Abstract
In this article, we consider the stochastic wave equation in spatial dimension d = 1, with linear term σ (u) = u multiplying the noise. This equation is driven by a Gaussian noise which is white in time and fractional in space with Hurst index H ε (¼, ½). First, we prove that the solution is strictly stationary and ergodic in the spatial variable. Then, we show that with proper normalization and centering, the spatial average of the solution converges to the standard normal distribution, and we estimate the rate of this convergence in the total variation distance. We also prove the corresponding functional convergence result.
Original language | English |
---|---|
Article number | 104569 |
Number of pages | 22 |
Journal | Stochastic Processes and their Applications |
Volume | 182 |
Early online date | 16 Jan 2025 |
DOIs | |
Publication status | Published - Apr 2025 |
Keywords
- Stochastic wave equation
- Rough noise
- Malliavin calculus
- Stein’s method