Diffusion equation from random motion

Click For Summary
SUMMARY

The discussion centers on deriving the diffusion equation from the equation of motion, specifically \(\dot{x} = \eta(t)\), where \(\eta(t)\) represents white noise. A key suggestion is to utilize the Gaussian form of noise and incorporate a delta function to represent the equation of motion. The Langevin equation is identified as a crucial concept for this derivation. Participants are encouraged to search for resources related to the diffusion equation for further insights.

PREREQUISITES
  • Understanding of stochastic processes, particularly white noise.
  • Familiarity with the Langevin equation and its applications.
  • Knowledge of Gaussian distributions and their properties.
  • Basic concepts of differential equations and their solutions.
NEXT STEPS
  • Research the derivation of the diffusion equation from the Langevin equation.
  • Explore the properties of white noise and its mathematical representation.
  • Study Gaussian processes and their relevance in stochastic modeling.
  • Investigate applications of the diffusion equation in physics and engineering.
USEFUL FOR

Researchers, physicists, and students in applied mathematics or statistical mechanics who are interested in the mathematical foundations of diffusion processes.

sinusoid
Messages
1
Reaction score
0
hi all, i am a new member here. nice to meet you all.

i remember seeing a derivation of diffusion equation from the equation of motion \dot{x}=\eta(t) where \eta(t) is white noise. i can't remember where i saw this... could anyone please help me on that?

it should be something like starting with the gaussian form of noise and then inserting a delta function representing the equation of motion... but nothing more i can remember.

thanks very much!
 
Physics news on Phys.org
Try a google or bing search for "diffusion equation".
 
You are looking for a Langevin equation I believe.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
0
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 13 ·
Replies
13
Views
3K
  • · Replies 25 ·
Replies
25
Views
5K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
3K