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The continuum parabolic Anderson model with a half-Laplacian and periodic noise

Publication ,  Journal Article
Dunlap, A
Published in: Electronic Communications in Probability
September 17, 2020

We construct solutions of a renormalized continuum fractional parabolic Anderson model, formally given by $∂_tu = −(−∆)^{1/2} u + ξu$, where $ξ$ is a periodic spatial white noise. To be precise, we construct limits as $ε → 0$ of solutions of $∂_tu_ε = −(−∆)^{1/2}u_ε + (ξ_ε − C_ε)u_ε$, where $ξ_ε$ is a mollification of $ξ$ at scale $ε$ and $C_ε$ is a logarithmically diverging renormalization constant. We use a simple renormalization scheme based on that of Hairer and Labbé, “A simple construction of the continuum parabolic Anderson model on $\mathbf{R}^2$.”

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Published In

Electronic Communications in Probability

DOI

EISSN

1083-589X

Publication Date

September 17, 2020

Volume

25

Start / End Page

1 / 14

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics
 

Citation

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Dunlap, A. (2020). The continuum parabolic Anderson model with a half-Laplacian and periodic noise. Electronic Communications in Probability, 25, 1–14. https://doi.org/10.1214/20-ECP342
Dunlap, Alexander. “The continuum parabolic Anderson model with a half-Laplacian and periodic noise.” Electronic Communications in Probability 25 (September 17, 2020): 1–14. https://doi.org/10.1214/20-ECP342.
Dunlap A. The continuum parabolic Anderson model with a half-Laplacian and periodic noise. Electronic Communications in Probability. 2020 Sep 17;25:1–14.
Dunlap, Alexander. “The continuum parabolic Anderson model with a half-Laplacian and periodic noise.” Electronic Communications in Probability, vol. 25, Sept. 2020, pp. 1–14. Manual, doi:10.1214/20-ECP342.
Dunlap A. The continuum parabolic Anderson model with a half-Laplacian and periodic noise. Electronic Communications in Probability. 2020 Sep 17;25:1–14.

Published In

Electronic Communications in Probability

DOI

EISSN

1083-589X

Publication Date

September 17, 2020

Volume

25

Start / End Page

1 / 14

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics