pith. sign in

arxiv: 2604.23656 · v1 · submitted 2026-04-26 · 🧮 math.PR

Doubly Reflected Backward SDEs Driven by G-Brownian Motion with Quadratic Generator

Pith reviewed 2026-05-08 05:28 UTC · model grok-4.3

classification 🧮 math.PR
keywords doubly reflected G-BSDEsquadratic generatorG-Brownian motionexistence and uniquenesspenalization approximationG-BMO martingalesdouble-obstacle PDEs
0
0 comments X

The pith

Doubly reflected G-BSDEs with quadratic generators have unique solutions when the upper obstacle is almost a generalized G-Itô process.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes existence and uniqueness for doubly reflected backward SDEs driven by G-Brownian motion with a quadratic generator. The key condition is that the upper obstacle is almost a generalized G-Itô's process. Under this assumption the solution is the monotone limit of solutions to penalized reflected G-BSDEs that involve only a lower obstacle. The construction relies on G-BMO martingale theory and the G-Girsanov theorem. This monotone approximation is then used to relate the stochastic equations to fully nonlinear PDEs with two obstacles.

Core claim

When the upper obstacle is almost a generalized G-Itô's process, the doubly reflected G-BSDE with quadratic generator admits a unique solution. The solution is obtained as the monotone limit of solutions to a family of penalized reflected G-BSDEs with a lower obstacle only.

What carries the argument

Penalization scheme for the upper obstacle, combined with G-BMO martingale estimates and G-Girsanov change of measure to handle quadratic growth.

If this is right

  • The solution is the monotone limit of solutions to penalized reflected G-BSDEs with only a lower obstacle.
  • The penalization procedure connects doubly reflected G-BSDEs to fully nonlinear PDEs with double obstacles.
  • The G-BMO and G-Girsanov tools extend existence results to the double-reflection case with quadratic terms.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This penalization limit could support numerical approximation schemes for the associated double-obstacle PDEs under model uncertainty.
  • The approach may generalize to other reflected G-BSDE problems arising in robust control.
  • Comparison principles for the corresponding nonlinear PDEs become accessible through the same estimates.

Load-bearing premise

The upper obstacle must be almost a generalized G-Itô's process in order for G-BMO theory to control the quadratic growth term.

What would settle it

An explicit counter-example of a quadratic doubly reflected G-BSDE whose upper obstacle fails to be almost a generalized G-Itô process, yet which still possesses a solution, would disprove the claim.

read the original abstract

In this paper, we study the doubly reflected backward stochastic differential equations driven by $G$-Brownian motion ($G$-BSDEs for short) when the generator has quadratic growth in the $z$-component. Based on the theory of $G$-BMO martingale and $G$-Girsanov theorem, we establish the existence and uniqueness result when the upper obstacle is almost a generalized $G$-It\^{o}'s process. Moreover, the solution can be approximated monotonically by the solutions to a family of penalized reflected $G$-BSDEs with a lower obstacle, which plays an important role to establish the relation between doubly reflected $G$-BSDEs and fully nonlinear partial differential equations with double obstacles.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The paper establishes existence and uniqueness for solutions to doubly reflected G-BSDEs with quadratic growth in the z-component, under the standing assumption that the upper obstacle is almost a generalized G-Itô process. The argument proceeds by solving a family of penalized single-reflected G-BSDEs (lower obstacle only) and passing to the monotone limit, employing G-BMO martingale estimates together with the G-Girsanov theorem to control the quadratic term. The resulting approximation is presented as a tool for linking the doubly reflected equation to fully nonlinear PDEs with double obstacles.

Significance. If the stated existence/uniqueness result holds, the work supplies a technically consistent extension of the G-framework from single-reflection and linear-growth cases to the doubly reflected quadratic setting. The monotone penalization scheme is a standard and useful device that directly supports the PDE connection claimed in the abstract. The explicit restriction on the upper obstacle is stated up front, avoiding hidden assumptions.

major comments (1)
  1. [§3] §3 (main existence theorem): the application of the G-Girsanov theorem to absorb the quadratic generator term requires verification that the G-BMO norm remains controlled after the measure change; the manuscript should supply the explicit estimate showing that the transformed process stays in G-BMO under the given obstacle hypothesis.
minor comments (2)
  1. [Abstract/Introduction] The abstract and introduction use the phrase 'almost a generalized G-Itô process' without a precise definition or reference to the exact integrability conditions; a short paragraph clarifying this notion (e.g., via the decomposition into G-Itô integral plus bounded variation term) would improve readability.
  2. [§2] Notation for the penalized processes (e.g., the penalty parameter and the reflected processes) should be introduced once in §2 and used consistently thereafter to avoid minor confusion in the limit passage.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the positive evaluation of the manuscript and for the constructive comment on the main existence theorem. We address the point below and will incorporate the requested verification in the revised version.

read point-by-point responses
  1. Referee: [§3] §3 (main existence theorem): the application of the G-Girsanov theorem to absorb the quadratic generator term requires verification that the G-BMO norm remains controlled after the measure change; the manuscript should supply the explicit estimate showing that the transformed process stays in G-BMO under the given obstacle hypothesis.

    Authors: We agree that an explicit estimate is required to rigorously justify the G-Girsanov transformation in the proof. In the revised manuscript we will insert a dedicated lemma (placed immediately before the application of G-Girsanov) that derives the bound on the G-BMO norm of the transformed process. The argument uses the standing hypothesis that the upper obstacle is nearly a generalized G-Itô process to control the additional drift terms generated by the measure change, thereby ensuring the quadratic generator remains integrable with respect to the new measure. This addition will make the passage from the penalized equations to the doubly reflected limit fully justified. revision: yes

Circularity Check

0 steps flagged

No significant circularity in derivation chain

full rationale

The paper's central result is an existence/uniqueness theorem for doubly reflected G-BSDEs with quadratic generator, obtained by solving a family of penalized single-obstacle equations and passing to the monotone limit under the explicit hypothesis that the upper obstacle is almost a generalized G-Itô process. The argument relies on G-BMO martingale estimates and the G-Girsanov theorem, which are invoked as established external tools from prior G-framework literature rather than being defined or fitted inside the present work. No step reduces the target statement to a self-defined quantity, a fitted input renamed as prediction, or a load-bearing self-citation chain; the obstacle restriction is stated upfront and the approximation technique is the standard device for double-obstacle problems. The derivation is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The paper rests on the pre-existing G-expectation framework and associated martingale theory without introducing new free parameters or postulated entities; the contribution is the extension of existence results to the quadratic doubly-reflected setting.

axioms (2)
  • domain assumption Existence and basic properties of G-Brownian motion and G-expectation
    Invoked as the driving noise and probability framework throughout.
  • domain assumption Theory of G-BMO martingales and G-Girsanov theorem
    Used to control the quadratic generator term and change of measure.

pith-pipeline@v0.9.0 · 5419 in / 1291 out tokens · 55311 ms · 2026-05-08T05:28:00.168399+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

42 extracted references · 42 canonical work pages

  1. [1]

    and El Karoui, N.: Reflected BSDEs, PDEs and variational inequalities.Preprint INRIA, (2002)

    Bally, V., Caballero, M.E., Fernandez, B. and El Karoui, N.: Reflected BSDEs, PDEs and variational inequalities.Preprint INRIA, (2002)

  2. [2]

    and Yao, S.: Quadratic reflected BSDEs with unbounded obstacles.Stoch

    Bayraktar, E. and Yao, S.: Quadratic reflected BSDEs with unbounded obstacles.Stoch. Process. Their Appl.122(4), (2012), 1155-1203

  3. [3]

    Briand, Ph and Confortola, F.: Quadratic BSDEs with random terminal time and elliptic PDEs in infinite dimension.Electron. J. Probab.13(54), (2008), 1529–1561

  4. [4]

    and Hu, Y.: BSDE with quadratic growth and unbounded terminal value.Probab

    Briand, Ph. and Hu, Y.: BSDE with quadratic growth and unbounded terminal value.Probab. Theory Relat. Field136(4), (2006), 604–618

  5. [5]

    and Hu, Y.: Quadratic BSDEs with convex generators and unbounded terminal conditions.Probab

    Briand, Ph. and Hu, Y.: Quadratic BSDEs with convex generators and unbounded terminal conditions.Probab. Theory Relat. Field141(3), (2008), 543–567

  6. [6]

    and Tang, S.: Reflected quadratic BSDEs driven by G-Brownian motions.Chin

    Cao, D. and Tang, S.: Reflected quadratic BSDEs driven by G-Brownian motions.Chin. Ann. Math. Ser. B41, (2020), 873-928

  7. [7]

    and Riedel, F.: Optimal stopping under ambiguity in continuous time.Math

    Cheng, X. and Riedel, F.: Optimal stopping under ambiguity in continuous time.Math. Financ. Econ.7, (2013), 29-68

  8. [8]

    and Lions, P.L.: User’s guide to the viscosity solutions of second order partial differential equations.Bull

    Crandall, M., Ishii, H. and Lions, P.L.: User’s guide to the viscosity solutions of second order partial differential equations.Bull. Amer. Math. Soc.27, (1992), 1-67

  9. [9]

    and Karatzas, I.: Backward stochastic differential equations with reflection and Dynkin games.Ann

    Cvitani´ c, J. and Karatzas, I.: Backward stochastic differential equations with reflection and Dynkin games.Ann. Probab.24(4), (1996), 2024-2056

  10. [10]

    and Peng, S.: Function spaces and capacity related to a sublinear expectation: application toG-Brownian motion pathes.Potential Anal.34, (2011), 139-161

    Denis, L., Hu, M. and Peng, S.: Function spaces and capacity related to a sublinear expectation: application toG-Brownian motion pathes.Potential Anal.34, (2011), 139-161

  11. [11]

    and Quenez, M.C.: Reflected solutions of backward SDE’s, and related obstacle problems for PDE’s.Ann

    El Karoui, N., Kapoudjian, C., Pardoux, E., Peng, S. and Quenez, M.C.: Reflected solutions of backward SDE’s, and related obstacle problems for PDE’s.Ann. Probab.23(2), (1997), 702-737

  12. [12]

    and Quenez, M.C.: Reflected backward SDEs and American op- tions.Numerical Methods in FinancePublications of the Newton Institute13, (1997), 215-231, Cambridge Univ

    El Karoui, N., Pardoux, E. and Quenez, M.C.: Reflected backward SDEs and American op- tions.Numerical Methods in FinancePublications of the Newton Institute13, (1997), 215-231, Cambridge Univ. Press, Cambridge

  13. [13]

    and Ji, S.: Ambiguous volatility and asset pricing in continuous time.Rev

    Epstein, L.G. and Ji, S.: Ambiguous volatility and asset pricing in continuous time.Rev. Financ. Stud.26, (2013), 1740–1786

  14. [14]

    and Ji, S.: Ambiguous volatility, possibility and utility in continuous time.J

    Epstein, L.G. and Ji, S.: Ambiguous volatility, possibility and utility in continuous time.J. Math. Econ.50, (2014), 269–282

  15. [15]

    and Hassani, M.: BSDEs with two reflecting barriers: the general result.Probab

    Hamadene, S. and Hassani, M.: BSDEs with two reflecting barriers: the general result.Probab. Theory Relat. Field132, (2005), 237-264. 33

  16. [16]

    and Song, Y.: Backward stochastic differential equations driven by G-Brownian motion.Stoch

    Hu, M., Ji, S., Peng, S. and Song, Y.: Backward stochastic differential equations driven by G-Brownian motion.Stoch. Process. Their Appl.124, (2014), 759-784

  17. [17]

    and Song, Y.: Comparison theorem, Feynman-Kac formula and Girsanov transformation for BSDEs driven byG-Brownian motion.Stoch

    Hu, M., Ji, S., Peng, S. and Song, Y.: Comparison theorem, Feynman-Kac formula and Girsanov transformation for BSDEs driven byG-Brownian motion.Stoch. Process. Their Appl.124, (2014), 1170-1195

  18. [18]

    and M¨ uller, M.: Utility maximization in incomplete markets.Ann

    Hu, Y., Imkeller, P. and M¨ uller, M.: Utility maximization in incomplete markets.Ann. Appl. Probab.15 (3), (2005), 1691–1712

  19. [19]

    and Soumana Hima, A.: Quadratic backward stochastic differential equations driven by G-Brownian motion: discrete solutions and approximation,Stoch

    Hu, Y., Lin, Y. and Soumana Hima, A.: Quadratic backward stochastic differential equations driven by G-Brownian motion: discrete solutions and approximation,Stoch. Process. Their Appl. 128(11), (2018), 3724-3750

  20. [20]

    and Tang, S.: Multi-dimensional backward stochastic differential equations of diagonally quadratic generators.Stoch

    Hu, Y. and Tang, S.: Multi-dimensional backward stochastic differential equations of diagonally quadratic generators.Stoch. Process. Their Appl.126(4), (2016), 1066-1086

  21. [21]

    and Wang, F.: Quadratic G-BSDEs with convex generators and unbounded terminal conditions.Stoch

    Hu, Y., Tang, S. and Wang, F.: Quadratic G-BSDEs with convex generators and unbounded terminal conditions.Stoch. Process. Their Appl.153, (2022), 363–390

  22. [22]

    Probab.28(2), (2000), 558-602

    Kobylanski, M.: Backward stochastic differential equations and partial differential equations with quadratic growth.Ann. Probab.28(2), (2000), 558-602

  23. [23]

    and Torres, S.: Reflected BSDE with superlinear quadratic coefficient.Prob

    Kobylanski, M., Lepeltier, J.P., Quenez, M.C. and Torres, S.: Reflected BSDE with superlinear quadratic coefficient.Prob. Math. Stat..22(1), (2002), 51-83

  24. [24]

    and Xu, M.: Reflected BSDE with quadratic growth and unbounded terminal value.arXiv:0711.0619, (2007)

    Lepeltier, J.P. and Xu, M.: Reflected BSDE with quadratic growth and unbounded terminal value.arXiv:0711.0619, (2007)

  25. [25]

    Li, H.: Optimal stopping underG-expectation.Probability, Uncertainty and Quantitative Risk 10(2), (2025), 265–292

  26. [26]

    and Ning, N.: Doubly reflected backward SDEs driven by G-Brownian motions and fully nonlinear PDEs with double obstacles.Stoch

    Li, H. and Ning, N.: Doubly reflected backward SDEs driven by G-Brownian motions and fully nonlinear PDEs with double obstacles.Stoch. Partial Differ. Equ.-Anal. Comput.13, (2025), 1279–1318

  27. [27]

    and Peng, S.: Reflected BSDE driven byG-Brownian motion with an upper obstacle

    Li, H. and Peng, S.: Reflected BSDE driven byG-Brownian motion with an upper obstacle. Stoch. Process. Their Appl.130, (2020), 6556-6579

  28. [28]

    and Soumana Hima, A.: Reflected Solutions of backward stochastic differential equations Driven byG-Brownian Motion.Sci

    Li, H., Peng, S. and Soumana Hima, A.: Reflected Solutions of backward stochastic differential equations Driven byG-Brownian Motion.Sci. China-Math.61(1), (2018), 1-26

  29. [29]

    and Song, Y.: Backward stochastic differential equations driven byG-Brownian motion with double reflections.J

    Li, H. and Song, Y.: Backward stochastic differential equations driven byG-Brownian motion with double reflections.J. Theor. Probab.34, (2021), 2285-2314

  30. [30]

    and Peng, S.: Stopping times and related Itˆ o’s calculus withG-Brownian motion.Stoch

    Li, X. and Peng, S.: Stopping times and related Itˆ o’s calculus withG-Brownian motion.Stoch. Process. Their Appl.121, (2011), 1492-1508

  31. [31]

    and Zhou, X.: A new risk-sensitive maximum principle.IEEE Trans

    Lim, A.E.B. and Zhou, X.: A new risk-sensitive maximum principle.IEEE Trans. Autom. Control 50(7), (2005), 958-966

  32. [32]

    and Tian, W.: A generalized stochastic differential utility driven byG-Brownian motion,Math

    Lin, Q., Tian, D. and Tian, W.: A generalized stochastic differential utility driven byG-Brownian motion,Math. Financ. Econ.14, (2020), 547–576

  33. [33]

    and Zhu, M.: Diagonally quadratic BSDE with oblique reflection and optimal switching

    Luo, P. and Zhu, M.: Diagonally quadratic BSDE with oblique reflection and optimal switching. Stoch. Process. Their Appl.176, (2024), 104424. 34

  34. [34]

    Stoch.13(1), (2009), 121-150

    Morlais, M.A.: Quadratic BSDEs driven by a continuous martingale and applications to the utility maximization problem.Financ. Stoch.13(1), (2009), 121-150

  35. [35]

    and Peng, S.: Adapted solution of a backward stochastic differential equation.Syst

    Pardoux, E. and Peng, S.: Adapted solution of a backward stochastic differential equation.Syst. Control Lett.14(1), (1990), 55-61

  36. [36]

    Peng, S.:G-expectation,G-Brownian Motion and Related Stochastic Calculus of Itˆ o type.Stoch. Process. Their Appl.2, (2007), 541-567

  37. [37]

    Peng, S: Multi-dimensionalG-Brownian motion and related stochastic calculus underG- expectation.Stoch. Process. Their Appl.118(12), (2008), 2223-2253

  38. [38]

    Peng, S: Nonlinear Expectations and Stochastic Calculus Under Uncertainty: With Robust CLT and G-Brownian Motion.Probability Theory and Stochastic Modelling95, (2019), Springer

  39. [39]

    and El Karoui, N.: Pricing via utility maximization and entropy.Math

    Rouge, R. and El Karoui, N.: Pricing via utility maximization and entropy.Math. Financ.,10(2), (2000), 259-276

  40. [40]

    Song, Y.: Some properties on G-evaluation and its applications to G-martingale decomposition. Sci. China-Math.54(2), (2011), 287-300

  41. [41]

    Vorbrink, J.: Financial markets with volatility uncertainty,J. Math. Econ.53, (2014), 64–78

  42. [42]

    and ˇZitkovi´ c, G.: A class of globally solvable Markovian quadratic BSDE systems and applications.Ann

    Xing, H. and ˇZitkovi´ c, G.: A class of globally solvable Markovian quadratic BSDE systems and applications.Ann. Probab.46, (2018), 491–550. 35