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Show that the signals in Exercises 3-6 form a basis for the solution set of the accompanying difference equation.

\({{\bf{3}}^k}\), \(k{\left( { - {\bf{3}}} \right)^k}\) \({y_{k + {\bf{2}}}} + {\bf{6}}{y_{k + {\bf{1}}}} + {\bf{9}}{y_k} = {\bf{0}}\)

Short Answer

Expert verified

\({3^k}\) and \(k{\left( { - 3} \right)^k}\) form a basis of the solution set for the difference equation.

Step by step solution

01

Check for \({\left( { - {\bf{3}}} \right)^k}\)

Substitute \({y_k} = {\left( { - 3} \right)^k}\) in thedifference equation \({y_{k + 2}} + 6{y_{k + 1}} + 9{y_k} = 0\).

\(\begin{aligned} {y_{k + 2}} + 6{y_{k + 1}} + 9{y_k} &= {\left( { - 3} \right)^{k + 2}} + 6{\left( { - 3} \right)^{k + 1}} + 9{\left( { - 3} \right)^k}\\ &= {\left( { - 3} \right)^k}\left[ {{{\left( { - 3} \right)}^2} + 6\left( { - 3} \right) + 9} \right]\\ &= {\left( 3 \right)^k}\left[ {9 - 18 + 9} \right]\\ &= 0\end{aligned}\)

02

Check for \(k{\left( { - {\bf{3}}} \right)^k}\)

Substitute\({y_k} = k{\left( { - 3} \right)^k}\)in the difference equation\({y_{k + 2}} + 6{y_{k + 1}} + 9{y_k} = 0\).

\(\begin{aligned} {y_{k + 2}} + 6{y_{k + 1}} + 9{y_k} &= \left( {k + 2} \right){\left( { - 3} \right)^{k + 2}} + 6\left( {k + 1} \right){\left( { - 3} \right)^{k + 1}} + 9k{\left( { - 3} \right)^k}\\ &= {\left( { - 3} \right)^k}\left[ {\left( {k + 2} \right){{\left( { - 3} \right)}^2} + 6\left( {k + 1} \right)\left( { - 3} \right) + 9k} \right]\\ &= {\left( 3 \right)^k}\left[ {9k + 18 - 18k - 18 + 9k} \right]\\ &= 0\end{aligned}\)

Thus, for all\(k\),\({\left( { - 3} \right)^k}\)is in the solution set H.

03

Check whether the solution is the basis of the difference equation

For all k, in n-dimensional vector space, the dimension of H is 2. So, \({3^k}\) and \(k{\left( { - 3} \right)^k}\) forms a basis of the solution set for the difference equation.

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Most popular questions from this chapter

(M) Determine whether w is in the column space of \(A\), the null space of \(A\), or both, where

\({\mathop{\rm w}\nolimits} = \left( {\begin{array}{*{20}{c}}1\\2\\1\\0\end{array}} \right),A = \left( {\begin{array}{*{20}{c}}{ - 8}&5&{ - 2}&0\\{ - 5}&2&1&{ - 2}\\{10}&{ - 8}&6&{ - 3}\\3&{ - 2}&1&0\end{array}} \right)\)

Suppose a \({\bf{5}} \times {\bf{6}}\) matrix A has four pivot columns. What is dim Nul A? Is \({\bf{Col}}\,A = {\mathbb{R}^{\bf{3}}}\)? Why or why not?

Use coordinate vector to test whether the following sets of poynomial span \({{\bf{P}}_{\bf{2}}}\). Justify your conclusions.

a. \({\bf{1}} - {\bf{3}}t + {\bf{5}}{t^{\bf{2}}}\), \( - {\bf{3}} + {\bf{5}}t - {\bf{7}}{t^{\bf{2}}}\), \( - {\bf{4}} + {\bf{5}}t - {\bf{6}}{t^{\bf{2}}}\), \({\bf{1}} - {t^{\bf{2}}}\)

b. \({\bf{5}}t + {t^{\bf{2}}}\), \({\bf{1}} - {\bf{8}}t - {\bf{2}}{t^{\bf{2}}}\), \( - {\bf{3}} + {\bf{4}}t + {\bf{2}}{t^{\bf{2}}}\), \({\bf{2}} - {\bf{3}}t\)

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

14. Show that if \(Q\) is an invertible, then \({\mathop{\rm rank}\nolimits} AQ = {\mathop{\rm rank}\nolimits} A\). (Hint: Use Exercise 13 to study \({\mathop{\rm rank}\nolimits} {\left( {AQ} \right)^T}\).)

Let \(B = \left\{ {\left( {\begin{array}{*{20}{c}}{\bf{1}}\\{ - {\bf{4}}}\end{array}} \right),\,\left( {\begin{array}{*{20}{c}}{ - {\bf{2}}}\\{\bf{9}}\end{array}} \right)\,} \right\}\). Since the coordinate mapping determined by B is a linear transformation from \({\mathbb{R}^{\bf{2}}}\) into \({\mathbb{R}^{\bf{2}}}\), this mapping must be implemented by some \({\bf{2}} \times {\bf{2}}\) matrix A. Find it. (Hint: Multiplication by A should transform a vector x into its coordinate vector \({\left( {\bf{x}} \right)_B}\)).

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