The whole book Contents and reading orders
- Part 0 Entrance — how to read this book
- 0-01 How to read this book
- 0-02 One picture
- 0-03 Reading the problem statement word by word
- 0-04 Four dimensions in mathematics and four dimensions in physics
- Part 1 Mathematical preparation
- 1-01 Vector spaces and linear maps
- 1-02 What a group is
- 1-03 Lie groups and Lie algebras
- 1-04 SU(2) and SU(3)
- 1-05 Manifolds and tangent spaces
- 1-06 Differential forms and the exterior derivative
- 1-07 Vector bundles and connections
- 1-08 Probability and measure
- 1-09 Probability in infinite dimensions
- 1-10 Hilbert spaces and self-adjoint operators
- 1-11 Fourier analysis and distributions
- 1-12 Detour: what happens only in four dimensions
- Part 2 Physical preparation
- 2-01 Lagrangians and the action
- 2-02 The idea of a field
- 2-03 Electromagnetism is a gauge theory
- 2-04 Special relativity and spacetime
- 2-05 The bones of quantum mechanics
- 2-06 The harmonic oscillator and creation and annihilation
- 2-07 The idea of the path integral
- 2-08 Statistical mechanics and phase transitions
- 2-09 Detour: the gap and the correlation length in the Ising model
- 2-10 The relaxation time and the dynamical exponent z
- Part 3 Yang–Mills theory (classical)
- 3-01 The gauge principle
- 3-02 Non-abelian gauge fields
- 3-03 The action and the equations
- 3-04 Gauge theory as geometry
- 3-05 Instantons and topology
- 3-06 Detour: Donaldson and exotic R⁴
- 3-07 Yang–Mills inside the Standard Model
- Part 4 Quantisation
- 4-01 Canonical quantisation and the Hamiltonian
- 4-02 The path integral and Euclideanisation
- 4-03 Perturbation theory and Feynman diagrams
- 4-04 Divergences and renormalisation
- 4-05 The algebra of divergences
- 4-06 Asymptotic freedom
- 4-07 Dimensional transmutation and Λ
- 4-08 Gauge fixing and Faddeev–Popov
- 4-09 The axioms of quantum field theory
- 4-10 The Osterwalder–Schrader axioms and reconstruction
- 4-11 The definition of the mass gap
- 4-12 Detour: the perturbation series diverges
- Part 5 Lattice gauge theory
- 5-01 Wilson's lattice
- 5-02 The strong-coupling expansion
- 5-03 Reflection positivity and the transfer matrix
- 5-04 The infinite-volume limit and the cluster expansion
- 5-05 Weak coupling and the continuum limit
- 5-06 How U(1) differs from the non-abelian case
- 5-07 The Monte Carlo method
- 5-08 Measuring glueballs and the string tension
- 5-09 What to hold fixed when taking the limit
- 5-10 Lattice gauge theory with finite groups
- 5-11 Detour: Bakry–Émery and one-link integration
- Part 6 Constructive field theory
- 6-01 What constructive field theory is
- 6-02 Solvability in two dimensions and the Yang–Mills measure
- 6-03 Constructing scalar fields
- 6-04 The cluster expansion
- 6-05 The sequence of renormalisation group steps
- 6-06 Ultraviolet stability of three-dimensional Yang–Mills
- 6-07 Four dimensions
- 6-08 Triviality of φ⁴ in four dimensions
- 6-09 Stochastic quantisation and regularity structures
- 6-10 Where four dimensions stops
- 6-11 Obstacles other than divergence
- 6-12 Detour: "if 1/0 is given a symbol"
- Part 7 From the side of physics
- 7-01 How physics sees it
- 7-02 Mechanisms of confinement
- 7-03 The string picture
- 7-04 Large N
- 7-05 String theory and extra dimensions
- 7-06 How extra dimensions become invisible
- 7-07 Where gauge fields come from
- 7-08 Holography
- 7-09 The mass gap becomes geometry
- 7-10 Back to four dimensions
- 7-11 Supersymmetry and Seiberg–Witten
- 7-12 The sentence that plays the role of an equivalence principle
- 7-13 Where the way physics digs parts from mathematics
- Part 8 A dictionary of two languages — the physical and the mathematical view
- 8-01 How to read the dictionary
- 8-02 Dictionary A
- 8-03 Dictionary B
- 8-04 Dictionary C
- 8-05 The physical counterparts of our assumptions
- Part 9 Where things stand, and open tasks
- 9-01 How far the world has come
- 9-02 Where the two ways of digging part
- 9-03 Candidates for new concepts
- 9-04 The list of open tasks
- 9-05 Common misconceptions
- Part 10 Towards a proof of the mass gap — building the first step of the staircase
- 10-00 Entrance — the staircase, and the random walk, the ruler and the clock
- 10-01 The line of construction and Assumption H
- 10-02 Roads tried on the four-dimensional lattice, and walls
- 10-03 The four steps of the staircase — why we start from 0+1 dimensions
- 10-04 The path measure of the double well, and kinks
- 10-05 The statement of the first step — four conditions and Proposition 4.5
- 10-06 (H1) Local Poincaré within a phase
- 10-07 The map of (H2) — seven routes and the seam of the ring
- 10-08 What computer-assisted means — the conditions on the chain inside the window
- 10-09 The sector framework and the three strands of route 5
- 10-10 The list of detour plans — types of breakage
- 10-11 (H3)(H4) and the constant of the core
- 10-12 The integrated table and the dependency graph
- 10-13 Lean statements and the limits of machine checking
- 10-14 Reconciliation — the numbers of the record and the known numbers
- 10-15 What remains and its cost — the distance to a theorem
- 10-16 What is not claimed
- 10-17 Insights and small questions
- Part 11 Further considerations — beyond Assumption H, and other views
- 11-00 Further considerations — entrance
- 11-01 One form that obstructs H — a nearly conserved global quantity
- 11-02 Choosing the ruler and the coordinates again — the length at which conservation breaks
- 11-03 Two ways to repair H — the sector H and the local H
- 11-04 Which H the one-sided bridge needs
- 11-05 Making time continuous — the Hamiltonian lattice and the vacuum measure
- 11-06 Paying with rarity instead of convexity — renormalisation on groups and log-Sobolev
- 11-07 Because it is four dimensions — the dimensionless coupling and topology
- 11-08 Questions, and what is not claimed
- 11-A1 Table of notation for Part 11
- Appendices
- A-01 Table of notation
- A-02 Glossary
- A-03 Guide to the literature
- A-04 Lean and machine checking
- A-05 How this book was made
- A-06 Index of assumptions
The algebra of divergences — nested subtraction becomes a decomposition in a group, yet still does not leave formal power series
What this chapter shows — Three prescriptions for subtracting nested divergences (BPHZ, Epstein–Glaser, dimensional regularisation). That subtraction becomes a Birkhoff decomposition of a group in the Hopf algebra of Connes–Kreimer (computed in a small model). Costello's families of effective actions, and where all this falls short of the mass gap.
Prerequisite chapters — 4-04 Divergences and renormalisation. Helpful: 1-11 (distributions), 4-03 (Feynman diagrams).
Said first — This is a guide to known results at the level of formal power series, and shows nothing about the existence of Yang–Mills theory or the mass gap. The small model is for seeing the algebraic structure, not a four-dimensional calculation.
- Nested divergences — seen in a small model: subtracting only the whole leaves the outer scale
- The forest formula — BPHZ: subtract from the inside, and count the sets to subtract by forests
- Extension in position space — Epstein–Glaser: the freedom is δ and its derivatives
- Moving the dimension continuously — dimensional regularisation: divergences become poles 1/ε. The MS scheme
- The algebra of diagrams — the Hopf algebra of Connes–Kreimer: the coproduct writes the extraction
- Birkhoff decomposition — subtraction becomes a decomposition in a group: counterterms are one factor. Detour: rooted trees and Runge–Kutta methods
- Families of effective actions — Costello: a family of actions, one for each scale
- Where the algebra reaches and where it does not: the measure and exp(−1/g²) lie outside
Nested divergences — seen in a small model
In 4-04 we removed one-loop divergences by subtracting the value at a reference scale . What was subtracted was a number independent of the external momenta (a counterterm). From two loops on, a part of a diagram (a subdiagram) diverges on its own (a subdivergence). Two subdivergences are either nested, one containing the other, overlapping, sharing a part without either containing the other, or disjoint.
We use a small model with nesting only (Kreimer's toy model; the definition in §3.2 of Panzer 2012). "One loop" is , where is the outer scale and the loop variable. Like the four-dimensional bubble it diverges logarithmically, so we regularise by multiplying by ( is a small positive number, corresponding to the of §04), and build nesting by putting the inner value into the outer integrand.
Writing the part with negative powers of (the pole part) as , with and ,
Computed The pole of the double loop contains . Subtracting only the pole of the whole, the subtracted quantity contains and is not a local term that can be added to the action. Example: at , , , and its pole part is .
The forest formula — BPHZ
The cure is to subtract from the inside. In Bogoliubov's prescription, one first adds the term in which the subdivergence is replaced by its counterterm , and then subtracts the whole.
Computed disappears, and the overall counterterm does not depend on the outer scale (: Bogoliubov's map). For general diagrams the sum is over forests — sets of divergent subdiagrams any two of which are nested or disjoint (including the empty set and the whole diagram). Zimmermann's forest formula is
where is the operation extracting the divergent part of (in momentum space, the low orders of the Taylor expansion in the external momenta), and the product acts from the inside (a form with details omitted). Example: the forests of are , and (5) is the expansion . The part corresponds to the of (4), and the remaining to adding the overall counterterm , leaving a value without poles (the of §05). It is called BPHZ after the initials of Bogoliubov–Parasiuk (1957), Hepp (1966) and Zimmermann (1969), and the gaps in the first proof are said to have been filled by the work of the latter two (§1 of Ebrahimi-Fard–Kreimer 2005). The forest formula with overlaps also follows from the Hopf algebra of rooted trees (§05) (abstract of Kreimer 1999). Known
Extension in position space — Epstein–Glaser
This section uses the distributions of 1-11 §04 and §08. We give only the essentials. A test function is a function that can be differentiated any number of times and goes to 0 quickly far away, and a distribution is a rule assigning linearly a number to each test function. , and its derivative is defined by . A sequence of distributions "converges as distributions" if converges for every test function .
In position space, a divergence is the impossibility of extending a distribution to a singular point. We take examples in Euclidean . The square of the four-dimensional massless propagator (the bubble diagram) behaves as near the origin, and its integral diverges logarithmically. The method of Epstein–Glaser (1973) was set up in Minkowski space (spacetime with time); it builds time-ordered products (whose expectations are the correlation functions) inductively in the number of vertices (§4 of Brunetti–Fredenhagen 2000), and extends values fixed off the diagonal, where points coincide, onto the diagonal. Renormalisation is exactly the extension of expectations to the diagonal (abstract of the same paper). Since it is formulated as extension, there is no need to write divergent integrals along the way. The extension problem itself has the same form in Euclidean , as below. The freedom is measured by the scaling degree ((33) of the same paper; numbering of the arXiv version; convergence as distributions).
For on (Theorems 5.2 and 5.3 of the same paper) Known: if , the extension preserving the scaling degree is unique. If , extensions exist, and the difference of two extensions is supported at the origin, of the form
corresponds to the superficial degree of divergence of 4-04, and the constants are the freedom of local counterterms. Example: for (, ), the extension that subtracts only inside the ball of radius ,
agrees with for , and converges because the numerator is . The difference on changing is ( is the area of ), a constant multiple of .
Example: for , ( is Euler's constant). At , for it is −51.148, −5.697, 39.754, and the difference from is in each case. Removing without extending gives 85.21, 357.91 at (), growing. Computed
Moving the dimension continuously — dimensional regularisation
We regard momentum integrals as functions of the dimension . The bubble of 4-04 (mass ) converges for , giving
( at ). The right-hand side extends meromorphically to complex (as a function complex-differentiable except at isolated points called poles), and has a pole at . Using this is dimensional regularisation. Here we write (half the of the of 4-04). Then
and the divergence becomes the pole . At , () is 12.2535, 101.9814, 1001.9565, and the differences from the approximation (10) are 0.2997, 0.0276, 0.0027. The role of in the cut at in momentum is played by . Computed The MS scheme subtracts only , and the scheme subtracts . Since a scale is introduced (the coupling is multiplied by ), remains at . The of 4-06 is the of this scheme.
In 1972 there were papers by Bollini–Giambiagi and by 't Hooft–Veltman (titled "Regularization and renormalization of gauge fields"), and it is said to be used as standard in Yang–Mills perturbation theory as a regularisation that does not break gauge symmetry. The price is that (9) is an analytic continuation diagram by diagram, and gives no measure for non-integer . The problem statement too writes that there are few ways to recover the reflection positivity lost by dimensional regularisation and the like (p.11; quoted in 0-03 §03; 4-10).
The algebra of diagrams — the Hopf algebra of Connes–Kreimer
Subtraction is the repetition of "extracting a subdiagram " and "the remainder with collapsed to a point". Before making this an operation, we prepare three words.
- One-particle irreducible: a diagram that does not split in two when any one internal line is cut.
- (tensor product): is a symbol that formally sets a pair of diagrams side by side. It is linear in each of left and right (bilinear), and does not multiply left and right. When values are put in later, it is multiplied as .
- Hopf algebra: an algebra with a product, a coproduct (a map splitting one element into a sum of pairs ), and auxiliary maps called the counit and the antipode. This chapter uses only the coproduct.
Making subtraction an operation is the Hopf algebra of Kreimer (1998) and Connes–Kreimer (1998, 2000): the generators are divergent one-particle irreducible diagrams, the product is setting diagrams side by side, and extraction is the coproduct ((15) of Ebrahimi-Fard–Kreimer 2005). The sum in (11) is over divergent one-particle irreducible proper subdiagrams and their disjoint sets (set side by side as a product). For a set, is the remainder with all of them collapsed to points. Writing the coproduct as is a convention of the literature, unrelated to the of the mass gap.
With nesting only, rooted trees suffice in place of diagrams. Vertices are divergent subdiagrams, and children are inner subdivergences. The sum in (11) becomes a sum over admissible cuts (choices of edges that cut every path from the root to a leaf at most once), with the cut-off side going on the left and the root side on the right (Figure 1).
is the tree with two children at the root. Regularised values (maps taking values in Laurent series in and carrying products to products; characters) form a group under the convolution ( is the product of values). The unit is the character that gives 1 to the empty diagram and 0 to other diagrams. Since there are inverses, the problem can be posed as multiplying by a factor that cancels its divergences to make finite. The counterterm plays the role of the inverse of (§06). Fixing a scheme (for MS the pole part, for MOM the value at ), the counterterm and the renormalised value are fixed in order of tree size ((21)(25)(26) of Ebrahimi-Fard–Kreimer 2005).
In the toy model, writing the subtree rooted at vertex as and the number of vertices as , the values take closed form (Proposition 3.2.2 of Panzer 2012).
Computing (13) for the 8 trees with up to 4 vertices, (i) none of the counterterms contains (locality), (ii) the renormalised values are polynomials of degree in with top-degree term ( is the tree factorial), and (iii) the MOM values agreed with Panzer's (3.4.2)–(3.4.5). The difference between MS and MOM is finite. Computed
ComputedTable 1 Renormalisation in the toy model (computed exactly in rationals). The right-hand column is the value of . Subtracting by MS changes the constants ( becomes , becomes ).
| Tree | Pole part of the bare value | Counterterm (MS) | (MOM) | |
|---|---|---|---|---|
| 1 | ||||
| 2 | ||||
| 3 | ||||
| 6 |
Birkhoff decomposition — subtraction becomes a decomposition in a group
The main theorem of Connes–Kreimer (2000) (abstract) is that the dimensionally regularised bare theory gives a loop in the group of characters on a small circle around the integer spacetime dimension , and 'the renormalized theory is just the evaluation at z = D of the holomorphic part γ₊ of the Birkhoff decomposition of γ'. is the integer dimension of spacetime, is the loop given by the regularised theory (the family of characters as the dimension moves on the circle), and is the holomorphic factor of its decomposition. Known Below we write as the deviation from (the same role as the of the toy model, with the integer dimension).
is a polynomial in (constant term the unit) and is the MS counterterm; is holomorphic at , and is the renormalised value. As an analogy, it is the multiplicative version of splitting a Laurent series into its pole part and its holomorphic part. Precisely, since the group is not commutative, they are fixed in order of tree size by the induction of (13). That and are again characters is because satisfies and the Rota–Baxter identity
((20) of Ebrahimi-Fard–Kreimer 2005). Known Example: for the pole part and , , both sides are .
Figure 2 is the MOM of the ladder ( vertices in a row). The sum in (13) becomes ; as the bare value runs away at the rate , while the subtracted value settles to a polynomial. Computed
ComputedThe numbers in this figure were computed on this machine. The closed forms of (13)(14) are evaluated in the figure and checked against python3.
If JavaScript is disabled: at , the subtracted values at are, for : −0.991, −0.998 (limit −1); : 0.394, 0.473 (0.5); : −1.696, −1.776 (−1.812); : 0.655, 1.419 (1.687). The bare values at are 49, 1205, 19802, 245195. The difference from the limit shrinks roughly in proportion to . Computed
Detour: rooted trees and Runge–Kutta methods
A subsection you may skip.
Expanding the solution of in , reading the derivative of order as "a vertex with children", becomes .
The coefficient of is for , and for the reciprocal of the product of 2, from exchanging left and right, and ; this is the same tree factorial as in Table 1. Runge–Kutta methods are built to reproduce these coefficients up to a given order, and the group handling the expansion is called Butcher's group (Butcher 1972). Brouder (2000), in his abstract, points out the connection between the algebra of rooted trees in renormalisation and Runge–Kutta methods. Known
Families of effective actions — Costello
Another route is to regard the family of actions, one for each scale, as the theory (Wilson's renormalisation group; 6-05). Costello (a 2007 paper, a 2011 book) restricts the (the square of a length) of the propagator from to .
Precisely, the paper is written with the heat kernel on a compact manifold, which on flat space becomes . Example: at , , is 0.990, 0.368, at . Computed Actions at different scales are linked by the renormalisation group equation ( is the sum of diagrams joining vertices of by ).
Theorem B of the paper is that, once a scheme is fixed (a choice of which functions of to call the singular part), there is a unique counterterm such that exists, and the counterterms are local and independent of . The counterterms are power series in (the letter counting loops). The effective action at scale is the limit as after subtracting these counterterms,
and building diagrams with as it is diverges. The effective action too is a formal power series in (§08). Theorem C is that, once a scheme is fixed, local actions correspond one-to-one to families of effective actions satisfying (19) and locality as . Changing the scheme amounts to putting different coordinates on the same family. Known
Gauge symmetry is expressed by the quantum master equation of the Batalin–Vilkovisky (BV) formalism (here only the name; it gathers the condition of keeping gauge symmetry into one equation with auxiliary fields added). The 2007 paper distinguishes renormalisation (constructing counterterms) from quantisation (constructing solutions of the quantum master equation), and gives pure Yang–Mills on compact four-dimensional manifolds as an example of the former, and Chern–Simons theory as a non-trivial example of the latter. The 2011 book is described as containing a proof of the perturbative renormalisability of Yang–Mills by cohomology (an algebraic tool that looks at for maps with ; here only the name). Renormalisability itself is said to have been established by 't Hooft (1971), 't Hooft–Veltman (1972), Lee–Zinn-Justin (1972), Becchi–Rouet–Stora (1976) and others (6-12 §06). Known
Where the algebra reaches and where it does not
All the tools so far work on formal power series in the coupling constant, make each order finite, and confine the freedom to finitely many local terms. Known Three things lie out of reach. (i) The sum of the series: the perturbation series of four-dimensional Yang–Mills is thought to diverge (4-12). Physics (ii) Quantities that are 0 at every order: the one-loop scale (4-07; for pure , ; conversion between four ways of writing the coefficient in Table 1 of 4-06)
(with , the same formula as (3) of 4-07) has all its Taylor coefficients in equal to 0. The mass gap is expected to be proportional to Physics, and such quantities cannot be distinguished from 0 within formal power series (6-12 §07). (iii) The measure and positivity: what the problem statement asks for is not a sequence of coefficients but a theory satisfying the axioms (0-03), whose correlation functions should agree at short distances with asymptotic freedom and the predictions of perturbative renormalisation theory (p.6; quoted in 0-03 §07). The algebra of this chapter is on the side of the answers that a construction must reproduce.
An example of the same algebra being used inside a tool outside formal power series is the renormalisation of Hairer's regularity structures. Regularity structures are a framework for solving the equations of stochastic quantisation (6-09; here only the name; a method that solves a time-evolution equation shaken by noise and tries to obtain the measure as its distribution after a long time), and their renormalisation is written with a pair of Hopf algebras and a variant of the Birkhoff decomposition (abstract of Bruned–Hairer–Zambotti 2019). Regularity structures have been used to construct local-in-time solutions (solutions only for a short time) of the stochastic quantisation equation of three-dimensional Yang–Mills–Higgs (abstract of Chandra–Chevyrev–Hairer–Shen 2024). Known What they can handle is subcritical equations (the non-linear term weakens at shorter scales), and four-dimensional Yang–Mills is critical (the strength of the non-linear term does not depend on scale), so it lies outside.
What this chapter can say
| Content | |
|---|---|
| What is said | The five formulations and the theorems quoted (classification of extensions, the main theorem on Birkhoff decomposition, Costello's Theorems B and C) Known. In the toy model: that subtracting only the whole leaves poles containing and that Bogoliubov's prescription removes them; that for 8 trees the counterterms are local and the values are polynomials in . That the difference of extensions of is a constant multiple of . The pole of the bubble Computed |
| Conditional | The toy model has nesting only, and locality is checked within it (in general it rests on the theorems in the literature). The divergence of the perturbation series and are expectations Physics |
| What is not said | Multi-loop calculations in four-dimensional Yang–Mills. The sum of the series. The non-perturbative measure, reflection positivity, the mass gap. The content of the proofs in literature cited by bibliographic data only |
Sources and reproduction
| Item | Kind | Source / tools |
|---|---|---|
| Read in full text | Known | Jaffe–Witten, Quantum Yang–Mills Theory (the Clay problem statement) p.6, p.11. Panzer, arXiv:1202.3552 (2012) §3.2–3.4. Ebrahimi-Fard–Kreimer, J. Phys. A 38 (2005) R385 §1–2. Brunetti–Fredenhagen, arXiv:math-ph/9903028 (Commun. Math. Phys. 208 (2000) 623), abstract, §4, §5.1–5.2 (numbering of formulas and theorems from the arXiv version). Costello, arXiv:0706.1533 (2007) §1 |
| Read in abstract only | Known | Kreimer, Adv. Theor. Math. Phys. 2 (1998) 303. Connes–Kreimer, Commun. Math. Phys. 199 (1998) 203; 210 (2000) 249. Kreimer, Commun. Math. Phys. 204 (1999) 669. Brouder, Eur. Phys. J. C 12 (2000) 521. Bruned–Hairer–Zambotti, Invent. Math. 215 (2019) 1039. Chandra–Chevyrev–Hairer–Shen, Invent. Math. 237 (2024) 541 (arXiv:2201.03487) |
| Bibliographic data only | Known | Bogoliubov–Parasiuk, Acta Math. 97 (1957) 227. Hepp, Commun. Math. Phys. 2 (1966) 301. Zimmermann, ibid. 15 (1969) 208. Epstein–Glaser, Ann. Inst. H. Poincaré A 19 (1973) 211. Bollini–Giambiagi, Nuovo Cim. B 12 (1972) 20. 't Hooft–Veltman, Nucl. Phys. B 44 (1972) 189 (standard use in gauge theories not checked). 't Hooft, ibid. 33 (1971) 173. Lee–Zinn-Justin, Phys. Rev. D 5 (1972) 3121. Becchi–Rouet–Stora, Ann. Phys. 98 (1976) 287. Costello, Renormalization and Effective Field Theory, AMS (2011) (from the publisher's description). Butcher, Math. Comp. 26 (1972) 79 |
| (3)(4), Table 1 | Computed | python3 (Laurent series in z computed exactly with the standard library's rationals; 8 trees, MS and MOM) |
| Figure 2, the numbers in §03, §04, §06 and §07 | Computed | python3 (SciPy numerical integration and the Γ function, closed formulas). The JavaScript of Figure 2 was checked against the python3 values with node |
Next chapter to read: 4-06 Asymptotic freedom. Detours: 6-12, 4-12.
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