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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.

168,742 papers · 148 categories

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4794140187 · May 202619922001200920172026
48 results for p-d'Alembertian operator

Researchers prove a 30-year-old cosmological conjecture about spacetime.

problem The rigidity of the cosmological Hawking--Penrose singularity theorem.
method Combining global viscosity solutions and elliptic approaches.
result A timelike geodesically complete spacetime splits isometrically as a Lorentzian product.

New splitting theorem for weighted Finsler spacetimes without Berwald condition.

problem Proving timelike splitting theorems for Finsler spacetimes under weaker conditions.
method Using the pp-d'Alembertian and a recently developed strategy.
result Established a diffeomorphic splitting for timelike geodesically complete Finsler spacetimes.

New approach to gravity theory sacrifices smoothness for ellipticity.

problem Developing a nonsmooth theory of gravity.
method Using a negative homogeneity p-d'Alembert operator to sacrifice linearity for ellipticity.
result Obtained a low-regularity splitting theorem.

Refines d'Alembertian for signed Lorentz distance functions in metric measure spacetimes.

problem Exact representation and bounds of d'Alembertian for signed Lorentz distance functions.
method Metric geometry techniques, localization, Sobolev calculus.
result Distributional d'Alembertian is a signed measure with integration by parts formula.

We define local Hardy spaces of differential forms hDp(TM)h^p_{\mathcal D}(\wedge T^*M) for all p[1,]p\in[1,\infty] that are adapted to a class of first order differential operators D\mathcal D on a complete Riemannian manifold MM with at most exponential volume growth. In particular, if DD is the Hodge--Dirac operator on $…

2010-03-31abs ↗pdf ↗

In this note, we consider the Dirac operator DD on a Riemannian symmetric space MM of noncompact type. Using representation theory we show that DD has point spectrum iff the A^\hat A-genus of its compact dual does not vanish. In this case, if MM is irreducible then M=U(p,q)/U(p)×U(q)M = U(p,q)/U(p) \times U(q) with p+qp+q odd, and …

1999-03-30abs ↗pdf ↗

The paper presents a probabilistic framework for SPD matrices in machine learning.

problem Machine learning on SPD matrices is fragmented; this paper aims to unify it.
method Unified probabilistic framework using Gaussian distributions and Bayes classifiers.
result Different SPD machine learning tools can be reinterpreted and extended using Gaussian distributions.

We compute the bi-Hamiltonian cohomology of an arbitrary dispersionless Poisson pencil in a single dependent variable using a spectral sequence method. As in the KdV case, we obtain that BHdp(F^,d1,d2)BH^p_d(\hat{F}, d_1,d_2) is isomorphic to R\mathbb{R} for (p,d)=(0,0)(p,d)=(0,0), to C(R)C^\infty (\mathbb{R}) for (p,d)=(1,1)(p,d)=(1,1), (2,1)(2,1), $(…

2015-05-14abs ↗pdf ↗

Paper tackles unsupervised learning under latent label shift across domains.

problem Discovering classes from unlabeled data with shifting label distributions.
method Introduces unsupervised learning under Latent Label Shift (LLS), leveraging domain-discriminative models.
result Proves that with domain information, unsupervised classification can improve upon standard methods.

Let XX be a compact manifold, DD a real elliptic operator on XX, GG a Lie group, PXP\to X a principal GG-bundle, and BP{\mathcal B}_P the infinite-dimensional moduli space of all connections P\nabla_P on PP modulo gauge, as a topological stack. For each [P]BP[\nabla_P]\in{\mathcal B}_P, we can consider the twisted …

2018-11-02abs ↗pdf ↗

Paper revisits DP-SCO in Euclidean and pd\ell_p^d spaces, focusing on constrained and bounded sets.

problem Differentially private stochastic convex optimization in constrained and bounded sets in Euclidean and pd\ell_p^d spaces.
method Proposes methods achieving excess population risks dependent on Gaussian width of the constraint set, and novel algorithms for unconstrained and heavy-tailed data.
result Theoretical results for DP-SCO in pd\ell_p^d spaces, including optimal bounds for strongly convex functions.

We construct a family of PL triangulations of the dd-dimensional real projective space RPd\mathbb{R}P^d on Θ((1+52)d+1)Θ((\frac{1+\sqrt{5}}{2})^{d+1}) vertices for every d1d\geq 1. This improves a construction due to Kühnel on 2d+112^{d+1}-1 vertices.

2019-10-16abs ↗pdf ↗

We study the interplay between the minimal representations of the orthogonal Lie algebra g=so(n+2,C)\mathfrak{g}=\mathfrak{so}(n+2,\mathbb{C}) and the \emph{algebra of symmetries} S(r)\mathscr{S}(\Box^r) of powers of the Laplacian \Box on Cn\mathbb{C}^{n}. The connection is made through the construction of highest weight repres…

2015-08-07abs ↗pdf ↗

Let (M,g) be a compact manifold of dimension n greater or equals to 3. We suppose that g is a given metric in a precised Sobolev space and there is a point P in M and d>o such that g is smooth on the ball B(P,d). We define the second Yamabe invariant with singularities a the minimum of the second eigenvalue of the sing…

2012-11-01abs ↗pdf ↗

We consider discrete nets in Grassmannians Grd\mathbb{G}^d_r which generalize Q-nets (maps ZNPd\mathbb{Z}^N\to\mathbb{P}^d with planar elementary quadrilaterals) and Darboux nets (Pd\mathbb{P}^d-valued maps defined on the edges of ZN\mathbb{Z}^N such that quadruples of points corresponding to elementary squares are all co…

2008-12-30abs ↗pdf ↗

Carter tensor analysis aids wave equation on Kerr-Newman spacetime.

problem Analyzing perturbations of Kerr-Newman spacetime using wave equation.
method Physical-space analysis adapted to Kerr-Newman spacetime, leveraging Carter operator commutation.
result Carter operator commutes with wave equation on Kerr-Newman spacetime, enabling wave equation analysis.

Predicts cryptocurrency pump probability using sequence-based neural networks.

problem Detecting pump-and-dump schemes in cryptocurrency markets.
method Developed a sequence-based neural network (SNN) that encodes historical P&D events into sequences for prediction.
result SNN improves prediction accuracy by leveraging positional attention to extract useful information.

Study cone structures on contact manifolds to understand their geometric properties.

problem Characterize cone structures on holomorphic contact manifolds.
method Characterize subadjoint varieties among Legendrian submanifolds in terms of contact prolongations.
result Holomorphic horizontal splitting of the canonical distribution on contact G-structures.

The moduli space of lattices of C\mathbb{C} is a Riemann surface of finite hyperbolic area with the square lattice as an origin. We select a lattice from the induced uniform distribution and calculate the statistics of the Teichmüller distance to the origin. This in turn identifies distribution of the distance in Teic…

2018-07-29abs ↗pdf ↗

We establish new Calderón reproducing formulas for self-adjoint operators DD that generate strongly continuous groups with finite propagation speed. These formulas allow the analysing function to interact with DD through holomorphic functional calculus whilst the synthesising function interacts with DD through funct…

2013-03-31abs ↗pdf ↗

The paper analyzes convergence rates of Gaussian process approximations for scalable regression.

problem Characterizing convergence rates of Gaussian process approximations for scalable regression.
method Analysis of kernel functions and dataset-size nn for isotropic kernels like Matérn and squared-exponential.
result Upper and lower bounds on predictive MSE and calibration metric convergence rates are derived.

The paper proves a Calabi-Yau structure on complexifications of rank two symmetric spaces.

problem Existence of Calabi-Yau structures on complexifications of symmetric spaces.
method Using orbit geometry and shape operators, the authors prove the existence of a Calabi-Yau structure.
result A Calabi-Yau structure exists on the complexification of rank two symmetric spaces.

Generates semigroups for differential expressions on Riemannian manifolds.

problem Analyzing differential expressions on Riemannian manifolds.
method Study of generalized Ornstein-Uhlenbeck differential expressions and their maximal realizations.
result Generates analytic quasi-contractive semigroups in weighted LpL^p-spaces.

We show that all knots up to 66 crossings can be represented by polynomial knots of degree at most 77, among which except for 52,52,61,61,62,625_2, 5_2^*, 6_1, 6_1^*, 6_2, 6_2^* and 636_3 all are in their minimal degree representation. We provide concrete polynomial representation of all these knots. Durfee and O'Shea had asked a q…

2014-10-21abs ↗pdf ↗

For a bounded domain DD and a real number p>0p>0, we denote by Ap(D)A^p(D) the space of LpL^p integrable holomorphic functions on DD, equipped with the LpL^p- pseudonorm. We prove that two bounded hyperconvex domains $D_1\subset \mc^n$ and $D_2\subset \mc^m$ are biholomorphic (in particular n=mn=m) if there is a linear is…

2019-01-24abs ↗pdf ↗

In this paper we investigate the computational complexity of learning the graph structure underlying a discrete undirected graphical model from i.i.d. samples. We first observe that the notoriously difficult problem of learning parities with noise can be captured as a special case of learning graphical models. This lea…

2014-12-03abs ↗pdf ↗

In this paper we study the topology of three different kinds of spaces associated to polynomial knots of degree at most dd, for d2d\geq2. We denote these spaces by Od\mathcal{O}_d, Pd\mathcal{P}_d and Qd\mathcal{Q}_d. For d3d\geq3, we show that the spaces Od\mathcal{O}_d and Pd\mathcal{P}_d are path connected and the …

2016-03-30abs ↗pdf ↗

We study the least squares regression problem \begin{align*} \min_{Θ\in \mathcal{S}_{\odot D,R}} \|AΘ-b\|_2, \end{align*} where SD,R\mathcal{S}_{\odot D,R} is the set of ΘΘ for which Θ=r=1Rθ1(r)θD(r)Θ= \sum_{r=1}^{R} θ_1^{(r)} \circ \cdots \circ θ_D^{(r)} for vectors θd(r)Rpdθ_d^{(r)} \in \mathbb{R}^{p_d} for all r[R]r \in [R] and $d \in [D]…

2017-09-20abs ↗pdf ↗

The study examines growth of quadratic forms under Anosov subgroups.

problem Growth of quadratic forms under Anosov subgroups.
method Analyzes exponential bounds and asymptotic counting functions for distances between geodesic copies of symmetric spaces.
result Shows asymptotic behavior of counting functions for certain choices of quadratic forms.

Study improves detection of cryptocurrency pump-and-dump schemes.

problem Class imbalance in P&D detection due to rare events.
method Synthetic Minority Oversampling Technique (SMOTE) and ensemble learning models.
result XGBoost and LightGBM achieved high recall rates (94.87% and 93.59%) with strong F1-scores.

New construction shows VMRTs of unbendable curves can be Legendrian.

problem Characterize VMRTs of unbendable rational curves under contact structures.
method Used geometry of contact lines and symplectic geometry of distributions.
result VMRTs of Legendrian submanifolds can be realized.

This econophysics work studies the long-range Ising model of a finite system with NN spins and the exchange interaction JN\frac{J}{N} and the external field HH as a modely for homogeneous credit portfolio of assets with default probability PdP_{d} and default correlation ρdρ_{d}. Based on the discussion on the $(J,H)…

2006-03-06abs ↗pdf ↗

Optimistic covariance-adaptive algorithms improve combinatorial semi-bandits regret.

problem Optimal regret in stochastic combinatorial semi-bandits with adaptive covariance estimation.
method Design of OLS-UCB-C and COS-V algorithms leveraging online covariance estimation.
result Improved gap-free regret with T^1/2 complexity for COS-V.