Problem 4
Question
The \(n\) x \(n\) matrix consisting of 1's on its main diagonal and 0's elsewhere is called the ________ matrix of order \(n\) x \(n\).
Step-by-Step Solution
Verified Answer
The matrix described is known as the Identity matrix of order n x n.
1Step 1: Understanding the Matrix Type
A square matrix, of order n x n, having all of its main diagonal elements as 1 and all off-diagonal elements as 0 is known as an Identity matrix.
2Step 2: Analyzing the Matrix
If we have a square matrix where the elements on the main diagonal are all 1's (meaning the elements in positions (i,i) for i = 1 to n) and all the other elements are 0's, then this matrix matches the definition of an Identity matrix.
Key Concepts
Square MatrixMain Diagonal ElementsMatrix Order
Square Matrix
Understanding the structure and type of matrices is crucial for mastering linear algebra. A square matrix is a term that reflects a very symmetric kind of matrix. It's named for its shape, as it has the same number of rows and columns – think of it like a square in geometry. Imagine drawing a grid where you count the same number of boxes across and down. That's what we mean when we talk about a square matrix.
Mathematically, in an n by n square matrix, 'n' represents the number of rows and columns. This creates a tidy, neat pattern of cells, ready for numbers to fill them. For instance, if you see a matrix described as 3 by 3, it's a square matrix with 9 positions inside for numbers to live.
Mathematically, in an n by n square matrix, 'n' represents the number of rows and columns. This creates a tidy, neat pattern of cells, ready for numbers to fill them. For instance, if you see a matrix described as 3 by 3, it's a square matrix with 9 positions inside for numbers to live.
- Easy to visualize: Think of a chessboard, which is an 8 by 8 square matrix.
- Key property: Square matrices are the foundation for many concepts in linear algebra, including the important identity matrix.
Main Diagonal Elements
Next, let's zoom in on a specific part of a square matrix called the main diagonal. If you imagine drawing a line from the top-left corner to the bottom-right corner of your square matrix, this line would pass through what we call the main diagonal elements. To identify these main players in the matrix world, remember it's a straight path from the very first row and column, making its way down to the last row and column, linking elements that share both row and column number (like (1,1), (2,2), (3,3), and so on in a 3 by 3 matrix).
Why are the main diagonal elements important?
Why are the main diagonal elements important?
- They play starring roles in certain types of matrices, like identity matrices where they're all 1's.
- In mathematical computations, they contribute to functions such as determining the trace or calculating determinants of square matrices.
Matrix Order
When people talk about the order of a matrix, they're not discussing how neatly numbers are arranged inside it or any sort of hierarchy. Order in matrix terminology is all about size – specifically, how many rows and columns there are. It's a way to categorize matrices so we can quickly understand their shape and potential use in equations or functions.
An easy tip to remember is that when you hear someone say 'This is a 4 by 4 matrix,' what they mean is the 'order' of the matrix is 4 by 4, shorthand for 4 rows and 4 columns. It's like the matrix's label or size tag.
An easy tip to remember is that when you hear someone say 'This is a 4 by 4 matrix,' what they mean is the 'order' of the matrix is 4 by 4, shorthand for 4 rows and 4 columns. It's like the matrix's label or size tag.
- Why does it matter? The order of a matrix guides us on how to properly perform operations like addition, subtraction, and multiplication with other matrices.
- Interesting note: Only square matrices can house an identity matrix because it requires that same number of rows and columns to have a valid main diagonal where those special 1's reside.
Other exercises in this chapter
Problem 4
A message written according to a secret code is called a ________.
View solution Problem 4
If \(A\) is an invertible matrix, the system of linear equations represented by \(AX=B\) has a unique solution given by \(X =\) ________.
View solution Problem 4
A matrix with only one row is called a ________ matrix, and a matrix with only one column is called a ________ matrix.
View solution Problem 5
In Exercises 5-20, find the determinant of the matrix. \([4]\)
View solution