Every Hilbert space frame has a Naimark complement

Naimark complements for Hilbert space Parseval frames are one of the most fundamental and useful results in the field of frame theory. We will show that actually all Hilbert space frames have Naimark complements which possess all the usual properties for Naimark complements with one notable exception. So these complements can be used for equiangular frames, RIP property, fusion frames etc. Along the way, we will correct a mistake in a recent fusion frame paper where chordal distances for Naimark complements are computed incorrectly.Comment: Changes after Refereein

Every Hilbert space frame has a Naimark complement

Naimark complements for Hilbert space Parseval frames are one of the most fundamental and useful results in the field of frame theory. We will show that actually all Hilbert space frames have Naimark complements which possess all the usual properties for Naimark complements with one notable exception. So these complements can be used for equiangular frames, RIP property, fusion frames etc. Along the way, we will correct a mistake in a recent fusion frame paper where chordal distances for Naimark complements are computed incorrectly.Comment: Changes after Refereein

An elementary, illustrative proof of the Rado-Horn Theorem

The Rado-Horn theorem provides necessary and sufficient conditions for when a collection of vectors can be partitioned into a fixed number of linearly independent sets. Such partitions exist if and only if every subset of the vectors satisfies the so-called Rado-Horn inequality. Today there are at least six proofs of the Rado-Horn theorem, but these tend to be extremely delicate or require intimate knowledge of matroid theory. In this paper we provide an elementary proof of the Rado-Horn theorem as well as elementary proofs for several generalizations including results for the redundant case when the hypotheses of the Rado-Horn theorem fail. Another problem with the existing proofs of the Rado-Horn Theorem is that they give no information about how to actually partition the vectors. We start by considering a specific partition of the vectors, and the proof consists of showing that this is an optimal partition. We further show how certain structures we construct in the proof are at the heart of the Rado-Horn theorem by characterizing subsets of vectors which maximize the Rado-Horn inequality. Lastly, we demonsrate how these results may be used to select an optimal partition with respect to spanning properties of the vectors

Rethinking phylogeographic structure and historical refugia in the rufous-capped babbler Cyanoderma ruficeps in light of range-wide genetic sampling and paleodistributional reconstructions

Combining ecological niche modeling with phylogeography has become a popular approach to understand how historical climate changes have created and maintained population structure. However, methodological choices in geographic extents and environmental layer sets employed in modeling may affect results and interpretations profoundly. Here, we infer range-wide phylogeographic structure and model ecological niches of Cyanoderma ruficeps, and compare results to previous studies that examined this species across mainland China and Taiwan only. Use of dense taxon sampling of closely related species as outgroups question C. ruficeps monophyly. Furthermore, previously unsampled C. ruficeps populations from central Vietnam were closely related to disjunct western populations (Nepal, Tibet, Myanmar, Yunnan), rather than to geographically proximate populations in northern Vietnam and eastern China. Phylogeographic structure is more complex than previously appreciated; niche model projections to Last Glacial Maximum climate scenarios identified larger areas of suitable conditions than previous studies, but potential distributional limits differed markedly between climate models employed and were dependent upon interpretation of non-analogous historical climate scenarios. Previously identified population expansion across central China may result from colonization from refugial distributions during the Last Interglacial, rather than the Last Glacial Maximum, as previously understood

A multilaboratory comparison of calibration accuracy and the performance of external references in analytical ultracentrifugation

Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304 +/- 0.188) S (4.4%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of +/- 0.030 S (0.7%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies