Exploring Random Walkers on 1D Lattices with Diffusing Boundaries

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In summary, there is a significant amount of research on the 1D discrete random walk as a Markov chain, but there is limited work specifically on a random walker on a 1D lattice with diffusing boundaries. The amount of net work done would depend on the type of boundary, with a bounded range resulting in zero net work over time and an absorbing boundary resulting in a finite non-zero amount of net work.
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NoobixCube
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Hi all,

I was wondering whether there was any work done on a random walker on a 1D lattice with diffusing boundaries?

Any links or suggestions would be great!
 
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In terms of net work done, the answer would be based on the amount of displacement from the origin over an interval of time. If the range is bounded, then the amount of net work done would approach zero as time approaches infinity.

EDIT: While I stand by what I said; there will be a finite non-zero amount of net work done with an absorbing boundary for a unit particle, equal to the displacement of the particle from the origin to the boundary. For a reflecting boundary the average net amount work done over time is zero.
 
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Related to Exploring Random Walkers on 1D Lattices with Diffusing Boundaries

1. What is a random walker?

A random walker is a mathematical model used to describe the movement of a particle or object in a random or chaotic manner. It is often used to simulate the behavior of molecules in a fluid or gas, or the movement of animals in their natural habitats.

2. What is a 1D lattice?

A 1D lattice is a one-dimensional grid or network of points that are connected to one another. In the context of random walkers, it represents a linear path or pathway along which the walker can move.

3. What are diffusing boundaries?

Diffusing boundaries are boundaries that allow for the diffusion or movement of particles or objects across them. In the context of random walkers on 1D lattices, they represent the edges of the lattice where the walker can diffuse or move beyond the boundaries.

4. How is this study relevant to real-world applications?

This study has many real-world applications, such as modeling the spread of diseases, analyzing stock market trends, and understanding the behavior of particles in a fluid. It can also be used to study the movement of animals or the diffusion of substances in a controlled environment.

5. What are the potential limitations of this study?

One potential limitation of this study is that it only focuses on 1D lattices with diffusing boundaries, which may not accurately reflect the behavior of random walkers in more complex or multidimensional systems. Additionally, the assumptions and parameters used in the study may not fully capture the complexities of real-world scenarios.

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