Where the angle comes from

The disturbance that travels

If a lattice survives three times the displacement when the organs share it, then a disturbance passed between the organs that actually touch should be the gentlest of all — it is correlated at exactly the offsets the rule places against. It is the harshest. Half the displacement destroys what independent noise leaves standing, and the reason separates two things that had been one.

Worth reading first: A disturbance with a memory · Noise is not a slow rate · Errors that pass between organs.

The previous essay ended with a rule of thumb and this one breaks it.

The rule of thumb: a lattice survives three times as much displacement when the organs share it, because the placement rule works on differences and a shared displacement has none. It moves the whole neighbourhood without changing its shape, the minimum moves with it, and the divergence a botanist records is nearly what it would have been.

The obvious extension is that the most survivable disturbance of all would be one correlated at the contact offsets — the organs m and n places back, which are the geometric neighbours the rule is really placing against. Everything else in the neighbourhood matters less; correlate the disturbance where it counts and the rule should barely notice.

That is the arrangement breadth-03 built to forge a comb, and driven through the rule it is the most destructive disturbance in the table.

What a lattice survives depends on the colour of the disturbance, sixfoldfive stems for each of seven disturbances at each of six displacements, every stream normalised by its own measured spread so that a displacement of half a degree is half a degree in every row. A filled mark is a stem that still has a lattice — a divergence scatter under 2° — and an open one is a stem that does not. Independent errors survive to 0.5°; errors that remember the last one to 1.5°; errors inherited from the contact neighbours only to 0.25°. The number beside each row is the scatter a protractor would record where the lattice is standing, and it is the quantity that explains the table: what destroys a lattice is not how far an organ moves, but how far it moves relative to the organs it is placed against.displacement per organ0.25°0.5°1.5°independent0.57–1.03°a memory, ρ = 0.50.38–0.68°a memory, ρ = 0.90.28–0.98°a memory, ρ = 0.970.26–1.31°repeating every 80.63–0.93°inherited, a = 0.50.97–0.97°inherited, a = 0.71.15–1.94°scattera latticeno lattice left5 stems a cell · rise 0.005generated from a stated rule, not drawn to look right
Fig. 1 The table again, with the two rows to compare at the top and the bottom. Independent errors survive half a degree of displacement per organ on all five stems; errors inherited from the contact neighbours survive a quarter of a degree and none at half.

The measurement

At a quarter of a degree of displacement per organ, every stem of every colour keeps its lattice. What differs is the scatter it records: 0.26° for a long memory, 0.57° for independent errors, and 0.97° for a contact-transported disturbance of the same size.

At half a degree, independent errors leave all five stems standing at 1.03° of recorded scatter. A contact transport at a coupling of 0.5 leaves none. At a coupling of 0.7 it leaves one of five, at a scatter of 1.94°, which is over the boundary the pattern fails at.

So the transported disturbance is not merely no better than white noise. It is worse by a factor of two in amplitude, and by a factor of nearly two in the scatter it produces at equal amplitude.

A lattice with an error inherited from the two contact neighboursThe autocorrelation of 759 divergence angles from a kinematic lattice at a divergence of 137.8261° and a rise of 0.005, with 0.5° of scatter on each azimuth. There is no placement rule anywhere in it: node i is put at exactly i times the divergence and then displaced. The only thing that differs between this figure and the control is the structure of the displacement — here, an error inherited from the two contact neighbours at coupling 0.5. The largest comb mean is 0.166 against a sampling band of 0.073, and the readout returns 8/13.-0.50000.500125810131621242629lag, in internodescorrelation between a divergence and the one that many internodes later816245132129reads 8/13 · no rule in itmain 0.166 · band 0.073the shaded strip is the sampling bandkinematic lattice · 759 anglesgenerated from a stated rule, not drawn to look right
Fig. 2 The disturbance in question, on the kinematic lattice the previous phase built it for. Each organ’s error is inherited from the organs eight and thirteen places back — its contact neighbours — at a coupling of a half.

Why the rule of thumb was too simple

The correlations tell the story, and they have to be read at the right lags.

A memory with a coefficient of 0.97 correlates at 0.96 at lag one, 0.83 at lag five, 0.74 at lag eight and 0.63 at lag thirteen. It correlates everywhere nearby. Every organ in the rule’s neighbourhood is displaced by nearly the same amount, and the neighbourhood’s shape survives.

A contact transport at a coupling of 0.5 correlates at −0.04 at lag one, 0.17 at lag five, 0.42 at lag eight and 0.41 at lag thirteen. It correlates at two lags and nowhere else. Organs one through seven places back are as independent as white noise, and organs eight and thirteen move together.

So the two disturbances are not both “correlated”. One is a common mode across the whole neighbourhood; the other is a structure inside it.

And a structure inside the neighbourhood is exactly what the rule responds to. It sums the repulsion from some eighty-five organs and takes the minimum, and what decides where that minimum is, is the arrangement of those organs rather than their common position. A displacement that moves them all shifts the answer and changes nothing else. A displacement that moves two of them together and leaves the rest alone changes the arrangement — and it changes it coherently, which is worse than changing it randomly.

It is worth putting the same point in the language the kernel phase used, because it measured the quantity this argument needs.

That phase asked what the repulsion exponent controls, and the answer was contrast: the ratio between the variation the nearest shell of neighbours contributes to the profile and the variation the next shell contributes. It runs from 1.1 at an exponent of a half to 296 at an exponent of three, and a lattice forms reliably once it passes about twenty. A lattice exists exactly when the rule is placing organs with respect to their immediate neighbours rather than with respect to a broad shallow landscape assembled from dozens of them.

At the site’s inverse cube the contrast is high, which is what makes the pattern a lattice — and it is also what makes it vulnerable in the specific way this essay reports. A rule that listens mostly to two organs is a rule that can be misled by displacing two organs together.

Two shapes, two ranges, one contrastThe exponential's lattice ends at 3.63 spacings and the gaussian's at 2.25 — ranges 47% apart — and at those two ranges the contrast is 5.74 and 6.09, 6% apart. The band is what the exponent route leaves: 3.98 at p = 1, where the uncut rule makes nothing, and 7.63 at p = 1.25, where it makes a lattice.204012345range at which the interaction has halved, in local spacingsnear-shell contrast — the first shell's variation over the second'swhat the exponent sweep leavesexponential ends here — 5.74gaussian ends here — 6.09p = 1 · shells 0–2 and 2–4 spacingscontrasts 6% apart, ranges 47%
Fig. 3 The quantity from the phase that found it: how much more the nearest neighbours contribute than the next ones. A high contrast is what makes a lattice, and it is what makes a coherently displaced pair so effective at moving the answer.

Why it is worse than random, not just as bad

The last step is the one worth being careful about, because it is where the essay could stop at “correlated in the wrong place” and miss the size of the effect.

Two of the eighty-five organs dominate the minimum. The 13-hop is 0.069 circumferences and the 8-hop 0.075, against 0.090 for the next one and 0.383 for the organ one place back — which is the longest hop of all, and the reason a memory’s correlation at lag one buys so little. With an inverse-cube repulsion, the two contact neighbours contribute most of the variation the argmin is working with.

Displace those two independently and their contributions partly cancel: one pushes the minimum one way and the other pushes it back, and the expected displacement of the answer goes as the square root of two errors.

Displace them together — which is precisely what a contact transport does — and they push the same way. The answer moves by the sum rather than by the difference, and the two dominant terms have become one term twice the size.

Which offsets give short hops, at a rise of 0.005The two lowest points are at 8 and 13, and those are the parastichy numbers. Offset 1 is high because a hop of one node is at least the rise, which is what makes a stem easier to count than a disc.0123102030index offsetmedian hop between node i and node i+m23300 nodes, 34 offsets triedshortest at 2 and 3
Fig. 4 The hops that make the argument quantitative. Two offsets are much closer than everything else and one — the organ immediately before, at lag one — is the furthest away of all. A disturbance’s effect depends entirely on which of these it correlates.
A stem gathers neighbours linearly; a growing disc barely gathers them at allOn a cylinder of circumference 1 with a rise of 0.005, the nodes within distance d number 2d/0.005 once d exceeds one turn — a fitted exponent of 1.011 and 400 per unit against the 400 the geometry fixes. In the disc model an element of age k sits at radius e^(0.4k), so each doubling of the distance adds the same two or three neighbours rather than twice as many.01234-0.50000.50011.50distance from the node, log₁₀neighbours, log₁₀a stemslope 1a disca logarithmrise 0.005 · 24000 nodes · meristem growth 0.4slope 1.011 against slope 1
Fig. 5 How much each neighbour contributes to the profile the rule minimises. The two contact organs carry most of the variation, which is why a disturbance correlated at exactly those two offsets is the one that moves the answer most.

So the quantity that decides a disturbance’s effect is not how correlated it is. It is how the correlation is distributed over the neighbourhood, weighted by how much each member contributes to the minimum:

a disturbance is harmless in proportion to how much of it is common to the whole neighbourhood, and harmful in proportion to how much of it is shared by the organs that dominate the minimum and not by the rest.

A memory is nearly all common mode. A contact transport is nearly all the other thing. Independent noise is in between, which is why it sits in between.

The arithmetic is worth carrying a step further, because it predicts the factor rather than describing it.

If the two dominant neighbours each contribute a displacement of size d to the answer, then independent displacements give an expected shift of d√2 and perfectly correlated ones give 2d — a factor of √2 between them. Measured, the contact transport at a coupling of 0.5 produces a recorded scatter of 0.97° against white noise’s 0.57° at the same displacement, a factor of 1.7.

That is more than √2 and less than 2, which is about where the arithmetic should land: the transport’s correlation between the two dominant organs is 0.42 rather than 1, so it should be short of the coherent limit; and the rule’s own response adds to the recorded scatter, as the previous essay measured, so the observed factor should exceed the input one. Two corrections in opposite directions, neither computed, bracketing the measurement.

The honest form of the claim is therefore: the direction is derived, the order of magnitude is derived, and the factor of 1.7 is measured.

The accumulation, which is a second and smaller effect

There is a second reason the transported disturbance is harsh, and it is worth separating so that the first is not credited with all of it.

The transport recursion has each error inherit a fraction of two earlier ones and add a fresh draw. At a coupling of 0.7 that process does not settle to unit variance: its deviates have a standard deviation of 1.84, and the variance grows along the stem before the correlations saturate it. The previous phase found the same thing from the other side — at a coupling of 0.8 the forged lattice’s recorded scatter reaches 102° and there is no lattice left in it at all.

Every amplitude in this essay’s table is normalised by that measured standard deviation, so the comparison is at equal displacement and the accumulation is divided out. What cannot be divided out is its shape: the disturbance still drifts slowly along the stem in a way a memory does not.

The evidence that this is the smaller effect is the coupling of 0.5, whose stream has a standard deviation of 1.04 and almost no accumulation, and which is still harsher than white noise. The structure is doing the work; the drift adds to it.

Three disturbances, three places to get inThe rule reads its neighbours, builds a profile of the energy at every azimuth, takes the least of it, and records a position. field noise enters at the profile; jostle noise enters at the neighbours; placement noise enters at the record. Two of the three are upstream of the choice and can change which minimum is taken; the third is downstream and never can.upstream of the choicethe neighboursalready placedthe profileenergy by azimuththe choicethe least of itthe recordwhat a ruler readsfield noisejostle noiseplacement noiseone rule, three entry pointsthe order is the argument
Fig. 6 Where a disturbance enters, from the phase that separated the three. This thread adds a second axis to that one — what shape the disturbance has — and the two are independent: any of the three entry points can carry any of the shapes.

The control, which separates the two accounts

The account above says the damage is done by correlation at the offsets that dominate the minimum. The rival account is that correlation as such is what costs, regardless of where it sits. They differ on a measurement that costs one option on machinery this phase already has.

Correlate the disturbance at seven and eleven places back instead of eight and thirteen. At this rise those are ordinary members of the neighbourhood: the 7-hop is 0.15 circumferences and the 11-hop 0.17, against 0.069 and 0.075 for the contacts. Same coupling, same construction, same absence of common mode, same correlation magnitude — the leverage is the only thing that changes.

disturbance at 0.25° scatter at 0.5° scatter
independent errors 5 of 5 0.57° 5 of 5 1.03°
inherited at 7 and 11 5 of 5 0.49° 5 of 5 0.83°
inherited at 8 and 13 5 of 5 0.97° 0 of 5

The off-contact transport is not merely as harmless as white noise. It is quieter than white noise, on both rows, and it keeps its lattice at a displacement where the contact transport has lost every stem.

That is the prediction confirmed and the rival refused. Correlation as such does not cost; correlation between the two organs the argmin is listening to costs a factor of two.

The reason the off-contact version comes out quieter than independent noise is the same argument run at the other end: correlating any two members of the neighbourhood removes some of the independent variation the answer would otherwise have had, and if those two are not the dominant ones, all it does is remove noise.

A stem gathers neighbours linearly; a growing disc barely gathers them at allOn a cylinder of circumference 1 with a rise of 0.005, the nodes within distance d number 2d/0.005 once d exceeds one turn — a fitted exponent of 1.011 and 400 per unit against the 400 the geometry fixes. In the disc model an element of age k sits at radius e^(0.4k), so each doubling of the distance adds the same two or three neighbours rather than twice as many.01234-0.50000.50011.50distance from the node, log₁₀neighbours, log₁₀a stemslope 1a disca logarithmrise 0.005 · 24000 nodes · meristem growth 0.4slope 1.011 against slope 1
Fig. 7 Which neighbours the answer is actually made of. Correlating a disturbance between two of the organs on the left of this figure costs a factor of two; correlating it between two on the right is worth a small improvement.

It is worth saying that this control is not a hypothesis about a plant. Nothing transmits a displacement between organs that are not touching, and a seven-and-eleven transport is not a model of anything. It exists to locate the mechanism, which is the only use a physically impossible arrangement has and a good one.

What it means for a plant

The physically obvious disturbance on an apex is the transported one. Organs touch; a displacement in one is felt by the ones against it; and the ones against it are the contact neighbours, which is what a parastichy pair is. That was the whole force of the previous phase’s retraction and it has not weakened.

This essay says that such a disturbance is the expensive kind. A plant whose errors are passed between touching organs loses its lattice at half the displacement a plant with independent errors would, and records nearly twice the scatter on the way there.

Two consequences, and the second is the one that would show.

A plant with contact-transported errors has to be quieter to hold a pattern. Which is a statement about how much displacement an apex can afford, and it runs the opposite way from the intuition that a mechanically coupled tissue is more robust.

And a plant near its tolerance would fail differently. Independent errors degrade a lattice gradually — the scatter rises and the pattern persists until it does not. A contact-transported disturbance at the same recorded scatter is closer to its own boundary, so the same plant would be nearer to losing the pattern than its scatter suggests. Since recorded scatter is the only thing a protractor gets, this is a systematic error in the direction of optimism.

Three kinds of noise, matched at 0.75° of divergence scatterThe amplitudes differ — field 0.0056 (fraction of the barrier), jostle 0.15 (degrees of azimuth), placement 0.18 (degrees of azimuth) — and are in different units, so they cannot be compared directly. What can be compared is what they produce, and matched here they are within 27% of one another. Everything a finished pattern records about its noise is shared between the three.field — before the choice0.92°amplitude 0.0056jostle — before the choice0.70°amplitude 0.15placement — after it0.79°amplitude 0.183 runs each, at the amplitude that reaches 0.75°27% apart on the ruler
Fig. 8 Two stems with the same recorded scatter and different disturbances, from the phase that established that a ruler cannot tell them apart. This adds that the two are not equally close to failing.

What the control leaves for the ablation

There is a connection between this essay and the intervention that the rest of this phase is about, and it is worth drawing because it is the same fact from two directions.

The ablation removes an organ, and it moves the next one if and only if the organ removed is inside the front — with the largest displacements coming from organs in the middle of it. This essay displaces organs without removing any, and finds that the displacement matters in proportion to how much the organ contributes to the minimum.

Both are measurements of the same quantity: how much each organ in the neighbourhood is worth to the answer. The ablation measures it by deleting an organ and reading the shift; the disturbance measures it by moving pairs of organs together and reading the scatter. They agree that the contact neighbours dominate, and the ablation adds a boundary — the front, thirteen organs at this rise — that the disturbance work has no way to see.

That is a fair summary of what an intervention buys over an observation, in one sentence, and it did not need a plant to make it.

What this does not say

It does not say the transport account is refuted. Nothing here is evidence about whether a plant’s errors are transported; it is a statement about what happens to a lattice if they are. The account remains the one the previous phase could not distinguish from a placement rule on any observable it had.

It does not measure a plant’s coupling. The couplings here are 0.5 and 0.7 because those are the values at which the forgery works, and no measurement of the corresponding quantity in a plant exists.

And the accumulation is not entirely separated from the structure. The off-contact control settles which of correlation and leverage does the damage, and it does not settle how much of the contact transport’s harshness is its slow drift, since both versions have the same recursion and therefore the same drift. The evidence that the drift is the smaller part is that the off-contact version has it too and is harmless. A phase that wanted the last of it would build a contact-correlated disturbance with no accumulation in it — a moving average over the contact offsets rather than an autoregression — which is half an hour’s work and was not done.

Where each kind's lattice gives wayThe largest amplitude at which every run still has a lattice, and the scatter it produces there. The amplitudes are incomparable — field 0.015 (fraction of the barrier), jostle 1 (degrees of azimuth), placement 0.8 (degrees of azimuth) — and the scatters agree to 19%. The boundary belongs to the pattern rather than to the disturbance: a lattice fails at about a degree and a half of scatter, and which of three mechanisms produced it does not move where.field1.64°intact to 0.015, broken by 0.02jostle1.72°intact to 1, broken by 1.4placement1.42°intact to 0.8, broken by 13 runs per amplitudescatters 19% apart
Fig. 9 The boundary the measurement phase established, in recorded scatter. It survives everything in this thread: every stem here that keeps its lattice records under 1.2° and every stem that loses it records over 30°.
The ratio follows the disturbance, not the ruleThe ratio of the second comb to the main comb on stems grown by the placement rule and jostled by seven different disturbances, all at 0.25° of displacement per organ and all on the same rule. Independent errors and errors with a memory return 0.76–0.81, which is the value this site measured for the rule. A periodicity at the smaller parastichy number takes it down to 0.45; errors inherited from the contact neighbours take it up to 1.09, most of the way to the 1.24 a transported disturbance gives with no rule in it at all. So the quantity separates arrangements by how their errors are related, not by whether anything computed the positions.second comb ÷ main comb, at 0.25° of displacementthe rule, 0.79no rule at all, 1.24independent0.80a memory, ρ = 0.50.78a memory, ρ = 0.90.76a memory, ρ = 0.970.81repeating every 80.45inherited, a = 0.51.02inherited, a = 0.71.095 stems a row · rise 0.005generated from a stated rule, not drawn to look right
Fig. 10 And what all this costs the site’s discriminator, which is the third essay of this thread. If the rule’s response depends on the shape of the disturbance, so does every statistic read off its output.

Shares its objects with

Essays that name at least two of the same things, and that neither author linked.

  • A rule that cannot heal a hole — both name autocorrelation, divergence angle, ensemble, honest limits, lattice, measurement, noise, parastichy pair, the placement rule, self correction, tolerance
  • The ratio was never about the rule — both name autocorrelation, discrimination, divergence angle, ensemble, honest limits, measurement, noise, parastichy pair, the placement rule, transport
  • What a forgery has to know — both name autocorrelation, discrimination, honest limits, measurement, nearest neighbour, noise, parastichy pair, the placement rule, repulsion, transport
  • A comb is evidence of a rule — both name autocorrelation, discrimination, divergence angle, lattice, measurement, noise, parastichy pair, the placement rule, self correction
  • The grid was in the number — both name autocorrelation, discrimination, divergence angle, ensemble, honest limits, measurement, noise, the placement rule, tolerance
  • The organ that was taken away — both name discrimination, divergence angle, honest limits, lattice, measurement, nearest neighbour, parastichy pair, the placement rule, repulsion

Named objects

A flat tag is an object no other essay names yet.

AutocorrelationDiscriminationDivergence angleEnsembleHonest limitsLatticeMeasurementNearest neighbourNoiseParastichy pairThe placement ruleRepulsionSelf correctionToleranceTransport