Module 1: Properties and Fundamental Operation of Matrices Flashcards

This deck's objective is to familiarize oneself with matrices and learn to distinguish each type.

1
Q

is a rectangular array of elements (either numbers or symbols), which are arranged in orderly
rows and columns.

A

Matrix ( plural, Matrices)

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2
Q

The size of a matrix is specified by the number of 1.____ times the number of 2._______.

A
  1. rows
  2. columns
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3
Q

are generally identified by a double subscripted lowercase letter

A

Elements of a matrix

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4
Q

Elements of a matrix are generally identified by a double subscripted lowercase letter, for example, Aij, where the first subscript “i” identifies the 1.___ of the matrix and the second subscript “j” identifies the 2. ______ of the matrix.

A
  1. row
  2. column
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5
Q

is a matrix which has the same number of rows and columns, that is, m = n.

A

Square matrix, “S”

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6
Q

is a square matrix with all elements equal to zero except the elements on the major diagonal.

A

Diagonal matrix, “D”

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7
Q

is a diagonal matrix with unity diagonal elements.

A

Identity matrix, “I”

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8
Q

is the matrix equivalent of the scalar number unity.

A

Identity matrix, “I”

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9
Q

is a square matrix for which all elements on the main diagonal are equal.

A

Scalar matrix

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10
Q

is a square matrix wherein the elements about its main diagonal has similarities with their relative position

A

Symmetric matrix

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11
Q

a matrix wherein all its elements are zero

A

Zero or Null matrix, “O”

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12
Q

are a special type of matrix which has only one column or one row.

A

Vectors

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13
Q

a square matrix in which all the elements on one side of the major diagonal are zero.

A

Triangular matrix

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14
Q

is a square matrix in which all the elements are not on the major diagonal and the two diagonals surrounding the major diagonal are zero.

A

Tridiagonal matrix, “T”

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15
Q

has all zero elements except along particular diagonals.

A

Banded matrix, “B”

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16
Q

consists of matrix addition, matrix subtraction, and matrix multiplication. Matrix division is not defined. An
analogous operation is accomplished using the matrix inverse.

A

Matrix Algebra

17
Q

is one in which most of the elements are zero.

A

Sparse matrix

18
Q
A