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MATLAB - Algebra
  • 时间：2024-11-05

MATLAB - Algebra

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So far, we have seen that all the examples work in MATLAB as well as its GNU, alternatively called Octave. But for solving basic algebraic equations, both MATLAB and Octave are pttle different, so we will try to cover MATLAB and Octave in separate sections.

We will also discuss factorizing and simppfication of algebraic expressions.

Solving Basic Algebraic Equations in MATLAB

The solve function is used for solving algebraic equations. In its simplest form, the solve function takes the equation enclosed in quotes as an argument.

For example, let us solve for x in the equation x-5 = 0

solve( x-5=0 )

MATLAB will execute the above statement and return the following result −

ans =
   5

You can also call the solve function as −

y = solve( x-5 = 0 )

MATLAB will execute the above statement and return the following result −

y =
   5

You may even not include the right hand side of the equation −

solve( x-5 )

MATLAB will execute the above statement and return the following result −

ans =
   5

If the equation involves multiple symbols, then MATLAB by default assumes that you are solving for x, however, the solve function has another form −

solve(equation, variable)

where, you can also mention the variable.

For example, let us solve the equation v – u – 3t2 = 0, for v. In this case, we should write −

solve( v-u-3*t^2=0 ,  v )

MATLAB will execute the above statement and return the following result −

ans =
   3*t^2 + u

Solving Basic Algebraic Equations in Octave

The roots function is used for solving algebraic equations in Octave and you can write above examples as follows −

For example, let us solve for x in the equation x-5 = 0

roots([1, -5])

Octave will execute the above statement and return the following result −

ans = 5

You can also call the solve function as −

y = roots([1, -5])

Octave will execute the above statement and return the following result −

y = 5

Solving Quadratic Equations in MATLAB

The solve function can also solve higher order equations. It is often used to solve quadratic equations. The function returns the roots of the equation in an array.

The following example solves the quadratic equation x2 -7x +12 = 0. Create a script file and type the following code −

eq =  x^2 -7*x + 12 = 0 ;
s = solve(eq);
disp( The first root is:  ), disp(s(1));
disp( The second root is:  ), disp(s(2));

When you run the file, it displays the following result −

The first root is: 
   3
The second root is: 
   4

Solving Quadratic Equations in Octave

The following example solves the quadratic equation x2 -7x +12 = 0 in Octave. Create a script file and type the following code −

s = roots([1, -7, 12]);

disp( The first root is:  ), disp(s(1));
disp( The second root is:  ), disp(s(2));

When you run the file, it displays the following result −

The first root is: 
   4
The second root is: 
   3

Solving Higher Order Equations in MATLAB

The solve function can also solve higher order equations. For example, let us solve a cubic equation as (x-3)2(x-7) = 0

solve( (x-3)^2*(x-7)=0 )

MATLAB will execute the above statement and return the following result −

ans =
   3
   3
   7

In case of higher order equations, roots are long containing many terms. You can get the numerical value of such roots by converting them to double. The following example solves the fourth order equation x4 − 7x3 + 3x2 − 5x + 9 = 0.

Create a script file and type the following code −

eq =  x^4 - 7*x^3 + 3*x^2 - 5*x + 9 = 0 ;
s = solve(eq);
disp( The first root is:  ), disp(s(1));
disp( The second root is:  ), disp(s(2));
disp( The third root is:  ), disp(s(3));
disp( The fourth root is:  ), disp(s(4));

% converting the roots to double type
disp( Numeric value of first root ), disp(double(s(1)));
disp( Numeric value of second root ), disp(double(s(2)));
disp( Numeric value of third root ), disp(double(s(3)));
disp( Numeric value of fourth root ), disp(double(s(4)));

When you run the file, it returns the following result −

The first root is: 
6.630396332390718431485053218985
 The second root is: 
1.0597804633025896291682772499885
 The third root is: 
- 0.34508839784665403032666523448675 - 1.0778362954630176596831109269793*i
 The fourth root is: 
- 0.34508839784665403032666523448675 + 1.0778362954630176596831109269793*i
Numeric value of first root
   6.6304
Numeric value of second root
   1.0598
Numeric value of third root
   -0.3451 - 1.0778i
Numeric value of fourth root
   -0.3451 + 1.0778i

Please note that the last two roots are complex numbers.

Solving Higher Order Equations in Octave

The following example solves the fourth order equation x4 − 7x3 + 3x2 − 5x + 9 = 0.

Create a script file and type the following code −

v = [1, -7,  3, -5, 9];
s = roots(v);

% converting the roots to double type
disp( Numeric value of first root ), disp(double(s(1)));
disp( Numeric value of second root ), disp(double(s(2)));
disp( Numeric value of third root ), disp(double(s(3)));
disp( Numeric value of fourth root ), disp(double(s(4)));

When you run the file, it returns the following result −

Numeric value of first root
 6.6304
Numeric value of second root
-0.34509 + 1.07784i
Numeric value of third root
-0.34509 - 1.07784i
Numeric value of fourth root
 1.0598

Solving System of Equations in MATLAB

The solve function can also be used to generate solutions of systems of equations involving more than one variables. Let us take up a simple example to demonstrate this use.

Let us solve the equations −

5x + 9y = 5

3x – 6y = 4

Create a script file and type the following code −

s = solve( 5*x + 9*y = 5 , 3*x - 6*y = 4 );
s.x
s.y

When you run the file, it displays the following result −

ans =
   22/19
ans =
   -5/57

In same way, you can solve larger pnear systems. Consider the following set of equations −

x + 3y -2z = 5

3x + 5y + 6z = 7

2x + 4y + 3z = 8

Solving System of Equations in Octave

We have a pttle different approach to solve a system of n pnear equations in n unknowns. Let us take up a simple example to demonstrate this use.

Let us solve the equations −

5x + 9y = 5

3x – 6y = 4

Such a system of pnear equations can be written as the single matrix equation Ax = b, where A is the coefficient matrix, b is the column vector containing the right-hand side of the pnear equations and x is the column vector representing the solution as shown in the below program −

Create a script file and type the following code −

A = [5, 9; 3, -6];
b = [5;4];
A  b

When you run the file, it displays the following result −

ans =

   1.157895
  -0.087719

In same way, you can solve larger pnear systems as given below −

x + 3y -2z = 5

3x + 5y + 6z = 7

2x + 4y + 3z = 8

Expanding and Collecting Equations in MATLAB

The expand and the collect function expands and collects an equation respectively. The following example demonstrates the concepts −

When you work with many symbopc functions, you should declare that your variables are symbopc.

Create a script file and type the following code −

syms x   %symbopc variable x
syms y   %symbopc variable x
% expanding equations
expand((x-5)*(x+9))
expand((x+2)*(x-3)*(x-5)*(x+7))
expand(sin(2*x))
expand(cos(x+y))
 
% collecting equations
collect(x^3 *(x-7))
collect(x^4*(x-3)*(x-5))

When you run the file, it displays the following result −

ans =
   x^2 + 4*x - 45
ans =
   x^4 + x^3 - 43*x^2 + 23*x + 210
ans =
   2*cos(x)*sin(x)
ans =
   cos(x)*cos(y) - sin(x)*sin(y)
ans =
   x^4 - 7*x^3
ans =
   x^6 - 8*x^5 + 15*x^4

Expanding and Collecting Equations in Octave

You need to have symbopc package, which provides expand and the collect function to expand and collect an equation, respectively. The following example demonstrates the concepts −

When you work with many symbopc functions, you should declare that your variables are symbopc but Octave has different approach to define symbopc variables. Notice the use of Sin and Cos, which are also defined in symbopc package.

Create a script file and type the following code −

% first of all load the package, make sure its installed.
pkg load symbopc

% make symbols module available
symbols

% define symbopc variables
x = sym ( x );
y = sym ( y );
z = sym ( z );

% expanding equations
expand((x-5)*(x+9))
expand((x+2)*(x-3)*(x-5)*(x+7))
expand(Sin(2*x))
expand(Cos(x+y))
 
% collecting equations
collect(x^3 *(x-7), z)
collect(x^4*(x-3)*(x-5), z)

When you run the file, it displays the following result −

ans =

-45.0+x^2+(4.0)*x
ans =

210.0+x^4-(43.0)*x^2+x^3+(23.0)*x
ans =

sin((2.0)*x)
ans =

cos(y+x)
ans =

x^(3.0)*(-7.0+x)
ans =

(-3.0+x)*x^(4.0)*(-5.0+x)

Factorization and Simppfication of Algebraic Expressions

The factor function factorizes an expression and the simppfy function simppfies an expression. The following example demonstrates the concept −

Example

Create a script file and type the following code −

syms x
syms y
factor(x^3 - y^3)
factor([x^2-y^2,x^3+y^3])
simppfy((x^4-16)/(x^2-4))

When you run the file, it displays the following result −

ans =
   (x - y)*(x^2 + x*y + y^2)
ans =
   [ (x - y)*(x + y), (x + y)*(x^2 - x*y + y^2)]
ans =
   x^2 + 4
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