Matrix Algebra Flashcards

1
Q

What Does Matrix Algebra Provide?

A

Simple way to represent complex linear relationships.
Way to find equilibrium solutions.
Effective tool for input-output analysis and for network analysis.

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2
Q

What Order is a Matrix written as?

A

i x j
i = number of rows
j = number of columns

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3
Q

How to denote a:
Matric
Element
Vector

A

Matrix = bold upper case letter
Element = lower case letter
Vector = underlining/bold lower case.

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4
Q

What is a Square Matrix?

A

Same number of rows & columns

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5
Q

What is an Identity Matrix?

A

Denoted as I (bold).
Each element on main diagonal equals 1, all other elements = 0.

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6
Q

What is a Zero Matrix?

A

Every element = 0.

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7
Q

What is a Transpose Matrix?

A

Replace all rows with columns.

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8
Q

What is the Rule for Adding/Subtracting Matrices?

A

Can only be added/subtracted if they are of the same order..

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9
Q

What is Scalar Multiplication?

A

Multiply each element of matrix by denoted “k”.

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10
Q

What are the Rules of Vector Multiplication?

A

Row vector can be multiplied by column vector if they both have the same number of elements.
Row vector * corresponding column vector, & products are summed.

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11
Q

What are the Rules for Multiplying Matrices?

A

Matrices can only be multiplied if conformable, no. columns in A = no. rows in B.
Any matrix can be multiplied by an Identity Matrix.

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12
Q

How can System of Linear Equations be Represented in Matrix Form? What are the Coefficients?

A

Ax = b
A, coefficient matrix
x, solution vector
b, vector of constants

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13
Q

How Can the Determinant of a 2x2 Matrix be Found?

A

Subtract product of off-diagonal by product of principal diagonal.

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14
Q

What are the Rules for the Inverse Matrix 2x2?

A

A*A^-1 = I
Inverse can only be defined by a square matrix.
If determinant = 0, matrix said to be singular, no inverse.

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15
Q

What are the Properties of Higher Order Determinants?

A

Can expand along any row/column, get same answer.
if 2 rows are linearly dependent (proportional), determinant will be 0. Therefore, matrix is singular.

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