Chapter 7: Q10E (page 395)
Question:Repeat Exercise 9 with \(S = \left( {\begin{array}{*{20}{c}}5&4&2\\4&{11}&4\\2&4&5\end{array}} \right)\).
Short Answer
The variance ofobtained as \({\lambda _1} = 15\).
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Chapter 7: Q10E (page 395)
Question:Repeat Exercise 9 with \(S = \left( {\begin{array}{*{20}{c}}5&4&2\\4&{11}&4\\2&4&5\end{array}} \right)\).
The variance ofobtained as \({\lambda _1} = 15\).
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Find the matrix of the quadratic form. Assume x is in \({\mathbb{R}^2}\).
a. \(3x_1^2 + 2x_2^2 - 5x_3^2 - 6{x_1}{x_2} + 8{x_1}{x_3} - 4{x_2}{x_3}\)
b. \(6{x_1}{x_2} + 4{x_1}{x_3} - 10{x_2}{x_3}\)
Question:Repeat Exercise 7 for the data in Exercise 2.
Classify the quadratic forms in Exercises 9-18. Then make a change of variable, \({\bf{x}} = P{\bf{y}}\), that transforms the quadratic form into one with no cross-product term. Write the new quadratic form. Construct P using the methods of Section 7.1.
10. \({\bf{2}}x_{\bf{1}}^{\bf{2}} + {\bf{6}}{x_{\bf{1}}}{x_{\bf{2}}} - {\bf{6}}x_{\bf{2}}^{\bf{2}}\)
Determine which of the matrices in Exercises 1–6 are symmetric.
1. \(\left[ {\begin{aligned}{{}}3&{\,\,\,5}\\5&{ - 7}\end{aligned}} \right]\)
Construct a spectral decomposition of A from Example 2.
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