Adaptive Polyak Stepsize with Level-value Adjustment for Distributed Optimization

This paper proposes DPS-LA, a novel distributed optimization algorithm that overcomes the dependency on unknown global optimal values by using level-value adjustments and linear feasibility problems to achieve parameter-free adaptability, network consensus, and a linear speedup convergence rate of O(1/nT)\mathcal{O}(1/\sqrt{nT}).

Chen Ouyang, Yongyang Xiong, Jinming Xu, Keyou You, Yang Shi2026-03-11🔢 math

Stability Estimates for the Inverse Problem of Reconstructing Point sources in Parabolic Equations

This paper establishes stability estimates for reconstructing the locations and time-dependent amplitudes of point sources in parabolic equations with non-self-adjoint elliptic operators from boundary observations, utilizing a novel combination of Carleman estimates, solution regularity, and explicit adjoint constructions across various spatial dimensions, supported by numerical reconstructions.

Kuang Huang, Bangti Jin, Yavar Kian, Faouzi Triki2026-03-11🔢 math

Do Ambient Backscatter Communication Receivers Require Low-Noise Amplifiers?

This paper proposes a new symbol detection framework for ambient backscatter communication receivers equipped with low-noise amplifiers, demonstrating through bit error rate analysis and deflection coefficient evaluation that such amplifiers enhance detection performance at low-to-moderate transmission powers and deriving a near-optimal threshold estimation method using pilot symbols.

Xinyi Wang, Yuxin Li, Yinghui Ye, Gongpu Wang, Guangyue Lu2026-03-11🔢 math

Artificial Noise Versus Artificial Noise Elimination: Redefining Scaling Laws of Physical Layer Security

This paper establishes scaling laws for secrecy rates in MIMO wiretap channels to analyze the interplay between transmit, receive, and eavesdropper antennas, revealing that secure communication may fail when the eavesdropper has more than twice the transmitter's antennas and identifying conditions under which artificial noise remains effective against artificial noise elimination countermeasures.

Hong Niu, Tuo Wu, Xia Lei, Wanbin Tang, Mérouane Debbah, H. Vincent Poor, Chau Yuen2026-03-11🔢 math

Iwasawa Invariants of Even KK-groups of Rings of Integers in the Z2\mathbb{Z}_2-extension over Real Quadratic Number Fields

This paper derives an asymptotic formula for the order of the 2-primary parts of even K-groups in the cyclotomic Z2\mathbb{Z}_2-extensions of real quadratic number fields by analyzing 2-adic divisibility of Dirichlet L-series, thereby determining their Iwasawa invariants and explicitly characterizing the structure of 2-primary tame kernels for specific families of fields.

Li-Tong Deng, Yong-Xiong Li2026-03-11🔢 math

Asymptotics for a nonstandard risk model with multivariate subexponential claims and constant interest force

This paper investigates the asymptotic behavior of the entrance probability for discounted aggregate claims in a multivariate risk model with constant interest force and dependent subexponential claims over both finite and infinite time horizons, ultimately applying these findings to analyze ruin probabilities in models with Brownian perturbations.

Dimitrios G. Konstantinides, Charalampos D. Passalidis, Hui Xu2026-03-11🔢 math

Identification of a Point Source in the Heat Equation from Sparse Boundary Measurements

This paper establishes the unique recovery of the location and time-dependent amplitude of a point source in the heat equation from sparse boundary flux measurements on unit balls in higher dimensions and simply connected smooth domains in two dimensions, utilizing a combination of spectral analysis, kernel properties, and complex analysis, and validates these theoretical findings through numerical experiments.

Fangyu Gong, Bangti Jin, Yavar Kian, Sizhe Liu2026-03-11🔢 math