How Do Surfaces Grow?


Le Chen

le.chen@auburn.edu
Department of Mathematics and Statistics
Auburn University

Auburn Summer Science Institute (AU-SSI)
Auburn, AL, June 6, 2025

NSF

DMS-Probability: No. 2246850
(2023-2026)

Simons

No. 959981
(2022-2027)

Two graduate students who have been working on this project throughout

Math 7820/30: Applied Stochastic Processes (2023/24):

Sand pile at the beach vs Snow pile in winter

Contrasting Sand and Snow Piles

Image created by OpenAI's DALL-E

Simulation by Tetris-Ballistic package

Central Limit Theorem (CLT)

Galton Box

Video from by Wikipeidia

Video created by 3Blue1Brown

Population Height Distribution

(by Demographics)

Video created by 3Blue1Brown

Experiments with weighted dices

Video created by 3Blue1Brown

Mean and standard deviation

Video created by 3Blue1Brown

General ideas of CLT

Video created by 3Blue1Brown

Large N

Independent of underlying details

Video created by 3Blue1Brown

Assumptions for CLT

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Complete video by 3Blue1Brown


Quizzes

What does the Central Limit Theorem say?


  • A. The mean of a sample is always equal to the mean of the population
  • B. The shape of any population is always normal
  • C. The distribution of sample means tends to be normal as sample size increases
  • D. All distributions have the same standard deviation



Show Answer

Correct Answer: C

Which of the following is a requirement for the CLT to work well?


  • A. The original data must be normal
  • B. The sample size must be large enough
  • C. You must only sample once
  • D. All data must be integers



Show Answer

Correct Answer: B

Which kind of population shape can the CLT handle?


  • A. Skewed
  • B. Bumpy
  • C. Uniform
  • D. All of the above



Show Answer

Correct Answer: D

Which of the following is likely not independent?


  • A. Rolling a die 50 times
  • B. Measuring height of 50 random people
  • C. Recording daily temperatures for 50 days in a row
  • D. Tossing a coin



Show Answer

Correct Answer: C

Simulation by Tetris-Ballistic package

Nonsticky

Sticky

Growing interfaces in a thin film

[4] K. A. Takeuchi, M. Sano, T. Sasamoto, and H. Spohn. Growing interfaces uncover universal fluctuations behind scale invariance. Sci. Rep., 1(1):1--5, 2011. [ bib ]

Other examples

Paper inking

[1] A.-L. Barabási and H. E. Stanley. Fractal concepts in surface growth. Cambridge University Press, Cambridge, 1995. [ bib | DOI | http ]

Paper burning

[5] J. Zhang, Y.-C. Zhang, P. Alstrøm, and M. Levinsen. Modeling forest fire by a paper-burning experiment, a realization of the interface growth mechanism. Phys. A: Stat. Mech. Appl., 189(3):383--389, 1992. [ bib | DOI | http ]

Snow pile in one dimension

[1] A.-L. Barabási and H. E. Stanley. Fractal concepts in surface growth. Cambridge University Press, Cambridge, 1995. [ bib | DOI | http ]

Why doesn’t the Central Limit Theorem work for surface growth models?


  • A. Because the surface never grows
  • B. Because particles always fall in the same place
  • C. Because the heights at different locations are not independent
  • D. Because the average height is always zero



Show Answer

Correct Answer: C

What makes surface growth models more delicate than standard random sampling?


  • A. They are just harder to simulate
  • B. The interactions between sites introduce dependencies
  • C. The surface must be flat
  • D. We can only drop one particle at a time



Show Answer

Correct Answer: B

Tetris Pieces?

Are there any non KPZ types?
But when it is sticky...

Any crossover of Gaussian and KPZ?

5% nonsticky + 95% sticky

Log-Log Plot 05%

50% nonsticky + 50% sticky

Log-Log Plot 50%

90% nonsticky + 10% sticky

Log-Log Plot 90%

95% nonsticky + 5% sticky

Log-Log Plot 95%

98% nonsticky + 2% sticky

Original 98%

99% nonsticky + 1% sticky

Log-Log Plot 99%

Install

PyPI: Tetris Ballistic

Visit on PyPI

Source code

GitHub: Simulations on Some Surface Growth Models

Visit on GitHub

Diffusion-limited aggregation (DLA)

[5] T. A. Witten and L. M. Sander. Diffusion-limited aggregation, a kinetic critical phenomenon. Phys. Rev. Lett., 47:1400--1403, 1981-11. [ bib | DOI | http ]

Simulation by markstock/dla-nd

Thank you!