Generalized GLT spectral-distribution conjecture for ALIF iteration matrices

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Let kk be an even, non-negative, bounded, compactly supported measurable function with ∣k∣1=1\\|k\\|_1=1, supported on [−1,1][-1,1], and let L(x)L(x) be strictly positive on [0,1][0,1]. Define

fj(x):=k(j/L(x))L(x).f_j(x):=\frac{k(j/L(x))}{L(x)}.

Suppose that fjf_j is Riemann-integrable over [0,1][0,1] for every j∈Zj\in\mathbb Z. For

κ(x,θ):=1L(x)∑j∈Zk(jL(x))ei⁡jθ,\kappa(x,\theta):=\frac{1}{L(x)}\sum_{j\in\mathbb Z}k\left(\frac{j}{L(x)}\right)e^{\operatorname{i}j\theta},

and the ALIF iteration matrices KnK_n, the generalized GLT spectral-distribution conjecture asserts that

{Kn}n∼GLT,σ,λκ(x,θ).\{K_n\}_n\sim_{\mathrm{GLT},\sigma,\lambda}\kappa(x,\theta).

This conjecture would extend the known result for step-function LL or continuous kk and LL with L(x)≥L∗>0L(x)\geq L_*>0; it concerns the asymptotic spectral and singular-value distribution of the ALIF iteration matrices under the weaker Riemann-integrability hypothesis.

References

Primary source

Giovanni Barbarino and Antonio Cicone, “Conjectures on spectral properties of ALIF algorithm”, arXiv:2009.00582 (2022).

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