Measure minimization conjecture for continuous frames

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

h=θτfh=\theta_\tau^*f

for some fL2(Ω,μ)f\in\mathcal{L}^2(\Omega,\mu) satisfying

μ(supp(f))<12(1+1supα,βΩ,αβτα,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

minimizeμ(supp(g)):gL2(Ω,μ)\operatorname{minimize}\\{\mu(\operatorname{supp}(g)):g\in\mathcal{L}^2(\Omega,\mu)\\}

subject to h=θτgh=\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.

Sources & referencesView supporting material

Primary source

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

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