## OperationsEdit

### Squaring a matrixEdit

```
a=[1 2;3 4];
a^2;
```

a^2 is the equivalent of a*a. To square each element:

```
a.^2
```

The period before the operator tells MATLAB to perform the operation element by element.

### DeterminantEdit

Getting the determinant of a matrix, requires that you first define your matrix, then run the function "det()" on that matrix, as follows:

```
a = [1 2; 3 4];
det(a)
ans = -2
```

#### Symbolic DeterminantEdit

You can get the symbolic version of the determinant matrix by declaring the values within the matrix as symbolic as follows:

```
m00 = sym('m00'); m01 = sym('m01'); m10 = sym('m10'); m11 = sym('m11');
```

or

```
syms m00 m01 m10 m11;
```

Then construct your matrix out of the symbolic values:

```
m = [m00 m01; m10 m11];
```

Now ask for the determinant:

```
det(m)
ans = m00*m11-m01*m10
```

### TransposeEdit

To find the transpose of a matrix all you do is place an apostrophe after the bracket. Transpose- switch the rows and columns of a matrix.

Example:

```
a=[1 2 3]
aTranspose=[1 2 3]'
```

or

```
b=a' %this will make b the transpose of a
```

when a is complex, the apostrophe means transpose and conjugate.

Example

```
a=[1 2i;3i 4];
a'=[1 -3i;-2i 4];
```

For a pure transpose, use .' instead of apostrophe.

## Systems of linear equationsEdit

There are lots of ways to solve these equations.

### Homogeneous SolutionsEdit

### Particular SolutionsEdit

### State Space EquationsEdit

## Special MatricesEdit

Often in MATLAB it is necessary to use different types of unique matrices to solve problems.

### Identity matrixEdit

To create an identity matrix (ones along the diagonal and zeroes elsewhere) use the MATLAB command "eye":

>>a = eye(4,3) a = 1 0 0 0 1 0 0 0 1 0 0 0

### Ones MatrixEdit

To create a matrix of all ones use the MATLAB command "ones"

a=ones(4,3)

Produces:

a = 1 1 1 1 1 1 1 1 1 1 1 1

### Zero matrixEdit

The "zeros" function produces an array of zeros of a given size. For example,

a=zeros(5,3)

Produces:

a = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

This type of matrix, like the ones matrix, is often useful as a "background", on which to place other values, so that all values in the matrix except for those at certain indices are zero.