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Theorem 2.3 (Nash 1950): the Nash bargaining solution is the unique solution satisfying INV, SYM, IIA and PAR

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NashBargaining.nash_bargaining_solution_unique

by Nickrobbins95 · Oct 5, 2026 · Mathlib 0df444a (Lean v4.33.1)

bargainingcooperative-gameseconomicsgame-theoryoptimization

This is Nash's axiomatic characterization of the two-player bargaining solution (Nash 1950), in the form of Theorem 2.3 of Osborne–Rubinstein, Bargaining and Markets.

A bargaining problem is a pair ⟨S,d⟩\langle S,d\rangle⟨S,d⟩ in which S⊆R2S\subseteq\mathbb{R}^2S⊆R2 is compact and convex, d=(d1,d2)∈Sd=(d_1,d_2)\in Sd=(d1​,d2​)∈S is the disagreement point, and there is some s∈Ss\in Ss∈S with s1>d1s_1>d_1s1​>d1​ and s2>d2s_2>d_2s2​>d2​. Write B\mathcal{B}B for the set of all bargaining problems. A bargaining solution is a function f:B→R2f:\mathcal{B}\to\mathbb{R}^2f:B→R2 such that f(S,d)∈Sf(S,d)\in Sf(S,d)∈S for every ⟨S,d⟩∈B\langle S,d\rangle\in\mathcal{B}⟨S,d⟩∈B. Consider the following four axioms on a bargaining solution fff.

  1. INV (invariance to equivalent utility representations). Let α1,α2>0\alpha_1,\alpha_2>0α1​,α2​>0 and β1,β2∈R\beta_1,\beta_2\in\mathbb{R}β1​,β2​∈R, and let L(s1,s2)=(α1s1+β1, α2s2+β2)L(s_1,s_2)=(\alpha_1 s_1+\beta_1,\ \alpha_2 s_2+\beta_2)L(s1​,s2​)=(α1​s1​+β1​, α2​s2​+β2​). If the bargaining problem ⟨S′,d′⟩\langle S',d'\rangle⟨S′,d′⟩ is obtained from ⟨S,d⟩\langle S,d\rangle⟨S,d⟩ by this transformation, that is S′=L(S)S'=L(S)S′=L(S) and d′=L(d)d'=L(d)d′=L(d), then fi(S′,d′)=αifi(S,d)+βif_i(S',d')=\alpha_i f_i(S,d)+\beta_ifi​(S′,d′)=αi​fi​(S,d)+βi​ for i=1,2i=1,2i=1,2.
  2. SYM (symmetry). If ⟨S,d⟩\langle S,d\rangle⟨S,d⟩ is symmetric, meaning d1=d2d_1=d_2d1​=d2​ and (s1,s2)∈S(s_1,s_2)\in S(s1​,s2​)∈S if and only if (s2,s1)∈S(s_2,s_1)\in S(s2​,s1​)∈S, then f1(S,d)=f2(S,d)f_1(S,d)=f_2(S,d)f1​(S,d)=f2​(S,d).
  3. IIA (independence of irrelevant alternatives). If ⟨S,d⟩\langle S,d\rangle⟨S,d⟩ and ⟨T,d⟩\langle T,d\rangle⟨T,d⟩ are bargaining problems with S⊆TS\subseteq TS⊆T and f(T,d)∈Sf(T,d)\in Sf(T,d)∈S, then f(S,d)=f(T,d)f(S,d)=f(T,d)f(S,d)=f(T,d).
  4. PAR (Pareto efficiency). If ⟨S,d⟩\langle S,d\rangle⟨S,d⟩ is a bargaining problem, s,t∈Ss,t\in Ss,t∈S, and ti>sit_i>s_iti​>si​ for i=1,2i=1,2i=1,2, then f(S,d)≠sf(S,d)\neq sf(S,d)=s.

Theorem. There is a unique bargaining solution fNf^NfN satisfying INV, SYM, IIA and PAR. For every ⟨S,d⟩∈B\langle S,d\rangle\in\mathcal{B}⟨S,d⟩∈B, the point fN(S,d)f^N(S,d)fN(S,d) is the unique maximizer of the Nash product over the points of SSS that weakly dominate the disagreement point:

fN(S,d)=arg⁡max⁡s∈S, s1≥d1, s2≥d2 (s1−d1)(s2−d2).f^N(S,d)=\mathop{\arg\max}_{s\in S,\ s_1\ge d_1,\ s_2\ge d_2}\,(s_1-d_1)(s_2-d_2).fN(S,d)=argmaxs∈S, s1​≥d1​, s2​≥d2​​(s1​−d1​)(s2​−d2​).

Nash's theorem is the cornerstone of axiomatic bargaining theory. It singles out, from purely normative requirements, the division of the gains from cooperation that maximizes the product of the players' utility gains over disagreement, and it is the benchmark against which other axiomatic solutions (Kalai–Smorodinsky, egalitarian) and strategic bargaining models (Rubinstein's alternating offers) are compared.

Formalization Note Points of R2\mathbb{R}^2R2 are pairs in ℝ × ℝ. The set B\mathcal{B}B is a variable B fixed by the hypothesis hB, and a bargaining solution is a function on the subtype ↥B, evaluated at a problem ⟨S,d⟩\langle S,d\rangle⟨S,d⟩ with membership proof h as g ⟨(S, d), h⟩. The conclusion provides an f such that a function g satisfies the five conditions (g(S,d)∈Sg(S,d)\in Sg(S,d)∈S together with INV, SYM, IIA, PAR) if and only if g = f; this encodes existence and uniqueness. It then states that f(S,d)≥df(S,d)\ge df(S,d)≥d componentwise and that every other s∈Ss\in Ss∈S with s≥ds\ge ds≥d has a strictly smaller Nash product, which encodes the argmax formula including the uniqueness of the maximizer. In INV the transformed pair is assumed to be a bargaining problem, as in the source (it always is one).

Preamble
import Mathlib
Formal statement
theorem NashBargaining.nash_bargaining_solution_unique
    (B : Set (Set (ℝ × ℝ) × (ℝ × ℝ)))
    (hB : B = {P | IsCompact P.1 ∧ Convex ℝ P.1 ∧ P.2 ∈ P.1 ∧
      ∃ s ∈ P.1, P.2.1 < s.1 ∧ P.2.2 < s.2}) :
    ∃ f : B → ℝ × ℝ,
      (∀ g : B → ℝ × ℝ,
        (-- g is a bargaining solution: it selects a point of S
         (∀ (S : Set (ℝ × ℝ)) (d : ℝ × ℝ) (h : (S, d) ∈ B), g ⟨(S, d), h⟩ ∈ S) ∧
         -- INV: invariance under positive affine rescalings of the two utilities
         (∀ (S : Set (ℝ × ℝ)) (d : ℝ × ℝ) (h : (S, d) ∈ B)
            (α₁ α₂ β₁ β₂ : ℝ) (L : ℝ × ℝ → ℝ × ℝ), 0 < α₁ → 0 < α₂ →
            (∀ s : ℝ × ℝ, L s = (α₁ * s.1 + β₁, α₂ * s.2 + β₂)) →
            ∀ h' : (L '' S, L d) ∈ B, g ⟨(L '' S, L d), h'⟩ = L (g ⟨(S, d), h⟩)) ∧
         -- SYM: symmetric problems get symmetric outcomes
         (∀ (S : Set (ℝ × ℝ)) (d : ℝ × ℝ) (h : (S, d) ∈ B), d.1 = d.2 →
            (∀ s₁ s₂ : ℝ, (s₁, s₂) ∈ S ↔ (s₂, s₁) ∈ S) →
            (g ⟨(S, d), h⟩).1 = (g ⟨(S, d), h⟩).2) ∧
         -- IIA: independence of irrelevant alternatives
         (∀ (S T : Set (ℝ × ℝ)) (d : ℝ × ℝ) (hS : (S, d) ∈ B) (hT : (T, d) ∈ B),
            S ⊆ T → g ⟨(T, d), hT⟩ ∈ S → g ⟨(S, d), hS⟩ = g ⟨(T, d), hT⟩) ∧
         -- PAR: Pareto efficiency (a point of S strictly improved upon by some t ∈ S is never chosen)
         (∀ (S : Set (ℝ × ℝ)) (d : ℝ × ℝ) (h : (S, d) ∈ B), ∀ s ∈ S, ∀ t ∈ S,
            s.1 < t.1 → s.2 < t.2 → g ⟨(S, d), h⟩ ≠ s))
        ↔ g = f) ∧
      -- the unique such solution is the maximizer of the Nash product
      ∀ (S : Set (ℝ × ℝ)) (d : ℝ × ℝ) (h : (S, d) ∈ B),
        d.1 ≤ (f ⟨(S, d), h⟩).1 ∧ d.2 ≤ (f ⟨(S, d), h⟩).2 ∧
        ∀ s ∈ S, d.1 ≤ s.1 → d.2 ≤ s.2 → s ≠ f ⟨(S, d), h⟩ →
          (s.1 - d.1) * (s.2 - d.2) <
            ((f ⟨(S, d), h⟩).1 - d.1) * ((f ⟨(S, d), h⟩).2 - d.2) := by sorry
Source
J. F. Nash, 'The Bargaining Problem', Econometrica 18(2) (1950), 155–162. Statement and axioms as in M. J. Osborne and A. Rubinstein, Bargaining and Markets, Academic Press, 1990, Chapter 2 'The Axiomatic Approach: Nash's Solution': Section 2.2 (bargaining problems and bargaining solutions), Section 2.3 (axioms INV, SYM, IIA, PAR), Theorem 2.3.

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