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An enumerative invariant theory in Algebraic Geometry, Differential Geometry, or Representation Theory, is the study of invariants which 'count' $\tau$-(semi)stable objects $E$ with fixed topological invariants $[E]=\alpha$ in some…

Algebraic Geometry · Mathematics 2022-09-26 Jacob Gross , Dominic Joyce , Yuuji Tanaka

This is a revised version of the author's PhD thesis, including the corrections by the examiners. It also includes a few additional small corrections. In this thesis the objects of study are classifying spaces of groups with stabilisers in…

Group Theory · Mathematics 2012-09-03 Martin Fluch

In this paper, we prove several stability theorems for multiplicities of naturally defined representations of symmetric groups. The first such theorem states that if we consider the diagonal action of the symmetric group $S_{m+r}$ on $k$…

Representation Theory · Mathematics 2024-06-19 Marino Romero , Nolan Wallach

For a Reproducing Kernel Hilbert Space on a complex domain we give a formula that describes the Hermitean metrics on the domain which are pull-backs of some metric on the (dual of) the RKHS via the evaluation map. Then we consider the…

Functional Analysis · Mathematics 2018-10-16 Eugene Bilokopytov

We consider the question of defining interleaving metrics on generalized persistence modules over arbitrary preordered sets. Our constructions are functorial, which implies a form of stability for these metrics. We describe a large class of…

Algebraic Topology · Mathematics 2016-04-01 Peter Bubenik , Vin de Silva , Jonathan Scott

After a historical discussion of classical uniformisation results for Riemann surfaces, of problems appearing in higher dimensions, and of uniformisation results for projective manifolds with trivial or ample canonical bundle, we introduce…

Algebraic Geometry · Mathematics 2019-02-22 Daniel Greb , Stefan Kebekus , Behrouz Taji

This paper is partly an exposition, and partly an extension of our work [1] to the multiparameter case. We consider certain classes of parametrized dynamically defined measures. These are push-forwards, under the natural projection, of…

Dynamical Systems · Mathematics 2024-05-13 Balázs Bárány , Károly Simon , Boris Solomyak , Adam Śpiewak

Persistent homology is a powerful tool for characterizing the topology of a data set at various geometric scales. When applied to the description of molecular structures, persistent homology can capture the multiscale geometric features and…

Quantitative Methods · Quantitative Biology 2018-07-31 Zixuan Cang , Guo-Wei Wei

A new homological dimension is introduced to measure the quality of resolutions of `singular' finite dimensional algebras (of infinite global dimension) by `regular' ones (of finite global dimension). Upper bounds are established in terms…

Representation Theory · Mathematics 2017-06-27 Hongxing Chen , Ming Fang , Otto Kerner , Steffen Koenig , Kunio Yamagata

We define a class of invariants, which we call homological invariants, for persistence modules over a finite poset. Informally, a homological invariant is one that respects some homological data and takes values in the free abelian group…

Algebraic Topology · Mathematics 2024-08-26 Benjamin Blanchette , Thomas Brüstle , Eric J. Hanson

We present a parallelizable algorithm for computing the persistent homology of a filtered chain complex. Our approach differs from the commonly used reduction algorithm by first computing persistence pairs within local chunks, then…

Algebraic Topology · Mathematics 2013-03-05 Ulrich Bauer , Michael Kerber , Jan Reininghaus

Over the past few decades, we have witnessed a large family of algorithms that have been designed to provide different solutions to the problem of dimensionality reduction (DR). The DR is an essential tool to excavate the important…

Machine Learning · Computer Science 2020-05-22 Haohao Li , Huibing Wang

This thesis proposes a combinatorial generalization of a nilpotent operator on a vector space. The resulting object is highly natural, with basic connections to a variety of fields in pure mathematics, engineering, and the sciences. For the…

Category Theory · Mathematics 2020-04-21 Gregory Henselman-Petrusek

Persistent homology is a popular data analysis technique that is used to capture the changing topology of a filtration associated with some simplicial complex $K$. These topological changes are summarized in persistence diagrams. We propose…

Computational Geometry · Computer Science 2018-10-11 Tamal K. Dey , Ryan Slechta

TDA (topological data analysis) is a relatively new area of research related to importing classical ideas from topology into the realm of data analysis. Under the umbrella term TDA, there falls, in particular, the notion of persistent…

Algebraic Topology · Mathematics 2019-06-03 Facundo Memoli , Kritika Singhal

Overcomplete representations and dictionary learning algorithms kept attracting a growing interest in the machine learning community. This paper addresses the emerging problem of comparing multivariate overcomplete representations. Despite…

Machine Learning · Computer Science 2021-02-11 Sylvain Chevallier , Quentin Barthélemy , Jamal Atif

This paper contributes with a new formal method of spatial discretization of a class of nonlinear distributed parameter systems that allow a port-Hamiltonian representation over a one dimensional manifold. A specific finite dimensional…

Numerical Analysis · Mathematics 2021-04-23 B. C. van Huijgevoort , S. Weiland , H. J. Zwart

The purpose of this note is to study containment relations and asymptotic invariants for ideals of fixed codimension skeletons (simplicial ideals) determined by arrangements of $n + 1$ general hyperplanes in the $n-$dimensional projective…

Algebraic Geometry · Mathematics 2015-04-16 Magdalena Lampa-Baczyńska , Grzegorz Malara

The asymptotic stability of several homological invariants of the graded pieces of a graded module has attracted quite a lot of attention over the last decades. We provide in this text several stability results together with estimates of…

Commutative Algebra · Mathematics 2012-03-21 Marc Chardin , Jean-Pierre Jouanolou , Ahad Rahimi

In previous work, we introduced a method for modeling a configuration of objects in 2D and 3D images using a mathematical "medial/skeletal linking structure." In this paper, we show how these structures allow us to capture positional…

Computer Vision and Pattern Recognition · Computer Science 2017-06-02 James Damon , Ellen Gasparovic