pith. sign in

arxiv: 2310.18726 · v3 · pith:X4MGSNDJnew · submitted 2023-10-28 · 🧮 math.PR

Stochastic partial differential equations associated with Feller processes

Pith reviewed 2026-05-24 06:32 UTC · model grok-4.3

classification 🧮 math.PR
keywords stochastic partial differential equationsFeller processesFeynman-Kac representationsStratonovich solutionsSkorohod solutionscolored Gaussian noiseHölder continuityregularity of laws
0
0 comments X

The pith

Feynman-Kac representations are derived for Stratonovich and Skorohod solutions of SPDEs with Feller process generators and time-colored Gaussian noise.

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

The paper examines the stochastic partial differential equation where the time derivative of the solution equals the action of the generator on the solution plus the solution multiplied by the noise. The noise is Gaussian and colored in time while the generator is that of a Feller process. Feynman-Kac type representations are obtained for the Stratonovich and Skorohod solutions as well as for their moments. The regularity properties of the law of the solution and its Hölder continuity are also investigated. A sympathetic reader would care because the representations tie the SPDE directly to path expectations over the Feller process and thereby supply a probabilistic route to analyzing existence, moments, and smoothness.

Core claim

For the SPDE ∂u/∂t = ℒu + uẆ where Ẇ denotes Gaussian noise colored in time and ℒ is the infinitesimal generator of a Feller process X, Feynman-Kac type representations are obtained for the Stratonovich and Skorohod solutions together with their moments. The regularity of the law and the Hölder continuity of the solutions are also studied.

What carries the argument

Feynman-Kac type representations that express the SPDE solutions and moments through expectations involving paths of the Feller process X and the driving noise.

Load-bearing premise

The SPDE admits well-defined Stratonovich and Skorohod solutions when the driving noise is Gaussian and colored in time and when the spatial operator is the generator of a Feller process.

What would settle it

An explicit closed-form solution computed for the SPDE when the Feller process is standard Brownian motion, checked directly against the proposed representation for mismatch in the Stratonovich or Skorohod case.

read the original abstract

For the stochastic partial differential equation $\frac{\partial u}{\partial t}=\mathcal L u +u\dot W$ where $\dot W$ is Gaussian noise colored in time and $\mathcal L$ is the infinitesimal generator of a Feller process $X$, we obtain Feynman-Kac type of representations for the Stratonovich and Skorohod solutions as well as for their moments. The regularity of the law and the H\"older continuity of the solutions are also studied.

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

2 major / 2 minor

Summary. The manuscript claims to obtain Feynman-Kac type representations for the Stratonovich and Skorohod solutions (and their moments) to the SPDE ∂u/∂t = ℒu + uẆ, where Ẇ is Gaussian noise colored in time and ℒ is the generator of a Feller process X; it further studies the regularity of the law and Hölder continuity of the solutions.

Significance. If the existence of the solutions can be established under explicit conditions and the representations are rigorously derived, the work would connect SPDE theory with Feller semigroups in a useful way, potentially enabling semigroup-based analysis of moments and path regularity for colored-noise driven equations.

major comments (2)
  1. [Introduction / Setup] The central claims presuppose that the SPDE admits well-defined Stratonovich and Skorohod solutions for general Feller generators ℒ and the given time-colored Gaussian noise, yet no conditions on the semigroup or covariance are derived or cited to guarantee existence; this renders the representations and all subsequent regularity results conditional (see the setup preceding the main theorems).
  2. [Main results section (representations)] The Feynman-Kac representations for the solutions and moments are stated without accompanying verification steps, error bounds, or explicit use of the Feller property in the derivations; the absence of these controls makes it impossible to assess whether the representations hold independently of the existence assumption.
minor comments (2)
  1. [Preliminaries] Notation for the noise Ẇ and the precise definition of the Stratonovich vs. Skorohod integrals should be introduced with explicit references to the underlying probability space early in the paper.
  2. [Regularity results] The statement of Hölder continuity results would benefit from a clear statement of the Hölder exponents in terms of the noise regularity parameters.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and the constructive comments. Below we address each major comment point by point. We agree that the assumptions on existence need to be stated more explicitly and that the derivations would benefit from additional detail; we will revise accordingly.

read point-by-point responses
  1. Referee: [Introduction / Setup] The central claims presuppose that the SPDE admits well-defined Stratonovich and Skorohod solutions for general Feller generators ℒ and the given time-colored Gaussian noise, yet no conditions on the semigroup or covariance are derived or cited to guarantee existence; this renders the representations and all subsequent regularity results conditional (see the setup preceding the main theorems).

    Authors: We acknowledge that the manuscript presupposes existence of the Stratonovich and Skorohod solutions and does not derive new existence criteria. The setup relies on standard conditions from the SPDE literature for equations driven by time-colored Gaussian noise (typically Hölder regularity of the covariance in time and suitable growth/boundedness assumptions on the Feller semigroup). We will revise the introduction and the setup section preceding the main theorems to cite the relevant existence results explicitly and to list the precise conditions on the covariance and on ℒ under which the solutions are assumed to exist. This will clarify that the representations and regularity statements are conditional on those hypotheses. revision: yes

  2. Referee: [Main results section (representations)] The Feynman-Kac representations for the solutions and moments are stated without accompanying verification steps, error bounds, or explicit use of the Feller property in the derivations; the absence of these controls makes it impossible to assess whether the representations hold independently of the existence assumption.

    Authors: The derivations invoke the Feller property via the Markov semigroup generated by ℒ and the pathwise properties of the underlying Feller process X to express the solutions as expectations. Nevertheless, we agree that the verification steps are presented too concisely and that explicit error bounds are missing. In the revised version we will expand the proofs in the main results section to include the intermediate approximation steps, the precise invocation of the Feller semigroup, and the error estimates needed to justify passing to the limit, thereby making the dependence on the existence assumption transparent. revision: yes

Circularity Check

0 steps flagged

No significant circularity; representations are conditional on assumed existence

full rationale

The paper assumes well-defined Stratonovich and Skorohod solutions exist for the given SPDE driven by time-colored Gaussian noise and Feller generator ℒ, then derives Feynman-Kac representations for those solutions and their moments along with regularity results. No step reduces a claimed prediction or representation to a fitted parameter or self-referential definition by construction, nor does any load-bearing premise rest solely on a self-citation chain. The derivation chain is self-contained once the existence assumption is granted; the conditional nature of the results is a limitation on scope rather than circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

Ledger inferred from abstract only; full paper likely invokes standard properties of Feller semigroups and stochastic integrals.

axioms (2)
  • standard math Feller processes possess strongly continuous contraction semigroups on the space of continuous functions vanishing at infinity
    Standard background fact for the generator ℒ in the SPDE.
  • domain assumption The driving noise is a centered Gaussian process that is colored in time
    Explicitly stated in the SPDE setup.

pith-pipeline@v0.9.0 · 5592 in / 1298 out tokens · 26717 ms · 2026-05-24T06:32:38.473242+00:00 · methodology

discussion (0)

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

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

46 extracted references · 46 canonical work pages

  1. [1]

    Raluca M. Balan. The stochastic wave equation with multi plicative fractional noise: a Malliavin calculus ap- proach. Potential Anal. , 36(1):1–34, 2012

  2. [2]

    Balan, Le Chen, and Xia Chen

    Raluca M. Balan, Le Chen, and Xia Chen. Exact asymptotics of the stochastic wave equation with time- independent noise. Ann. Inst. Henri Poincar´ e Probab. Stat., 58(3):1590–1620, 2022

  3. [3]

    Balan, Llu ´ ıs Quer-Sardanyons, and Jian Song

    Raluca M. Balan, Llu ´ ıs Quer-Sardanyons, and Jian Song. Existence of density for the stochastic wave equation with space-time homogeneous Gaussian noise. Electron. J. Probab. , 24:Paper No. 106, 43, 2019

  4. [4]

    Balan, Llu ´ ıs Quer-Sardanyons, and Jian Song

    Raluca M. Balan, Llu ´ ıs Quer-Sardanyons, and Jian Song. H¨ older continuity for the parabolic Anderson model with space-time homogeneous Gaussian noise. Acta Math. Sci. Ser. B (Engl. Ed.) , 39(3):717–730, 2019

  5. [5]

    Balan and Jian Song

    Raluca M. Balan and Jian Song. Second order Lyapunov expo nents for parabolic and hyperbolic Anderson models. Bernoulli, 25(4A):3069–3089, 2019

  6. [6]

    Malliavin calculus for w hite noise driven parabolic SPDEs

    Vlad Bally and Etienne Pardoux. Malliavin calculus for w hite noise driven parabolic SPDEs. Potential Anal. , 9(1):27–64, 1998. 42 J. SONG, M. W ANG, AND W. YUAN

  7. [7]

    Dirichlet forms and analysis on Wiener space , volume 14 of De Gruyter Studies in Mathematics

    Nicolas Bouleau and Francis Hirsch. Dirichlet forms and analysis on Wiener space , volume 14 of De Gruyter Studies in Mathematics . Walter de Gruyter & Co., Berlin, 1991

  8. [8]

    Carmona and S

    Ren´ e A. Carmona and S. A. Molchanov. Parabolic Anderson problem and intermittency. Mem. Amer. Math. Soc., 108(518):viii+125, 1994

  9. [9]

    Le Chen and Robert C. Dalang. Moments and growth indices f or the nonlinear stochastic heat equation with rough initial conditions. Ann. Probab., 43(6):3006–3051, 2015

  10. [10]

    Moments and asymptoti cs for a class of spdes with space-time white noise

    Le Chen, Yuhui Guo, and Jian Song. Moments and asymptoti cs for a class of spdes with space-time white noise. arXiv preprint arXiv:2206.10069 , 2022

  11. [11]

    Comparison principle for stoc hastic heat equation on Rd

    Le Chen and Jingyu Huang. Comparison principle for stoc hastic heat equation on Rd. The Annals of Probability , 47(2):989–1035, 2019

  12. [12]

    Tem poral asymptotics for fractional parabolic Anderson model

    Xia Chen, Yaozhong Hu, Jian Song, and Xiaoming Song. Tem poral asymptotics for fractional parabolic Anderson model. Electron. J. Probab. , 23:Paper No. 14, 39, 2018

  13. [13]

    Exponent ial asymptotics for time-space Hamiltonians

    Xia Chen, Yaozhong Hu, Jian Song, and Fei Xing. Exponent ial asymptotics for time-space Hamiltonians. Ann. Inst. Henri Poincar´ e Probab. Stat., 51(4):1529–1561, 2015

  14. [14]

    Small deviation for the mutual in tersection local time of brownian motions

    Xia Chen and Jian Song. Small deviation for the mutual in tersection local time of brownian motions. arXiv:2404.09333, 2024

  15. [15]

    Intermittency and chaos for a nonlinear stochastic wave equation in dimension 1

    Daniel Conus, Mathew Joseph, Davar Khoshnevisan, and S hang-Yuan Shiu. Intermittency and chaos for a nonlinear stochastic wave equation in dimension 1. In Malliavin calculus and stochastic analysis , volume 34 of Springer Proc. Math. Stat. , pages 251–279. Springer, New York, 2013

  16. [16]

    Stochastic equations in infinite dimensions , volume 44 of Encyclopedia of Mathematics and its Applications

    Giuseppe Da Prato and Jerzy Zabczyk. Stochastic equations in infinite dimensions , volume 44 of Encyclopedia of Mathematics and its Applications . Cambridge University Press, Cambridge, 1992

  17. [17]

    A minicourse on stochastic partial differential equations , volume 1962 of Lecture Notes in Mathematics

    Robert Dalang, Davar Khoshnevisan, Carl Mueller, Davi d Nualart, and Yimin Xiao. A minicourse on stochastic partial differential equations , volume 1962 of Lecture Notes in Mathematics . Springer-Verlag, Berlin, 2009. Held at the University of Utah, Salt Lake City, UT, May 8–19, 2006, Edited by Khoshnevisan and Firas Rassoul-Agha

  18. [18]

    Robert C. Dalang. Extending the martingale measure sto chastic integral with applications to spatially homoge- neous s.p.d.e.’s. Electron. J. Probab. , 4:no. 6, 29, 1999

  19. [19]

    On the (strict) positivity of solutions of the stochastic heat equation

    Gregorio R Moreno Flores. On the (strict) positivity of solutions of the stochastic heat equation. Annals of probability: An official journal of the Institute of Mathemat ical Statistics , 42(4):1635–1643, 2014

  20. [20]

    Intermitten ce and nonlinear parabolic stochastic partial differ- ential equations

    Mohammud Foondun and Davar Khoshnevisan. Intermitten ce and nonlinear parabolic stochastic partial differ- ential equations. Electron. J. Probab. , 14:no. 21, 548–568, 2009

  21. [21]

    Partial differential equations of parabolic type

    Avner Friedman. Partial differential equations of parabolic type . Courier Dover Publications, 2008

  22. [22]

    KPZ rel oaded

    Massimiliano Gubinelli and Nicolas Perkowski. KPZ rel oaded. Communications in Mathematical Physics , 349:165–269, 2017

  23. [23]

    Analysis on Gaussian spaces

    Yaozhong Hu. Analysis on Gaussian spaces . World Scientific, 2016

  24. [24]

    Some recent progress on stochastic heat eq uations

    Yaozhong Hu. Some recent progress on stochastic heat eq uations. Acta Math. Sci. Ser. B (Engl. Ed.) , 39(3):874– 914, 2019

  25. [25]

    Stochastic heat equations with general multi- plicative Gaussian noises: H¨ older continuity and intermi ttency

    Yaozhong Hu, Jingyu Huang, David Nualart, and Samy Tind el. Stochastic heat equations with general multi- plicative Gaussian noises: H¨ older continuity and intermi ttency. Electron. J. Probab. , 20:no. 55, 50, 2015

  26. [26]

    Joint H¨ older continuity of parabolic Anderson model

    Yaozhong Hu and Khoa Lˆ e. Joint H¨ older continuity of parabolic Anderson model. Acta Math. Sci. Ser. B (Engl. Ed.), 39(3):764–780, 2019

  27. [27]

    Stochastic heat equatio n driven by fractional noise and local time

    Yaozhong Hu and David Nualart. Stochastic heat equatio n driven by fractional noise and local time. Probab. Theory Related Fields , 143(1-2):285–328, 2009

  28. [28]

    Feynman-Kac formula for heat equation driven by fractional white noise

    Yaozhong Hu, David Nualart, and Jian Song. Feynman-Kac formula for heat equation driven by fractional white noise. Ann. Probab., 39(1):291–326, 2011

  29. [29]

    A nonlinear s tochastic heat equation: H¨ older continuity and smoothness of the density of the solution

    Yaozhong Hu, David Nualart, and Jian Song. A nonlinear s tochastic heat equation: H¨ older continuity and smoothness of the density of the solution. Stochastic Process. Appl. , 123(3):1083–1103, 2013

  30. [30]

    Backward stochastic differe ntial equation driven by fractional brownian motion

    Yaozhong Hu and Shige Peng. Backward stochastic differe ntial equation driven by fractional brownian motion. SIAM Journal on Control and Optimization , 48(3):1675–1700, 2009

  31. [31]

    Large time as ymptotics for the parabolic Anderson model driven by spatially correlated noise

    Jingyu Huang, Khoa Lˆ e, and David Nualart. Large time as ymptotics for the parabolic Anderson model driven by spatially correlated noise. Ann. Inst. Henri Poincar´ e Probab. Stat., 53(3):1305–1340, 2017

  32. [32]

    Analysis of stochastic partial differential equations , volume 119

    Davar Khoshnevisan. Analysis of stochastic partial differential equations , volume 119. American Mathematical Soc., 2014

  33. [33]

    Exponential moments for the re normalized self-intersection local time of planar Brownia n motion

    Jean-Fran¸ cois Le Gall. Exponential moments for the re normalized self-intersection local time of planar Brownia n motion. In S´ eminaire de Probabilit´ es, XXVIII, volume 1583 of Lecture Notes in Math. , pages 172–180. Springer, Berlin, 1994

  34. [34]

    Thomas M. Liggett. Continuous time Markov processes , volume 113 of Graduate Studies in Mathematics . Amer- ican Mathematical Society, Providence, RI, 2010. An introd uction. SPDES ASSOCIATED WITH FELLER PROCESSES 43

  35. [35]

    Skorohod integratio n and stochastic calculus beyond the fractional Brownian scale

    Oana Mocioalca and Frederi Viens. Skorohod integratio n and stochastic calculus beyond the fractional Brownian scale. J. Funct. Anal. , 222(2):385–434, 2005

  36. [36]

    On the support of solutions to the heat equ ation with noise

    Carl Mueller. On the support of solutions to the heat equ ation with noise. Stochastics: An International Journal of Probability and Stochastic Processes , 37(4):225–245, 1991

  37. [37]

    Regularity of the densi ty for the stochastic heat equation

    Carl Mueller and David Nualart. Regularity of the densi ty for the stochastic heat equation. Electron. J. Probab., 13:no. 74, 2248–2258, 2008

  38. [38]

    The Malliavin calculus and related topics

    David Nualart. The Malliavin calculus and related topics . Probability and its Applications (New York). Springer- Verlag, Berlin, second edition, 2006

  39. [39]

    The Malliavin calculus and related topics , volume 1995

    David Nualart. The Malliavin calculus and related topics , volume 1995. Springer, 2006

  40. [40]

    Existence a nd smoothness of the density for spatially homogeneous SPDEs

    David Nualart and Llu ´ ıs Quer-Sardanyons. Existence a nd smoothness of the density for spatially homogeneous SPDEs. Potential Anal. , 27(3):281–299, 2007

  41. [41]

    Absolute continuity of t he law of the solution of a parabolic SPDE

    ´Etienne Pardoux and Tu Sheng Zhang. Absolute continuity of t he law of the solution of a parabolic SPDE. J. Funct. Anal., 112(2):447–458, 1993

  42. [42]

    Springer, Berlin, 2007

    Claudia Pr´ evˆ ot and Michael R¨ ockner.A concise course on stochastic partial differential equation s, volume 1905 of Lecture Notes in Mathematics . Springer, Berlin, 2007

  43. [43]

    Scaling limit o f a long-range random walk in time-correlated random environment

    Guanglin Rang, Jian Song, and Meng Wang. Scaling limit o f a long-range random walk in time-correlated random environment. arXiv preprint arXiv:2210.01009 , 2023

  44. [44]

    On a class of stochastic partial differential equations

    Jian Song. On a class of stochastic partial differential equations. Stochastic Process. Appl. , 127(1):37–79, 2017

  45. [45]

    SPDEs with pseudodifferential generators : the existence of a density

    Samy Tindel. SPDEs with pseudodifferential generators : the existence of a density. Appl. Math. (Warsaw) , 27(3):287–308, 2000

  46. [46]

    John B. Walsh. An introduction to stochastic partial di fferential equations. In ´Ecole d’´ et´ e de probabilit´ es de Saint-Flour, XIV—1984 , volume 1180 of Lecture Notes in Math. , pages 265–439. Springer, Berlin, 1986. Research Center for Mathematics and Interdisciplinary Sci ences, Shandong University, China Email address : txjsong@sdu.edu.cn School of...