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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.

169,291 papers · 148 categories

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89179268357 · Jun 202019922001200920182026
48 results for weighted energy identity

New energy identity found for biharmonic maps into spheres.

problem Establishing energy identity for biharmonic maps in supercritical dimensions.
method Adapting Lin-Rivière's strategy for sphere-valued maps.
result Energy identity for stationary biharmonic maps into spheres in supercritical dimensions n5n\ge 5.

A new energy-efficient pruning method for federated learning.

problem Energy inefficiency in gradient sparsification for federated learning.
method Formalized energy-constrained projection problem and proposed Cost-Weighted Magnitude Pruning (CWMP).
result CWMP optimally balances performance and energy efficiency in federated learning.

The paper extends energy identities and neck existence for ε-harmonic maps.

problem Understanding the energy identity and neck formation for ε-harmonic maps.
method Finding analogues of energy identities and neck existence results for ε-harmonic maps.
result Specific quantities determine energy identity and neck formation for ε-harmonic maps.

The paper proves an energy identity for Dirac-harmonic maps from surfaces with boundary.

problem Analyzing the behavior of Dirac-harmonic maps near the boundary of surfaces.
method Analyzing sequences of coupled fields and applying blow-up techniques.
result Energy identity holds during blow-up processes for Dirac-harmonic maps.

Paper proves energy identity and no-neck property for special harmonic maps.

problem Analyzing special harmonic maps with homogeneous targets.
method Introduced equivariant embedding for ε\varepsilon-harmonic case.
result Energy identity and no-neck property established for ε\varepsilon- and αα-harmonic maps.

We describe a new interpretation of the fractional GJMS operators as generalized Dirichlet-to-Neumann operators associated to weighted GJMS operators on naturally associated smooth metric measure spaces. This gives a geometric interpretation of the Caffarelli--Silvestre extension for (Δ)γ(-Δ)^γ when γ(0,1)γ\in(0,1), and both…

2014-06-07abs ↗pdf ↗

The identity map of certain Einstein manifolds is stable in both energy and bienergy.

problem Stability of the identity map in Einstein manifolds.
method Investigation of conformal-biharmonic stability compared to harmonic stability.
result The conformal-biharmonic index coincides with the harmonic index, except for the 4D Euclidean sphere.

Study of energy quantization in a nonlinear sigma model with critical gravitinos.

problem Analyzing properties of a nonlinear sigma model with gravitinos in string theory.
method Analytical and geometric properties, Pohozaev type identity, weakly convergent sequence of fields.
result Established energy identities and obtained a holomorphic quadratic differential.

We prove an energy identity for anti-self-dual connections on the product C\timesΣof the complex plane and a Riemann surface. The energy is a multiple of a basic constant that is determined from the values of a corresponding Chern-Simons functional on flat connections and its ambiguity under gauge transformations. For …

2005-03-16abs ↗pdf ↗

The paper examines Yang-Mills-Higgs pairs on vector bundles and proves stability and energy identity.

problem Stability and energy identity of Yang-Mills-Higgs pairs on vector bundles.
method Bubble-neck decomposition and analysis of weakly stable pairs.
result A sequence of Yang-Mills-Higgs pairs converges to a Yang-Mills-Higgs pair with uniformly bounded energy.

The paper proves an energy identity for harmonic maps near singularities.

problem Analyzing the behavior of harmonic maps near singular points.
method Analyzes sequences of stationary harmonic maps with bounded energy, proving an energy identity near singularities.
result The energy density of the defect measure is the sum of the energies of the bubbling maps.

Study existence of harmonic and Dirac-harmonic maps from degenerating surfaces.

problem Existence of harmonic and Dirac-harmonic maps from degenerating surfaces.
method Using the Sacks and Uhlenbeck scheme, analyze a sequence of maps from degenerating surfaces to non-positive curved manifolds.
result Existence of limiting harmonic and Dirac-harmonic maps under certain conditions.

Derives stress-energy identities in Liouville theory on compact surfaces.

problem Stress-energy tensor correlation functions on compact Riemann surfaces.
method Varying correlation functions with respect to background metric, treating different types of variations separately.
result Stress-energy correlation functions expressed as differential operators acting on primary field correlation functions.

We prove that the Yang-Mills αα-functional satisfies the Palais-Smale condition. This guarantees the existence of critical points, which are called Yang-Mills αα-connections. It was shown by Hong, Tian and Yin in [10] (to appear in Comm. Math. Helv.) that as α1α\to 1, a sequence of Yang-Mills αα-connections converge…

2013-08-12abs ↗pdf ↗

We prove the energy identity for min-max sequences of the Sacks-Uhlenbeck and the biharmonic approximation of harmonic maps from surfaces into general target manifolds. The proof relies on Hopf-differential type estimates for the two approximations and on estimates for the concentration radius of bubbles.

2007-05-31abs ↗pdf ↗

Let unu_n be a sequence of mappings from a closed Riemannian surface MM to a general Riemannian manifold NN. If unu_n satisfies \beno \sup_{n}\big(\|\nabla u_n\|_{L^2(M)}+\|τ(u_n)\|_{L^{p}(M)}\big)\leq Λ\quad \text{for some}\,\,p>1, \eeno where τ(un)τ(u_n) is the tension field of unu_n, then there hold the so called ene…

2016-03-03abs ↗pdf ↗

Bayesian weight priors improve neural network learning of identity relations.

problem Neural networks struggle to learn abstract and systematic relations, especially identity relations.
method Extended RBP approach using Bayesian weight priors as a regularization term.
result Bayesian weight priors lead to perfect generalization for identity relations and do not hinder standard neural network learning.

The paper extends a theorem and studies the convergence of branched conformal immersions with bounded areas and Willmore energies.

problem Analyzing the convergence of branched conformal immersions with bounded areas and Willmore energies.
method Extending a local convergence theorem and studying blowup behavior.
result The integral identity of Gauss curvature is proven.

Proves convergence of gradient Ricci shrinkers with uniform bounds.

problem Compactness and energy concentration in gradient Ricci shrinkers.
method Bubble-tree convergence and local energy analysis.
result No energy concentrates in neck regions, leading to a local diffeomorphism finiteness theorem.

Paper extends positive energy theorem to anti-de Sitter spacetimes.

problem Proving positive energy theorem for weighted anti-de Sitter spacetimes.
method Generalized positive energy theorem for 3D anti-de Sitter initial data sets.
result Positive energy theorem proved for weighted anti-de Sitter spacetimes.

Optimal Euclidean structure minimizes energy in weighted toroidal graphs.

problem Finding the optimal Euclidean structure for weighted toroidal graphs.
method Minimizing Dirichlet energy over all possible Euclidean structures and realizations within a fixed homotopy class.
result The optimal Euclidean structure induces a weighted Delaunay decomposition.

Gradient descent recovers planted weights in shallow neural networks with quadratic activations.

problem Learning shallow neural networks with quadratic activations and planted weights.
method Analysis of optimization landscape, gradient descent, semicircle law for Wishart ensemble.
result Gradient descent can recover planted weights if initialized below an energy barrier.

Paper proposes MCMA architecture for neural approximate computing with higher invocation rate and energy savings.

problem Limited invocation rate of neural approximators leading to suboptimal energy efficiency.
method Introduces MCMA architecture with a multiclass classifier and multiple approximators, sharing hardware resources and efficiently swapping approximators.
result Significantly higher invocation rate and energy savings compared to existing methods.

Weak Bianchi identity found for spacetimes with timelike singularities.

problem Weak Bianchi identity for spacetimes with curvature singularities.
method Found sufficient conditions for a weak version of the second Bianchi identity.
result Identified a class of spherically symmetric static spacetimes with timelike singularities for which the identity holds.

New method trains quantized neural networks to global optimality.

problem Training optimal quantized neural networks is intractable due to combinatorial non-convex optimization.
method Convex optimization strategy using hidden convexity, semidefinite lifting, and Grothendieck's identity.
result Quantized NN problems can be solved to global optimality in polynomial-time.

Study investigates singularity formation in α\alpha-Yang-Mills-Higgs fields on spheres.

problem Singularity formation in α\alpha-Yang-Mills-Higgs fields on spheres.
method Established α\alpha-energy identity, no-neck property through Hodge decomposition and new conservation law.
result Unified and quantitative framework for singularity formation in variational gauge theories.

The study examines the behavior of maps near the boundary of surfaces.

problem Analyzing the behavior of approximate harmonic maps near the boundary of surfaces.
method Blow-up analysis and energy identity for maps from surfaces to manifolds with free boundary.
result Energy identity and no neck property hold during the blow-up process.

Let MM be a closed Riemannian surface and unu_n a sequence of maps from MM to Riemannian manifold NN satisfying supn(unL2(M)+τ(un)Lp(M))Λ\sup_n(\|\nabla u_n\|_{L^2(M)}+\|τ(u_n)\|_{L^p(M)})\leq Λ for some p>1p>1, where τ(un)τ(u_n) is the tension field of the mapping unu_n. For the general target manifold NN, if p65p\geq \frac 65, we prove th…

2012-05-14abs ↗pdf ↗

Under a spectral assumption on the Laplacian of a Poincaré--Einstein manifold, we establish an energy inequality relating the energy of a fractional GJMS operator of order 2γ(0,2)2γ\in(0,2) or 2γ(2,4)2γ\in(2,4) and the energy of the weighted conformal Laplacian or weighted Paneitz operator, respectively. This spectral assumption…

2015-09-28abs ↗pdf ↗

We study a new set of coupled field equations motivated by the non-linear supersymmetric sigma model of quantum field theory. These equations couple a map into a Riemannian manifold controlled by a harmonic map like action with a spinor field along that map. We study the solutions which we call Dirac-harmonic maps from…

2004-11-15abs ↗pdf ↗

This paper generalizes neural transport learning for free energy estimation in arbitrary state spaces.

problem Efficient estimation of free energy in various state spaces.
method Generalized neural transport learning approach for arbitrary state spaces.
result Validation of the proposed method's effectiveness and efficiency in diverse settings.

Study extends eigenvalue formulas to weighted manifolds and proves global rigidity theorems.

problem Eigenvalue formulas and rigidity theorems for weighted manifolds.
method Extends variational formulae to weighted manifolds, proving global rigidity theorems.
result Global rigidity theorems for critical domains in Gaussian half-space.

Generative diffusion models mimic biological memory networks, encoding associative dynamics in deep neural weights.

problem Understanding long-term memory mechanisms in neuroscience and AI.
method Interpreting generative diffusion models as energy-based models and comparing them to Hopfield networks.
result Generative diffusion models can encode associative dynamics of Hopfield networks in deep neural weights.

We study harmonic maps from degenerating Riemann surfaces with uniformly bounded energy and show the so-called generalized energy identity. We find conditions that are both necessary and sufficient for the compactness in W1,2W^{1,2} and C0C^{0} modulo bubbles of sequences of such maps.

2008-03-25abs ↗pdf ↗

New class of heavy-tailed distributions shows weighted averages dominate individual variables.

problem Understanding and comparing risks in heavy-tailed distributions.
method Introducing a new class of heavy-tailed distributions and proving stochastic dominance relations.
result Weighted averages of random variables in this class are stochastically larger than individual variables.