Concept

Critical point

A critical point of a function is a place where its slope is zero in every direction: a peak, a pit or a saddle. Counted with signs, plus for peaks and pits and minus for saddles, the critical points of a function on a closed surface always add up to its Euler characteristic.

Named by 6 essays across 2 fields — each of them below, with the objects they name alongside it.

The turning point's orbit over the bifurcation diagram, 3.55 to 4. The bifurcation diagram of the logistic map from 3.55 to 4 with the curves f(1/2), f²(1/2), … up to the 6th image drawn over it. The first two bound the attractor and the rest trace the dark lines inside it.

The dark lines are one point's orbit

Past the end of the period-doubling cascade the bifurcation diagram turns into grey bands crossed by darker curves. Every one of those curves is the orbit of a single point — the top of the hump — and the places where they meet are exactly where the bands merge, in a second cascade that runs backwards at the same rate.

dynamics · Period-doubling
A random surface and the region above height 1. A smooth Gaussian random field on a 64 by 64 torus and its excursion set above 1: 14 pieces, 0 holes, Euler characteristic 14; expected 13.8.

Pieces minus holes on a random surface

Cut a random landscape at some height and the region above it breaks into pieces with holes in them. How many pieces, and how many holes, has no formula. Their difference does: the average Euler characteristic of the region above height u is a constant times u multiplied by the bell curve at u, exactly, for every smooth Gaussian surface — because the Euler characteristic is a sum of peaks, pits and saddles, and the average number of those can be computed point by point.

topology · Euler characteristic
Where the free critical point goes, for every cubic in a family. The parameter plane of the cubics (z − 1)(z² + z + a) from −2 to 3 across and −2.5i to 2.5i up, coloured by the root Newton's method takes 0 to, with small dark regions where 0 is trapped in a cycle.

Small Mandelbrot sets among the cubics

For most cubics Newton's method finds a root from almost every start. For some it does not: a whole region of starting points falls into a cycle and never finishes. Which cubics are the bad ones is decided by a single starting point — the one critical point that is not a root — and when the cubics are laid out in a plane and coloured by where that point goes, the bad ones form small, exact copies of the Mandelbrot set.

dynamics · Newton basins
A trefoil, and how far its tangent turns. The (2, 3) torus knot with tube radius 0.45; total curvature 16.8556 = 5.3653π.

A knot must turn twice, and a little more

Follow a closed curve and add up how far its direction turns. Any closed curve turns through at least one full circle; a knotted one turns through more than two. The proof is a count of hilltops — the total turning equals 2π times the number of highest points the curve has, averaged over every direction to look from — and a curve with a single hilltop in any direction cannot be knotted.

topology · Knots
Three cascades, a sharp top, a round top and a flat top. z = 1.25: δ ≈ 3.2596; z = 2: δ ≈ 4.6692; z = 6: δ ≈ 9.2963.

One constant for each shape of top

Feigenbaum's 4.669 is the same for every smooth one-humped map — provided the hump is rounded like a parabola. Make the top flatter, like the graph of x to the fourth, and the doublings crowd together at 7.285; make it sharper, like x to the power 1.25, and they crowd at 3.260. Measured across twenty shapes of top, the constant is a smooth rising curve with 4.669 as one point on it, and the spatial constant falls as it rises.

dynamics · Period-doubling
The pieces of a random vibration. Random plane wave, 240×240 grid, wavelength 24: 23 positive and 18 negative domains.

The pieces no formula counts

A random vibration of a large membrane splits the surface into regions where it bulges up and regions where it dips down. Pieces minus holes has an exact average; the number of pieces has none. Nazarov and Sodin proved it is proportional to the area, Bogomolny and Schmit predicted the constant from percolation, 0.0624, and counting the pieces of 51 random waves gives 0.0599 — below the prediction by several standard errors. The sizes of the pieces follow percolation's law; their number does not.

topology · Euler characteristic

Named alongside it

The objects these essays reach for when they reach for this one.

Period-doublingEuler characteristicFeigenbaum constantRandom fieldRenormalisationSaddle pointScalingAttractorBasin of attractionBifurcationChaosCurvature

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