Chapter 8: Q9E (page 413)
If matrix is positive definite, then all the eigenvalues ofmust be positive.
Short Answer
The given statement is TRUE.
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Chapter 8: Q9E (page 413)
If matrix is positive definite, then all the eigenvalues ofmust be positive.
The given statement is TRUE.
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If Ais an invertible symmetric matrix, thenmust be positive definite.
Consider the quadratic form
.
We define
.
The discriminant D of q is defined as
.
The second derivative test tells us that if D androle="math" localid="1659684555469" are both positive, then
has a minimum at (0, 0). Justify this fact, using the theory developed in this section.
Consider a linear transformation Tfrom to , where . Show that there exist an orthonormal basis of and an orthonormal basis of such that is a scalar multiple of , for i = 1,....m.
Hint: Exercise 19is helpful.
Consider a quadratic form
where A is a symmetricnxnmatrix. Let be a unit eigenvector of A, with associated eigenvalue . Find .
For the quadratic form , find an orthogonal basis of such that . Use your answer to sketch the level curve . Compare with Example 4 and Figure 4 in this section. Exercise 63 is helpful.
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