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Yibin Zhang

Publications and source records attributed to Yibin Zhang.

17 recordsLinked to original sources

Boundary concentration phenomena for an anisotropic Neumann problem in $\mathbb{R}^2$

Given a smooth bounded domain $Ω$ in $\mathbb{R}^2$, we study the following anisotropic Neumann problem $$ \begin{cases} -\nabla(a(x)\nabla u)+a(x)u=λa(x) u^{p-1}e^{u^p},\,\,\,\, u>0\,\,\,\,\, \textrm{in}\,\,\,\,\, Ω,\\[2mm] \frac{\partial u}{\partialν}=0\,\, \qquad\quad\qquad\qquad\qquad\qquad\qquad \ \ \ \ \,\qquad\quad\, \textrm{on}\,\,\, \partialΩ, \end{cases} $$ where $λ>0$ is a small parameter, $0<p<2$, $a(x)$ is a positive smooth function over $\overlineΩ$ and $ν$ denotes the outer unit normal vector to $\partialΩ$. Under suitable assumptions on anisotropic coefficient $a(x)$, we construct solutions $u_λ$ of this problem with arbitrarily many mixed interior and boundary bubbles which concentrate at totally different strict local maximum or minimal boundary points of $a(x)$ restricted to $\partialΩ$, or accumulate to the same strict local maximum boundary point of $a(x)$ over $\overlineΩ$ as $λ\rightarrow0$. Furthermore, for these bubbling solutions $u_λ$ we compute the delicate expansion of the corresponding energy $$ β_λ=\,\frac{λp}{2} \left( \int_Ω a(x)\big(e^{u_λ^p}-1\big)dx \right)^{\frac{2-p}{p}} \left( \int_Ω a(x)u_λ^p e^{u_λ^p}dx \right)^{\frac{2(p-1)}{p}} $$ and exhibit the sharp difference of tendency of energy $β_λ$ between $0<p<1$ and $1<p<2$.

math.AP

Sign-changing bubbling solutions for an exponential nonlinearity in $\mathbb{R}^2$

Very differently from those perturbative techniques of Deng-Musso in [27], we use the assumption of a $C^1$-stable critical point to construct positive or sign-changing solutions with arbitrary $m$ isolated bubbles to the boundary value problem $-Δu=λu|u|^{p-2}e^{|u|^p}$ under homogeneous Dirichlet boundary condition in a bounded, smooth planar domain $Ω$, when $0 0$ is a small but free parameter. We build a vanishing identity of first order and an identity of second order to prove that for any $0<p<1$ the delicate energy expansion of these bubbling solutions always converges to $4πm$ from below, but for any $1<p<2$ the energy always converges to $4πm$ from above, where the latter case sharply recurs a result of De Marchis-Malchiodi-Martinazzi-Thizy in [33] involving concentration and compactness properties at any critical energy level $4πm$ only for positive bubbling solutions. A sufficient condition on the intersection between the nodal line of these sign-changing solutions and the boundary of the domain is founded. Moreover, for $λ$ small enough, we prove that when $Ω$ is an arbitrary bounded domain, this problem has not only at least two pairs of bubbling solutions which change sign exactly once and whose nodal lines intersect the boundary, but also a bubbling solution which changes sign exactly twice or three times; when $Ω$ has an axial symmetry, this problem has a bubbling solution which alternately changes sign arbitrarily many times along the axis of symmetry through the domain.

math.AP

ParasGB: A Graph Benchmark Suite for Parasitic Estimation on AMS Circuits

As chip manufacturing processes advance to deep submicron nodes, parasitic interconnect effects increasingly dominate the performance of analog and mixed-signal (AMS) circuits and often lead to costly layout iterations. This makes early-stage estimation of parasitic capacitance and resistance important for parasitic-aware design exploration before full physical implementation. However, progress on GNN-based parasitic modeling has been hindered by the lack of public, high-fidelity RC benchmarks that support reproducible evaluation. To address this gap, we introduce ParasGB, the first open-source benchmark suite for pre-layout parasitic parameter prediction on circuit graphs. ParasGB provides large-scale, heterogeneous RC networks extracted with commercial EDA tools from tape-out-proven designs, together with a unified evaluation protocol covering node-level ground capacitance, edge-level resistance, and edge-level coupling capacitance. Within this framework, we benchmark diverse GNN architectures using a standardized training pipeline and expose challenges such as extreme label imbalance, long-tailed parasitic distributions, and strong structural heterogeneity. By establishing a physically grounded and standardized benchmark for early-stage parasitic prediction, ParasGB provides an open platform for reproducible research on circuit graph learning and parasitic-aware model development. All datasets, preprocessing scripts, and configurations are publicly available in our code repository https://github.com/ShenShan123/ParasGB.git.

cs.LG

Nonlinear asymptotic stability and optimal decay rate around the three-dimensional Oseen vortex filament

In the high-Reynolds-number regime, this work investigates the long-time dynamics of the three-dimensional incompressible Navier-Stokes equations near the Oseen vortex filament. The flow exhibits a strong interplay between vortex stretching, shearing, and mixing, which generates ever-smaller spatial scales and thereby significantly amplifies viscous effects. By adopting an anisotropic self-similar coordinate system adapted to the filament geometry, we establish the nonlinear asymptotic stability of the Oseen vortex filament. All non-axisymmetric perturbations are shown to decay at the optimal rate $t^{-κ|α|^{1/2}}$. At the linear level, this decay mechanism corresponds to a sharp spectral lower bound $Σ(α) \sim |α|^{1/2}$ for the nonlocal Oseen operator $L_\perp - αΛ_\perp$, and we identify an explicit spectral point attaining this optimal bound. Combined with the spectral estimates obtained in \cite{LWZ}, our analysis fully resolves the conjecture proposed in \cite{GM} concerning the asymptotic scaling laws for the spectral and pseudospectral bounds $Σ(α)$ and $Ψ(α)$. These results provide a rigorous mathematical explanation for the shear-mixing mechanism in the vicinity of the 3D Oseen vortex filament.

math.AP

Long time evolution of a pair of 2D viscous point vortices

This paper studies the long-time evolution of two point vortices under the 2D Navier-Stokes tokes equations. Starting from initial data given by a pair of Dirac measures, we derive an asymptotic expansion for the vorticity over time scales significantly longer than the advection time, yet shorter than the diffusion time. Building on previous works \cite{GS24-1, DG24}, we construct suitable approximate solutions $Ω_a$ and employ Arnold's method to define a nonlinear energy functional $E_\ve[\om]$, with respect to which the linearized operator $Λ^{E,\star}$ around $Ω_a$ is nearly skew-adjoint. A key innovation in this work is the introduction of ``pseudo-momenta'': $\varrho^e_a, \varrho^o_a,\varrho^{te}_a, \varrho^{to}_a$, which correspond to eigenfunctions or other nontrivial elements in invariant subspaces of $Λ^E$, derived from the Lie structure of the 2D Euler equations.

math.AP

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction

Graph representation learning is a powerful method to extract features from graph-structured data, such as analog/mixed-signal (AMS) circuits. However, training deep learning models for AMS designs is severely limited by the scarcity of integrated circuit design data. In this work, we present CircuitGPS, a few-shot learning method for parasitic effect prediction in AMS circuits. The circuit netlist is represented as a heterogeneous graph, with the coupling capacitance modeled as a link. CircuitGPS is pre-trained on link prediction and fine-tuned on edge regression. The proposed method starts with a small-hop sampling technique that converts a link or a node into a subgraph. Then, the subgraph embeddings are learned with a hybrid graph Transformer. Additionally, CircuitGPS integrates a low-cost positional encoding that summarizes the positional and structural information of the sampled subgraph. CircuitGPS improves the accuracy of coupling existence by at least 20\% and reduces the MAE of capacitance estimation by at least 0.067 compared to existing methods. Our method demonstrates strong inherent scalability, enabling direct application to diverse AMS circuit designs through zero-shot learning. Furthermore, the ablation studies provide valuable insights into graph models for representation learning.

cs.LG

Nonlinear asymptotic stability of 2D Taylor-Couette flow in the exterior disk

In this paper, we consider the asymptotic stability of the 2D Taylor-Couette flow in the exterior disk, with a small kinematic viscosity $ν\ll 1$ and a large rotation coefficient $|B|$. Due to the degeneracy of the Taylor-Couette flow at infinity, we cannot expect the solution to decay exponentially in a space-time decoupled manner. As stated in previous work \cite{LZZ-25}, even space-time coupled exponential decay can not be expected, and at most, we can obtain space-time coupled polynomial decay. To handle the space-time coupled decay multiplier, the previous time-independent resolvent estimate methods no longer work. Therefore, this paper introduces time-dependent resolvent estimates to deal with the space-time coupled decay multiplier $Λ_k$. We remark that the choice of $Λ_k$ is not unique, here we just provide one way to construct it. Finally, as an application, we derive a transition threshold bound of $\frac12$, which is the same as that for the Taylor-Couette flow in the bounded region.

math.AP

Linear enhanced dissipation for the 2D Taylor-Couette flow in the exterior region: A supplementary example for Gearhart-Prüss type lemma

From the perspective of asymptotic stability at high Reynolds numbers, Taylor-Couette flow, as a typical rotating shear flow, exhibits rich decay behaviors. Previously, for the extensively studied Couette flow or the Taylor-Couette flow in bounded annular domains, methods based on resolvent estimates could derive exponential decay asymptotic for the solutions of the linearized system. However, unlike the Couette flow or the Taylor-Couette flow in bounded annular domains, the Taylor-Couette flow in exterior regions exhibits degeneration of derivatives of any order at infinity. In this paper, we present in Theorem 1.1 that the linearized system of the 2D Taylor-Couette flow in the exterior region exhibits space-time coupled polynomial decay asymptotics. We also prove that the solution to this system, when it contains inhomogeneous terms, cannot be expected to exhibit space-time coupled exponential decay, as detailed in Theorem 1.2. The result of Theorem 1.2 indicates that, even if we can obtain sharp resolvent estimates in different weighted spaces, the Gearhart-Prüss type lemma no longer applies. This suggests that resolvent estimates may not be very effective for handling degenerate shear flows. Furthermore, Theorem 1.2 also implies that, for the transition threshold problem of the 2D Taylor-Couette flow in exterior regions, we can at most expect the solution to exhibit long-time behavior with space-time coupled polynomial decay. Finally, we present a generalization of Theorem 1.2, as detailed in Theorem 1.3.

math.AP

The Lazer-McKenna conjecture for an anisotropic planar exponential nonlinearity with a singular source

Given a bounded smooth domain $Ω$ in $\mathbb{R}^2$, we study the following anisotropic elliptic problem $$ \begin{cases} -\nabla\big(a(x)\nabla \upsilon\big)= a(x)\big[e^{\upsilon}-sϕ_1-4παδ_q-h(x)\big]\,\,\,\, \,\textrm{in}\,\,\,\,\,Ω,\\[2mm] \upsilon=0 \qquad\qquad\qquad\qquad\qquad \qquad\qquad\qquad\qquad\quad \textrm{on}\,\ \,\partialΩ, \end{cases} $$ where $a(x)$ is a positive smooth function, $s>0$ is a large parameter, $h\in C^{0,γ}(\overlineΩ)$, $q\inΩ$, $α\in(-1,+\infty)\setminus\mathbb{N}$, $δ_q$ denotes the Dirac measure with pole at point $q$ and $ϕ_1$ is a positive first eigenfunction of the problem $-\nabla\big(a(x)\nabla ϕ\big)=λa(x)ϕ$ under Dirichlet boundary condition in $Ω$. We show that if $q$ is both a local maximum point of $ϕ_1$ and an isolated local maximum point of $a(x)ϕ_1$, this problem has a family of solutions $\upsilon_s$ with arbitrary $m$ bubbles accumulating to $q$ and the quantity $\int_Ωa(x)e^{\upsilon_s}\rightarrow8π(m+1+α)a(q)ϕ_1(q)$ as $s\rightarrow+\infty$, which give a positive answer to the Lazer-McKenna conjecture for this case.

math.AP

Quasi-neutral limit of Nernst-Planck-Navier-Stokes system

In this paper, we investigate the quasi-neutral limit of Nernst-Planck-Navier-Stokes system in a smooth bounded domain $Ω$ of $\mathbb{R}^d$ for $d=2,3,$ with ``electroneutral boundary conditions" and well-prepared data. We first prove by using modulated energy estimate that the solution sequence converges to the limit system in the norm of $L^\infty((0,T);L^2(Ω))$ for some positive time $T.$ In order to justify the limit in a stronger norm, we need to construct both the initial layers and weak boundary layers in the approximate solutions.

math.AP

Attention Mechanism Based Intelligent Channel Feedback for mmWave Massive MIMO Systems

The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of instantaneous channel state information (CSI) at the base station (BS). However, no existence of channel reciprocity leads to the difficult acquisition of accurate CSI at the BS in frequency division duplex (FDD) systems. Many researchers explored effective architectures based on deep learning (DL) to solve this problem and proved the success of DL-based solutions. However, existing schemes focused on the acquisition of complete CSI while ignoring the beamforming and precoding operations. In this paper, we propose an intelligent channel feedback architecture using eigenmatrix and eigenvector feedback neural network (EMEVNet). With the help of the attention mechanism, the proposed EMEVNet can be considered as a dual channel auto-encoder, which is able to jointly encode the eigenmatrix and eigenvector into codewords. Simulation results show great performance improvement and robustness with extremely low overhead of the proposed EMEVNet method compared with the traditional DL-based CSI feedback methods.

cs.IT

A Real-World Radio Frequency Signal Dataset Based on LTE System and Variable Channels

Radio Frequency Fingerprint (RFF) identification on account of deep learning has the potential to enhance the security performance of wireless networks. Recently, several RFF datasets were proposed to satisfy requirements of large-scale datasets. However, most of these datasets are collected from 2.4G WiFi devices and through similar channel environments. Meanwhile, they only provided receiving data collected by the specific equipment. This paper utilizes software radio peripheral as a dataset generating platform. Therefore, the user can customize the parameters of the dataset, such as frequency band, modulation mode, antenna gain, and so on. In addition, the proposed dataset is generated through various and complex channel environments, which aims to better characterize the radio frequency signals in the real world. We collect the dataset at transmitters and receivers to simulate a real-world RFF dataset based on the long-term evolution (LTE). Furthermore, we verify the dataset and confirm its reliability. The dataset and reproducible code of this paper can be downloaded from GitHub link: https://github.com/njuptzsp/XSRPdataset.

eess.SP

Concentrating solutions for an anisotropic planar elliptic Neumann problem with Hardy-Hénon weight and large exponent

Let $Ω$ be a bounded domain in $\mathbb{R}^2$ with smooth boundary, we study the following anisotropic elliptic Neumann problem with Hardy-Hénon weight $$ \begin{cases} -\nabla(a(x)\nabla u)+a(x)u=a(x)|x-q|^{2α}u^p,\,\,\,\, u>0\,\,\,\,\, \textrm{in}\,\,\,\,\, Ω,\\[2mm] \frac{\partial u}{\partialν}=0\,\, \qquad\quad\qquad\qquad\qquad \qquad\qquad\qquad\qquad \,\ \ \,\,\,\, \textrm{on}\,\,\, \partialΩ, \end{cases} $$ where $ν$ denotes the outer unit normal vector to $\partialΩ$, $q\in\overlineΩ$, $α\in(-1,+\infty)\setminus\mathbb{N}$, $p>1$ is a large exponent and $a(x)$ is a positive smooth function. We investigate the effect of the interaction between anisotropic coefficient $a(x)$ and singular source $q$ on the existence of concentrating solutions. We show that if $q\inΩ$ is a strict local maximum point of $a(x)$, there exists a family of positive solutions with arbitrarily many interior spikes accumulating to $q$; while if $q\in\partialΩ$ is a strict local maximum point of $a(x)$ and satisfies $\langle\nabla a(q),\,ν(q)\rangle=0$, such a problem has a family of positive solutions with arbitrarily many mixed interior and boundary spikes accumulating to $q$. In particular, we find that concentration at singular source $q$ is always possible whether $q\in\overlineΩ$ is an isolated local maximum point of $a(x)$ or not.

math.AP

A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features

Millimeter wave (mmWave) communication technique has been developed rapidly because of many advantages of high speed, large bandwidth, and ultra-low delay. However, mmWave communications systems suffer from fast fading and frequent blocking. Hence, the ideal communication environment for mmWave is line of sight (LOS) channel. To improve the efficiency and capacity of mmWave system, and to better build the Internet of Everything (IoE) service network, this paper focuses on the channel identification technique in line-of- sight (LOS) and non-LOS (NLOS) environments. Considering the limited computing ability of user equipments (UEs), this paper proposes a novel channel identification architecture based on eigen features, i.e. eigenmatrix and eigenvector (EMEV) of channel state information (CSI). Furthermore, this paper explores clustered delay line (CDL) channel identification with mmWave, which is defined by the 3rd generation partnership project (3GPP). Ther experimental results show that the EMEV based scheme can achieve identification accuracy of 99.88% assuming perfect CSI. In the robustness test, the maximum noise can be tolerated is SNR= 16 dB, with the threshold acc \geq 95%. What is more, the novel architecture based on EMEV feature will reduce the comprehensive overhead by about 90%.

eess.SP

Bubbling solutions for a planar exponential nonlinear elliptic equation with a singular source

Let $Ω$ be a bounded domain in $\mathbb{R}^2$ with smooth boundary, we study the following elliptic Dirichlet problem $$ \begin{cases} -Δ\upsilon= e^{\upsilon}-sϕ_1-4παδ_p-h(x)\,\,\,\, \,\textrm{in}\,\,\,\,\,Ω,\\[2mm] \upsilon=0 \quad\quad\quad\quad\quad\quad \qquad\qquad\quad\quad\,\,\,\, \textrm{on}\,\ \,\partialΩ, \end{cases} $$ where $s>0$ is a large parameter, $h\in C^{0,γ}(\overlineΩ)$, $p\inΩ$, $α\in(-1,+\infty)\setminus\mathbb{N}$, $δ_p$ denotes the Dirac measure supported at point $p$ and $ϕ_1$ is a positive first eigenfunction of the problem $-Δϕ=λϕ$ under Dirichlet boundary condition in $Ω$. If $p$ is a strict local maximum point of $ϕ_1$, we show that such a problem has a family of solutions $\upsilon_s$ with arbitrary $m$ bubbles accumulating to $p$, and the quantity $\int_Ωe^{\upsilon_s}\rightarrow8π(m+1+α)ϕ_1(p)$ as $s\rightarrow+\infty$.

math.AP

Boundary separated and clustered layer positive solutions for an elliptic Neumann problem with large exponent

Given a smooth bounded domain $\mathcal{D}$ in $\mathbb{R}^N$ with $N\geq3$, we study the existence and the profile of positive solutions for the following elliptic Nenumann problem $$\begin{cases}-Δ\upsilon+\upsilon=\upsilon^p,\,\quad \upsilon>0 \quad\textrm{in}\ \mathcal{D},\\[1mm] \frac{\partial \upsilon}{\partialν}=0\qquad\qquad\qquad\qquad \textrm{on}\ \partial\mathcal{D}, \end{cases}$$ where $p>1$ is a large exponent and $ν$ denotes the outer unit normal vector to the boundary $\partial\mathcal{D}$. For suitable domains $\mathcal{D}$, by a constructive way we prove that, for any non-negative integers $k$, $l$ with $k+l\geq1$, if $p$ is large enough, such a problem has a family of positive solutions with $k$ boundary layers and $l$ interior layers which concentrate along $k+l$ distinct $(N-2)$-dimensional minimal submanifolds of $\partial\mathcal{D}$, or collapse to the same $(N-2)$-dimensional minimal submanifold of $\partial\mathcal{D}$ as $p\rightarrow+\infty$.

math.AP

Splash control of drop impacts with geometric targets

Drop impacts on solid and liquid surfaces exhibit complex dynamics due to the competition of inertial, viscous, and capillary forces. After impact, a liquid lamella develops and expands radially, and under certain conditions, the outer rim breaks up into an irregular arrangement of filaments and secondary droplets. We show experimentally that the lamella expansion and subsequent break up of the outer rim can be controlled by length scales that are of comparable dimension to the impacting drop diameter. Under identical impact parameters, ie. fluid properties and impact velocity, we observe unique splashing dynamics by varying the target cross-sectional geometry. These behaviors include: (i) geometrically-shaped lamellae and (ii) a transition in splashing stability, from regular to irregular splashing. We propose that regular splashes are controlled by the azimuthal perturbations imposed by the target cross-sectional geometry and that irregular splashes are governed by the fastest-growing unstable Plateau-Rayleigh mode.

physics.flu-dyn