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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.

169,341 papers · 148 categories

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3.3%6.7%10.0%13.3% · Feb 199519922001200920182026
48 results for parametrized A-theory

New proof of index theorem for topological manifold bundles.

problem Index theorem for fiber bundles of compact topological manifolds.
method Use of a convenient framework for bivariant theories and recent results on the homotopy type of the topological cobordism category.
result Refinement of the assembly map for an extended A-theory characteristic.

Bökstedt and Madsen defined an infinite loop map from the embedded dd-dimensional cobordism category of Galatius, Madsen, Tillmann and Weiss to the algebraic KK-theory of BO(d)BO(d) in the sense of Waldhausen. The purpose of this paper is to establish two results in relation to this map. The first result is that it exte…

2011-10-14abs ↗pdf ↗

Develops a new geometric cobordism theory using smooth Thom stacks.

problem Creating a versatile geometric cobordism theory for various geometric data.
method Introducing smooth Thom stacks and identifying a smooth representative of the Thom functor.
result The new theory generalizes parametrized cobordism and includes families of geometric data.

The paper develops a theory for identifying the best arm in non-parametric multi-armed bandits with a fixed budget.

problem Identifying the best arm in non-parametric multi-armed bandits with a limited number of trials.
method The paper proposes upper and lower bounds on the average log-probability of misidentification using information-theoretic quantities and a refined analysis of the successive-rejects strategy.
result The paper provides new upper and lower bounds on the average log-probability of misidentification, which generalize existing bounds.

New map constructed from equivariant spectra for manifold study.

problem Understanding equivariant parametrized h-cobordism in non-manifold settings.
method Constructed a map from suspension G-spectrum to equivariant A-theory spectrum, compatible with tom Dieck splitting formulas.
result Fiber of constructed map is wedge of stable h-cobordism spectra.

Study shows reinforcement learning is possible with once-per-episode feedback.

problem Challenges of reinforcement learning with sparse feedback.
method Introduced a model where trajectory labels are generated by an unknown parametric model and developed an algorithm for sublinear regret.
result Achieved sublinear regret with a statistically and computationally efficient algorithm.

Theory explains power-law distributions without complex models.

problem Understanding power-law distributions in geometrically growing systems.
method Developed a theory of geometrically growing systems and applied it to explain various distributions.
result The geometrically growing system's distribution flattens over time, increasing relative size ratios.

Developed a theory of local convexity for second order differential equations on Lie algebroids.

problem Analyzing convexity in differential equations on Lie algebroids.
method Theory development for local convexity of SODEs on Lie algebroids.
result Extensive discussion of homogeneous quadratic SODEs on Lie algebroids.

We introduce a theory of stochastic integration with respect to a family of semimartingales depending on a continuous parameter, as a mathematical background to the theory of bond markets. We apply our results to the problem of super-replication and utility maximization from terminal wealth in a bond market. Finally, w…

2006-02-23abs ↗pdf ↗

Just as gauge theory describes the parallel transport of point particles using connections on bundles, higher gauge theory describes the parallel transport of 1-dimensional objects (e.g. strings) using 2-connections on 2-bundles. A 2-bundle is a categorified version of a bundle: that is, one where the fiber is not a ma…

2005-11-29abs ↗pdf ↗

This paper defines a theory of cobordism for virtual knots and studies this theory for standard and rotational virtual knots and links. Non-trivial examples of virtual slice knots are given. Determinations of the four-ball genus of positive virtual knots are given using the results of a companion paper by the author an…

2014-09-01abs ↗pdf ↗

The paper develops a theory of CC^\infty-superrings and their superschemes.

problem Developing a theory for CC^\infty-superrings and superschemes.
method Proving an equivalence between categories of fair affine CC^\infty-superschemes and fair CC^\infty-superrings.
result A key equivalence between fair affine CC^\infty-superschemes and fair CC^\infty-superrings.

Levy processes, which have stationary independent increments, are ideal for modelling the various types of noise that can arise in communication channels. If a Levy process admits exponential moments, then there exists a parametric family of measure changes called Esscher transformations. If the parameter is replaced w…

2012-07-17abs ↗pdf ↗

A theory of feature geometry using spectral analysis of weight matrices.

problem Current methods decompose neural network activations into sparse linear features, losing geometric structure.
method Develops a theory by analyzing the spectra of weight-derived matrices, introducing the frame operator.
result Features collapse onto single eigenspaces, organizing into tight frames, and admit discrete classification.

Paper develops a theory for Patterson-Sullivan measures in higher rank symmetric spaces.

problem Establishing existence and uniqueness of Patterson-Sullivan measures in higher rank symmetric spaces.
method Develops theory for vector-valued horofunction boundaries and shadows.
result Proves existence and uniqueness of Patterson-Sullivan measures for transverse groups.

We develop a theory of `non-uniformly local' tent spaces on metric measure spaces. As our main result, we give a remarkably simple proof of the atomic decomposition.

2013-09-23abs ↗pdf ↗

A theory of deep learning is emerging, focusing on training dynamics and statistics.

problem Develop a scientific theory to understand deep learning.
method Synthesize research into five areas: idealized settings, tractable limits, mathematical laws, hyperparameters, and universal behaviors.
result The emerging theory is a mechanics of the learning process, named learning mechanics.

We formulate a theory of pointed manifolds, accommodating both embeddings and Pontryagin-Thom collapse maps, so as to present a common generalization of Poincaré duality in topology and Koszul duality in En\mathcal{E}_n-algebra.

2014-09-09abs ↗pdf ↗

Develops a theory to make learning solutions fair and safe.

problem Ensuring learning solutions are unbiased and safe in critical applications.
method Generates a generalization theory based on PAC learning framework, introduces constrained learning algorithm.
result Proves that constrained learning is as learnable as unconstrained learning, provides practical algorithm.

We present a theory and applications of discrete exterior calculus on simplicial complexes of arbitrary finite dimension. This can be thought of as calculus on a discrete space. Our theory includes not only discrete differential forms but also discrete vector fields and the operators acting on these objects. This allow…

2005-08-18abs ↗pdf ↗

A theory of topological gravity is a homotopy-theoretic representation of the Segal-Tillmann topologification of a two-category with cobordisms as morphisms. This note describes a relatively accessible example of such a thing, suggested by the wall-crossing formulas of Donaldson theory.

2000-07-04abs ↗pdf ↗

The study provides a theory for causal machine learning with generalization bounds.

problem Lack of theoretical guarantees for causal machine learning algorithms.
method Introduces a novel change-of-measure inequality to bound model loss.
result Tight bounds on model loss in terms of treatment propensities deviation.

The paper demonstrates that falsifiability is fundamental to learning. We prove the following theorem for statistical learning and sequential prediction: If a theory is falsifiable then it is learnable -- i.e. admits a strategy that predicts optimally. An analogous result is shown for universal induction.

2014-08-28abs ↗pdf ↗

Financial derivatives have often been criticized as casino-style betting instruments. It turns out that many naive ways of making them are indeed equivalent to gambling. Fortunately, this inadvertent effect can be understood and prevented. We present a theory of product design which achieves that.

2013-04-28abs ↗pdf ↗

The paper develops a theory for speculative decoding acceptance criteria.

problem Speculative decoding's acceptance criteria and their rejection regions.
method Characterization of rejection regions as lower level sets of the target distribution, derivation of exact and margin-based certificates.
result Relaxed and tree-based acceptance criteria substantially enlarge the region of certified acceptance.

We consider the Frenet-Serret geometry of null curves in a three and a four-dimensional Minkowski background. We develop a theory of deformations adapted to the Frenet-Serret frame. We exploit it to provide a Lagrangian description of the dynamics of geometric models for null curves.

2007-02-13abs ↗pdf ↗

In this paper we develope a theory of reduction for classical systems with Poisson Lie groups symmetries using the notion of momentum map introduced by Lu. The local description of Poisson manifolds and Poisson Lie groups and the properties of Lu's momentum map allow us to define a Poisson reduced space.

2011-06-20abs ↗pdf ↗

We develop a theory of Nobeling manifolds similar to the theory of Hilbert space manifolds. We show that it reflects the theory of Menger manifolds developed by M. Bestvina and is its counterpart in the realm of complete spaces. In particular, the Nobeling manifold characterization conjecture is proven.

2006-02-27abs ↗pdf ↗

This paper develops a theory of graded manifolds in differential geometry.

problem Defining consistent global descriptions of graded manifolds with mixed graded coordinates.
method Using sheaves of graded commutative associative algebras on topological spaces.
result Resolved known issues in the definition of graded manifolds, especially those involving mixed graded coordinates.