Article ID: | iaor20119970 |
Volume: | 151 |
Issue: | 1 |
Start Page Number: | 64 |
End Page Number: | 80 |
Publication Date: | Oct 2011 |
Journal: | Journal of Optimization Theory and Applications |
Authors: | Donato Bernadette, Milasi Monica, Scrimali Laura |
Keywords: | programming: dynamic |
The aim of this paper is to study the Walrasian equilibrium problem when the data are time‐dependent. In order to have a more realistic model, the excess demand function depends on the current price and on previous events of the market. Hence, a memory term is introduced; it describes the precedent states of the equilibrium. This model is reformulated as an evolutionary variational inequality in the Lebesgue space