| 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