Lecture 4: Linear Operators on Vector Spaces Flashcards

1
Q

Linear Operator Matrix y = L(x), B = Aa

A
  1. Linear operator satisfies superposition
  2. Relation between input and output representations
  3. Used to find other relations
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2
Q

Properties of Representation Matrix A

A

ith Column of A is the representation of yi = L(ei) with respect to output basis

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3
Q

Progression of Linear Operator Matrix Equations

  1. input as matrix form
  2. output as matrix form
  3. output columns
A
  1. x = [e1 … en] * [a1;…;an]
  2. y = L(x) = a1*L(e1) + … + anL(en) = UAa
  3. yi = L(ei) = [e1 … en] * ai
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4
Q

Relationship between two representations and basis of x

A
  1. a’ = Pa

2. ith column of P is the representation of original basis vector ei with new basis vectors e’

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5
Q

Relationship between two representations and basis of y

A
  1. B’ = TB

2. ith column of T is the representation of original basis vector ui with new basis vectors u’

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6
Q

Relationship Between Matrix Representations

A
A = inverse(T) * A' * P
A' = T * A * inverse(P)
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7
Q

Similarity Transformation

A

A and A’ are similar if there exists a nonsingular matrix P satisfying
A = inverse(P) * A’ * P
A’ = P * A * inverse(P)

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8
Q

Operators as Spaces

A
  1. Set of all linear operators is a linear space
  2. Follows axioms of Norms
  3. Norm used to find size of operator
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9
Q

Matrix Norms

  1. Supremum
  2. A1 Norm
  3. Euclidean Norm
  4. Infinity Norm
  5. Frobenius Norm
A
  1. Least upper bound
  2. Largest sum across columns
  3. sqrt(Max(x’T *A’T Ax))
  4. Largest sum across rows
  5. sqrt(tr(A’T *A)
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10
Q

Bounded Linear Operator

A

||Ax|| <= k ||x|| for all vectors x in space.

If gain ||Ax|| / ||x|| is bounded

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11
Q

Adjoint Operator L*

A

Must satisfy = for all vectors x and y (<> denotes inner product)
ie. A represents operator L where an orthonormal basis to obtain matrix representation A, then Adjoint of L is transpose(A’).

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12
Q

Self-Adjoint Operators

A

If adjoint operator is the same as the operator to begin with it is called the hermitian operator. Operator must have orthonormal basis.
If hermitian is real then A = transpose(A).

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