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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.

168,657 papers · 148 categories

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54108161215 · May 202619922001200920172026
48 results for stable rank

We construct a sequence of primitive-stable representations of free groups into PSL(2,C) whose ranks go to infinity, but whose images are discrete with quotient manifolds that converge geometrically to a knot complement. In particular this implies that the rank and geometry of the image of a primitive-stable representa…

2010-09-30abs ↗pdf ↗

We study primitive stable representations of free groups into higher rank semisimple Lie groups and their properties. Let ΣΣ be a compact, connected, orientable surface (possibly with boundary) of negative Euler characteristic. We first verify the σmodσ_{mod}-regularity for convex projective structures and positive repr…

2015-04-30abs ↗pdf ↗

Persistent homology analysis provides means to capture the connectivity structure of data sets in various dimensions. On the mathematical level, by defining a metric between the objects that persistence attaches to data sets, we can stabilize invariants characterizing these objects. We outline how so called contour fun…

2019-06-11abs ↗pdf ↗

We develop a flexible framework for low-rank matrix estimation that allows us to transform noise models into regularization schemes via a simple bootstrap algorithm. Effectively, our procedure seeks an autoencoding basis for the observed matrix that is stable with respect to the specified noise model; we call the resul…

2014-10-30abs ↗pdf ↗

Let (E,φ)(\mathcal{E}, φ) be a rank two co-Higgs vector bundles on a Kähler compact surface XX with φH0(X,End(E)TX)φ\in H^0(X,End(\mathcal{E})\otimes T_X) nilpotent. If (E,φ)(\mathcal{E}, φ) is semi-stable, then one of the following holds up to finite \' etale cover: i)i) XX is uniruled. ii)ii) XX is a torus and (E,φ)(\mathcal{E}, φ) is s…

2015-01-24abs ↗pdf ↗

Proves equivalence of two types of representations of free groups in hyperbolic spaces.

problem Equivalence of two types of representations of free groups in hyperbolic spaces.
method Independent proof of equivalence for free groups of rank two in Gromov-hyperbolic spaces.
result Set of Bowditch representations equals set of primitive-stable representations.

Spectral gradient methods outperform Euclidean in certain deep learning scenarios.

problem When do spectral gradient updates outperform Euclidean in deep learning?
method Layerwise condition comparing squared nuclear-to-Frobenius ratio to stable rank of activations.
result Spectral updates can be more effective than Euclidean in deep networks and transformers.

We describe the moduli space of stable rank 2 parabolic bundles over an elliptic curve with 3 marked points.

problem Characterize the moduli space of stable rank 2 parabolic bundles over an elliptic curve with marked points.
method Explicitly describe the moduli space as a blow-up of an embedded elliptic curve in (CP1)3(\mathbb{CP}^1)^3 and interpret it as the SU(2)SU(2) character variety of the 3-punctured torus.
result The moduli space Ms(X,3)M^s(X,3) can be described as a blow-up of an embedded elliptic curve in (CP1)3(\mathbb{CP}^1)^3 and interpreted as the SU(2)SU(2) character variety of the 3-punctured torus.

No feature ranking can be faithful, stable, and complete when features are collinear.

problem The impossibility of creating a feature ranking that is simultaneously faithful, stable, and complete when features are collinear.
method Proving the impossibility, quantifying it for four model classes, resolving it via ensemble averaging (DASH), and machine-verifying it with Lean 4 theorems.
result No method lies outside the dichotomy of faithful-complete methods (unstable, with rankings that flip up to 50% of the time) and ensemble methods (stable, reporting ties for symmetric features).

Gradient descent biases towards stable rank networks for nearly-orthogonal data.

problem Understanding implicit bias in non-smooth neural networks trained by gradient descent.
method Analysis of two-layer ReLU and leaky ReLU networks trained by gradient descent on nearly-orthogonal data.
result Gradient descent biases towards networks with stable rank and uniform margin for nearly-orthogonal data.

We prove, using the subspace embedding guarantee in a black box way, that one can achieve the spectral norm guarantee for approximate matrix multiplication with a dimensionality-reducing map having m=O(r~/ε2)m = O(\tilde{r}/\varepsilon^2) rows. Here r~\tilde{r} is the maximum stable rank, i.e. squared ratio of Frobenius and op…

2015-07-08abs ↗pdf ↗

We present an algorithm, AROFAC2, which detects the (CP-)rank of a degree 3 tensor and calculates its factorization into rank-one components. We provide generative conditions for the algorithm to work and demonstrate on both synthetic and real world data that AROFAC2 is a potentially outperforming alternative to the go…

2012-11-30abs ↗pdf ↗

By only using spectral theory of the Laplace operator on spheres, we prove that the unit 3-dimensional sphere of a 2-dimensional complex subspace of C3\mathbb{C}^3 is a ΩΩ-stable submanifold with parallel mean curvature, when ΩΩ is the Kähler calibration of rank 4 of C3\mathbb{C}^3.

2011-11-14abs ↗pdf ↗

The study characterizes wobbly rank-2 bundles on Riemann surfaces using spectral curves.

problem Characterizing wobbly rank-2 bundles on Riemann surfaces.
method Using spectral curves and direct images of line bundles, the study provides sufficient and necessary conditions for wobbly bundles.
result All rank-2 wobbly bundles can be characterized as twists of direct images of line bundles.

In this paper we present a construction of stable bundles on Calabi-Yau threefolds using the method of bundle extensions. This construction applies to any given Calabi-Yau threefold with h^{1,1}>1. We give examples of stable bundles of rank 2 and 4 constructed out of pure geometric data of the given Calabi-Yau space. A…

2011-11-04abs ↗pdf ↗

In this paper we consider the topological side of a problem which is the analogue of Sen's S-duality testing conjecture for Hitchin's moduli space of rank 2 stable Higgs bundles of fixed determinant of odd degree over a Riemann surface. We prove that all intersection numbers in the compactly supported cohomology vanish…

1998-05-15abs ↗pdf ↗

Let Sigma be a smooth complex curve, and let S be the product ruled surface Sigma \times CP^1. We prove a correspondence conjectured by Donaldson between finite energy U(2)-instantons over the cylinder Sigma \times S^1 \times R, and rank 2 holomorphic bundles over S whose restrictions to the divisors at infinity are st…

2000-10-11abs ↗pdf ↗

We reveal a model rank that predicts successful recovery of target functions at overparameterization.

problem Understanding the mysterious good generalization performance of overparameterized nonlinear models.
method Rank stratification and linear stability theory for general nonlinear models.
result Linearly stable functions are preferred by nonlinear training, and model rank predicts minimal training data size.

Given a hypersurface MM of null scalar curvature in the unit sphere Sn\mathbb{S}^n, n4n\ge 4, such that its second fundamental form has rank greater than 2, we construct a singular scalar-flat hypersurface in $\Rr^{n+1}$ as a normal graph over a truncated cone generated by MM. Furthermore, this graph is 1-stable if t…

2008-12-14abs ↗pdf ↗

We introduce a new convex formulation for stable principal component pursuit (SPCP) to decompose noisy signals into low-rank and sparse representations. For numerical solutions of our SPCP formulation, we first develop a convex variational framework and then accelerate it with quasi-Newton methods. We show, via synthet…

2014-06-04abs ↗pdf ↗

We study Atlas-type models of equity markets with local characteristics that depend on both name and rank, and in ways that induce a stable capital distribution. Ergodic properties and rankings of processes are examined with reference to the theory of reflected Brownian motions in polyhedral domains. In the context of …

2009-09-01abs ↗pdf ↗

Improved stability for matrix recovery from rank-one measurements.

problem Phase retrieval problem of recovering rank-one positive semidefinite matrices.
method Developed a smoothing Newton method based on Bures-Wasserstein gradient descent.
result Superlinear convergence with rigorous guarantees and stable implementation.

New infinite family of 4-manifolds with same stable properties but not homotopy equivalent.

problem Finding infinite homotopy stable classes of 4-manifolds with boundary.
method Construction of an infinite family of topological 4-manifolds with specific properties.
result Infinite family of 4-manifolds that are stably homeomorphic but not homotopy equivalent.

RoSHAP stabilizes feature attribution in machine learning models.

problem Stochastic variation in feature attribution measures.
method Modeling feature attribution score distribution and estimating it through bootstrap resampling and kernel density estimation.
result RoSHAP provides stable feature rankings and improves model performance.

This paper uses rank correlation methods to construct MSTs from financial returns, finding them more stable and robust.

problem Stability and robustness of MSTs constructed from financial correlation matrices.
method Pearson, Spearman, and Kendall's ττ rank correlation methods applied to daily financial returns.
result Rank MSTs are more stable and robust than MSTs constructed using Pearson correlation.

In designing personalized ranking algorithms, it is desirable to encourage a high precision at the top of the ranked list. Existing methods either seek a smooth convex surrogate for a non-smooth ranking metric or directly modify updating procedures to encourage top accuracy. In this work we point out that these methods…

2017-11-10abs ↗pdf ↗

The study classifies stable submanifolds in product spaces of projective spaces.

problem Classifying stable submanifolds in product spaces of projective spaces.
method Provided a classification theorem for compact stable minimal immersions in product spaces of projective spaces.
result Characterized complex minimal immersions in the product of two complex projective spaces.

Geodesic spheres in certain symmetric spaces are quantitatively stable under small perturbations.

problem Stability of geodesic spheres in symmetric spaces under perturbations.
method Quantitative stability analysis using spectral gap of the Laplacian on geodesic spheres.
result Geodesic spheres are uniformly stable with respect to small C1C^1-volume preserving perturbations.