Feasible region
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
Two numbers that have to meet
Every linear program has a shadow — a second program built from the same numbers read the other way, whose minimum can never fall below the first's maximum. That much is a one-line calculation; the theorem is that the two numbers are always exactly equal.
What a constraint is worth
A linear program and its dual reach the same number. What the dual's variables are is a separate question, and the answer converts a solution into a rate for every constraint — piecewise constant, zero on the constraints that are not doing any work.
When one of the two numbers is missing
The duality theorem is usually quoted as an equality: a linear program and its dual reach the same number. That is one of four cases. A program can run away to infinity, or have no feasible point at all, and then its dual is forced into a matching failure. Every small program with coefficients from minus one to one has been classified, and the table has exactly four occupied cells out of nine.
Named alongside it
The objects these essays reach for when they reach for this one.
ConvexityDualityLinear programExistence proofCertificateComplementary slacknessDerivativeFarkas lemmaMatrixMinimaxShadow priceVertex enumeration