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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.

168,738 papers · 148 categories

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96192287383 · May 202619922001200920172026
48 results for semi-free condition

In this paper we describe a method to establish when a symplectic manifold MM with semi-free Hamiltonian S1S^{1}-action is unique up to isomorphism (equivariant symplectomorphism). This will rely on a study of the symplectic topology of the reduced spaces. We prove that if the reduced spaces satisfy a rigidity conditi…

2005-02-16abs ↗pdf ↗

In this paper, we study smooth, semi-free actions on closed, smooth, simply connected manifolds, such that the orbit space is a smoothable manifold. We show that the only simply connected 55-manifolds admitting a smooth, semi-free circle action with fixed-point components of codimension 44 are connected sums of S3S^3

2018-05-08abs ↗pdf ↗

John Lott defined an integer-valued signature σS1(M)σ_{S^1}(M) for the orbit space of a compact orientable manifold with a semi-free S1S^1-action but he did not construct a Dirac-type operator which has this signature as its index. We construct such operator on the orbit space and we show that it is essentially unique and …

2018-02-13abs ↗pdf ↗

John Lott has computed an integer-valued signature for the orbit space of a compact orientable (4k+1)(4k+1) manifold with a semi-free S1S^1-action, which is a homotopy invariant of that space, but he did not construct a Dirac type operator which has this signature as its index. In this Thesis, we construct such operator on…

2017-11-11abs ↗pdf ↗

In this paper we introduce invariants of semi-free Hamiltonian actions of $S\sp 1$ on compact symplectic manifolds (which satisfy some technical conditions related to positivity) using the space of solutions to certain gauge theoretical equations. These equations generalize at the same time the vortex equations and the…

2000-02-15abs ↗pdf ↗

We show that, on the connected sum of complex projective planes, any toric LeBrun metric can be identified with a Joyce metric admitting a semi-free circle action through an explicit conformal equivalence. A crucial ingredient of the proof is an explicit connection form for toric LeBrun metrics.

2012-08-10abs ↗pdf ↗

This paper contains several results concerning circle action on almost-complex and smooth manifolds. More precisely, we show that, for an almost-complex manifold M2mnM^{2mn}(resp. a smooth manifold N4mnN^{4mn}), if there exists a partition λ=(λ1,...,λu)λ=(λ_{1},...,λ_{u}) of weight mm such that the Chern number $(c_{λ_{1}}... c_{λ_{…

2010-08-28abs ↗pdf ↗

We study topological T-duality for spaces with a semi-free S1S^1-action with isolated fixed points. Physically, these correspond to spacetimes containing Kaluza-Klein monopoles. We demonstrate that the physical dyonic coordinate of such spaces has an analogue in our formalism. By analogy with the Dirac monopole, we stu…

2006-12-11abs ↗pdf ↗

The study simplifies complex functions on surfaces using a special transformation.

problem Understanding functions with degenerate singularities on various surfaces.
method Established a 'normal form' for functions using a specific transformation.
result Any function in the class can be simplified to a 'simplest' Morse function through a transformation.

We explore a connection between the Finslerian area functional based on the Busemann-Hausdorff-volume form, and well-investigated Cartan functionals to solve Plateau's problem in Finsler 3-space, and prove higher regularity of solutions. Free and semi-free geometric boundary value problems, as well as the Douglas probl…

2012-09-11abs ↗pdf ↗

Kawakubo and Uchida showed that, if a closed oriented 4k4k-dimensional manifold MM admits a semi-free circle action such that the dimension of the fixed point set is less than 2k2k, then the signature of MM vanishes. In this note, by using GG-signature theorem and the rigidity of the signature operator, we generaliz…

2010-12-07abs ↗pdf ↗

Geometrically solves differentiating simplicial manifolds.

problem Differentiating simplicial manifolds.
method Establishes a normal form theorem, identifies a differentiating ideal, proves quotient semi-freeness, interprets as Chevalley-Eilenberg algebra of higher Lie algebroid.
result Introduces higher van Est map and proves van Est isomorphism theorem.

In this paper we study the topological T-dual of spaces with a non-free circle action mainly using the stack theory method of Bunke and co-workers \cite{Bunke1}. We first compare three formalisms for obtaining the Topological T-dual of a semi-free S1S^1-space in a simple example. Then, we calculate the T-dual of genera…

2013-12-06abs ↗pdf ↗

Study circle actions on unitary manifolds with discrete fixed points.

problem Understanding circle actions on compact unitary manifolds with discrete fixed points.
method Prove relationships between weights at fixed points and derive results regarding the first equivariant Chern class and Hirzebruch χyχ_y-genus.
result Derive a multigraph encoding fixed point data, leading to new insights into unitary S1S^1-manifolds.

We construct metrics of positive scalar curvature on manifolds with circle actions. One of our main results is that there exist S1S^1-invariant metrics of positive scalar curvature on every S1S^1-manifold which has a fixed point component of codimension 2. As a consequence we can prove that there are non-invariant metr…

2013-05-10abs ↗pdf ↗

We formulate a refinement of SU(N) Chern-Simons theory on a three-manifold via the refined topological string and the (2,0) theory on N M5 branes. The refined Chern-Simons theory is defined on any three-manifold with a semi-free circle action. We give an explicit solution of the theory, in terms of a one-parameter refi…

2011-05-25abs ↗pdf ↗

The paper develops a new approach to conditional risk measures using modular convex analysis.

problem Developing a new method for conditional risk measures.
method Random modular approach to conditional certainty equivalents and niveloids in the conditional LL^{\infty}-space.
result Retrieves a conditional variational formula for optimized certainty equivalents and applies it to the conditional entropic risk measure.

Paper constructs solutions to Bogomolny equations with specific boundary and asymptotic conditions.

problem Constructing solutions to Bogomolny equations with given boundary and asymptotic conditions.
method Using generalized Nahm pole boundary condition and real symmetry breaking condition.
result Solutions analogous to instanton solutions, satisfying different asymptotic conditions.

We extend probabilistic programming to handle conditioning on marginal distributions.

problem Conditioning probabilistic programs on marginal distributions of observable variables.
method We define and implement stochastic conditioning, allowing inference in probabilistic programs conditioned on marginal distributions.
result We demonstrate the effectiveness of stochastic conditioning in various real-life scenarios.

Paper finds necessary condition for logarithmic Minkowski problem in higher dimensions.

problem Logarithmic Minkowski problem in higher dimensions.
method Established a necessary condition through generalization and refinement of previous work.
result Generalizes and refines necessary condition for logarithmic Minkowski problem.

This paper introduces a neural operator for probabilistic conditioning.

problem Probabilistic conditioning of random variables XX given YY.
method Develops a single operator that maps any joint density to its conditional, approximated by neural operators.
result Neural operators can approximate the conditioning operator to arbitrary accuracy.

CSI method learns conditional distributions by estimating flow equations.

problem Learning conditional distributions in generative models.
method Estimates probability flow equations to transport reference to target distribution.
result Derives explicit expressions for conditional drift and score functions.

New conditional risk measures called conditional generalized quantiles defined and characterized.

problem Developing new risk measures for dynamic risk assessment.
method Propose and characterize conditional generalized quantiles using expected utility model and equivalent conditions.
result Characterized conditional generalized quantiles as well-defined and equivalent to a conditional first order condition.

A new method for learning conditional distributions using ODEs and neural networks.

problem Learning conditional distributions efficiently and accurately.
method Conditional Föllmer Flow, discretized with Euler's method, using nonparametric velocity estimation.
result Effective approximation of target conditional distributions, with convergence results for Wasserstein-2 distance.

Sharp statistical theory for conditional diffusion models.

problem Lack of theoretical foundation for conditional diffusion models.
method Sharp statistical theory with approximation of conditional score function.
result Sample complexity bound that adapts to data distribution smoothness.

An analysis is made of reality conditions within the context of noncommutative geometry. We show that if a covariant derivative satisfies a given left Leibniz rule then a right Leibniz rule is equivalent to the reality condition. We show also that the matrix which determines the reality condition must satisfy the Yang-…

1998-06-12abs ↗pdf ↗

We consider families of strongly consistent multivariate conditional risk measures. We show that under strong consistency these families admit a decomposition into a conditional aggregation function and a univariate conditional risk measure as introduced Hoffmann et al. (2016). Further, in analogy to the univariate cas…

2016-09-26abs ↗pdf ↗

Proposes a new method for interpreting feature importance and effects in dependent feature models.

problem Challenges in interpreting feature importance when features are dependent and interactions are present.
method Conditional Subgroup Approach
result Conditional PFI and PDP estimates based on this approach often outperform existing methods.

New boundary conditions solve Cauchy problem for Dirac operators on spacetimes.

problem Understanding non-local boundary conditions for Dirac operators on spacetimes.
method Define and analyze a class of Lorentzian boundary conditions that are local in time and non-local in spatial directions.
result Well-posed Cauchy problem for the Dirac operator is established under these conditions.

We extend CS divergence to conditional distributions and show its advantages in time series data and sequential decision making.

problem Quantifying the closeness between conditional distributions.
method Developed and estimated a conditional Cauchy-Schwarz divergence using kernel density estimation.
result Conditional CS divergence outperforms previous methods in time series clustering and sequential decision making.

We describe a Groebner basis of relations among conditional probabilities in a discrete probability space, with any set of conditioned-upon events. They may be specialized to the partially-observed random variable case, the purely conditional case, and other special cases. We also investigate the connection to generali…

2008-08-08abs ↗pdf ↗

A new method tests conditional independence by transforming it into an unconditional problem using transport maps.

problem Testing conditional independence between two random vectors given a third.
method Constructing transport maps to transform conditional independence into unconditional independence, estimating these maps from data using conditional continuous normalizing flow models.
result The proposed method is validated through simulations and real-data analysis, demonstrating practical effectiveness.

DG algorithms often fail to generalize well in limited domains, highlighting necessary vs. sufficient conditions.

problem DG algorithms fail to consistently outperform ERM in limited domains.
method Examined necessary and sufficient conditions for DG, proposing a subspace alignment method.
result DG methods focus on sufficient conditions, often neglecting necessary conditions, leading to generalization failures.