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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.

168,695 papers · 148 categories

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48 results for diagonalizable modular symmetry

Study of Batalin-Vilkovisky algebra on Poisson manifolds with diagonalizable modular symmetry.

problem Exploring Batalin-Vilkovisky algebra structures on Poisson manifolds with specific symmetry conditions.
method Analysis of twisted Poincaré duality and mixed complex structure, combined with Kontsevich's deformation quantization and Koszul duality.
result Generalization of Batalin-Vilkovisky algebra structure to Poisson manifolds with diagonalizable modular symmetry.

We find and propose an explanation for a large variety of modularity-related symmetries in problems of 3-manifold topology and physics of 3d N=2\mathcal{N}=2 theories where such structures a priori are not manifest. These modular structures include: mock modular forms, SL(2,Z)SL(2,\mathbb{Z}) Weil representations, quantum mo…

2018-09-26abs ↗pdf ↗

We build a connection between topology of smooth 4-manifolds and the theory of topological modular forms by considering topologically twisted compactification of 6d (1,0) theories on 4-manifolds with flavor symmetry backgrounds. The effective 2d theory has (0,1) supersymmetry and, possibly, a residual flavor symmetry. …

2018-11-19abs ↗pdf ↗

We explain how neural networks learn to solve modular addition tasks.

problem How two-layer neural networks learn to solve modular addition tasks.
method Formalized a diversification condition during training, proving it allows the network to approximate the correct logic for modular addition.
result Neural networks can robustly identify the correct sum through phase symmetry and frequency diversification.

The paper extends hypothesis testing to non-diagonalizable matrices, improving network statistics inference.

problem Testing on non-diagonalizable matrices for network statistics.
method Generalizes Wald and t-tests to non-symmetric matrices, controlling convergence rates.
result Improved inference on network statistics from directed networks.

New modular data from torus bundles via particle-hole equivariantization.

problem Constructing modular tensor categories from 3-manifolds.
method Using Chern-Simons invariants and adjoint Reidemeister torsions, and performing Z2\mathbb{Z}_2-equivariantization.
result Modular data from torus bundles realized by Z2\mathbb{Z}_2-equivariantization of premodular categories.

Recent work of Ballas, Cooper, and Leitner identifies (n+1)(n+1) types of nn-dimensional convex projective cusps, one of which is the standard hyperbolic cusp. Work of Ballas-Marquis, and Ballas-Danciger-Lee give examples of these exotic (non-hyperbolic) type cusps in dimension 33. Here an extension of the techniques of…

2018-08-08abs ↗pdf ↗

We investigate non-degenerate Lagrangians of the form f(ux,uy,ut)dxdydt \int f(u_x, u_y, u_t) dx dy dt such that the corresponding Euler-Lagrange equations (fux)x+(fuy)y+(fut)t=0 (f_{u_x})_x+ (f_{u_y})_y+ (f_{u_t})_t=0 are integrable by the method of hydrodynamic reductions. We demonstrate that the integrability conditions, which constitute an invol…

2007-07-23abs ↗pdf ↗

In this paper we construct a family of complex analytic manifolds that generalize Inoue surfaces and Oeljeklaus-Toma manifolds. To a matrix MM in SL(N,Z)SL(N,\mathbb{Z}) satisfying some mild conditions on its characteristic polynomial we associate a manifold T(M,D)T(M,\mathbf{D}) (depending on an auxiliary parameter $\mathbf{D…

2019-06-18abs ↗pdf ↗

Study on completeness of metrics on specific Lie groups.

problem Completeness of left-invariant Lorentzian metrics on 3D non-unimodular Lie groups.
method Analyzing metrics with Lie algebra of the form RAR2\mathbb{R} \ltimes_A \mathbb{R}^2 for various AA.
result Determine all geodesically complete and incomplete metrics for different cases of AA.

Modern treatment of Winger's pencil reveals deep connections to modular curves and monodromy.

problem Understanding the structure and deformations of genus ten curves with icosahedral symmetry.
method Analyzing the Jacobian of the Winger pencil and its monodromy properties.
result The Jacobian of the Winger pencil contains an elliptic curve with a distinguished point of order 3 and a monodromy group isomorphic to Γ1(3).

Breaking symmetry in training data is key for generalization in feature learning kernels.

problem Grokking in algebraic tasks, where models perform well on training but fail on unseen data.
method Used Recursive Feature Machine (RFM) with AGOP to learn task-relevant features, breaking symmetry in training data.
result Generalization occurs only when symmetry in the training set is broken, and RFM generalizes by recovering underlying invariance group action.

Paper introduces Modular Jets for diagnosing model decompositions in pipelines.

problem Evaluating model decompositions in pipelines for unique identification.
method Estimates empirical jets from module-level representations to diagnose mirage vs identifiable decompositions.
result Proves jet-identifiability theorem for two-module linear regression pipelines.

The study extends Jacobi-orthogonality to indefinite scalar product spaces.

problem Generalizing Jacobi-orthogonality to indefinite scalar product spaces.
method Comparing principles, investigating tensor relations, proving properties.
result Every quasi-Clifford tensor is Jacobi-orthogonal; certain tensors are Jacobi-dual or Osserman.

Symmetry helps VI recover certain statistics.

problem Understanding how symmetry in variational inference affects the recovery of statistics.
method Developed a general theory of symmetry-induced statistic recovery in variational inference.
result Symmetry can force the recovery of certain statistics in VI, even under model misspecification.

Inspired by mirror symmetry, we investigate some differential geometric aspects of the space of Bridgeland stability conditions on a Calabi-Yau triangulated category. The aim is to develop theory of Weil-Petersson geometry on the stringy Kähler moduli space. A few basic examples are studied. In particular, we identify …

2017-08-07abs ↗pdf ↗

The paper studies ergodicity of flows on subspaces, generalizing earlier work.

problem Ergodicity of flows on subspaces of higher rank groups.
method Analyzes one-parameter diagonalizable subgroups of connected semisimple groups acting on homogeneous spaces.
result Obtains an ergodicity criterion similar to Hopf-Tsuji-Sullivan for general Anosov subgroups.

We conjecture that the complex of Soergel bimodules associated with the full twist braid is categorically diagonalizable, for any finite Coxeter group. This utilizes the theory of categorical diagonalization introduced earlier by the authors. We prove our conjecture in type AA, and as a result we obtain a categorifica…

2017-12-30abs ↗pdf ↗

A core aspect of human intelligence is the ability to learn new tasks quickly and switch between them flexibly. Here, we describe a modular continual reinforcement learning paradigm inspired by these abilities. We first introduce a visual interaction environment that allows many types of tasks to be unified in a single…

2017-11-20abs ↗pdf ↗

We construct link invariants using the D2nD_{2n} subfactor planar algebras, and use these to prove new identities relating certain specializations of colored Jones polynomials to specializations of other quantum knot polynomials. These identities can also be explained by coincidences between small modular categories inv…

2010-02-26abs ↗pdf ↗

We prove that a K-contact Lie group of dimension five or greater is the central extension of a symplectic Lie group by complexifying the Lie algebra and applying a result from complex contact geometry, namely, that, if the adjoint action of the complex Reeb vector field on a complex contact Lie algebra is diagonalizabl…

2010-06-08abs ↗pdf ↗

In this paper, we study Lorentzian hypersurfaces in Minkowski 5-space with non-diagonalizable shape operator whose characteristic polinomial is (tk1)2(tk3)(tk4)(t-k_1)^2(t-k_3)(t-k_4) or (tk1)3(tk4)(t-k_1)^3(t-k_4). We proved that in these cases, a hypersurface is biharmonic if and only if it is minimal.

2014-06-29abs ↗pdf ↗

In [BF12] the authors associated to a knot K an invariant n_R(K) which is defined using the Blanchfield form and which gives a lower bound on the unknotting number. In this paper we express n_R(K) in terms of Levine-Tristram signatures and nullities of K. In the proof we also show that the Blanchfield form with real co…

2012-07-10abs ↗pdf ↗

Some general properties of compatible Poisson brackets of hydrodynamic type are discussed, in particular: (1) an invariant differential-geometric criterion of the compatibility based on the Nijenhuis tensor; (2) the Lax pair with a spectral parameter governing compatible Poisson brackets in the diagonalizable case; (3)…

2000-05-23abs ↗pdf ↗

Modeling curvature-sensitive cells in visual cortex with geometric structures.

problem Understanding the functional architecture of curvature-sensitive cells in the visual cortex.
method Geometric model based on Engel structure and SIM(2) symmetry.
result Identified SIM(2) as the natural symmetry group for curvature-sensitive cells.

Researchers found the global topology of the Eisenstein-Picard modular surface.

problem Understanding the global topology of the Eisenstein-Picard modular surface.
method Quotient space of the complex hyperbolic plane by the modular group.
result Determined the global topology of the Eisenstein-Picard modular surface as a 4-orbifold.

Let X be a smooth elliptic fibration over a smooth base B. Under mild assumptions, we establish a Fourier-Mukai equivalence between the derived categories of two objects, each of which is an O^* gerbe over a genus one fibration which is a twisted form of X. The roles of the gerbe and the twist are interchanged by our d…

2003-06-13abs ↗pdf ↗

Study modular surfaces in Lorentz-Minkowski 3-space, classifying and analyzing their curvature and applications.

problem Understanding the curvature properties of modular surfaces in Lorentz-Minkowski space.
method Analyzing the sign of Gaussian and mean curvature, classifying surfaces, and applying to conformal field theories.
result Complete classification of zero Gaussian curvature modular surfaces and non-existence of non-planar maximal modular surfaces.

Modular neural networks generalize better with less data.

problem Theoretical and practical understanding of how modularity improves neural network generalization.
method Theoretical analysis of sample complexity, development of a novel learning rule.
result Modular networks require fewer samples to generalize compared to nonmodular networks, especially in high-dimensional tasks.

Our aim is to introduce and advocate non-ΣΣ (non-symmetric) modular operads. While ordinary modular operads were inspired by the structure of the moduli space of stable complex curves, non-ΣΣ modular operads model surfaces with open strings outputs. An immediate application of our theory is a short proof that the mod…

2014-10-13abs ↗pdf ↗