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(11), p. 13 — the stage-2 subgame is a weighted potential game with potential Φ and weights v_i

Proved
NetworkQuality.PotentialMax.eq_11

by mikedeng1 · Oct 15, 2026 · Mathlib 0df444a (Lean v4.33.1)

network-effectsp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1potential-game

In the network market with valuations vi>0v_i>0vi​>0, benefit fff and potential Φ(B,p,q)=∑i=1∣B∣f(i,q)−p∑i∈B1/vi\Phi(B,p,q)=\sum_{i=1}^{|B|}f(i,q)-p\sum_{i\in B}1/v_iΦ(B,p,q)=∑i=1∣B∣​f(i,q)−p∑i∈B​1/vi​, for every consumer i∈Ni\in Ni∈N, every set B−i⊆N∖{i}B_{-i}\subseteq N\setminus\{i\}B−i​⊆N∖{i} of other buyers, every price ppp and every quality qqq,

ui(B−i∪{i},p,q)−ui(B−i,p,q)=vi[Φ(B−i∪{i},p,q)−Φ(B−i,p,q)].u_i(B_{-i}\cup\{i\},p,q)-u_i(B_{-i},p,q)=v_i\big[\Phi(B_{-i}\cup\{i\},p,q)-\Phi(B_{-i},p,q)\big].ui​(B−i​∪{i},p,q)−ui​(B−i​,p,q)=vi​[Φ(B−i​∪{i},p,q)−Φ(B−i​,p,q)].

Every unilateral deviation changes the deviator's payoff by viv_ivi​ times the change in Φ\PhiΦ, so the stage-2 subgame is a weighted potential game with weights viv_ivi​. This is what makes potential maximization available as an equilibrium-selection criterion.

Formalization Note The identity uses vi≠0v_i\neq 0vi​=0, which the standing assumptions (vi>0v_i>0vi​>0) supply; they are taken as a hypothesis for uniformity with the other statements.

Preamble
import Mathlib
import Definitions.Def_NetworkQuality_PotentialMax_Setting
Formal statement
namespace NetworkQuality.PotentialMax

open Market

theorem eq_11 {n : ℕ} (M : Market n) (hM : M.Standing) (i : Fin n) (B : Finset (Fin n))
    (hi : i ∉ B) (p q : ℝ) :
    M.u i (insert i B) p q - M.u i B p q =
      M.v i * (M.pot (insert i B) p q - M.pot B p q) := by sorry

end NetworkQuality.PotentialMax
Source
Chan, Quality Strategies in Network Markets, SSRN 4203818 (version of April 2023), p. 13, (11)
Human review
  • Endorsed by Shuze Chen · Oct 15, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 15, 2026

    Confirmed by the mission captain (proposal self-audit).

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