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Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line

AAAI 2025 · Learning theory and algorithms › Submodular and game algorithms · approach: Committee voting rules · 0 citations (OpenAlex)

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Studies additive epsilon-equilibria in Hotelling-Downs spatial competition on the line with m candidates and voter density f, proving nearly tight bounds (1/12, 1/6 for 3 candidates; 1/(m+1) upper and 1/(m+3) lower for m candidates; 1/7 and 1/6 when candidates may co-locate).

Problem

Spatial (Hotelling-Downs) candidate competition on [0,1] has no pure equilibrium for three or more candidates in general; the paper asks how close to equilibrium candidates can get, i.e., the best achievable additive approximation epsilon.

Approach

Derives tight worst-case and best-case additive approximation bounds via votes-counting arguments: for 3 candidates, any profile is at least 1/12-approximate and some distribution forces 1/6; for m candidates, an equipartition profile (computed via Cut queries) is a 1/(m+1)-equilibrium, and a rapidly decaying density gives a lower bound of 1/(m+3).

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase the number of candidates from 3 to m ≥ 4Worst-case voter distributions in Hotelling spatial competition · Line interval [0,1]epsilon (approximation): 1/6 -> 1/(m+1)Helped
Allow multiple candidates to occupy the same locationThree-candidate Hotelling spatial competition · Worst-case voter distributionsepsilon (approximation): 1/6 -> 1/7Helped
Place candidates at voter quantiles forming an equipartitionm-candidate Hotelling spatial competition · All voter distributionsepsilon (approximation): ε ≤ 1/(m+1)Helped

Surprising findings

Limitations

Experimental setup

Metrics: additive epsilon of approximate equilibrium

Builds on: Hotelling model Downs model Eaton and Lipsey nonexistence results Robertson-Webb query model

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