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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.

168,742 papers · 148 categories

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18375573 · Jun 202019922001200920172026
48 results for block diffeomorphisms

The paper studies pseudo-isotopies of spherical 3-manifolds and computes ranks of certain groups.

problem Computing ranks of abelian groups related to spherical 3-manifolds.
method Surgery on theta-graphs embedded in spherical 3-manifolds, study of pseudo-isotopy behavior under suspension.
result Lower bounds of ranks of abelian groups π0Diff(X,)π_0\mathrm{Diff}(X,\partial) are computed.

In this paper we prove a stability theorem for block diffeomorphisms of 2d-dimensional manifolds that are connected sums of S^d x S^d. Combining this with a recent theorem of S. Galatius and O. Randal-Williams and Morlet's lemma of disjunction, we determine the homology of the classifying space of their diffeomorphism …

2012-03-19abs ↗pdf ↗

Tautological classes, or generalised Miller-Morita-Mumford classes, are basic characteristic classes of smooth fibre bundles, and have recently been used to describe the rational cohomology of classifying spaces of diffeomorphism groups for several types of manifolds. We show that rationally tautological classes depend…

2017-05-17abs ↗pdf ↗

Let GG be a connected Lie group and ΓGΓ\subset G a lattice. Connection curves of the homogeneous space M=G/ΓM=G/Γ are the orbits of one parameter subgroups of GG. To blockblock a pair of points m1,m2Mm_1,m_2 \in M is to find a finite set BM{m1,m2}B \subset M\setminus \{m_1, m_2 \} such that every connecting curve joining m1m_1 and $m…

2018-03-16abs ↗pdf ↗

Let φ:MMφ: M\to M be a diffeomorphism of a CC^\infty compact connected manifold, and XX its mapping torus. There is a natural fibration p:XS1p:X\to S^1, denote by ξH1(X,Z)ξ\in H^1(X, \mathbb{Z}) the corresponding cohomology class. Let λZλ\in \mathbb{Z}^*. Consider the endomorphism φkφ_k^* induced by φφ in the cohomology of MM

2016-10-04abs ↗pdf ↗

Round handles are affiliated with smooth 4-manifolds in two major ways: 5-dimensional round handles appear extensively as the building blocks in cobordisms between 4-manifolds, whereas 4-dimensional round handles are the building blocks of broken Lefschetz fibrations on them. The purpose of this article is to shed more…

2010-09-02abs ↗pdf ↗

The signed volume function for polyhedra can be generalized to a mean volume function for volume elements by averaging over the triangulations of the underlying polyhedron. If we consider these up to translation and scaling, the resulting quotient space is diffeomorphic to a sphere. The mean volume function restricted …

2013-02-25abs ↗pdf ↗

The study determines fiber homotopy trivial bundles and their impact on curvature.

problem Understanding fiber homotopy trivial bundles and their effect on curvature.
method Classical approach via block bundles and surgery theory.
result Existence of elements of infinite order in homotopy groups of spaces of positive curvature.

Smooth manifolds have equivalent diffeomorphism groups if and only if they are diffeomorphic.

problem Understanding when diffeomorphism groups of smooth manifolds are elementarily equivalent.
method Analyzing the equivalence of CrC^r and CsC^s diffeomorphism groups of smooth manifolds.
result Equivalent diffeomorphism groups imply diffeomorphic manifolds, strengthening previous results.

This paper presents a novel Block Iterative Bayesian Algorithm (Block-IBA) for reconstructing block-sparse signals with unknown block structures. Unlike the existing algorithms for block sparse signal recovery which assume the cluster structure of the nonzero elements of the unknown signal to be independent and identic…

2014-12-07abs ↗pdf ↗

This letter presents a novel Block Bayesian Hypothesis Testing Algorithm (Block-BHTA) for reconstructing block sparse signals with unknown block structures. The Block-BHTA comprises the detection and recovery of the supports, and the estimation of the amplitudes of the block sparse signal. The support detection and rec…

2015-08-22abs ↗pdf ↗

Proposes a Nested Block Model to unify various network block models.

problem Lack of nested structure and differing parameter complexity among block models.
method Formulates a hierarchy of block models (NBM) that includes SBM, DCBM, and PABM as special cases.
result Allows clustering and estimation without preliminary testing, simplifying model selection.

Paper derives explicit expression of Alekseev-Meinrenken diffeomorphism.

problem Understanding the Alekseev-Meinrenken diffeomorphism.
method Via the Stokes phenomenon of meromorphic linear systems of ODEs with Poncaré rank 1.
result Explicit expression of the Alekseev-Meinrenken diffeomorphism.

According to Pixton, there are Morse-Smale diffeomorphisms of the 3-sphere which have no energy function, that is a Lyapunov function whose critical points are all periodic points of the diffeomorphism. We introduce the concept of quasi-energy function for a Morse-Smale diffeomorphism as a Lyapunov function with the le…

2008-10-23abs ↗pdf ↗

We determine the Riemannian manifolds for which the group of exact volume preserving diffeomorphisms is a totally geodesic subgroup of the group of volume preserving diffeomorphisms, considering right invariant L2L^2-metrics. The same is done for the subgroup of Hamiltonian diffeomorphisms as a subgroup of the group of…

2001-03-30abs ↗pdf ↗

Generalizes π2π_2-diffeomorphism finiteness to non-zero first homotopy groups.

problem Bounding diffeomorphic types of compact manifolds with vanishing first and second homotopy groups.
method Generalizing the π2π_2-diffeomorphism finiteness theorem to include non-zero first homotopy groups.
result Diffeomorphic types of compact manifolds with non-zero first homotopy groups can be bounded.

SympFormer accelerates attention blocks using inertial dynamics on density spaces.

problem Improving the efficiency of self-attention blocks in Transformers.
method Introduced accelerated attention blocks derived from inertial Nesterov dynamics on density spaces.
result Accelerated attention blocks converge faster than classical blocks while preserving oracle calls.

We introduce block-tree graphs as a framework for deriving efficient algorithms on graphical models. We define block-tree graphs as a tree-structured graph where each node is a cluster of nodes such that the clusters in the graph are disjoint. This differs from junction-trees, where two clusters connected by an edge al…

2010-07-04abs ↗pdf ↗

In [2], the first author constructed the first known examples of exotic minimal symplectic $\CP#5\CPb$ and minimal symplectic 4-manifold that is homeomorphic but not diffeomorphic to $3\CP#7\CPb$. The construction in [2] uses Y. Matsumoto's genus two Lefschetz fibrations on $M = \mathbb{T}^{2}\times \mathbb{S}^{2} #4\C…

2012-12-10abs ↗pdf ↗

We simplify matrix computations for block matrices, especially useful for covariance and correlation matrices.

problem Complex computations for block matrices, especially for covariance and correlation matrices.
method Obtained a canonical representation for block matrices, facilitating computation of various matrix operations.
result Simplified computation of matrix operations for block matrices, particularly useful for covariance and correlation matrices.

Attention mechanism is a hot spot in deep learning field. Using channel attention model is an effective method for improving the performance of the convolutional neural network. Squeeze-and-Excitation block takes advantage of the channel dependence, selectively emphasizing the important channels and compressing the rel…

2019-01-06abs ↗pdf ↗

Proposes BMME for optimizing nonsmooth nonconvex problems with block structure.

problem Optimizing nonsmooth nonconvex problems with block structure.
method Block Alternating Bregman Majorization Minimization with Extrapolation (BMME).
result Subsequential convergence to a first-order stationary point under mild assumptions, global convergence under stronger conditions.

Theta graph diffeomorphism shows nontrivial mapping class of 4-sphere.

problem Identifying nontrivial elements in the smooth mapping class group of 4-sphere.
method Diagrammatic calculus for smooth mapping class group of 4-sphere, Watanabe's clasper surgery construction.
result Theta graph diffeomorphism is isotopic to a nontrivial element of (1,2)-subgroup.

The paper finds diffeomorphic complex intersections with distinct Hodge numbers.

problem Identifying complex intersections with different Hodge numbers.
method Provided three pairs of 3-dimensional and one pair of 5-dimensional complex complete intersections, all diffeomorphic but with different Hodge numbers.
result Diffeomorphic complex intersections can have different Hodge numbers.

Positive paths connect diffeomorphisms on contact manifolds.

problem Defining and analyzing positivity in diffeomorphism groups of manifolds with contact structures.
method By examining paths of diffeomorphisms that are positively transverse to the contact distribution, showing flexibility and connecting diffeomorphisms.
result Any two diffeomorphisms on standard contact structure of R^(2n+1) can be connected by a positive path.

Alternating Direction Method of Multipliers (ADMM) has become a widely used optimization method for convex problems, particularly in the context of data mining in which large optimization problems are often encountered. ADMM has several desirable properties, including the ability to decompose large problems into smalle…

2019-07-10abs ↗pdf ↗

Paper proposes ABDR for convex subspace clustering with adaptive block diagonal representation.

problem Subspace clustering with block diagonal structure for noisy data.
method ABDR explicitly pursues block diagonality without sacrificing convexity, using a specially designed convex regularizer.
result Experimental results show ABDR outperforms state-of-the-arts.

The paper proposes a deep learning approach to efficiently approximate diffeomorphisms for shape alignment.

problem Finding optimal reparameterizations of shapes for computing geodesic distances.
method The authors develop a neural network-based algorithm to construct approximations of diffeomorphisms using PyTorch.
result The proposed method achieves universal approximation properties and bounds on Lipschitz constants for the constructed diffeomorphisms.