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This article explains the key points of manipulating MATLAB matrices when starting. Specifically, you’ll learn to:
 Create a matrix
 Define a matrix
 Get the dimensions of a matrix
 Inverse, transpose, and extract elements from a matrix and create the identity matrix
 Transpose a matrix
 Inverse of a matrix
 Define the identity matrix
 Extract data from a matrix
 Multiply matrices
 Square matrix
 Nonsquare matrix
 Multiply matrices element by element
Create a Matrix in MATLAB
Define a Matrix
Let’s start by defining matrices. The first thing to know is that you can separate rows by semicolons (;) and that you define rows by just placing elements next to one another. Then, use square brackets to mark the beginning and the end of your matrix. For example, let’s say you have the following matrix:
\(m=\begin{pmatrix}1 & 2\\3 & 4\end{pmatrix}\)
You can define it as the following in Matlab:
m = [1 2 ; 3 4];
Dimensions of a Matrix
You can find the dimension of a matrix by using the MATLAB command size. You can determine the number of rows and the number of columns of your matrix with the following:
numberOfRows = size(m, 1); numberOfColumns = size(m, 2);
in MATLAB, we get:
MATLAB Matrix: Inverse, Transpose, and Identity Matrix and Extracting Elements
The Transpose MATLAB Function
 Transpose matrix: you can use the transpose function in MATLAB by adding a single quotation mark at the end of your matrix:
m = [1 2 ; 3 4]; mTranspose = m';
In MATLAB, we get
 Transpose vector: this can be used to transform a row vector into a column vector as follows:
columnVector = rowVector'; % transform a row vector into a column vector
In this article, we focus on matrices in MATLAB, so we won’t get into much detail about vectors. If you want to learn more about vectors, see: MATLAB Vector Tutorial: Create, Add, Concatenate and Extract
The Inverse MATLAB Function
You can inverse a matrix by using the inv MATLAB command:
m = [1 2 ; 3 4]; mInverse = inv(m);
By definition, if we multiply those 2 matrices, we should get the identity matrix:
The Identity Matrix In MATLAB
You can define the identity matrix with the eye MATLAB function. For example, if you want to have a matrix function identity of three columns and three rows (\(I_3\)), you can write:
identityMatrix = eye(3); % identity square matrix 3x3
Extract Data from a Matrix
Sometimes, you will have to extract a row or a column from a matrix. Let’s say you have the following matrix:
\(A = \begin{pmatrix}1 & 2 & 3\\4 & 5 & 6\\7 & 8 & 9\end{pmatrix}\)
Defined in MATLAB as the following:
A = [1 2 3 ; 4 5 6 ; 7 8 9];
 Extract a column from a matrix: For example, if you have a matrix that has three columns and you want the second column, you can do the following:
C = A(:,2) % select all rows (:) and only the second column (2)
In MATLAB, we get
 Extract a row from a matrix: if you want to extract the second row, you can do the following:
R = A(2, :) % select only the second row (2) and all columns (:)
In MATLAB, we get
 Extract a smaller matrix: if you want a square matrix of two rows and two columns extracted from A, you can do the following:
smallerMatrix = A(1:2, 1:2); % extract columns and rows 1 to 2
You will then have the first two rows and the first two columns of your previous matrix:
 Remove a column or a row from a matrix: you can also remove data from a matrix such as a column or a row:
A(2, :)=[]; % remove the second row A(:, 2)=[]; % remove the second column
Note that the order matters since we are removing the second row of A:
Then, we remove the second column of that new matrix (which is not A as we defined it):
Matrix Multiplication In MATLAB
Multipliying Matrices in MATLAB: Square Matrix
 Code for matrix multiplication: you can multiply matrices in MATLAB by using the following:
A*B % classic matrix multiplication in MATLAB
 Example of matrix multiplication: if we have these matrices:
\(A = \begin{pmatrix}1 & 2 & 3\\4 & 5 & 6\\7 & 8 & 9\end{pmatrix}~~~~~~And~~~~~~B = \begin{pmatrix}2 & 0 & 0\\0 & 2 & 0\\0 & 0 & 2\end{pmatrix}\)
Let’s multiply them in MATLAB:
A = [1 2 3 ; 4 5 6 ; 7 8 9]; B = [2 0 0 ; 0 2 0 ; 0 0 2]; % = 2*identityMatrix A*B
Then, in MATLAB, we get
 Interpretation: according to MATLAB, AB=2A. This makes sense, since
\(B = \begin{pmatrix}2 & 0 & 0\\0 & 2 & 0\\0 & 0 & 2\end{pmatrix} = 2I_3 \implies A\times B = A\times 2I_3=2\times A\)
Multiplying Matrices With Vectors and NonSquare Matrices
 Reminder: you can also multiply nonsquare matrices with each other (e.g. a matrix with a vector). If you multiply a matrix P of dimensions (m x n) with a matrix V of dimensions (n x p) you’ll get a matrix of dimension (m x p).
 Example of nonsquare matrix multiplication: let’s say you have the following matrices:
\(P = \begin{pmatrix}1 & 2 & 3\\4 & 5 & 6\end{pmatrix}~~~~~~And~~~~~~V = \begin{pmatrix}1\\2\\3\end{pmatrix}\)
Then, P*V will be
\(P\times V = \begin{pmatrix}1 & 2 & 3\\4 & 5 & 6\end{pmatrix}\begin{pmatrix}1\\2\\3\end{pmatrix}=\begin{pmatrix}1\times 1 +2\times 2 + 3\times 3\\4\times 1+5\times 2 + 6\times 3\end{pmatrix}=\begin{pmatrix}14\\32\end{pmatrix}\)
 Nonsquare matrix multiplication in MATLAB: let’s try it:
P = [1 2 3 ; 4 5 6]; % P is a (2x3) matrix V = [1 ; 2 ; 3]; % V is a (3x1) non square matrix (or vector) P*V
We get
Since P is a (2×3) matrix and V is a (3×1) matrix, P*V is a (2×1) matrix.
Multiplying Matrices by Elements
 Reminder: you can also multiply matrices element by element. Let’s see how it works with the example of A and B:
\(A = \begin{pmatrix}1 & 2 & 3\\4 & 5 & 6\\7 & 8 & 9\end{pmatrix}~~~~~~And~~~~~~B = \begin{pmatrix}2 & 0 & 0\\0 & 2 & 0\\0 & 0 & 2\end{pmatrix}\)
Every element of the matrix A would be multiplied by the corresponding element in matrix B. In our example, we would have:
\(\begin{pmatrix}1 \times 2 & 2\times 0 & 3\times 0\\4\times 0 & 5\times 2 & 6\times 0\\7\times 0 & 8\times 0 & 9\times 2\end{pmatrix}=\begin{pmatrix}2 & 0 & 0\\ 0 & 10 & 0\\0 & 0 & 18\end{pmatrix}\)
which means that the matrices that are multiplied have to be of the same size.
 MATLAB matrix multiplication element by element: the elementwise matrix multiplication of A by B would be:
A = [1 2 3 ; 4 5 6 ; 7 8 9]; B = [2 0 0 ; 0 2 0 ; 0 0 2]; % = 2*identityMatrix A.*B
We get
Key takeaways:

 Create a matrix using the following:
m = [1 2 ; 3 4]; % separate columns by a space and rows by a semicolon
 Get the dimensions of a matrix using:
size(m, 1) % number of rows size(m, 2) % number of columns
 MATLAB matrix: transpose, inverse and identity matrix:
m = [1 2 ; 3 4]; mTranspose = m'; % transpose matrix mInverse = inv(m); % inverse matrix identityMatrix = eye(n); % identity square matrix (nxn)
 Extract data from a matrix:
A = [1 2 3 ; 4 5 6 ; 7 8 9]; C = A(:,2) % select all rows (:) and only the second column (2) R = A(2, :) % select only the second row (2) and all columns (:) smallerMatrix = A(1:2, 1:2); A(2, :)=[]; % remove the second row A(:, 2)=[]; % remove the second column
 Multiply a matrix: using A*B or A.*B for elementwise multiplication:
A*B % classic matrix multiplication A.*B % element by element matrix multiplication
 Create a matrix using the following: