New ML methods improve physical system understanding by quantifying uncertainty across diverse regimes.
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.
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Study on uniquely determining thermal properties from boundary temperature and heat flux measurements.
The main objective of the paper is to prove a geometric version of sharp trace and product estimates on null hypersurfaces with finite curvature flux. These estimates play a crucial role to control the geometry of such null hypersurfaces. The paper is based on an invariant version of the classical Littlewood -Paley the…
Although a key driver of Earth's climate system, global land-atmosphere energy fluxes are poorly constrained. Here we use machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate net radiation, latent and sensible heat and their uncer…
New analysis identifies key factors in wildfire-generated thunderstorms.
Classifies domains critical for heat content and exit-time moments.
Heat flow on lens spaces settles into Morse functions with four critical points.
The paper studies heat kernel asymptotics and proves Morse inequalities.
Trivial solution proof for heat equation on certain manifolds.
Study proves energy critical heat equation solutions are Type I blowups for n ≥ 7.
Exponential rate of convergence for harmonic heat flow maps.
We study harmonic maps from surfaces coupled to a scalar and a two-form potential, which arise as critical points of the action of the full bosonic string. We investigate several analytic and geometric properties of these maps and prove an existence result by the heat flow method.
Metabolic flux balance analyses are a standard tool in analysing metabolic reaction rates compatible with measurements, steady-state and the metabolic reaction network stoichiometry. Flux analysis methods commonly place unrealistic assumptions on fluxes due to the convenience of formulating the problem as a linear prog…
We prove the existence of a unique global weak solution to the full bosonic string heat flow from closed Riemannian surfaces to an arbitrary target under smallness conditions on the two-form and the scalar potential. The solution is smooth with the exception of finitely many singular points. Finally, we discuss the con…
We prove the closure for the sequential weak -topology of the class of vectorfields on having integer flux through almost every sphere. We show how this problem is connected to the study of the minimization problem for the Yang-Mills functional in dimension higher than critical, in the abelian case.
Study evaluates Tree-Ring Watermarking in rectified flow-based models, revealing detection and separability limitations.
Study on Yang-Mills heat flow on bundles, showing infinite time bubbling.
Study eigenvalues of magnetic Steklov problem on Riemannian annuli.
Study introduces a probabilistic framework for air-sea fluxes using neural networks.
On the space of positive 3-forms on a seven-manifold, we study a natural functional whose critical points induce metrics with holonomy contained in . We prove short-time existence and uniqueness for its negative gradient flow. Furthermore, we show that the flow exists for all times and converges modulo diffeomorph…
11D supergravity completes with quantized C-field flux.
We study the flux homomorphism for closed forms of arbitrary degree, with special emphasis on volume forms and on symplectic forms. The volume flux group is an invariant of the underlying manifold, whose non-vanishing implies that the manifold resembles one with a circle action with homologically essential orbits.
We define an activity dependent branching ratio that allows comparison of different time series . The branching ratio is defined as . The random variable is the value of the next signal given that the previous one is equal to , so . If , the process is …
Analyzes quantization of flux observables in gauge theories.
M5-branes' flux quantization linked to non-abelian cohomology.
Study on Euler class and flux homomorphisms for non-orientable surfaces.
It is known that the topological T-duality exchanges and -fluxes. In this paper, we reformulate the topological T-duality as an exchange of two Lie algebroids in the generalized tangent bundle. Then, we apply the same formulation to the Poisson-generalized geometry, which is introduced in arXiv:1408.2649 to defi…
A line field on a manifold is a smooth map which assigns a tangent line to all but a finite number of points of the manifold. As such, it can be seen as a generalization of vector fields. They model a number of geometric and physical properties, e.g. the principal curvature directions dynamics on surfaces or the stress…
This paper proposes an unsupervised learning method to solve heat equations on chips.
We give a systematic derivation of the local expressions of the NS H-flux, geometric F- as well as non-geometric Q- and R-fluxes in terms of bivector beta- and two-form B-potentials including vielbeins. They are obtained using a supergeometric method on QP-manifolds by twist of the standard Courant algebroid on the gen…
FLUXtrapolation benchmarks machine learning for extrapolating ecosystem fluxes under distribution shifts.
Combines machine learning and convex limiting for accurate subgrid flux modeling in shallow-water equations.
Study finds multiple solutions for Gross-Pitaevskii equations on curved spaces.
We compute the flux of Killing fields through ends of constant mean curvature 1 in hyperbolic space, and we prove a result conjectured by Rossman, Umehara and Yamada : the flux matrix they have defined is equivalent to the flux of Killing fields. We next give a geometric description of embedded ends of finite total cur…
New correspondence links fluxless to fluxy flag manifolds via T-duality.
Starting from a higher Courant bracket associated to exceptional generalized geometry, we provide a systematic derivation of all types of fluxes and their Bianchi identities for four-dimensional compactifications of M-theory. We show that these fluxes may be understood as generalized Wess-Zumino terms in certain topolo…
New method for flux quantization on phase space stacks.
Paper studies flows of spinor fields with flux for unified theories.
The paper investigates subelliptic harmonic maps with potential using heat flow.
We compute a sharp small-time estimate for the price of a basket call under a bi-variate SABR model with both parameters equal to and three correlation parameters, which extends the work of Bayer,Friz&Laurence [BFL14] for the multivariate Black-Scholes flat vol model. The result follows from the heat kernel on …
Machine learning and deep learning infer surface/groundwater exchange from temperature data.
Modernizes higher-dimensional supergravity, linking it to flux quantization.
Introduces optimization geometrodynamics for dynamic geometric optimization.
Invariant predicts H-flux behavior under T-duality.
On a closed symplectic surface Sigma of genus two or more, we give a new construction of an extended flux map (a crossed homomorphism from the symplectomorphism group Symp(Sigma) to the cohomology group H^1(Sigma;R) that extends the flux homomorphism). This construction uses the topology of the Jacobian of the surface …
New mathematical framework connects M-theory charges to stable homotopy groups.
A novel gravity theory based on Poisson Generalized Geometry is investigated. A gravity theory on a Poisson manifold equipped with a Riemannian metric is constructed from a contravariant version of the Levi-Civita connection, which is based on the Lie algebroid of a Poisson manifold. Then, we show that in Poisson Gener…
For a complete minimal surface in the Euclidean 3-space, the so-called flux vector corresponds to each end. The flux vectors are balanced, i.e., the sum of those over all ends are zero. Consider the following inverse problem: For each balanced n vectors, find an n-end catenoid which attains given vectors as flux. Here,…