Exam Revision Flashcards

1
Q

Image space of A

A

The set of all vectors y ∈ R^m such that Ax = y has a solution

im(A) = {Ax : x ∈ R^n}.

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2
Q

Null space of A

A

The subspace of the solutions to the homogenous equation Ax=0.

null(A) = {x ∈ R^n: Ax = 0}.

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3
Q

Nullity of a matrix A

A

the dimension of its null space null(A), and is denoted nullity(A).

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4
Q

The rank and nullity theorem

A

If A is an m × n matrix then
rank(A) + nullity(A) = n.

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5
Q

Rank

A

dimension of row space

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6
Q

Subspace of R^n

A

A set U of vectors in R^n such that:
(1) The zero vector 0 ∈ U.
(2) If x and y are in U then x+y is in U.
(3) If x is in U and c ∈ R is a scalar, then cx ∈ U.

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7
Q

det(kA) =

A

k^n det(A)

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8
Q

det(A^T) =

A

det(A)

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9
Q

Rank of quadratic form

A

Let Q be a non-zero quadratic form in n variables that transforms such that f(x) = x^TAx, x ∈ Rn, A is a symmetric n × n matrix with p positive eigenvalues and n negative eigenvalues. Then p + n is the rank of f

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10
Q

Signature of quadratic form

A

Let Q be a non-zero quadratic form in n variables that transforms such that f(x) = x^TAx, x ∈ Rn, A is a symmetric n × n matrix with p positive eigenvalues and n negative eigenvalues. Then p − n is the signature of f

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11
Q

Unitary matrix

A

U^−1 = U^H

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12
Q

Theorem 5.5.1 Let A and B be n × n matrices with A ∼ B. Then:

A

(a) det(A) = det(B);
(b) A is invertible if and only if B is invertible;
(c) A and B have the same rank;
(d) A and B have the same characteristic polynomial;
(e) A and B have the same eigenvalues.
(f) A and B have the same trace.

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