| _version_ | 1866901569197309952 |
|---|---|
| author | Zhang, Jincheng |
| author_facet | Zhang, Jincheng |
| contents | <p><span>This paper proposes a novel unified optimization framework that integrates Dual Semidefinite Programming (DSP) and Incentive Compatibility (IC) constraints from mechanism design into a unified semidefinite programming structure. Traditional methods treat global optimality and matrix constraints with DSP, while mechanism design addresses individual policy stability, resulting in a long-standing disconnect between the two. This paper introduces "utility difference matrixization" and "dual constraint embedding" to construct a unified "Incentive Compatible Dual Semidefinite Programming (UD-ICSDP)," enabling social optimality and policy stability to simultaneously hold within the same convex optimization space.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19567763 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Unified Dual Semidefinite Programming Framework for Incentive-Compatible Mechanism Design Zhang, Jincheng <p><span>This paper proposes a novel unified optimization framework that integrates Dual Semidefinite Programming (DSP) and Incentive Compatibility (IC) constraints from mechanism design into a unified semidefinite programming structure. Traditional methods treat global optimality and matrix constraints with DSP, while mechanism design addresses individual policy stability, resulting in a long-standing disconnect between the two. This paper introduces "utility difference matrixization" and "dual constraint embedding" to construct a unified "Incentive Compatible Dual Semidefinite Programming (UD-ICSDP)," enabling social optimality and policy stability to simultaneously hold within the same convex optimization space.</span></p> |
| title | Unified Dual Semidefinite Programming Framework for Incentive-Compatible Mechanism Design |
| url | https://doi.org/10.5281/zenodo.19567763 |