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ℓPart 4· Chapter 13

Chapter 13 — Yang–Mills Flow

Prerequisites: Chapters 2--8 (Part I), Chapter 9 (Theorem H).


13.1 Motivation

In Chapters 2--8, the world Wt\mathfrak{W}_t was analysed at a frozen instant. The question now is: how does the gauge connection evolve over time?

The discrete Yang--Mills gradient flow provides the answer. Starting from an arbitrary connection, the flow minimises curvature energy, automatically stabilising the world's essential structure.


13.2 Discrete Yang--Mills Energy

Definition 13.1 (Discrete YM energy)

Let (V,E,T)(V,E,\mathcal{T}) be a graph with triangle set T\mathcal{T} (all 3-cliques). For a GG-valued connection A={gij}(i,j)∈EA=\{g_{ij}\}_{(i,j)\in E}, the holonomy of triangle △=(i,j,k)\triangle=(i,j,k) is:

Ω△(A):=gij⋅gjk⋅gki∈G.\Omega_\triangle(A):=g_{ij}\cdot g_{jk}\cdot g_{ki}\in G.

The discrete Yang--Mills energy:

E(A):=∑△∈TdG(Ω△(A),e)2.\mathcal{E}(A):=\sum_{\triangle\in\mathcal{T}}d_G(\Omega_\triangle(A),e)^2.

Properties.

  • E(A)=0  ⟺  \mathcal{E}(A)=0\iff all holonomies are trivial   ⟺  \iff the connection is flat.
  • E(A)>0  ⟺  \mathcal{E}(A)>0\iff non-trivial curvature   ⟺  \iff topological obstruction.
  • E\mathcal{E} is gauge-invariant (Theorem 13.4 below).

13.3 Gradient Flow

Definition 13.2 (Discrete YM gradient flow)

On GEG^E with the product Riemannian structure ∑(i,j)⟨⋅,⋅⟩g\sum_{(i,j)}\langle\cdot,\cdot\rangle_{\mathfrak{g}}:

dAsds=−grad E(As),\frac{dA_s}{ds}=-\mathrm{grad}\,\mathcal{E}(A_s),

i.e., for each edge (i,j)(i,j):

dgij(s)ds=−∂E∂gij∣g.\frac{dg_{ij}(s)}{ds}=-\frac{\partial\mathcal{E}}{\partial g_{ij}}\bigg|_{\mathfrak{g}}.

Theorem 13.1 (Monotone energy decrease)

Along the gradient flow: ddsE(As)=−∥grad E(As)∥2≤0\frac{d}{ds}\mathcal{E}(A_s)=-\|\mathrm{grad}\,\mathcal{E}(A_s)\|^2\le 0.

Proof. Chain rule: ddsE=⟨grad E,A˙s⟩=−∥grad E∥2\frac{d}{ds}\mathcal{E}=\langle\mathrm{grad}\,\mathcal{E},\dot A_s\rangle=-\|\mathrm{grad}\,\mathcal{E}\|^2. □\square

Since E≥0\mathcal{E}\ge0, the limit E∗:=lim⁡s→∞E(As)\mathcal{E}^*:=\lim_{s\to\infty}\mathcal{E}(A_s) exists.


13.4 Fixed Points and Stability

Theorem 13.2 (Fixed-point characterisation)

A fixed point A∗A^* of the flow satisfies grad E(A∗)=0\mathrm{grad}\,\mathcal{E}(A^*)=0 (critical point). If additionally Hess(E)∣A∗\mathrm{Hess}(\mathcal{E})|_{A^*} is positive-definite on the normal space to the gauge orbit, then A∗A^* is Lyapunov stable.

Theorem 13.3 (Connection to [A∞][A_\infty])

The gauge class [A∞][A_\infty] from Construction 7.6 is a stable fixed point of the gradient flow of EF∘\mathcal{E}_{F^\circ} (flattening energy on the fruit kernel). This follows from Theorem H (Chapter 9).


13.5 Gauge Invariance

Theorem 13.4 (Gauge invariance of YM energy)

For any gauge transformation h:V→Gh:V\to G: E(Ah)=E(A)\mathcal{E}(A^h)=\mathcal{E}(A).

Proof. Ω△h=h(i) Ω△ h(i)−1\Omega_\triangle^h=h(i)\,\Omega_\triangle\,h(i)^{-1}. By bi-invariance of dGd_G: dG(Ωh,e)=dG(Ω,e)d_G(\Omega^h,e)=d_G(\Omega,e). □\square

Corollary. The gradient flow is gauge-equivariant: dds(Ah)s=(ddsAs)h\frac{d}{ds}(A^h)_s=(\frac{d}{ds}A_s)^h.


13.6 The U(1)U(1) Case

Theorem 13.5 (U(1)U(1) convergence and uniqueness)

For G=U(1)G=U(1):

  1. The energy E\mathcal{E} is convex on the torus (S1)∣E∣(S^1)^{|E|} (each term 2(1−cos⁡θ)2(1-\cos\theta) is convex in θ∈(−π,π)\theta\in(-\pi,\pi)).
  2. The global minimum is unique (up to gauge).
  3. The flow converges exponentially to [A∞][A_\infty] from any initial condition.

Proof. Convexity follows from d2dθ2(1−cos⁡θ)=cos⁡θ>0\frac{d^2}{d\theta^2}(1-\cos\theta)=\cos\theta>0 for ∣θ∣<π/2|\theta|<\pi/2 (near the minimum). The strict convexity of the total energy on the connected quotient space gives uniqueness. Exponential convergence follows from the positive spectral gap of the Hessian (Theorem 7.11). □\square


13.7 Non-Abelian Difficulties

SU(2)SU(2) non-convexity

For G=SU(2)G=SU(2), the geodesic distance dSU(2)(g,h)=arccos⁡(∣tr(g†h)∣/2)d_{SU(2)}(g,h)=\arccos(|\mathrm{tr}(g^\dagger h)|/2) is non-convex on SU(2)∣E∣SU(2)^{|E|}:

  • Multiple local minima may exist.
  • Not every critical point is stable.
  • Initial conditions may lead to different limit points.

This is the core reason Conjecture 7.10 (gauge-fixing uniqueness) remains open for non-abelian GG.

Gribov ambiguity

For G=SU(2)G=SU(2), the space of gauge-inequivalent connections modulo gauge may have non-trivial topology (Gribov copies). This complicates:

  • Gauge fixing: no single global gauge choice may work.
  • Counting fixed points.
  • Global properties of the moduli space.

Workaround: compute gauge-invariant quantities (Axes 1--3) directly, bypassing gauge fixing.


13.8 Integration with the Three Axes

After the flow converges to A∞A_\infty:

  • Axis 1: H∗(Kα;A)H^*(K_\alpha;A) computed on the stabilised connection.
  • Axis 2: H∗(Kα,Lα;A)H^*(K_\alpha,L_\alpha;A) reflects the role of doors in the equilibrium state.
  • Axis 3: Barcode of Σ\Sigma reflects the final fractal structure.

The three axes read the world's stable properties---those that survive the dynamical relaxation.