Chapter 1.4 Flashcards

0
Q

General rule concerning parentheses in matrix arithmetics

A

Given any sum or any product of matrices, pairs of parenthesis can be inserted or deleted anywhere without affecting the end result.

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1
Q

Properties of matrix arithmatics (9)

A

1) A + B = B + A (commutative law)
2) A + (B + C) = (A + B) + C (associative law)
3) A(BC) = (AB)C (associative law for multiplication)
4) A(B + C) = AB + AC (left distributive law)
5) (B + C)A = BA + CA (right distributive law)
6) a(B + C) = aB + aC
7) (a + b)C = aC + bC
8) a(bC) = (ab)C
9) a(BC) = (aB)C = B(aC)

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2
Q

Properties of Zero-matrices (5)

A

1) A + 0 = 0 + A = A
2) A - 0 = A
3) A - A = 0
4) A * 0 = 0 * A = 0
5) if cA = 0 then c = 0 or A = 0

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3
Q

If R is the reduced row echelon form of a square matrix A, then one of which two facts are true?

A

1) R has at least one row of zeros

or 2) R is the identity matrix

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4
Q

What is the definition of an invertible matrix

A

If A is a square matrix, and if a matrix B of the same size can be found such that AB = BA = I, then A is said to be invertible (or nonsingular) and B is called the inverse of A. If no such matrix B can be found, then A is said to be singular.

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5
Q

If B and C are both inverses of A then

A

B = C

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6
Q

A =
a b
c d
Is invertible if

A

ad =/= bc

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7
Q

If A =
a b
c d
And is invertible, then the inverse of A is

A

1/(ad - bc) *
d -b
-c a

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8
Q

Ithe determinant of the 2x2 matix A is

A

ad - bc, denoted det(A)

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9
Q

If A and B are invertible matrices of the same size, then inv(AB) is

A

inv(B) * inv(A)

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10
Q

If A is invertible and n is a nonnegative integer, then (3)

A

1) inv(A) is invertible and inv(inv(A)) = A
2) A^n is invertible and inv(A^n) =A^-n = inv(A)^n
3) kA is invertible and inv(kA) = (1/k)*(inv(A)

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11
Q

Properties of transposes

A

1) tra(tra(A)) = A
2) tra(A + B) = tra(A) + tra(B)
3) tra(kA) = ktra(A)
4) tra(BA) = tra(A)
tra(B)

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12
Q

If A is an invertible matrix, then what can be said of its transpose

A

tra(A) is also invertible and

inv(tra(A)) = tra(inv(A))

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13
Q

What can be said about a square matrix with a row or column of zeros

A

It is singular and has no inverse

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