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Boundary observation and control for fractional heat and wave equations

U. Biccari, E. Zuazua (2025) Boundary observation and control for fractional heat and wave equations, https://doi.org/10.48550/arXiv.2504.17413

Abstract. We establish boundary observability and control for the fractional heat equation over arbitrary time horizons T>0, within the optimal range of fractional exponents s∈(1/2,1). Our approach introduces a novel synthesis of techniques from fractional partial differential equations and control theory, combining several key ingredients in an original and effective manner:
1. Boundary observability for low-frequency solutions of the fractional wave equation. We begin by analyzing the associated fractional wave equation. Using a fractional analogue of Pohozaev’s identity, we establish a partial boundary observability result for the low-frequency solutions. The corresponding observability time horizon increases with the eigenmode frequency, reflecting the inherently slower propagation speed of the fractional waves.
2. Transmutation to the parabolic setting. Using transmutation techniques, we transfer the observability results from the wave setting to the parabolic one. This yields a frequency-dependent observability inequality for the fractional heat equation, which – via duality – enables control of its low-frequency components.
3. Frequency-wise iteration. Leveraging the dissipative nature of the fractional heat equation, we develop an iterative procedure to successively control the entire frequency spectrum of solutions. The condition s∈(1/2,1) is crucial in this analysis, as it guarantees sufficient decay of high-frequency components, enabling the convergence of the iteration.
4. Duality. By a duality argument, we derive boundary observability from the boundary controllability of the fractional heat equation. Remarkably, this type of boundary observability result is entirely new in the multi-dimensional setting and appears to be out of reach for existing methods.

arxiv: 2504.17413

  • DeustoCCM Seminar: Energy spectra for Light-Matter Interactions
  • NUS Colloquium Series: Machine Learning and Learning Systems by E. Zuazua
  • Springer Nature – Celebrating Enrique Zuazua at 65: Control, PDEs and Machine Learning
  • DeustoCCM Seminar: Controllability and Synchronization of Coupled Wave Equations
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