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arxiv: 1506.06937 · v3 · pith:5USS3CL7new · submitted 2015-06-23 · 🧮 math.AP · math.OC

A deterministic optimal design problem for the heat equation

classification 🧮 math.AP math.OC
keywords heatequationmathbbobservabilityomegaoptimalpacketsproblem
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For the heat equation on a bounded subdomain $\Omega$ of $\mathbb{R}^d$, we investigate the optimal shape and location of the observation domain in observability inequalites. A new decomposition of $L^2(\mathbb{R}^d)$ into heat packets allows us to remove the randomisation procedure and assumptions on the geometry of $\Omega$ in previous works. The explicit nature of the heat packets gives new information about the observability constant in the inverse problem.

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