Eigenvalues & Eigenvectors Flashcards

1
Q

What is the set of eigenvalues called?

A

The spectrum.

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2
Q

What is the eigenspace of an eigenvalue?

A

The set of eigenvectors corresponding to an eigenvalue.

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3
Q

What is the characteristic equation for finding eigenvalues?

A

(A - lambdaI)x = 0.

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4
Q

When will the system (A - lambdaI)x have non-zero solutions in x?

A

Iff it is indeterminate, i.e. r < n.

This means det(A - lambda*I) = 0.

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5
Q

For an n*n matrix, how many eigenvalues can you have?

A

n or fewer eigenvalues.

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6
Q

How many eigenvectors will each eigenvalue have?

A

1 or more eigenvectors.

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7
Q

What can be said about the different eigenvectors?

A

That they are mutually independent.

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8
Q

What is the algebraic order of an eigenvalue (M) ?

A

The power of the root of the characteristic polynomial.

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9
Q

What is the sum of the algebraic orders?

A

n

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10
Q

What is the geometric order (m) ?

A

The dimension of the eigenspace of an eigenvalue, i.e. the space spanned by the eigenvectors.

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11
Q

What is the relationship between M and m?

A

m < or = M

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12
Q

How to check the eigenvalues?

A
  1. The product of the eigenvalues with their algebraic orders as powers = det(A).
  2. The sum of the eigenvalues multiplied by their algebraic orders = sum of diagonal terms of A = trace(A).
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