Concept

Inequality

A statement that one quantity is at least another. Most named ones are a single supporting line at a well-chosen point of a convex function, which is why collecting convex functions is a way of collecting inequalities.

Named by 7 essays across 5 fields — each of them below, with the objects they name alongside it.

What each rule is answering. A table of five apportionments against three measures of inequality between two regions, with a tick where no transfer of a seat reduces the measure; each measure certifies exactly one of the five.

Choosing what unfair means

Ask whether moving one seat between two regions would make them more equal, and the answer depends on what "equal" is measured in. Three measures, three different answers, and each of the classical methods is the one no transfer can improve for exactly one of them.

applied · Apportionment
A line under every point of x². The curve x² with 4 tangent lines drawn, each extended across the whole interval and each staying below the curve throughout.

A line under every point

The chord above the curve is one definition of convexity. There is a second — a line under the curve at every point, staying under everywhere — and it is the one that turns a statement about a derivative at a point into a statement about the whole function.

analysis · Convexity
The parabola that proves |a·b| ≤ |a||b|. The squared length of a − t b plotted against t. It is a parabola opening upward whose least value is 7.118; that this is never negative is exactly the Cauchy–Schwarz inequality.

The square that cannot be negative

Cauchy–Schwarz is the load-bearing inequality of the whole subject and is nearly always stated without proof. It is one line away from a fact nobody would argue with, and the line is a parabola with no room to cross the axis.

algebra · Inner product
Integration by parts is a rectangle. The increasing curve v = u²/4 between u = 1 and u = 3. The region under it is shaded one way and the region between it and the vertical axis another; together they fill the rectangle from the origin to (3, 2.25) minus the rectangle to (1, 0.25).

A rectangle cut by a curve

Integration by parts is taught as the product rule run backwards. It is also a picture: an increasing curve cuts a rectangle into two pieces, one of them the area under the curve and the other the area beside it, and the formula says only that the pieces fill the rectangle. Run repeatedly, the same cut produces the factorials and Wallis's product for π.

analysis · The integral
Every count of corners and faces a convex solid can have. A grid of pairs (V, F) from 4 to 16, with the 85 realisable pairs filled between the lines F = 2V − 4 and V = 2F − 4, and the regular solids labelled.

Every count a solid can have

Euler's formula ties the corners, edges and faces of a convex solid together, but it does not say which numbers are possible. Ernst Steinitz answered in 1906: V corners and F faces occur together exactly when neither is more than twice the other less four. The proof in one direction is two lines of counting; in the other it is two moves — cut off a corner, glue on a tetrahedron — that walk from the pyramids to every allowed pair.

topology · Euler characteristic
The fewest triangles a graph can have at each edge density. Razborov's minimum triangle density: 0.55: 0.0730, 0.6: 0.1415, 0.7: 0.2871, 0.75: 0.3750, 0.8: 0.4800, 0.9: 0.7200; it equals Goodman's bound at 1 − 1/t.

The fewest triangles an edge density allows

Half of all possible edges can be drawn without a single triangle. One more, and triangles appear — not one but several at once. Push the density further and the question becomes a curve: for every share of edges, the fewest triangles a large graph can hold. The answer is a string of scallops, touching a simple parabola at the densities of the balanced multipartite graphs and bulging above it between them. It was guessed in the 1980s and proved in 2008 by a method that turns counting into positive-definite matrices.

discrete · Extremal graphs
The roots of every polynomial of degree 11 with coefficients ±1. 22528 roots; radii from 0.500 to 2.000; 42% within 0.1 of the unit circle.

Random roots crowd onto the circle

The roots of a random polynomial are not scattered across the plane. They gather within about 1/n of the unit circle, and their directions spread evenly round it. Paul Erdős and Pál Turán proved in 1950 that this is not a fact about randomness at all: any polynomial whose coefficients are all of roughly one size has roots whose directions are nearly even, and the inequality says exactly how nearly, in terms of nothing but the coefficients.

algebra · Polynomial roots

Named alongside it

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

ConvexityAntiderivativeApportionmentAreaCauchy schwarzCircleComplex numbersConstructionCounting argumentDerivativeDiscriminantDivisor method

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