- http://link.springer.com/article/10.1007%2Fs00220-014-2158-y
Final published version

- http://arxiv.org/abs/1309.2194
Other version

Research output: Contribution to journal › Journal article › peer-review

Published

**Small-particle limits in a regularized Laplacian random growth model.** / Johansson Viklund, Fredrik; Sola, Alan; Turner, Amanda.

Research output: Contribution to journal › Journal article › peer-review

Johansson Viklund, F, Sola, A & Turner, A 2015, 'Small-particle limits in a regularized Laplacian random growth model', *Communications in Mathematical Physics*, vol. 334, no. 1, pp. 331-366. https://doi.org/10.1007/s00220-014-2158-y

Johansson Viklund, F., Sola, A., & Turner, A. (2015). Small-particle limits in a regularized Laplacian random growth model. *Communications in Mathematical Physics*, *334*(1), 331-366. https://doi.org/10.1007/s00220-014-2158-y

Johansson Viklund F, Sola A, Turner A. Small-particle limits in a regularized Laplacian random growth model. Communications in Mathematical Physics. 2015 Feb 1;334(1):331-366. https://doi.org/10.1007/s00220-014-2158-y

@article{3fbda35512ec4547903a025a8cc16f2d,

title = "Small-particle limits in a regularized Laplacian random growth model",

abstract = "We study a regularized version of Hastings-Levitov planar random growth that models clusters formed by the aggregation of diffusing particles. In this model, the growing clusters are defined in terms of iterated slit maps whose capacities are given by c_n=c|\Phi_{n-1}'(e^{\sigma+i\theta_n})|^{-\alpha}, \alpha \geq 0, where c>0 is the capacity of the first particle, {\Phi_n}_n are the composed conformal maps defining the clusters of the evolution, {\theta_n}_n are independent uniform angles determining the positions at which particles are attached, and \sigma>0 is a regularization parameter which we take to depend on c. We prove that under an appropriate rescaling of time, in the limit as c converges to 0, the clusters converge to growing disks with deterministic capacities, provided that \sigma does not converge to 0 too fast. We then establish scaling limits for the harmonic measure flow, showing that by letting \alpha tend to 0 at different rates it converges to either the Brownian web on the circle, a stopped version of the Brownian web on the circle, or the identity map. As the harmonic measure flow is closely related to the internal branching structure within the cluster, the above three cases intuitively correspond to the number of infinite branches in the model being either 1, a random number whose distribution we obtain, or unbounded, in the limit as c converges to 0. We also present several findings based on simulations of the model with parameter choices not covered by our rigorous analysis.",

keywords = "Random growth models, Scaling limits, Loewner differential equation, Harmonic measure flow, Brownian web",

author = "{Johansson Viklund}, Fredrik and Alan Sola and Amanda Turner",

note = "35 pages, 20 figures",

year = "2015",

month = feb,

day = "1",

doi = "10.1007/s00220-014-2158-y",

language = "English",

volume = "334",

pages = "331--366",

journal = "Communications in Mathematical Physics",

issn = "0010-3616",

publisher = "Springer New York",

number = "1",

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T1 - Small-particle limits in a regularized Laplacian random growth model

AU - Johansson Viklund, Fredrik

AU - Sola, Alan

AU - Turner, Amanda

N1 - 35 pages, 20 figures

PY - 2015/2/1

Y1 - 2015/2/1

N2 - We study a regularized version of Hastings-Levitov planar random growth that models clusters formed by the aggregation of diffusing particles. In this model, the growing clusters are defined in terms of iterated slit maps whose capacities are given by c_n=c|\Phi_{n-1}'(e^{\sigma+i\theta_n})|^{-\alpha}, \alpha \geq 0, where c>0 is the capacity of the first particle, {\Phi_n}_n are the composed conformal maps defining the clusters of the evolution, {\theta_n}_n are independent uniform angles determining the positions at which particles are attached, and \sigma>0 is a regularization parameter which we take to depend on c. We prove that under an appropriate rescaling of time, in the limit as c converges to 0, the clusters converge to growing disks with deterministic capacities, provided that \sigma does not converge to 0 too fast. We then establish scaling limits for the harmonic measure flow, showing that by letting \alpha tend to 0 at different rates it converges to either the Brownian web on the circle, a stopped version of the Brownian web on the circle, or the identity map. As the harmonic measure flow is closely related to the internal branching structure within the cluster, the above three cases intuitively correspond to the number of infinite branches in the model being either 1, a random number whose distribution we obtain, or unbounded, in the limit as c converges to 0. We also present several findings based on simulations of the model with parameter choices not covered by our rigorous analysis.

AB - We study a regularized version of Hastings-Levitov planar random growth that models clusters formed by the aggregation of diffusing particles. In this model, the growing clusters are defined in terms of iterated slit maps whose capacities are given by c_n=c|\Phi_{n-1}'(e^{\sigma+i\theta_n})|^{-\alpha}, \alpha \geq 0, where c>0 is the capacity of the first particle, {\Phi_n}_n are the composed conformal maps defining the clusters of the evolution, {\theta_n}_n are independent uniform angles determining the positions at which particles are attached, and \sigma>0 is a regularization parameter which we take to depend on c. We prove that under an appropriate rescaling of time, in the limit as c converges to 0, the clusters converge to growing disks with deterministic capacities, provided that \sigma does not converge to 0 too fast. We then establish scaling limits for the harmonic measure flow, showing that by letting \alpha tend to 0 at different rates it converges to either the Brownian web on the circle, a stopped version of the Brownian web on the circle, or the identity map. As the harmonic measure flow is closely related to the internal branching structure within the cluster, the above three cases intuitively correspond to the number of infinite branches in the model being either 1, a random number whose distribution we obtain, or unbounded, in the limit as c converges to 0. We also present several findings based on simulations of the model with parameter choices not covered by our rigorous analysis.

KW - Random growth models

KW - Scaling limits

KW - Loewner differential equation

KW - Harmonic measure flow

KW - Brownian web

U2 - 10.1007/s00220-014-2158-y

DO - 10.1007/s00220-014-2158-y

M3 - Journal article

VL - 334

SP - 331

EP - 366

JO - Communications in Mathematical Physics

JF - Communications in Mathematical Physics

SN - 0010-3616

IS - 1

ER -