How does decompression affect the number of particles in a confined gas?

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In summary, the conversation discusses the assembly of a function for describing the decompression of an ideal gas in a long box with initial confinement in a volume L^3. The formula for the time taken by a particle to reach the barrier at x=L is provided, but the desired function n(t) = f(N, L, \overline{v},t) is still needed. The speaker also mentions potential changes and suggests using a ball instead of a cube. However, the problem is not fully explained.
  • #1
intervoxel
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Hi,
I'm trying to assemble a function describing the decompression of an ideal gas in a infinitely long box of side L. The gas is initially confined in a volume [tex]L^3[/tex] at one end.

So far I got the following formula which gives the time the i-th particle takes to reach the barrier at x=L:

[tex]
t_i = \frac{2 L - x_i}{\overline{v} \cos(a_i)}
[/tex]

where

[tex]x_i[/tex] is a random variable between 0 and L
[tex]a_i[/tex] is a random variable between 0 and [tex]\pi /2[/tex]
[tex]\overline{v}[/tex] is the average speed of a gas particle

What I need is [tex]n(t) = f(N, L, \overline{v},t)[/tex]

where

N is the total number of particles
n(t) is the the number of particles in the original volume [tex]L^3[/tex] after time t

Please, help. I'm stuck a long time in this.

Thanks
 
Last edited:
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  • #2
I do not see a mechanism which could change ##n(t)##. Also it might be reasonable to work with a ball instead of a cube. As given, the problem is insufficiently explained.
 

What is a decompression function?

A decompression function is a mathematical algorithm used to reverse the process of data compression. It takes compressed data and expands it back to its original size and format.

How does a decompression function work?

A decompression function works by using various methods such as dictionary-based decompression, entropy encoding, and run-length encoding to reconstruct compressed data. It uses a reverse process of the compression algorithm to rebuild the original data.

Why is a decompression function important?

A decompression function is important because it allows for efficient storage and transmission of data. Without decompression, data would take up more space and take longer to transmit, making it less practical for use in various applications.

What are some examples of decompression functions?

Some examples of decompression functions include LZ77, LZ78, and Huffman coding. These are commonly used in file compression programs such as ZIP, RAR, and 7-Zip.

Can a decompression function fail?

Yes, a decompression function can fail if the compressed data is corrupted or if the decompression algorithm is not compatible with the compression algorithm used. In such cases, the decompression function may produce errors or result in incorrect data.

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