chapter 7 Flashcards

1
Q

symmetric

A

A(transpose)=A

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2
Q

orthogonal matrix

A

if U(transpose)U=I

i.e. U(inverse)=U(transpose)

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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

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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
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5
Q

function Q is a ____________

A

quadratic form

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6
Q

positive definite if…..

A

Q(x)>0 for all x not= 0

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7
Q

negative definite if…..

A

Q(x)<0 for all x not= 0

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8
Q

indefinite

A

if Q(x) takes on both positive and negative values

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9
Q

if the columns of A are lin dependent then _________

A

0 is an eigenvalue

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