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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.

169,341 papers · 148 categories

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48 results for Dominating Sets

Connected domination numbers found for plane triangulations up to 13 vertices.

problem Finding connected domination numbers for plane triangulations.
method Analyzing triangulations of up to 13 vertices and proving the difference between connected and regular domination numbers can be arbitrarily large.
result Connected domination numbers for triangulations up to 13 vertices and upper bound for larger triangulations.

Unified framework for efficient Frank-Wolfe optimization of Dominant Set Clustering.

problem Optimizing Dominant Set Clustering with various Frank-Wolfe algorithms.
method Unified framework for pairwise, standard, and away-steps Frank-Wolfe algorithms, with explicit convergence rates.
result Explicit convergence rates for Frank-Wolfe methods in Dominant Set Clustering.

Proves rigidity for specific initial data sets under the dominant energy condition.

problem Rigidity of initial data sets with boundary and convex polytopes.
method Solution of boundary value problems for Dirac operators and approximations by manifolds with smooth boundary.
result Proves rigidity for compact smooth spin manifolds and convex polytopes under the dominant energy condition.

Modified constraint operator for localized deformation with dominant energy condition.

problem Handling localized deformation with initial data sets under the dominant energy condition.
method Introduced a modified constraint operator to absorb metric changes and established local surjectivity theorem.
result Promoted dominant energy condition to strict inequality through compactly supported variations.

New method ranks multivariate distributions in SMOOP using q-dominance.

problem Lack of reliable methods to rank multivariate distributions in SMOOP.
method Introduces center-outward q-dominance and develops empirical test procedures.
result Proves q-dominance implies FSD and establishes a sample size threshold.

Develops tests for Markowitz stochastic dominance spanning using saddle points.

problem Determining if adding securities or relaxing investment constraints improves investment opportunity sets.
method Derives properties of cdfs, defines Markowitz stochastic dominance spanning, constructs non-parametric tests based on subsampling.
result Rejects market portfolio Markowitz efficiency and finds evidence of outperformance.

Proves positive mass theorem for spin initial data sets with arbitrary ends and dominant energy shields.

problem Proving the positive mass theorem for spin initial data sets with various ends and energy shields.
method Modification of Witten's approach involving an additional independent timelike direction in the spinor bundle.
result Positive mass theorem for spin initial data sets with arbitrary ends and dominant energy shields.

New insights into Bartnik mass from improvability of dominant energy scalar.

problem Characterizing Bartnik mass minimizing initial data sets.
method Introducing improvability concept, proving non-improvability consequences, and analyzing pp-wave counterexamples.
result Bartnik mass minimizing initial data sets are characterized, advancing conjectures.

New framework for ranking distributions using variable fractional parameters.

problem Ordering distributions with varying steepness and local non-concavities.
method Introducing a function γ:Ro[0,1]\boldsymbolγ: \mathbb{R} o [0,1] to replace the fixed parameter in fractional SD.
result Enables ranking of a broader range of distributions and incorporates dynamic greediness.

Smooth dec initial data sets may not extend to smooth spacetimes.

problem Whether every dec initial data set can be extended to a smooth spacetime.
method Examined the converse of the dominant energy condition for initial data sets and spacelike hypersurfaces.
result Not all dec initial data sets can be extended to smooth spacetimes.

Characterizes causal structure dominance for latent variables.

problem Determining dominance relations between causal structures with latent variables.
method Complete characterization for three visible variables, partial for four; uses nontrivial inequality constraints.
result Equivalence classes with nontrivial inequality constraints become ubiquitous as the number of visible variables increases.

Paper proposes a new method to compare classifiers across multiple datasets.

problem Comparing classifiers over multiple datasets with multiple criteria.
method Adopting decision theory, the paper introduces generalized stochastic dominance for ranking classifiers.
result Generalized stochastic dominance can be used to rank classifiers and statistically tested.

Develops new classifiers using proximity catch digraphs for better class imbalance handling.

problem Class imbalance in classification problems.
method Constructs semi-parametric classifiers using random geometric digraphs called proximity catch digraphs (PCDs).
result PE-PCDs find exact minimum dominating sets in polynomial time, leading to efficient classifiers.

New proof shows equality in spacetime mass theorem.

problem Proving the equality case of spacetime positive mass theorem.
method Uses a new approach requiring only EPE \ge |P| for near initial data sets.
result Initial data sets with null ADM energy-momentum must embed into Minkowski space.

Investigates the effects of nondominated sets of probability measures in robust models of finance.

problem Uncertainty in financial models due to multiple possible probability measures.
method Analyzes various results from mathematical finance literature under the assumption of nondominated sets of probability measures.
result Many classical results in robust models do not hold when the set of measures is nondominated.

This note removes technical assumptions and characterizes relatively dominated representations.

problem Geometrically finiteness and Anosov conditions in higher-rank settings.
method Characterization using eigenvalue gaps and limit maps.
result Relatively dominated representations are characterized using eigenvalue gaps and limit maps.

Efficiently estimate Gaussian copulas' tail expectations using novel estimators.

problem Estimating expectations over constrained sets in Gaussian copulas' tails.
method Proposes three estimators based on identifying dominating points and scaling exponential distributions.
result Developed estimators achieve bounded relative error in Gaussian settings and polynomial efficiency in NORTA settings.

The positive energy theorem is proven for certain spacetimes with irregular curvature.

problem Proving the positive energy theorem for spacetimes with irregular curvature.
method Weak asymptotically anti-de Sitter initial data sets with distributional curvature under weak dominant energy condition.
result Positive energy theorem established for weakly irregular spacetimes.

Graphs and their complements are intrinsically knotted.

problem Characterizing maximal linklessly embeddable graphs and their complements.
method Analyzing maximal linklessly embeddable graphs, deriving connected domination numbers, and proving intrinsic knotting properties.
result Complements of maximal linklessly embeddable graphs of order 12 and 15 are intrinsically knotted.

A new family of stochastic dominance orders based on distortion functions.

problem Determining a continuum of dominance relations for risk assessment.
method Introducing H-distorted stochastic dominance, a generalized family of stochastic orders.
result Power-distorted stochastic dominance is particularly appealing due to its simplicity and statistical interpretations.

The study determines dominations between manifold products and semi-norm finiteness.

problem Understanding dominations between different products of manifolds.
method Analyzing the finiteness of product-associated semi-norms on fundamental classes.
result Partial answers to M. Gromov's questions on manifold product dominations and semi-norms.

SRRM improves recursive transport surrogates in the small-discrepancy regime.

problem Insufficient understanding of recursive partitioning methods' statistical behavior and resolution in the small-discrepancy regime.
method Introduced Selective Recursive Rank Matching (SRRM) to improve the resolution of Recursive Rank Matching (RRM).
result SRRM yields a higher-fidelity practical surrogate for the Wasserstein distance at moderate additional computational cost.

Study geometric manifolds in arbitrary dimensions, focusing on maps and diffeomorphisms.

problem Existence and properties of maps and diffeomorphisms in geometric manifolds.
method Analysis of geometric structures and homotopy invariants in arbitrary dimensions.
result Existence of Anosov diffeomorphisms and monotonicity of homotopy invariants.

Study domination between non-Fuchsian surface group representations and anti-de Sitter geometry.

problem Domination problem between non-Fuchsian representations of closed surface groups.
method Analysis of branched harmonic immersions and construction of anti-de Sitter 3-manifolds.
result Found that representations admitting branched harmonic immersions dominate other representations, and constructed large families of branched anti-de Sitter 3-manifolds.

We develop a new statistical test for comparing variables with varying scales.

problem Comparing variables with different scales in multidimensional spaces.
method Order based on expectations of random variables, generalized stochastic dominance (GSD) order, regularized statistical test, linear optimization, imprecise probability models.
result Validated through multidimensional data from various fields.

The paper analyzes how behavioral investors make portfolio decisions using Markowitz Stochastic Dominance criteria.

problem Understanding how behavioral investors make portfolio decisions.
method Developed stochastic optimization problems and MILP models to capture subjective decision weights and probability weighting functions.
result The developed models can be used to formulate computationally tractable portfolio analysis problems.

Finite simplicial complexes dominate certain manifolds with a bounded number of simplices.

problem Understanding the finite domination of manifolds by simplicial complexes.
method Proving that a manifold can be dominated by the nn-skeleton of a finite simplicial complex with a bounded number of simplices.
result The total number of simplices in the nn-skeleton is bounded above by a constant depending only on nn and the embolic volume of the manifold.

The paper defines almost strict domination for representations and connects it to anti-de Sitter 3-manifolds.

problem Defining and characterizing representations with specific properties.
method Using variational problems and harmonic maps to prove almost strict domination and construct representations.
result An almost strictly dominating pair of representations is equivalent to an anti-de Sitter 3-manifold with specific properties.