Section 1 Flashcards

1
Q

What are conformable matrices?

A

Matrices of the right dimensions to be able to perform the operation required

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2
Q

What are the following:

a) Null matrix
b) Square matrix
c) Diagonal matrix
d) Identity matrix?

A

a) 0s in every element
b) matrix same no. of rows and columns
c) matrix with 0s everywhere except main diagonal
d) square matrix kxk, 1s on main diagonal, 0s elsewhere

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3
Q

What is a symmetric matrix?

A

When A=A’

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4
Q

What is a trace?

A

Sum of diagonal elements of A, denoted tr(A)

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5
Q

What is linear dependence?

A

When each element in a row or column is exactly related to those of other rows or columns

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6
Q

Difference between a singular and non-singular matrix?

A

A singular matrix has rows/columns that are linearly dependent

A non-singular matrix has no linearly dependent rows/columns

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7
Q

What is the rank of a matrix?

A

The number of linearly dependent rows/columns a matrix has

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8
Q

How are determinants denoted? (eg. matrix A)

A

|A| (check i can do aswell)

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9
Q

What is the adjoint?

A

Denoted adj(A) it is the transpose of the matrix of cofactors of A

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10
Q

What type of matrices are invertible?

A

Square, non-singular matrices

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11
Q

What is an idempotent matrix?

A

One that equals itself when multiplied by itself

AA=A

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12
Q

Quick way to see if a matrix is positive definite? and positive semi-definite?

A

If all LPM are positive

PSD if all LPM are non-negative

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13
Q

Quick way to see if a matrix is negative definite? and negative semi definite?

A

When all odd numbered LPM are negative and all even numbered are positive

NSD if all odd numbered LPM are negative or 0 and all even numbered are positive or 0

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14
Q

Expected value of a matrix?

A

=The expected value of each element (see notes end of S1!!!)

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