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Théorie de l'univers échantillonné
3. Le principe d'incertitude de Heisenberg
That is the third analogy : in both Quantum Mechanics and Digital Signal Processing, that is impossible to know accurately both the position and the speed of a particle. When you know the position there is an uncertainty on the speed, and when you know the speed there is an uncertainty on the position.
 
That is not easy to understand it in Quantum Mechanics, as that is necessary to use advanced mathematics, but that is quite easy to understand it in Digital Signal Processing by using simple diagrams.
Mécanique Quantique
Traitement numérique du signal
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Version 1
February 8, 2007
Spatial Grid
Samples, at the intersections
of spatial and temporal grids
Time
Temporal Grid
Space
The Uncertainty Principle was discovered by Heisenberg in 1927.
 
It had important implications, as that was the end of determinism in science and in philosophy.
 
The philosophy of determinism was derived from science, from Newton's laws, and pre-Newtonian physics, in that the ability to predict future outcomes in the universe (such as future position of planets) was made possible by science.
In digital signal processing, when sampling the trajectory of a particle, we get a sampled trajectory which looks like a staircase, as the samples have to be placed on the spatial and temporal grids:
Real trajectory
of a real particle
Sampled
trajectory
Area of uncertainty
 
In the sampled universe, we have only samples (the green dots). Thus there is an approximation on the position of the real particle. The shaded area represents the area of uncertainty:
According to quantum mechanics, you couldn't measure both the position and the speed of a particle exactly.
Quantum mechanics took away predictability and therefore was a blow to philosophy.
 
According to science, that is necessary to know exactly both the speed and the position of every particle in order to predict the future. According to the Uncertainty Principle that is impossible, thus we cannot predict perfectly the behavior of particles and planets.
 
That is necessary to use advanced mathematics to demonstrate the Uncertainty Principle, and Quantum mechanics does not allow intuitive representations of its principles.
 
But by looking at the analogy with Digital Signal Processing presented on the right side, we can see easily how a quantification process is creating that kind of uncertainties in space and time.
 
The purpose of that analogy is to consider the possibility of an infinite universe behind our physical universe, which might be the spiritual universe.
 
Heisenberg himself had a similar intuition in his original paper in 1927: he was discussing the idea that there might exist a hidden reality behind the physical universe, but he said that the aim of physics is only to describe observable data, so he was not interested in digging further.
 
I have a different opinion: I consider that the aim of physics should be to unveil the ultimate reality of things, and there is no reason to believe that it is impossible without even trying.
 
So I am looking for ways to study that hidden reality.
 
That is not only a matter of pure knowledge, but also a matter of survival, as that kind of knowledge might unveil some of the deeper mysteries about life and death.
Heisenberg in 1927
Area of uncertainty
in position
Sample
Measuring the speed
 
If we want to predict the future trajectory of the particle, we have to know both its position and its speed. In order to know the speed, we have to measure the change in position versus time.

In the following example, we are measuring the speed of the particle for a change of position of 2Lu (units of length.)The uncertainty in position is 2Lu, as in order to know the speed we have to assume that the trajectory is linear, when it is not necessarily so:

Area of uncertainty 
in speed
Trajectory for the
maximum possible
speed
Trajectory for the
minimum possible
speed
Sample
Uncertainty 
in position
= 2 Lu
Tu (Unit of Time)
Lu 
(Unit of Length)
A better precision in speed, but a lower precision in position

In the following example, we measure the speed over 4 units of position, in order to have a better precision in speed. But we have a lower precision in position:

Area of uncertainty 
in speed
Trajectory for the
maximum possible
speed
Trajectory for the
minimum possible
speed
Sample
Uncertainty 
in position
= 4 Lu
Formulas

The following formulas are the classical formulas of Quantum Mechanics.

The formula of the uncertainty principle is:

 

Where

is the uncertainty in position

is the uncertainty in momentum

is the reduced Planck's constant

Now the momentum p is given by the formula

 

where

= momentum

= mass

= velocity

Hence

 

Therefore, when measuring the velocity with a higher accuracy, the accuracy in position deteriorates.

 p = mv
 p
 v
 m
Formulas
 
The following table shows the numerical values measured on the graphs above and the ensuing computations:
First graph
Second graph
Minimum speed
(1Lu) / (3Tu)
(3Lu) / (6Tu)
Maximum speed
(2Lu) / (3Tu)
(4Lu) / (6Tu)
Uncertainty
in speed
(1/3)  (Lu/Tu)
(1/6)  (Lu/Tu)
Uncertainty
in position
2Lu
4Lu
Product of
uncertainties
(2/3) Lu (Lu/Tu)
(2/3) Lu (Lu/Tu)
Hence
Comparing the formulas

Eventually we see that in both Quantum Mechanics and Digital Signal Processing, we have

That is the formula of the best possible accuracy. But we can of course decide to have a worse accuracy, hence the formula becomes:
Constant
Constant
The analogy is not perfect, as for Digital Signal Processing we are using a one dimensional space when in Quantum Mechanics space is  tri dimensional, and we did not introduce the notion of mass in Digital Signal Processing.
 
 

But the analogy points clearly to the fact that with the Sampling Universe Theory we have a relation of uncertainty similar to the Heisenberg Uncertainty Principle.

= Constant
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