1
00:00:03,560 --> 00:00:09,050
A differential equation is an equation that relates one or more functions together, and the derivatives,

2
00:00:09,320 --> 00:00:14,840
many processes that occur in the real world can be expressed as differential equations.

3
00:00:15,350 --> 00:00:17,510
Now, these processes occur in nature.

4
00:00:17,520 --> 00:00:22,340
They occur in physics, biology, economics, engineering and many other areas.

5
00:00:23,060 --> 00:00:29,450
Isaac Newton invented calculus, and he used it to describe classical mechanics to express the relationship

6
00:00:29,450 --> 00:00:35,400
between precision, velocity and acceleration as a differential equation with respect to time.

7
00:00:36,080 --> 00:00:42,050
What this means, for example, is that if P represents the position of the object, then is velocity.

8
00:00:42,050 --> 00:00:48,890
V is how quickly the position is changing with time, i.e. the velocity V is the derivative of the position.

9
00:00:48,890 --> 00:00:52,910
P The same thing can be said about acceleration and velocity.

10
00:00:53,150 --> 00:00:59,210
Acceleration is the derivative of versity with respect to time, and it is the second derivative of

11
00:00:59,210 --> 00:01:01,190
position p with respect to time.

12
00:01:01,640 --> 00:01:06,290
And these specific equations are commonly referred to as the equations of motion.

13
00:01:06,770 --> 00:01:10,750
Differential equations can be broken down into two different types.

14
00:01:10,760 --> 00:01:16,520
There are ordinary differential equations or Odie's and there are partial differential equations.

15
00:01:16,700 --> 00:01:24,620
PDS, ordinary differential equations are an equation that contain only a single variable and is derivatives.

16
00:01:25,080 --> 00:01:29,270
Most problems encountered in physics are ordinary differential equations.

17
00:01:29,270 --> 00:01:35,480
For example, the equations of motion are all a function of derivatives of a single variable of precision.

18
00:01:36,410 --> 00:01:43,970
Heat is the independent variable and in the position, velocity and acceleration are dependent variables

19
00:01:43,970 --> 00:01:45,210
as they depend on time.

20
00:01:46,100 --> 00:01:52,010
These are the types of differential equations which we will focus on for data fusion and state estimation,

21
00:01:52,250 --> 00:01:56,210
as we usually want to track how variables evolve over time.

22
00:01:56,420 --> 00:02:02,960
With time being the independent variable, partial differential equations are equations that contain

23
00:02:02,960 --> 00:02:04,880
multiple variables and attributes.

24
00:02:05,420 --> 00:02:12,110
An example of this is the first equation which is used in many areas of physics, such as heat transfer

25
00:02:12,110 --> 00:02:13,220
and fluid dynamics.

26
00:02:14,150 --> 00:02:18,920
The equation order of a differential equation is determined by as highest derivative.

27
00:02:19,310 --> 00:02:25,560
If an equation only contains the first order derivatives, then it is a first order differential equation.

28
00:02:25,910 --> 00:02:30,650
Likewise, if it contains second order derivatives, then it is a second order differential equation.

29
00:02:32,010 --> 00:02:38,190
So going back to our equations of motion, the first equation for velocity is a first order differential

30
00:02:38,190 --> 00:02:44,760
equation, while the equation for acceleration is a second order differential equation, a linear system

31
00:02:44,760 --> 00:02:48,330
is a system that is output changes proportional to the input.

32
00:02:48,600 --> 00:02:51,000
And a nonlinear system is one that does not.

33
00:02:51,990 --> 00:02:56,250
Linear equations conform to the properties of an activity and homogeneity.

34
00:02:56,670 --> 00:03:02,940
A.R.T. just means that for a function, if you get the same result, if the inputs you and V added together

35
00:03:02,940 --> 00:03:09,090
before the function is evaluated, or if you evaluate the function separately with you and V and add

36
00:03:09,090 --> 00:03:10,650
the results together afterwards.

37
00:03:11,660 --> 00:03:17,060
Homogeneity just means that if the input is scaled, then it is the same as scaling the output of the

38
00:03:17,060 --> 00:03:22,790
function, a linear, ordinary differential equation means that both sides of the equation are linear,

39
00:03:22,790 --> 00:03:25,630
combination, order, dependent variables and derivatives.

40
00:03:26,060 --> 00:03:29,450
So most linear odors can be written in the following form.

41
00:03:30,200 --> 00:03:31,640
So here are two examples.

42
00:03:31,640 --> 00:03:33,730
One linear one and one non-linear one.

43
00:03:34,100 --> 00:03:39,770
The first one is linear as is dependent variable y and its derivatives are only linear combination of

44
00:03:39,770 --> 00:03:40,270
each other.

45
00:03:40,730 --> 00:03:47,120
While the second example is non-linear as the dependent variable Y is placed inside the nonlinear sine

46
00:03:47,120 --> 00:03:47,600
function.

47
00:03:47,930 --> 00:03:50,870
So the equation is no longer just a linear combination.
