{3}}{y_{k + {\bf{2}}}} - {\bf{9}}{y_{k + {\bf{1}}}} - {\bf{5}}{y_k} = {\bf{0}}\)

Short Answer

Expert verified

The dimension of H is 3, so the three linearly independent signals form a basis of H.

Step by step solution

01

Write the Casorati matrix

The Casorati matrix of the solution is

\({A_k} = \left[ {\begin{array}{*{20}{c}}{{{\left( { - 1} \right)}^k}}&{k{{\left( { - 1} \right)}^k}}&{{5^k}}\\{{{\left( { - 1} \right)}^{k + 1}}}&{\left( {k + 1} \right){{\left( { - 1} \right)}^{k + 1}}}&{{5^{k + 1}}}\\{{{\left( { - 1} \right)}^{k + 2}}}&{\left( {k + 2} \right){{\left( { - 1} \right)}^{k + 2}}}&{{5^{k + 2}}}\end{array}} \right]\).

02

Check the Casorati matrix for \(k = {\bf{0}}\)

Substitute 0 for k in the Casorati matrix.

\(\begin{aligned} {A_0} &= \left[ {\begin{array}{*{20}{c}}{{{\left( { - 1} \right)}^0}}&{0{{\left( { - 1} \right)}^k}}&{{5^0}}\\{{{\left( { - 1} \right)}^{0 + 1}}}&{\left( {0 + 1} \right){{\left( { - 1} \right)}^{0 + 1}}}&{{5^{0 + 1}}}\\{{{\left( { - 1} \right)}^{0 + 2}}}&{\left( {0 + 2} \right){{\left( { - 1} \right)}^{0 + 2}}}&{{5^{0 + 2}}}\end{array}} \right]\\ &= \left[ {\begin{array}{*{20}{c}}1&0&1\\1&{ - 1}&1\\1&2&{25}\end{array}} \right]\\ &\sim \left[ {\begin{array}{*{20}{c}}1&0&0\\0&1&0\\0&0&1\end{array}} \right]\end{aligned}\)

The Casorati matrix is row equivalent to the identity matrix. Therefore, it is invertible.

Hence, the set of signals \(\left\{ {{{\left( { - 1} \right)}^k},\,k{{\left( { - 1} \right)}^k},\;{5^k}} \right\}\) islinearly independent. The dimension of H is 3, so the three linearly independent signals form a basis of H.

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Most popular questions from this chapter

Question: Determine if the matrix pairs in Exercises 19-22 are controllable.

22. (M) \(A = \left( {\begin{array}{*{20}{c}}0&1&0&0\\0&0&1&0\\0&0&0&1\\{ - 1}&{ - 13}&{ - 12.2}&{ - 1.5}\end{array}} \right),B = \left( {\begin{array}{*{20}{c}}1\\0\\0\\{ - 1}\end{array}} \right)\).

[M] Let \(A = \left[ {\begin{array}{*{20}{c}}7&{ - 9}&{ - 4}&5&3&{ - 3}&{ - 7}\\{ - 4}&6&7&{ - 2}&{ - 6}&{ - 5}&5\\5&{ - 7}&{ - 6}&5&{ - 6}&2&8\\{ - 3}&5&8&{ - 1}&{ - 7}&{ - 4}&8\\6&{ - 8}&{ - 5}&4&4&9&3\end{array}} \right]\).

  1. Construct matrices \(C\) and \(N\) whose columns are bases for \({\mathop{\rm Col}\nolimits} A\) and \({\mathop{\rm Nul}\nolimits} A\), respectively, and construct a matrix \(R\) whose rows form a basis for Row\(A\).
  2. Construct a matrix \(M\) whose columns form a basis for \({\mathop{\rm Nul}\nolimits} {A^T}\), form the matrices \(S = \left[ {\begin{array}{*{20}{c}}{{R^T}}&N\end{array}} \right]\) and \(T = \left[ {\begin{array}{*{20}{c}}C&M\end{array}} \right]\), and explain why \(S\) and \(T\) should be square. Verify that both \(S\) and \(T\) are invertible.

Suppose \({{\bf{p}}_{\bf{1}}}\), \({{\bf{p}}_{\bf{2}}}\), \({{\bf{p}}_{\bf{3}}}\), and \({{\bf{p}}_{\bf{4}}}\) are specific polynomials that span a two-dimensional subspace H of \({P_{\bf{5}}}\). Describe how one can find a basis for H by examining the four polynomials and making almost no computations.

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\({\left( {AB} \right)^T}\).)

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.)

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