TY - JOUR
AB - We consider higher-dimensional generalizations of the normalized Laplacian and the adjacency matrix of graphs and study their eigenvalues for the Linial–Meshulam model Xk(n, p) of random k-dimensional simplicial complexes on n vertices. We show that for p = Ω(logn/n), the eigenvalues of each of the matrices are a.a.s. concentrated around two values. The main tool, which goes back to the work of Garland, are arguments that relate the eigenvalues of these matrices to those of graphs that arise as links of (k - 2)-dimensional faces. Garland’s result concerns the Laplacian; we develop an analogous result for the adjacency matrix. The same arguments apply to other models of random complexes which allow for dependencies between the choices of k-dimensional simplices. In the second part of the paper, we apply this to the question of possible higher-dimensional analogues of the discrete Cheeger inequality, which in the classical case of graphs relates the eigenvalues of a graph and its edge expansion. It is very natural to ask whether this generalizes to higher dimensions and, in particular, whether the eigenvalues of the higher-dimensional Laplacian capture the notion of coboundary expansion—a higher-dimensional generalization of edge expansion that arose in recent work of Linial and Meshulam and of Gromov; this question was raised, for instance, by Dotterrer and Kahle. We show that this most straightforward version of a higher-dimensional discrete Cheeger inequality fails, in quite a strong way: For every k ≥ 2 and n ∈ N, there is a k-dimensional complex Yn k on n vertices that has strong spectral expansion properties (all nontrivial eigenvalues of the normalised k-dimensional Laplacian lie in the interval [1−O(1/√1), 1+0(1/√1]) but whose coboundary expansion is bounded from above by O(log n/n) and so tends to zero as n → ∞; moreover, Yn k can be taken to have vanishing integer homology in dimension less than k.
AU - Gundert, Anna
AU - Wagner, Uli
ID - 1282
IS - 2
JF - Israel Journal of Mathematics
TI - On eigenvalues of random complexes
VL - 216
ER -
TY - JOUR
AB - We use recently developed angulon theory [R. Schmidt and M. Lemeshko, Phys. Rev. Lett. 114, 203001 (2015)PRLTAO0031-900710.1103/PhysRevLett.114.203001] to study the rotational spectrum of a cyanide molecular anion immersed into Bose-Einstein condensates of rubidium and strontium. Based on ab initio potential energy surfaces, we provide a detailed study of the rotational Lamb shift and many-body-induced fine structure which arise due to dressing of molecular rotation by a field of phonon excitations. We demonstrate that the magnitude of these effects is large enough in order to be observed in modern experiments on cold molecular ions. Furthermore, we introduce a novel method to construct pseudopotentials starting from the ab initio potential energy surfaces, which provides a means to obtain effective coupling constants for low-energy polaron models.
AU - Midya, Bikashkali
AU - Tomza, Michał
AU - Schmidt, Richard
AU - Lemeshko, Mikhail
ID - 1286
IS - 4
JF - Physical Review A - Atomic, Molecular, and Optical Physics
TI - Rotation of cold molecular ions inside a Bose-Einstein condensate
VL - 94
ER -
TY - JOUR
AB - A planar waveguide with an impedance boundary, composed of nonperfect metallic plates, and with passive or active dielectric filling, is considered. We show the possibility of selective mode guiding and amplification when a homogeneous pump is added to the dielectric and analyze differences in TE and TM mode propagation. Such a non-conservative system is also shown to feature exceptional points for specific and experimentally tunable parameters, which are described for a particular case of transparent dielectric.
AU - Midya, Bikashkali
AU - Konotop, Vladimir
ID - 1287
IS - 20
JF - Optics Letters
TI - Modes and exceptional points in waveguides with impedance boundary conditions
VL - 41
ER -
TY - JOUR
AB - Aiming at the automatic diagnosis of tumors using narrow band imaging (NBI) magnifying endoscopic (ME) images of the stomach, we combine methods from image processing, topology, geometry, and machine learning to classify patterns into three classes: oval, tubular and irregular. Training the algorithm on a small number of images of each type, we achieve a high rate of correct classifications. The analysis of the learning algorithm reveals that a handful of geometric and topological features are responsible for the overwhelming majority of decisions.
AU - Dunaeva, Olga
AU - Edelsbrunner, Herbert
AU - Lukyanov, Anton
AU - Machin, Michael
AU - Malkova, Daria
AU - Kuvaev, Roman
AU - Kashin, Sergey
ID - 1289
IS - 1
JF - Pattern Recognition Letters
TI - The classification of endoscopy images with persistent homology
VL - 83
ER -
TY - JOUR
AB - We developed a competition-based screening strategy to identify compounds that invert the selective advantage of antibiotic resistance. Using our assay, we screened over 19,000 compounds for the ability to select against the TetA tetracycline-resistance efflux pump in Escherichia coli and identified two hits, β-thujaplicin and disulfiram. Treating a tetracycline-resistant population with β-thujaplicin selects for loss of the resistance gene, enabling an effective second-phase treatment with doxycycline.
AU - Stone, Laura
AU - Baym, Michael
AU - Lieberman, Tami
AU - Chait, Remy P
AU - Clardy, Jon
AU - Kishony, Roy
ID - 1290
IS - 11
JF - Nature Chemical Biology
TI - Compounds that select against the tetracycline-resistance efflux pump
VL - 12
ER -