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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.

168,695 papers · 148 categories

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121242362483 · Jun 202019922001200920172026
48 results for normal form transformations

In this article, we first describe a normal form of real-analytic, Levi-nondegenerate submanifolds of CNC^N of codimension d \ge 1 under the action of formal biholomorphisms, that is, of perturbations of Levi-nondegenerate hyperquadrics. We give a sufficient condition on the formal normal form that ensures that the n…

2017-05-11abs ↗pdf ↗

Method studies equivalence of second order ODEs under specific transformations.

problem Classifying second order ODEs modulo fibre-preserving transformations.
method Using Moser's method of normal forms and Lie algebra computations.
result Normal forms can be used to prove fibre-preserving equivalence.

Normal forms and invariants for nondegenerate hypersurfaces in C^2.

problem Equivalence problem for nondegenerate real hypersurfaces in C^2.
method Equivariant moving frames and invariant differentiation.
result A single real differential invariant of order 7 generates the entire algebra of differential invariants for nondegenerate real hypersurfaces at singularly umbilic points.

We construct a form of swallowtail singularity in R^3 which uses coordinate transformation on the source and isometry on the target. As an application, we classify configurations of asymptotic curves and characteristic curves near swallowtail.

2017-03-27abs ↗pdf ↗

Unique continuation for X-ray transforms of one-forms with partial data.

problem Proving unique continuation for X-ray transforms of one-forms with limited data.
method Proved unique continuation for the normal operator of X-ray transforms of one-forms, leading to partial data results.
result Unique continuation for X-ray transforms of one-forms with partial data.

We reduce boundary determination of an unknown function and its normal derivatives from the (possibly weighted and attenuated) broken ray data to the injectivity of certain geodesic ray transforms on the boundary. For determination of the values of the function itself we obtain the usual geodesic ray transform, but for…

2013-10-08abs ↗pdf ↗

We outline an approach to the inverse problem of Calderón that highlights the role of microlocal normal forms and propagation of singularities and extends a number of earlier results also in the anisotropic case. The main result states that from the boundary measurements it is possible to recover integrals of the unkno…

2017-02-07abs ↗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.

Flow-based deep generative models learn data distributions by transforming a simple base distribution into a complex distribution via a set of invertible transformations. Due to the invertibility, such models can score unseen data samples by computing their exact likelihood under the learned distribution. This makes fl…

2019-06-17abs ↗pdf ↗

In this paper we form relations for the determination of the elements of the Eötvös matrix of the Earth's normal gravity field. In addition a relation between the Gauss curvature of the normal equipotential surface and the Gauss curvature of the actual equipotential surface both passing through the point P is presented…

2011-07-11abs ↗pdf ↗

We consider the moduli space MN of flat unitary connections on an open Kaehler manifold U (complement of a divisor with normal crossings) with restrictions on their monodromy transformations. Using intersection and L2 cohomologies with degenerating coefficients we construct a natural symplectic form F on MN. When U is …

1997-03-09abs ↗pdf ↗

Unified methodology for statistical inference in least squares and PCA via randomized sketching.

problem Statistical inference in least squares and PCA problems.
method Randomized sketching and projections, asymptotic normality of quadratic forms.
result Unified statistical inference methods for various sketching distributions.

Transformer improves parameter estimation without needing closed-form solutions.

problem Parameter estimation in statistics, especially for complex distributions.
method Transformer-based approach for parameter estimation without closed-form solutions or derivations.
result Transformer-based approach achieves similar or better accuracy than maximum likelihood estimation.

We show that in any triangulated 3-manifold, every index n topologically minimal surface can be transformed to a surface which has local indices (as computed in each tetrahedron) that sum to at most n. This generalizes classical theorems of Kneser and Haken, and more recent theorems of Rubinstein and Stocking, and is t…

2012-10-16abs ↗pdf ↗

Firm size data usually do not show the normality that is often assumed in statistical analysis such as regression analysis. In this study we focus on two firm size data: the number of employees and sale. Those data deviate considerably from a normal distribution. To improve the normality of those data we transform them…

2015-11-23abs ↗pdf ↗

We find a closed-form determinant for a specific sparse covariance matrix model.

problem Finding the determinant of a specific class of sparse positive definite matrices.
method Using Fourier transform of local factors, Normal Factor Graph Duality Theorem, and Matrix Determinant Lemma.
result We derive a closed-form expression for the determinant.

Study normal operators of double fibration transforms with conjugate points.

problem Normal operators of double fibration transforms with conjugate points.
method Stable conditions on the distribution of conjugate points, splitting into elliptic and Fourier integral operators.
result Normal operator splits into an elliptic pseudodifferential operator and Fourier integral operators.

Study of singularities in mean curvature flow with focus on S3imesR\mathbb{S}^3 imes\mathbb{R}.

problem Understanding singularities in mean curvature flow.
method Detailed analysis of singularities modeled on S3imesR\mathbb{S}^3 imes\mathbb{R}, using normal form transformations and rescaled MCF.
result Proves mean convexity and singularity isolation in a small neighborhood, conjectures singularity formation in entire neighborhood.

Let KK be a link of Conway's normal form C(m)C(m), m0m \geq 0, or C(m,n)C(m,n) with $mn\textgreater{}0$, and let DD be a trigonal diagram of K.K. We show that it is possible to transform DD into an alternating trigonal diagram, so that all intermediate diagrams remain trigonal, and the number of crossings never increases.

2014-11-24abs ↗pdf ↗

We give reconstruction formulas inverting the geodesic X-ray transform over functions (call it I0I_0) and solenoidal vector fields on surfaces with negative curvature and strictly convex boundary. These formulas generalize the Pestov-Uhlmann formulas in [Pestov-Uhlmann, IMRN '04] (established for simple surfaces) to ca…

2015-11-17abs ↗pdf ↗

New method prevents entropy collapse in Transformer training, leading to more stable and robust models.

problem Training instability in Transformers, especially in attention layers.
method Spectral normalization with a learned scalar to prevent entropy collapse.
result Prevents entropy collapse, leading to more stable training.

The paper uses transformed ANOVA to identify important fire detection variables.

problem Identifying key variables for forest fire detection.
method Developed a complete orthonormal system for standard normal distribution, applied Z-score transformation, and used ANOVA approximation.
result Attribute ranking reveals important variables for fire detection.

The paper establishes a Poisson Poincaré-Dulac theorem for Poisson-flat connections.

problem Analyzing Poisson-flat connections with logarithmic poles.
method Defining an Euler-Poisson principal part and residue theory, establishing a Poisson Poincaré-Dulac theorem.
result Any logarithmic Poisson-flat connection is holomorphically gauge equivalent to a pure Euler-Poisson normal form.

Motivated by applications in computational anatomy, we consider a second-order problem in the calculus of variations on object manifolds that are acted upon by Lie groups of smooth invertible transformations. This problem leads to solution curves known as Riemannian cubics on object manifolds that are endowed with norm…

2011-12-29abs ↗pdf ↗

EMFs combine deep learning and probabilistic models for better density estimation.

problem Combining domain-specific knowledge with general-purpose deep learning.
method Alternating transformations with structured layers that embed domain-specific inductive biases.
result EMFs induce desirable properties like multimodality and hierarchical coupling.

The paper studies the distribution of random degeneracy sets on complex manifolds.

problem Distribution of random degeneracy sets on compact Kähler manifolds.
method Asymptotic expansion of induced Grassmannian Chern forms, meromorphic transforms, and Wishart distribution.
result Normalized currents converge to curvature forms with quantitative estimates.