chapter 7 Flashcards
1
Q
symmetric
A
A(transpose)=A
2
Q
orthogonal matrix
A
if U(transpose)U=I
i.e. U(inverse)=U(transpose)
3
Q
orthogonally diagonalizable
A
if there exists an orthogonal nxn matrix U such that U(inverse)AU=U(transpose)AU is a diagonal matrix
4
Q
the spectral theorem
A
let A be an nxn real symmetric matrix. Then:
- the eigenvalues of A are real
- eigenvectors corresponding to distinct eigenvalues are orthogonal
- A is orthogonally diagonalizable
5
Q
function Q is a ____________
A
quadratic form
6
Q
positive definite if…..
A
Q(x)>0 for all x not= 0
7
Q
negative definite if…..
A
Q(x)<0 for all x not= 0
8
Q
indefinite
A
if Q(x) takes on both positive and negative values
9
Q
if the columns of A are lin dependent then _________
A
0 is an eigenvalue