Mobility Matters
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Compression

Particles following a local stochastic rule must gather into a configuration with small perimeter.

Problem statement and measuresexpand

Starting connected, the \(n\) particles perform a Markov chain (at each step one particle, chosen at random, proposes a move and accepts it with a probability that depends only on its neighbourhood) with bias \(\lambda\) towards having more neighbours. The system is \(\alpha\)-compressed if its perimeter is at most \(\alpha\) times the minimum possible.

Measures: Time, asynchronous rounds; Moves, total expansions and contractions (work).

tight near-optimal polynomial gap unknown impossible· rows follow the assumption tree; each cell: best upper bound vs lower bound, and what forces the lower bound
Setting
Time
Moves
Markov chain, sequential + constant memory, + sequential, + randomized
1 open · 1 results
unknown \(\text{eventually}\) vs —
unknown — vs —

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