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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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326495127 · May 202619922001200920172026
48 results for porous media equation

In this paper, we study the discrete Morse flow for the Ricci flow on football, which is the 2-sphere with removed north and south poles and with the metric g0g_0 of constant scalar curvature, and and for Porous media equation on a bounded regular domain in the plane. We show that with a suitable assumption about $g(0)…

2012-03-10abs ↗pdf ↗

Fractional porous media equations yield q-Gaussian solutions for stock price returns.

problem Modeling stock price returns using fractional porous media equations.
method Analyzed three types of fractional extensions of the porous media equation.
result Local and non-local fractional extensions fit S&P 500 data better than classical models.

In this work, we analyze the flow filtration process of slightly compressible fluids in porous media containing man made fractures with complex geometries. We model the coupled fracture-porous media system where the linear Darcy flow is considered in porous media and the nonlinear Forchheimer equation is used inside th…

2019-05-18abs ↗pdf ↗

Deep learning predicts fluid flow in porous media, accelerating simulations by orders of magnitude.

problem Accurate simulation of fluid flow in complex porous media requires excessive computational resources.
method Combining deep learning with direct simulation, using Gated U-Net CNNs trained on datasets of 2D and 3D porous media.
result Deep learning predictions can reach over 90% accuracy for permeability estimation and accelerate simulations by orders of magnitude.

A new hybrid approach combines physics and machine learning for porous media transport.

problem Simulating 2-phase immiscible transport in porous media.
method Physics-informed deep learning with adversarial neural networks and automatic differentiation.
result The model accurately simulates shock and rarefaction phenomena with limited data.

We analyze the Standard & Poor's 500 stock market index from the last 22 years. The probability density function of price returns exhibits two well-distinguished regimes with self-similar structure: the first one displays strong super-diffusion together with short-time correlations, and the second one corresponds to we…

2019-02-11abs ↗pdf ↗

In this paper, we consider three typical problems on a locally finite connected graph. The first one is to study the Bochner formula for the Laplacian operator on a locally finite connected graph. We use the Bochner formula to derive the Bernstein type estimate of the heat equation. The second is to derive the Reilly t…

2013-04-01abs ↗pdf ↗

Deep Gaussian processes reduce uncertainty in porous media flow modeling.

problem Uncertainty quantification in flow through heterogeneous porous media.
method Multi-layer hierarchical Gaussian process with variational approximation.
result Automatic selection of hidden layer dimensions and uncertainty propagation.

Paper extends Aronson-Bénilan estimates for porous medium equations on manifolds with negative curvature.

problem Estimating gradients for porous medium equations on manifolds with negative curvature.
method Develops Aronson-Bénilan gradient estimates for porous medium equations under lower bounds of NN-weighted Ricci curvature with N<0N < 0.
result Generalizes gradient estimates for porous medium equations to manifolds with negative curvature.

Researchers study fractional porous medium equation on hyperbolic space.

problem Analyzing the fractional porous medium equation on hyperbolic space.
method Existence results for solutions in weak sense, using fractional Laplacian and Green's function.
result Proves different smoothing effects for solutions.

In this paper, we study the gradient estimates for the positive solutions of the weighted porous medium equation Δum=δ(x)ut+ψumΔu^{m}=δ(x)u_{t}+ψu^{m} on graphs for m>1m>1, which is a nonlinear version of the heat equation. Moreover, as applications, we derive a Harnack inequality and the estimates of the porous medium kernel on …

2019-03-13abs ↗pdf ↗

Study nonnegative solutions on Riemannian manifolds using fractional porous medium equation.

problem Analyzing solutions to fractional porous medium equation on noncompact Riemannian manifolds.
method Existence and smoothing estimates for weak solutions in L1L^1 and weighted spaces.
result Results hold for Euclidean and hyperbolic spaces, including larger data classes.

The paper derives gradient estimates for porous medium and fast diffusion equations on metric measure spaces.

problem Gradient estimates for porous medium and fast diffusion equations on metric measure spaces.
method Derives Li-Yau and Souplet-Zhang type gradient estimates for the given equations.
result Gradient estimates for the equations on complete noncompact metric measure spaces with compact boundary.

In this paper we study gradient estimates for the positive solutions of the porous medium equation: ut=Δumu_t=Δu^m where m>1m>1, which is a nonlinear version of the heat equation. We derive local gradient estimates of the Li-Yau type for positive solutions of porous medium equations on Riemannian manifolds with Ricci curv…

2011-06-13abs ↗pdf ↗

Researchers solve porous medium equation on noncompact manifolds with Ricci curvature.

problem Solving porous medium equation on noncompact manifolds with nonnegative Ricci curvature.
method Constructing a space X of functions larger than L1, in which the Green function on M appears as a weight, to solve the PME.
result The porous medium equation admits a solution in the weak dual sense for certain initial data.

Toda flow explained as a porous medium equation.

problem Understanding the Toda flow through the lens of porous medium equations.
method Analyzing the geometry and dynamics of the porous medium equation and comparing it to the Toda flow.
result The Toda flow can be represented as a specific porous medium equation, revealing its gradient and Hamiltonian nature.

The objective for this work is to develop a data-driven proxy to high-fidelity numerical flow simulations using digital images. The proposed model can capture the flow field and permeability in a large verity of digital porous media based on solid grain geometry and pore size distribution by detailed analyses of the lo…

2019-04-25abs ↗pdf ↗

The paper solves a complex financial optimization problem using a novel mathematical technique.

problem Optimizing portfolio selection in financial markets.
method Maximal monotone operator method and Riccati transformation.
result Existence and uniqueness of a solution to the transformed parabolic equation in a Sobolev space.

Global solutions and smoothing effects for reaction-diffusion equations on manifolds.

problem Global existence and smoothing effects for reaction-diffusion equations on Riemannian manifolds.
method Functional analytic methods, Sobolev and Poincaré inequalities.
result Existence of global solutions under certain conditions on the manifold.

Let (M,g(t))(M, g(t)), t[0,T)t\in[0,T) be a closed Riemannian nn-manifold whose Riemannian metric g(t)g(t) evolves by the geometric flow tgij=2Sij \frac{\partial }{\partial t} g_{ij}=-2S_{ij} , where Sij(t)S_{ij}(t) is a symmetric two-tensor on (M,g(t))(M,g(t)). We discuss differential Harnack estimates for positive solution to the porous medium …

2019-01-30abs ↗pdf ↗

The paper introduces new uniformity and homogeneity concepts for Cosserat media.

problem Characterizing uniformity and homogeneity in Cosserat media.
method Using groupoids and smooth distributions, the authors derive three canonical equations to characterize uniformity and homogeneity.
result The paper provides a unique and maximal division of Cosserat media into uniform and second-grade parts.

Study eigenvalue problems on Riemannian manifolds with specific curvature conditions.

problem Finding eigenvalues and eigenfunctions for quasilinear equations on Riemannian manifolds.
method Generalized Cheng--Yau gradient estimate for quasilinear equations on complete Riemannian manifolds.
result Eigenvalues give rise to unbounded eigenfunctions under certain conditions.

SIP framework discovers governing equations in uncertain systems.

problem Discovering governing equations in systems with input variability and noisy data.
method SIP framework treats unknown coefficients as random variables and infers their posterior distribution by minimizing Kullback-Leibler divergence.
result SIP consistently identifies correct equations and lowers coefficient error by 82% relative to SINDy.

New method solves high-dimensional Bayesian inverse problems efficiently.

problem Efficiently solving high-dimensional Bayesian inverse problems with limited data.
method Physics-informed Neural Operators with RealNVP architecture for invertibility and differentiability.
result Accurate approximations of the full posterior without additional forward solves or sampling.

This study proposes an efficient surrogate for Darcy flow inverse problems.

problem Efficiently constructing accurate surrogate models for high-dimensional complex inverse problems.
method Sequential Bayesian design strategy to acquire a locally accurate surrogate model focusing on high-probability regions.
result The proposed method accelerates inversion accuracy and computational speed.

This research proves that quadratic regularized optimal transport can approximate the Laplace-Beltrami operator on smooth manifolds.

problem Approximating the Laplace-Beltrami operator using optimal transport with quadratic regularization.
method Deriving first-order optimal potentials and analyzing the convergence of discrete Laplace operators.
result The discrete Laplace operators converge to the Laplace-Beltrami operator on smooth manifolds.