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Concept Check Find the dimension of each matrix. Identify any square, column, or row matrices. $$\left[\begin{array}{rrrr} -6 & 8 & 0 & 0 \\ 4 & 1 & 9 & 2 \\ 3 & -5 & 7 & 1 \end{array}\right]$$

Short Answer

Expert verified
The matrix is 3x4 and is neither a square, row, nor column matrix.

Step by step solution

01

- Identify the number of rows

Count the number of horizontal lines of elements. There are 3 horizontal lines, hence 3 rows.
02

- Identify the number of columns

Count the number of vertical lines of elements. There are 4 vertical lines, hence 4 columns.
03

- Determine the dimension

Combine the number of rows and columns. The dimension of the matrix is 3x4 (3 rows and 4 columns).
04

- Identify if the matrix is square

A square matrix has the same number of rows and columns. Since this matrix has 3 rows and 4 columns, it is not square.
05

- Identify if the matrix is a row matrix

A row matrix has only one row. This matrix has 3 rows, so it is not a row matrix.
06

- Identify if the matrix is a column matrix

A column matrix has only one column. This matrix has 4 columns, so it is not a column matrix.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Row Matrix
A row matrix is a special type of matrix that has only one row. This means all the elements are lined up horizontally in a single row.
For example, the matrix \(\begin{array}{cccc} 4 & 5 & 6 & 7 \end{array}\) is a row matrix.
It has just one row and four different elements.
You will also notice it does not have multiple horizontal lines, making it distinct.
Row matrices are useful in various mathematical operations. They can represent coefficients in linear equations or be used in computer graphics.
To recognize a row matrix, simply check the number of horizontal lines. If there's only one, it’s a row matrix.
In our original exercise, the matrix with 3 rows and 4 columns is not a row matrix.
This is because it has more than one row.
Column Matrix
A column matrix, as the name suggests, is a matrix that has only one column.
This means all elements are arranged vertically in a single column.
For instance, let's look at \(\begin{array}{c} 3 \ 7 \ 9 \end{array}\).
This is a column matrix with three elements stacked one above the other.
Column matrices are pivotal in various fields such as statistics, physics, and economics.
They often represent vectors, which are crucial in understanding many concepts in these disciplines.
When trying to identify a column matrix, simply check the number of vertical lines. If there's only one, that's your column matrix.
Referring to our original exercise, the matrix with 3 rows and 4 columns is not a column matrix.
This is because it has more than one column.
Square Matrix
A square matrix is a type of matrix that has an equal number of rows and columns.
For example, \(\begin{array}{ccc} 1 & 2 & 3 \ 4 & 5 & 6 \ 7 & 8 & 9 \end{array}\) is a square matrix because it has 3 rows and 3 columns.
This property makes square matrices very special and they appear frequently in various branches of mathematics and engineering.
They are essential in operations such as finding determinants, eigenvalues, and solving linear equations.
To identify a square matrix, count the rows and columns. If the numbers are the same, that’s a square matrix.
Returning to our original exercise, the matrix provided is not a square matrix.
With 3 rows and 4 columns, the row and column count do not match.

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