56,288 research outputs found

    Hyperbolic Dehn filling in dimension four

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    We introduce and study some deformations of complete finite-volume hyperbolic four-manifolds that may be interpreted as four-dimensional analogues of Thurston's hyperbolic Dehn filling. We construct in particular an analytic path of complete, finite-volume cone four-manifolds MtM_t that interpolates between two hyperbolic four-manifolds M0M_0 and M1M_1 with the same volume 83Ï€2\frac {8}3\pi^2. The deformation looks like the familiar hyperbolic Dehn filling paths that occur in dimension three, where the cone angle of a core simple closed geodesic varies monotonically from 00 to 2Ï€2\pi. Here, the singularity of MtM_t is an immersed geodesic surface whose cone angles also vary monotonically from 00 to 2Ï€2\pi. When a cone angle tends to 00 a small core surface (a torus or Klein bottle) is drilled producing a new cusp. We show that various instances of hyperbolic Dehn fillings may arise, including one case where a degeneration occurs when the cone angles tend to 2Ï€2\pi, like in the famous figure-eight knot complement example. The construction makes an essential use of a family of four-dimensional deforming hyperbolic polytopes recently discovered by Kerckhoff and Storm.Comment: 60 pages, 23 figures. Final versio

    Probing Convex Polygons with a Wedge

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    Minimizing the number of probes is one of the main challenges in reconstructing geometric objects with probing devices. In this paper, we investigate the problem of using an ω\omega-wedge probing tool to determine the exact shape and orientation of a convex polygon. An ω\omega-wedge consists of two rays emanating from a point called the apex of the wedge and the two rays forming an angle ω\omega. To probe with an ω\omega-wedge, we set the direction that the apex of the probe has to follow, the line L→\overrightarrow L, and the initial orientation of the two rays. A valid ω\omega-probe of a convex polygon OO contains OO within the ω\omega-wedge and its outcome consists of the coordinates of the apex, the orientation of both rays and the coordinates of the closest (to the apex) points of contact between OO and each of the rays. We present algorithms minimizing the number of probes and prove their optimality. In particular, we show how to reconstruct a convex nn-gon (with all internal angles of size larger than ω\omega) using 2n−22n-2 ω\omega-probes; if ω=π/2\omega = \pi/2, the reconstruction uses 2n−32n-3 ω\omega-probes. We show that both results are optimal. Let NBN_B be the number of vertices of OO whose internal angle is at most ω\omega, (we show that 0≤NB≤30 \leq N_B \leq 3). We determine the shape and orientation of a general convex nn-gon with NB=1N_B=1 (respectively NB=2N_B=2, NB=3N_B=3) using 2n−12n-1 (respectively 2n+32n+3, 2n+52n+5) ω\omega-probes. We prove optimality for the first case. Assuming the algorithm knows the value of NBN_B in advance, the reconstruction of OO with NB=2N_B=2 or NB=3N_B=3 can be achieved with 2n+22n+2 probes,- which is optimal.Comment: 31 pages, 27 figure

    Algorithms for distance problems in planar complexes of global nonpositive curvature

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    CAT(0) metric spaces and hyperbolic spaces play an important role in combinatorial and geometric group theory. In this paper, we present efficient algorithms for distance problems in CAT(0) planar complexes. First of all, we present an algorithm for answering single-point distance queries in a CAT(0) planar complex. Namely, we show that for a CAT(0) planar complex K with n vertices, one can construct in O(n^2 log n) time a data structure D of size O(n^2) so that, given a point x in K, the shortest path gamma(x,y) between x and the query point y can be computed in linear time. Our second algorithm computes the convex hull of a finite set of points in a CAT(0) planar complex. This algorithm is based on Toussaint's algorithm for computing the convex hull of a finite set of points in a simple polygon and it constructs the convex hull of a set of k points in O(n^2 log n + nk log k) time, using a data structure of size O(n^2 + k)

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