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Given an arbitrary thermodynanic systemn, which is larger. the number of possible macrostates, or the number of possible microstates, or is it impossible to say? Explain your answer. (For most systems, both are infinite, but it is still possible to answer the question)

Short Answer

Expert verified
The number of possible microstates is usually larger than the number of macrostates. Even though the quantities of both may be potentially infinite, each observable macrostate is a result of many different arrangements of its underlying microstates.

Step by step solution

01

Define Macrostates and Microstates

Macrostates correspond to various properties or characteristics that can be macroscopically observed like volume, pressure and temperature. Microstates, however, mean the specific arrangements of individual particles (each particle's position and velocity) that gives rise to a macrostate. For instance, for a flipped coin, heads is a macrostate but the rotational trajectory the coin experienced while flipping is the microstate.
02

Relation Between Microstates and Macrostates

A single macrostate can include multiple microstates. For instance, if coins are flipped, the combination of heads and tails (such as HT, TH, HH, TT) are considered as the microstates that result in the macrostate. Another example would be in gases, where the macrostate includes the pressure, volume and temperature, while the microstates are linked to the position and velocities of the individual molecules.
03

Number of Microstates vs Macrostates

In practicality, the number of microstates is larger than the number of macrostates. This is due to the fact that each macrostate can be produced by many different arrangements or permutations of microstates. Thus, there can exist many more specific arrangements (microstates) than the observed characteristics (macrostates).
04

Summary

Therefore, even if the quantities of both states may be infinite, the number of possible microstates is usually larger because there are many ways for particles to arrange in order to bring about the same macroscopic observation.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Macrostates
When we talk about macrostates in thermodynamics, we're referring to the macroscopic characteristics of a thermodynamic system that are observable and measurable. These include properties such as volume, pressure, and temperature. Essentially, a macrostate is what you can observe without knowing every little detail about the system. Imagine looking at a container of gas and observing its pressure and temperature. These parameters together describe a macrostate because they tell you the general condition of the system.

One key thing about macrostates is that they're less detailed than microstates. Often, many different arrangements of particles and their energies (microstates) can lead to the same macrostate. This means macrostates provide a broader or more general picture of what's happening in a system.
Microstates
Microstates are like the little details or the zoomed-in view of a thermodynamic system. They describe the specific arrangements of particles, including their individual positions and velocities, that can exist within a given macrostate. To understand this, imagine flipping a coin: while the outcome (heads or tails) is a macrostate, the path the coin took to get there—its flips and spins—is the microstate.

Each macrostate is associated with a vast number of microstates. This is because there are many ways the particles can be arranged and countless possible combinations of their energies within a single macrostate. For example, in a gas, even with the same pressure and temperature (macrostate), the molecules can be moving in countless different ways, creating numerous microstates.
Thermodynamic Systems
A thermodynamic system is a specific portion of the physical universe that is chosen for analysis. Everything outside this system is known as the surroundings. These systems can be as simple as a block of ice or as complex as a living organism.

Thermodynamic systems are classified into three types based on their interactions with the surroundings:
  • Open Systems: Exchange both energy and matter with their surroundings. An example is a boiling pot of water where steam and heat are exchanged.
  • Closed Systems: Exchange only energy with their surroundings, not matter. A sealed beaker is a good example.
  • Isolated Systems: Neither energy nor matter is exchanged with the surroundings. A perfectly sealed and insulated flask approaches this ideal.
Understanding thermodynamic systems is crucial because it helps us communicate what part of the universe we are studying and how it interacts with the environment. This understanding paves the way to exploring how macrostates and microstates interplay within these systems.

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Most popular questions from this chapter

The fact that a laser's resonant cavity so effectively sharpens the wavelength can lead to the output of several closely spaced laser wavelengths, called longitudinal modes. Here we see how. Suppose the spontaneous emission serving as the seed for stimulated emission is of wavelength \(633 \mathrm{~nm}\), but somewhat fuzzy, with a line width of roughly \(0.001 \mathrm{~nm}\) either side of the central value. The resonant cavity is exactly \(60 \mathrm{~cm}\) kng. (a) How many wavelengths fit the standing-wave condition? (b) If only u single wavelength were desired. would changing the length of the cavity help? Explain.

Show that the rms speed of a gas molecule, defined as \(v_{\mathrm{mm}} \equiv \sqrt{\bar{v}^{2}},\) is given by \(\sqrt{3 k_{\mathrm{B}} T / m}\).

Example 9.2 obtains a ratio of the number of particles expected in the \(n=2\) state to that in the ground state. Rather than the \(n=2\) state, consider arbitrary \(n\). (a) Show that the ratio is \(\frac{\text { number of energy } E_{n}}{\text { number of energy } E_{1}}=n^{2} e^{-13.6 \mathrm{cV}\left(1-n^{-2}\right) / k_{\mathrm{B}} T}\) Note that hydrogen atom energies are \(E_{n}=\) \(-13.6 \mathrm{eV} / \mathrm{r}^{2}\) (b) What is the limit of this ratio as \(n\) becomes very large? Can it exceed \(1 ?\) If so, under what condition(s)? (c) In Example 9.2, we found that even at the temperature of the Sun's surface \((\sim 6000 \mathrm{~K})\), the ratio for \(n=2\) is only \(10^{-8}\). For what value of \(n\) would the ratio be \(0.01 ?\) (d) Is it realistic that the number of atoms with high \(n\) could be greater than the number with low \(n\) ?

Consider a gas of atoms that might serve as a laser medium but that is in equilibrium, with no population inversions. A photon gas coexists with the atoms. Would a photon whose energy is precisely the difference between two atomic energy states be more likely to be absorbed or to induce a stimulated emission or neither? We expect that in equilibrium the numbers of atoms at different levels and the number of photons of a given energy should be stable. Is your answer compatible?

The Stirling approximation. \(J ! \equiv \sqrt{2 \pi} J^{j+1 / 2} e^{-\jmath}\). is very handy when dealing with numbers larger than about 100 . Consider the following ratio: the number of ways \(N\) particles can be evenly divided between two halves of a room to the number of ways they can be divided with \(60 \%\) on the right and \(40 \%\) on the left. (a) Show, using the Stirling approximation, that the ratio is approximately \(\left(4^{04} 6^{06} / 5\right)^{N}\) for large \(N\). (b) Explain how this fits with the claim that average behaviors become more predictable in large systems,

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