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

Short Answer

Expert verified

a. The set does not span for \({P_2}\).

b. The set spans for \({P_2}\).

Step by step solution

01

Write the polynomials in the standard vector form

\(\left\{ {1 - 3t + 5{t^2}, - 3 + 5t - 7{t^2}, - 4 + 5t - 6{t^2},1 - {t^2}} \right\} = \left\{ {\left( {\begin{array}{*{20}{c}}1\\{ - 3}\\5\end{array}} \right),\,\left( {\begin{array}{*{20}{c}}{ - 3}\\5\\{ - 7}\end{array}} \right),\,\left( {\begin{array}{*{20}{c}}{ - 4}\\5\\{ - 6}\end{array}} \right),\,\left( {\begin{array}{*{20}{c}}1\\0\\{ - 1}\end{array}} \right)} \right\}\)

02

Form the matrix using the vectors

The matrix formed by using the vectors of the polynomials is:

\(A = \left( {\begin{array}{*{20}{c}}1&{ - 3}&{ - 4}&1\\{ - 3}&5&5&0\\5&{ - 7}&{ - 6}&{ - 1}\end{array}} \right)\)

03

Write the matrix in the echelon form

\(\left( {\begin{array}{*{20}{c}}1&{ - 3}&{ - 4}&1\\{ - 3}&5&5&0\\5&{ - 7}&{ - 6}&{ - 1}\end{array}} \right) \sim \left( {\begin{array}{*{20}{c}}1&0&{\frac{5}{4}}&{ - \frac{5}{4}}\\0&1&{\frac{7}{4}}&{ - \frac{3}{4}}\\0&0&0&0\end{array}} \right)\)

From the echelon form, it can be observed that for three variables, there are two equations. Hence, there is onefree variable.

So, the given set does not span for \({P_2}\).

04

Write the polynomials in the  standard vector form

\(\left\{ {5t + {t^2},1 - 8t - 2{t^2}, - 3 + 4t + 2{t^2},2 - 3t} \right\} = \left\{ {\left( {\begin{array}{*{20}{c}}0\\5\\1\end{array}} \right),\,\,\left( {\begin{array}{*{20}{c}}1\\{ - 8}\\{ - 2}\end{array}} \right),\,\,\left( {\begin{array}{*{20}{c}}{ - 3}\\4\\2\end{array}} \right),\,\,\left( {\begin{array}{*{20}{c}}2\\{ - 3}\\0\end{array}} \right)} \right\}\)

05

Form the matrix using the vectors

\(B = \left( {\begin{array}{*{20}{c}}0&1&{ - 3}&2\\5&{ - 8}&4&{ - 3}\\1&{ - 2}&2&0\end{array}} \right)\)

06

Write the matrix in the echelon form

\(\left( {\begin{array}{*{20}{c}}0&1&{ - 3}&2\\5&{ - 8}&4&{ - 3}\\1&{ - 2}&2&0\end{array}} \right) \sim \left( {\begin{array}{*{20}{c}}1&0&{ - 4}&0\\0&1&{ - 3}&0\\0&0&0&1\end{array}} \right)\)

From the echelon form, it can be observed that for three variables, there are three equations. Hence, no free variable is present.

Therefore, the set spans for \({P_2}\).

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Most popular questions from this chapter

Verify that rank \({{\mathop{\rm uv}\nolimits} ^T} \le 1\) if \({\mathop{\rm u}\nolimits} = \left[ {\begin{array}{*{20}{c}}2\\{ - 3}\\5\end{array}} \right]\) and \({\mathop{\rm v}\nolimits} = \left[ {\begin{array}{*{20}{c}}a\\b\\c\end{array}} \right]\).

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

17. A submatrix of a matrix A is any matrix that results from deleting some (or no) rows and/or columns of A. It can be shown that A has rank \(r\) if and only if A contains an invertible \(r \times r\) submatrix and no longer square submatrix is invertible. Demonstrate part of this statement by explaining (a) why an \(m \times n\) matrix A of rank \(r\) has an \(m \times r\) submatrix \({A_1}\) of rank \(r\), and (b) why \({A_1}\) has an invertible \(r \times r\) submatrix \({A_2}\).

The concept of rank plays an important role in the design of engineering control systems, such as the space shuttle system mentioned in this chapterโ€™s introductory example. A state-space model of a control system includes a difference equation of the form

\({{\mathop{\rm x}\nolimits} _{k + 1}} = A{{\mathop{\rm x}\nolimits} _k} + B{{\mathop{\rm u}\nolimits} _k}\)for \(k = 0,1,....\) (1)

Where \(A\) is \(n \times n\), \(B\) is \(n \times m\), \(\left\{ {{{\mathop{\rm x}\nolimits} _k}} \right\}\) is a sequence of โ€œstate vectorsโ€ in \({\mathbb{R}^n}\) that describe the state of the system at discrete times, and \(\left\{ {{{\mathop{\rm u}\nolimits} _k}} \right\}\) is a control, or input, sequence. The pair \(\left( {A,B} \right)\) is said to be controllable if

\({\mathop{\rm rank}\nolimits} \left( {\begin{array}{*{20}{c}}B&{AB}&{{A^2}B}& \cdots &{{A^{n - 1}}B}\end{array}} \right) = n\) (2)

The matrix that appears in (2) is called the controllability matrix for the system. If \(\left( {A,B} \right)\) is controllable, then the system can be controlled, or driven from the state 0 to any specified state \({\mathop{\rm v}\nolimits} \) (in \({\mathbb{R}^n}\)) in at most \(n\) steps, simply by choosing an appropriate control sequence in \({\mathbb{R}^m}\). This fact is illustrated in Exercise 18 for \(n = 4\) and \(m = 2\). For a further discussion of controllability, see this textโ€™s website (Case study for Chapter 4).

The null space of a \({\bf{5}} \times {\bf{6}}\) matrix A is 4-dimensional, what is the dimension of the column space of A.

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

13. Show that if \(P\) is an invertible \(m \times m\) matrix, then rank\(PA\)=rank\(A\).(Hint: Apply Exercise12 to \(PA\) and \({P^{ - 1}}\left( {PA} \right)\).)

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.

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