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Fast Processing of Bending Deflection for Euler–Bernoulli Beam Under Different Boundary Constraints Based on a Semi-Analytical Null Space Method
In this paper, a semi-analytical method called null space method is proposed to realize fast processing of bending deflection for Euler–Bernoulli...
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Constant angle null hypersurfaces
In this work, we introduce the notion of constant angle null hypersurface of a Lorentzian manifold with respect to a given ambient vector field. We...
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Statistical structures arising in null submanifolds
We show a link between affine differential geometry and null submanifolds in a semi-Riemannian manifold via statistical structures. Once a rigging...
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Geometry of Null Hypersurfaces in Lorentzian Space Forms
Null hypersurfacesNavarro, M. Palmas, O. Solis, D. A. are important objects of study both from the perspective of General Relativity and...
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A Curvature Inequality Characterizing Totally Geodesic Null Hypersurfaces
A well-known application of the Raychaudhuri equation shows that, under geodesic completeness, totally geodesic null hypersurfaces are unique which...
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On Null-Homology and Stationary Sequences
The concept of homology, originally developed as a useful tool in algebraic topology, has by now become pervasive in quite different branches of...
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On the regularity of null cones and geodesic spheres
We show a property on the null cones in a Lorentzian manifold near a conjugate point, which contributes to the understanding of the behaviour of the...
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Nonlinear scalarization in set optimization based on the concept of null set
The aim of this paper is to introduce a nonlinear scalarization function in set optimization based on the concept of null set which was introduced by...
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Lichnerowicz-Type Laplacians in the Bochner Technique
In the well-known monograph of A. Besse the following is written: the Bochner technique is a method of proving vanishing theorems for null space of a...
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Conformal Vector Fields and Null Hypersurfaces
We give conditions for a conformal vector field to be tangent to a null hypersurface. We particularize to two important cases: a Killing vector field...
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New inertial self-adaptive algorithms for the split common null-point problem: application to data classifications
In this paper, we propose two inertial algorithms with a new self-adaptive step size for approximating a solution of the split common null-point...
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The Lichnerowicz Laplacian Acting on Symmetric Tensor Fields — The Bochner Technique Point of View
In this paper, we prove vanishing theorems for the null space of the Laplacian admitting the Weizenböck decomposition and acting on the space of...
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The High-Order Variable-Coefficient Explicit-Implicit-Null Method for Diffusion and Dispersion Equations
For the high-order diffusion and dispersion equations, the general practice of the explicit-implicit-null (EIN) method is to add and subtract an...
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Null controllability and numerical simulations for a class of degenerate parabolic equations with nonlocal nonlinearities
In this work, we prove a Carleman estimate, which allows us to obtain the local null-controllability for a class of strongly degenerate parabolic...
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An inertial extragradient algorithm for equilibrium and generalized split null point problems
This paper provides iterative construction of a common solution associated with a class of equilibrium problems and split convex feasibility...
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Uncertainty Principle for Hermite Functions and Null-Controllability with Sensor Sets of Decaying Density
We establish a family of uncertainty principles for finite linear combinations of Hermite functions. More precisely, we give a geometric criterion on...
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Boundary value problems in Euclidean space for bosonic Laplacians
A bosonic Laplacian is a conformally invariant second order differential operator acting on smooth functions defined on domains in Euclidean space...
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Codimension Two Spacelike Submanifolds Through a Null Hypersurface in a Lorentzian Manifold
Most important examples of null hypersurfaces in a Lorentzian manifold admit an integrable screen distribution, which determines a spacelike...
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An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors
Many new metaheuristic algorithms prioritize their search strategy phase, often neglecting equally critical stages like initialization. Latin...
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Loop space decompositions of highly symmetric spaces with applications to polyhedral products
We generalise the fold map for the wedge sum and use this to give a loop space decomposition of topological spaces with a high degree of symmetry....
