The Complexity of Stackelberg Pricing Games
Christoph Gr\"une, Dorothee Henke, Eva Rotenberg, Lasse Wulf

TL;DR
This paper proves that Stackelberg pricing games are computationally very complex, specifically $ ext{Sigma}_2^p$-complete, for a wide range of classic NP-complete problems, highlighting the inherent difficulty of these bilevel pricing problems.
Contribution
It establishes the $ ext{Sigma}_2^p$-completeness of Stackelberg pricing games across many NP-complete problems, confirming a longstanding conjecture and broadening understanding of their complexity.
Findings
Stackelberg pricing game is $ ext{Sigma}_2^p$-complete for the knapsack problem.
The $ ext{Sigma}_2^p$-completeness extends to over 50 NP-complete problems.
This result aligns with recent meta-theorems on higher complexity in the polynomial hierarchy.
Abstract
We consider Stackelberg pricing games, which are also known as bilevel pricing problems, or combinatorial price-setting problems. This family of problems consists of games between two players: the leader and the follower. There is a market that is partitioned into two parts: the part of the leader and the part of the leader's competitors. The leader controls one part of the market and can freely set the prices for products. By contrast, the prices of the competitors' products are fixed and known in advance. The follower, then, needs to solve a combinatorial optimization problem in order to satisfy their own demands, while comparing the leader's offers to the offers of the competitors. Therefore, the leader has to hit the intricate balance of making an attractive offer to the follower, while at the same time ensuring that their own profit is maximized. Pferschy, Nicosia, Pacifici, and…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Game Theory and Voting Systems · Advanced Graph Theory Research
