Resolution limits of analytic continuation from imaginary-time data · revision history
Revision 2
Accepted · core change · record
Changes against revision 1:
- Title
- Resolution limits of analytic continuation from imaginary-time data
- Plain
- Most electron simulations work in imaginary time, and converting their output into measurable spectra is mathematically unstable: tiny noise allows wildly different answers. The best possible resolution for a given noise level, and a way to certify an answer, are not established.
- Precise · changed · core
- Revision 1: Given $G(\tau) = \operatorname{integral} \mathrm{d}w\, K(\tau, w) A(w)$ with $K = \operatorname{exp}(-\tau w)/(1 + \operatorname{exp}(-\beta w))$ on $0 \le \tau \le \beta$ and Gaussian noise of size $\sigma$, determine the optimal resolution of the spectral function $A(w)$ (minimal resolvable width and amplitude of a feature at frequency $w$) as a function of $\sigma, \beta \text{ and } w$, and construct estimators (maximum entropy, stochastic, Nevanlinna, Bayesian) with certified error bounds that reach it. An answer is proven bounds plus an estimator attaining them on benchmarks.
- Revision 2: Given $G(\tau) = \int \mathrm{d}w\, K(\tau, w) A(w)$ with $K = \exp(-\tau w)/(1 + \exp(-\beta w))$ on $0 \le \tau \le \beta$ and Gaussian noise of size $\sigma$, determine the optimal resolution of the spectral function $A(w)$ (minimal resolvable width and amplitude of a feature at frequency $w$) as a function of $\sigma, \beta \text{ and } w$, and construct estimators (maximum entropy, stochastic, Nevanlinna, Bayesian) with certified error bounds that reach it. An answer is proven bounds plus an estimator attaining them on benchmarks.
- Settled by
- A theorem bounding achievable resolution from below and an estimator whose certified intervals match that bound on test spectra.
- Kind
- well-posed
- Answer type
- proof
- References
- (empty)
- Literature status
- open
- Status note
- Nevanlinna interpolation (Fei, Yeh and Gull 2021) enforces causality exactly but gives no certified bounds for noisy data.
- Posed since
- (empty)
Decisions
- Accept · 2026-10-15 · record