Dynamic Equilibria with Nonsmooth Utilities and Stocks: An L∞ Differential GQVI Approach

We develop a comprehensive dynamic Walrasian framework entirely in L∞ so that prices and allocations are essentially bounded, and market clearing holds pointwise almost everywhere. Utilities are allowed to be locally Lipschitz and quasi-concave; we employ Clarke subgradients to derive generalized quasi-variational inequalities (GQVIs). We endogenize inventories through a capital-accumulation constraint, leading to a differential QVI (dQVI). Existence is proved under either strong monotonicity or pseudo-monotonicity and coercivity. We establish Walras’ law, and the complementarity, stability, and sensitivity of the equilibrium correspondence in L2-metrics, incorporate time-discounting and uncertainty into Ω×[0,T], and present convergent numerical schemes (Rockafellar–Wets penalties and extragradient). Our results close the “in mean vs pointwise” gap noted in dynamic models and connect to modern decomposition approaches for QVIs.

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Publication Details

Journal
Mathematics
Published
2025-11-02
DOI
https://doi.org/10.3390/math13213506
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Dynamic Equilibria with Nonsmooth Utilities and Stocks: An L∞ Differential GQVI Approach

Francesco Rania
Mathematics
Optimization and Variational Analysis
article

Dynamic Equilibria with Nonsmooth Utilities and Stocks: An L∞ Differential GQVI Approach

Francesco Rania
article en

Abstract

We develop a comprehensive dynamic Walrasian framework entirely in L∞ so that prices and allocations are essentially bounded, and market clearing holds pointwise almost everywhere. Utilities are allowed to be locally Lipschitz and quasi-concave; we employ Clarke subgradients to derive generalized quasi-variational inequalities (GQVIs). We endogenize inventories through a capital-accumulation constraint, leading to a differential QVI (dQVI). Existence is proved under either strong monotonicity or pseudo-monotonicity and coercivity. We establish Walras’ law, and the complementarity, stability, and sensitivity of the equilibrium correspondence in L2-metrics, incorporate time-discounting and uncertainty into Ω×[0,T], and present convergent numerical schemes (Rockafellar–Wets penalties and extragradient). Our results close the “in mean vs pointwise” gap noted in dynamic models and connect to modern decomposition approaches for QVIs.

MathematicsVol. 13(21)
Magna Graecia University (IT)
Openalex Percentile: Top 66%
Optimization and Variational Analysis
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