Valuation measure
Named by 5 essays across one field — each of them below, with the objects they name alongside it.
One cuts and the other chooses
The oldest rule in fair division promises each of two people at least half the cake by their own measure, and it keeps that promise exactly. It does not promise what the word "fair" is usually asked to carry, and the gap opens the moment the two measures disagree across the cut.
Three people and a trimmed piece
For two people, one cut and one choice deliver a division nobody would swap out of. For three, the same promise costs a trimming, a residue and a choosing order contrived so that an advantage once given cannot be taken back — and the verdict is not three numbers but a whole three-by-three matrix.
Envy-free, up to one item
A cake can be cut anywhere, and every guarantee about fair cutting was bought with that freedom. Take the knife away and the exhaustive search over every allocation of three objects returns nothing envy-free at all — so the subject weakened the word until taking turns was enough to reach it.
How many cuts a fair share costs
Every person can be guaranteed a share of a cake worth at least one n-th by their own measure, and the oldest rule that does it asks about n²/2 questions. Splitting the people into halves and the cake at a median mark asks about n log n — and a theorem says nothing can ask fewer. Fairness has a price, and it can be counted.
The product that makes a division fair
Divide goods to make the total happiness as large as possible and the result can be monstrously unfair; make the least happy person as happy as possible and it can waste. Multiply the people's values together and maximise the product instead, and something unexpected happens — nobody envies anybody when goods can be split, and nobody envies by more than one item when they cannot.
Named alongside it
The objects these essays reach for when they reach for this one.
Fair divisionDivide and chooseEnvy-freenessProportionalityCounting argumentIndivisible goodsMoving knifeAllocationComplexityConvexityDualityEfficiency