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Find a polynomial \({p_{\bf{3}}}\) such that \(\left\{ {{p_{\bf{0}}},{p_{\bf{1}}},{p_{\bf{2}}},{p_{\bf{3}}}} \right\}\) (see Exercise 11) is an orthogonal basis for the subspace \({{\bf{P}}_{\bf{3}}}\) of \({{\bf{P}}_{\bf{4}}}\). Scale the polynomials \({p_{\bf{3}}}\) so that vector of values is \(\left( { - {\bf{1}},{\bf{2}},{\bf{0}}, - {\bf{2}},{\bf{1}}} \right)\).

Short Answer

Expert verified

The vector \({p_3}\) is \(\frac{5}{6}\left( {{t^3} - \frac{{17}}{5}t} \right)\).

Step by step solution

01

Find the vector \({p_{\bf{3}}}\)

Let the subspace W is defined as:

\(W = {\rm{Span}}\left\{ {{p_0},{p_1},{p_2}} \right\}\)

The vector \({p_3}\) is:

\(\begin{aligned}{p_3} &= p - {\rm{pro}}{{\rm{j}}_W}p\\ &= {t^3} - \frac{{17}}{5}t\end{aligned}\)

Thus, \({p_3}\) makes \(\left\{ {{p_0},{p_1},{p_2},{p_3}} \right\}\) and orthogonal basis for the subspace \({{\bf{P}}_3}\) and \({{\bf{P}}_4}\).

02

Find the values of \({p_{\bf{3}}}\) 

The values of \({p_3}\) are:

\(\begin{aligned}{p_3}\left( { - 2} \right) &= - \frac{6}{5}\\{p_3}\left( { - 1} \right) &= \frac{{12}}{5}\\{p_3}\left( 0 \right) &= 0\\{p_3}\left( 1 \right) &= - \frac{{12}}{5}\\{p_3}\left( 2 \right) &= \frac{6}{5}\end{aligned}\)

So, scaling the vector by \(\frac{5}{6}\), the vector \({p_3}\) can be expressed as \({p_3} = \frac{5}{6}\left( {{t^3} - \frac{{17}}{5}t} \right)\).

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Most popular questions from this chapter

In Exercises 13 and 14, the columns of Q were obtained by applying the Gram-Schmidt process to the columns of A. Find an upper triangular matrix R such that \(A = QR\). Check your work.

13. \(A = \left( {\begin{aligned}{{}{}}5&9\\1&7\\{ - 3}&{ - 5}\\1&5\end{aligned}} \right),{\rm{ }}Q = \left( {\begin{aligned}{{}{}}{\frac{5}{6}}&{ - \frac{1}{6}}\\{\frac{1}{6}}&{\frac{5}{6}}\\{ - \frac{3}{6}}&{\frac{1}{6}}\\{\frac{1}{6}}&{\frac{3}{6}}\end{aligned}} \right)\)

Find a \(QR\) factorization of the matrix in Exercise 11.

In Exercises 11 and 12, find the closest point to\[{\bf{y}}\]in the subspace\[W\]spanned by\[{{\bf{v}}_1}\], and\[{{\bf{v}}_2}\].

11.\[y = \left[ {\begin{aligned}3\\1\\5\\1\end{aligned}} \right]\],\[{{\bf{v}}_1} = \left[ {\begin{aligned}3\\1\\{ - 1}\\1\end{aligned}} \right]\],\[{{\bf{v}}_2} = \left[ {\begin{aligned}1\\{ - 1}\\1\\{ - 1}\end{aligned}} \right]\]

In Exercises 7–10, let\[W\]be the subspace spanned by the\[{\bf{u}}\]’s, and write y as the sum of a vector in\[W\]and a vector orthogonal to\[W\].

7.\[y = \left[ {\begin{aligned}1\\3\\5\end{aligned}} \right]\],\[{{\bf{u}}_1} = \left[ {\begin{aligned}1\\3\\{ - 2}\end{aligned}} \right]\],\[{{\bf{u}}_2} = \left[ {\begin{aligned}5\\1\\4\end{aligned}} \right]\]

In exercises 1-6, determine which sets of vectors are orthogonal.

  1. \(\left[ {\begin{array}{*{20}{c}}{ - 1}\\4\\{ - 3}\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}5\\2\\1\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}3\\{ - 4}\\{ - 7}\end{array}} \right]\)
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