Prerequisites: Chapters 2--8 (Part I), Chapter 9 (Theorem H).
13.1 Motivation
In Chapters 2--8, the world 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 be a graph with triangle set (all 3-cliques). For a -valued connection , the holonomy of triangle is:
The discrete Yang--Mills energy:
Properties.
- all holonomies are trivial the connection is flat.
- non-trivial curvature topological obstruction.
- is gauge-invariant (Theorem 13.4 below).
13.3 Gradient Flow
Definition 13.2 (Discrete YM gradient flow)
On with the product Riemannian structure :
i.e., for each edge :
Theorem 13.1 (Monotone energy decrease)
Along the gradient flow: .
Proof. Chain rule: .
Since , the limit exists.
13.4 Fixed Points and Stability
Theorem 13.2 (Fixed-point characterisation)
A fixed point of the flow satisfies (critical point). If additionally is positive-definite on the normal space to the gauge orbit, then is Lyapunov stable.
Theorem 13.3 (Connection to )
The gauge class from Construction 7.6 is a stable fixed point of the gradient flow of (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 : .
Proof. . By bi-invariance of : .
Corollary. The gradient flow is gauge-equivariant: .
13.6 The Case
Theorem 13.5 ( convergence and uniqueness)
For :
- The energy is convex on the torus (each term is convex in ).
- The global minimum is unique (up to gauge).
- The flow converges exponentially to from any initial condition.
Proof. Convexity follows from for (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).
13.7 Non-Abelian Difficulties
non-convexity
For , the geodesic distance is non-convex on :
- 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 .
Gribov ambiguity
For , 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 :
- Axis 1: computed on the stabilised connection.
- Axis 2: reflects the role of doors in the equilibrium state.
- Axis 3: Barcode of reflects the final fractal structure.
The three axes read the world's stable properties---those that survive the dynamical relaxation.