Extension of Excess Demand Ascending Auction to Multi-Demand Model by Discrete Convex Analysis Approach

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Hauptverfasser: Murota, Kazuo, Shioura, Akiyoshi
Format: Preprint
Veröffentlicht: 2026
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author Murota, Kazuo
Shioura, Akiyoshi
author_facet Murota, Kazuo
Shioura, Akiyoshi
contents We consider the problem of finding the (unique) minimal Walrasian equilibrium price in multi-item, multi-unit auction models: there are multiple indivisible items for sale, with several units of each item, and a bidder may be interested in buying more than one copy of each item. In its special case with unit-demand bidders, where each bidder demands at most one unit of any item, Andersson, Andersson, and Talman (2013) proposed a general framework of ascending auction algorithms based on the concept of excess-demand item set. This paper extends this approach to the multi-unit case by exploiting the discrete convexity of the Lyapunov function associated with the auction model. In particular, we make use of the facts that (i) the equilibrium price vectors are characterized as the minimizers of the Lyapunov function, (ii) the Lyapunov function is an instance of an L-natural-convex function, and (iii) a concept generalizing ``excess-demand item set'' can be defined in L-natural-convex function minimization in general.
format Preprint
id arxiv_https___arxiv_org_abs_2604_27765
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Extension of Excess Demand Ascending Auction to Multi-Demand Model by Discrete Convex Analysis Approach
Murota, Kazuo
Shioura, Akiyoshi
Combinatorics
91B26, 52A41, 90C25
We consider the problem of finding the (unique) minimal Walrasian equilibrium price in multi-item, multi-unit auction models: there are multiple indivisible items for sale, with several units of each item, and a bidder may be interested in buying more than one copy of each item. In its special case with unit-demand bidders, where each bidder demands at most one unit of any item, Andersson, Andersson, and Talman (2013) proposed a general framework of ascending auction algorithms based on the concept of excess-demand item set. This paper extends this approach to the multi-unit case by exploiting the discrete convexity of the Lyapunov function associated with the auction model. In particular, we make use of the facts that (i) the equilibrium price vectors are characterized as the minimizers of the Lyapunov function, (ii) the Lyapunov function is an instance of an L-natural-convex function, and (iii) a concept generalizing ``excess-demand item set'' can be defined in L-natural-convex function minimization in general.
title Extension of Excess Demand Ascending Auction to Multi-Demand Model by Discrete Convex Analysis Approach
topic Combinatorics
91B26, 52A41, 90C25
url https://arxiv.org/abs/2604.27765