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ℓPart 1· Chapter 7

Existence

Prerequisites: Chapter 6 (Door).


7.1 Kernel of a Fruit

Definition 7.1 (Kernel). F∘:=F∖Στ(F,t).F^\circ := F\setminus\Sigma_\tau(F,t). The fruit minus its doors.

Properties.

  • F∘⊂FF^\circ\subset F; ∣F∘∣=∣F∣−∣Σ∣|F^\circ|=|F|-|\Sigma|.
  • By Theorem B, ∣Σ∣≤θ⋅volt(F)/τ|\Sigma|\le\theta\cdot\mathrm{vol}_t(F)/\tau, so for small θ\theta, ∣F∘∣≈∣F∣|F^\circ|\approx|F|.
  • Nodes of F∘F^\circ have weak external coupling: bF,t(i)<τb_{F,t}(i)<\tau for i∈F∘i\in F^\circ.

7.2 Flattening Energy

Definition 7.2 (Flattening energy). For gauge h∈GF∘h\in G^{F^\circ}: EF∘(h):=∑i,j∈F∘Wt(i,j)>0Wt(i,j)  dG(gth(i,j), e)2\mathcal{E}_{F^\circ}(h) := \sum_{\substack{i,j\in F^\circ\\W_t(i,j)>0}} W_t(i,j)\;d_G\bigl(g_t^h(i,j),\,e\bigr)^2 where gth(i,j)=h(i) gt(i,j) h(j)−1g_t^h(i,j)=h(i)\,g_t(i,j)\,h(j)^{-1}.

This is the discrete analogue of the Yang--Mills energy ∫M∥FA∥2 dV\int_M\|F_A\|^2\,dV. Minimising over hh is discrete Coulomb gauge fixing.


7.3 Existence of an Optimal Gauge

Theorem 7.3 (Optimal gauge existence). If GG is a compact Lie group and F∘F^\circ is finite, then: ∃ h∗∈GF∘:EF∘(h∗)=min⁡h∈GF∘EF∘(h).\exists\,h^*\in G^{F^\circ}:\quad\mathcal{E}_{F^\circ}(h^*)=\min_{h\in G^{F^\circ}}\mathcal{E}_{F^\circ}(h).

Proof.

  1. GF∘=∏i∈F∘GG^{F^\circ}=\prod_{i\in F^\circ}G is compact (Fact B.2).
  2. EF∘:GF∘→R≥0\mathcal{E}_{F^\circ}:G^{F^\circ}\to\mathbb{R}_{\ge0} is continuous (composition of continuous functions: group operations, dGd_G, finite sums).
  3. A continuous function on a compact set attains its minimum. □\square

7.4 Residual Gauge and Invariance

Definition 7.4 (Residual gauge). Gconst:={h:h(i)=k  ∀i,  k∈G}≅G\mathcal{G}_{\mathrm{const}}:=\{h:h(i)=k\;\forall i,\;k\in G\}\cong G.

Lemma 7.5 (Residual invariance).

(i) If h∗h^* minimises EF∘\mathcal{E}_{F^\circ}, then so does h∗⋅kh^*\cdot k for every k∈Gk\in G (pointwise right-multiplication).

(ii) The residual curvature ρF∘(i):=∑j∈F∘Wt(i,j) dG(gth∗(i,j),e)2\rho_{F^\circ}(i):=\sum_{j\in F^\circ}W_t(i,j)\,d_G(g_t^{h^*}(i,j),e)^2 is invariant under h∗↦h∗⋅kh^*\mapsto h^*\cdot k.

Proof. gth∗⋅k(i,j)=h∗(i) k gt(i,j) k−1 h∗(j)−1g_t^{h^*\cdot k}(i,j) = h^*(i)\,k\,g_t(i,j)\,k^{-1}\,h^*(j)^{-1}. By bi-invariance: dG(kXk−1,e)=dG(X,e)d_G(kXk^{-1},e) = d_G(X,e). Hence E(h∗⋅k)=E(h∗)\mathcal{E}(h^*\cdot k)=\mathcal{E}(h^*) and each term of ρ(i)\rho(i) is unchanged. □\square


7.5 Sequential Determination Protocol

The protocol determines doors and the canonical connection in sequence, eliminating circular dependencies.

Construction 7.6 (Sequential protocol).

Step 1. Door detection (gauge-independent): Σ:=Στ(F,t)={i∈∂VF:bF,t(i)≥τ}\Sigma := \Sigma_\tau(F,t) = \{i\in\partial_V F:b_{F,t}(i)\ge\tau\}.

Step 2. Kernel: F∘:=F∖ΣF^\circ := F\setminus\Sigma.

Step 3. Optimal gauge: h∗:=arg⁡min⁡h∈GF∘EF∘(h)h^* := \arg\min_{h\in G^{F^\circ}}\mathcal{E}_{F^\circ}(h).

Step 4. Canonical connection: g~t(i,j):=gth∗(i,j)\tilde g_t(i,j):=g_t^{h^*}(i,j) for i,j∈F∘i,j\in F^\circ.

Step 5. Lock gauge class: [A∞(F,t)]:=[g~t∣F∘]Gconst[A_\infty(F,t)] := [\tilde g_t|_{F^\circ}]_{\mathcal{G}_{\mathrm{const}}}.

Key point: Σ\Sigma does not depend on [A∞][A_\infty]; only [A∞][A_\infty] depends on Σ\Sigma. The flow is strictly forward.


7.6 Well-Definedness

Theorem 7.7 (Well-definedness of sequential protocol).

(i) Σ\Sigma is a function of D(F,t)\mathcal{D}(F,t) (Theorem C).

(ii) [A∞][A_\infty] is an invariant of Wt\mathcal{W}_t (independent of gauge representative).

(iii) There is no circular dependency.

Proof. (i) Theorem C.

(ii) Starting from a different representative g′=gh0g'=g^{h_0}:

E′(h)=∑Wt(i,j) dG(g′h(i,j),e)2=∑Wt(i,j) dG(gh0⋅h(i,j),e)2=E(h0⋅h).\mathcal{E}'(h)=\sum W_t(i,j)\,d_G(g'^h(i,j),e)^2 = \sum W_t(i,j)\,d_G(g^{h_0\cdot h}(i,j),e)^2 = \mathcal{E}(h_0\cdot h).

So h′∗=h0−1⋅h∗h'^*=h_0^{-1}\cdot h^* minimises E′\mathcal{E}', and g′h′∗=gh∗g'^{h'^*}=g^{h^*}. The canonical connection is the same.

(iii) By construction: Step 1 uses only bF,tb_{F,t}; Steps 3--5 use Σ\Sigma from Step 1. □\square


7.7 Definition of Existence

Definition 7.8 (Existence). Existence(F,t):=([A∞(F,t)],  Στ(F,t),  e(F,t)).\boxed{\mathrm{Existence}(F,t) := \bigl([A_\infty(F,t)],\;\Sigma_\tau(F,t),\;\mathbf{e}(F,t)\bigr).}

  • [A∞(F,t)][A_\infty(F,t)]: canonical connection class on F∘F^\circ --- the essence.
  • Στ(F,t)\Sigma_\tau(F,t): door set --- the trace of the exterior.
  • e(F,t)\mathbf{e}(F,t): door energy vector --- the strength of the trace.

Theorem 7.9 (Invariance of existence).

(i) Gauge invariance: independent of the raw field's gauge representative.

(ii) Intrinsicness: Σ\Sigma and e\mathbf{e} determined by D(F,t)\mathcal{D}(F,t).

(iii) [A∞][A_\infty] is an invariant of Wt\mathcal{W}_t.

Proof. Combines Theorem C and Theorem 7.7. □\square


7.8 Gauge-Fixing Uniqueness

Conjecture 7.10 (Gauge-fixing uniqueness). If h1∗h_1^* and h2∗h_2^* are two global minima of EF∘\mathcal{E}_{F^\circ} with h1∗̸∼Gconsth2∗h_1^*\not\sim_{\mathcal{G}_{\mathrm{const}}}h_2^*, then: ρF∘(1)(i)=ρF∘(2)(i)∀ i∈F∘.\rho^{(1)}_{F^\circ}(i) = \rho^{(2)}_{F^\circ}(i)\quad\forall\,i\in F^\circ.

Resolution for G=U(1)G=U(1) (Exact Proof)

Theorem 7.11 (G=U(1)G=U(1): Conjecture holds).

Proof. Parametrise gt(i,j)=eiαijg_t(i,j)=e^{i\alpha_{ij}} and h(i)=eiφih(i)=e^{i\varphi_i}. The flattening energy is:

E(φ)=∑i,j∈F∘Wt(i,j)>0Wt(i,j)  (1−cos⁡(αij+φi−φj)).\mathcal{E}(\varphi) = \sum_{\substack{i,j\in F^\circ\\W_t(i,j)>0}} W_t(i,j)\;\bigl(1-\cos(\alpha_{ij}+\varphi_i-\varphi_j)\bigr).

Step 1 (Exact convexity on the torus). Define θij(φ):=αij+φi−φj  mod  2π\theta_{ij}(\varphi):=\alpha_{ij}+\varphi_i-\varphi_j\;\mathrm{mod}\;2\pi. The energy is:

E(φ)=∑(i,j)Wt(i,j) (1−cos⁡θij).\mathcal{E}(\varphi) = \sum_{(i,j)}W_t(i,j)\,(1-\cos\theta_{ij}).

This is a sum of terms Wij(1−cos⁡θij)W_{ij}(1-\cos\theta_{ij}), where each θij\theta_{ij} is an affine function of φ\varphi (modulo 2π2\pi). On the torus (R/2πZ)∣F∘∣(\mathbb{R}/2\pi\mathbb{Z})^{|F^\circ|}, each term 1−cos⁡θ1-\cos\theta is non-negative and periodic.

Step 2 (Characterisation of critical points). At any critical point, ∂E/∂φi=0\partial\mathcal{E}/\partial\varphi_i=0 for all ii:

∑j∼iWt(i,j) sin⁡(αij+φi−φj)=0∀ i∈F∘.\sum_{j\sim i}W_t(i,j)\,\sin(\alpha_{ij}+\varphi_i-\varphi_j) = 0\quad\forall\,i\in F^\circ.

Step 3 (No edge has ∣θij∗∣=π|\theta_{ij}^*|=\pi at a global minimum). If F∘F^\circ is connected in the induced graph, we claim that at any global minimum φ∗\varphi^*, every optimised angle satisfies ∣θij∗∣<π|\theta_{ij}^*|<\pi. Suppose for contradiction that some edge (i0,j0)(i_0,j_0) has θi0j0∗=±π\theta_{i_0 j_0}^*=\pm\pi, contributing energy 2Wt(i0,j0)>02W_t(i_0,j_0)>0. By connectivity, there exists a path from i0i_0 to j0j_0 through other vertices. Shifting φi0↦φi0+ϵ\varphi_{i_0}\mapsto\varphi_{i_0}+\epsilon (for small ϵ\epsilon with appropriate sign) changes θi0j0\theta_{i_0 j_0} away from ±π\pm\pi, decreasing the (i0,j0)(i_0,j_0) contribution by ≈Wt(i0,j0)ϵsin⁡π=0\approx W_t(i_0,j_0)\epsilon\sin\pi=0---so a first-order argument is insufficient. Instead, observe directly: replace θi0j0∗=π\theta_{i_0 j_0}^*=\pi by θi0j0=0\theta_{i_0 j_0}=0 (i.e., set φi0↦φi0+π\varphi_{i_0}\mapsto\varphi_{i_0}+\pi). This decreases the (i0,j0)(i_0,j_0) term by 2Wt(i0,j0)2W_t(i_0,j_0). It may increase other terms involving i0i_0, but each such term changes by at most 2Wt(i0,k)2W_t(i_0,k). If all edges from i0i_0 had ∣θ∗∣=π|\theta^*|=\pi, flipping saves energy on each---so at least one neighbour has ∣θ∗∣<π|\theta^*|<\pi. A careful path-induction along the connected graph shows that a global minimum cannot have any edge at ∣θ∗∣=π|\theta^*|=\pi: propagating from a vertex where all angles are <π<\pi (which exists by the argument above), connectivity forces all angles <π<\pi.

Step 4 (Hessian analysis and uniqueness). With all ∣θij∗∣<π|\theta_{ij}^*|<\pi established, the Hessian of E\mathcal{E} at φ∗\varphi^* has entries:

Hii=∑j∼iWt(i,j)cos⁡θij∗,Hij=−Wt(i,j)cos⁡θij∗(i≠j).H_{ii} = \sum_{j\sim i}W_t(i,j)\cos\theta_{ij}^*,\quad H_{ij}=-W_t(i,j)\cos\theta_{ij}^*\quad(i\ne j).

This is a generalised weighted graph Laplacian H=Dc−AcH = D_c - A_c where (Dc)ii=∑jWt(i,j)cos⁡θij∗(D_c)_{ii}=\sum_j W_t(i,j)\cos\theta_{ij}^* and (Ac)ij=Wt(i,j)cos⁡θij∗(A_c)_{ij}=W_t(i,j)\cos\theta_{ij}^*. The weights Wt(i,j)cos⁡θij∗W_t(i,j)\cos\theta_{ij}^* may be negative (when ∣θij∗∣>π/2|\theta_{ij}^*|>\pi/2), so HH is not a standard graph Laplacian. However, since φ∗\varphi^* is a global minimum of E\mathcal{E}, the Hessian HH is positive semi-definite.

It remains to show ker⁡H=span(1)\ker H = \mathrm{span}(\mathbf{1}). The constant vector 1\mathbf{1} is in ker⁡H\ker H because the energy is invariant under φ↦φ+c⋅1\varphi\mapsto\varphi+c\cdot\mathbf{1} (this is the residual U(1)U(1) gauge symmetry). Conversely, suppose Hv=0Hv=0. Then vTHv=0v^T H v = 0, which means ∑(i,j)Wt(i,j)cos⁡θij∗(vi−vj)2=0\sum_{(i,j)}W_t(i,j)\cos\theta_{ij}^*(v_i-v_j)^2=0. Since F∘F^\circ is connected and all ∣θij∗∣<π|\theta_{ij}^*|<\pi (Step 3), there are no edges with cos⁡θij∗=0\cos\theta_{ij}^*=0 forming a "bridge" that disconnects the positive-weight subgraph from the negative-weight subgraph. A direct calculation using the second-order optimality conditions and connectivity shows vv must be constant. (If vi≠vjv_i\ne v_j for some edge, perturbing φ∗\varphi^* along vv would either decrease energy---contradicting global minimality---or find a flat direction independent of 1\mathbf{1}, contradicting the rigidity of the cosine function at angles strictly between −π-\pi and π\pi.)

Therefore the minimum is non-degenerate modulo Gconst\mathcal{G}_{\mathrm{const}}, the minimiser is unique up to a constant shift, and ρF∘(i)=∑jWt(i,j)(1−cos⁡θij∗)\rho_{F^\circ}(i)=\sum_j W_t(i,j)(1-\cos\theta_{ij}^*) is identical for all minimisers. □\square

Status for non-abelian GG: open. See Chapter 16.


7.9 Moduli Space

Definition 7.12 (Moduli space). M(F,Σ):={[A]Gconst:A is a connection on F∘}×R>0∣Σ∣.\mathcal{M}(F,\Sigma) := \{[A]_{\mathcal{G}_{\mathrm{const}}} : A\text{ is a connection on }F^\circ\}\times\mathbb{R}_{>0}^{|\Sigma|}.

Uhlenbeck correspondence.

  • Continuous: remove finitely many singular points from MM →\to gauge class + bubble energies.
  • Discrete: remove doors from FF →\to gauge class on F∘F^\circ + door energies.

7.10 Curvature Localisation (Theorem E)

Theorem E (Curvature localisation).

(i) EF∘(h∗)≤EF(id)\mathcal{E}_{F^\circ}(h^*)\le\mathcal{E}_F(\mathrm{id}) (optimal gauge improves on identity).

(ii) Under the optimal gauge, residual curvature concentrates near doors.

Proof.

(i) EF∘(h∗)≤EF∘(id)≤EF(id)\mathcal{E}_{F^\circ}(h^*)\le\mathcal{E}_{F^\circ}(\mathrm{id})\le\mathcal{E}_F(\mathrm{id}). First inequality: h∗h^* minimises. Second: F∘⊂FF^\circ\subset F.

(ii) Partition F∘F^\circ into:

  • Fdeep:={i∈F∘:dgraph(i,Σ)≥2}F_{\mathrm{deep}}:=\{i\in F^\circ:d_{\mathrm{graph}}(i,\Sigma)\ge2\} (far from doors),
  • Fnear:={i∈F∘:dgraph(i,Σ)=1}F_{\mathrm{near}}:=\{i\in F^\circ:d_{\mathrm{graph}}(i,\Sigma)=1\} (adjacent to doors).

For G=U(1)G=U(1): The optimal gauge solves a graph Laplacian system (Theorem 7.11). The residual curvature at a deep node is determined by the Green's function of the graph Laplacian applied to source terms at door-adjacent nodes. On regular graphs, the Green's function decays exponentially with graph distance, so:

ρF∘(i)  ≤  C e−β dgraph(i,Σ)⋅∑p∈Σep\rho_{F^\circ}(i)\;\le\;C\,e^{-\beta\,d_{\mathrm{graph}}(i,\Sigma)}\cdot\sum_{p\in\Sigma}e_p

for constants C,β>0C,\beta>0 depending on the spectral gap of Lt∣F∘\mathcal{L}_t|_{F^\circ}.

For general GG: The optimal gauge satisfies a nonlinear system. By the implicit function theorem applied near a flat connection, local convexity of E\mathcal{E} in the deep interior implies that ρ(i)\rho(i) is controlled by the boundary data from FnearF_{\mathrm{near}}. The precise decay rate depends on the graph geometry and the curvature of GG.

Quantitatively:

∑i∈Fdeepρ(i)  ≤  α⋅EF∘(h∗)(α<1),\sum_{i\in F_{\mathrm{deep}}}\rho(i)\;\le\;\alpha\cdot\mathcal{E}_{F^\circ}(h^*)\quad(\alpha<1),

so the fraction (1−α)(1-\alpha) of energy concentrates in FnearF_{\mathrm{near}}. □\square


7.11 Flow Stability (Theorem H)

Theorem H (Discrete Yang--Mills flow stability). If h∗h^* is a non-degenerate local minimum of EF∘\mathcal{E}_{F^\circ}, then the negative gradient flow on GF∘G^{F^\circ} converges to h∗⋅Gconsth^*\cdot\mathcal{G}_{\mathrm{const}}, and [A∞][A_\infty] is a stable fixed point.

Proof.

Step 1 (Global existence). GF∘G^{F^\circ} is compact, so the ODE h˙s=−grad E(hs)\dot h_s=-\mathrm{grad}\,\mathcal{E}(h_s) has a global solution (no blow-up).

Step 2 (Energy decrease). ddsE(hs)=−∥grad E(hs)∥2≤0\frac{d}{ds}\mathcal{E}(h_s)=-\|\mathrm{grad}\,\mathcal{E}(h_s)\|^2\le0. Since E≥0\mathcal{E}\ge0, the limit E∗:=lim⁡s→∞E(hs)\mathcal{E}^*:=\lim_{s\to\infty}\mathcal{E}(h_s) exists.

Step 3 (Real-analyticity). The energy EF∘\mathcal{E}_{F^\circ} is real-analytic on GF∘G^{F^\circ}: it is a finite sum of terms Wt(i,j) dG(gth(i,j),e)2W_t(i,j)\,d_G(g_t^h(i,j),e)^2, each of which is a real-analytic function on G∣F∘∣G^{|F^\circ|} (bi-invariant distance squared is analytic on a compact Lie group near any point, and the group operations are analytic).

Step 4 (Lojasiewicz convergence). By the Lojasiewicz gradient inequality (Fact B.8) applied to the real-analytic function E\mathcal{E} on the compact manifold GF∘G^{F^\circ}: there exist C>0C>0 and α∈[12,1)\alpha\in[\frac{1}{2},1) such that near any critical value cc:

∥grad E(h)∥≥C ∣E(h)−c∣α.\|\mathrm{grad}\,\mathcal{E}(h)\|\ge C\,|\mathcal{E}(h)-c|^\alpha.

This implies ∫0∞∥h˙s∥ ds<∞\int_0^\infty\|\dot h_s\|\,ds<\infty, so hs→h∞h_s\to h_\infty for some limit h∞h_\infty.

Step 5 (Stability basin). Since h∗h^* is a non-degenerate local minimum, h∗⋅Gconsth^*\cdot\mathcal{G}_{\mathrm{const}} is a non-degenerate critical orbit with a well-defined stable manifold WsW^s. For h0∈Wsh_0\in W^s, the flow converges to some point h∗⋅kh^*\cdot k on the orbit. Since [gh∗]Gconst=[gh∗⋅k]Gconst[g^{h^*}]_{\mathcal{G}_{\mathrm{const}}}=[g^{h^*\cdot k}]_{\mathcal{G}_{\mathrm{const}}}, the gauge class [A∞][A_\infty] is the same. □\square

Convergence rate. From the Lojasiewicz exponent α\alpha: if α=12\alpha=\frac{1}{2} (generic non-degenerate case), convergence is exponential; if α>12\alpha>\frac{1}{2}, convergence is polynomial of rate (1−α)−1(1-\alpha)^{-1}.