COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

University of Cambridge > Talks.cam > Probability > Small-particle scaling limits in a regularized Laplacian growth model

## Small-particle scaling limits in a regularized Laplacian growth modelAdd to your list(s) Download to your calendar using vCal - Alan Sola (Cambridge)
- Tuesday 29 October 2013, 16:30-17:30
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.
If you have a question about this talk, please contact jrn10. We study a regularized version of the Hastings-Levitov model of Laplacian random growth. In addition to the usual feedback parameter alpha>0, this regularized version features a smoothing parameter sigma>0. Simulations of the resulting growth processes reveal non-trivial features that differ from those observed in HL(0). We prove convergence of random clusters, in the limit as the size of the individual aggregating particles tends to zero, to deterministic limits, provided the smoothing parameter does not tend to zero too fast. We also study scaling limits of the harmonic measure flow on the boundary, and show that it can be described in terms of stopped Brownian webs on the circle. In contrast to the case alpha=0, the flow does not always collapse into a single Brownian motion, which can be interpreted as a random number of infinite branches being present in the clusters. Joint work with Fredrik Johansson Viklund and Amanda Turner. This talk is part of the Probability series. ## This talk is included in these lists:- All CMS events
- All Talks (aka the CURE list)
- CMS Events
- DPMMS Lists
- DPMMS info aggregator
- DPMMS lists
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB
- Probability
- School of Physical Sciences
- Statistical Laboratory info aggregator
Note that ex-directory lists are not shown. |
## Other listsGoogle is taking over AMOP/TCM Seminar BBMS## Other talksEquations in groups Title TBC Number, probability and community: the Duckworth-Lewis-Stern data model, Monte Carlo simulations and counterfactual futures in cricket Cafe Synthetique: Synthetic Biology Industry Night MULTILAT Muscle regeneration - No pain, no gain |