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Exercises 21–24 refer to \(V = C\left( {0,1} \right)\) with the inner product given by an integral, as in Example 7.

21. Compute \(\left\langle {f,g} \right\rangle \), where \(f\left( t \right) = 1 - 3{t^2}\)and \(g\left( t \right) = 1 - {t^3}\).

Short Answer

Expert verified

The inner product is \(\left\langle {f,g} \right\rangle = 0\).

Step by step solution

01

Use the given information

It is given that\(f\left( t \right) = 1 - 3{t^2}\),\(g\left( t \right) = 1 - {t^3}\).

For the pair of vectors\(\left\langle {f,g} \right\rangle \), the inner product is given by \(\left\langle {f,g} \right\rangle = \int_0^1 {f\left( t \right)g\left( t \right)dt} \).

02

Find the inner product

Plug the expression for\(f\left( t \right)\)and\(g\left( t \right)\)into the inner product\(\left\langle {f,g} \right\rangle = \int_0^1 {f\left( t \right)g\left( t \right)dt} \), as follows:

\(\begin{aligned}{}\left\langle {f,g} \right\rangle &= \int_0^1 {f\left( t \right)g\left( t \right)dt} \\ &= \int_0^1 {\left( {1 - 3{t^2}} \right)\left( {t - {t^3}} \right)dt} \\ &= \int_0^1 {3{t^5} - 4{t^3} + t\,dt} \\ &= \left( {\frac{{{t^6}}}{2} - {t^4} + \frac{{{t^2}}}{2}} \right)_0^1\\& = \left( {\frac{1}{2} - 1 + \frac{1}{2} - 0} \right)\\ &= 0\end{aligned}\)

Thus, the inner product is\(\left\langle {f,g} \right\rangle = 0\).

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Most popular questions from this chapter

Find the distance between \({\mathop{\rm u}\nolimits} = \left( {\begin{aligned}{*{20}{c}}0\\{ - 5}\\2\end{aligned}} \right)\) and \({\mathop{\rm z}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{ - 4}\\{ - 1}\\8\end{aligned}} \right)\).

a. Rewrite the data in Example 1 with new \(x\)-coordinates in mean deviation form. Let \(X\) be the associated design matrix. Why are the columns of \(X\) orthogonal?

b. Write the normal equations for the data in part (a), and solve them to find the least-squares line, \(y = {\beta _0} + {\beta _1}x*\), where \(x* = x - 5.5\).

Suppose \(A = QR\) is a \(QR\) factorization of an \(m \times n\) matrix

A (with linearly independent columns). Partition \(A\) as \(\left[ {\begin{aligned}{{}{}}{{A_1}}&{{A_2}}\end{aligned}} \right]\), where \({A_1}\) has \(p\) columns. Show how to obtain a \(QR\) factorization of \({A_1}\), and explain why your factorization has the appropriate properties.

Find a \(QR\) factorization of the matrix in Exercise 12.

Compute the quantities in Exercises 1-8 using the vectors

\({\mathop{\rm u}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{ - 1}\\2\end{aligned}} \right),{\rm{ }}{\mathop{\rm v}\nolimits} = \left( {\begin{aligned}{*{20}{c}}4\\6\end{aligned}} \right),{\rm{ }}{\mathop{\rm w}\nolimits} = \left( {\begin{aligned}{*{20}{c}}3\\{ - 1}\\{ - 5}\end{aligned}} \right),{\rm{ }}{\mathop{\rm x}\nolimits} = \left( {\begin{aligned}{*{20}{c}}6\\{ - 2}\\3\end{aligned}} \right)\)

5. \(\left( {\frac{{{\mathop{\rm u}\nolimits} \cdot {\mathop{\rm v}\nolimits} }}{{{\mathop{\rm v}\nolimits} \cdot {\mathop{\rm v}\nolimits} }}} \right){\mathop{\rm v}\nolimits} \)

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