arXiv research

New framework connects two neural network theories, improving finite-width approximations.

Research proves the semi-classical limit of Liouville conformal field theory, describing deterministic geometry from random fluctuations.

Study connects knot contact homology to Chern-Simons theory's large N limit.

Study electric-magnetic duality in M-theory compactifications.

We study the rigid limit of a class of hypermultiplet moduli spaces appearing in Calabi-Yau compactifications of type IIB string theory, which is induced by a local limit of the Calabi-Yau. We show that the resulting hyperkahler manifold is obtained by performing a hyperkahler quotient of the Swann bundle over the modu…

Paper proves rigidity estimates for hyperbolic shells and applies them to \(Γ\)-limit theory.

The paper uses information theory to find limits of feedback control systems.

The paper sets limits on prediction accuracy and generalization.

We derive a dimensionally-reduced limit theory for an $n$-dimensional nonlinear elastic body that is slender along $k$ dimensions. The starting point is to view an elastic body as an $n$-dimensional Riemannian manifold together with a not necessarily isometric $W^{1,2}$-immersion in $n$-dimensional Euclidean space. The…

Study examines infinite limits of transformer dynamics, identifying key parameterizations.

We investigate the differential calculus defined by Ashtekar and Lewandowski on projective limits of manifolds by means of cylindrical smooth functions and compare it with the C^infty calculus proposed by Froehlicher and Kriegl in more general context. For products of connected manifolds, a Boman theorem is proved, sho…

Renormalization in neural networks linked to quantum field theory.

In this paper, we build tests for the presence of residual noise in a model where the market microstructure noise is a known parametric function of some variables from the limit order book. The tests compare two distinct quasi-maximum likelihood estimators of volatility, where the related model includes a residual nois…

Study the limit of Calabi-Yau metrics with degenerate skeletons.

Study boundary behavior of limit interfaces in Riemannian manifolds without convexity assumptions.

This paper uses information theory to improve risk modeling in big data.

Researchers compute invariants for knots and links in lens spaces using large N and k limits.

The study proves compactness and structure of Ricci flow limits.

A stochastic theory for the toppling activity in sandpile models is developed, based on a simple mean-field assumption about the toppling process. The theory describes the process as an anti-persistent Gaussian walk, where the diffusion coefficient is proportional to the activity. It is formulated as a generalization o…

Infinitesimal boosting converges to a deterministic process in large sample limit.

Chiral string integrands simplify to ambitwistor string integrands in the tensionless limit.

The study analyzes a three-layer neural network's training dynamics using a functional-space mean-field theory.

New deficit functions link elliptic and parabolic inequalities, proving log Sobolev.

Two Alexander polynomials emerge in a Kashaev limit, resolving a paradox.

The abstract proposes a neural network theory using quantum field theory.

Paper analyzes infinite-width attention layers using Tensor Programs.

3D BF theory on certain 3-manifolds evaluated via residues and large k limits.

We consider Yang-Mills theory with $N=2$ super translation group in $d=10$ auxiliary dimensions as the structure group. The gauge theory is defined on a direct product manifold $Σ_2\times H^2$, where $Σ_2$ is a two-dimensional Lorentzian manifold and $H^2$ is the open disc in $\mathbb{R}^2$ with the boundary $S^1=\part…

In extension theory, in particular in dimension theory, it is frequently useful to represent a given compact metrizable space X as the limit of an inverse sequence of compact polyhedra. We are going to show that, for the purposes of extension theory, it is possible to replace such an X by a better metrizable compactum …

Limited liability reduces leveraged risk in loan portfolio management models.

We develop theory for nonlinear dimensionality reduction (NLDR). A number of NLDR methods have been developed, but there is limited understanding of how these methods work and the relationships between them. There is limited basis for using existing NLDR theory for deriving new algorithms. We provide a novel framework …

Analysis of SGD for Gaussian mixture classification using dynamical mean-field theory.

Revises mean-field theory of Santa Fe model using kinetic theory.

In this paper we generalize the theory of Cheeger, Colding and Naber to certain singular spaces that arise as limits of sequences of Riemannian manifolds. This theory will have applications in the analysis of Ricci flows of bounded curvature, which we will describe in a subsequent paper.

The paper reviews a correspondence between Double Field Theory and bundle gerbes.

Subjective expected utility theory assumes that decision-makers possess unlimited computational resources to reason about their choices; however, virtually all decisions in everyday life are made under resource constraints - i.e. decision-makers are bounded in their rationality. Here we experimentally tested the predic…

In this paper, we study the properties of the colored HOMFLY polynomials via HOMFLY skein theory. We prove some limit behaviors and symmetries of the colored HOMFLY polynomial predicted in some physicists' recent works.

Compactness theory for super Ricci flows provides convergence results.

Shannon's mathematical theory of communication defines fundamental limits on how much information can be transmitted between the different components of any man-made or biological system. This paper is an informal but rigorous introduction to the main ideas implicit in Shannon's theory. An annotated reading list is pro…

We show that the maximally supersymmetric pp-waves of IIB superstring and M-theories can be obtained as a Penrose limit of the supersymmetric AdS x S solutions. In addition we find that in a certain large tension limit, the geometry seen by a brane probe in an AdS x S background is either Minkowski space or a maximally…

This work uses sampling theory to analyze smoothness and error bounds of finite neural networks.

We present a proof of Milnor conjecture in dimension 3 based on Cheeger-Colding theory on limit spaces of manifolds with Ricci curvature bounded below. It is different from [Liu] that relies on minimal surface theory.

We investigate the Penrose limits of classical string and M-theory backgrounds. We prove that the number of (super)symmetries of a supergravity background never decreases in the limit. We classify all the possible Penrose limits of AdS x S spacetimes and of supergravity brane solutions. We also present the Penrose limi…

We study long wave limits for general Schrodinger maps systems into Kahler manifolds with a constraining potential vanishing on a Lagrangian submanifold. We obtain KdV type systems set on the tangent space of the submanifold. Our general theory is applied to study the long wave limit of the Gross-Pitaevskii equation, a…

We study gravity duals to a broad class of N=2 supersymmetric gauge theories defined on a general class of three-manifold geometries. The gravity backgrounds are based on Euclidean self-dual solutions to four-dimensional gauged supergravity. As well as constructing new examples, we prove in general that for solutions d…

Study on kernel methods in large-scale machine learning problems.

The study examines how quantum resources enhance the complexity of quantum circuits.

We obtain an asymptotic formula for the eigenvalue distribution function of the Laplace-Beltrami operator on the two-dimensional torus in the adiabatic limit given by a Kronecker foliation. Related problems in number theory are discussed.