Thursday, April 13, 2023

Phub Lham

  Good evening to you all🙋.

Today in my blog I will talk about yesterday’s topic which is elementary statistical mechanics.

Elementary Statistical Mechanics

Elementary statistical mechanics is a branch of physics that deals with the study of the behavior of macroscopic systems by analyzing the properties of their microscopic constituents. American physicist Josiah Willard Gibbs proposed the mathematical structure of statistical mechanics in the late 19th century.

There are two main approaches to statistical mechanics:

1.Classical Mechanics

2. Quantum Mechanics

Classical Mechanics

Classical mechanics is based on the classical laws of physics, which deal with the study of macroscopic bodies.

Quantum Mechanics

 Quantum Mechanics is the study of microscopic bodies such as subatomic particles, atoms, and other small bodies.

In Elementary statistical mechanics, a system can be described in terms of its micro-state and macro-state.

Micro-state

The arrangement of particles in different ways is known as a micro-state. It is a specific configuration of the system's particles, including their positions, velocities, and energies. Each microstate is unique and corresponds to a particular arrangement of the particles in the system. Classical thermodynamics describes that thermodynamic systems are macroscopic systems containing macroscopic properties. However, all these thermodynamic systems are made up of atoms; therefore, it is very important to understand the microstate of the system as well, which specifies the quantum state of all the atoms in the system.

For example, if four distinguishable particles are distributed in two compartments, then, the no. of possible microstates (16) 

   If n particles are to be distributed in 2 compartments. The no. of microstates is


Macro-state

The number of arrangement of particles is known as a macro-stateIt is a collection of microstates that share certain macroscopic properties, such as the total energy, volume, and number of particles in the system. In other words, a macro-state is a set of micro-states that are indistinguishable from a macroscopic perspective.

For example, if 4 particles are distributed in 2 components, then the possible macrostates i.e., 4+1=5.

If n particles are to be distributed in 2 components. Then the no. of macrostates is 

= n+1                                 

Differences between micro-state and macro-state:


The relationship between micro-state and macro-state is important in statistical mechanics because it allows us to relate the microscopic behavior of the particles to the macroscopic properties of the system. By understanding the distribution of the micro-state that corresponds to a particular macro-state, we can make predictions about the behavior of the system as a whole.

Thermodynamic probability:

In thermodynamics, the concept of probability is used to describe the likelihood of a system being in a certain state. The thermodynamic probability of a system in a given state is proportional to the number of microstates that correspond to that macro-state. OR The number of microstates corresponding to any macro-states is known as thermodynamic probability. The thermodynamic probability of the system being in a particular macro-state is given by the following equation:

Where P is the thermodynamic probability, Ω is the number of microstates that correspond to the macro-state, and N is the total number of particles in the system.


For distribution of 4 particles in 2 identical compartments

Distribution of four indistinguishable particles in two components.

For indistinguishable particles, W=1

Four particles can be distributed among the two components.

Microstates

Macrostates

Frequency Or

Thermodynamic Probability W

Probability

Component 1

Component 2

abcd

 

(4,0)

1

1/16

 

bcd

acd

abc

a

b

c

a

 

(3,1)

4

4/16

 

ab

ac

ad

bc

bd

cd

cd

bd

bc

ad

ac

ab

(2,2)

6

6/16

 

a

b

c

d

 

bcd

acd

abd

abc

(1,3)

4

4/16

 

 

abc

(0,4)

1

1/16

 

 Thank You 😍

 

28 comments:

  1. Splendid work done!!!The examples and formula for the microstate and macro state cited were all easily understandable 💯.

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  2. Fantastic explanation and a Splendid work

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  3. You have explained very well and I have understood about the topic. Nice job.

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  4. Well explained and understandable la

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  5. Thank you Phub for the beautiful blog. You did an excellent job of breaking down complex statistical concepts into simpler terms that are easy to understand. Overall, I found your writing on elementary statistics mechanics very informative and helpful!😀

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  6. Good piece of work with lots of information embedded 🙏

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  7. This comment has been removed by a blog administrator.

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  8. Concepts are clear and understandable
    Great work.

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  9. Good work!
    Easy to understand and analyze it.

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  10. Its really a beautiful blog with greater information. Thank you and keep it up...

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  11. Well explained and it was easy to understand. I love the way you present. Bravo👏

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  12. Your content was relevant and your format was visually appealing and easy to understand. Thank you

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  13. Amazing write up
    Easy to access ✌🫡100%

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  14. Can understand easily... Great one

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  15. Have beautiful pictures to explain.

    ReplyDelete
  16. Amazingly done with a beautiful concepts...
    Thanks for sharing

    ReplyDelete