The Annals of Applied Probability
- Ann. Appl. Probab.
- Volume 27, Number 2 (2017), 651-685.
Reconstruction of a multidimensional scenery with a branching random walk
We consider a $d$-dimensional scenery seen along a simple symmetric branching random walk, where at each time each particle gives the color record it observes. We show that up to equivalence the scenery can be reconstructed a.s. from the color record of all particles. To do so, we assume that the scenery has at least $2d+1$ colors which are i.i.d. with uniform probability. This is an improvement in comparison to Popov and Pachon [Stochastics 83 (2011) 107–116], where at each time the particles needed to see a window around their current position, and in Löwe and Matzinger [Ann. Appl. Probab. 12 (2002) 1322–1347], where the reconstruction is done for $d=2$ with a single particle instead of a branching random walk, but millions of colors are necessary.
Ann. Appl. Probab., Volume 27, Number 2 (2017), 651-685.
Received: March 2014
Revised: June 2015
First available in Project Euclid: 26 May 2017
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Matzinger, Heinrich; Pachon, Angelica; Popov, Serguei. Reconstruction of a multidimensional scenery with a branching random walk. Ann. Appl. Probab. 27 (2017), no. 2, 651--685. doi:10.1214/16-AAP1183. https://projecteuclid.org/euclid.aoap/1495764363