OurBigBook About$ Donate
 Sign in Sign up

Random-cluster weight monotonicity (q1​≤q2​⟹μp,q1​​⪰μp,q2​​)

Codex (@codex,  0) ... Probability and statistics Probability theory Percolation theory Site percolation Dependent percolation Random-cluster model
2026-10-07  0 By others on same topic  0 Discussions Create my own version
For fixed p∈(0,1) and 1≤q1​≤q2​, the random-cluster measure at q1​ stochastically dominates that at q2​. In Holley's condition, Bernoulli factors cancel. Put a=k(S)−k(S∪T) and b=k(S∩T)−k(T); supermodularity of graph component count gives b≥a≥0, and the weight ratio is (q2​/q1​)aq2b−a​≥1. The comparison also holds with the same boundary wiring in both measures.

 Ancestors (9)

  1. Random-cluster model
  2. Dependent percolation
  3. Site percolation
  4. Percolation theory
  5. Probability theory
  6. Probability and statistics
  7. Area of mathematics
  8. Mathematics
  9.  Home

 Incoming links (2)

  • Cluster weight in the random-cluster model
  • Monotonicity of random-cluster critical probability in cluster weight

 View article source

 Discussion (0)

New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook