Time: 11:00am to 12:15pm
Venue: Room 6-207, 6/F, Lau Ming Wai Academic Building
Many models in economics and operations research can be formulated as Variational Inequalities (VI) problems. In this paper, we introduce an equivalence relation called ordinal equivalence transformation (OET) on VI, which has the property of preserving the solution set of VI. We revisit many classical network games in the economics literature, which include games with uni-dimensional or multi-dimensional strategies, games with strategic complementary or substitutes, games with linear or nonlinear best-reply functions, etc. For each of these games, by identifying certain ordinal equivalence transformations, we are able to transform the original VI problem into a much simpler one. The new VI problem (and not the original one) satisfies an integrability condition, which enables us to reformulate this problem as a minimization programming. As a by-product, we explicitly construct a best-response potential function of the original game, from which various properties of Nash equilibrium, such us existence, uniqueness and stability, can be derived. Finally, using this new technique, we also study several new classes of network games with multiple activities and multiple heterogeneous network structures.
(joint work with Yves Zenou from Monash University)
Junjie Zhou is currently an assistant professor of economics at National University of Singapore. Prior to the current position, he was at SHUFE from June 2012 to June 2016. He received his PhD degree in Mathematics from UC Berkeley in 2012 and bachelor’s degree of Mathematics from University of Science and Technology of China in 2007. His current research focuses on social and economic network, industrial organization and game theory. His research work has been published in Journal of Economic Theory, the Economic Journal, Games and Economic Behavior, Operations Research and Production and Operations Management.