# Fizlab (MyPhysicsLab.hu)

Differenciálegyenletek osztályozása

**This page is part
of the website prepared by Sándor Nagy with
kind permission from Erik Neumann
as a translation to Hungarian of his original site MyPhysicsLab—Physics
Simulation with Java.
**

Nagy Sándor megjegyzése: Ezt a lapot még nem volt időm magyarítani, de addig is jól jöhet valakinek. ♦ This page is planned to be but has not yet been translated to Hungarian.

When you study differential equations, it is kind of like botany. You learn to look at an equation and classify it into a certain group. The reason is that the techniques for solving differential equations are common to these various classification groups. And sometimes you can transform an equation of one type into an equivalent equation of another type, so that you can use easier solution techniques. Here then are some of the major classifications of differential equations:

## First Order, Second Order, etc.

The order of a differential equation is equal to the highest derivative in the equation. The single-quote indicates differention. So

*x*' is a first derivative, while

*x*'' is a second derivative.

*x*' = 1/*x* is first-order
*x*'' = −*x* is second-order
*x*'' + 2 *x*' + *x* = 0 is second-order
## Linear vs. Non-linear

Linear just means that the variable in an equation appears only with a power of one. So

*x* is linear but

*x*^{2} is non-linear. Also any function like

cos(*x*) is non-linear.

In math and physics,

*linear* generally means "simple" and

*non-linear* means "complicated". The theory for solving linear equations is very well developed because linear equations are simple enough to be solveable. Non-linear equations can usually not be solved exactly and are the subject of much on-going research. Here is a brief description of how to recognize a linear equation.

Recall that the equation for a line is

*y* = *m* *x* + *b*
where

*m*, *b* are constants (

*m* is the slope, and

*b* is the

*y*-intercept). In a differential equation, when the variables and their derivatives are only multiplied by constants, then the equation is linear. The variables and their derivatives must always appear as a simple first power. Here are some examples.

*x*'' + *x* = 0 is linear
*x*'' + 2x' + *x* = 0 is linear
*x*' + 1/*x* = 0 is non-linear because 1/*x* is not a first power
*x*' + *x*^{2} = 0 is non-linear because *x*^{2} is not a first power
*x*'' + sin(*x*) = 0 is non-linear because sin(*x*) is not a first power
*x* *x*' = 1 is non-linear because *x*' is not multiplied by a constant
Similar rules apply to multiple variable problems.

*x*' + *y*' = 0 is linear
*x* *y*' = 1 is non-linear because *y*' is not multiplied by a constant
Note, however, that an exception is made for the time variable

*t* (ie. the variable that we are differentiating by). We can have any function of

*t* appear in the equation, but still have an equation that is

*linear in **x*.

*x*'' + 2 *x*' + *x* = sin(*t*) is linear in *x*
*x*' + *t*^{2}*x* = 0 is linear in *x*
## Homogeneous vs. Non-homogeneous

This is another way of classifying differential equations. These fancy terms amount to the following: whether there is a term involving only time,

*t* (shown on the right hand side in equations below).

*x*'' + 2*x*' + *x* = 0 is homogeneous
*x*'' + 2*x*' + *x* = sin(*t*) is non-homogeneous
*x*' + *t*^{2}*x* = 0 is homogeneous
*x*' + *t*^{2}*x* = *t* + *t*^{2} is non-homogeneous
The non-homogeneous part of the equation is the term that involves only time. It usually corresponds to a

*forcing term* in the physical model. For example, in a driven pendulum it would be the motor that is driving the pendulum.