Determinism: mathematical models

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Discussion Overview

The discussion revolves around the concept of determinism in mathematical models, particularly in relation to differential equations. Participants explore various forms of determinism, questioning whether they can be expressed through differential equations or if alternative mathematical frameworks exist. The scope includes theoretical considerations and mathematical reasoning.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that determinism, as defined by the prior state determining the next state, has been historically tied to differential equations since Newton's time.
  • Others propose that discrete-time systems can be described by difference equations, which differ from traditional differential equations.
  • There is mention of systems with memory effects that cannot be captured by standard differential equations, suggesting alternative formulations may exist.
  • Deterministic cellular automata are discussed as potential models of determinism that may not fit into the framework of differential equations.
  • Some participants raise the idea of random processes that can yield deterministic outcomes at certain stages, questioning if these fit into the broader definition of determinism.
  • Chaos theory is brought up as a potential relevant topic, although some express skepticism about its applicability to the discussion of determinism.
  • There is a call for a mathematical description of determinism that cannot be reduced to differential equations, or a proof that such a description is impossible.

Areas of Agreement / Disagreement

Participants express a range of views on the nature of determinism and its mathematical representations. There is no consensus on whether alternative forms of determinism exist outside of differential equations, and the discussion remains unresolved regarding the applicability of various mathematical frameworks.

Contextual Notes

Participants note limitations in defining differential equations and the scope of determinism, with some suggesting that definitions may vary based on context. The discussion also highlights the complexity of systems with memory effects and the implications of randomness in deterministic outcomes.

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Ever since Newton, determinism - i.e. the concept that the prior state of a system determines the next state of the system - has become an integral part of science, in particular of physics. This is particularly because Newton invented a mathematization of the concept of change: the calculus; in doing so he did much more.

Applying this new form of mathematics to study changes of physical phenomenon, Newton discovered that the concept of motion follows very strict mathematical laws; this essentially was the discovery of the laws of physics. The laws of physics have since then always come to us in the form of differential equations (or generalizations thereof).

To make a long story short, differential equations - or any abstractions thereof or of descriptive functions where the input and outputs reside in the same space - are the prototypical mathematical implementation (or 'mathematization') of the concept of determinism.

My question is, is anyone familiar with other forms of determinism which can definitively not be reduced to or be shown to be equivalent to differential equations in any sense, not even in principle?
 
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If we have a discrete-time system, where the time variable jumps forward in constant steps, then it would be a difference equation.

A system with memory effects, like a particle acted on by a force field that depends on where the particle was 1 second ago and not on its current position, is not described by a differential equation (if a DE is defined in the usual way). It can be formally written like a DE that has time derivatives of arbitrarily high order in it.
 
Auto-Didact said:
My question is, is anyone familiar with other forms of determinism which can definitively not be reduced to or be shown to be equivalent to differential equations in any sense, not even in principle?

(Deterministic) cellular automata?

hilbert2 said:
A system with memory effects, like a particle acted on by a force field that depends on where the particle was 1 second ago and not on its current position, is not described by a differential equation (if a DE is defined in the usual way). It can be formally written like a DE that has time derivatives of arbitrarily high order in it.

It can also be written (rigorously, not just formally) as a DE in a Banach space (of infinite dimension).
 
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hilbert2 said:
If we have a discrete-time system, where the time variable jumps forward in constant steps, then it would be a difference equation.

...if a DE is defined in the usual way
I am not defining DEs in the usual way, but instead including all similar concepts such as difference equations, recurrence relations, iterative maps, dynamical systems, and other commonly employed mathematical abstractions used in physics and applied mathematics.
S.G. Janssens said:
(Deterministic) cellular automata?
This is more in line with what I'm envisioning, but as far as I can tell deterministic cellular automata are outputs which function by producing more outputs based on inputs of their local environment. In other words, they are themselves solutions to some functions representative of what I'm arbitrarily calling DEs.
 
What about random processes whose result at some stage has probability one? Or whose average approaches some other process as a limit (e.g. the Central Limit Theorem)?
 
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hilbert2 said:
If we have a discrete-time system. . .
Well, we might . . . but how would you ever know (measure it?) ??

hilbert2 said:
. . .where the time variable jumps forward in constant steps. . .
That makes me think about the guy with the arrow. . . . :olduhh:

.
 
Is it relevant to bring in Chaos here?
 
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FactChecker said:
What about random processes whose result at some stage has probability one? Or whose average approaches some other process as a limit (e.g. the Central Limit Theorem)?
Elaborate?
sophiecentaur said:
Is it relevant to bring in Chaos here?
As much as I love chaos, I'm afraid it isn't.

What I'm looking for is some other mathematical description of determinism, which cannot be reduced to being equivalent to DEs, or else a proof that such another mathematical description is impossible, i.e. that the class of deterministic conceptualizations = the class of objects which fall under my non-standard DE moniker.
 
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FactChecker said:
What about random processes whose result at some stage has probability one? Or whose average approaches some other process as a limit (e.g. the Central Limit Theorem)?
Auto-Didact said:
Elaborate?
I'm not sure that I can give a formal description. There are things whose state at particular times is determined (or approximately determined in the limit) even though the intermediate states are not deterministic. Do they fit into your original question?
 
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FactChecker said:
I'm not sure that I can give a formal description. There are things whose state at particular times is determined (or approximately determined in the limit) even though the intermediate states are not deterministic. Do they fit into your original question?
They might. If I understand correctly you are saying that some aspects of outcomes based on probability theory and its theorems are in advance determined i.e. deterministic in some more abstract sense than determinism as usually understood.

Stated in this way I would I agree with this. The next question is, is the underlying reason for this more abstract determinism analogous or reducible to my non-standard DE definition or not?
 
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