Monotonicity and Weighted Prenucleoli: A Characterization Without Consistency

Author:

Calleja Pedro1ORCID,Llerena Francesc2ORCID,Sudhölter Peter3ORCID

Affiliation:

1. Department of Mathematics for Economics, Finance and Actuarial Sciences, Barcelona Economic Analysis Team (BEAT), Faculty of Economics and Business, University of Barcelona, 08034 Barcelona, Spain;

2. Department of Business Management and Research Center on Industrial and Public Economics (CREIP), Faculty of Business and Economics, Rovira i Virgili University, 43204 Reus, Spain;

3. Department of Business and Economics, Faculty of Business and Social Sciences, University of Southern Denmark, 5230 Odense, Denmark

Abstract

A solution on a set of transferable utility (TU) games satisfies strong aggregate monotonicity (SAM) if every player can improve when the grand coalition becomes richer. It satisfies equal surplus division (ESD) if the solution allows the players to improve equally. We show that the set of weight systems generating weighted prenucleoli that satisfy SAM is open, which implies that for weight systems close enough to any regular system, the weighted prenucleolus satisfies SAM. We also provide a necessary condition for SAM for symmetrically weighted nucleoli. Moreover, we show that the per capita nucleolus on balanced games is characterized by single-valuedness (SIVA), translation covariance (TCOV) and scale covariance (SCOV), and equal adjusted surplus division (EASD), a property that is comparable to but stronger than ESD. These properties together with ESD characterize the per capita prenucleolus on larger sets of TU games. EASD and ESD can be transformed to independence of (adjusted) proportional shifting, and these properties may be generalized for arbitrary weight systems p to I(A)Sp. We show that the p-weighted prenucleolus on the set of balanced TU games is characterized by SIVA, TCOV, SCOV, and IASp and on larger sets by additionally requiring ISp.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications,General Mathematics

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