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(3) — asymmetric positioning equilibrium

Proved
PPDifferentiation.ShortRun.asymmetric_positions

by mikedeng1 · Oct 16, 2026 · Mathlib 0df444a (Lean v4.33.1)

hotellingnash-equilibriump2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1personalized-pricing

For t>0t>0t>0, suppose only A uses personalized pricing. A is the targeting follower and B is the uniform-price leader. The positioning subgame has an equilibrium at

xAAS=−12,xBAS=12.x_A^{AS}=-\frac12,\qquad x_B^{AS}=\frac12.xAAS​=−21​,xBAS​=21​.

The positioning comparison includes moves to every real point, including a move across the rival's location. It provides the positions used in the asymmetric implementation-payoff cells.

Formalization Note This is a weak equilibrium: A can move to the reflected position 3/23/23/2 and tie its equilibrium gross profit. At coincident positions the leader may have multiple optimal prices, so the predicate chooses an optimal continuation after a deviation. The source optimizes over ordered locations; the statement checks the full real-location game.

Preamble
import Mathlib
import Definitions.Def_PPDifferentiation_ShortRun_Setting
Formal statement
namespace PPDifferentiation.ShortRun

theorem asymmetric_positions (t : ℝ) (ht : 0 < t) :
    IsPosEqAS t (-1/2) (1/2) := by sorry

end PPDifferentiation.ShortRun
Source
Li, Wang, Nault, Is Personalized Pricing Profitable When Firms Can Differentiate?, working paper, SSRN abstract 3881900 (version of August 3, 2021), §6, p. 24, display (3)
Human review
  • Endorsed by Shuze Chen · Oct 16, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 16, 2026

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

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