Random Walk Diffusion: Analytic Expression for Probability

In summary, the conversation is about finding an analytic expression for the probability that a single particle will pass through a given position x within a time t in a 1D random walk. The probability distribution for the particle's final position after time t is given by a gaussian, but the speaker wants to know how many particles pass through the position at any point in time. It is clarified that a random walker is a single particle, and the probability of passing through a position is different from the probability of ending up at that position. The speaker then confirms that they are looking for the probability of passing through a position from either the left or right within the time interval [0, t].
  • #1
AndersonMD
50
2
Hello

I am trying to find an analytic expression for the probability that a particle will have passed a position x after a time t.

It is a 1D random walk, the probability distribution after time t that a particle will end at position x is given by a gaussian, but I need to know how many particles passed the position at any point in time.

Cheers
 
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  • #2
AndersonMD said:
I am trying to find an analytic expression for the probability that a particle will have passed a position x after a time t.

AndersonMD said:
It is a 1D random walk, the probability distribution after time t that a particle will end at position x is given by a gaussian

so, you answered your own question.

AndersonMD said:
but I need to know how many particles passed the position at any point in time.

A random walker by definition is a single particle. If you have a collection of N, non-interacting particles, then the answer to your other question is just the probability from the above question multiplied by the total number of particles.
 
  • #3
No, there is a difference between the probability of ending up at a certain location (gaussian), and the probability that it is passed through a position before ending up somewhere else (looks like a triangular function with gaussian wings)
 
  • #4
Oh, I see. You ask for the probability that I will pass through a point with a coordinate [itex]x[/itex] either from the left or from the right within a time interval [itex][0, t][/itex]. Is this what you mean?
 
  • #5
Yes, exactly.
 

Related to Random Walk Diffusion: Analytic Expression for Probability

1. What is a random walk diffusion?

Random walk diffusion is a mathematical model used to describe the movement of particles or molecules in a random manner. It is based on the idea that particles move randomly in all directions and have no preferential direction or speed.

2. How is probability related to random walk diffusion?

In random walk diffusion, probability is used to describe the likelihood of a particle being at a certain location at a given time. The probability of a particle being at a certain location is affected by factors such as the size of the particle, the temperature, and the concentration gradient.

3. What is the analytic expression for probability in random walk diffusion?

The analytic expression for probability in random walk diffusion is a mathematical formula that calculates the probability of a particle being at a certain location at a given time. It takes into account parameters such as the diffusion coefficient, the initial position of the particle, and the time elapsed.

4. How is random walk diffusion used in scientific research?

Random walk diffusion is used in various scientific fields, such as physics, chemistry, and biology, to model the movement of particles and molecules. It can be used to study diffusion processes in different environments, as well as to understand the behavior of complex systems.

5. What are some limitations of the random walk diffusion model?

One limitation of the random walk diffusion model is that it assumes particles move in a completely random manner, which may not always be the case in real-world environments. Additionally, the model does not take into account factors such as particle interactions or external forces, which may affect the movement of particles.

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