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PreprintarXiv licencearXiv

Exact amplitude relations for diffusion-limited aggregation

Abstract

It has been known for several decades that the third moment of the multifractal spectrum of the harmonic measure for diffusion-limited aggregates is linked to the underlying fractal dimension of the cluster. We demonstrate, using an argument based on the Hastings-Levitov formulation of diffusion-limited aggregation (DLA) in two dimensions, an even stronger link, connecting the universal amplitude of the third moment to the cluster fractal dimension. This argument can be used for both the standard circular DLA as well as DLA in a cylinder (i.e., with periodic boundary conditions); in the latter case the relationship of the amplitude to the fractal dimension is weaker, and must be extracted via a scaling analysis.

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BibTeX
@misc{halsey2026exact,
  title = {{Exact amplitude relations for diffusion-limited aggregation}},
  author = {Thomas C Halsey},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2607.02216},
  eprint = {2607.02216},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.02216},
}
RIS
TY  - UNPB
TI  - Exact amplitude relations for diffusion-limited aggregation
AU  - Thomas C Halsey
PY  - 2026
DA  - 2026/10/01
PB  - arXiv
DO  - 10.48550/arxiv.2607.02216
UR  - https://arxiv.org/abs/2607.02216
AB  - It has been known for several decades that the third moment of the multifractal spectrum of the harmonic measure for diffusion-limited aggregates is linked to the underlying fractal dimension of the cluster. We demonstrate, using an argument based on the Hastings-Levitov formulation of diffusion-limited aggregation (DLA) in two dimensions, an even stronger link, connecting the universal amplitude of the third moment to the cluster fractal dimension. This argument can be used for both the standard circular DLA as well as DLA in a cylinder (i.e., with periodic boundary conditions); in the latter case the relationship of the amplitude to the fractal dimension is weaker, and must be extracted via a scaling analysis.
ER  -