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Verify that the signals in Exercises 1 and 2 are solutions of the accompanying difference equation.

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

Short Answer

Expert verified

\({3^k}\), \({\left( { - 3} \right)^k}\) are the solution of the difference equation \({y_{k + 2}} + 2{y_{k + 1}} - 8{y_k} = 0\).

Step by step solution

01

Check the given difference equation for \({{\bf{2}}^k}\)

If \({3^k}\) is the solution,

\({y_{k + 2}} = {3^{k + 2}}\), \({y_k} = {3^k}\).

By the difference equation, you get

\(\begin{aligned} {3^{k + 2}} - 9\left( {{3^k}} \right) &= 0\\{3^k}\left( {{3^2} - 9} \right) &= 0\\{3^k}\left( {9 - 9} \right) &= 0.\end{aligned}\)

So, \({3^k}\) is the solution of the given difference equation.

02

Check the given difference equation for \({\left( { - {\bf{4}}} \right)^k}\)

If \({\left( { - 3} \right)^k}\) is the solution,

\({y_{k + 2}} = {\left( { - 3} \right)^{k + 2}}\), \({y_k} = {\left( { - 3} \right)^k}\).

By the difference equation, you get

\(\begin{aligned} {\left( { - 3} \right)^{k + 2}} - 9\left[ {{{\left( { - 3} \right)}^k}} \right] &= 0\\{\left( { - 3} \right)^k}\left( {{{\left( { - 3} \right)}^2} - 9} \right) &= 0\\{\left( { - 3} \right)^k}\left( {9 - 9} \right) &= 0.\end{aligned}\)

So, \({\left( { - 3} \right)^k}\) is the solution of the difference equation.

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Most popular questions from this chapter

Suppose \(A\) is \(m \times n\)and \(b\) is in \({\mathbb{R}^m}\). What has to be true about the two numbers rank \(\left[ {A\,\,\,{\rm{b}}} \right]\) and \({\rm{rank}}\,A\) in order for the equation \(Ax = b\) to be consistent?

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?

In Exercise 18, Ais an \(m \times n\) matrix. Mark each statement True or False. Justify each answer.

18. a. If B is any echelon form of A, then the pivot columns of B form a basis for the column space of A.

b. Row operations preserve the linear dependence relations among the rows of A.

c. The dimension of the null space of A is the number of columns of A that are not pivot columns.

d. The row space of \({A^T}\) is the same as the column space of A.

e. If A and B are row equivalent, then their row spaces are the same.

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.

In Exercise 7, find the coordinate vector \({\left( x \right)_{\rm B}}\) of x relative to the given basis \({\rm B} = \left\{ {{b_{\bf{1}}},...,{b_n}} \right\}\).

7. \({b_{\bf{1}}} = \left( {\begin{array}{*{20}{c}}{\bf{1}}\\{ - {\bf{1}}}\\{ - {\bf{3}}}\end{array}} \right),{b_{\bf{2}}} = \left( {\begin{array}{*{20}{c}}{ - {\bf{3}}}\\{\bf{4}}\\{\bf{9}}\end{array}} \right),{b_{\bf{3}}} = \left( {\begin{array}{*{20}{c}}{\bf{2}}\\{ - {\bf{2}}}\\{\bf{4}}\end{array}} \right),x = \left( {\begin{array}{*{20}{c}}{\bf{8}}\\{ - {\bf{9}}}\\{\bf{6}}\end{array}} \right)\)

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