Defines coarse cohomology of space complements, proving new duality results.
arXiv research
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New groups prevent certain geometric actions on spaces.
We study discrete group actions on coarse Poincare duality spaces, e.g. acyclic simplicial complexes which admit free cocompact group actions by Poincare duality groups. When G is an (n-1) dimensional duality group and X is a coarse Poincare duality space of formal dimension n, then a free simplicial action of G on X d…
Study groups admitting unbounded quasimorphisms to R with coarsely-connected quasikernel.
Paper proves a relative version of coarse Alexander duality and applies it to Jordan cycles.
The study of -pairs extends results for aspherical 3-manifolds.
The paper stabilizes PD term structures under forecast uncertainty using a Kalman filter with an anchored observation model.
We define partial differential (PD in the following), i.e., field theoretic analogues of Hamiltonian systems on abstract symplectic manifolds and study their main properties, namely, PD Hamilton equations, PD Noether theorem, PD Poisson bracket, etc.. Unlike in standard multisymplectic approach to Hamiltonian field the…
Persistence diagrams (PDs) play a key role in topological data analysis (TDA), in which they are routinely used to describe topological properties of complicated shapes. PDs enjoy strong stability properties and have proven their utility in various learning contexts. They do not, however, live in a space naturally endo…
We show that the orientable double covering space of an indecomposable non-orientable -complex has torsion free fundamental group.
A closed 4-manifold (or, more generally, a finite -space) has a finitely dominated infinite regular covering space if and only if either its universal covering space is finitely dominated or it is finitely covered by the mapping torus of a self homotopy equivalence of a -complex.
We show that if is an indecomposable -complex and XZ/2Z2m…
The primary purpose of this paper concerns the relation of (compact) generalized manifolds to finite Poincaré duality complexes (PD complexes). The problem is that an arbitrary generalized manifold is always an ENR space, but it is not necessarily a complex. Moreover, finite PD complexes require the Poincaré dualit…
Paper solves open question about non-positive kernels by decomposing them into PD kernels.
Every -complex bounds a -pair.
PD_3-groups split as HNN extensions, revealing homology class properties.
Our previous exploration of the $\cE_g^{PD}$-geometry has shown that the field is promising. Namely, the $\cE_g^{PD}$-approach is amenable to development of novel trends in relativistic and metric differential geometry and can particularly be effective in context of the Finslerian or Minkowskian Geometries. The main po…
Study pro- completions of orientable PD_n groups, proving best results in three cases.
Study semi-coarse spaces' homotopy and homology, extending coarse geometry.
New concept of coarse medians for higher rank symmetric spaces.
We introduce a notion of fibred coarse embedding into Hilbert space for metric spaces, which is a generalization of Gromov's notion of coarse embedding into Hilbert space. It turns out that a large class of expander graphs admit such an embedding. We show that the maximal coarse Baum-Connes conjecture holds for metric …
The paper classifies PD_4-complexes based on their fundamental group properties.
In this article, we introduce the notion of a functor on coarse spaces being coarsely excisive- a coarse analogue of the notion of a functor on topological spaces being excisive. Further, taking cones, a coarsely excisive functor yields a topologically excisive functor, and for coarse topological spaces there is an ass…
The intention with this paper is to provide all the estimation concepts and techniques that are needed to implement a two-phases approach to the parametric estimation of probability of default (PD) curves. In the first phase of this approach, a raw PD curve is estimated based on parameters that reflect discriminatory p…
A new tree-based estimator, FastPD, efficiently estimates PD functions for machine learning models.
This paper extends boundary embedding results to coarsely convex spaces.
We introduce a new variant of the coarse Baum-Connes conjecture designed to tackle coarsely disconnected metric spaces called the boundary coarse Baum-Connes conjecture. We prove this conjecture for many coarsely disconnected spaces that are known to be counterexamples to the coarse Baum-Connes conjecture. In particula…
In this paper we formalize a combinatorial object for describing link diagrams called a Planar Diagram Code. PD-codes are used by the KnotTheory Mathematica package developed by Bar-Natan, et al. We present the set of PD-codes as a stand alone object and discuss its relationship with link diagrams. We give an explicit …
Extends characterization of -pairs with aspherical boundaries to those with spherical boundaries.
Following Roe and others (see, e.g., [MR1451755]), we (re)develop coarse geometry from the foundations, taking a categorical point of view. In this paper, we concentrate on the discrete case in which topology plays no role. Our theory is particularly suited to the development of the_Roe (C*-)algebras_ C*(X) and their K…
Researchers formalize PD and PFI to relate them to data generating process.
Paper presents a method for estimating long-term PDs with incomplete data.
We prove the Tits alternative for an almost coherent group which is not virtually properly locally cyclic. In particular, we show that an almost coherent group which cannot be generated by fewer than four elements always contains a rank 2 free group.
A model learns symptom-drug relations for PD patients.
Unique median structures found in hyperbolic spaces.
Classifies homeomorphism groups of countable Stone spaces up to coarse equivalence.
Coarse homotopy theory connects Euclidean cones to shape theory of compact spaces.
Study extends Elkalla's work on subnormal subgroups to -groups, but -Betti numbers need verification.
The coarse category was established by Roe to distill the salient features of the large-scale approach to metric spaces and groups that was started by Gromov. In this paper, we use the language of coarse spaces to define coarse versions of asymptotic property C and decomposition complexity. We prove that coarse propert…
The study explores ends in coarse homotopy of proper geodesic spaces.
Topological data analysis is becoming a popular way to study high dimensional feature spaces without any contextual clues or assumptions. This paper concerns itself with one popular topological feature, which is the number of dimensional holes in the dataset, also known as the Betti number. The persistence of t…
Paper relates asymptotic dimension to cofinal dimension using coarse proximities.
We define an order relation among oriented -complexes. We show that with respect to this relation, two -complexes over the same complex are homotopy equivalent if and only if there is an isometry between the second homology groups. We also consider minimal objects of this relation.
Scaff-PD improves fairness and robustness in federated learning with reduced communication.
Persistence diagrams (PDs) are now routinely used to summarize the underlying topology of complex data. Despite several appealing properties, incorporating PDs in learning pipelines can be challenging because their natural geometry is not Hilbertian. Indeed, this was recently exemplified in a string of papers which sho…
If the probability of default parameters (PDs) fed as input into a credit portfolio model are estimated as through-the-cycle (TTC) PDs stressed market conditions have little impact on the results of the capital calculations conducted with the model. At first glance, this is totally different if the PDs are estimated as…
PD curve calibration refers to the transformation of a set of rating grade level probabilities of default (PDs) to another average PD level that is determined by a change of the underlying portfolio-wide PD. This paper presents a framework that allows to explore a variety of calibration approaches and the conditions un…
New algorithm samples constrained distributions efficiently.