Kinetic equation of gases: time between collisions instead of time of colission?

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In summary, the paper discusses the kinetic equation of gases, proposing a shift in focus from the time of collision to the time between collisions. This approach aims to enhance the understanding of gas behavior by emphasizing the intervals during which particles move freely between interactions, potentially leading to more accurate modeling of gas dynamics and improved insights into transport properties.
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Vladimir_Kitanov
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I understand everything except why do we use time between collisions instead of time of colission?

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And can it be done differently?
 
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It's the average rate of change of momentum of one molecule due to collisions of the molecule against one wall that is of interest. Suppose you have a job that pays $5000 per month and you get paid on the last day of the month. So, you deposit $5000 each payday into your bank account. You wouldn't claim that your account is increasing at an average rate of $5000 per day. The average rate of increase of the account is $5000 divided by the the time between deposits (a month). Same with the molecule. Its average "deposit" of momentum-change against one wall is the momentum change of the collision divided by the time between collisions of that molecule with that wall.

You find this derivation in many introductory physics textbooks and it does get the idea across. However, we know that for a gas of many molecules, a single molecule will travel a very erratic path as it collides with other molecules. So, to me, this makes the derivation questionable. For a better derivation see for example here. More sophisticated derivations can be found in textbooks on statistical mechanics.
 
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FAQ: Kinetic equation of gases: time between collisions instead of time of colission?

What is the kinetic equation of gases?

The kinetic equation of gases is a mathematical representation that describes the motion and behavior of gas molecules. It is often derived from the principles of kinetic theory, which assumes that gas molecules are in constant, random motion and that their collisions with each other and the walls of their container are elastic. The equation helps to relate macroscopic properties of gases, such as pressure, temperature, and volume, to the microscopic behavior of the molecules.

How is the time between collisions different from the time of collision in the context of gas molecules?

The time between collisions, often referred to as the mean free time, is the average time a gas molecule travels before colliding with another molecule. In contrast, the time of collision is the duration of the actual collision event itself. The mean free time is typically much longer than the time of collision, as collisions occur very quickly relative to the time molecules spend traveling between collisions.

Why is the mean free time important in the kinetic theory of gases?

The mean free time is crucial because it helps to determine the mean free path, which is the average distance a gas molecule travels between collisions. This information is essential for understanding and predicting the diffusion, viscosity, and thermal conductivity of gases. The mean free time directly influences these properties and is a key parameter in the kinetic theory of gases.

How do you calculate the mean free time for gas molecules?

The mean free time can be calculated using the formula: \[ \tau = \frac{1}{\sqrt{2} \cdot n \cdot \sigma \cdot \bar{v}} \]where \( \tau \) is the mean free time, \( n \) is the number density of molecules, \( \sigma \) is the effective collision cross-section, and \( \bar{v} \) is the average speed of the molecules. This formula takes into account the frequency of collisions and the relative speed of the molecules.

What are the implications of knowing the mean free time in practical applications?

Knowing the mean free time has several practical implications, especially in fields like chemical engineering, atmospheric science, and the study of plasmas. For example, it helps in designing efficient industrial processes involving gases, such as reactors and separators. In atmospheric science, it aids in understanding how pollutants disperse in the air. In plasma physics, it is vital for predicting the behavior of ionized gases in various conditions, such as in fusion reactors.

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