Explaining Continuous Time Random Walks: What Is It and How Is It Used?

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Continuous Time Random Walks (CTRW) differ from traditional random walks by incorporating waiting times before jumps, which can vary from zero to infinity, and the jump distances are indeed continuous. The Montroll-Weiss equation, along with Fourier and Laplace transforms, is used to analyze probabilities related to the particle's position over time. The study of CTRW is primarily motivated by modeling anomalous diffusive transport, where the mean squared displacement follows a power law rather than a linear relationship with time. Practical applications of CTRW include understanding diffusion in disordered media, cell migration, animal foraging patterns, and intracellular transport. For further insights, various academic papers and review chapters are recommended for deeper understanding.
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Hi, I'm trying to read into CTRW, but I'm finding the information online a little difficult to take in. From what I've read the process differs from normal random walks in that jumps take place after some waiting time \tau, which can be from 0<\tau<\infty. Would I also be right in saying that the jump distance is continuous as well?

After that I come to the Montroll-Weiss equation, Fourier and Laplace transforms and work with probabilities about the positioning after a certain number of steps or time. I'm really looking for something that explains the meaning of all the maths, what the probabilities and transforms show about a particle undergoing this process. Maybe a practical application or a simpler explanation even? Any suggested sources?

Any help would be much appreciated. Thanks.
 
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Hmm. My initial thought when I read your post was "Yikes! Yet another name for a Gauss-Markov process"! But you are talking about something else.

I found this paper; if you've already come across it, never mind!

Meerschaert et al, Governing equations and solutions of anomalous random walk limits, PRevE, 66:060102
http://inside.mines.edu/~dbenson/current/couplePRE.pdf
 
AFAICT, the main motivation for developing this line of study is to model "anomalous diffusive transport". That is, diffusive processes where the mean squared displacement <x^2> != t, but is instead a power law t^a.

This situation occurs for diffusion in disordered media:
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TVP-46SXPMN-7F&_user=7774119&_coverDate=11%2F30%2F1990&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000062847&_version=1&_urlVersion=0&_userid=7774119&md5=7f2d1c134653937175696ea89d5db97d&searchtype=a

cell migration:
http://www.mpipks-dresden.mpg.de/~rklages/publ/publ.html[/URL]

searching patterns of wandering animals:
[url]http://www.nature.com/nature/journal/v449/n7165/abs/nature06199.html[/url]

and intracellular transport:
[url]http://biophysics.physics.brown.edu/BPJC/JC%20pdf%20paper%20files/BPJC%20Fall%202005/CaspiPRL2000.pdf[/url]
 
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Hi,
I found this discussion, because Andy linked to my publications (thanks!).
Perhaps Section 4 of a review is helpful that I wrote last year. It got published as a book chapter, http://arxiv.org/abs/0804.3068" .
It contains a number of further introductory references.
Good luck,
R.
 
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I do not have a good working knowledge of physics yet. I tried to piece this together but after researching this, I couldn’t figure out the correct laws of physics to combine to develop a formula to answer this question. Ex. 1 - A moving object impacts a static object at a constant velocity. Ex. 2 - A moving object impacts a static object at the same velocity but is accelerating at the moment of impact. Assuming the mass of the objects is the same and the velocity at the moment of impact...

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