Probability and statistical mechanics

In summary, statistical mechanics deals with probabilities because at the atomic level, there are so many possible arrangements and variables that it is practically impossible to predict the exact outcome of a system. Classical mechanics allows for prediction of the infinite future if all parameters are known, but for systems with a large number of degrees of freedom, it is impossible to determine the initial state. Therefore, probabilities provide the only hope for making predictions. Additionally, even if we were somehow able to know all trajectories, dealing with the massive amount of information would be impractical, making averages a more useful representation of system behavior.
  • #1
erty
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(I didn't know where to put this one, so somebody will eventually move it, I predict...)

This is a absolute newbie-question, so don't be evil!

Why does statistical mechanics deal with probabilities?
ASAIK, statistical mechanics is built on classical mechanics, where it is possible to predict the infinite future, if all the parameters of a system is known.
 
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  • #2
It uses probabilities because it would be a major headache otherwise.

Imagine a container full of air particles. There is a ton of different arrangements possible, and the arrangements are always changing. Therefore it's easy to look at it in terms of the most probable "state" instead of trying to analyze each one individually.

And then there is also quantum mechanics where it seems impossible to observe an event without affecting it, so we can only deal with probabilities as well.

I guess the short answer is that at the atomic level, so many different things are possible, that it is practically impossible to predict EXACTLY what will happen. This is why we use probabilities.
 
  • #3
erty said:
Why does statistical mechanics deal with probabilities?
ASAIK, statistical mechanics is built on classical mechanics, where it is possible to predict the infinite future, if all the parameters of a system is known.
Your last line conveys the key difficulty.
For systems with a large (read humongous) number of degrees of freedom it is practically impossible to determine the initial state. Take a mole of atoms in a container (like an ideal gas). To determine the initial condition you need the simultaneous measurement of N_A (Avogadro's number) positions and momenta. It is practically without meaning. Probability allows the only hope for predictions.
 
  • #4
To add on, let's consider what would happen if we somehow knew all the trajectories for all time. What does this tell us? Okay, we know "everything" about the system, but that's a ridiculous amount of information to make sense of. Really, the averages are a very good representation of the behavior of the system (read Landau & Lif****z for a proof that the standard deviation for such a system goes like [tex]1/\sqrt{N}[/tex]), but it's one or a few numbers rather than [tex]6 N[/tex] functions of time. Which one would you rather deal with?

Edit: Are you serious? This thing blanks out Lifsitz' name?
 

1. What is probability in the context of statistical mechanics?

Probability in the context of statistical mechanics is a measure of the likelihood of a certain event or outcome occurring within a system. It is used to describe the behavior of a large number of particles or systems, where individual outcomes cannot be predicted but overall trends and patterns can be determined.

2. How is probability used in statistical mechanics?

Probability is used in statistical mechanics to predict the behavior of a system by calculating the likelihood of different outcomes. It is also used to analyze and interpret experimental data, and to make predictions about the behavior of a system under different conditions.

3. What is the difference between classical and quantum statistical mechanics?

Classical statistical mechanics deals with systems of particles that are large enough to be described using classical laws of physics, such as Newton’s laws of motion. Quantum statistical mechanics, on the other hand, deals with systems that are too small to be described using classical mechanics and instead uses quantum mechanics to describe the behavior of particles.

4. What is the connection between entropy and probability in statistical mechanics?

Entropy is a measure of the disorder or randomness within a system, while probability is a measure of the likelihood of different outcomes occurring within a system. In statistical mechanics, entropy and probability are connected through the Boltzmann formula, which states that the entropy of a system is directly proportional to the natural logarithm of the probability of that system being in a particular state.

5. How is statistical mechanics applied in real-world situations?

Statistical mechanics is used to study and understand the behavior of many different systems, including gases, liquids, and solids. It is also applied in fields such as chemistry, biology, and engineering to make predictions and analyze data. Some real-world applications of statistical mechanics include predicting the behavior of materials at different temperatures and pressures, modeling chemical reactions, and understanding the properties of biological systems.

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