Matrix Algebra, Linear Transformations Flashcards

1
Q

What is the fundamental matrix equation?

A

Ax = b

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2
Q

What is the precondition that has to be fulfilled for an equation to have a solution?

A

B has to be a linear combination of the columns of A

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3
Q

What is the Identity Matrix I?

A

A matrix with 1s on the diagonal and 0s everywhere else i.e.
1 0 0
0 1 0
0 0 1

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4
Q

What do conditions have to be fulfilled for a transformation to be linear?

A
  1. T( u + v) = T(u) + T(v) for all u, v in the domain of T

2. T(cu) = cT(u) for all scalars c and all u in the domain of T

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5
Q

What is a common application of the dot product of matrix-vector multiplication?

A

To blur photos by replacing each pixel in face with

average of pixel intensities in its neighborhood

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6
Q

What are the properties of matrix multiplication?

A

Let A be an m x n matrix and let B and C have sizes for which the indicated sums and products are defined.

a. A(BC) = (AB)C Associative law
b. A(B+C) = AB + AC (Left distributive law)
c. (B+C)A = BA + BC (Right distributive law)
d. r(AB) = (rA)B = (rB)A for any scalar r
e. ImA = A = AIn (Identity for matrix multiplication)

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7
Q

In general is AB = BA ?

A

No

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8
Q

What is the relationship between matrix inverse and identity matrix?

A

A-1A = I and AA-1 = I

a matrix multiplied with its inverse is the identity matrix

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9
Q

What’s the name of a non invertible matrix?

A

singular matrix

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10
Q

When is a matrix non - ivertible?

A

when its determinant is not equal to 0

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11
Q

How do you calculate the determinant of a 2x2 matrix?
a b
c d

A

det A = ad - bc

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12
Q

What is the transpose of a matrix?

A
given a m x n matrix the transpose of A is n x m matrix 
i.e.
a b
c d 
transpose 
a c 
b d
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