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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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48 results for topological phase space

The study finds all possible heights for transformation groups on graphs.

problem Determining the possible heights of transformation groups on graphs.
method Proved the existence of a topological graph XX for all finite p0p\geq0.
result For all finite p0p\geq0, there exists a graph XX such that the set of heights is {p,p+1,p+2,}{+}\{p,p+1,p+2,\ldots\}\cup\{+\infty\}.

Paper uses TDA to assess cryptocurrency risk by measuring phase space instability.

problem Traditional risk measures fail to capture market dynamics' geometric structure.
method Applied Takens' Delay Embedding Theorem to generate point cloud, computed persistent homology groups, defined Topological Persistence Norm.
result Proposed leverage calibration heuristic based on persistence of 1-dimensional cycles.

Novel M-theory approach classifies topological phases of matter.

problem Classifying and understanding topological phases of matter.
method Establishing a correspondence between (2+1)d topological field theories and non-hyperbolic 3-manifolds, identifying topological phases from internal wrapped 3-manifolds.
result Paves a new route toward the classification of topological phases of matter, including fermionic and non-unitary phases.

Paper uses smart meter data to accurately estimate multi-phase topology and identify bus phases in unbalanced distribution grids.

problem Accurate topology knowledge is needed for monitoring and controlling uncertainties in unbalanced distribution grids.
method Converts multi-phase unbalanced systems into symmetrical components and uses information theory, power flow equations, and conditional independence relationships to estimate topology and identify bus phases.
result The algorithm accurately estimates multi-phase topology and identifies bus phases in unbalanced distribution grids, even with strong load unbalancing and DERs.

Machine learning classifies topological phases in leaky photonic lattices.

problem Classifying topological phases in leaky photonic lattices using limited data.
method A fully connected neural network trained on bulk intensity measurements.
result Accurate determination of topological properties from intensity distributions.

The paper explores the geometrical structures of phase spaces for controlled Hamiltonian systems with symmetry.

problem Understanding the dynamics and phase spaces of controlled Hamiltonian systems with symmetry.
method The paper uses Marsden-Weinstein reduction to define and analyze CH systems and their dynamics, focusing on the geometrical and topological structures of phase spaces.
result The paper reveals the relationships between the geometrical structures, dynamical vector fields, and controls of CH systems with symmetry.

A new approach uses circuit topology to study complex polymer interactions.

problem Understanding structural phase transitions in entangled polymer systems.
method Braided circuit topology framework for multiple-chain systems.
result Circuit topological motif fractions are effective order parameters for structural transitions.

Artificial neural networks map quantum phases of disordered topological superconductors.

problem Classifying quantum phases of disordered topological superconductors.
method Supervised artificial neural network trained on ensemble averages of quasiparticle distributions.
result Artificial neural networks can classify quantum phases with high confidence, identifying unknown phases.

Researchers create topologically protected knots in a realizable system.

problem Creating topologically protected vortex knots in experimentally realizable systems.
method Investigated non-Abelian vortices in tetrahedral order in spin-2 Bose--Einstein condensates and bent-core nematic liquid crystals.
result Discovered the first topologically protected knots in an experimentally realizable system.

The paper connects G2G_2-manifolds to Coulomb and Higgs phases of gauge theories.

problem Exploring the physical interpretation of special singularities in G2G_2-holonomy manifolds.
method Analyzing desingularizations of orbifold singularities and relating them to gauge theories.
result Shows an isomorphism between moduli spaces of Ricci flat metrics and flat ADE-connections.

Topological method detects Hopf bifurcations from time series.

problem Detecting Hopf bifurcations in nonlinear systems from time series data.
method Persistent homology applied to Takens embedding for phase space reconstructions.
result A simple scalar topological functional identifies critical bifurcation points.

The heights of Alexandroff square transformation groups are computed and proven.

problem Computing possible heights of Alexandroff square transformation groups.
method Analyzing the heights of transformation groups for Alexandroff square, unit square with lexicographic order, and unit square with Euclidean topology.
result Proven heights for transformation groups of Alexandroff square, unit square with lexicographic order, and unit square with Euclidean topology.

Optimizes structure topology for ductile and brittle fracture resistance.

problem Minimizing mass while ensuring structural damage and fracture resistance.
method Phase-field approach for modeling fracture, level-set topology optimization.
result Enhanced fracture resistance through two formulations.

Persistent entropy detects phase transitions in complex systems.

problem Detecting phase transitions in complex systems.
method Established a general theorem for persistent entropy to reliably detect phase transitions, introduced operational framework for finite-time computations.
result Persistent entropy exhibits an asymptotically non-vanishing gap across phases, robust numerical signatures across experiments.

This work reveals a new scaling law for optimal design of multirotor aerial vehicles.

problem Designing optimal configurations for fully-actuated multirotor aerial vehicles.
method Formulated on the product manifold of Projective Lines \RP^2^N, minimizing a coordinate-invariant Log-Volume isotropy metric.
result The topology of the global optima is governed by the symmetry of the chassis, leading to a N-5 Scaling Law.

New minimal surfaces in spheres with complex topologies from capillarity.

problem Constructing minimal surfaces in spheres with rich topologies.
method General construction of embedded minimal and constant mean curvature surfaces in Sn\mathbb{S}^n using capillary hypersurfaces.
result Non-trivial sphere bundles over various base spaces, including Stiefel manifolds and complex quadrics.

Freedman proposes a family of Hamiltonians H0,lH_{0,l} which define quantum loop gas models on any celluated compact surface. We study the simplest nontrivial cases: celluations of the torus. Our numerical data support Freedman's conjecture, but the conjectured space of ground states does not come out in full.

2003-03-06abs ↗pdf ↗

New proof shows 11 measurements needed for phase retrieval in 4D complex space.

problem Determining the minimal number of intensity measurements for phase retrieval in 4D complex space.
method Leveraged characteristic classes and cohomology groups from differential topology.
result Proved that 11 is the exact minimum number of measurements required for phase retrieval in 4D complex space.

Proposes using continuum percolation to analyze data manifolds and improve generative models.

problem Disentangling geometric support from probability distributions in high-dimensional data.
method Establishes a correspondence between topological phase transitions of random geometric graphs and data manifolds, using Percolation Shift metric.
result Demonstrates that Percolation Shift metric captures structural pathologies like mode collapse and guides training to prevent manifold shrinkage and improve fidelity.

The study characterizes neural network capacity using algebraic topology.

problem Characterizing the capacity of neural networks based on data complexity.
method Reframing architecture selection as data complexity understanding, using algebraic topology.
result Neural networks exhibit topological phase transitions at different levels of dataset complexity.

An emended and improved version of the present paper has been archived in math-ph/0505057, and a preliminary account of its content has been published in Phys.Rev.Lett. 92, 60601, (2004). Moreover, in order to prove the relevance of topology for phase transition phenomena in a broad domain of physically interesting cas…

2003-05-15abs ↗pdf ↗

Review of sigma models on flag manifolds, linking to spin chains and integrable theories.

problem Understanding phase transitions and anomalies in spin chains and sigma models.
method Analyzing topological angles, discrete 't Hooft anomalies, and integrable models.
result Gapless phases in certain spin chains can be explained by discrete anomalies in continuum theories.

Study of IR phases in 3D class R theories linked to non-hyperbolic 3-manifolds.

problem Understanding IR phases of 3D class R theories associated with non-hyperbolic 3-manifolds.
method Analysis of IR phenomena through `exceptional' Dehn fillings and gauging of flavor symmetries.
result 3D class R theories associated with certain atoroidal non-hyperbolic 3-manifolds exhibit supersymmetry enhancement at low energy.

We analyze the landscape of empirical risk minimization for high-dimensional models, predicting phase transitions and critical point properties.

problem Understanding the complexity and structure of high-dimensional empirical risk landscapes.
method Using the Kac-Rice formula, we analyze the expected number of critical points and their spectral properties, providing detailed predictions.
result We derive complete topological phase diagrams for the phase retrieval problem, predicting BBP-type transitions and critical point stability.

Researchers extend topological classification to knotted semimetals in 3D.

problem Classifying semimetals with knotted nodal lines.
method Using cohomology and Mayer-Vietoris sequence to account for nodal line semimetals with space-time inversion symmetry.
result Manifest proof of Weyl charge cancellation condition for Z_2 monopole charge.

Diffusion maps help learn complex quantum phase transitions from data.

problem Learning quantum phase transitions from experimental data is challenging.
method Diffusion maps for nonlinear dimensionality reduction and spectral clustering.
result Diffusion maps can learn complex phase transitions unsupervised.

Study local topological constraints on Berry curvature in spin-orbit coupled Bose-Einstein condensates.

problem Understanding local topological obstructions to flattening Berry curvature in spin-orbit-coupled Bose-Einstein condensates.
method Adapting Pigazzini-Toda lower bound to Kaluza-Klein setting, analyzing harmonic part of torsion 3-form, and using exact pointwise curvature analysis.
result Obstruction kernel vanishes, preventing complete gauging-away of Berry phases even at zero net topological charge.

Study invariants for branched G-covers of surfaces, focusing on stable cases.

problem Classifying equivalence of homomorphisms on surfaces with punctures.
method Classifying space for (framed) C-branched G-covers and branched Schur invariants.
result Provide a stable answer to equivalence of homomorphisms for surfaces with enough genus and punctures.

Generically, topological insulators have conical points leading to Dirac-like currents.

problem Understanding the conical structure of degeneracies in topological phases of matter.
method Analyzing Hermitian matrices with three parameters to show conical points.
result Adiabatic deformations of topological insulators result in Dirac-like currents whose total conductivity equals the chiral number of conical points.

The Allen-Cahn system on manifolds yields multiple phase distributions.

problem Finding the number of solutions to the Allen-Cahn system on manifolds.
method Volume-fixing variations approach to classify isoperimetric clusters.
result The number of solutions is bounded by topological invariants for parallelizable manifolds.