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Decided by exhaustion — page 8

Questions with finitely many cases, settled by going through all of them — and what changes when a claim about every argument becomes a count.
Three places cut apart for 13. A network of eight places with road capacities, three of them lettered, coloured by which of the three sides of the cheapest three-way cut each place falls on, with the cut roads dashed. Discrete

Three places cut apart

Separating two places as cheaply as possible is solved exactly by a flow. Separating three from one another is a different problem: no flow measures it, the pairwise answers do not add up to it, and the best shortcut known in 1994 — cut each place off on its own and throw the dearest cut away — is guaranteed only to within a third of the truth.

The cheapest way to send 4 units, for 25. A directed network from s to t with a capacity and a price on each road, showing the whole-number flow of 4 units with the least total cost, the arrows thickened by the amount they carry. Discrete

The cheapest way to send

Put a price on every road as well as a capacity and ask for the cheapest way to send four units. Twenty-eight ways exist and one is cheapest, and two certificates prove it without comparing it with the other twenty-seven: no cycle of roads it leaves unused costs less than nothing to push round, and there are prices at the places that every usable road fails to beat.

Numbers whose divisors add to two, three, four, five and six times themselves. A table of multiperfect numbers with the multiple their divisor sum makes of them, the number itself and its factorisation into prime powers. Number

Divisors that add to three times the number

The divisors of 6 add up to 12, twice 6: a perfect number. The divisors of 120 add up to 360, three times 120, and those of 30,240 to four times it. Numbers like these were a sport for Fermat and Descartes, and they are held together by one fact — the ratio σ(n)/n is a product over the primes, and each prime can add only a little.

Numbers up to 600 that share their abundancy. A scatter of abundancy against n with horizontal segments joining numbers that have exactly the same abundancy. Number

A ratio nobody else has

Divide the sum of a number's divisors by the number and you get its abundancy: 2 for every perfect number, 12/5 for both 30 and 140. Numbers that share an abundancy are called friends. Some numbers provably have no friend at all, most have friends only far away — and for 10, whose abundancy is 9/5, nobody knows whether a friend exists.

Three patterns that beat one another in a circle: HHHT, TTHH, HTTH. Three coin-toss patterns at the corners of a triangle with arrows showing which beats which in two-way races, and each pattern's chance of winning when all three race. Probability

Three patterns in a circle

Race three coin patterns at once and the gamblers' accounting still gives each one's chance of arriving first — one fairness equation per pattern. What it does not give is any way to read the three-way result off the two-way ones. HHHT, TTHH and HTTH beat one another in a circle, and HHH loses both its head-to-head races and still finishes ahead of one of the patterns that beat it.

Several colours on every vertex of a Kneser graph. A grid of Kneser graphs on pairs from five to eight points against the number of colours per vertex, each cell giving the fewest colours needed and the counting lower bound. Topology

Several colours on every vertex

Give every pair from six points three colours, so that pairs with nothing in common share no colour. Counting says nine colours might do; ten are needed. Stahl conjectured in 1976 exactly how many colours every such problem needs — a formula that meets Lovász's topological answer at one colour a vertex and the obvious answer at k — and a search over stars and triangles confirms it in every case small enough to run.

Removing one end of an ordinary line from a triangle, its midpoints and its centroid. Two panels. Left: 7 points with all 9 connecting lines, one ordinary line solid and one of its ends ringed. Right: the same points with that end removed, 7 connecting lines left. Geometry

At least as many lines as points

Sylvester's theorem says some line through two of the points misses all the rest. Remove one end of that line and the line itself disappears, taking at least one line away with one point. Run that backwards and it proves that n points not all in a line determine at least n lines — and the only sets that manage exactly n are a line of n − 1 points with one point off it.

Tseitin's clauses on the cube. the cube with a variable on each edge and a charge of 0 or 1 at each vertex, exactly one vertex charged 1. The parity demands give 32 clauses that cannot all be true. Logic

A contradiction that is only a sum

Put a variable on every edge of a graph and ask each vertex for an odd or an even number of true edges, with the demands adding up to odd. Add all the demands and every edge is counted twice, so the left side is zero and the right side is one: the contradiction is a single sum. Resolution cannot add. It has to reach the same conclusion clause by clause, and on a graph where every group of vertices has many edges leaving it, that takes exponentially long.

Six points in space and the triangles that link, seed 48. A projection of K₆ with straight edges, the under-strands broken at crossings. 1 of the ten pairs of disjoint triangles are linked; the pair 126 and 345 is coloured. Topology

Six points in space and a pair that must link

Put six points anywhere in space and join every pair with a straight segment. Split the six into two triangles — there are ten ways — and at least one of the ten pairs of triangles is linked like two rings of a chain. No placement avoids it. The reason is a parity: moving an edge through another changes exactly two of the ten linking numbers, so their sum stays odd whatever is done.

Envy-free up to one item, and up to any: three people, five items. A value matrix for three people, five items with two allocations beneath it: one envy-free up to one item but not up to any, and one envy-free; the counts over all 243 allocations beside it. Applied

Envy that any single item would cure

Envy-free up to one item lets a person's envy be excused if removing the envied bundle's best item would cure it. The stronger standard asks that removing any item would — even the one that person values least. Every allocation of three people's items can be searched, and an allocation meeting the stronger standard was there every time; for two people cut and choose finds one, for three it took until 2020 to prove, and for four nobody knows.

Every reachable arrangement of the 3×3 sliding puzzle, by moves from solved. A bar chart of the 181440 reachable arrangements of the 3×3 sliding puzzle by the fewest moves that solve them, rising to a peak at 24 and falling to 2 at the maximum distance 31. Algebra

Thirty-one moves from solved

Parity settles which half of a sliding puzzle's arrangements can be reached and is silent about how far away any of them is. Searching every reachable arrangement of the three-by-three tray answers the second question exactly — two arrangements sit thirty-one moves out — and parity turns up again, this time as a law about distance.

Which arrangements sliding tokens reach, on nine graphs, against Wilson's theorem. A table of 9 small graphs drawn as icons, each with the searched count of reachable token arrangements and the fraction of all arrangements it is: a six-cycle 5/120; K₂,₃ 12/24; the 2×3 tray 60/120; a house 24/24; a six-cycle with one chord 120/120; a wheel of six 120/120; θ, inner paths 2, 2, 2 2520/5040; θ₀, inner paths 1, 2, 2 120/720; θ, inner paths 1, 3, 3 20160/40320. Algebra

Which graphs let the tokens go anywhere

A sliding puzzle is a graph with a token on every vertex but one. Richard Wilson found in 1974 what every such puzzle can reach, and the answer has a surprise in it — the half the tray is stuck with is not a fact about permutations at all, but about the board being two-coloured — and one exception, a graph of seven vertices that reaches exactly 120 of 720.

An auction for 4 objects, bid by bid, with increment 1/5. A 4 by 4 table of values beside the log of 12 bids of an auction with increment 1/5: bidder, object, the raise, and the prices after each bid; it ends with total value 26. Applied

Prices the bidders raise

The cheapest assignment is certified by a price on every task, and those prices can be found without anyone in charge. Let each unassigned person bid for the task that suits them best at current prices, raise its price by a little more than it is worth to them over the next best, and wait. The bidding ends, and when the increment is small enough the prices it ends at are a proof of optimality.

Greedy colouring of the crown graph in two orders: two colours, and four. The crown graph on eight vertices coloured greedily twice: in the order top row then bottom row it uses 2 colours, alternating between the rows it uses 4. Numbers on the vertices give the order. Discrete

The order decides the colours

The simplest way to colour a graph is to take the vertices one at a time and give each the first colour its neighbours are not already using. It never needs more than one colour beyond the largest degree — and on a graph that needs only two colours it can be made to use as many as there are vertices on a side, depending on nothing but the order it is handed.

The Moser spindle: 7 points, every edge one unit, and no three-colouring. the Moser spindle drawn to scale with 7 vertices and 11 unit-length edges, coloured with four colours; none of its 2187 three-colourings is proper. Discrete

How many colours the plane needs

Colour every point of the plane so that no two points exactly one unit apart share a colour. Seven colours are enough, by a tiling with hexagons, and four are necessary, by a graph of seven points. For sixty-eight years nothing better was known on either side; then in 2018 a graph of 1,581 points showed four is not enough — and the answer is still somewhere from five to seven.

The 9 mirrors of the octahedral group, cutting the sphere into 48 triangles. A sphere crossed by the 9 great circles of the octahedral group's mirror planes, dividing it into 48 triangles with one shaded. Geometry

Three mirrors make every solid

Every symmetry of a regular solid, reflections included, is produced by just three mirrors meeting at its centre, reflected in one another over and over — a kaleidoscope. Put a single point between the three mirrors and its reflections are the corners of a solid: the regular solid itself if the point sits in a corner, and every one of its truncated and expanded relatives if it sits anywhere else.

All 20,736 two-state Turing machines, by when they halt. A bar chart of the two-state, two-symbol Turing machines by halting step on a blank tape: 1: 6912, 2: 2304, 3: 384, 4: 128, 5: 16, 6: 40, never: 10952. Logic

No algorithm can read what a program does

Whether a program halts cannot be decided by any algorithm. Henry Rice showed in 1953 that the halting problem is not special: no algorithm can decide any property of what a program does — whether it ever prints a 7, whether it computes the successor function, whether it is a virus — except the two properties that hold of every program or of none. Every one of the 20,736 smallest Turing machines can be checked by hand; the theorem says why that stops.

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. Topology

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.

The same two lengths at 3 angles, and the area largest at the right angle. Parallelograms spanned by columns of lengths 1.6 and 1.25 at angles 38, 90, 142 degrees. Their areas are 1.23, 2.00, 1.23; the bound 2.00 is the product of the lengths and is reached only when the columns are perpendicular. Algebra

The biggest box built from signs

Fill a square table with plus and minus ones and ask how large its determinant can be. The columns all have the same length, so the answer is a box with fixed edges — largest when every corner is square, which is possible only when the size is a multiple of four.

The best degree-3 polynomial to eˣ: its error touches its largest size 5 times. The error curve of the best uniform polynomial approximation of degree 3 to eˣ on the interval from −1 to 1. It reaches its maximum size 5.528 × 10⁻³ at 5 points, alternately above and below, at x = -1.000, -0.682, 0.050, 0.732, 1.000. Analysis

The error that keeps coming back to its worst

Judge a polynomial by its largest error on an interval and there is exactly one best one of each degree. It is recognised without comparing it to anything else — its error rises to the same largest size, alternately above and below, one more time than there are coefficients.

3 moves along the edges to the corner that maximises 2x₁ + 3x₂. The simplex method on a two-variable program with 5 constraints, started at the origin. It visits (0, 0), (0, 8), (1, 8), (5/2, 15/2), with objective values 0, 24, 26, 55/2, and stops where the prices on both binding constraints are non-negative. Applied

Prices at every corner

The duality theorem says a linear program's best value equals its dual's, and says nothing about how to find either. The simplex method finds both at once — it walks from corner to corner, and at each one asks the constraints that meet there for prices. A negative price names an edge that climbs; when none is negative, the prices are the proof.

Eight corners of a squashed cube, visited in order by the simplex method. Klee and Minty's program in 3 variables drawn as its own deformed cube and as a plain one. The simplex method with the largest-price rule visits all 8 corners, with objective values 0, 4, 6, 10, 15, 19, 21, 25; the optimum is one edge from the start. Applied

The cube that takes every corner

The simplex method is fast on every program anybody meets in practice. In 1972 Victor Klee and George Minty squashed a cube so that the method, choosing the steepest edge each time, visits all of its corners — 2ⁿ − 1 moves in n variables, with the optimum one edge from the start.

12 points, a cup of 5 and a cap of 5. 12 points in general position with the longest convex-upward chain (5 points) and the longest convex-downward chain (5 points) marked. Discrete

Every crowd holds a bowl or a dome

Among enough points in the plane, some k of them always bend upward like a bowl or some l bend downward like a dome. The number that forces it is a binomial coefficient, it is exactly right, and it proves that every large enough crowd contains a convex polygon — with a bound nobody could lower to the true answer for eighty years.

A quadrilateral the Hénon map carries strictly inside itself. Hénon's trapping quadrilateral with corners (-1.33, 0.42), (1.32, 0.133), (1.245, -0.14), (-1.06, -0.5), the image of its boundary under the Hénon map lying strictly inside it, and an orbit on the attractor. Dynamics

A region the orbit cannot leave

That the Hénon map and the Lorenz flow have attractors takes two lines of arithmetic each — a region mapped strictly inside itself, a quantity that falls outside an ellipsoid. That the attractors are strange took a computer and twenty years for Lorenz, and for Hénon's classical parameters it has never been done. The difference between the two questions is the difference between a region and what lives in it.

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