IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v129y2019i12p5073-5112.html
   My bibliography  Save this article

Nonlinear stochastic time-fractional slow and fast diffusion equations on Rd

Author

Listed:
  • Chen, Le
  • Hu, Yaozhong
  • Nualart, David

Abstract

This paper studies the nonlinear stochastic partial differential equation of fractional orders both in space and time variables: ∂β+ν2(−Δ)α∕2u(t,x)=Itγρ(u(t,x))Ẇ(t,x),t>0,x∈Rd,where Ẇ is the space–time white noise, α∈(0,2], β∈(0,2), γ≥0 and ν>0. Fundamental solutions and their properties, in particular the nonnegativity, are derived. The existence and uniqueness of solution together with the moment bounds of the solution are obtained under Dalang’s condition: d<2α+αβmin(2γ−1,0). In some cases, the initial data can be measures. When β∈(0,1], we prove the sample path regularity of the solution.

Suggested Citation

  • Chen, Le & Hu, Yaozhong & Nualart, David, 2019. "Nonlinear stochastic time-fractional slow and fast diffusion equations on Rd," Stochastic Processes and their Applications, Elsevier, vol. 129(12), pages 5073-5112.
  • Handle: RePEc:eee:spapps:v:129:y:2019:i:12:p:5073-5112
    DOI: 10.1016/j.spa.2019.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030441491930047X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2019.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mijena, Jebessa B. & Nane, Erkan, 2015. "Space–time fractional stochastic partial differential equations," Stochastic Processes and their Applications, Elsevier, vol. 125(9), pages 3301-3326.
    2. Chen, Zhen-Qing & Kim, Kyeong-Hun & Kim, Panki, 2015. "Fractional time stochastic partial differential equations," Stochastic Processes and their Applications, Elsevier, vol. 125(4), pages 1470-1499.
    3. Chen, Le & Dalang, Robert C., 2015. "Moment bounds and asymptotics for the stochastic wave equation," Stochastic Processes and their Applications, Elsevier, vol. 125(4), pages 1605-1628.
    4. Debbi, Latifa & Dozzi, Marco, 2005. "On the solutions of nonlinear stochastic fractional partial differential equations in one spatial dimension," Stochastic Processes and their Applications, Elsevier, vol. 115(11), pages 1764-1781, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Junmei Wang & James Hoult & Yubin Yan, 2021. "Spatial Discretization for Stochastic Semi-Linear Subdiffusion Equations Driven by Fractionally Integrated Multiplicative Space-Time White Noise," Mathematics, MDPI, vol. 9(16), pages 1-38, August.
    2. Giordano, Luca M. & Jolis, Maria & Quer-Sardanyons, Lluís, 2020. "SPDEs with linear multiplicative fractional noise: Continuity in law with respect to the Hurst index," Stochastic Processes and their Applications, Elsevier, vol. 130(12), pages 7396-7430.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Asogwa, Sunday A. & Nane, Erkan, 2017. "Intermittency fronts for space-time fractional stochastic partial differential equations in (d+1) dimensions," Stochastic Processes and their Applications, Elsevier, vol. 127(4), pages 1354-1374.
    2. Zou, Guang-an & Lv, Guangying & Wu, Jiang-Lun, 2018. "On the regularity of weak solutions to space–time fractional stochastic heat equations," Statistics & Probability Letters, Elsevier, vol. 139(C), pages 84-89.
    3. Sweilam, N.H. & El-Sakout, D.M. & Muttardi, M.M., 2020. "Numerical study for time fractional stochastic semi linear advection diffusion equations," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    4. McSylvester Ejighikeme Omaba & Hamdan Al Sulaimani, 2022. "On Caputo–Katugampola Fractional Stochastic Differential Equation," Mathematics, MDPI, vol. 10(12), pages 1-12, June.
    5. Omaba, McSylvester Ejighikeme, 2021. "Growth moment, stability and asymptotic behaviours of solution to a class of time-fractal-fractional stochastic differential equation," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
    6. Junmei Wang & James Hoult & Yubin Yan, 2021. "Spatial Discretization for Stochastic Semi-Linear Subdiffusion Equations Driven by Fractionally Integrated Multiplicative Space-Time White Noise," Mathematics, MDPI, vol. 9(16), pages 1-38, August.
    7. Wu, Dongsheng, 2011. "On the solution process for a stochastic fractional partial differential equation driven by space-time white noise," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1161-1172, August.
    8. Beghin, Luisa, 2018. "Fractional diffusion-type equations with exponential and logarithmic differential operators," Stochastic Processes and their Applications, Elsevier, vol. 128(7), pages 2427-2447.
    9. Kumar, Vivek, 2022. "Stochastic fractional heat equation perturbed by general Gaussian and non-Gaussian noise," Statistics & Probability Letters, Elsevier, vol. 184(C).
    10. Dalang, Robert C. & Pu, Fei, 2021. "Optimal lower bounds on hitting probabilities for non-linear systems of stochastic fractional heat equations," Stochastic Processes and their Applications, Elsevier, vol. 131(C), pages 359-393.
    11. Yanmei Liu & Monzorul Khan & Yubin Yan, 2016. "Fourier Spectral Methods for Some Linear Stochastic Space-Fractional Partial Differential Equations," Mathematics, MDPI, vol. 4(3), pages 1-28, July.
    12. Liu, Xinfei & Yang, Xiaoyuan, 2023. "Numerical approximation of the stochastic equation driven by the fractional noise," Applied Mathematics and Computation, Elsevier, vol. 452(C).
    13. Tuan, Nguyen Huy & Caraballo, Tomás & Thach, Tran Ngoc, 2023. "New results for stochastic fractional pseudo-parabolic equations with delays driven by fractional Brownian motion," Stochastic Processes and their Applications, Elsevier, vol. 161(C), pages 24-67.
    14. Junfeng Liu, 2023. "Moment Bounds for a Generalized Anderson Model with Gaussian Noise Rough in Space," Journal of Theoretical Probability, Springer, vol. 36(1), pages 167-200, March.
    15. Wael W. Mohammed & Farah M. Al-Askar & Clemente Cesarano & M. El-Morshedy, 2022. "The Optical Solutions of the Stochastic Fractional Kundu–Mukherjee–Naskar Model by Two Different Methods," Mathematics, MDPI, vol. 10(9), pages 1-10, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:spapps:v:129:y:2019:i:12:p:5073-5112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.