Nash bargaining problem 2026-10-07
The essential two-person bargaining domain consists of a compact convex set of feasible utility vectors , a disagreement point , and at least one feasible vector strictly exceeding coordinatewise. The Nash bargaining solution selects a jointly feasible improvement using a rule characterized by Pareto efficiency, bargaining symmetry, positive affine invariance in bargaining and bargaining independence of irrelevant alternatives.
Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 38 6 a Solution Created 2026-10-03 Updated 2026-10-07
Use the usual essential two-person Nash bargaining problem: is a compact convex set, is the disagreement point, and some satisfies for both players. The Nash bargaining solution isThe positive maximum exists by compactness and essentiality. On positive gains, maximizing this Nash product is equivalent to maximizing , a strictly concave function. Convexity then gives a unique maximizer. The essentiality and compactness hypotheses matter: for example, with and , the product is zero everywhere and its argmax alone is not a single-valued definition.
The rule satisfies all four axioms. Pareto efficiency: a feasible vector dominating the chosen vector with at least one strict improvement would increase its positive Nash product. Bargaining symmetry: if the problem is unchanged by swapping players, uniqueness makes the answer unchanged, so the two payoffs agree. Positive affine invariance in bargaining: for with , gains transform to and the product is multiplied by the positive constant , preserving its maximizer. Bargaining independence of irrelevant alternatives: if is another admissible feasible set containing the chosen vector and the same disagreement point, that vector remains the unique product maximizer over .
To prove characterization, let be any feasible single-valued rule satisfying these axioms, and let . Normalize payoffs by the positive affine transformationThe transformed set has disagreement point zero and product maximizer . For any , convexity puts in ; for sufficiently small both gains remain positive. The one-sided derivative of the product at its maximum is therefore nonpositive:Thus . By compactness choose so every coordinate of every is at least . The supporting triangle for Nash bargaining isIt contains , is compact, convex, symmetric and essential, and contains disagreement zero. Symmetry forces onto the diagonal; Pareto efficiency then forces it to be . Since , bargaining independence of irrelevant alternatives gives . Undoing the normalization by positive affine invariance in bargaining gives . Hence the four axioms uniquely characterize the Nash bargaining solution on this domain.
Supporting triangle for Nash bargaining 2026-10-07
Normalize a positive Nash product maximizer and the disagreement point to and zero. The first-order product inequality along every feasible segment places the transformed set in . Compactness allows a symmetric containing triangle with finite lower coordinate bounds. Bargaining symmetry and Pareto efficiency choose in that triangle; bargaining independence of irrelevant alternatives transfers this choice to the original normalized set. Positive affine invariance in bargaining then proves the full characterization.