Continuum limit: is it really justifiable?

In summary, in statistical physics, the continuum limit is used to convert sums to integrals when the number of particles in a system goes to infinity. This is a well-defined method that has been observed to agree with physical phenomena. While it may not be mathematically rigorous, it is justified by the error going to 0 as the number of particles increases. The continuum limit is closely related to the thermodynamic limit, which considers the behavior of a system as the number of particles goes to infinity while the density remains fixed.
  • #1
drkatzin
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Usually in statistical physics, when your system has a large number N of particles, you take the continuum limit -- you let [itex]N\rightarrow\infty[/itex], and convert sums to integrals (with an appropriate normalization factor).

My understanding is that as a finite number tends to infinity, the infinity is still countable. What confuses me is the jump to uncountable infinity that allows us to use the continuum. Is there a rigorous math way to explain why this is ok, or is it just a physicist's way of saying countable infinity [itex]\approx[/itex] uncountable infinity? (To me, this seems absolutely unjustifiable, even in an approximation. The concepts are fundamentally different.)

Thanks!
 
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  • #2
We do it because it works - i.e. it agrees with observation. It may not be mathematically rigorous, but it is well-defined.
 
  • #3
drkatzin said:
. Is there a rigorous math way to explain why this is ok
As the number of particles goes to infinity the error from making the continuum approximation goes to 0.
 
  • #4
drkatzin said:
Usually in statistical physics, when your system has a large number N of particles, you take the continuum limit -- you let [itex]N\rightarrow\infty[/itex], and convert sums to integrals (with an appropriate normalization factor).

My understanding is that as a finite number tends to infinity, the infinity is still countable. What confuses me is the jump to uncountable infinity that allows us to use the continuum. Is there a rigorous math way to explain why this is ok, or is it just a physicist's way of saying countable infinity [itex]\approx[/itex] uncountable infinity? (To me, this seems absolutely unjustifiable, even in an approximation. The concepts are fundamentally different.)

Thanks!

You will hopefully find the answer in this thread sufficient: https://www.physicsforums.com/showthread.php?t=407934 (the relevant post is a remark that a continuous function is completely determined by its values on the rationals, which are countable).

Some further comments, though:

The limit you are describing, [itex]N \rightarrow \infty[/itex], is called the thermodynamic limit, and although it is similar to the continuum limit, they are not quite the same. The thermodynamic limit addresses the case of what happens when you take the number of "particles" of a system to infinity, but those particles may still have a discrete set of locations.

In this context, the approximation of sums with integrals can perhaps be viewed as a consequence of the Euler-Maclaurin formula, which enables one to approximate sums as integrals, at very least deriving an asymptotic expression, which is generally what one does in statistical mechanics. The change of variables from sum indices to a more physical variable will introduce the density of states.

As for the continuum limit, this is the limit in which your system actually becomes a continuum e.g., taking the lattice spacing to zero. Often this is done in conjunction with the thermodynamic limit while holding the density of the system fixed. Because the number of particles is generally still taken to infinity, the integral theorem I mentioned above still applies.
 
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  • #5
Mute said:
You will hopefully find the answer in this thread sufficient: https://www.physicsforums.com/showthread.php?t=407934 (the relevant post is a remark that a continuous function is completely determined by its values on the rationals, which are countable).

Some further comments, though:

The limit you are describing, [itex]N \rightarrow \infty[/itex], is called the thermodynamic limit, and although it is similar to the continuum limit, they are not quite the same. The thermodynamic limit addresses the case of what happens when you take the number of "particles" of a system to infinity, but those particles may still have a discrete set of locations.

In this context, the approximation of sums with integrals can perhaps be viewed as a consequence of the Euler-Maclaurin formula, which enables one to approximate sums as integrals, at very least deriving an asymptotic expression, which is generally what one does in statistical mechanics. The change of variables from sum indices to a more physical variable will introduce the density of states.

As for the continuum limit, this is the limit in which your system actually becomes a continuum e.g., taking the lattice spacing to zero. Often this is done in conjunction with the thermodynamic limit while holding the density of the system fixed. Because the number of particles is generally still taken to infinity, the integral theorem I mentioned above still applies.

Thank you Mute! This makes a lot of sense.
 

1. What is the continuum limit and why is it important in science?

The continuum limit refers to the mathematical concept of taking a system with a large number of discrete components and allowing those components to become infinitely small and densely packed. This is important in science because many physical phenomena, such as fluid flow or the behavior of materials, can be described using continuous equations rather than discrete ones. Taking the continuum limit allows us to simplify these equations and make predictions about the behavior of a system at different scales.

2. How is the continuum limit justified in scientific research?

The justification for the continuum limit lies in the idea of asymptotic behavior, where a system approaches a certain limit as a certain parameter (such as size) goes to infinity. In the case of the continuum limit, as the number of discrete components in a system becomes very large, the behavior of the system approaches that of a continuous system. This has been experimentally verified in many cases and is also supported by mathematical proofs.

3. Are there any limitations to using the continuum limit in scientific models?

While the continuum limit is a powerful tool in simplifying equations and making predictions about physical systems, it is not always applicable. In some cases, the discrete nature of a system may be essential to understanding its behavior, and taking the continuum limit may lead to inaccurate results. Additionally, the continuum limit may not be appropriate for systems with very small scales, such as at the atomic or subatomic level.

4. Can the continuum limit be applied to all types of systems?

No, the continuum limit is not applicable to all types of systems. It is most commonly used in systems that exhibit smooth and continuous behavior, such as fluids or materials. It may not be suitable for systems with highly discontinuous behavior, such as networks or fractals. Additionally, the continuum limit may not be valid in extreme conditions, such as high pressures or temperatures.

5. How does the continuum limit relate to the concept of scale invariance?

The continuum limit is closely related to the concept of scale invariance, which refers to the idea that a system's behavior remains the same regardless of the scale at which it is observed. Taking the continuum limit allows us to describe a system at different scales using the same equations, making it scale-invariant. This is useful in understanding the behavior of systems at different sizes and in different environments.

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