On K-peak solutions for the Yamabe equation on product manifolds

This paper proves that for a product manifold (M×X,g+ϵ2h)(M \times X, g+\epsilon^2 h) where (X,h)(X,h) has constant positive scalar curvature, the subcritical Yamabe equation admits KK-peak positive solutions for any KNK \in \mathbb{N} when ϵ\epsilon is sufficiently small, provided the scalar curvature of gg is constant or a specific dimensional constant vanishes and ξ0\xi_0 is a stable critical point of a curvature-dependent function.

Juan Miguel Ruiz, Areli Vázquez Juárez2026-03-11🔢 math

Cumulative Riemann sums, distribution functions, and a universal inequality

This paper establishes a universal inequality for discrete cumulative Riemann sums of decreasing functions, demonstrating that the bound i=1naig(Si)01g(x)dx\sum_{i=1}^n a_i g(S_i) \le \int_0^1 g(x)\,dx arises from a distribution-free continuous identity and unifying its interpretation through Riemann sums, Abel summation, and majorization theory.

Jean-Christophe Pain2026-03-11🔢 math

Overlapping Schwarz Preconditioners for Pose-Graph SLAM in Robotics

This paper investigates the use of additive overlapping Schwarz domain decomposition methods as scalable preconditioners for solving the large sparse linear systems arising in pose-graph SLAM optimization, demonstrating through numerical experiments and structural analogies to finite element problems that these techniques ensure the convergence of the preconditioned conjugate gradient method remains independent of problem size.

Stephan Köhler, Oliver Rheinbach, Yue Xiang Tee, Sebastian Zug2026-03-11🔢 math

Four-field mixed finite elements for incompressible nonlinear elasticity

This paper introduces a stable, unconditionally robust four-field mixed finite element method for incompressible nonlinear elasticity that utilizes a discontinuous displacement field to eliminate the need for stabilization in both 2D and 3D, while providing theoretical well-posedness, error estimates, and an efficient postprocessing technique to recover accurate continuous solutions.

Santiago Badia, Wei Li, Ricardo Ruiz-Baier2026-03-11🔢 math

On the height boundedness of periodic and preperiodic points of dominant rational self-maps on projective varieties

This paper refutes the conjecture that isolated periodic points of automorphisms on affine spaces have bounded height by providing a counterexample, while simultaneously proving that cohomologically hyperbolic dominant rational self-maps on projective varieties possess a Zariski open subset with height-bounded periodic points and offering evidence that such boundedness may fail for preperiodic points.

Yohsuke Matsuzawa, Kaoru Sano2026-03-11🔢 math

Einstein deformations of Kähler Einstein metrics

This paper refines and extends recent results by Nagy and Semmelmann by demonstrating that the second-order Taylor expansion of Einstein deformations for negative Kähler-Einstein metrics is fully determined by the square of the initial deformation and the divergence of the Kodaira-Spencer bracket, thereby establishing a precise link between second-order Einstein deformation theory and the complex geometry of the underlying manifold.

Paul-Andi Nagy2026-03-11🔢 math

Critical stationary fluctuations in reaction--diffusion processes

This paper establishes that for a one-dimensional reaction-diffusion process combining symmetric simple exclusion and critical Glauber dynamics, the rescaled total magnetization converges to a non-Gaussian distribution with a quartic-exponential density, while the density field's fluctuations on zero-mean modes vanish, indicating that the macroscopic behavior is dominated by the magnetization mode.

Luis Cardoso, Claudio Landim, Kenkichi Tsunoda2026-03-11🔢 math

Unlocking High-Fidelity Analog Joint Source-Channel Coding on Standard Digital Transceivers

This paper introduces D2AJSCC, a novel framework that enables the deployment of high-fidelity analog joint source-channel coding on standard digital transceivers by utilizing orthogonal frequency-division multiplexing as a waveform synthesizer and a differentiable neural surrogate to overcome hardware mismatches and non-differentiable operations, thereby achieving graceful degradation without requiring hardware modifications.

Shumin Yao, Hao Chen, Yaping Sun, Nan Ma, Xiaodong Xu, Qinglin Zhao, Shuguang Cui2026-03-11🔢 math