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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.

23. Compute \(\left\| f \right\|\) for \(f\) in Exercise 21.

Short Answer

Expert verified

The required value is,\(\left\| f \right\| = \frac{2}{{\sqrt 5 }}\).

Step by step solution

01

Use the given information

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

It is given that \(f\left( t \right) = 1 - 3{t^2}\), then \(\left\langle {f,f} \right\rangle = \int_0^1 {f\left( t \right)f\left( t \right)dt} \)and\(\left\| f \right\| = \sqrt {\left\langle {f,f} \right\rangle } \).

02

Find the inner product

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

\(\begin{aligned}{}\left\langle {f,f} \right\rangle &= \int_0^1 {f\left( t \right)f\left( t \right)dt} \\ &= \int_0^1 {\left( {1 - 3{t^2}} \right)\left( {1 - 3{t^2}} \right)dt} \\ &= \int_0^1 {\left( {9{t^4} - 6{t^2} + 1} \right)\,\,dt} \\ &= \left( {\frac{{9{t^5}}}{5} - \frac{{6{t^3}}}{3} + t} \right)_0^1\\ &= \left( {\frac{9}{5} - 2 + 1 - 0} \right)\\ &= \frac{4}{5}\end{aligned}\)

03

Compute \(\left\| f \right\|\)

Plug the expression for\(\left\langle {f,f} \right\rangle \)into\(\left\| f \right\| = \sqrt {\left\langle {f,f} \right\rangle } \)and simplify as follows:

\(\begin{aligned}{}\left\| f \right\| &= \sqrt {\left\langle {f,f} \right\rangle } \\ &= \sqrt {\frac{4}{5}} \\ &= \frac{2}{{\sqrt 5 }}\end{aligned}\)

Hence, the required value is \(\left\| f \right\| = \frac{2}{{\sqrt 5 }}\).

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Most popular questions from this chapter

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\[W\].

9.\[y = \left[ {\begin{aligned}4\\3\\3\\{ - 1}\end{aligned}} \right]\],\[{{\bf{u}}_1} = \left[ {\begin{aligned}1\\1\\0\\1\end{aligned}} \right]\],\[{{\bf{u}}_2} = \left[ {\begin{aligned}{ - 1}\\3\\1\\{ - 2}\end{aligned}} \right]\],\[{{\bf{u}}_2} = \left[ {\begin{aligned}{ - 1}\\0\\1\\1\end{aligned}} \right]\]

Let \(\left\{ {{{\bf{v}}_1}, \ldots ,{{\bf{v}}_p}} \right\}\) be an orthonormal set. Verify the following equality by induction, beginning with \(p = 2\). If \({\bf{x}} = {c_1}{{\bf{v}}_1} + \ldots + {c_p}{{\bf{v}}_p}\), then

\({\left\| {\bf{x}} \right\|^2} = {\left| {{c_1}} \right|^2} + {\left| {{c_2}} \right|^2} + \ldots + {\left| {{c_p}} \right|^2}\)

Compute the quantities in Exercises 1-8 using the vectors

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

4. \(\frac{1}{{{\mathop{\rm u}\nolimits} \cdot {\mathop{\rm u}\nolimits} }}{\mathop{\rm u}\nolimits} \)

In Exercises 1-4, find the equation \(y = {\beta _0} + {\beta _1}x\) of the least-square line that best fits the given data points.

  1. \(\left( {0,1} \right),\left( {1,1} \right),\left( {2,2} \right),\left( {3,2} \right)\)

Let \(X\) be the design matrix in Example 2 corresponding to a least-square fit of parabola to data \(\left( {{x_1},{y_1}} \right), \ldots ,\left( {{x_n},{y_n}} \right)\). Suppose \({x_1}\), \({x_2}\) and \({x_3}\) are distinct. Explain why there is only one parabola that best, in a least-square sense. (See Exercise 5.)

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