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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.

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9182736 · May 202619922001200920172026
48 results for secondary cohomology

Paper constructs a cohomology class related to McDuff's secondary class, proving it transgresses to the Euler class of foliated sphere bundles.

problem Finding higher-dimensional analogs of the Calabi invariant and its transgression to the Euler class.
method Constructing a cohomology class of volume-preserving diffeomorphisms and proving transgression to the Euler class of foliated sphere bundles.
result The cohomology class transgresses to the Euler class of foliated sphere bundles.

In this paper we study the variability and rigidity of secondary characteristic classes which arise from flat connections on a manifold. Considering the connection as a Lie-algebra valued one-form, we study the characteristic map from Lie algebra cohomology to de Rham cohomology of the manifold, and prove that if the L…

1999-04-22abs ↗pdf ↗

Secondary Calculus formalizes PDEs using cohomology, simplifying their study.

problem Formalizing and simplifying the study of partial differential equations (PDEs).
method Using cohomology of diffieties to formalize PDEs and their properties.
result Differential calculus on PDE solution spaces is homotopy calculus on horizontal De Rham algebras of diffieties.

We give a definition of differentiable cohomology of a Lie group G (possibly infinite-dimensional) with coefficients in any abelian Lie group. This differentiable cohomology maps both to the cohomology of the group made discrete and to Lie algebra cohomology. We show that the secondary characteristic classes of Beilins…

2000-11-11abs ↗pdf ↗

These course note first provide an introduction to secondary characteristic classes and differential cohomology. They continue with a presentation of a stable homotopy theoretic approach to the theory of differential extensions of generalized cohomology theories including products and Umkehr maps.

2012-08-20abs ↗pdf ↗

Develops differential K-theory for noncommutative algebras.

problem Creating a differential extension of algebraic K-theory for noncommutative algebras.
method Introduces secondary transgression forms and a differential refinement of the smooth Serre--Swan correspondence.
result Subsumes differential K-theory for smooth manifolds and fits into a noncommutative differential cohomology hexagon diagram.

We propose a method for calculating cohomology operations for finite simplicial complexes. Of course, there exist well--known methods for computing (co)homology groups, for example, the reduction algorithm consisting in reducing the matrices corresponding to the differential in each dimension to the Smith normal form, …

2001-10-31abs ↗pdf ↗

We refine the intersection product in homology to an equivariant setting, which unifies several known constructions. As an application, we give a common generalisation of the Chas-Sullivan string product on a manifold and the Chataur-Menichi string product on the classifying space by defining a string product on the Bo…

2015-06-01abs ↗pdf ↗

Classifies stable diffeomorphism of spin 4-manifolds with specific fundamental groups.

problem Classifying stable diffeomorphism of spin 4-manifolds with given fundamental groups.
method Formulated conjectural relationships between algebraic invariants and obstructions, proved for specific groups.
result Proved conjectures for specific fundamental groups, providing complete algebraic stable classification.

For a manifold with boundary, the restriction of Chern's transgression form of the Euler curvature form over the boundary is closed. Its cohomology class is called the secondary Chern-Euler class and used by Sha to formulate a relative Poincaré-Hopf theorem, under the condition that the metric on the manifold is locall…

2009-01-17abs ↗pdf ↗

For a local Lie group M we define odd order cohomology classes. The first class is an obstruction to globalizability of the local Lie group. The third class coincides with Godbillon-Vey class in a particular case. These classes are secondary as they emerge when curvature vanishes.

2009-12-04abs ↗pdf ↗

Using the concept of a cohesive module defined by Block, we use the theory of superconnections in the sense of Quillen to construct natural superconnections on Hermitian cohesive modules. By the Chern-Weil construction, we obtain characteristic classes with values in Bott-Chern cohomology which refines the usual deRham…

2016-11-14abs ↗pdf ↗

We prove an Atiyah-Bott-Berline-Vergne type localization formula for Killing foliations in the context of equivariant basic cohomology. As an application, we localize some Chern-Simons type invariants, for example the volume of Sasakian manifolds and secondary characteristic classes of Riemannian foliations, to the uni…

2015-08-31abs ↗pdf ↗

Extends Chern character to non-abelian cohomology, linking to physics.

problem Generalizing Chern character to non-abelian cohomology.
method Leveraging dg-algebraic rational homotopy theory and de Rham theorem.
result Generalizes Chern-Dold character, Chern-Weil homomorphism, and Cheeger-Simons homomorphism.

We formulate differential cohomology and Chern-Weil theory -- the theory of connections on fiber bundles and of gauge fields -- abstractly in the context of a certain class of higher toposes that we call "cohesive". Cocycles in this differential cohomology classify higher principal bundles equipped with cohesive struct…

2013-10-29abs ↗pdf ↗

Machine learning improves RNA secondary structure prediction.

problem Stagnant performance of RNA secondary structure prediction methods.
method Machine learning, especially deep learning, is used to predict RNA secondary structures.
result Machine learning methods have improved the prediction of RNA secondary structures.

From the cohomological point of view the symplectomorphism group Sympl(M)Sympl (M) of a symplectic manifold is `` tamer'' than the diffeomorphism group. The existence of invariant polynomials in the Lie algebra sympl(M)\frak {sympl }(M), the symplectic Chern-Weil theory, and the existence of Chern-Simons-type secondary classes are…

1995-03-16abs ↗pdf ↗

Develops connections and characteristic classes for Courant algebroids.

problem Developing a theory for Courant algebroids.
method Explicit description of cochain complex, Courant algebroid connections, special class of connections.
result Construction of secondary characteristic classes for Courant algebroids.

As was shown by Harer the second homology of Mg{\mathbb M}_g, the moduli space of compact Riemann surfaces of genus gg, is of rank 1, provided g3g \geq 3. This means a nontrivial second de Rham cohomology class on Mg{\mathbb M}_g is unique up to constant factor. But several canonical 2-forms on the moduli space have b…

2007-08-31abs ↗pdf ↗

Combinatorial transgressions are secondary invariants of a space admitting triangulations. They arise from subdivisions and are analogous to transgressive forms such as those arising in Chern-Weil theory. Unlike combinatorial characteristic classes, combinatorial transgressions have not been previously studied. First, …

2008-06-02abs ↗pdf ↗

Paper constructs a transfer map for codimension 2 submanifolds in higher index theory.

problem Higher index theory of codimension 2 submanifolds.
method Construction of codimension 2 transfer map and adjoint relationship with cyclic cohomology.
result Established adjoint relationship between codimension 2 transfer map and co-transfer map in cyclic cohomology.

Study of spectral flow in symmetric Toeplitz operator families.

problem Understanding spectral flow in families of symmetric Toeplitz operators.
method Analog of Atiyah-Singer-Robbin-Salamon theorem for Z2\mathbb{Z}_2-valued spectral flow.
result Graded secondary spectral flow equals secondary index of a Callias-type operator.

The knot invariant Upsilon, defined by Ozsvath, Stipsicz, and Szabo, induces a homomorphism from the smooth knot concordance group to the group of piecewise linear functions on the interval [0,2]. Here we define a set of related secondary invariants, each of which assigns to a knot a piecewise linear function on [0,2].…

2016-10-17abs ↗pdf ↗

The paper tackles online learning with two types of losses and shows it's impossible without certain assumptions.

problem Online learning with primary and secondary losses where the secondary loss is bounded by a linear threshold.
method Analyzes the feasibility of achieving low regret with respect to the primary loss while keeping the secondary loss within a linear threshold.
result Achieving the goal is impossible without bounded variance assumption on the secondary loss.

We revisit three results due to Morita expressing certain natural integral cohomology classes on the universal family of Riemann surfaces C_g, coming from the parallel symplectic form on the universal jacobian, in terms of the Miller-Morita-Mumford classes e and e_1. Our discussion will be on the level of the natural 2…

2013-09-04abs ↗pdf ↗

The paper defines higher invariants for groups of polynomial growth and proves their convergence.

problem Defining and proving convergence of higher invariants for groups of polynomial growth.
method Using delocalized cyclic cocycles and a determinant map construction.
result A well-defined pairing between delocalized cyclic cocyles and K-theory classes of C*-algebraic secondary higher invariants.

Fuses ITRs for primary and secondary outcomes to minimize harm.

problem Learn an ITR maximizing primary outcome while minimizing harm to secondary outcomes.
method Introduces fusion penalty to encourage similar recommendations for different outcomes. Two algorithms estimate the ITR using surrogate loss functions.
result Agreement rate between primary and secondary optimal ITRs converges faster than ignoring secondary outcomes.

We introduce two invariants called the secondary cuspidal curvature and the bias on 5/25/2-cuspidal edges, and investigate their basic properties. While the secondary cuspidal curvature is an analog of the cuspidal curvature of (ordinary) cuspidal edges, there are no invariants corresponding to the bias. We prove that t…

2017-10-16abs ↗pdf ↗

In this study, we generalize double tangent bundles to double jet bundles. We present a secondary vector bundle structure on a 1-jet of a vector bundle. We show that 1-jet of a vector bundle carries two vector bundle structures, namely primary and secondary structures. We also show that the manifold charts induced by p…

2016-01-17abs ↗pdf ↗

The study improves credit evaluation in peer-to-peer lending using machine learning.

problem Traditional credit histories are insufficient for distinguishing good from bad borrowers.
method Used machine learning classification and clustering algorithms to predict creditworthiness.
result Achieved 65% F1 and 73% AUC on LendingClub data, identifying key secondary attributes.

A famous construction of Gelfand, Kapranov and Zelevinsky associates to each finite point configuration ARdA \subset \mathbb{R}^d a polyhedral fan, which stratifies the space of weight vectors by the combinatorial types of regular subdivisions of AA. That fan arises as the normal fan of a convex polytope. In a complete…

2017-08-29abs ↗pdf ↗

New stability theorem for nonorientable surfaces mapping class groups.

problem Stability of homology groups of mapping class groups of nonorientable surfaces.
method Galatius--Kupers--Randal-Williams framework of cellular E2E_2-algebras.
result New best known stability range for homology of nonorientable surfaces.

E2Efold predicts RNA secondary structures better than previous methods.

problem RNA secondary structure prediction with constraints.
method End-to-end deep learning model using unrolled algorithms to enforce constraints.
result E2Efold predicts significantly better structures, especially for pseudoknotted structures.

PS8-Net improves eight-state protein secondary structure prediction accuracy.

problem Precise prediction of eight-state protein secondary structure (PSS) is crucial in bioinformatics.
method PS8-Net is a new deep convolutional neural network (DCNN) that uses a PS8 module with skip connections to enhance accuracy.
result PS8-Net achieves 76.89% Q8 accuracy on benchmark datasets.

Defines and proves CR invariants on five-manifolds.

problem Defines and studies CR invariants on CR five-manifolds.
method Defines global secondary CR invariants and proves their linear combination.
result Any global secondary CR invariant is a linear combination of total QQ'-curvature, total I\mathcal{I}'-curvature, and a local CR invariant.