Separation of coloured particles
Particles of two colours, following a local stochastic rule, must cluster by colour (or mix).
Problem statement and measuresexpand
Each particle has one of two colours. Particles run a local Markov chain with a bias \(\lambda\) towards more neighbours and a bias \(\gamma\) towards neighbours of the same colour. The system should be compressed and separated (few pairs of neighbours of different colours), or integrated (colours mixed), with high probability in the stationary distribution.
Measures: Time, asynchronous rounds; Moves, total expansions and contractions (work).
Markov chain, sequential
standard settingverifiedOne local algorithm separates or integrates the colours depending on a single global parameter.
Assumed (added on the last edge are outlined)
Not assumed
Formal definitions of this setting
- Memory: constant memory
- Each particle has \(O(1)\) bits of persistent memory and reads or writes neighbours' memory.
- Scheduler: sequential
- At most one particle is active at any time.
- Orientation: no orientation
- Each particle labels its six incident directions in its own clockwise or counter-clockwise order, starting anywhere.
- Randomness: randomized
- Particles flip fair coins; guarantees hold with high probability or in expectation.
- Initial shape: holes allowed
- The initial set of occupied nodes induces a connected subgraph; it may enclose empty regions.
- Connectivity during execution: stays connected
- At every time the occupied nodes induce a connected subgraph.
What is known
Results, in order of publication
Introductory and current best; proofs use cluster expansions and the high-temperature expansion of the Ising model.
Open questions
Bounds on the convergence (mixing) time.
Know a better result for this setting, or found a mistake? Suggest a result · Report an error. Accepted contributions are acknowledged.