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The Stochastic Heat Equation with a Fractional-Colored Noise: Existence of the Solution

Probability · Submitted 3 Mar 2007

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our main result gives the necessary and sufficient condition on $H$ for the existence of the process solution.

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arXiv IDmath/0703088 (version 1)
Pith IDVJEBIUUO, Pith's permanent record of this paper and its review
CitationCiprian Tudor (CES, Raluca Balan, Samos). "The Stochastic Heat Equation with a Fractional-Colored Noise: Existence of the Solution." arXiv:math/0703088 (2007). https://pith.science/paper/VJEBIUUO
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,795 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.20 · human participants 0.01 · controlled comparison 0.14 · randomized assignment 0.01 · states quantitative result 0.95 · compares with prior results 0.94 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In this article we consider the stochastic heat equation $u_{t}-\Delta u=\dot B$ in $(0,T) \times \bR^d$, with vanishing initial conditions, driven by a Gaussian noise $\dot B$ which is fractional in time, with Hurst index $H \in (1/2,1)$, and colored in space, with spatial covariance given by a function $f$. Our main result gives the necessary and sufficient condition on $H$ for the existence of the process solution. When $f$ is the Riesz kernel of order $\alpha \in (0,d)$ this condition is $H>(d-\alpha)/4$, which is a relaxation of the condition $H>d/4$ encountered when the noise $\dot B$ is white in space. When $f$ is the Bessel kernel or the heat kernel, the condition remains $H>d/4$.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this article we consider the stochastic heat equation $u_{t}-\Delta u=\dot B$ in $(0,T) \times \bR^d$, with vanishing initial conditions, driven by a Gaussian noise $\dot B$ which is fractional in time, with Hurst index $H \in (1/2,1)$, and colored in space, with spatial covariance given by a function $f$. background 0.62 0.55 0.03 asserted 0.90
s1 Our main result gives the necessary and sufficient condition on $H$ for the existence of the process solution. result 0.70 0.94 0.90 asserted 1.00
s2 When $f$ is the Riesz kernel of order $\alpha \in (0,d)$ this condition is $H>(d-\alpha)/4$, which is a relaxation of the condition $H>d/4$ encountered when the noise $\dot B$ is white in space. result 0.99 0.86 0.36 asserted 1.00
s3 When $f$ is the Bessel kernel or the heat kernel, the condition remains $H>d/4$. result 1.00 0.87 0.05 asserted 1.00

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The paper
Original abstract

In this article we consider the stochastic heat equation $u_{t}-\Delta u=\dot B$ in $(0,T) \times \bR^d$, with vanishing initial conditions, driven by a Gaussian noise $\dot B$ which is fractional in time, with Hurst index $H \in (1/2,1)$, and colored in space, with spatial covariance given by a function $f$. Our main result gives the necessary and sufficient condition on $H$ for the existence of the process solution. When $f$ is the Riesz kernel of order $\alpha \in (0,d)$ this condition is $H>(d-\alpha)/4$, which is a relaxation of the condition $H>d/4$ encountered when the noise $\dot B$ is white in space. When $f$ is the Bessel kernel or the heat kernel, the condition remains $H>d/4$.

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