computo ergo sum

2026-10-09 · chapter Yang–Mills and the mass gapPart 11 Further considerationsthe convexity ceiling, the currency of rarity, candidate rules · Kiichi, Shiori and Rin

The whole book Contents and reading orders
  1. Part 0 Entrance — how to read this book
  2. 0-01 How to read this book
  3. 0-02 One picture
  4. 0-03 Reading the problem statement word by word
  5. 0-04 Four dimensions in mathematics and four dimensions in physics
  6. Part 1 Mathematical preparation
  7. 1-01 Vector spaces and linear maps
  8. 1-02 What a group is
  9. 1-03 Lie groups and Lie algebras
  10. 1-04 SU(2) and SU(3)
  11. 1-05 Manifolds and tangent spaces
  12. 1-06 Differential forms and the exterior derivative
  13. 1-07 Vector bundles and connections
  14. 1-08 Probability and measure
  15. 1-09 Probability in infinite dimensions
  16. 1-10 Hilbert spaces and self-adjoint operators
  17. 1-11 Fourier analysis and distributions
  18. 1-12 Detour: what happens only in four dimensions
  19. Part 2 Physical preparation
  20. 2-01 Lagrangians and the action
  21. 2-02 The idea of a field
  22. 2-03 Electromagnetism is a gauge theory
  23. 2-04 Special relativity and spacetime
  24. 2-05 The bones of quantum mechanics
  25. 2-06 The harmonic oscillator and creation and annihilation
  26. 2-07 The idea of the path integral
  27. 2-08 Statistical mechanics and phase transitions
  28. 2-09 Detour: the gap and the correlation length in the Ising model
  29. 2-10 The relaxation time and the dynamical exponent z
  30. Part 3 Yang–Mills theory (classical)
  31. 3-01 The gauge principle
  32. 3-02 Non-abelian gauge fields
  33. 3-03 The action and the equations
  34. 3-04 Gauge theory as geometry
  35. 3-05 Instantons and topology
  36. 3-06 Detour: Donaldson and exotic R⁴
  37. 3-07 Yang–Mills inside the Standard Model
  38. Part 4 Quantisation
  39. 4-01 Canonical quantisation and the Hamiltonian
  40. 4-02 The path integral and Euclideanisation
  41. 4-03 Perturbation theory and Feynman diagrams
  42. 4-04 Divergences and renormalisation
  43. 4-05 The algebra of divergences
  44. 4-06 Asymptotic freedom
  45. 4-07 Dimensional transmutation and Λ
  46. 4-08 Gauge fixing and Faddeev–Popov
  47. 4-09 The axioms of quantum field theory
  48. 4-10 The Osterwalder–Schrader axioms and reconstruction
  49. 4-11 The definition of the mass gap
  50. 4-12 Detour: the perturbation series diverges
  51. Part 5 Lattice gauge theory
  52. 5-01 Wilson's lattice
  53. 5-02 The strong-coupling expansion
  54. 5-03 Reflection positivity and the transfer matrix
  55. 5-04 The infinite-volume limit and the cluster expansion
  56. 5-05 Weak coupling and the continuum limit
  57. 5-06 How U(1) differs from the non-abelian case
  58. 5-07 The Monte Carlo method
  59. 5-08 Measuring glueballs and the string tension
  60. 5-09 What to hold fixed when taking the limit
  61. 5-10 Lattice gauge theory with finite groups
  62. 5-11 Detour: Bakry–Émery and one-link integration
  63. Part 6 Constructive field theory
  64. 6-01 What constructive field theory is
  65. 6-02 Solvability in two dimensions and the Yang–Mills measure
  66. 6-03 Constructing scalar fields
  67. 6-04 The cluster expansion
  68. 6-05 The sequence of renormalisation group steps
  69. 6-06 Ultraviolet stability of three-dimensional Yang–Mills
  70. 6-07 Four dimensions
  71. 6-08 Triviality of φ⁴ in four dimensions
  72. 6-09 Stochastic quantisation and regularity structures
  73. 6-10 Where four dimensions stops
  74. 6-11 Obstacles other than divergence
  75. 6-12 Detour: "if 1/0 is given a symbol"
  76. Part 7 From the side of physics
  77. 7-01 How physics sees it
  78. 7-02 Mechanisms of confinement
  79. 7-03 The string picture
  80. 7-04 Large N
  81. 7-05 String theory and extra dimensions
  82. 7-06 How extra dimensions become invisible
  83. 7-07 Where gauge fields come from
  84. 7-08 Holography
  85. 7-09 The mass gap becomes geometry
  86. 7-10 Back to four dimensions
  87. 7-11 Supersymmetry and Seiberg–Witten
  88. 7-12 The sentence that plays the role of an equivalence principle
  89. 7-13 Where the way physics digs parts from mathematics
  90. Part 8 A dictionary of two languages — the physical and the mathematical view
  91. 8-01 How to read the dictionary
  92. 8-02 Dictionary A
  93. 8-03 Dictionary B
  94. 8-04 Dictionary C
  95. 8-05 The physical counterparts of our assumptions
  96. Part 9 Where things stand, and open tasks
  97. 9-01 How far the world has come
  98. 9-02 Where the two ways of digging part
  99. 9-03 Candidates for new concepts
  100. 9-04 The list of open tasks
  101. 9-05 Common misconceptions
  102. Part 10 Towards a proof of the mass gap — building the first step of the staircase
  103. 10-00 Entrance — the staircase, and the random walk, the ruler and the clock
  104. 10-01 The line of construction and Assumption H
  105. 10-02 Roads tried on the four-dimensional lattice, and walls
  106. 10-03 The four steps of the staircase — why we start from 0+1 dimensions
  107. 10-04 The path measure of the double well, and kinks
  108. 10-05 The statement of the first step — four conditions and Proposition 4.5
  109. 10-06 (H1) Local Poincaré within a phase
  110. 10-07 The map of (H2) — seven routes and the seam of the ring
  111. 10-08 What computer-assisted means — the conditions on the chain inside the window
  112. 10-09 The sector framework and the three strands of route 5
  113. 10-10 The list of detour plans — types of breakage
  114. 10-11 (H3)(H4) and the constant of the core
  115. 10-12 The integrated table and the dependency graph
  116. 10-13 Lean statements and the limits of machine checking
  117. 10-14 Reconciliation — the numbers of the record and the known numbers
  118. 10-15 What remains and its cost — the distance to a theorem
  119. 10-16 What is not claimed
  120. 10-17 Insights and small questions
  121. Part 11 Further considerations — beyond Assumption H, and other views
  122. 11-00 Further considerations — entrance
  123. 11-01 One form that obstructs H — a nearly conserved global quantity
  124. 11-02 Choosing the ruler and the coordinates again — the length at which conservation breaks
  125. 11-03 Two ways to repair H — the sector H and the local H
  126. 11-04 Which H the one-sided bridge needs
  127. 11-05 Making time continuous — the Hamiltonian lattice and the vacuum measure
  128. 11-06 Paying with rarity instead of convexity — renormalisation on groups and log-Sobolev
  129. 11-07 Because it is four dimensions — the dimensionless coupling and topology
  130. 11-08 Questions, and what is not claimed
  131. 11-A1 Table of notation for Part 11
  132. Appendices
  133. A-01 Table of notation
  134. A-02 Glossary
  135. A-03 Guide to the literature
  136. A-04 Lean and machine checking
  137. A-05 How this book was made
  138. A-06 Index of assumptions

Paying with rarity instead of convexity — renormalisation on groups and log-Sobolev

What this chapter shows — From here on the subject is tools. 11-01 to 11-05 dealt with "what to compare, and which H to restate". To show any statement, a tool that bounds the relaxation constant from above is needed. On flat space the centre of such tools is convexity (Bakry–Émery, Brascamp–Lieb), and for scalar hierarchical models a theorem of the same type as Assumption H has been shown, with uniform convexity of the conditional measure at each scale as the entrance. In this chapter: (1) we look at what the convexity tools need and where they break, in three places: the summit in 0+1 dimensions, the antipode on the group, and the induction hypothesis of the hierarchical model. On a group, by the convexity-ceiling lemma on closed manifolds (with a proof), convexity cannot hold in principle at weak-coupling scales. (2) Between flat ϕ4\phi^4 and the group, the convex and non-convex places are reversed, and the wall does not vanish but is pushed into a place of probability e−cβe^{-c\beta}. (3) We then list tools that pay with rarity instead of convexity (the currency of entropy, Lyapunov conditions, field-dependent constants), and see that the margin of the action barrier in Part 10 is "an example where rarity paid". (4) We place as a candidate "the class of measures that pay with rarity", rewritten in the form of rules, and check that the "coupling window" left between the ultraviolet side and the strong-coupling side is a restatement of the second difficulty of the third step. (5) We add one section on the road of stochastic quantisation.

Prerequisite chapters — 10-09 §06 (the one-site curvature at the summit, 154\tfrac{15}{4} and 44), 10-10 Type 4 (currency), 10-11 §06 (the margin of the action barrier), 11-02 §02 (tree coordinates and link coordinates), 11-07 §05 (the three roots). From Part 1, 1-05 (manifolds) and 1-04 (SU(2)SU(2)). Notation is in 11-A1.

Said first — The level is [Res]; the summary in §01 is [Y3]. Proofs are placed only for the lemma, corollary and proposition of §03; the rest is copied from the originals (Cited) or estimates (Estimate). The results for hierarchical models imply nothing for four-dimensional Yang–Mills. The "rules" of §07 are candidates, and none of them promises a prospect of closing the third step (the continuum limit). This chapter shows neither the mass gap nor Assumption H. A note on notation: in this chapter the lower bound on the Bakry–Émery curvature is written κBE\kappa_{\rm BE}, a different quantity from the comparison constant κ\kappa of Proposition B (11-A1). The rate of rarity is written ss (μ(B)≤e−s\mu(B)\le e^{-s}). It is the quantity written ℓ\ell in 10-09 and 10-10 of Part 10; in Part 11 we changed the letter because ℓ\ell is used for the ruler of length.

The order of this chapter
  1. Summary [Y3] — the convexity ceiling, the reversal of places, the currency of rarity
  2. What the convexity tools need — Bakry–Émery, Brascamp–Lieb, the induction hypothesis of the hierarchical model
  3. The convexity ceiling on closed manifolds — Lemma 1, Corollary 2, Proposition 3 (with proofs)
  4. The convex and non-convex places are reversed — ϕ4\phi^4 and the group; the wall goes to where the probability is small (Figure 1)
  5. Carrying the hierarchical induction over to the group — applies, changes, does not apply (Table 1)
  6. Tools that pay with rarity — currency, Lyapunov, field-dependent constants, the example of the action barrier (Table 2)
  7. If it were made into rules — the class of measures that pay with rarity — objects, rules, candidate first theorems, the coupling window
  8. The road of stochastic quantisation — subcriticality d<4d\lt4, and the direction of rebuilding where the objects live
  9. What cannot be said
  10. Table of the five grades and the dependency graph — Table 3

01

Summary [Y3] — the convexity ceiling, the reversal of places, the currency of rarity

This section is a ten-paragraph summary for readers at [Y3]. The proofs and the conditions of the originals are in §02 onwards.

  1. A hierarchical model replaces the lattice by nested boxes so that one step of renormalisation can be written down. For the four-dimensional hierarchical scalar ∣ϕ∣4|\phi|^4, both the equilibrium properties (the book by Bauerschmidt–Brydges–Slade) and the slowness of relaxation of the stochastic dynamics (Bauerschmidt–Bodineau: the gap vanishes with the same power as for the free field) are theorems Cited. The latter is a statement of the same type as Assumption H.
  2. The method of Bauerschmidt–Bodineau takes as its entrance the hypothesis that at each scale "the measure of the fine fluctuations, with the coarse field held fixed, is uniformly convex" Cited. The original itself names convexity at large fields as the main issue in extending the method beyond hierarchical models.
  3. The group SU(2)SU(2) is a closed space (the three-dimensional sphere). On a closed space, imposing convexity bounds the oscillation of the potential by the square of the diameter, and the measure cannot leave the range of a constant multiple of the uniform distribution (Lemma 1 of §03) Proved here. At weak coupling the measure needs to gather near the identity, so the convexity hypothesis cannot hold in principle at weak-coupling scales.
  4. For ϕ4\phi^4 on flat space, large fields are convex by nature, and what is not convex is small fields (between the two wells). On the group it is the reverse: near the identity (small fields) is convex, and the far hemisphere (large fields) is necessarily non-convex (§04) Proved here.
  5. However, the probability of being on the non-convex side is small, of the order of e−βe^{-\beta} (Proposition 3 of §03) Proved here. The wall does not vanish; it is pushed into a place of small probability.
  6. The wall of the first step of Part 10 (that the one-site diagonal at the summit 154\tfrac{15}{4} falls short of the sum of couplings 44 by 14\tfrac14) also took the form of paying for the lack of convexity with the rarity of the plateau. The Poincaré inequality is a currency that measures the speed of exit, and what can pay with rarity is the currency of entropy (10-10 Type 4). A step that pays with rarity needs to pass through an inequality of log-Sobolev type.
  7. Tools that pay with rarity instead of convexity include Lyapunov conditions (a drift that returns from the bad set) and field-dependent constants. The estimate of the action barrier in Part 10 was an example where the cost of the bistability of the core could be paid by the rarity of the local term (a margin of about 95 times, on the ℏ=0\hbar=0 reading).
  8. The one-link measure has a single well, and its relaxation constant does not get exponentially worse in β\beta. A wall of the 14\tfrac14 type of the double well does not come back for one link Estimate.
  9. Rewritten in the form of rules, this becomes "the class of measures that pay with rarity" (§07). On the ultraviolet side it seems possible to write a form in which the class closes at each step of coarse-graining, but at the confinement scale the rate of rarity runs out, and a "coupling window" remains between it and the curvature tools of the strong-coupling side. This is a restatement of the second difficulty of the third step (11-07 §06) Estimate.
  10. The road of stochastic quantisation (SPDE) uses the same Langevin dynamics, but its aim is the construction of the measure, and the solution theory is subcritical only for d<4d\lt4 Cited. It gives tools neither for the four-dimensional H nor for the local H.
02

What the convexity tools need — Bakry–Émery, Brascamp–Lieb, the induction hypothesis of the hierarchical model

Most tools that bound the relaxation constants (the Poincaré constant, the log-Sobolev constant) from above take as their entrance a lower bound on the second derivative of the potential, that is, convexity. We list three.

Bakry–Émery. For a probability measure μ=e−Vdvol/Z\mu=e^{-V}d\mathrm{vol}/Z on a Riemannian manifold MM,

Ric⁡+Hess⁡V ≥ κBE g(κBE>0)⟹Ent⁡μ(f2)≤2κBE∫∣∇f∣2dμ,CP≤1κBE(1)\operatorname{Ric}+\operatorname{Hess}V\ \ge\ \kappa_{\rm BE}\,g\quad(\kappa_{\rm BE}\gt0)\qquad\Longrightarrow\qquad \operatorname{Ent}_\mu(f^2)\le\frac{2}{\kappa_{\rm BE}}\int|\nabla f|^2d\mu,\quad C_P\le\frac1{\kappa_{\rm BE}} \tag{1}

Cited (the single-scale case of Theorem 3.6 of the review by Bauerschmidt–Bodineau–Dagallier). The condition is a lower bound at every point.

Brascamp–Lieb. On Rn\mathbb R^n, if Hess⁡V>0\operatorname{Hess}V\gt0 then Var⁡μ(f)≤Eμ⟨∇f,(Hess⁡V)−1∇f⟩\operatorname{Var}_\mu(f)\le\mathbb E_\mu\langle\nabla f,(\operatorname{Hess}V)^{-1}\nabla f\rangle Cited (the form used by Lemma 2.7 of Bauerschmidt–Bodineau). This too uses convexity at each point.

The hierarchical induction. Bauerschmidt–Bodineau split the Gaussian covariance by scale as C=C0+⋯+CNC=C_0+\cdots+C_N, form the renormalised potential e−Vj+1(ϕ)=ECje−Vj(ϕ+ζ)e^{-V_{j+1}(\phi)}=\mathbb E_{C_j}e^{-V_j(\phi+\zeta)} (addition of fields ϕ+ζ\phi+\zeta), and place the following hypothesis Cited (arXiv:1809.02075 §2.3).

(A1)C1/2(Hess⁡Vj(ϕ))C1/2 ≥ −εj Q(for all ϕ, εj<1)(2)\text{(A1)}\qquad C^{1/2}\bigl(\operatorname{Hess}V_j(\phi)\bigr)C^{1/2}\ \ge\ -\varepsilon_j\,Q\qquad(\text{for all }\phi,\ \varepsilon_j\lt1) \tag{2}

Here QQ is the projection onto the space of coarse fields, and εj\varepsilon_j is the notation of the original (different from the lattice spacing ε\varepsilon in 0+1 dimensions). Under (A1) and two structural hypotheses, the Brascamp–Lieb quadratic form is handed on at each step as D≤C/(1−ε)+D+/(1−ε)2D\le C/(1-\varepsilon)+D_+/(1-\varepsilon)^2, and the product over all steps is bounded by exp⁡(2∑l(εl+O(εl2)))\exp\bigl(2\sum_l(\varepsilon_l+O(\varepsilon_l^2))\bigr) (Theorem 2.1, Corollary 2.2) Cited. The conclusion is a spectral gap (of Poincaré type), not a log-Sobolev result. The form that flows log-Sobolev over many scales is later work by the same authors (the Polchinski flow, §05). The original writes that "to extend this method beyond hierarchical models, convexity rather than probabilistic estimates is needed, and convexity at large fields is the main issue" Cited.

Three places where it breaks. (a) The summit of the 0+1-dimensional double well. In one row of the Hessian of the action of the core, at the summit the diagonal 4−144-\tfrac14 falls short of the sum of the couplings to the neighbours 44 ((11) of 10-09), and on the face where every site is at the summit, the smallest eigenvalue of a lump of length k≥8k\ge8 is negative Proved here. Every convexity tool had to pay for this 14\tfrac14 with the rarity of the plateau. (b) The opposite hemisphere of the group. In Proposition 3 of §03 we see that the Bakry–Émery curvature of the one-link Wilson weight is negative on the far hemisphere. (c) (A1) of the hierarchical induction. For group-valued fields, the natural reading of (A1) is "Bakry–Émery for the measure on the fibre with the coarse field held fixed" Estimate, and by Lemma 1 of §03 it cannot hold at weak-coupling scales.

What this section can say: (1)(2) and Theorem 2.1 are copies of the statements of the originals. The reading in (c) (reading (A1) on the group as Bakry–Émery on the fibre) is an estimate, and this book has no exact formulation of the induction on the group.

03

The convexity ceiling on closed manifolds — Lemma 1, Corollary 2, Proposition 3

Lemma 1 (the convexity ceiling)

Let MM be a compact connected Riemannian manifold without boundary of diameter DD, V∈C2(M)V\in C^2(M), K≥0K\ge0. If Hess⁡V≥−K g\operatorname{Hess}V\ge-K\,g, then

osc⁡V:=max⁡MV−min⁡MV ≤ KD22.(3)\operatorname{osc}V:=\max_MV-\min_MV\ \le\ \frac{K D^2}{2}. \tag{3}

Proved here Proof. Let pp be a maximum point of VV (MM is compact). For any q∈Mq\in M, take a minimising geodesic γ:[0,L]→M\gamma:[0,L]\to M from pp to qq (unit speed, L=d(p,q)≤DL=d(p,q)\le D) (it exists by the Hopf–Rinow theorem, since a compact manifold is complete). Setting h(t):=V(γ(t))h(t):=V(\gamma(t)), since pp is a maximum point on a manifold without boundary, h′(0)=dVp(γ′(0))=0h'(0)=dV_p(\gamma'(0))=0. Along the geodesic, h′′(t)=Hess⁡V(γ′(t),γ′(t))≥−Kh''(t)=\operatorname{Hess}V(\gamma'(t),\gamma'(t))\ge-K. Integrating gives h′(t)≥−Kth'(t)\ge-Kt, and integrating once more gives h(t)≥h(0)−Kt2/2h(t)\ge h(0)-Kt^2/2. At t=Lt=L, V(q)≥max⁡V−KL2/2≥max⁡V−KD2/2V(q)\ge\max V-KL^2/2\ge\max V-KD^2/2. Since qq is arbitrary, (3) follows. ∎

There is no Lean check (the one-dimensional version "if h′′≥−Kh''\ge-K and h′(0)=0h'(0)=0 then h(0)−h(x)≤Kx2/2h(0)-h(x)\le Kx^2/2" is kept as a candidate). The key of the proof is that "the first derivative vanishes at a maximum point", and here the absence of boundary (being closed) is what works. Flat Rn\mathbb R^n has no maximum point, so the same estimate does not follow.

Corollary 2 (on SU(2)SU(2), a convex measure cannot gather at the identity)

Take SU(2)SU(2) as the unit three-dimensional sphere S3S^3 (bi-invariant metric, Ric⁡=2g\operatorname{Ric}=2g, diameter π\pi), and suppose μ=e−VdHaar/Z\mu=e^{-V}d\mathrm{Haar}/Z satisfies Ric⁡+Hess⁡V≥0\operatorname{Ric}+\operatorname{Hess}V\ge0. Then osc⁡V≤π2\operatorname{osc}V\le\pi^2, and for every Borel set AA

μ(A) ≤ eπ2 Haar(A),μ({θ≤r}) ≤ eπ2 23π r3(4)\mu(A)\ \le\ e^{\pi^2}\,\mathrm{Haar}(A),\qquad \mu\bigl(\{\theta\le r\}\bigr)\ \le\ e^{\pi^2}\,\frac{2}{3\pi}\,r^3 \tag{4}

(θ\theta is the geodesic distance from the identity, eπ2≈1.9×104e^{\pi^2}\approx1.9\times10^4). In particular the one-link Wilson weight (osc⁡V=2β\operatorname{osc}V=2\beta) does not satisfy Ric⁡+Hess⁡V≥0\operatorname{Ric}+\operatorname{Hess}V\ge0 for β>π2/2\beta\gt\pi^2/2.

Proved here Proof. Since Hess⁡V≥−Ric⁡=−2g\operatorname{Hess}V\ge-\operatorname{Ric}=-2g, using Lemma 1 with K=2K=2 and D=πD=\pi gives osc⁡V≤π2\operatorname{osc}V\le\pi^2. Since Z=∫e−VdHaar≥e−max⁡VZ=\int e^{-V}d\mathrm{Haar}\ge e^{-\max V}, the density is e−V/Z≤emax⁡V−min⁡V≤eπ2e^{-V}/Z\le e^{\max V-\min V}\le e^{\pi^2}. The Haar distribution of class functions is 2πsin⁡2θ dθ\frac2\pi\sin^2\theta\,d\theta (θ∈[0,π]\theta\in[0,\pi]), and from sin⁡θ≤θ\sin\theta\le\theta, Haar(θ≤r)≤2π⋅r33\mathrm{Haar}(\theta\le r)\le\frac2\pi\cdot\frac{r^3}3. The Wilson weight V=β(1−cos⁡θ)V=\beta(1-\cos\theta) has osc⁡V=2β\operatorname{osc}V=2\beta, so if 2β>π22\beta\gt\pi^2 it contradicts the inequality stated before (4). ∎

How to read (4). At weak coupling, the Wilson measure gathers most of its probability in a ball of radius of order β−1/2\beta^{-1/2}. The right-hand side of (4) gets small like r3r^3, so when β\beta is large, a measure with convexity of Bakry–Émery type cannot do that. The content of the lemma is that once convexity is imposed, the measure cannot move further from Haar than a constant factor eπ2e^{\pi^2}.

Proposition 3 (the one-link Wilson weight)

On the unit S3=SU(2)S^3=SU(2), let Vβ=β(1−cos⁡θ)V_\beta=\beta(1-\cos\theta) and μβ=e−VβdHaar/Zβ\mu_\beta=e^{-V_\beta}d\mathrm{Haar}/Z_\beta.

(i) Ric⁡+Hess⁡Vβ=(2+βcos⁡θ) g\operatorname{Ric}+\operatorname{Hess}V_\beta=(2+\beta\cos\theta)\,g. Hence the Bakry–Émery condition holds only when β<2\beta\lt2, and then κBE=2−β\kappa_{\rm BE}=2-\beta.

(ii) When β>2\beta\gt2, the set where the condition fails, Nβ:={cos⁡θ<−2/β}N_\beta:=\{\cos\theta\lt-2/\beta\}, lies in the hemisphere far from the identity, and on it Vβ≥β+2V_\beta\ge\beta+2.

(iii) For β≥2\beta\ge2,

μβ(Nβ) ≤ 54π25 e−3/2 β3/2e−β < 1.52 β3/2e−β.(5)\mu_\beta(N_\beta)\ \le\ \frac{54\pi}{25}\,e^{-3/2}\,\beta^{3/2}e^{-\beta}\ \lt\ 1.52\,\beta^{3/2}e^{-\beta}. \tag{5}

Proved here Proof. (i) A function ff of θ\theta alone on the unit sphere has, in geodesic polar coordinates g=dθ2+sin⁡2θ gS2g=d\theta^2+\sin^2\theta\,g_{S^2}, Hess⁡f=f′′ dθ2+f′cot⁡θ (g−dθ2)\operatorname{Hess}f=f''\,d\theta^2+f'\cot\theta\,(g-d\theta^2) (the radial direction from the second derivative along geodesics, the spherical directions from the second fundamental form cot⁡θ\cot\theta of the sphere of constant θ\theta). For f=β(1−cos⁡θ)f=\beta(1-\cos\theta), f′′=βcos⁡θf''=\beta\cos\theta and f′cot⁡θ=βsin⁡θcot⁡θ=βcos⁡θf'\cot\theta=\beta\sin\theta\cot\theta=\beta\cos\theta, so Hess⁡Vβ=βcos⁡θ g\operatorname{Hess}V_\beta=\beta\cos\theta\,g. On the unit S3S^3, Ric⁡=2g\operatorname{Ric}=2g. The minimum is 2−β2-\beta at θ=π\theta=\pi. (ii) If cos⁡θ<−2/β<0\cos\theta\lt-2/\beta\lt0 then θ>π/2\theta\gt\pi/2, and Vβ=β(1−cos⁡θ)>β+2V_\beta=\beta(1-\cos\theta)\gt\beta+2. (iii) On NβN_\beta, e−Vβ≤e−β−2e^{-V_\beta}\le e^{-\beta-2}, and the Haar measure is at most 1, so ∫Nβe−Vβ≤e−β−2\int_{N_\beta}e^{-V_\beta}\le e^{-\beta-2}. For the denominator, on the ball of r=β−1/2≤1r=\beta^{-1/2}\le1, 1−cos⁡θ≤θ2/21-\cos\theta\le\theta^2/2 gives Vβ≤12V_\beta\le\tfrac12, and for θ≤1\theta\le1, sin⁡θ≥θ−θ3/6≥56θ\sin\theta\ge\theta-\theta^3/6\ge\tfrac56\theta gives Haar(θ≤r)≥2π⋅2536⋅r33=2554πr3\mathrm{Haar}(\theta\le r)\ge\frac2\pi\cdot\frac{25}{36}\cdot\frac{r^3}3=\frac{25}{54\pi}r^3. Hence Zβ≥e−1/22554πβ−3/2Z_\beta\ge e^{-1/2}\frac{25}{54\pi}\beta^{-3/2}, and dividing gives (5) (54π25e−3/2=1.514⋯\frac{54\pi}{25}e^{-3/2}=1.514\cdots). ∎

(5) is a crude upper bound; near the antipode (θ≈π\theta\approx\pi, Vβ≈2βV_\beta\approx2\beta) the probability is smaller still, of order e−2βe^{-2\beta}. β<2\beta\lt2 in (i) is sharper than the necessary condition β≤π2/2\beta\le\pi^2/2 that follows from Lemma 1. The role of Lemma 1 is that it is not limited to the Wilson weight: any weight, once convexity is imposed, is confined to the range of (4).

What this section can say: Lemma 1, Corollary 2 and Proposition 3 are statements with proofs placed. What they speak of is the convexity of one measure on one manifold; about the convexity of the conditional measure on the fibre (a measure on the product of many links) they speak only through the estimate of §05.

04

The convex and non-convex places are reversed — the wall goes to where the probability is small

For ϕ4\phi^4 on flat space (of the type of the one-site V(ϕ)=λ(ϕ2−v2)2V(\phi)=\lambda(\phi^2-v^2)^2), V′′(ϕ)=4λ(3ϕ2−v2)V''(\phi)=4\lambda(3\phi^2-v^2) is negative only for ∣ϕ∣<v/3|\phi|\lt v/\sqrt3. What is not convex is small fields (near the summit between the two wells), and at large fields VV grows like ϕ4\phi^4 and is convex. Bauerschmidt–Bodineau wrote "convexity at large fields" as the issue because one needs to show uniformly that the effective potential after renormalisation stays convex at large fields too.

On the group it is the reverse. As in (i) of Proposition 3, near the identity (small fields, θ<π/2\theta\lt\pi/2) Hess⁡Vβ>0\operatorname{Hess}V_\beta\gt0 and it is close to Gaussian, while on the far hemisphere (large fields) Hess⁡Vβ<0\operatorname{Hess}V_\beta\lt0. This is not peculiar to the Wilson weight. A smooth function on a closed manifold has a maximum point, and at a maximum point Hess⁡V≤0\operatorname{Hess}V\le0. The non-convex place at large fields always exists, for topological reasons Proved here. On the other hand, as in (iii) of Proposition 3, the probability of being there is of order e−βe^{-\beta}.

Figure 1  Convex and non-convex places
          (horizontal axis: size of the field; |φ| for φ⁴, angle θ from the identity for the group)

  φ⁴ (flat space):
     |φ| small ――――――――――― |φ| ≈ v ――――――――――――― |φ| large
     non-convex (summit)   bottom of well (convex)   convex (grows like φ⁴)
     → the non-convex place is "small fields".
       Its probability is set by the frequency of crossing between the wells

  SU(2) (closed sphere):
     θ small ――――――――――――― θ = π/2 ――――――――――――― θ = π (antipode)
     convex (near Gaussian)  boundary              non-convex (always, at the maximum)
     → the non-convex place is "large fields".
       Its probability is of order e^(−β) (Proposition 3)

The wall does not vanish; it is pushed into a place of small probability. On flat space, tools that avoid the non-convex summit were conceivable (imposing convexity at large fields, treating small fields separately). On the group the non-convex place cannot be avoided (Lemma 1), but in exchange its probability is exponentially small (Proposition 3). So tools on the group must push with probability, not with convexity Estimate.

An example where the rate of rarity was measured. On the width-2 strip of two-dimensional U(1)U(1), the slope of the raw rate of wrapping of a single plaquette (a rare event that crosses a barrier of height 2β2\beta) matched the slope 2−1/β2-1/\beta of the Kramers rate βe−2β\beta e^{-2\beta} to 1–3% (β=3..6\beta=3..6, outer boundary frozen, a post-hoc check, 11-02 §05) Reading. The relation between this number and renormalisation on the group is an estimate.

The smallest example where rarity cannot be paid with local quantities. For the 0+1-dimensional double well, even for the shortest window (a single time) the local ratio is not 1 but exactly ωb/m\omega_b/m ((7) of 11-03, 11-04 §07) Proved here (Lean LatticeGauge.LocalHDoubleWell.one_slice_ratio, assumptions: 0<ε0\lt\varepsilon, 0<m0\lt m, 0<ω0\lt\omega. The bundle guarantees only the algebra). The influence of the non-convex summit remains in the ratio however short the window is made. The implication for the group is an estimate Estimate.

What this section can say: that the non-convex place always exists for topological reasons, and the upper bound (5) on its probability, have proofs. "Must be tools that push with probability" is an estimate.

05

Carrying the hierarchical induction over to the group — applies, changes, does not apply

The model. As a four-dimensional hierarchical gauge model, we consider the lattice on which the recursion of the Migdal–Kadanoff approximation holds exactly (Ito 1984 Cited). Setting the couplings of the vertical plaquettes to 00 or ∞\infty place by place, the recursion of the plaquette weight gg can be written down in the form g↦(g∗4)4g\mapsto(g^{*4})^4 (a convolution gluing four together, and a power stacking four). It is stated that for four-dimensional SU(N)SU(N) every coupling flows to strong coupling and confines (Ito 1985 Cited (abstract)). This model lacks translation and rotation invariance, and its theorems are not part of the statement of the four-dimensional Yang–Mills problem. That the type of relaxation changes with the choice of coordinates to move was seen in 11-02 §02 (in tree coordinates the gap of the Gaussian approximation is exactly β\beta, independent of the number of steps; in link coordinates it gets smaller in inverse proportion to the square of the side).

Table 1 carries the parts of the Bauerschmidt–Bodineau induction over, row by row, to this model with values in the group SU(2)SU(2). "Applies" means the form holds as it is, "changes" means there is a corresponding form but its content is replaced, and "does not apply" means it does not hold; apart from the row of Lemma 1, these are estimates.

Table 1 Carrying the parts of the hierarchical induction over to SU(2)SU(2) (verdict labels: Proved here = from Lemma 1, Estimate = an estimate)
Part in the originalCarried over to the groupVerdict
The decomposition of the covariance C=∑CjC=\sum C_j and the addition of fields ϕ+ζ\phi+\zetaAddition is replaced by the group product, and the reference Gaussian by Haar. The role of "the covariance at scale jj" is played by the stiffness of the weight (the supremum of the Hessian of −ln⁡g-\ln g), and there is an inequality of the type in which the inverses of the stiffnesses roughly add under convolution (a paper record; no proof is placed in this book)Changes Estimate
(A1) uniform convexity at each pointRead as Bakry–Émery for the measure on the fibre, it does not hold at weak-coupling scales by Lemma 1Does not apply Proved here (Lemma 1) + the reading is Estimate
Convexity at large fields (the main issue of the original)On the group, large fields (the far hemisphere) are necessarily non-convex (§04). But the probability is e−cβe^{-c\beta}Changes (the wall becomes unavoidable, and goes to where the probability is small) Estimate
(A2)(A3) coupling and commuting of scalesIn tree (plaquette) coordinates, automatic from the hierarchical structure. In link coordinates the Dirichlet form is not diagonal in the hierarchy, and commuting is expected to breakTree: applies / link: expected not to apply Estimate
Lemma 2.7 (Brascamp–Lieb for the conditional measure from convexity)For typical coarse values, the minimal broken line on the fibre is unique and the gap is of order β\beta. When the coarse value is near −1-1, the geodesics from the identity to −1-1 form a family of two-dimensional spheres, and the gap in that direction is expected to drop to O(1)O(1). Long arcs are expected to be saddle points, not a second wellChanges (convexity cannot be used, but the loss is expected to be polynomial) Estimate
Lemma 2.8 (an identity that turns the derivative in the direction of the coarse field into a covariance by parallel translation of the fluctuation and integration by parts)Translating the last factor of each copy from the right moves the coarse holonomy by the same amount, and by the invariance of Haar an identity of the same type holds. The difference is that the score is bounded rather than linear in the fieldApplies (in form) Estimate
Lemma 2.9 (the Helffer–Sjöstrand representation and an operator lower bound on the Witten Laplacian)On a manifold, Ric⁡+Hess⁡V\operatorname{Ric}+\operatorname{Hess}V enters the Witten Laplacian on one-forms. What is needed is a lower bound at each point, and for the same reason as (A1) it does not hold at weak couplingDoes not apply Estimate
Multiscale Bakry–Émery (the Polchinski flow; the coefficient λ˙t\dot\lambda_t may be negative)The natural semigroup on the group is convolution with the heat kernel, Vt=−ln⁡(e−V∗Kt)V_t=-\ln(e^{-V}*K_t). The convolution step of Migdal–Kadanoff is its discrete version. What is needed is inf⁡Hess⁡Vt\inf\operatorname{Hess}V_t (from below), and a formulation on the group was not found within the range searchedChanges (not yet formulated) Estimate

In sum. The decomposition of the variance and identities of the type of Lemma 2.8 hold on the group too. What does not hold is the two places that use convexity at each point (Lemmas 2.7 and 2.9), and by Lemma 1 they do not hold at weak-coupling scales however the constants are arranged. The wall of "convexity at large fields" in the original does not vanish on the group but becomes unavoidable, while the probability on the wall drops to e−cβe^{-c\beta} Estimate.

The Polchinski flow on the group. Theorem 3.6 of the review by Bauerschmidt–Bodineau–Dagallier, along a flow CtC_t of Gaussian covariances, derives from the condition

C˙t Hess⁡Vt(ϕ) C˙t−12C¨t ≥ λ˙t C˙t(for all ϕ),1γ=∫0∞e−2λtdt(6)\dot C_t\,\operatorname{Hess}V_t(\phi)\,\dot C_t-\tfrac12\ddot C_t\ \ge\ \dot\lambda_t\,\dot C_t\quad(\text{for all }\phi),\qquad \frac1\gamma=\int_0^\infty e^{-2\lambda_t}dt \tag{6}

the log-Sobolev constant 2/γ2/\gamma Cited. λ˙t\dot\lambda_t may be negative, and non-convex time intervals are paid for as the swelling e−2λte^{-2\lambda_t}. A version for curved spaces (a form including the flow of the metric and Ric⁡\operatorname{Ric}, Theorem 3.20) is also stated, and the original writes that "we currently do not know interesting applications of this generalisation" Cited. It is a candidate home for group-valued fields Estimate. Written on the group, the natural semigroup for this flow is convolution with the heat kernel, Vt=−ln⁡(e−V∗Kt)V_t=-\ln(e^{-V}*K_t), and what is needed is an estimate of inf⁡Hess⁡Vt\inf\operatorname{Hess}V_t from below. The estimates of the Migdal–Kadanoff recursion so far (the recursion of the stiffness; the paper record that the number of steps until strong coupling is entered is at most β+4log⁡β+20\beta+4\log\beta+20 Assumption (no proof placed in this book)) are all estimates from above (sup⁡Hess⁡\sup\operatorname{Hess}), and the quantity that connects the two is the flow of inf⁡Hess⁡Vt\inf\operatorname{Hess}V_t. In weak-coupling time intervals inf⁡Hess⁡Vt≈−β\inf\operatorname{Hess}V_t\approx-\beta (the antipode), and how much e−2λte^{-2\lambda_t} swells has not been estimated Estimate. The first number is one step of the one-link weight (question F7, 11-08).

The 14\tfrac14 type does not come back for one link. e(β/2)tr⁡UdHaar=eβcos⁡θdHaare^{(\beta/2)\operatorname{tr}U}d\mathrm{Haar}=e^{\beta\cos\theta}d\mathrm{Haar} has a single well (θ=π\theta=\pi is the minimum of the density; there is no second local minimum), and the gap is expected to approach the Hessian β\beta at the identity for large β\beta, without getting exponentially worse Estimate (general semiclassical theory. The original on uniform log-Sobolev for Boltzmann measures with a field on spheres is known only bibliographically, and has not been checked). The wall of the 14\tfrac14 type at the summit of the double well (two wells) does not appear for one link. On the fibre, the degenerate family where the coarse value is near −1-1 is expected to produce a polynomial loss (Table 1).

What this section can say: the verdicts of Table 1, apart from the row of Lemma 1, are estimates. The results for hierarchical models have no implication for four-dimensional Yang–Mills under any verdict.

06

Tools that pay with rarity — currency, Lyapunov, field-dependent constants, the example of the action barrier

Currency. 10-10 Type 4 of Part 10 said that what the Poincaré inequality measures is the speed of exit, and that what can pay with rarity is the currency of entropy (10-10 Type 4). As a formula, when a set BB satisfies μ(B)≤e−s\mu(B)\le e^{-s},

s∫Bg2 dμ ≤ Ent⁡μ(g2)+ln⁡2∫g2 dμ(7)s\int_Bg^2\,d\mu\ \le\ \operatorname{Ent}_\mu(g^2)+\ln2\int g^2\,d\mu \tag{7}

Proved here ((3) of 10-09). The ratio of the variance to the Dirichlet form does not change when the function is multiplied by a constant, so if a function supported on a rare set is put in, the rarity cancels between numerator and denominator, and at the Poincaré step rarity has no effect. A step that pays with rarity needs to pass through an inequality of log-Sobolev (entropy) type. This is why the candidate tools on the group are not the Poincaré induction (Brascamp–Lieb at discrete scales) but the type that flows Bakry–Émery at each scale in log-Sobolev form ((6) of §05) Estimate.

The Holley–Stroock perturbation. If μ′=e−Uμ/Z\mu'=e^{-U}\mu/Z with UU bounded, the Poincaré constant (and the log-Sobolev constant) of μ′\mu' is at most eosc⁡Ue^{\operatorname{osc}U} times that of μ\mu Assumption (the standard form as remembered; the original has not been checked in this chapter). It is a tool that pays for the non-convex place with the "oscillation", and the cost is exponential in the oscillation, independent of rarity. Regarding the one-link Wilson weight as a perturbation of Haar, osc⁡U=2β\operatorname{osc}U=2\beta, and the loss is e2βe^{2\beta}. In Part 10, the plan (R15) to pay only for the summit band with this perturbation put the one-site oscillation osc⁡/ℏ=3.7/11/37\operatorname{osc}/\hbar=3.7/11/37 into the exponent, multiplied by the length along the chain, and came out 2000–4900 times outside the allowance (10-10 §03, Type 5) Reading.

Lyapunov conditions. For a generator LL, if there are W≥1W\ge1 and a good set GG with

LW ≤ −a W+b 1G(a>0, b≥0)(8)LW\ \le\ -a\,W+b\,\mathbf 1_G\qquad(a\gt0,\ b\ge0) \tag{8}

(a drift that returns from the bad set to the good set), and a local Poincaré inequality (constant CGC_G) holds on GG, then the global Poincaré constant is at most (1+bCG)/a(1+bC_G)/a Cited (of the type of Bakry–Barthe–Cattiaux–Guillin 2008. The statement was checked through a restatement in a secondary source, 10-14 §03. The positive control on the one-dimensional Gaussian is row 20 of 10-14 §04). Convexity is used only on the good set GG, and the bad set is paid for by "the speed of coming back". On the group it is natural to take the good set near the identity and the bad set on the far hemisphere, and the loss is expected to be polynomial Estimate. However, (8) is a Poincaré conclusion, not a form that uses rarity itself. To use rarity, a step that moves the type of (8) into log-Sobolev form (the currency of entropy) is needed Estimate.

Field-dependent constants. Bauerschmidt–Bodineau write in Remark 2.4 that ε\varepsilon in (A1) may be made to depend on the coarse field, ε=ε(ϕ)\varepsilon=\varepsilon(\phi) (but uniformly less than 1), and add that it is "hard to use" Cited. It is a direction that allows ε\varepsilon to be large at bad coarse fields, but as long as it must be uniformly less than 1, it does not get past the ceiling of Lemma 1. To get past it, the condition must be replaced by one in the form of an average weighted by the probability of bad fields Estimate.

An example where rarity paid — the margin of the action barrier. In the first step of Part 10, when the end of the core on the box side of Proposition H4 crossed the summit, a second minimum point appeared on the wall of conditioning, and the Poincaré constant of the core grew like eΔS/ℏe^{\Delta S/\hbar} (10-11 §06). This is the cost of the non-convex place inside the core. That cost is paid by the rarity D/(Cξ)2≤d e−2S0/ℏD/(C\xi)^2\le d\,e^{-2S_0/\hbar} carried by the local term of Proposition H4 (the rarity of creating a pair of kinks): under the row (ΔScore) CP≤c∗ℏ−peΔS∗/ℏC_P\le c_*\hbar^{-p}e^{\Delta S_*/\hbar} and the reading of ξ\xi, the local term vanishes like e−(2S0−ΔS∗−δ)/ℏe^{-(2S_0-\Delta S_*-\delta)/\hbar} Proved here ((12) of 10-11. Lean LatticeGauge.CoreActionGap.cloc_term_poly, cloc_term_vanishes, assumptions: (ΔScore), the reading of ξ\xi, ΔS∗<2S0\Delta S_*\lt2S_0). On the ℏ=0\hbar=0 reading, ΔS∗0≤1.4×10−2\Delta S^0_*\le1.4\times10^{-2}, its ratio to 2S0=4/32S_0=4/3 is at most 1.05×10−21.05\times10^{-2}, and the margin was about 95 times Reading (Lean LatticeGauge.CoreActionGap.measured_ratio, assumption: the measured upper bound ΔS0≤0.01401\Delta S^0\le0.01401; the conclusion is in the form of the ratio ≤1.06×10−2\le1.06\times10^{-2}). Rather than removing the non-convex place by convexity, it is paid by a stronger factor of rarity: this is a small real example of the type of this chapter. However, (ΔScore) itself is an assumption row, supported only by the ℏ=0\hbar=0 reading and the lower bound on ℏln⁡CP\hbar\ln C_P.

Table 2 How to pay for the non-convex place (what pays, and what it costs)
Way of payingWhat paysForm of the costFor one-link SU(2)SU(2)Label
Convexity (Bakry–Émery, Brascamp–Lieb)A lower bound on the curvature at every pointThe inverse of the lower boundUsable only for β<2\beta\lt2 (Proposition 3). Impossible in principle at weak coupling by Lemma 1Proved here
The Holley–Stroock perturbationThe oscillation of the potentialeosc⁡e^{\operatorname{osc}}e2βe^{2\beta}: an exponential lossAssumption (from memory)
Lyapunov condition (8)A drift returning from the bad set, and a local constant on the good set(1+bCG)/a(1+bC_G)/aIf the good set is taken near the identity, the loss is expected to be polynomialCited (type), Estimate (application to the group)
The currency of entropy (7)The rarity ss of the bad setWorks in the form 1/s1/ss≈βs\approx\beta ((5) of Proposition 3). At the confinement scale it becomes s=O(1)s=O(1) and runs outProved here (inequality), Estimate (running out)
Paying with a strong factor of rarity (the margin of the action barrier)A rarity e−2S0/ℏe^{-2S_0/\hbar} stronger than the cost eΔS∗/ℏe^{\Delta S_*/\hbar}The margin ΔS∗<2S0\Delta S_*\lt2S_0The example of the first step (0+1 dimensions). The counterpart on the group is undecidedProved here (algebra), Reading (margin), Assumption ((ΔScore))

What this section can say: (7) and the algebra of the action barrier have proofs; the Lyapunov condition is a type whose statement was checked in a secondary source; Holley–Stroock is the standard form from memory. Which of them works on the group, and with what loss, is an estimate.

07

If it were made into rules — the class of measures that pay with rarity

Let us try to rewrite what we have seen in this chapter in the form of rules. It is an attempt that follows the phrasing of the question "if new mathematics is to be made, what should be made the rules of the mathematics?", and the rules written here are candidates. Neither consistency nor the ability to restate existing results has been checked. None of them promises a prospect of closing the third step (the continuum limit and the OS axioms) Estimate. Other candidates (axiomatising scale, the algebra of loops, conserved quantities and sectors, an axiom of asymptotic freedom, rules for curvature) and a list of combinations are placed in 11-08 §02.

Candidate: the class of measures that pay with rarity

Objects. A pair of a probability measure μ=e−Vdvol/Z\mu=e^{-V}d\mathrm{vol}/Z on a compact Riemannian manifold MM (a product of groups) and a good set G⊂MG\subset M. The parameters (κBE,s,a,b)(\kappa_{\rm BE},s,a,b) define the class C(κBE,s,a,b)\mathcal C(\kappa_{\rm BE},s,a,b).

Candidate rules. (Q1) Locally convex on the good set: Ric⁡+Hess⁡V≥κBE>0\operatorname{Ric}+\operatorname{Hess}V\ge\kappa_{\rm BE}\gt0 on GG. (Q2) The bad set is rare: μ(M∖G)≤e−s\mu(M\setminus G)\le e^{-s}. (Q3) A drift returning from the bad set: the type (8), LW≤−aW+b1GLW\le-aW+b\mathbf 1_G. (Q4) Rarity is paid only through the entropy inequality (7) (the class is defined by quantities of log-Sobolev type, not Poincaré). (Q5) Closed under coarse-graining: convolution with the heat kernel on the group, Vt=−ln⁡(e−V∗Kt)V_t=-\ln(e^{-V}*K_t), maps the parameters as (κBE,s,a,b)↦(κBE′,s′,a′,b′)(\kappa_{\rm BE},s,a,b)\mapsto(\kappa'_{\rm BE},s',a',b') by an explicit recursion.

A constraint, not a rule. By Lemma 1, a class that places (Q1) on the whole of MM is empty for weights whose osc⁡V\operatorname{osc}V exceeds KD2/2KD^2/2 (π2\pi^2 for one-link SU(2)SU(2)). For the one-link Wilson weight it is empty for β>π2/2\beta\gt\pi^2/2. The bad set always exists.

(Q4) makes the currency type of Part 10 into a rule (10-10 Type 4: Poincaré is the speed of exit, rarity is the currency of entropy).

Candidate first theorems. (a) For one measure: if μ∈C\mu\in\mathcal C, the log-Sobolev constant is at most F(κBE,s,a,b)F(\kappa_{\rm BE},s,a,b), and FF is not exponential in ss. On flat space the type that combines a Lyapunov condition with a local inequality corresponds to this (§06), and the Holley–Stroock perturbation pays eosc⁡e^{\operatorname{osc}}. (b) Closure: applying one step of the heat kernel to the one-link Wilson weight of SU(2)SU(2) stays in the class, with s′≥s−O(1)s'\ge s-O(1). This is the first step of question F7 (11-08 §01). For class functions (functions of the single variable, the angle θ\theta from the identity), convolution with the heat kernel only multiplies the coefficients of the character expansion by exponentials of the Casimir values, so how the lower bound on the curvature on the good set and the weight of the bad set are carried over can be followed by one-variable paper calculation and small numerics Estimate.

Parts that already exist. On flat fields, the weight (regulator) G~(X,ϕ)\tilde G(X,\phi) of the appendix of the book by Bauerschmidt–Brydges–Slade has four properties — (i) it factorises over disjoint sets, (ii) G~(X,ϕ+ϕ′)≤G~2(X,ϕ) G~2(X,ϕ′)\tilde G(X,\phi+\phi')\le\tilde G^2(X,\phi)\,\tilde G^2(X,\phi'), (iii) E+G~t(X)≤2∣B(X)∣\mathbb E_+\tilde G^t(X)\le2^{|B(X)|}, (iv) G~t≤G~+\tilde G^t\le\tilde G_+ — and from them the one-step estimate ∥E+θK(X)∥G~+≤2∣B(X)∣∥K(X)∥G~\|\mathbb E_+\theta K(X)\|_{\tilde G_+}\le2^{|B(X)|}\|K(X)\|_{\tilde G} follows (Lemma A.6.1) Cited. It is a real example of writing the rarity of large fields as a weighted norm and closing it under the expectation of one step of coarse-graining. What is needed on the group is the group version of this "closing in one step", and the place where property (ii) uses addition of fields is replaced by the group product u1u2u_1u_2. The multiscale Bakry–Émery of Bauerschmidt–Bodineau–Dagallier ((6) of §05, λ˙t\dot\lambda_t may be negative) and its version for curved spaces (Theorem 3.20) are also candidate parts Cited. The entropy stability lemma (a form that takes an upper bound on the covariance as its condition instead of the pointwise Hessian, Lemma 3.21) uses a linear tilt e(h,ζ)e^{(h,\zeta)}, so it does not carry over directly to the group Estimate.

Combining with one step of coarse-graining — the coupling window. Combining this class with axiomatising scale (a semigroup of coarse-grainings and a flow on it), one can write a form in which the coarse-graining kernel maps the class at each step, Cj=C(κj,sj,aj,bj)\mathcal C_j=\mathcal C(\kappa_j,s_j,a_j,b_j), as Cj→Cj+1\mathcal C_j\to\mathcal C_{j+1}. A candidate first theorem is "in a finite box, on the ultraviolet side, as long as the effective coupling βj\beta_j is at least β∗\beta_*, the class closes in the form sj+1≥sj−cs_{j+1}\ge s_j-c, κj+1≥κj(1−c/βj)\kappa_{j+1}\ge\kappa_j(1-c/\beta_j)" Estimate. Where it has closed, the effective measure has a uniform log-Sobolev inequality, and from there it can be handed over to the tools of the strong-coupling side (the type that pays with the Ricci curvature of the group; the result of Shen–Zhu–Zhu giving log-Sobolev and the mass gap at small β\beta Cited (abstract)). But the rate of rarity sjs_j is proportional to the effective coupling (s≈βs\approx\beta by (5) of Proposition 3), and it runs out at the confinement scale when βj=O(1)\beta_j=O(1). The currency of curvature works only in a narrow range. Between the two, a coupling window remains where neither currency is enough. This window is a restatement in the language of rules of the second difficulty of the third step — that there is no expansion connecting the ultraviolet and the infrared — and is not a new obstacle (11-07 §06, 11-07 Table 3) Estimate.

In the hierarchical gauge model (§05), the number of steps before the static flow enters strong coupling is finite, and the three — the ultraviolet side, the window and the strong-coupling side — come together within one model. If the candidate rules are to be tried first, it is on this model. However, the static flow there is a one-variable recursion with no many-body remainder, so crossing the window is easy because of the structure of the model, and the results imply nothing for four-dimensional Yang–Mills Estimate.

Relation to the roots Estimate. Of the three roots of the third step (11-07 §05), the one this class addresses head-on is the third (there is no global gauge fixing, and large fields cannot be controlled by convexity). This is because it places an alternative class where Lemma 1 says "on the group the convexity class is empty". It addresses the first (uniformity in the number of steps) only when combined with axiomatising scale, and the key is whether the recursion of (Q5) gives constants uniform in the number of steps. It does not address the second (connecting the ultraviolet and the infrared) — the coupling window above is the shape of that failure.

What this section can say: the rules are candidates, and the candidate theorems are candidates. The existing parts (the four properties of the weight and Lemma A.6.1, multiscale Bakry–Émery) hold only within the conditions of their originals (flat fields, hierarchical, flows of Gaussian covariances).

08

The road of stochastic quantisation — subcriticality, and the direction of rebuilding where the objects live

Stochastic quantisation is the road that makes the Yang–Mills measure as the long-time limit of a Langevin dynamics (a stochastic partial differential equation) that has it as its invariant measure (6-09). The dynamics is of the same kind as the Langevin dynamics measured by this book's CPC_P, but the aim is the construction of the measure, and the speed of relaxation (H) is not asked about.

The key condition of the solution theory of regularity structures is subcriticality, and it holds only when d<4d\lt4 (§1.2 of Chevyrev's review Cited). In two dimensions, a Polish state space on the space of gauge orbits and a Markov process have been made, and the Yang–Mills measure has been shown to be its invariant measure (Chandra–Chevyrev–Hairer–Shen, Chevyrev–Shen Cited (abstract)). In three dimensions, it has reached a new state space, the space of one-forms smoothed by the heat flow, local-in-time solutions and gauge-covariant renormalisation; the three-dimensional Yang–Mills measure is not yet constructed even on the periodic box T3\mathbb T^3 (§1 and §4 of Chevyrev's review Cited).

This road goes not in the direction of extending the lattice renormalisation group, but in the direction of rebuilding where the objects live (the state space) and the means of construction (stochastic dynamics) (11-07 §05) Estimate. However, the condition of subcriticality shows that this new tool too becomes exactly critical in four dimensions. It is one manifestation of the coupling being dimensionless ((c) of 11-07 §01). This road gives tools neither for the four-dimensional H nor for the local H.

What this section can say: the condition of subcriticality and the three-dimensional non-construction are statements in the text of the review; the individual two- and three-dimensional results are copies from abstracts. This book does not use regularity structures as a tool.

09

What cannot be said

(a) Hierarchical models. The results for hierarchical models imply nothing for four-dimensional Yang–Mills (they lack translation and rotation invariance). The verdicts of Table 1 are also estimates within the hierarchical model.

(b) The Polchinski flow on the group. No source formulating the flow by convolution with the heat kernel up to the multiscale Bakry–Émery condition was found within the range searched (this is not "there is none").

(c) The fibre. That the gap in the direction of the degenerate family near coarse value −1-1 drops to O(1)O(1), and that long arcs are saddle points, are estimates (by analogy from the Morse index of continuous geodesics).

(d) Dynamics. Statements on the gap or log-Sobolev for Glauber dynamics or Langevin dynamics of hierarchical gauge models were not found within the range searched.

(e) The kind of the original. The induction of Bauerschmidt–Bodineau 2019 is a result of Poincaré type (a spectral gap), not a log-Sobolev result. The form that flows log-Sobolev is later work by the same authors and a theorem of the review.

(f) Candidate rules. The class of §07 is a candidate, and none of consistency, restating existing results, or the candidate theorems has been checked. "The coupling window is a restatement of the second root" is an estimate, and the width of the window has not been measured in any model.

(g) The example of the action barrier. The margin of 95 times is a ℏ=0\hbar=0 reading in 0+1 dimensions, and the row (ΔScore) is an assumption row. We say nothing about whether renormalisation on the group has a margin of the same form.

(h) Stochastic quantisation. That four dimensions is critical is not a proof that tools cannot be made in four dimensions. It only copies the statement of the conditions of the original.

10

Table of the five grades and the dependency graph

Table 3 The rows of this chapter ("—" marks rows without machine checking)
RowStatement (one line)GradeGroundsScopeMachine checking
[01]Bakry–Émery (1)CitedTheorem 3.6 of the reviewLower bound on the curvature at each point—
[02](A1) of the hierarchical induction, Theorem 2.1 and Corollary 2.2 (2)Cited§02Scalar, hierarchical—
[03]The one-site diagonal at the summit 154\tfrac{15}{4} and the sum of couplings 44Proved here(11) of 10-090+1, ε=12\varepsilon=\tfrac12—
[04]Lemma 1: osc⁡V≤KD2/2\operatorname{osc}V\le KD^2/2 (3)Proved hereProof in §03Compact manifold without boundary— (the one-dimensional version is a candidate)
[05]Corollary 2: if convex on SU(2)SU(2) then μ≤eπ2Haar\mu\le e^{\pi^2}\mathrm{Haar} (4)Proved hereProof in §03Unit S3S^3—
[06]Proposition 3: for one link (2+βcos⁡θ)g(2+\beta\cos\theta)g, β<2\beta\lt2, (5)Proved hereProof in §03β≥2\beta\ge2 ((5))—
[07]At a maximum point of a closed manifold Hess⁡V≤0\operatorname{Hess}V\le0Proved here§04——
[08]The raw rate of wrapping on the strip matches the Kramers slope to 1–3%Reading11-02 §05Two-dimensional U(1)U(1), β=3..6\beta=3..6, post hoc—
[09]The 0+1 one-site ratio ωb/m\omega_b/mProved here(7) of 11-03, 11-04 §070+1LatticeGauge.LocalHDoubleWell.one_slice_ratio (assumption: 0<ε,m,ω0\lt\varepsilon,m,\omega)
[10]Read as Bakry–Émery on the fibre, (A1) on the group does not hold at weak couplingEstimate§02, §05Weak-coupling scales—
[11]The verdicts of Table 1EstimateTable 1Hierarchical model—
[12]Multiscale Bakry–Émery (6), the version for curved spacesCitedTheorems 3.6 and 3.20 of the reviewFlows of Gaussian covariances—
[13]The number of steps until the hierarchical model enters strong coupling ≤β+4log⁡β+20\le\beta+4\log\beta+20AssumptionPaper record (no proof in the book)Migdal–Kadanoff, SU(2)SU(2)—
[14]A wall of the 14\tfrac14 type does not come back for one linkEstimate§05One link—
[15]The currency inequality (7)Proved here(3) of 10-09——
[16]The cost eosc⁡e^{\operatorname{osc}} of the Holley–Stroock perturbationAssumptionStandard form from memory——
[17](1+bCG)/a(1+bC_G)/a from the Lyapunov condition (8)CitedSecondary source (10-14 §03)—Positive control gauss1d_bbcg (no assumptions, 10-14)
[18]Field-dependent ε(ϕ)\varepsilon(\phi) (uniformly less than 1)CitedRemark 2.4 of the original——
[19]Row (ΔScore)Assumption10-11 §060+1, the core on the box side—
[20]ΔS∗0≤1.4×10−2\Delta S^0_*\le1.4\times10^{-2}, a margin of about 95 timesReading10-11 §06The ℏ=0\hbar=0 readingLatticeGauge.CoreActionGap.measured_ratio (assumption: the measured upper bound)
[21]The local term vanishes like e−(2S0−ΔS∗−δ)/ℏe^{-(2S_0-\Delta S_*-\delta)/\hbar}Proved here(12) of 10-11ℏ→0\hbar\to0LatticeGauge.CoreActionGap.cloc_term_poly, cloc_term_vanishes (assumptions: (ΔScore), the reading of ξ\xi, ΔS∗<2S0\Delta S_*\lt2S_0)
[22]Tools on the group must push with probabilityEstimate§04——
[23]The four properties of the weight and Lemma A.6.1CitedAppendix of BBSFlat fields—
[24]The class of measures that pay with rarity (candidate)Estimate§07Candidate—
[25]Log-Sobolev and the mass gap at strong couplingCitedShen–Zhu–Zhu (abstract)Small β\beta—
[26]The coupling window is a restatement of the second rootEstimate§07, 11-07 §06——
[27]The solution theory is subcritical for d<4d\lt4; the three-dimensional measure is also not yet constructedCitedChevyrev's review——
[28]The road of stochastic quantisation gives no tools for the four-dimensional HEstimate§08——

What the machine-checking column guarantees is only real algebra and arithmetic; that ΔS\Delta S is the action barrier of the core, and that CPC_P is the Poincaré constant of the path measure, are outside Lean (10-13). Lemma 1, Corollary 2 and Proposition 3 have no machine checking.

Dependency graph (the numbers of premises are smaller than the number of the conclusion):

[01] CIT BE     Bakry–Émery: lower bound on curvature ⇒ log-Sobolev, Poincaré
[02] CIT BB     (A1), Theorem 2.1, Corollary 2.2 of the hierarchical induction   scalar, hierarchical
[03] PRV TOP    one-site diagonal at the summit 15/4 and sum of couplings 4     0+1 (10-09)
[04] PRV L1     Lemma 1: osc V ≤ KD²/2                                         closed manifold
[05] PRV C2     Corollary 2: if convex on SU(2), μ ≤ e^(π²) Haar ⟸ [04]
[06] PRV P3     Proposition 3: one-link curvature (2 + β cos θ), probability (5)
[07] PRV MAX    Hess ≤ 0 at a maximum point of a closed manifold
[08] RDG KR     raw rate on the strip matches the Kramers slope to 1–3%        two-dim. U(1), post hoc
[09] PRV ONE    0+1 one-site ratio ω_b/m                                       Lean one_slice_ratio
[10] EST A1G    (A1) on the group does not hold at weak coupling ⟸ [02][04]
[11] EST TAB    verdicts of Table 1 ⟸ [10]
[12] CIT BBD    multiscale Bakry–Émery, version for curved spaces
[13] ASM MK     number of steps until strong coupling (paper record)
[14] EST NOQ    the 1/4 type does not come back for one link ⟸ [06]
[15] PRV CUR    currency inequality (7)                                        (3) of 10-09
[16] ASM HS     Holley–Stroock cost e^osc                                      from memory
[17] CIT LY     Lyapunov condition (8)                                         secondary source
[18] CIT EPS    field-dependent ε (uniformly less than 1)
[19] ASM DSC    row (ΔScore)                                                   0+1
[20] RDG DSV    ΔS⁰ ≤ 1.4·10⁻², margin about 95 times                          ħ = 0 reading
[21] PRV CLOC   the local term vanishes (12) ⟸ [19]                            Lean cloc_term_poly
[22] EST PROB   tools on the group push with probability ⟸ [05][06][07][15]
[23] CIT BBS    four properties of the weight, Lemma A.6.1                     flat fields
[24] EST CLASS  class of measures that pay with rarity (candidate) ⟸ [04][15][17][23]
[25] CIT SZZ    log-Sobolev and gap at strong coupling                         abstract
[26] EST WIN    the coupling window restates the second root ⟸ [06][24][25]
[27] CIT SPDE   subcriticality d < 4, three dims also not yet constructed
[28] EST NOSQ   stochastic quantisation gives no tools for the 4D H ⟸ [27]

The way to check is to see by eye that on every "⟸" the numbers on the right are smaller than the number on the left. There are no circles. The nodes with proofs placed are [04]–[07], all statements about one measure on one manifold. The nodes on the conclusion side of this chapter, [22], [24], [26], [28], are all Estimate, and there is neither a node for the mass gap nor a node for Assumption H. [21] (an example where rarity paid) is algebra on top of the assumption row [19], and does not enter the premises of [22] onwards. This is because the 0+1-dimensional example is an example of the type, not grounds for a statement on the group.


What this chapter can say

What is saidWhat is not said
Proved here The convexity ceiling on closed manifolds (Lemma 1); a convex measure on SU(2)SU(2) does not exceed eπ2e^{\pi^2} times Haar (Corollary 2); the curvature of the one-link Wilson weight, and the upper bound on the probability of the non-convex set (Proposition 3)The convexity and gap of the conditional measure on the fibre (a product of many links). The value of the gap in the direction of the degenerate family
Cited Bakry–Émery; the hypotheses and conclusions of the hierarchical induction; multiscale Bakry–Émery; the four properties of the weight and Lemma A.6.1; the subcriticality of stochastic quantisationA formulation of the Polchinski flow on the group. The gap of the dynamics of hierarchical gauge models
Proved here+Reading The margin of the action barrier in Part 10 is an example where the non-convex place was paid with rarity (on the assumption (ΔScore) and the ℏ=0\hbar=0 reading)(ΔScore) itself. That the same margin exists on the group
Estimate That tools on the group must push with probability; the verdicts of Table 1; the class of measures that pay with rarity (candidate); that the coupling window is a restatement of the second rootNone of these is a theorem. The implication of hierarchical-model results for four dimensions. The consistency of the candidate rules

Sources and reproduction

ItemKindSource / tools
The hierarchical induction ((A1), Theorem 2.1, Corollary 2.2, Remark 2.4, Lemmas 2.7–2.9, the self-assessing sentence)CitedR. Bauerschmidt, T. Bodineau, arXiv:1809.02075 (Commun. Math. Phys. 373 (2020) 1167). §1–§2 checked in the text
(1), (6), the version for curved spaces, entropy stabilityCitedR. Bauerschmidt, T. Bodineau, B. Dagallier, arXiv:2307.07619 (review). Theorems 3.6 and 3.20 and Lemma 3.21 checked in the text
The four properties of the weight, Lemma A.6.1CitedR. Bauerschmidt, D. C. Brydges, G. Slade, Introduction to a Renormalisation Group Method, Lecture Notes in Math. 2242 (2019), arXiv:1907.05474. Appendix A.6 checked in the text
Hierarchical gauge modelsCitedK. R. Ito, Commun. Math. Phys. 95 (1984) 247 (text). K. R. Ito, Phys. Rev. Lett. 55 (1985) 558 (abstract)
Lyapunov condition (8)CitedD. Bakry, F. Barthe, P. Cattiaux, A. Guillin, Electron. Commun. Probab. 13 (2008) 60 (bibliographic data from memory. The statement was checked through a restatement in a secondary source, 10-14 §03)
The Holley–Stroock perturbationAssumptionR. Holley, D. Stroock, J. Stat. Phys. 46 (1987) 1159 (both bibliographic data and statement from memory)
Log-Sobolev and the mass gap at strong couplingCitedH. Shen, R. Zhu, X. Zhu, arXiv:2204.12737 (abstract). The numbers for the range are not written, since they depend on the normalisation convention
Stochastic quantisationCitedI. Chevyrev, Stochastic quantisation of Yang–Mills, arXiv:2202.13359 (§1, §1.2, §4 in the text). A. Chandra, I. Chevyrev, M. Hairer, H. Shen, arXiv:2006.04987, arXiv:2201.03487 (abstract). I. Chevyrev, H. Shen, arXiv:2302.12160 (abstract)
Lemma 1, Corollary 2, Proposition 3Proved hereProofs in §03 of the text. The only numbers are the values of 54π25e−3/2\frac{54\pi}{25}e^{-3/2} and eπ2e^{\pi^2}
The examples from Part 10 (the summit, currency, the Holley–Stroock plan, the action barrier)This book10-09 §06, 10-10 §04, 10-11 §06
LeanLeanLatticeGauge.LocalHDoubleWell (one_slice_ratio), LatticeGauge.CoreActionGap (cloc_term_poly, cloc_term_vanishes, measured_ratio). The bundles guarantee only algebra and arithmetic

Terms used in this chapter — the convexity ceiling, the lower bound on the Bakry–Émery curvature κBE\kappa_{\rm BE}, Brascamp–Lieb, fibre, the reversal of convex and non-convex places, the rate of rarity ss, currency (entropy), the Holley–Stroock perturbation, Lyapunov conditions, field-dependent constants, the Polchinski flow on the group, the class of measures that pay with rarity, the coupling window, subcriticality. Their meanings are in A-02 Glossary and 11-A1.

Next chapter to read: 11-07 Because it is four dimensions — what works in four dimensions, limited to two points: the dimensionless coupling and topology.

← 11-05 Making time continuous — the Hamiltonian lattice and the vacuum measureContents11-07 Because it is four dimensions — the dimensionless coupling and topology →

Revised 2026-10-09: first version.