arXiv (All)
open access
W-BSDEs with Common Noise: Well-posedness, Characterization, and Consequences
We study a notion of backward stochastic differential equation on the Wasserstein space, called a W-BSDE. This work extends to the common noise setting recent results of the first author. The equation is formulated in Markovian form along admissible flows of conditional laws generated by McKean-Vlas
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Instantaneous shrinking of supports for stochastic PDEs#822393
- Differential Inclusions for Gradient and Symmetrized Gradient Operators#1122939
- History-Conditioned Inference of Memory and Stochastic Forcing in Generalized Langevin Equations under Lévy Noise#1215961
- Backward stochastic partial differential equations with unbounded random coefficients#1233317
- Well-posedness of the Stochastic Landau--Lifshitz--Baryakhtar Equation in $\mathbb{R}^d$#1143489
Record · ID 1215690
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive