Thought I had on the nature of randomness.

In summary, the conversation discusses the concept of chaos and how it may actually be an example of information loss. Classical physics and common sense suggest that the universe operates according to a set of constant rules, which would allow for 100% accurate predictions if all data was known. However, quantum mechanics introduces the idea of randomness, making it impossible to create a perfect model. The idea is proposed that chaos is simply the result of missing information, and if this information could be retrieved, a more accurate model could be created. Some thoughts on this include the idea that the missing information may not be lost, but rather transported elsewhere, and that it would require tracking all data at once to achieve a higher level of accuracy.
  • #1
ebon
3
0
I have been thinking about the nature of chaos recently and thought of a different way of looking at it. What if "chaos" is really an example of information loss? My rational goes something like this:

*classical physics as well as "common sense" suggests that the universe is run by a set of constant rules. From this we can guess that a total knowledge of all the various rules/factors involved in an event would allow us to make predictions about it that are 100% accurate. Basically if you compile a list of all the data to be found in an event(spin,temp,momentum,charge etc) you could then create a perfect model but...

*quantum mechanics counter-intuitively suggests that it is impossible to create a 100% perfect model because there will always be a certain amount of randomness involved in any given process.

This got me thinking that maybe "chaos" is really just information loss. Perhaps a key piece of data is lost for whatever reason thus leading to an imperfect model. We however look at this missing data and shout chaos!. So all we need to do is find a way to retrieve this lost data. Of course maybe the data is irretrievable making my distinction largely academic.

Any thoughts on this?
 
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  • #2
1 Not all QM interpretations include randomness
2 In QM information is not lost
 
  • #3
Also, chaos is -by definition- not random.
At least not if you by "chaos" mean the mathematical concept.
Chaotic systems are sensitive to perturbations, but the equations describing them are -at least in principle- completely deterministic.
 
  • #4
ebon said:
Any thoughts on this?

Some thoughts on this.
In chaotic process some information lose significance and some information gain significance. If we consider that there is always some lower limit of significance that we can detect (and probably upper level too) then information that cross this border is either lost or is appearing from nowhere (even if process is deterministic).
Good model will address this issue adequately and will maintain it's usability.
And it seems to me that any model describing natural process taken strictly is imperfect in this sense but it does not mean that it is possible to make perfect model.
 
  • #5
ebon said:
I have been thinking about the nature of chaos recently and thought of a different way of looking at it. What if "chaos" is really an example of information loss? My rational goes something like this:

*classical physics as well as "common sense" suggests that the universe is run by a set of constant rules. From this we can guess that a total knowledge of all the various rules/factors involved in an event would allow us to make predictions about it that are 100% accurate. Basically if you compile a list of all the data to be found in an event(spin,temp,momentum,charge etc) you could then create a perfect model but...

*quantum mechanics counter-intuitively suggests that it is impossible to create a 100% perfect model because there will always be a certain amount of randomness involved in any given process.

This got me thinking that maybe "chaos" is really just information loss. Perhaps a key piece of data is lost for whatever reason thus leading to an imperfect model. We however look at this missing data and shout chaos!. So all we need to do is find a way to retrieve this lost data. Of course maybe the data is irretrievable making my distinction largely academic.

Any thoughts on this?

I had the same thought as you and phrased it "When the universe does not have an answer, but is asked to give one nevertheless, then it can only give a random answer because any other answer would be wrong"
 
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  • #6
And, why, then, would a random answer not be wrong?
 
  • #7
You can't LOSE information in quantum mecanics, but maybe your logic could have some validness if instead of being lost it, the information would naturally move, being transported place to place (maybe by fotons).
By that logic, if you could find out how does the information escape and where it goes you could achieve a much higher percentage of exatness, however you would have to look at an atom and everything around it at the same time and track the info.
 

1. What is randomness?

Randomness refers to the lack of pattern or predictability in a sequence of events or data. It is a fundamental concept in mathematics, statistics, physics, and other scientific fields.

2. Can randomness be measured?

Yes, randomness can be measured using various statistical tests and measures. One popular measure is entropy, which quantifies the amount of uncertainty or randomness in a system.

3. Is randomness truly random?

This is a philosophical question and the answer depends on one's interpretation of randomness. Some scientists argue that true randomness exists in quantum mechanics, while others argue that randomness is just a result of our lack of knowledge and understanding of a system.

4. How does randomness play a role in scientific research?

Randomness is often used in scientific research to ensure unbiased results. Random sampling and random assignment are commonly used techniques to minimize the influence of confounding variables and increase the generalizability of research findings.

5. Can randomness be controlled or manipulated?

In a sense, randomness can be controlled or manipulated through the use of random number generators. However, true randomness cannot be controlled or predicted, as it is inherently unpredictable and lacks a discernible pattern.

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