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PreprintarXiv licencearXiv

Zero-SNR Analyticity of the Scalar MMSE Is Equivalent to Gaussianity

Abstract

Let Ys=√sX+Z, where Z is standard Gaussian and independent of the real random variable X. We prove that, under the square-exponential moment condition 𝔼eβX2<∞ for some β>0, the scalar minimum mean-square error mmseX(s) is analytic at zero signal-to-noise ratio if and only if X is Gaussian, with constant random variables included as degenerate Gaussians. The proof converts estimation in the Gaussian channel into a backward heat flow acting on the moment-generating function M(z)=𝔼ezX. Under the stated tail condition, every non-Gaussian input forces M to have a nonzero complex zero. We show that each zero cluster produces a finite singularity in its localized Borel transform at the action ξ=z02/2. After removing the action scale, the Borel coefficients have a nonzero n−1/2 prefactor for a simple zero. A zero of multiplicity m≥ 2 splits according to the roots of a Hermite polynomial and instead contributes a prefactor n−m/2erm√(2n). A finite-disc localization and relative-cycle continuation argument then show that at least one such singularity survives in the full Borel transform. Thus, for every non-Gaussian input in the stated class, the formal zero-SNR expansion is Gevrey-1 but divergent. Rational-MMSE rigidity and the analogous analyticity criterion for mutual information follow as corollaries.

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BibTeX
@misc{zhang2026zerosnr,
  title = {{Zero-SNR Analyticity of the Scalar MMSE Is Equivalent to Gaussianity}},
  author = {Yixing Zhang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.15048},
  eprint = {2609.15048},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.15048},
}
RIS
TY  - UNPB
TI  - Zero-SNR Analyticity of the Scalar MMSE Is Equivalent to Gaussianity
AU  - Yixing Zhang
PY  - 2026
DA  - 2026/09/14
PB  - arXiv
DO  - 10.48550/arxiv.2609.15048
UR  - https://arxiv.org/abs/2609.15048
AB  - Let Y_s=√sX+Z, where Z is standard Gaussian and independent of the real random variable X. We prove that, under the square-exponential moment condition 𝔼e^βX^2<∞ for some β>0, the scalar minimum mean-square error mmse_X(s) is analytic at zero signal-to-noise ratio if and only if X is Gaussian, with constant random variables included as degenerate Gaussians. The proof converts estimation in the Gaussian channel into a backward heat flow acting on the moment-generating function M(z)=𝔼e^zX. Under the stated tail condition, every non-Gaussian input forces M to have a nonzero complex zero. We show that each zero cluster produces a finite singularity in its localized Borel transform at the action ξ=z_0^2/2. After removing the action scale, the Borel coefficients have a nonzero n^−1/2 prefactor for a simple zero. A zero of multiplicity m≥ 2 splits according to the roots of a Hermite polynomial and instead contributes a prefactor n^−m/2e^r_m√(2n). A finite-disc localization and relative-cycle continuation argument then show that at least one such singularity survives in the full Borel transform. Thus, for every non-Gaussian input in the stated class, the formal zero-SNR expansion is Gevrey-1 but divergent. Rational-MMSE rigidity and the analogous analyticity criterion for mutual information follow as corollaries.
ER  -