Renormalization That ClicksEpisode 4 / Forgetting where you came from ── universality and the renormalization group

The critical point of water and the critical point of an iron magnet. Nothing in common microscopically ── and the numbers that come out agree exactly

Forgetting where you came from Repeat coarse-graining and a theory flows toward a fixed destination.
Its microscopic memory is thrown away along the way, which is why water and a magnet produce the same number.
This is the heart of the series ── the renormalization group.

Tools you'll need: Episode 1's coarse-graining (block averaging), exponents, a feel for orders of magnitude The heart of this episode: repeating coarse-graining = making theories flow

Heat and pressurise water and at 374 °C and 218 atmospheres you arrive at a strange place called the critical point. The distinction between liquid and gas disappears, droplets of every conceivable size boil up at once, and clear water turns milky (critical opalescence). Separately, heat an iron magnet and its magnetism vanishes at 770 °C. That is a critical point too. One is about how molecules are packed, the other about the direction of electron spins ── microscopically unrelated. Yet measure the numbers that describe behaviour near the critical point (the critical exponents) and ── they agree to three decimal places. This is no coincidence. Repeat coarse-graining and the two theories flow to the same destination, discarding along the way the information about what they originally were.

01An agreement that shouldn't happen

SystemWhat it is microscopicallyCritical exponent βν
Water (liquid–gas critical point)density of H₂O molecules≈ 0.326≈ 0.630
A uniaxial ferromagnetdirection of electron spins≈ 0.326≈ 0.630
Phase separation in a binary liquidthe mixing ratio of two molecular species≈ 0.326≈ 0.630
A ±1 arrow model on a lattice (3D Ising model)nothing at all ── a model invented on paper≈ 0.326≈ 0.630

The last row is the punchline. A made-up toy model that does not exist anywhere gets the measured value for real water right ── with no molecular shapes, no details of the forces, not even quantum mechanics in it. This family is called the 3D Ising universality class.

If coarse-graining merely dropped information this could not happen. Merely dropping would blur the difference and cost accuracy. What actually happens is the opposite: coarse-grain and the difference disappears and the answers agree. It's exactly what happened in Episode 1 when A and B became indistinguishable.

02Block spins ── "repeating" the coarse-graining

Kadanoff's idea goes like this. You have ±1 arrows on a lattice. Group them into 2×2 blocks and replace each block by one arrow, by majority vote. The lattice is now half as fine and there are a quarter as many arrows. Same operation as Episode 1's block averaging.

Here is the new bit. What you end up with is a model of the same form ── ±1 arrows on a lattice. What has changed is the strength of the coupling between arrows. In other words, coarse-graining is a map from model to model. So you can do it again, and again.

The heart of this episode ── coarse-graining moves theories
$$\text{model}(K)\ \xrightarrow{\ \text{coarse-grain by 2}\ }\ \text{model}(K')\ \xrightarrow{\ \ }\ \text{model}(K'')\ \xrightarrow{\ \ }\cdots$$

The coupling \(K\) moves with each coarse-graining. The mathematics of following that motion is the renormalization group. "Group" sounds forbidding but it just means the obvious composition rule: coarse-graining twice equals coarse-graining once by a factor of four. Physical theories flow along an axis called resolution ── the theme of this series, and the punchline of Episode 7.

03Fixed points, and the directions that get forgotten

Wherever there is a flow there are points where the flow stops (fixed points) ── models that map to themselves under coarse-graining, i.e. that look the same at every magnification.

And around a fixed point, deviations split into two kinds. This is the key to everything.

DirectionWhat coarse-graining does to itWhat it means physically
relevantthe deviation grows and carries you away from the fixed pointvery few of them. Temperature, magnetic field ── the knobs you turn in the lab
irrelevantthe deviation shrinks and disappearsoverwhelmingly many. Molecular shape, force details, lattice type ── microscopic origin

And there is the reveal. Every difference between water and a magnet lives in the irrelevant directions. So repeated coarse-graining shrinks those differences to nothing and both are drawn to the same fixed point. Since critical exponents depend only on how fast the flow expands around the fixed point, they do not depend on origin at all. The number 0.326 is not water's number and not iron's number ── it is the fixed point's number.

In field-theory language ── they die as (E/Λ)ⁿ

Particle physics says the same thing this way. Effects from the details at a high energy \(\Lambda\) (microscopic) are suppressed at low energy \(E\) (macroscopic) by $$\left(\frac{E}{\Lambda}\right)^{n}\qquad (n>0).$$ For atomic physics (\(E\sim\) eV) against the Planck scale (\(\Lambda\sim10^{28}\) eV) the ratio is \(10^{-28}\). That is why you can do chemistry without knowing quantum gravity. The rigorous statement is the decoupling theorem (Appelquist–Carazzone, 1975): heavy particles decouple from low-energy physics.

This is what the mille-feuille really is In Episode 1 we said the world is a mille-feuille of independently closed layers. Here is why ── the details of the floor above sit in irrelevant directions and get discarded on the way down. A chemist can ignore quarks not out of laziness but because quark information never reaches chemistry in principle. Layers close not as an empirical rule but as a consequence of the renormalization group. Conversely, low-energy experiments have a hard time seeing the floor above ── the same theorem explains why particle physics needs enormous accelerators to find new physics.

04Try it ── at the critical point it looks the same at every magnification

The figure below runs ±1 arrows on a lattice (the Ising model) toward thermal equilibrium live in your browser. Leftmost is the raw configuration (64×64). To the right are successive 2×2 majority-vote coarse-grainings (32²→16²→8²) ── literally the renormalization group flow.

Try the temperature slider in three regimes.

Figure: a 2D Ising model run by Monte Carlo on the spot. Leftmost is the raw configuration; to the right, 2×2 majority-vote coarse-graining (one panel = one RG step). Low temperature flows to one colour, high temperature to static. At the critical temperature every panel looks the same (scale invariance = a fixed point)
arrow +1 arrow −1

The pattern being scale-invariant at the critical point means there is no characteristic size there. Ordinary matter has landmark scales ── molecular size, the reach of correlations ── but at the critical point the correlation length diverges to infinity and the landmarks vanish. With no landmark length, microscopic lengths lose their meaning ── and so origin is forgotten. That vanishing of a characteristic length is what universality really is.

05Why this is the heart of the series

Episode 1 said "throw it away, same answer"; Episode 3 said "bigger discards faster." Episode 4 goes further ── discarding is what determines the answer.

The exponent 0.326 is not a property of water or of iron but a property of the discarding operation itself. That is why a made-up model gets it right. A physical quantity belonging to an operation rather than to a substance ── a startling thing, and indeed Wilson received the 1982 Nobel Prize in Physics for this understanding.

In one breath

You can coarse-grain (Ep. 1) → you can repeat it (it's a map) → the flow has fixed pointsonly the fixed point's properties surviveand therefore the world can be described without knowing its microscopics.
Those five lines are very nearly the whole reason the enterprise of physics is possible.

◇ ◇ ◇
The honest line ── what is established

Established: universality in critical phenomena (that the liquid–gas critical point, uniaxial ferromagnets, phase separation in binary fluids and the 3D Ising model share critical exponents); the values (\(\beta\approx0.326\), \(\nu\approx0.630\); nowadays determined to high precision by the conformal bootstrap); Kadanoff's block-spin picture; Wilson's renormalization group with fixed points and the relevant/irrelevant classification (1982 Nobel Prize in Physics); and \((E/\Lambda)^n\) suppression in effective field theory together with the decoupling theorem (Appelquist–Carazzone 1975) ── all established physics.

Caveats: (1) The figure is the two-dimensional Ising model (\(T_c=2/\ln(1+\sqrt2)\approx2.269\), \(\beta=1/8\)), shown because it can be seen. The numbers in the table are the three-dimensional values; these are different universality classes and the numbers do not match. (2) The lattice is finite (64×64) and the run time is finite, so critical behaviour is only approximately reproduced (finite-size effects). (3) Universality classes are set by spatial dimension, the symmetry of the order parameter, the range of the interaction and so on ── it is not that "everything comes out the same"; different classes have different exponents. (4) Irrelevant operators do reappear as corrections once you move away from the critical point (correction-to-scaling exponents). "Origin vanishes completely" holds only sufficiently near the fixed point.

Exercises (solvable with this episode's ideas)
  1. Why do water and a magnet share critical exponents? One sentence.
    See the answer
    Because their difference lies in the irrelevant directions of the renormalization group flow, shrinks away under repeated coarse-graining, and both land on the same fixed point ── and critical exponents depend only on the properties of the flow around that fixed point.
  2. State "a chemist need not know about quarks" in renormalization-group language.
    See the answer
    The quark scale (GeV) and the chemical scale (eV) are nine orders apart, and high-energy detail is suppressed by \((E/\Lambda)^n\) so it never reaches low energy (the decoupling theorem). Chemistry can therefore have laws closed within its own floor.
  3. Why does it "look the same at every magnification" at the critical point? What has disappeared?
    See the answer
    Because the correlation length diverges and the characteristic length disappears. With no landmark length there is no yardstick for comparison across magnifications, so the statistics look the same (scale invariance). That is what "being at a fixed point" looks like.
  4. Why is coarse-graining not "an operation that merely drops information"?
    See the answer
    Merely dropping would blur the answer and cost accuracy; in fact the more you coarse-grain the more the answers of different systems agree (universality). Coarse-graining sorts out which information affects the answer, and what gets dropped was never in the answer.

Episode 4 summaryDiscarding is what determines the answer

The critical point of water, an iron magnet, a binary liquid, and a toy model on paper ── four things with nothing microscopically in common ── all produce the same critical exponents \(\beta\approx0.326,\ \nu\approx0.630\). The reason is that coarse-graining is a map from model to model, and repeating it makes theories flow to a fixed point. Around the fixed point, deviations split into relevant (grow and survive; very few) and irrelevant (shrink and vanish; overwhelmingly many) ── and all microscopic origin sits on the irrelevant side. So it is forgotten.

The pattern looks scale-invariant at the critical point because the correlation length diverges and the characteristic length disappears. With no landmark length, microscopic lengths lose meaning ── that is universality. In particle-physics language it becomes \((E/\Lambda)^n\) suppression and the decoupling theorem, turning "a chemist need not know about quarks" into a theorem. A physical quantity belonging to the operation of coarse-graining rather than to a substance ── that is the heart of this series.

This document is Episode 4 of the "Renormalization That Clicks" series, a reading piece for physics-loving high-schoolers and undergraduates. Universality in critical phenomena (that the liquid–gas critical point, uniaxial ferromagnets, binary fluids and the 3D Ising model belong to one universality class sharing \(\beta\approx0.326\), \(\nu\approx0.630\)); Kadanoff's block-spin transformation; Wilson's renormalization group with fixed points and the relevant/irrelevant classification (1982 Nobel Prize in Physics); the divergence of the correlation length and scale invariance at criticality; \((E/\Lambda)^n\) suppression in effective field theory; and the Appelquist–Carazzone decoupling theorem (1975) ── all of this is established physics. That the figure is a finite-lattice Monte Carlo of the 2D Ising model (critical temperature \(2/\ln(1+\sqrt2)\approx2.269\)), shown for visualisation and belonging to a different universality class from the 3D numbers in the table; that finite-size effects are present; that universality classes are set by dimension, symmetry and interaction range rather than "everything agreeing"; and that irrelevant operators reappear as corrections away from the fixed point, is spelled out in the body's "honest line." ── To print, use your browser's "Print" and "Save as PDF" (in the print version the slider and answers are frozen and hidden). Adjacent episodes: Episode 3, Bigger means more classical / Episode 5, When coarse-graining breaks / Contents.

Print / make a PDF: ⌘+P (Ctrl+P on Windows). On screen the temperature slider changes the configuration, and each panel to the right is a further coarse-graining. The thing to look for is that at the critical point (2.269) every panel looks the same. "See the answer" opens each solution.