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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.

168,982 papers · 148 categories

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48 results for diagonal symmetries

In integrable hydrodynamic systems, coordinates exist where generators and symmetries are simple.

problem Existence of Riemannian invariants for integrable systems of hydrodynamic type.
method Finding coordinates where the generator and all symmetries are diagonal.
result In integrable hydrodynamic systems, there exist coordinates where the generator and all symmetries are diagonal.

We prove that certain dual pairs of Calabi-Yau manifolds have matching orbifold Euler characteristics.

problem Constructing mirror symmetric Calabi-Yau manifolds with specific symmetry groups.
method Generalized Berglund-Hübsch-Henningson construction to include permutations of variables.
result Reduced orbifold Euler characteristics of dual pairs coincide up to sign under cyclic permutation groups satisfying parity condition.

The paper proves conditions for Darboux integrability in diagonal hydrodynamic systems.

problem Conditions for Darboux integrability in diagonal hydrodynamic systems.
method Proof of conditions using Laplace transformation sequences and geometric interpretations.
result Diagonal systems of hydrodynamic type are Darboux integrable if and only if the corresponding systems for commuting flows are Darboux integrable.

Extends method for solving certain hydrodynamic systems.

problem Solving non-diagonalisable integrable systems of hydrodynamic type.
method Generalised hodograph method applied to F-manifolds with compatible connections.
result Provides general solution under certain assumptions.

We propose a new framework for constructing geometric and physical models on nonholonomic manifolds provided both with Clifford -- Lie algebroid symmetry and nonlinear connection structure. Explicit parametrizations of generic off-diagonal metrics and linear and nonlinear connections define different types of Finsler, …

2005-01-27abs ↗pdf ↗

Ancient solutions to Ricci flow on torus bundles have additional symmetries.

problem Understanding collapsed ancient solutions to the Ricci flow on compact manifolds.
method Algebraic and tameness assumptions on collapsing directions to prove additional torus symmetries.
result Ancient solutions to the Ricci flow on torus bundles converge to an Einstein metric on the base.

New integrable systems constructed for non-diagonal Killing tensors.

problem Constructing integrable Hamiltonian systems with quadratic momenta.
method Using Nijenhuis geometry and gl-regular Nijenhuis operators.
result Reproduces classical Stäckel construction and finds new systems for n≥3.

Parallelizes DEC on curved meshes using group actions.

problem Efficiently solving DEC operators on curved and 3D meshes.
method Universal block-diagonalization framework for dd and \star operators, exploiting group actions.
result Block-diagonal structure inherited by operators, enabling parallel solvers.

We provide an affirmative answer to a question posed by Tod \cite{Tod:1995b}, and construct all four-dimensional Kahler metrics with vanishing scalar curvature which are invariant under the conformal action of Bianchi V group. The construction is based on the combination of twistor theory and the isomonodromic problem …

2010-10-14abs ↗pdf ↗

Study of Khovanov homology for alternating virtual links, showing it's supported on specific diagonal lines.

problem Investigating the Khovanov homology of alternating virtual links.
method Analyzing the Khovanov homology of alternating virtual links and showing it's supported on specific diagonal lines.
result Khovanov homology of alternating virtual links is supported on g+2g+2 diagonal lines, where gg is the virtual genus.

The paper develops tensor learning methods exploiting symmetries of tensor functions.

problem Efficiently handling tensors in various scientific contexts.
method Equivariant machine learning architectures exploiting orthogonal, Lorentz, and symplectic symmetries.
result Equivariant models outperform non-equivariant baselines in time series analysis.

An irreducible representation of the free group on two generators X,Y into SL(2,C) is determined up to conjugation by the traces of X,Y and XY. We study the diagonal slice of representations for which X,Y and XY have equal trace. Using the three-fold symmetry and Keen-Series pleating rays we locate those groups which a…

2014-09-24abs ↗pdf ↗

New method proves identifiability of deep generative models with algebraic contrast principles.

problem Proving identifiability of deep generative models in unsupervised learning.
method Introducing three algebraic contrast principles: domain contrast, mechanism contrast, and interaction contrast.
result Proves identifiability of deep generative models with piecewise-affine decoders and Gaussian mixture priors.

Study on likelihood functions, associative equations, and Frobenius manifolds.

problem Maximum likelihood estimation and associativity equations in statistical models.
method Analyzes the cone of concentration matrices, log-likelihood function, and Frobenius manifolds.
result Maximum likelihood degree is indexed by components of Frobenius residuals.

We analyze the horizon and geodesic structure of a class of 4D off--diagonal metrics with deformed spherical symmetries, which are exact solutions of the vacuum Einstein equations with anholonomic variables. The maximal analytic extension of the ellipsoid type metrics are constructed and the Penrose diagrams are analyz…

2002-06-05abs ↗pdf ↗

Novel duality theory for operator Frobenius algebras solves long-standing hydrodynamic integrable systems problem.

problem Long-standing Eisenhart-Stäckel problem for non-degenerate integrable systems.
method Introduce duality for operator Frobenius algebras and use mutual symmetry assumption.
result Construct new infinite-dimensional integrable systems of hydrodynamic type.

New approach learns walk and trot gaits from simulated quadruped using strategic exploration.

problem Learning symmetric gaits (walk and trot) from high-dimensional action spaces.
method Introduced symmetry properties into initial covariance of Gaussian search distribution for strategic exploration. Used episode-based likelihood ratio policy gradient and relative entropy policy search.
result Significant performance enhancement in learning walk and trot gaits compared to random gaits.

A non-singular sesquilinear form is constructed that is preserved by the Lawrence-Krammer representation. It is shown that if the polynomial variables q and t of the Lawrence-Krammer representation are chosen to be appropriate algebraically independant unit complex numbers, then the form is negative-definite Hermitian.…

2002-02-23abs ↗pdf ↗

We provide a method to prepare covariance matrices for quantum datasets.

problem No concrete protocol for preparing covariance matrices for quantum datasets.
method Amplitude encoding of data, exploiting global phase symmetry to center the dataset.
result Covariance matrix can be prepared for arbitrary quantum datasets or centered classical datasets.

With the developments of the last decade on complete constant mean curvature 1 (CMC 1) surfaces in the hyperbolic 3-space H3H^3, many examples of such surfaces are now known. However, most of the known examples have regular ends. (An end is irregular, resp. regular, if the hyperbolic Gauss map of the surface has an ess…

2008-05-24abs ↗pdf ↗

Spin networks boost quantum algorithms solving SU(2) symmetric problems.

problem Efficiently solving SU(2) symmetric problems on quantum hardware.
method Using SU(2) equivariant variational quantum circuits based on spin networks.
result Spin networks provide a direct implementation for SU(2) equivariant quantum circuits.

Diagonal linear networks converge to lasso regularization path during training.

problem Understanding the regularization behavior of diagonal linear networks.
method Analyzing the training trajectory of diagonal linear networks and comparing it to the lasso regularization path.
result The training trajectory of diagonal linear networks is closely related to the lasso regularization path.

We show that a basis of a semisimple Lie algebra of compact type, for which any diagonal left-invariant metric has a diagonal Ricci tensor, is characterized by the Lie algebraic condition of being "nice". Namely, the bracket of any two basis elements is a multiple of another basis element. This extends the work of Laur…

2019-12-29abs ↗pdf ↗