Matrices Vocab Flashcards

0
Q

Dimensions

A

Tells how many rows and columns the matrix has

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1
Q

Address

A

Number in a matrix that tells you the row and column of that number

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2
Q

Main Diagonal

A

Upper left corner to lower right corner

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3
Q

Square Matrix

A

The matrix length (row) and width (column) are the same

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4
Q

Scalar

A

Scales the number in a matrix using multiplication

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5
Q

Matrix

A

A rectangular array of numbers enclosed in brackets

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6
Q

Entry

A

Value in a matrix

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7
Q

Matrix Product

A

The product of two or more matrices

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8
Q

Multiplicative Identity Matrix

A

Any square matrix named with the letter “I” that has all of the entries along the main diagonal equal to 1 and all other entries are 0

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9
Q

Translation Matrix

A

Matrix used to translate coordinates on the coordinate plane

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10
Q

Reflection Matrix

A

A matrix that creates a minor image by reflecting each vertex over a specified line of symmetry

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11
Q

Rotation Matrix

A

A matrix used to rotate a figure

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12
Q

Determinate

A

The difference of the products of the diagonals

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13
Q

Coefficient Matrix

A

A system of linear equations in a standard form is the matrix by the coefficients for the variables in the equations

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14
Q

Cramer’s Rule

A

An expression for the solution of a system of linear equations with as many equations as unknowns Ax=B

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15
Q

Multiplicative Inverse

A

For a square matrix A, the inverse is written A-1. When A is multiplied by A-1 the result is the identity matrix I. Non-square matrices cannot have an inverse

16
Q

Matrix Equation

A

AX=B, where A is the coefficient matrix

17
Q

Variable Matrix

A

AX=B, X is the variable matrix

18
Q

Constant Matrix

A

AX=B, B is the constant matrix

19
Q

Augmented Matrix

A

Consists of the coefficient and constant terms of a system of linear equations

20
Q

Row Operation

A

To change form of the matrix

21
Q

Row Reduction

A

The process of performing elementary row operations on an augmented matrix to solve a system

22
Q

Reduced Ro-Echelon Form

A

Going to a matrix to a y= or x=
[1 0 : 5] -> 1x=5
[0 1 : 2] -> 1y=2