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Wired random-cluster measures decrease with the box

48 fully proved

A. Conditioning on the configuration outside the inner box

DefinitionOuter part of a configuration on \(\Lambda_{n+1}\)#✓fully proved

Project a configuration on Λ_(n+1) to its outer part: edges of Λ_n closed, the others unchanged.

noncomputable def outProj (d n : ℕ) (ρ : ConfigSpace (Sym2 (boxVerts d (n + 1)))) :
    ConfigSpace (Sym2 (boxVerts d (n + 1))) :=
  psiExt d n ρ (fun _ => false)
Uses 3 · Used by 11

LemmaOuter projection closes the edges of \(\Lambda_n\)#✓fully proved

The projection closes edges of Λ_n.

lemma outProj_eq_false_of_range (n : ℕ) (ρ : ConfigSpace (Sym2 (boxVerts d (n + 1))))
    {e : Sym2 (boxVerts d (n + 1))} (he : e ∈ Set.range (innerEdge d n)) :
    outProj d n ρ e = false
Uses 8 · Used by 2

LemmaOuter projection keeps the edges outside \(\Lambda_n\)#✓fully proved

The projection keeps edges outside Λ_n.

lemma outProj_eq_of_not_range (n : ℕ) (ρ : ConfigSpace (Sym2 (boxVerts d (n + 1))))
    {e : Sym2 (boxVerts d (n + 1))} (he : e ∉ Set.range (innerEdge d n)) :
    outProj d n ρ e = ρ e
Uses 7 · Used by 3

LemmaOuter projection agrees with the configuration off \(\Lambda_n\)#✓fully proved

The projection agrees with the configuration off the edges of Λ_n.

lemma agreesOff_outProj (n : ℕ) (ρ : ConfigSpace (Sym2 (boxVerts d (n + 1)))) :
    AgreesOff (innerEdgeFinset d n) (outProj d n ρ) ρ
Uses 9

LemmaOuter projection is idempotent#✓fully proved

The projection is idempotent.

lemma outProj_idem (n : ℕ) (ρ : ConfigSpace (Sym2 (boxVerts d (n + 1)))) :
    outProj d n (outProj d n ρ) = outProj d n ρ
Uses 8 · Used by 4

LemmaConfigurations with a given outer part form its conditioning fibre#✓fully proved

The configurations with outer part ψ form the conditioning fibre of ψ.

lemma filter_outProj_eq_condFibre (n : ℕ) (ψ : ConfigSpace (Sym2 (boxVerts d (n + 1))))
    (hψ : outProj d n ψ = ψ) :
    Finset.univ.filter (fun ρ => outProj d n ρ = ψ)
      = condFibre (innerEdgeFinset d n) ψ
Uses 11 · Used by 4

LemmaConfigurations agreeing off \(F\) have the same conditioning fibre#✓fully proved

Configurations agreeing off F have the same conditioning fibre.

lemma condFibre_congr_dom {V : Type*} [Fintype V] [DecidableEq V]
    {F : Finset (Sym2 V)} {ψ ψ' : ConfigSpace (Sym2 V)} (h : AgreesOff F ψ ψ') :
    condFibre F ψ = condFibre F ψ'
Uses 3 · Used by 1

LemmaConfigurations agreeing off \(F\) have equal conditional probabilities#✓fully proved

Configurations agreeing off F give the same conditional random-cluster probabilities.

lemma condBcProb_congr_dom {V : Type*} [Fintype V] [DecidableEq V] (G C : SimpleGraph V)
    [DecidableRel G.Adj] [DecidableRel C.Adj]
    (p q : ℝ) (F : Finset (Sym2 V)) (ψ ψ' ω : ConfigSpace (Sym2 V)) (h : AgreesOff F ψ ψ') :
    condBcProb G C p q F ψ ω = condBcProb G C p q F ψ' ω
Uses 7 · Used by 2

LemmaMasses of the conditioning fibres sum to one#✓fully proved

The masses of the conditioning fibres over all outer configurations sum to 1.

lemma sum_fibreMass_eq_one (n : ℕ) {p q : ℝ} (hp : 0 < p) (hp1 : p < 1) (hq : 0 < q) :
    ∑ ψ ∈ Finset.univ.filter (fun ψ => outProj d n ψ = ψ),
        (∑ σ ∈ condFibre (innerEdgeFinset d n) ψ,
          bcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p q σ) = 1
Uses 18 · Used by 1

LemmaWired \(\Lambda_{n+1}\) measure decomposed over outer configurations#✓fully proved

Decomposition of the wired measure on Λ_(n+1) over the configuration outside Λ_n.

lemma wiredSucc_bcProb_decompose (n : ℕ) {p q : ℝ} (hp : 0 < p) (hp1 : p < 1) (hq : 0 < q)
    (B : Set (ConfigSpace (Sym2 (boxVerts d (n + 1))))) :
    (∑ ρ, B.indicator (fun _ => (1 : ℝ)) ρ
        * bcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p q ρ)
      = ∑ ψ ∈ Finset.univ.filter (fun ψ => outProj d n ψ = ψ),
          (∑ σ ∈ condFibre (innerEdgeFinset d n) ψ,
            bcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p q σ)
          * (∑ ρ, B.indicator (fun _ => (1 : ℝ)) ρ
              * condBcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p q
                  (innerEdgeFinset d n) ψ ρ)
Uses 20 · Used by 1

B. Domination by the smaller wired box

LemmaConditional wired decrease on inner increasing events for \(q \ge 1\)#✓fully proved

For q ≥ 1, conditionally on any outer configuration, the wired measure on Λ_(n+1) gives an increasing event of Λ_n at most its wired Λ_n probability.

lemma condBcProb_innerRestrict_le (n : ℕ) {p q : ℝ} (hp : 0 < p) (hp1 : p < 1) (hq : 1 ≤ q)
    (ψ : ConfigSpace (Sym2 (boxVerts d (n + 1))))
    {A₀ : Set (ConfigSpace (Sym2 (boxVerts d n)))} (hA₀ : IsIncreasing A₀) :
    (∑ ρ, (innerRestrict d n ⁻¹' A₀).indicator (fun _ => (1 : ℝ)) ρ
        * condBcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p q
            (innerEdgeFinset d n) ψ ρ)
      ≤ ∑ ω, A₀.indicator (fun _ => (1 : ℝ)) ω
          * wiredFkProb (boxGraph d n) (boxBoundary d n) p q ω
Uses 24 · Used by 1

LemmaWired box measures decrease on inner increasing events for \(q \ge 1\)#✓fully proved

For q ≥ 1, the wired measure on Λ_(n+1) gives an increasing event of Λ_n at most its wired Λ_n probability.

lemma wiredSucc_bcProb_innerEvent_le (n : ℕ) {p q : ℝ}
    (hp : 0 < p) (hp1 : p < 1) (hq : 1 ≤ q)
    {A₀ : Set (ConfigSpace (Sym2 (boxVerts d n)))} (hA₀ : IsIncreasing A₀) :
    (∑ ρ, (innerRestrict d n ⁻¹' A₀).indicator (fun _ => (1 : ℝ)) ρ
        * bcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p q ρ)
      ≤ ∑ ω, A₀.indicator (fun _ => (1 : ℝ)) ω
          * wiredFkProb (boxGraph d n) (boxBoundary d n) p q ω
Uses 23 · Used by 3

LemmaWired \(\Lambda_{n+1}\) measure of a \(\Lambda_n\) cylinder event as a sum#✓fully proved

The wired Λ_(n+1) measure of a Λ_n cylinder event, as a finite sum.

lemma wiredFiniteMeasure_succ_real_innerRestrictEvent (n : ℕ) {p : ℝ}
    (hp : 0 < p) (hp1 : p < 1)
    (S : Set (ConfigSpace (Sym2 (boxVerts d n))))
    (hmeas : MeasurableSet (boxRestrict d n ⁻¹' S)) :
    (wiredFiniteMeasure d (n + 1) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxRestrict d n ⁻¹' S)
      = ∑ ρ : ConfigSpace (Sym2 (boxVerts d (n + 1))),
          (innerRestrict d n ⁻¹' S).indicator (fun _ => (1 : ℝ)) ρ
            * bcProb (boxGraph d (n + 1)) (boundaryCliqueGraph (boxBoundary d (n + 1))) p 2 ρ
Uses 23 · Used by 1

LemmaWired box measures decrease on increasing cylinder events at \(q = 2\)#✓fully proved

For q = 2, the wired Λ_(n+1) measure of an increasing Λ_n cylinder event is at most its wired Λ_n probability.

lemma wiredFiniteMeasure_succ_le_smallerBox (n : ℕ) {p : ℝ} (hp : 0 < p) (hp1 : p < 1)
    {S : Set (ConfigSpace (Sym2 (boxVerts d n)))} (hS : IsIncreasing S)
    (hmeas : MeasurableSet (boxRestrict d n ⁻¹' S)) :
    (wiredFiniteMeasure d (n + 1) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxRestrict d n ⁻¹' S)
      ≤ ∑ ω, S.indicator (fun _ => (1 : ℝ)) ω
          * wiredFkProb (boxGraph d n) (boxBoundary d n) p 2 ω
Uses 16 · Used by 3

C. Box-boundary connection events

LemmaOrigin-to-boundary connection is an increasing event#✓fully proved

The event that the origin is connected to the box boundary is increasing.

lemma isIncreasing_connToBdryEvent (n : ℕ) :
    IsIncreasing {ω : ConfigSpace (Sym2 (boxVerts d n)) |
      ConnToBdry (boxGraph d n) (boxBoundary d n) ω (IsingFK.boxOrigin d n)}
Uses 10 · Used by 8

LemmaWired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_n\) in \(\Lambda_{n+1}\) at most in \(\Lambda_n\)#✓fully proved

For q = 2, φ¹_{Λ_(n+1)}(0 ↔ ∂Λ_n) ≤ φ¹_{Λ_n}(0 ↔ ∂Λ_n).

lemma wiredFiniteMeasure_succ_le_boxBdryConnEvent (n : ℕ) {p : ℝ}
    (hp : 0 < p) (hp1 : p < 1) :
    (wiredFiniteMeasure d (n + 1) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
      ≤ (wiredFiniteMeasure d n hp hp1 (by norm_num : (0 : ℝ) < 2)
          : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
Uses 25 · Used by 1

LemmaOpen edges of \(\Lambda_n\) are open edges of \(\Lambda_{n+1}\)#✓fully proved

An open edge of Λ_n is an open edge of Λ_(n+1).

lemma openSub_succ_adj_inner (n : ℕ) (ω : ConfigSpace (Sym2 (Site d))) (x y : boxVerts d n) :
    (openSub (boxGraph d (n + 1)) (boxRestrict d (n + 1) ω)).Adj
        (boxVertIncl d n x) (boxVertIncl d n y)
      ↔ (openSub (boxGraph d n) (boxRestrict d n ω)).Adj x y
Uses 11 · Used by 1

LemmaInner vertices next to the annulus lie on \(\partial\Lambda_n\)#✓fully proved

A vertex of Λ_n adjacent to a vertex of Λ_(n+1) \ Λ_n lies on ∂Λ_n.

lemma boxBoundary_of_openSub_succ_adj_outer (n : ℕ) (hn : 1 ≤ n)
    (ω : ConfigSpace (Sym2 (Site d)))
    {x : boxVerts d n} {z : boxVerts d (n + 1)} (hz : ¬ IsInnerVert d n z)
    (h : (openSub (boxGraph d (n + 1)) (boxRestrict d (n + 1) ω)).Adj (boxVertIncl d n x) z) :
    boxBoundary d n x
Uses 12 · Used by 1

LemmaBox inclusion maps the origin to the origin#✓fully proved

The inclusion Λ_n → Λ_(n+1) maps the origin to the origin.

lemma boxVertIncl_boxOrigin (n : ℕ) :
    boxVertIncl d n (IsingFK.boxOrigin d n) = IsingFK.boxOrigin d (n + 1)
Uses 5 · Used by 1

LemmaPaths to \(\partial\Lambda_{n+1}\) pass through \(\partial\Lambda_n\)#✓fully proved

A connection from the origin to ∂Λ_(n+1) inside Λ_(n+1) passes through ∂Λ_n.

lemma connToBdry_succ_of_connToBdry (n : ℕ) (hn : 1 ≤ n) (ω : ConfigSpace (Sym2 (Site d)))
    {v : boxVerts d (n + 1)} (hv : boxBoundary d (n + 1) v)
    (h : (openSub (boxGraph d (n + 1)) (boxRestrict d (n + 1) ω)).Reachable
        (IsingFK.boxOrigin d (n + 1)) v) :
    ConnToBdry (boxGraph d n) (boxBoundary d n) (boxRestrict d n ω) (IsingFK.boxOrigin d n)
Uses 17 · Used by 1

LemmaOne-step decrease of the events \(0 \leftrightarrow \partial\Lambda_n\)#✓fully proved

The events 0 ↔ ∂Λ_n decrease in n.

lemma boxBdryConnEvent_succ_subset (n : ℕ) (hn : 1 ≤ n) :
    boxBdryConnEvent d (n + 1) ⊆ boxBdryConnEvent d n
Uses 10 · Used by 3

LemmaWired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_n\) in \(\Lambda_n\) is nonincreasing in \(n\)#✓fully proved

For q = 2, φ¹_{Λ_(n+1)}(0 ↔ ∂Λ_(n+1)) ≤ φ¹_{Λ_n}(0 ↔ ∂Λ_n).

lemma wiredFiniteMeasure_boxBdryConnEvent_antitone (n : ℕ) (hn : 1 ≤ n) {p : ℝ}
    (hp : 0 < p) (hp1 : p < 1) :
    (wiredFiniteMeasure d (n + 1) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d (n + 1))
      ≤ (wiredFiniteMeasure d n hp hp1 (by norm_num : (0 : ℝ) < 2)
          : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
Uses 6 · Used by 1

D. Restriction between nested boxes

DefinitionInclusion of \(\Lambda_n\) into \(\Lambda_m\) for \(n \le m\)#✓fully proved

The inclusion Λ_n → Λ_m for n ≤ m.

def boxVertInclLE (d : ℕ) {n m : ℕ} (h : n ≤ m) (x : boxVerts d n) : boxVerts d m :=
  ⟨(x : Site d), box_mono d h x.2⟩
Uses 3 · Used by 19

DefinitionInclusion of edges of \(\Lambda_n\) into edges of \(\Lambda_m\)#✓fully proved

The inclusion of edges of Λ_n into edges of Λ_m for n ≤ m.

def innerEdgeLE (d : ℕ) {n m : ℕ} (h : n ≤ m) : Sym2 (boxVerts d n) → Sym2 (boxVerts d m) :=
  Sym2.map (boxVertInclLE d h)
Uses 2 · Used by 61
Used byLeft-continuity of the free \(q = 2\) edge density in \(t\) · Free \(q = 2\) edge density is monotone in \(p\) on \((0, 1)\) · Right-continuity of the wired \(q = 2\) edge density in \(t\) · Free translation invariance from free placements of every shift · Equal free probabilities from eventually equal translated masses · Free placement for a shift via eventually equal box masses · Difference of wired all-open masses of an edge set and its translate · Wired translation invariance from wired placements of every shift · Equal wired probabilities from eventually equal translated masses · Wired placement for a shift via eventually equal box masses · Off-centre carrier vanishes by translation covariance · Free density is at most each translated wired marginal · Translated wired marginals converge to the wired density · Equal wired densities from equal translated marginals · Restriction of a configuration from \(\Lambda_m\) to \(\Lambda_n\) · Restriction to \(\Lambda_n\) factors through \(\Lambda_m\) · Monotonicity of restriction between boxes · Edge inclusion into \(\mathbb{Z}^d\) factors through \(\Lambda_m\) · Wired-marginal difference between a box and its translate · Per-box uniqueness of the random-cluster measures off a countable set · Countable-exception \(q = 2\) uniqueness from one-sided derivative data · Free \(q = 2\) bulk sandwich from equal free edge densities · Wired \(q = 2\) bulk sandwich from equal wired edge densities · Bulk edges of \(\Lambda_n\) · Lower bound on free bulk edge marginals · Free off-centre lower bound by the recentred small-box marginal · Free off-centre sandwich from free rotation residues · Free unit-edge marginals converge to the free density · Wired unit-edge marginals converge to the wired density · Wired bulk edges of \(\Lambda_n\) · Upper bound on wired bulk edge marginals · Wired off-centre sandwich from wired rotation residues · Wired off-centre upper bound by the recentred small-box marginal · Free \(q = 2\) edge density lies in \((0, 1)\) · Wired \(q = 2\) edge density lies in \((0, 1)\) · Box symmetries preserve the free \(q = 2\) density of box edges · Box symmetries preserve the wired \(q = 2\) density of box edges · Translation invariance of the free \(q = 2\) infinite-volume measure · Free \(q = 2\) box edge marginals are at most the free density · Wired \(q = 2\) box edge marginals are at least the wired density · Ergodicity of the wired random-cluster measure · Translation invariance of free and wired densities if marginals merge · Constant free density gives an upper bound on expected open edges · Free upper bound on expected open edges along a box-symmetry orbit · Equal free densities from merging free marginals · Translation invariance of the free density given merging marginals · Constant wired density gives a lower bound on expected open edges · Wired lower bound on expected open edges along a box-symmetry orbit · Equal wired densities from merging wired marginals · Translation invariance of the wired density given merging marginals · Box edge set included into \(\Lambda_m\) and translated by \(v\) · Translation invariance of the wired \(q = 2\) infinite-volume measure · Realized edge sets stay realized in larger boxes · Upper decorrelation of the wired measure from factorization · All-open Dirac mass satisfies the factorization bound · Free box integral of an edge indicator is the free edge marginal · Wired box integral of an edge indicator is the wired edge marginal · Wired all-open probability on a translated box · Translated wired box mass equals the centered box mass · Translated free box mass of an edge set · Translated free box mass equals the centred box probability

LemmaEdge inclusion into \(\mathbb{Z}^d\) factors through \(\Lambda_m\)#✓fully proved

Including an edge into Λ_m and then into ℤ^d is including it into ℤ^d.

lemma edgeIncl_innerEdgeLE (d : ℕ) {n m : ℕ} (h : n ≤ m) (e : Sym2 (boxVerts d n)) :
    edgeIncl d m (innerEdgeLE d h e) = edgeIncl d n e
Uses 6 · Used by 15

DefinitionRestriction of a configuration from \(\Lambda_m\) to \(\Lambda_n\)#✓fully proved

Restrict a configuration on Λ_m to Λ_n for n ≤ m.

noncomputable def boxRestrictLE (d : ℕ) {n m : ℕ} (h : n ≤ m)
    (η : ConfigSpace (Sym2 (boxVerts d m))) : ConfigSpace (Sym2 (boxVerts d n)) :=
  fun eb => η (innerEdgeLE d h eb)
Uses 3 · Used by 37
Used byFK critical point is less than one for \(d \ge 2\), \(q \ge 1\) · Left-continuity of the free \(q = 2\) edge density in \(t\) · Free \(q = 2\) edge density is monotone in \(p\) on \((0, 1)\) · Wired \(q = 2\) edge density is monotone in \(t\) · Right-continuity of the wired \(q = 2\) edge density in \(t\) · Wired box-boundary connection probability is monotone in \(p\) at \(q = 2\) · FKG inequality for free \(q = 2\) box measures on smaller-box events · FKG inequality for wired \(q = 2\) box measures on smaller-box events · One-step growth of free \(q = 2\) measures of increasing cylinders · Secant bound gives free–wired density agreement off a countable set · Free density is at most each translated wired marginal · Translated wired marginals converge to the wired density · Equal wired densities from equal translated marginals · Wired \(q = 2\) increasing-event probabilities do not grow with the box · Boundary connection of \(\Lambda_n\) is a \(\Lambda_m\) cylinder event · Restriction to \(\Lambda_n\) factors through \(\Lambda_m\) · Monotonicity of restriction between boxes · Boundary-connection event of \(\Lambda_n\) as an event on \(\Lambda_m\) · Boundary-connection event of \(\Lambda_n\) on \(\Lambda_m\) is increasing · Secant bound gives \(q = 2\) edge-event uniqueness off a countable set · Per-box uniqueness of the random-cluster measures off a countable set · Countable-exception \(q = 2\) uniqueness from one-sided derivative data · Free-energy data give \(q = 2\) box uniqueness off countably many \(t\) · Free unit-edge marginals converge to the free density · Wired unit-edge marginals converge to the wired density · Free \(q = 2\) edge density lies in \((0, 1)\) · Wired \(q = 2\) edge density lies in \((0, 1)\) · Box symmetries preserve the free \(q = 2\) density of box edges · Box symmetries preserve the wired \(q = 2\) density of box edges · Free \(q = 2\) box edge marginals are at most the free density · Wired \(q = 2\) box edge marginals are at least the wired density · Constant free density gives an upper bound on expected open edges · Equal free densities from merging free marginals · Constant wired density gives a lower bound on expected open edges · Equal wired densities from merging wired marginals · Free box integral of an edge indicator is the free edge marginal · Wired box integral of an edge indicator is the wired edge marginal

LemmaRestriction to \(\Lambda_n\) factors through \(\Lambda_m\)#✓fully proved

Restricting to Λ_m and then to Λ_n is restricting to Λ_n.

lemma boxRestrictLE_boxRestrict (d : ℕ) {n m : ℕ} (h : n ≤ m)
    (ω : ConfigSpace (Sym2 (Site d))) :
    boxRestrictLE d h (boxRestrict d m ω) = boxRestrict d n ω
Uses 8 · Used by 33
Used byFK critical point is less than one for \(d \ge 2\), \(q \ge 1\) · Left-continuity of the free \(q = 2\) edge density in \(t\) · Free \(q = 2\) edge density is monotone in \(p\) on \((0, 1)\) · Wired \(q = 2\) edge density is monotone in \(t\) · Right-continuity of the wired \(q = 2\) edge density in \(t\) · Wired box-boundary connection probability is monotone in \(p\) at \(q = 2\) · FKG inequality for free \(q = 2\) box measures on smaller-box events · FKG inequality for wired \(q = 2\) box measures on smaller-box events · One-step growth of free \(q = 2\) measures of increasing cylinders · Secant bound gives free–wired density agreement off a countable set · Free density is at most each translated wired marginal · Translated wired marginals converge to the wired density · Equal wired densities from equal translated marginals · Wired \(q = 2\) increasing-event probabilities do not grow with the box · Boundary connection of \(\Lambda_n\) is a \(\Lambda_m\) cylinder event · Secant bound gives \(q = 2\) edge-event uniqueness off a countable set · Per-box uniqueness of the random-cluster measures off a countable set · Countable-exception \(q = 2\) uniqueness from one-sided derivative data · Free-energy data give \(q = 2\) box uniqueness off countably many \(t\) · Free unit-edge marginals converge to the free density · Wired unit-edge marginals converge to the wired density · Free \(q = 2\) edge density lies in \((0, 1)\) · Wired \(q = 2\) edge density lies in \((0, 1)\) · Box symmetries preserve the free \(q = 2\) density of box edges · Box symmetries preserve the wired \(q = 2\) density of box edges · Free \(q = 2\) box edge marginals are at most the free density · Wired \(q = 2\) box edge marginals are at least the wired density · Constant free density gives an upper bound on expected open edges · Equal free densities from merging free marginals · Constant wired density gives a lower bound on expected open edges · Equal wired densities from merging wired marginals · Free box integral of an edge indicator is the free edge marginal · Wired box integral of an edge indicator is the wired edge marginal

LemmaMonotonicity of restriction between boxes#✓fully proved

Restriction between boxes is monotone.

lemma boxRestrictLE_monotone (d : ℕ) {n m : ℕ} (h : n ≤ m) :
    Monotone (boxRestrictLE d h)
Uses 4 · Used by 13

DefinitionBoundary-connection event of \(\Lambda_n\) as an event on \(\Lambda_m\)#✓fully proved

The event 0 ↔ ∂Λ_n inside Λ_n, as an event on Λ_m for n ≤ m.

noncomputable def connToBdryEventLE (d : ℕ) {n m : ℕ} (h : n ≤ m) :
    Set (ConfigSpace (Sym2 (boxVerts d m))) :=
  boxRestrictLE d h ⁻¹' {ω : ConfigSpace (Sym2 (boxVerts d n)) |
    ConnToBdry (boxGraph d n) (boxBoundary d n) ω (IsingFK.boxOrigin d n)}
Uses 7 · Used by 4

LemmaBoundary-connection event of \(\Lambda_n\) on \(\Lambda_m\) is increasing#✓fully proved

The event connToBdryEventLE is increasing.

lemma isIncreasing_connToBdryEventLE (d : ℕ) {n m : ℕ} (h : n ≤ m) :
    IsIncreasing (connToBdryEventLE d h)
Uses 13 · Used by 1

LemmaBoundary connection of \(\Lambda_n\) is a \(\Lambda_m\) cylinder event#✓fully proved

The event 0 ↔ ∂Λ_n is a Λ_m cylinder event for every m ≥ n.

lemma boxBdryConnEvent_eq_boxRestrict_preimage (d : ℕ) {n m : ℕ} (h : n ≤ m) :
    boxBdryConnEvent d n = boxRestrict d m ⁻¹' (connToBdryEventLE d h)
Uses 12 · Used by 2

LemmaCylinder form of the \(\Lambda_n\) boundary connection is measurable#✓fully proved

The cylinder form of 0 ↔ ∂Λ_n is measurable.

lemma measurableSet_boxRestrict_connToBdryEventLE (d : ℕ) {n m : ℕ} (h : n ≤ m) :
    MeasurableSet (boxRestrict d m ⁻¹' (connToBdryEventLE d h))
Uses 15 · Used by 1

LemmaWired \(\Lambda_m\) measure of a \(\Lambda_m\) cylinder event as a sum#✓fully proved

The wired Λ_m measure of a Λ_m cylinder event, as a finite sum.

lemma wiredFiniteMeasure_real_boxRestrictEvent (m : ℕ) {p : ℝ}
    (hp : 0 < p) (hp1 : p < 1) (S : Set (ConfigSpace (Sym2 (boxVerts d m))))
    (hmeas : MeasurableSet (boxRestrict d m ⁻¹' S)) :
    (wiredFiniteMeasure d m hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxRestrict d m ⁻¹' S)
      = ∑ ω : ConfigSpace (Sym2 (boxVerts d m)),
          S.indicator (fun _ =>
              (1 : ℝ)) ω * wiredFkProb (boxGraph d m) (boxBoundary d m) p 2 ω
Uses 16 · Used by 26
Used byWired \(q = 2\) origin-to-boundary probability at most Bernoulli · Inf-based and sup-based Ising critical points agree for \(d \ge 2\) · Sup-based \(\beta_c\) equals \(-\tfrac{1}{2}\log(1 - p_c)\) for \(d \ge 2\) · Existence of the Ising phase transition · Wired \(q = 2\) edge density is monotone in \(t\) · Right-continuity of the wired \(q = 2\) edge density in \(t\) · Wired box-boundary connection probability is monotone in \(p\) at \(q = 2\) · FKG inequality for wired \(q = 2\) box measures on smaller-box events · Wired box measure of an all-open event equals its box mass · Secant bound gives free–wired density agreement off a countable set · Free density is at most each translated wired marginal · Translated wired marginals converge to the wired density · Equal wired densities from equal translated marginals · Wired \(q = 2\) increasing-event probabilities do not grow with the box · Wired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_n\) in \(\Lambda_{m+1}\) at most in \(\Lambda_m\), \(m \ge n\) · Secant bound gives \(q = 2\) edge-event uniqueness off a countable set · Countable-exception \(q = 2\) uniqueness from one-sided derivative data · Free-energy data give \(q = 2\) box uniqueness off countably many \(t\) · Wired unit-edge marginals converge to the wired density · Wired \(q = 2\) edge density lies in \((0, 1)\) · Box symmetries preserve the wired \(q = 2\) density of box edges · Wired \(q = 2\) box edge marginals are at least the wired density · Ergodicity of the wired random-cluster measure · Constant wired density gives a lower bound on expected open edges · Equal wired densities from merging wired marginals · Wired box integral of an edge indicator is the wired edge marginal

LemmaWired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_n\) in \(\Lambda_{m+1}\) at most in \(\Lambda_m\), \(m \ge n\)#✓fully proved

For q = 2 and n ≤ m, φ¹_{Λ_(m+1)}(0 ↔ ∂Λ_n) ≤ φ¹_{Λ_m}(0 ↔ ∂Λ_n).

lemma wiredFiniteMeasure_succ_le_boxBdryConnEvent_le (n m : ℕ) (h : n ≤ m) {p : ℝ}
    (hp : 0 < p) (hp1 : p < 1) :
    (wiredFiniteMeasure d (m + 1) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
      ≤ (wiredFiniteMeasure d m hp hp1 (by norm_num : (0 : ℝ) < 2)
          : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
Uses 16 · Used by 2

LemmaWired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_n\) in \(\Lambda_{n+k+1}\) at most in \(\Lambda_{n+k}\)#✓fully proved

For q = 2, φ¹_{Λ_(n+k+1)}(0 ↔ ∂Λ_n) ≤ φ¹_{Λ_(n+k)}(0 ↔ ∂Λ_n).

lemma wiredFiniteMeasure_boxBdryConnEvent_antitone_radius (n k : ℕ) {p : ℝ}
    (hp : 0 < p) (hp1 : p < 1) :
    (wiredFiniteMeasure d (n+k+1) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
      ≤ (wiredFiniteMeasure d (n+k) hp hp1 (by norm_num : (0 : ℝ) < 2)
          : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n)
Uses 5

E. Convergence of box-boundary connection probabilities

LemmaOpen edges of a box are open edges of \(\mathbb{Z}^d\)#✓fully proved

An open edge of the box is an open edge of ℤ^d.

lemma openSubgraph_adj_of_boxGraph (n : ℕ) (ω : ConfigSpace (Sym2 (Site d)))
    {x y : boxVerts d n} (h : (openSub (boxGraph d n) (boxRestrict d n ω)).Adj x y) :
    (openSubgraph d ω).Adj (x : Site d) (y : Site d)
Uses 10 · Used by 1

LemmaOpen connections in a box are open connections in \(\mathbb{Z}^d\)#✓fully proved

An open connection inside the box is an open connection in ℤ^d.

lemma connected_of_boxConnected (n : ℕ) (ω : ConfigSpace (Sym2 (Site d)))
    {x y : boxVerts d n}
    (h : (openSub (boxGraph d n) (boxRestrict d n ω)).Reachable x y) :
    StatMech.Lattice.Connected d ω (x : Site d) (y : Site d)
Uses 10 · Used by 1

LemmaBoundary connection inside \(\Lambda_n\) reaches outside \(\Lambda_{n-1}\)#✓fully proved

A connection from the origin to ∂Λ_n inside Λ_n reaches the complement of Λ_(n-1).

lemma boxBdryConnEvent_subset_crossingEvent (n : ℕ) :
    boxBdryConnEvent d n ⊆ crossingEvent d n
Uses 15 · Used by 2

LemmaOpen lattice edges between box vertices are open box edges#✓fully proved

An open edge of ℤ^d between box vertices is an open edge of the box.

lemma boxGraph_open_of_openSubgraph (n : ℕ) (ω : ConfigSpace (Sym2 (Site d)))
    {x y : boxVerts d n} (h : (openSubgraph d ω).Adj (x : Site d) (y : Site d)) :
    (openSub (boxGraph d n) (boxRestrict d n ω)).Adj x y
Uses 10 · Used by 1

LemmaOpen path from the origin out of \(\Lambda_n\) gives \(0 \leftrightarrow \partial\Lambda_n\) inside \(\Lambda_n\)#✓fully proved

A connection from the origin to a site outside Λ_n gives a connection to ∂Λ_n inside Λ_n.

lemma boxBdryConn_of_crossing (n : ℕ) (hn : 1 ≤ n) (ω : ConfigSpace (Sym2 (Site d)))
    {v : Site d} (hv : v ∉ box d n)
    (h : (openSubgraph d ω).Reachable (origin d) v) :
    ConnToBdry (boxGraph d n) (boxBoundary d n) (boxRestrict d n ω) (IsingFK.boxOrigin d n)
Uses 16 · Used by 2

LemmaLeaving \(\Lambda_n\) implies connecting to \(\partial\Lambda_n\)#✓fully proved

Reaching the complement of Λ_n implies 0 ↔ ∂Λ_n.

lemma crossingEvent_succ_subset_boxBdryConnEvent (n : ℕ) (hn : 1 ≤ n) :
    crossingEvent d (n + 1) ⊆ boxBdryConnEvent d n
Uses 14 · Used by 2

LemmaWired infinite-volume boundary connection tends to \(\theta^1(p, q)\)#✓fully proved

Under the wired infinite-volume measure, P(0 ↔ ∂Λ_n) → θ¹(p, q).

lemma wiredIv_boxBdryConnEvent_tendsto {p q : ℝ}
    (hp : 0 < p) (hp1 : p < 1) (hq : 0 < q) :
    Tendsto (fun n => ((wiredInfiniteVolume d hp hp1 hq :
        ProbabilityMeasure (ConfigSpace (Sym2 (Site d)))) :
        Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n))
      atTop (𝓝 (fkTheta d hp hp1 hq (q := q)))
Uses 9 · Used by 3

LemmaEvents \(0 \leftrightarrow \partial\Lambda_n\) decrease in \(n \ge 1\)#✓fully proved

The events 0 ↔ ∂Λ_n decrease in n ≥ 1.

lemma boxBdryConnEvent_subset_le (k n : ℕ) (hk : 1 ≤ k) (hkn : k ≤ n) :
    boxBdryConnEvent d n ⊆ boxBdryConnEvent d k
Uses 4 · Used by 2

LemmaWired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_k\) in \(\Lambda_{k+j}\) is nonincreasing in \(j\)#✓fully proved

For q = 2, j ↦ φ¹_{Λ_(k+j)}(0 ↔ ∂Λ_k) is antitone.

lemma radius_antitone (k : ℕ) {p : ℝ} (hp : 0 < p) (hp1 : p < 1) :
    Antitone (fun j => (wiredFiniteMeasure d (k+j) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d k))
Uses 5 · Used by 2

LemmaAntitone bounded-below sequences converge to any subsequential limit#✓fully proved

A bounded-below antitone real sequence converges to the limit of any of its subsequences.

lemma tendsto_of_antitone_of_subseq {a : ℕ → ℝ} {L : ℝ} {φ : ℕ → ℕ} (hφ : StrictMono φ)
    (hanti : Antitone a) (hbdd : BddBelow (Set.range a))
    (hsub : Tendsto (fun m => a (φ m)) atTop (𝓝 L)) :
    Tendsto a atTop (𝓝 L)
Used by 1

LemmaInfinite-volume limit of the wired \(q = 2\) probability of \(0 \leftrightarrow \partial\Lambda_k\)#✓fully proved

For q = 2, φ¹_{Λ_(k+j)}(0 ↔ ∂Λ_k) converges as j → ∞ to the wired infinite-volume probability of 0 ↔ ∂Λ_k.

lemma wiredFiniteMeasure_radius_tendsto (k : ℕ) {p : ℝ} (hp : 0 < p) (hp1 : p < 1) :
    Tendsto (fun j => (wiredFiniteMeasure d (k+j) hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d k))
      atTop (𝓝 (((wiredInfiniteVolume d hp hp1 (by norm_num : (0 : ℝ) < 2) :
          ProbabilityMeasure (ConfigSpace (Sym2 (Site d)))) :
          Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d k)))
Uses 20 · Used by 1

LemmaWired \(q = 2\) percolation probability as the limit of \(0 \leftrightarrow \partial\Lambda_n\) in \(\Lambda_n\)#✓fully proved

For q = 2, φ¹_{Λ_n}(0 ↔ ∂Λ_n) → θ¹(p, 2).

lemma boxBdryConnEvent_diag_tendsto {p : ℝ} (hp : 0 < p) (hp1 : p < 1) :
    Tendsto (fun n => (wiredFiniteMeasure d n hp hp1 (by norm_num : (0 : ℝ) < 2)
        : Measure (ConfigSpace (Sym2 (Site d)))).real (boxBdryConnEvent d n))
      atTop (𝓝 (fkTheta d hp hp1 (by norm_num : (0 : ℝ) < 2) (q := 2)))
Uses 11 · Used by 5

LemmaIsing FK box-boundary connection profile tends to \(\theta^1(p, 2)\)#✓fully proved

The box-boundary connection profile of the Ising FK representation converges to θ¹(p, 2).

lemma boxBoundaryConnProfile_tendsto {p : ℝ} (hp : 0 < p) (hp1 : p < 1) :
    Tendsto (fun n => IsingFK.boxBoundaryConnProfile d hp hp1 (by norm_num : (0 : ℝ) < 2) n)
      atTop (𝓝 (fkTheta d hp hp1 (by norm_num : (0 : ℝ) < 2) (q := 2)))
Uses 4 · Used by 5

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