Lecture Chapter 2 Flashcards

1
Q

How to A+B?

A

add corresponding entries

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2
Q

How to scalar multiple cA?

A

multiply each entry by c

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3
Q

How do you compute AB

A

AB = [Ab1 Ab2 … Abp]
each column of AB is a linear combination of the columns of A using weights from the corresponding entries of B
in general AB /= BA

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4
Q

What is the transpose of A : A^T

A

the columns of A^T are the rows of A

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5
Q

What can you say if A and B are invertible?

A
A^-1A=I and AA^-1=I
Ax=b has unique solution x=A^-1 b
A^-1 is invertible
AB invertible : (AB)^-1 = B^-1 A^-1
A^T invertible : (A^T)^-1 = (A^-1)^T
A row equivalent to In (any sequence of elementary row operations that reduce A to In transforms In into A^-1)
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6
Q

What can you say if det A = 0 ?

A

A is not invertible

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7
Q

How do you find A^-1

A

row reduce [A/I]
if A is row equivalent to I, [A/I] is row equivalent to [I/A^-1]
otherwise, A doesn’t have an inverse

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8
Q

State the Invertible Matrix Theorem (IMT)

A
  • A invertible
  • A row equivalent to In
  • A has n pivot positions
  • Ax=0 only has the trivial solution
  • columns of A : linearly independent set
  • transformation T(x) = Ax is one-to-one
  • Ax=b has at least one solution
  • columns of A span Rn
  • T(x) = Ax maps Rn onto Rn
  • nxn matrix C exists such that CA = I
  • nxn matrix D exists such that AD = I
  • A^T is invertible
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9
Q

What can you say if AB = I ?

A

A and B are invertible and A=B^-1 and B = A^-1

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10
Q

When is a linear transformation invertible?

A

If a transformation S exists such that S= inverse of T and S=T^-1

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11
Q

When is a matrix transformation invertible?

A

When A is invertible

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12
Q

What is the LU factorization?

A

A = LU with
L : square lower triangular matrix
U : upper triangular matrix

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13
Q

What is a lower triangular matrix? upper?

A

lower : zeros above main diagonal

upper : zeros below main diagonal

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