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168,742 papers · 148 categories

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15304459 · May 202619922001200920172026
48 results for monotonic homotopy

We prove a "gluing" theorem for monotone homotopies; a monotone homotopy is a homotopy through simple contractible closed curves which themselves are pairwise disjoint. We show that two monotone homotopies which have appropriate overlap can be replaced by a single monotone homotopy. The ideas used to prove this theorem…

2013-11-13abs ↗pdf ↗

This article investigates when homotopies can be converted to monotone homotopies without increasing the lengths of curves. A monotone homotopy is one which consists of curves which are simple or constant, and in which curves are pairwise disjoint. We show that, if the boundary of a Riemannian disc can be contracted th…

2017-04-20abs ↗pdf ↗

Under certain topological assumptions, we show that two monotone Lagrangian submanifolds embedded in the standard symplectic vector space with the same monotonicity constant cannot link one another and that, individually, their smooth knot type is determined entirely by the homotopy theoretic data which classifies the …

2012-11-28abs ↗pdf ↗

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.

Polynomial bound on tightening curves on surfaces without increasing crossings.

problem Proving a polynomial bound on the number of monotonic homotopy moves for curves on surfaces.
method Combining tools from hyperbolic geometry and graph drawing algorithms.
result First polynomial bound on the number of monotonic homotopy moves, improving from exponential.

In this paper we compute the homotopy groups of the symplectomorphism groups of the 3-, 4- and 5-point blow-ups of the projective plane (considered as monotone symplectic Del Pezzo surfaces). Along the way, we need to compute the homotopy groups of the compactly supported symplectomorphism groups of the cotangent bundl…

2009-09-30abs ↗pdf ↗

Study homology manifolds using spectral sheaves and spectral six functor formalism.

problem Characterize and understand homology manifolds through spectral sheaves.
method Adapt six functor formalism to spectral sheaves on locally compact Hausdorff spaces.
result Prove that compact ANR homology manifolds are Poincaré duality complexes.

We define pointwise partial differential relations for holomorphic discs. Given a relative homotopy class, a relation, and a generic almost complex structure we provide the moduli space of discs which have an injective point with the structure of a smooth manifold. Applications to the local behaviour are given and an a…

2013-03-03abs ↗pdf ↗

Study ribbon concordance and minimal compressions, proving new results about fibered knots.

problem Understanding ribbon concordance and minimal compressions of surface homeomorphisms.
method Proving monotonicity of simplicial volume and dilatation under ribbon concordance, algorithmic enumeration of minimal compressions.
result Every fibered knot has only finitely many predecessors in the ribbon-concordance partial order.

A virtual nn-string αα is a collection of nn oriented smooth generic loops on a surface MM. A stabilization of αα is a surgery that results in attaching a handle to MM along disks avoiding αα, and the inverse operation is a destabilization of αα. We consider virtual nn-strings up to virtual homotopy, i.e., seq…

2017-09-05abs ↗pdf ↗

Develops a new method for equivariant Lagrangian Floer homology using symplectic homotopy quotients.

problem Constructing equivariant Lagrangian Floer homology for symplectic manifolds with group actions.
method Using symplectic homotopy quotients involving cotangent bundles of an approximation of EGEG, and Wehrheim and Woodward's theory of quilts.
result Shows that the constructed groups are independent of auxiliary choices and are H(BG)H^*(BG)-bimodules.

Let Ham(M,ω)Ham (M,ω) denote the Frechet Lie group of Hamiltonian symplectomorphisms of a monotone symplectic manifold (M,ω)(M, ω) . Let NFuk(M,ω)NFuk (M, ω) be the AA _{\infty} -nerve of the Fukaya category Fuk(M,ω)Fuk (M, ω), and let (S,NFuk(M,ω))(|\mathbb{S}|, NFuk (M, ω)) denote the NFuk(M,ω)NFuk (M, ω) component of the ``space of \infty-categories''…

2013-07-15abs ↗pdf ↗

The paper addresses monotonicity in machine learning models for fairness and accountability.

problem Ensuring fairness and accountability in transparent machine learning models.
method Study of three types of monotonicity (individual, weak pairwise, strong pairwise) and propose monotonic groves of neural additive models.
result Monotonic groves of neural additive models maintain transparency, accountability, and fairness.

In the first half of the paper we construct a Morse-type theory on certain spaces of braid diagrams. We define a topological invariant of closed positive braids which is correlated with the existence of invariant sets of parabolic flows defined on discretized braid spaces. Parabolic flows, a type of one-dimensional lat…

2001-05-10abs ↗pdf ↗

Probit Monotone BART estimates binary outcomes using monotonic functions.

problem Estimating conditional mean functions for binary outcomes with monotonicity constraints.
method Proposes a new BART variant that incorporates monotonicity constraints for binary outcomes.
result Allows for more precise estimation of monotonic functions in binary outcome models.

Monotone neural networks can approximate and interpolate functions efficiently.

problem Understanding the efficiency and expressiveness of monotone neural networks.
method Solving the monotone interpolation problem using depth-4 networks and comparing size bounds with arbitrary networks.
result Monotone neural networks can approximate and interpolate functions efficiently, but may require exponential size in high dimensions.

We define and study the harmonic heat flow for almost complex structures which are compatible with a Riemannian structure (M,g)(M, g). This is a tensor-valued version of harmonic map heat flow. We prove that if the initial almost complex structure JJ has small energy (depending on the norm J|\nabla J|), then the flow ex…

2019-07-29abs ↗pdf ↗

Study examines explainable machine learning for monotonic models, finding Integrated gradients better for strong monotonicity.

problem Applying explainable machine learning to science-informed models.
method Proposed axioms for monotonicity, tested Shapley value and Integrated gradients methods.
result Integrated gradients provides better explanations for strong monotonicity.

Learning performance can show non-monotonic behavior. That is, more data does not necessarily lead to better models, even on average. We propose three algorithms that take a supervised learning model and make it perform more monotone. We prove consistency and monotonicity with high probability, and evaluate the algorit…

2019-11-25abs ↗pdf ↗

Nonnegative matrix factorization (NMF) factorizes a non-negative matrix into product of two non-negative matrices, namely a signal matrix and a mixing matrix. NMF suffers from the scale and ordering ambiguities. Often, the source signals can be monotonous in nature. For example, in source separation problem, the source…

2015-05-01abs ↗pdf ↗

In [S. Basu, A. Gabrielov, N. Vorobjov, Semi-monotone sets. arXiv:1004.5047v2 (2011)] we defined semi-monotone sets, as open bounded sets, definable in an o-minimal structure over the reals, and having connected intersections with all translated coordinate cones in R^n. In this paper we develop this theory further by d…

2012-01-02abs ↗pdf ↗

We prove three new monotonicity formulas for manifolds with a lower Ricci curvature bound and show that they are connected to rate of convergence to tangent cones. In fact, we show that the derivative of each of these three monotone quantities is bounded from below in terms of the Gromov-Hausdorff distance to the neare…

2011-11-21abs ↗pdf ↗

Proves monotonicity of parabolic frequency on all manifolds without curvature assumptions.

problem Monotonicity of parabolic frequency on manifolds.
method Analyzes parabolic frequency function on manifolds, proving monotonicity without curvature assumptions.
result Monotonicity of parabolic frequency on all manifolds, no curvature assumption needed.

The paper evaluates the importance of monotonicity in AI fairness across various fields.

problem Ensuring fairness in AI applications across criminology, education, health care, and finance.
method Theoretical reasoning, simulation, and extensive empirical analysis of monotonic neural additive models (MNAMs).
result Monotonicity is essential for fairness in AI ethics and society, especially in criminology, education, health care, and finance.

We introduce large scale analogues of topological monotone and light maps, which we call coarsely monotone and coarsely light maps respectively. We show that these two classes of maps constitute a factorization system on the coarse category. We also show how coarsely monotone maps arise from a reflection in a similar w…

2016-07-08abs ↗pdf ↗

Homotopy on nanophrases is an equivalence relation defined using some data called a homotopy data triple. We define a product on homotopy data triples. We show that any homotopy data triple can be factorized into a product of prime homotopy data triples and this factorization is unique up to isomorphism and order. If a…

2009-10-28abs ↗pdf ↗

A local monotonicity formula for the Yang-Mills-Higgs flow on GG-bundles over Rn\mathbb{R}^{n} (n>4n>4) is proved. It is shown that the monotone quantity coïncides on certain self-similar solutions with that appearing in existing non-local monotonicity formulæ for the Yang-Mills and Yang-Mills-Higgs flows.

2015-06-05abs ↗pdf ↗

This paper benchmarks monotone-constrained models for credit PD across datasets and finds constraints are mostly costless.

problem Aligning machine learning model behavior with domain knowledge in credit risk.
method Benchmarked monotone-constrained versus unconstrained gradient boosting models across five datasets and three libraries, defining the Price of Monotonicity (PoM) as the relative change in AUC.
result Monotonicity constraints are almost costless on large datasets and most costly on smaller datasets, with PoM ranging from essentially zero to about 2.9 percent.

Study on pairwise counter-monotonicity, a type of negative dependence.

problem Understanding and quantifying extremal negative dependence structures.
method Established stochastic representation and invariance property; showed implications and connections.
result Pairwise counter-monotonicity implies negative association and joint mix dependence.

We propose a new framework for imposing monotonicity constraints in a Bayesian nonparametric setting based on numerical solutions of stochastic differential equations. We derive a nonparametric model of monotonic functions that allows for interpretable priors and principled quantification of hierarchical uncertainty. W…

2019-05-30abs ↗pdf ↗

New examples of manifolds that are homotopy but not simple homotopy equivalent.

problem Characterizing simple homotopy types of even dimensional manifolds.
method Using algebraic K-theory, surgery obstruction map, and homotopy automorphisms.
result Construction of infinite families of manifolds that are homotopy equivalent but not simple homotopy equivalent.

Classical Hurwitz numbers count branched covers of the Riemann sphere with prescribed ramification data, or equivalently, factorisations in the symmetric group with prescribed cycle structure data. Monotone Hurwitz numbers restrict the enumeration by imposing a further monotonicity condition on such factorisations. In …

2014-08-18abs ↗pdf ↗