Diffusive Scaling - How does it work

  • Context: Graduate 
  • Thread starter Thread starter jbunten
  • Start date Start date
  • Tags Tags
    Scaling Work
Click For Summary
SUMMARY

Diffusive scaling in one dimension indicates that increasing the size of a cell by a factor of 20 results in an increase in average diffusion time by a factor of 400. This relationship is derived from the mathematical theory of diffusion, specifically Brownian motion, where the variance of particle distribution is proportional to time. Consequently, the distance spread is proportional to the square root of time, establishing that time is proportional to the square of the distance spread.

PREREQUISITES
  • Understanding of Brownian motion
  • Familiarity with mathematical concepts of variance and distribution
  • Knowledge of diffusion processes
  • Basic grasp of scaling laws in physics
NEXT STEPS
  • Research "Brownian motion" for a deeper understanding of particle diffusion
  • Study "variance in probability distributions" to grasp its role in diffusion
  • Explore "scaling laws in physics" to understand their applications
  • Investigate "diffusion equations" for mathematical modeling of diffusion processes
USEFUL FOR

Students and researchers in physics, mathematicians studying stochastic processes, and professionals involved in materials science or any field requiring an understanding of diffusion phenomena.

jbunten
Messages
86
Reaction score
0
I am reading that diffusive scaling in one dimension means that "increasing the size of a cell by a factor of 20 increases average diffusion time by a factor of 400". I can't find anything on diffusive scaling. Can anyone give me an explanation of this?

Thanks
 
Physics news on Phys.org
jbunten said:
I am reading that diffusive scaling in one dimension means that "increasing the size of a cell by a factor of 20 increases average diffusion time by a factor of 400". I can't find anything on diffusive scaling. Can anyone give me an explanation of this?

Thanks
The mathematical theory of diffusion (Brownian motion) has particles spreading out randomly with a normal distribution, where the variance is proportional to time. This means the distance spreading (square root of variance) is proportional to the square root of time, or time is proportional to the square of the distance spread. In your example 400 (time) is proportional to to the square of distance (20).

You can google "Brownian motion" or "diffusion" to get more details.
 
Thanks for your excellent reply mathman.
 

Similar threads

  • · Replies 22 ·
Replies
22
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 31 ·
2
Replies
31
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 35 ·
2
Replies
35
Views
4K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 1 ·
Replies
1
Views
10K
  • · Replies 5 ·
Replies
5
Views
3K