- Defined matrix operations
- Matrix multiplication dimensions
- Intro to identity matrix
- Intro to identity matrices
- Dimensions of identity matrix
- Is matrix multiplication commutative?
- Associative property of matrix multiplication
- Zero matrix & matrix multiplication
- Properties of matrix multiplication
- Using properties of matrix operations
- Using identity & zero matrices
Intro to identity matrices
Learn what an identity matrix is and about its role in matrix multiplication.
What you should be familiar with before taking this lesson
A matrix is a rectangular arrangement of numbers into rows and columns.
The dimensions of a matrix tell the number of rows and columns of the matrix in that order. Since matrix has rows and columns, it is called a matrix.
If this is new to you, we recommend that you check out our intro to matrices.
In matrix multiplication, each entry in the product matrix is the dot product of a row in the first matrix and a column in the second matrix.
If this is new to you, we recommend that you check out our matrix multiplication article.
Definition of identity matrix
The identity matrix, denoted , is a matrix with rows and columns. The entries on the diagonal from the upper left to the bottom right are all 's, and all other entries are .
The identity matrix plays a similar role in operations with matrices as the number plays in operations with real numbers. Let's take a look.
Investigation: Multiplying by the identity matrix
Try a few multiplication problems involving the appropriate identity matrix.
1) and .
2) and .
The product of any square matrix and the appropriate identity matrix is always the original matrix, regardless of the order in which the multiplication was performed! In other words, .
Connections to the real numbers
The identity matrix plays a similar role to what the number plays in the real number system.
|The number||The identity matrix|
|The product of and any number is .||The product of a square matrix and the appropriate identity matrix is .|
Two real numbers whose product is the multiplicative identity are called multiplicative inverses. For example, the numbers and are multiplicative inverses because and .
In fact, all nonzero real numbers have multiplicative inverses. But does this connection hold with matrix operations?
Consider matrices and .
We can multiply to see that and .
This means that and are multiplicative inverses.
However, as we will see, not all matrices have multiplicative inverses. This is one place where the properties of real numbers differ from the properties of matrices!
Want to join the conversation?
- How do you find the multiplicative inverse of a matrix?(29 votes)
- How do you find the identity matrix for a matrix that is not n by n?(17 votes)
- If you have a matrix that is 2x3, the identity matrix will be 3x3 and look like this:
1 0 0
0 1 0
0 0 1
If you have a 3x2, the identity will be 2x2 and look like this
You can try these out by your own example. The important part is that the multiplication is defined.(14 votes)
- I think this phrase is not precise:
The product of 'any matrix' and the appropriate identity matrix is always the original matrix, regardless of the order in which the multiplication was performed! In other words,
I think this only work when the matrix A is square matrix.
For example, we have a 3x2 matrix. To make the statement A*I=A to be true, the identity matrix need to be 2x2 matrix. But to make the statement I*A=A to be true, the identity matrix in this case need to be a 3x3 matrix. You can see these two matrices are not equal.(16 votes)
- You are correct. In your 3rd paragraph, you show a right identity matrix such that AI=A and a left identity matrix (IA=A). The right and left identity matrices are equal only if A is square matrix. Nice catch(10 votes)
- What is the use of identity matrix? IA = A .... and why do we do that?(3 votes)
- It's useful when you're solving for messy calculations. For example, If you have A + NA + MA, you could just simply do A(I + N + M) which makes the calculation a lot easier. Also, the product of A and A^-1 is I so that's kinda important.
Hope this helps! If you have any questions or need help, please ask! :)(9 votes)
- How do you find the multiplicative inverse of a given matrix?
I guess you could create a system of equation with 4 equations and variables and solve (for a 2*2 matrix). But that seems too lengthy.
Is there an easier way?(3 votes)
- Make two columns, with your given matrix on the left and an identity matrix of the same size on the right.
Perform row operations on the matrices. The rule is, whatever operation you do to the left matrix, you must simultaneously do to the right matrix. e.g. if you multiply the top row of your matrix by 5, you must multiply the top row of the identity matrix by 5.
Do row operations until you have an identity matrix on the left. The matrix on the right will be the inverse of your original matrix.
This is still rather computationally intensive, but that's just a fact of life. Matrix inversion is a computationally difficult task, and there is not always a way to simplify something further.(3 votes)
- Can anyone give an example of a matrix without a multiplicative inverse?
I understand the idea but would like to see one and think about it.(3 votes)
- Those whose determinant is equal to zero for example.(1 vote)
- can we have I matrix with dimensions 1*1?
if yes , how we can write it ?(1 vote)
- Yes. It would be written 
- is matrices just the plural version of a matrix?(2 votes)
- Yup. same as vertex has the plural vertices.(2 votes)
- Could you have multiplicative inverses on two matrices that have different dimensions i.e a 2x3 matrix multiplied a 3x2 matrix that results in the identity matrix?(2 votes)
- Certainly. Invertible matrices are an important part of linear algebra. Just know that matrices are only properly invertible if they are square matrices. So there is no pair of 2x3 and 3x2 matrices that multiply to an identity matrix in both directions.(1 vote)
- What is the difference between left and right identity matrices?(1 vote)
- If one has a matrix A which is mxn, then the left identity matrix is mxm such that IA=A and the right identity matrix is nxn such that AI=A.(1 vote)