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Cellular component counts and self-dual FK likelihoods on a finite square torus
Statement
For an integer , let be the labelled square cellulation obtained by quotienting the unit square cellulation of by . Its vertices are . For every , retain a horizontal edge label from to , a vertical edge label from to , and a square face label . All indices are modulo . Distinct labels remain distinct even when their endpoints agree: for this retains parallel edges, and for it retains two loops. In a face boundary retain its four edge occurrences before reducing coefficients modulo two. Thus and . The dual has vertices and a separate label crossing each primal label ; specifically joins to and joins to . Its faces correspond to primal vertices and use the dual square cellulation.
Let be the field with addition and multiplication modulo two. Let , , and have the indicated labelled bases. Define by summing the two endpoint occurrences of each edge, so a loop has zero boundary, and define by
Then and has dimension two. For , let be the coordinate subspace generated by its labels, put , and define
Let count all components of the spanning graph , including isolated vertices. Let , and let count all components of this dual spanning graph. Define by the same matrix construction on the dual cellulation. Then
For every real , set . Give both primal and dual graphs the finite FK law with parameter and identity boundary partition. Write and for their unnormalized weights, and for their laws, and for the image of under . Then
For every dual configuration , the two partition functions are equal and the exact normalized likelihood is
In particular this likelihood lies in , and hence also in . For every event ,
The same event bounds hold after any labelled graph isomorphism identifying the dual torus with the primal torus.
Statement references
Facts & Assumptions
Given: The labelled primal and dual square cellulations, their finite vector spaces and boundary maps, an open label set , and, for the probabilistic conclusions, real and .
With the identity boundary partition, the finite FK weight is , all weights are positive, and normalization divides by their finite positive sum (Finite FK random-cluster weights for real q and boundary partitions).
Proof
In the boundary of each face, every vertex occurrence occurs twice after applying , so . This includes identifications in a thin quotient: occurrences are added in , so repeated edges and endpoints cancel with their multiplicity rather than being removed beforehand. Both primal and dual graphs are connected, since horizontal and vertical steps modulo reach every coordinate pair. For each graph has a single vertex and is connected even though its edge labels are loops.
The labelled graph map sending to , to , and to is an isomorphism from the dual graph to the primal graph. It is bijective on both vertices and edge labels and preserves both endpoint occurrences; it also retains all parallel labels and loops at and . The induced bijection on edge subsets preserves their cardinalities and component counts. Consequently the ordinary primal and dual FK partition functions and are equal.
For any finite multigraph with vertices and components, its endpoint-incidence map over has rank . Indeed, within one component every edge vector has even coordinate sum, a subspace of dimension at most one less than the number of vertices. Fix a root in that component. For every other vertex, the sum of edge vectors along a path from the root to that vertex is the vector consisting of the root plus that vertex. These vectors are independent by their nonroot coordinates and attain that dimension. Summing over the disjoint components proves the rank formula; isolated vertices contribute zero rank and loops have zero incidence vector. In particular , and restriction to gives .
Write a two-chain as . Its coefficient on a primal edge with incident face occurrences is , including the zero sum when those faces agree. Thus exactly when the coefficients agree across every edge of the connected dual graph. Such coefficients are constant on all faces, and conversely every constant two-chain has zero boundary. Hence and . Together with and , step 2.1 gives . The dimension formulas used here follow by taking a basis of the kernel of a finite linear map and extending it to a basis of its domain: the images of the added vectors form a basis of its image. The corresponding quotient dimension is obtained by extending a basis of its subspace.
A two-chain satisfies exactly when its coefficients agree across every dual edge crossing a primal label outside . These are precisely the labels of . Its coefficients may therefore be chosen independently, and constantly, on the connected components of the dual spanning graph. The vector space has dimension . The restriction of to has image and kernel , the one-dimensional space of constant chains. Therefore .
Because , the kernel of is exactly . Its image has dimension by definition, so steps 2.1 and 4.1 give . The image is a subspace of the two-dimensional space , so . This proves the component identity without assuming that any open component is cellular or that any open boundary is a simple curve.
The dual cellulation is again a labelled square cellulation with and . Its endpoint and face-boundary maps have the same incidence descriptions used in the preceding matrix argument, including all thin-quotient occurrences. Applying the proved component identity to its open set , whose complementary double-dual set is , gives . Substitute , , and the identity from step 5.1; the resulting equality is . Thus .
At the stated parameter, . By [F1], , and , the primal-to-dual weight ratio is . The component identity in step 5.1 makes this exponent . This proves the asserted exact unnormalized ratio.
For a fixed dual configuration , let be its unique complement-edge preimage. The definition of pushforward gives , while . By steps 6.2 and 1.2 their ratio is . Step 6.1 gives , proving the exact normalized likelihood. Since and , that likelihood belongs to . Positivity in [F1] ensures every denominator is nonzero.
Multiply the weaker pointwise bounds of step 7.1 by and sum over to obtain the stated event comparison, including empty events. Any labelled graph isomorphism of the dual torus with the primal torus preserves the ordinary FK weights by the same cardinality and component-count argument as in step 1.2. Pushing both laws and the event through that bijection therefore preserves the event bounds. This completes all claims.
Remarks
This is a finite matrix and component-count proof of the torus-sector correction. It does not assume any RSW crossing estimate or any mixed-boundary reflection construction.
The primary source was read through its complete Sections 1--2, printed pp. 3--14, including equations (1.5)--(1.6), Theorem 5, Lemmas 6--7, and Proposition 8. Its Sections 3--5 and cited references were not checked. The proof here replaces its net/cycle sector description by the explicit finite-matrix rank and proves every component identity used above locally.