Measure minimization conjecture for continuous frames

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Let (Ω,μ)(\Omega, \mu) be a measure space, let H\mathcal{H} be a Hilbert space, and let ταα∈Ω\\{\tau_\alpha\\}_{\alpha\in\Omega} be a continuous frame for H\mathcal{H} with synthesis operator θτ∗\theta_\tau^*. For h∈Hh\in\mathcal{H}, suppose that

h=θτ∗fh=\theta_\tau^*f

for some f∈L2(Ω,μ)f\in\mathcal{L}^2(\Omega,\mu) satisfying

μ(supp⁡(f))<12(1+1sup⁡α,β∈Ω,α≠β∣⟨τα,τβ⟩∣).\mu(\operatorname{supp}(f))<\frac{1}{2}\left(1+\frac{1}{\displaystyle\sup_{\alpha,\beta\in\Omega,\alpha\neq\beta}|\langle\tau_\alpha,\tau_\beta\rangle|}\right).

Measure minimization conjecture. Then ff is the unique solution of

minimize⁡μ(supp⁡(g)):g∈L2(Ω,μ)\operatorname{minimize}\\{\mu(\operatorname{supp}(g)):g\in\mathcal{L}^2(\Omega,\mu)\\}

subject to h=θτ∗gh=\theta_\tau^*g.

This conjecture extends the Donoho–Elad sparsity theorem from finite frames and discrete coefficient support to continuous frames and measure of coefficient support. Its status is not established by the supplied text.

References

Primary source

K. Mahesh Krishna, “Functional Continuous Uncertainty Principle”, arXiv:2308.00312 (2023).

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