Statistical mechanics: Particle on a spring

In summary, a classical particle with mass m in thermal equilibrium with a fluid at temperature T is stuck to a harmonic spring and can only move on a horizontal line. The position of the particle is determined by a probability distribution proportional to e^{-\frac{x^2}{2\sigma^2}}. The spring constant C can be calculated as C = \frac{k_B T}{\sigma^2}. The question for the average quadratic displacement of the particle may be incorrect due to contradictions in the thermodynamic principles implied by the given information.
  • #1
SoggyBottoms
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Homework Statement



A classical particle with mass m is in thermal equilibrium with a fluid at temperature T. The particle is stuck to a harmonic ('Hookean') spring and can only move on a horizontal line ([itex]-\infty < x < \infty[/itex]). The position of the particle is x = 0 if the spring is in its equilibrium position, but thermal movement can cause it to stretch or compress. The probability distribution of finding the particle in position x is proportional to [itex]e^{-\frac{x^2}{2\sigma^2}}[/itex].

a) Calculate the spring constant C as a function of m, [itex]\sigma[/itex], [itex]k_b[/itex] and/or T.

b) Calculate the average quadratic displacement of the particle.

The Attempt at a Solution



The probability of finding the particle in position x is proportional to [itex]e^{-\frac{x^2}{2\sigma^2}}[/itex]. The energy of the spring is [itex]\frac{1}{2}C x^2[/itex], so the chance of finding the particle in position x is also proportional to [itex]e^{-\frac{1}{2}C x^2 \beta}[/itex]. This gives [itex]\frac{1}{2}C x^2 \beta = \frac{x^2}{2\sigma^2}[/itex] or [itex]C = \frac{k_B T}{\sigma^2}[/itex]

Is this correct?

b) Do they mean finding [itex]\langle x^2 \rangle[/itex]?
 
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  • #2
This is a weird question, but I think based on what the question says, you're giving the right answer. I actually think the question must be screwed up.

It's weird because:
I've never heard the term "average quadratic displacement" but <x2> sounds right.

The question is thermodynamically nonsense because:
Here σ is supposedly a constant, and the spring constant depends on temperature. (Problems I've seen have a constant spring constant, and the probability distribution has thermal dependence.) Since σ is nonzero, even at zero temperature, there are fluctuations in the particle's position. If the fluctuations are thermal, this is a contradiction, since at zero temperature there is no thermal motion. This also implies that at zero temperature, the spring constant is zero, which is very odd.
 
  • #3
Thanks. The problem might lie in my translation of the question, but I made sure to do it as faithfully as possible and looking at the original question it is pretty much a word for word translation. I will have to look at it some more and come back to it.

(If anyone speaks Dutch it's questions 4a and 4b http://www.a-eskwadraat.nl/tentamens/NS-201b/NS-201b.2009-03-16.tent.pdf .)
 
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FAQ: Statistical mechanics: Particle on a spring

What is statistical mechanics?

Statistical mechanics is a branch of physics that uses statistical methods and probability theory to study the behavior of large numbers of particles. It is used to understand the thermodynamic properties of systems made up of many particles, such as gases, liquids, and solids.

2. What is a particle on a spring?

A particle on a spring is a simple model used in statistical mechanics to study the behavior of a single particle attached to a spring. The particle can move back and forth along the spring, and this motion is described by the laws of classical mechanics.

3. What is the significance of studying a particle on a spring?

Studying a particle on a spring allows us to understand the fundamental principles of statistical mechanics, such as how energy is distributed among particles and how systems reach equilibrium. It also serves as a building block for more complex systems and helps us make predictions about real-world systems.

4. How is statistical mechanics used to study a particle on a spring?

Statistical mechanics uses mathematical tools, such as the Boltzmann distribution, to describe the probability of a particle being in a certain position or having a certain amount of energy. These tools can then be applied to a particle on a spring to analyze its behavior and make predictions about its properties.

5. What are some real-life applications of statistical mechanics and the particle on a spring model?

Statistical mechanics has a wide range of applications in fields such as thermodynamics, chemistry, and materials science. The particle on a spring model is often used to understand the behavior of atoms in a solid, the dynamics of molecules in a gas, and the properties of polymers and other materials. It also plays a key role in the development of technologies such as refrigeration and energy storage.

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