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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
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Rooted connected polymer sums obey the tree majorant

Statement

Let (Γ,∼,z) be an abstract polymer model, and let a:Γ→[0,∞). Interpret each countable sum over polymer labels of nonnegative terms as the supremum of its finite subsums in [0,+∞], and interpret a nonnegative series as the supremum of its increasing partial sums in [0,+∞]. Suppose

∑η∼γ∣zη∣eaη≤aγ(γ∈Γ).

For each fixed root γ∈Γ, define the nonnegative rooted connected-cluster sum

Rγ:=∑n=1∞1(n−1)!∑γ2,…,γn∈Γ∣Un(γ,γ2,…,γn)∣∏j=2n∣zγj∣

Then Rγ is well-defined as a possibly extended nonnegative series and satisfies Rγ≤eaγ.

Facts & Assumptions

Given: The abstract polymer model and the function a in the Statement.

[F1]

Abstract polymer model and connected coefficients, A finite simple graph is a finite vertex set together with a set of two-element vertex subsets: countable means finite or bijective with N; a simple graph has an edge set of unordered two-element vertex subsets; paths are finite vertex lists with distinct vertices and consecutive edges; connected means joined by a path; a tree is connected and has no cycle; Un sums over connected simple graphs with edge weight −1{γi∼γj}∈{−1,0}, so Un is real-valued; a graph on the finite vertex set [n] is finite.

[F2]

The real exponential function and the number e by a power series: for real u, eu=∑k=0∞uk/k!.

[F3]

The exponential function is strictly increasing: the real exponential is continuous and strictly increasing.

[F4]

Real and imaginary parts, complex conjugation, and modulus, Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive: if z=x+iy, then ∣z∣=x2+y2; complex modulus is nonnegative, multiplicative, and satisfies ∣z+w∣≤∣z∣+∣w∣.

[F5]

Absolute value in an ordered field, Basic properties of the absolute value, The triangle inequality: real absolute value is x for x≥0 and −x for x<0; it is nonnegative, multiplicative, and satisfies the triangle inequality.

[F6]

The factorial n! and the falling factorial nk‾, defined by recursion in N, Series in the nonnegative extended real line: n! is the factorial, and a nonnegative extended series is the supremum of its increasing partial sums in [0,+∞].

[F7]

Finite sums and finite products, by recursion, Laws of finite sums and finite products, and The sum ∑i∈Sai over a finite index set, and its product form: finite sums are defined by recursion and over finite sets by any enumeration-independent ordering; finite sums of real absolute values obey the triangle inequality by induction from the two-term triangle inequality.

[F8]

Spanning trees of a graph, A finite graph is connected if and only if it has a spanning tree: a spanning tree has the same vertex set and an edge set contained in the graph's edge set; every finite connected graph has a spanning tree.

[F9]

The set of spanning trees of a finite graph is finite, Maximum and minimum of a set, Every nonempty finite set of reals has a maximum and a minimum: a finite graph has finitely many spanning trees, and every nonempty finite set of real edge-rank sums has a minimum.

[F10]

The canonical natural ι(n)=n⋅1F of a field, Canonical naturals are positive and strictly increasing, Ordered field, Order is preserved by adding a constant and by adding inequalities: the rank ρ(ek)=k⋅1R is strictly increasing with k, and adding the same finite rank sum preserves strict inequality. The natural-embedding result is published with a locally reviewed proof and no independent audit stamp.

[A1]

For every γ∈Γ, ∑η∼γ∣zη∣eaη≤aγ.

Proof

Given: The graph coefficient Un and the rooted majorant condition [A1].

1.1F1F5F7F8F9F10algebra

Fix n≥2 and a tuple (γ1,…,γn), and let H be the simple graph on [n] whose edge {i,j} is present exactly when γi∼γj. By [F1], Un=∑G⊆H, G connected(−1)∣E(G)∣. Here the complete graph on [n] has edge set ([n]2), and G⊆H means that G has the same vertex set and E(G)⊆E(H). Represent each edge {i,j} with i<j by (i,j) and order these pairs lexicographically, first by i and then by j; list the edges as e1<lex⋯<lexem and assign rank ρ(ek)=k⋅1R. For a tree T, its rank sum is ∑e∈E(T)ρ(e). By [F8], each connected graph G has a spanning tree; by [F9], its spanning trees form a finite nonempty set, so their finite real rank sums have a minimum. A tree has a unique path between any two vertices: connectedness gives a path, and two distinct paths would contain a cycle between their first divergence and next common vertex, contradicting acyclicity. Here is the cut and exchange argument used below. Let f={u,v} be an edge of a tree T. There is no u-v path in T−f, since such a path together with f would be a cycle in T. For any vertex w, the unique T-path from u to w either avoids f, or crosses f from u to v and then has a suffix from v to w avoiding f. Thus every vertex is reachable from u or from v in T−f, but not both: reachability from both would concatenate to a u-v walk avoiding f, and deleting repeated-vertex portions of a finite walk gives a path, contradicting the preceding observation. Vertices reachable from the same endpoint are joined by concatenating their endpoint paths and deleting repetitions. Hence T−f has exactly two connected components, with vertex sets Cu,Cv, and no remaining tree edge crosses this partition; call it the cut of f. If e={x,y}∉E(T) and f lies on its unique T-path, then x,y lie in opposite components, for otherwise a path in T−f would contradict uniqueness of the T-path. Adding e to T−f joins the two components, so T−f+e is connected. It is acyclic: a cycle would have to use e since T−f is acyclic, and removing e from that cycle would give a path in T−f between opposite components. Thus T−f+e is a spanning tree on the same vertex set. Every path from one side of any such cut to the other has a crossing edge, by considering the first vertex at which its finite vertex list changes sides. The minimum-rank-sum spanning tree is unique: if distinct minimizing trees T,S existed, take the least-ranked edge e in their symmetric difference and, after swapping their names if needed, take e∈T∖S. Deleting e from T gives a cut crossed by the S-path between the endpoints of e; a crossing edge f on that path lies in S∖T, and replacing f by the earlier edge e lowers the rank sum of S by [F10], a contradiction. For a tree T, let A(T)⊆([n]2)∖E(T) consist of the edges later than every edge on their unique T-path. If G contains T and a non-tree edge e is earlier than a path edge f, then T−f+e is a spanning tree of lower rank sum by [F10], so T is not minimum. Conversely, if every non-tree edge of G is later than every edge on its T-path, then for each f∈T every other edge of G crossing the cut made by deleting f is later than f. Choose a minimum-rank-sum spanning tree S of G, which exists by [F8]–[F9]. If S omitted f, the S-path between the endpoints of f crosses this cut at an edge e; adding f to S and deleting that path edge e gives a spanning tree with lower rank sum by [F10], contradicting minimality of S. Hence S contains every edge f of T and equals T: any additional edge would form a cycle with its T-path. Thus T is the unique minimum tree of G exactly when T⊆G⊆T∪A(T). Consequently, connected subgraphs of H split into disjoint classes indexed by trees T⊆H, each class consisting of T∪A for A⊆A(T)∩E(H). The signed sum in one class is (−1)n−1(1−1)∣A(T)∩E(H)∣, whose real absolute value is at most 1. Applying the finite-sum triangle inequality from [F5, F7] to the class contributions gives ∣Un(γ1,…,γn)∣≤∑T∈Tn∏{i,j}∈E(T)1{γi∼γj}. For n=1 both sides equal 1.

1.2A1F1F2F3F4F6algebra

A rooted tree means a tree with one distinguished vertex; its height is the greatest number of edges in a path from that root. A size-n labelled tree here has vertex set [n], and in Sγ(k) its root is label 1; removing the root separates it into child subtrees. For fixed root label 1 of type γ, let Sγ(k) be the nonnegative sum over all such finite rooted labelled trees of height at most k, with all other vertex types summed over Γ, each non-root vertex of type η weighted by ∣zη∣, each edge weighted by 1{η∼η′}, and each size-n sum divided by (n−1)!. The root has weight 1, so Sγ(0)=1. At height at most k+1, the root has m child subtrees of height at most k. For ordered subtree sizes n1,…,nm, assigning the n−1 labels to the ordered branch vertex sets contributes (n−1)!/(n1!⋯nm!). In each branch there are nj choices for its child-root label; with the fixed-root subtree sum normalized by (nj−1)!, the factor nj(nj−1)!/nj! is 1. The parent normalization (n−1)! therefore leaves the product of the branch weights, and division by m! removes the ordering of the branches. Since Γ is finite or in bijection with N, increasing finite type and size cutoffs exhaust the choices; by the nonnegative-sum convention [F6], the branch decomposition gives the corresponding countable-sum identity. Now suppose Sη(k)≤eaη for every η. The sum Aγ(k):=∑η∼γ∣zη∣Sη(k) then satisfies 0≤Aγ(k)≤aγ<∞ by [A1]. The branch identity is therefore the convergent exponential series Sγ(k+1)=∑m=0∞(Aγ(k))m/m!=eAγ(k), so monotonicity of the real exponential [F3] gives Sγ(k+1)≤eaγ. Since Sγ(0)=1≤eaγ by [F2], induction gives this bound for every k. The nonnegative sums increase with k and every finite tree has finite height, so their limit is the full rooted tree sum and is at most eaγ.

2.1step 1.1step 1.2∎

Apply the pointwise graph-to-tree bound of step 1.1 to each tuple in the definition of Rγ. All weights are nonnegative after taking absolute values, so summing over the countable polymer labels and then over n preserves the inequality; the right side is the rooted tree sum bounded in step 1.2. Hence Rγ≤eaγ.

Depends on

Dependency tree · 2 levels

Sources