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

Short Answer

Expert verified
The dimension is 2×2. It is a square matrix.

Step by step solution

01

- Identify the Number of Rows

Count the number of horizontal lines of elements (rows). This matrix has 2 rows.
02

- Identify the Number of Columns

Count the number of vertical lines of elements (columns). This matrix has 2 columns.
03

- Determine the Dimension

Combine the number of rows and columns to find the dimension. The dimension of the matrix is given as rows × columns. So, this matrix is 2×2.
04

- Identify Matrix Type

A square matrix has the same number of rows and columns. Since this matrix is 2×2, it is square. It is not strictly a row or column matrix because it has more than one row and one column.

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Key Concepts

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

matrix types
Matrices come in different types based on their dimensions and the arrangement of their elements. Understanding these types is fundamental in linear algebra. Here are the main types of matrices you will encounter:
  • Row Matrix: A matrix with only one row.
  • Column Matrix: A matrix with only one column.
  • Square Matrix: A matrix with the same number of rows and columns.
  • Rectangular Matrix: A matrix with different numbers of rows and columns.
Recognizing these types helps in determining the appropriate operations and solutions for different mathematical problems.
row matrix
A row matrix is a matrix that consists of a single row of elements. It’s a special type of matrix where the number of rows is 1, and the number of columns can be any positive integer. For instance, the following matrix is a row matrix: \[ \left[\begin{array}{ccc} 4 & -5 & 3 \end{array}\right] \] Here, you can see there is just one row and three columns. This kind of matrix is particularly useful when you are working with vectors in linear algebra, representing data points, or performing operations like addition, subtraction, and multiplication involving row vectors.
column matrix
A column matrix features only one column of elements. This means the matrix has just one column but can have multiple rows. For example: \[ \left[\begin{array}{r} 7 \ -2 \ 5 \end{array}\right] \] This matrix has three rows and one column, making it a column matrix. Column matrices are frequently used to represent vectors. They are helpful in various computations and transformations in linear algebra and other fields requiring matrix operations. Each element in a column matrix can be seen as an entry in a vector.
square matrix
A square matrix has an equal number of rows and columns. This symmetry makes square matrices exceptionally important in many areas of mathematics, particularly in solving systems of linear equations and in performing operations like finding determinants or eigenvalues. An example of a square matrix is: \[ \left[\begin{array}{rr} -4 & 8 \ 2 & 3 \end{array}\right] \] This matrix is 2×2, meaning it has 2 rows and 2 columns. Square matrices can be of any size (n×n), and their properties make them particularly useful in advanced mathematical computations and theoretical work.

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Most popular questions from this chapter

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