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We give a combinatorial classification for the class of postcritically fixed Newton maps of polynomials and indicate potential for extensions. As our main tool, we show that for a large class of Newton maps that includes all hyperbolic…

Dynamical Systems · Mathematics 2012-03-24 Johannes Rückert

The theory of complex trees is introduced as a new approach to study a broad class of self-similar sets. Systems of equations encoded by complex trees tip-to-tip equivalence relations are used to obtain one-parameter families of connected…

Dynamical Systems · Mathematics 2019-11-13 Bernat Espigule

Frame theory provides a robust method for recovering vectors in a Hilbert space from inner product data, though the associated decomposition formula can be computationally demanding. We relax the frame condition by studying sequences that…

Functional Analysis · Mathematics 2026-05-05 Chad Berner

We study discrete period matrices associated with graphs cellularly embedded on closed surfaces, resembling classical period matrices of Riemann surfaces. Defined via integrals of discrete harmonic 1-forms, these period matrices are known…

Complex Variables · Mathematics 2026-02-04 Wai Yeung Lam , On-Hei Solomon Lo , Chi Ho Yuen

We prove the hard Lefschetz theorem and the Hodge-Riemann relations for a commutative ring associated to an arbitrary matroid M. We use the Hodge-Riemann relations to resolve a conjecture of Heron, Rota, and Welsh that postulates the…

Combinatorics · Mathematics 2018-05-02 Karim Adiprasito , June Huh , Eric Katz

We introduce a theory of integration with respect to the fixed point index, offering a substantial improvement over previous approaches based on the Lefschetz number. This framework eliminates several restrictive assumptions -- such as the…

Algebraic Topology · Mathematics 2025-06-02 Jesús A. Álvarez López , Alejandro O. Majadas-Moure , David Mosquera-Lois

In Conley index theory one may study an invariant set $S$ by decomposing it into an attractor $A$, a repeller $R$, and the orbits connecting the two. The Conley indices of $S$, $A$ and $R$ fit into an exact sequence where a certain…

Dynamical Systems · Mathematics 2024-03-28 J. J. Sánchez-Gabites

We develop primal and mixed variational formulations of transport phenomena on cell complexes with simple polytope connectivity. This framework addresses materials with internal structures comprising components of different topological…

Mathematical Physics · Physics 2026-02-26 Kiprian Berbatov , Andrey P. Jivkov

From the matrix point of view, we use the recursion to discuss four combinatorial numbers in terms of the integer lattice paths, this is different from Andr\'a's method (Andra). We give four tables and matrices, and their relations, and…

Combinatorics · Mathematics 2016-09-23 Jishe Feng

Connections on principal bundles play a fundamental role in expressing the equations of motion for mechanical systems with symmetry in an intrinsic fashion. A discrete theory of connections on principal bundles is constructed by introducing…

Differential Geometry · Mathematics 2009-09-29 Melvin Leok , Jerrold E. Marsden , Alan D. Weinstein

While behavioural equivalences among systems of the same type, such as Park/Milner bisimilarity of labelled transition systems, are an established notion, a systematic treatment of relationships between systems of different type is…

Logic in Computer Science · Computer Science 2025-02-07 Pedro Nora , Jurriaan Rot , Lutz Schröder , Paul Wild

In this article, we propose a general theory of integration of the Riemann and Lebesgue types with respect to arbitrary measures and functions, connected by a continuous bilinear product, with values in abstract vector spaces endowed with a…

Functional Analysis · Mathematics 2026-02-02 Alexandre Reggiolli Teixeira

We present a novel algebraic combinatorial view on low-rank matrix completion based on studying relations between a few entries with tools from algebraic geometry and matroid theory. The intrinsic locality of the approach allows for the…

Machine Learning · Computer Science 2014-08-20 Franz J. Király , Louis Theran , Ryota Tomioka

Concatenating matrices is a common technique for uncovering shared structures in data through singular value decomposition (SVD) and low-rank approximations. The fundamental question arises: How does the singular value spectrum of the…

Machine Learning · Computer Science 2025-07-01 Maksym Shamrai

In this paper we introduce compressed commuting graph of rings. It can be seen as a compression of the standard commuting graph (with the central elements added) where we identify the vertices that generate the same subring. The compression…

Rings and Algebras · Mathematics 2024-11-12 Ivan-Vanja Boroja , Hamid Reza Dorbidi , Damjana Kokol Bukovšek , Nik Stopar

Convenient parameterizations of matrices in terms of vectors transform (certain classes of) matrix equations into covariant (hence rotation-invariant) vector equations. Certain recently introduced such parameterizations are tersely…

Exactly Solvable and Integrable Systems · Physics 2009-11-10 M. Bruschi , F. Calogero

Contact has been well established as an important quantity to govern dilute quantum systems, in which the pairwise correlation at short distance traces a broad range of thermodynamic properties. So far, studies have been focusing on contact…

Quantum Gases · Physics 2017-06-14 Shao-Liang Zhang , Mingyuan He , Qi Zhou

Kontsevich introduced certain ribbon graphs as cell decompositions for combinatorial models of moduli spaces of complex curves with boundaries in his proof of Witten's conjecture. In this work, we define four types of generalised Kontsevich…

Combinatorics · Mathematics 2023-10-31 Raphaël Belliard , Séverin Charbonnier , Bertrand Eynard , Elba Garcia-Failde

The topological method for the reconstruction of dynamics from time series [K. Mischaikow, M. Mrozek, J. Reiss, A. Szymczak. Construction of Symbolic Dynamics from Experimental Time Series, Physical Review Letters, 82 (1999), 1144-1147] is…

Dynamical Systems · Mathematics 2022-02-03 Bogdan Batko , Konstantin Mischaikow , Marian Mrozek , Mateusz Przybylski

We propose a set of convex low rank inducing norms for a coupled matrices and tensors (hereafter coupled tensors), which shares information between matrices and tensors through common modes. More specifically, we propose a mixture of the…

Machine Learning · Statistics 2018-06-15 Kishan Wimalawarne , Makoto Yamada , Hiroshi Mamitsuka
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