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相关论文: On the identification of source term in the heat e…

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In this work we investigate the inverse problem of recovering one point source in the heat equation from sparse boundary measurement, i.e., the flux data at several points on the boundary. We prove the unique recovery of the location and…

偏微分方程分析 · 数学 2026-03-11 Fangyu Gong , Bangti Jin , Yavar Kian , Sizhe Liu

In this work the authors consider the recovery of the point source in the heat equation. The used data is the sparse boundary measurements. The uniqueness theorem of the inverse problem is given. After that, the numerical reconstruction is…

数值分析 · 数学 2025-02-06 Qiling Gu , Wenlong Zhang , Zhidong Zhang

Let $\Omega$ be a two-dimensional heat conduction body. We consider the problem of determining the heat source $F(x,t)=\varphi(t)f(x,y)$ with $\varphi$ be given inexactly and $f$ be unknown. The problem is nonlinear and ill-posed. By a…

偏微分方程分析 · 数学 2008-07-14 Dang Duc Trong , Truong Trung Tuyen , Phan Thanh Nam , Alain Pham Ngoc Dinh

This study focuses on addressing the inverse source problem associated with the parabolic equation. We rely on sparse boundary flux data as our measurements, which are acquired from a restricted section of the boundary. While it has been…

数值分析 · 数学 2023-10-18 Guang Lin , Na Ou , Zecheng Zhang , Zhidong Zhang

We consider the homogeneous heat equation in a domain $\Omega$ in $\mathbb{R}^n$ with vanishing initial data and the Dirichlet boundary condition. We are looking for solutions in $W^{r,s}_{p,q}(\Omega\times(0,T))$, where $r < 2$, $s < 1$,…

偏微分方程分析 · 数学 2012-04-27 B. Nowakowski , W. Zajączkowski

This paper deals with the numerical methods for the reconstruction of source term in linear parabolic equation from final overdetermination. We assume that the source term has the form f(x)h(t) and h(t) is given, which guarantees the…

偏微分方程分析 · 数学 2014-02-19 Xiaoping Fang , Youjun Deng , Jing Li

We consider the problem of determining a pair of functions $(u,f)$ satisfying the heat equation $u_t -\Delta u =\varphi(t)f (x,y)$, where $(x,y)\in \Omega=(0,1)\times (0,1)$ and the function $\varphi$ is given. The problem is ill-posed.…

偏微分方程分析 · 数学 2009-11-11 Dang Duc Trong , Alain Pham Ngoc Dinh , Phan Thanh Nam

We study the problem of recovery the source $a(t,x)F(x)$ in the wave equation in anisotropic medium with $a$ known so that $a(0,x)\not=0$ with a single measurement. We use Carleman estimates combined with geometric arguments and give sharp…

偏微分方程分析 · 数学 2011-03-08 Plamen Stefanov , Gunther Uhlmann

In this paper, we focus on the backward heat problem of finding the function $\theta(x,y)=u(x,y,0)$ such that \[ {l l l} u_t - a(t)(u_{xx} + u_{yy}) & = f(x,y,t), & \qquad (x,y,t) \in \Omega\times (0,T), u(x,y,T) & = h(x,y), & \qquad (x,y)…

偏微分方程分析 · 数学 2016-06-20 Nguyen Dang Minh , To Duc Khanh , Nguyen Huy Tuan , Dang Duc Trong

This paper investigates an inverse random source problem for stochastic evolution equations, including stochastic heat and wave equations, with the unknown source modeled as $g(x)f(t)\dot{W}(t)$. The research commences with the…

偏微分方程分析 · 数学 2025-09-22 Xu Wang , Guanlin Yang , Zhidong Zhang

Four problems about recovery of a high-frequency source in the one-dimension heat equation with homogeneous initial-boundary conditions by some information about partial asymptotic of its solution have solved. It is shown, that the source…

偏微分方程分析 · 数学 2017-04-19 Pavel V. Babich , Valeriy B. Levenshtam , Sergey P. Prika

This paper considers the inverse problem of identifying the source term of parabolic equations from sparse boundary measurements. We used data from moving sensors to locate the unknown source term. This work first proves the uniqueness of…

偏微分方程分析 · 数学 2026-04-14 Qiling Gu , Wenlong Zhang , Zhidong Zhang

This article addresses the inverse source problem for a nonlocal heat equation involving the fractional Laplacian. The primary goal is to reconstruct the spatial component of the source term from partial observations of the system's state…

数值分析 · 数学 2025-10-17 Galina García , Joaquín Vidal , Sebastián Zamorano

We consider the inverse source problem in the parabolic equation, where the unknown source possesses the semi-discrete formulation. Theoretically, we prove that the flux data from any nonempty open subset of the boundary can uniquely…

数值分析 · 数学 2022-11-23 Guang Lin , Zecheng Zhang , Zhidong Zhang

In this article, for a two dimensional fractional diffusion equation, we study an inverse problem for simultaneous restoration of the fractional order and the source term from the sparse boundary measurements. By the adjoint system…

偏微分方程分析 · 数学 2020-12-02 Zhiyuan Li , Zhidong Zhang

This paper considers a local and non-local problem characterized by singular nonlinearity and a source term. Specifically, we focus on the following problem: \begin{equation}\label{A}\tag{P} -\Delta_{p} u + (-\Delta)^{s}_{q} u = f(x)…

偏微分方程分析 · 数学 2024-11-05 Abdelhamid Gouasmia

In this work, an inverse problem in the fractional diffusion equation with random source is considered. The measurements used are the statistical moments of the realizations of single point data $u(x_0,t,\omega).$ We build the…

偏微分方程分析 · 数学 2020-04-09 Shubin Fu , Zhidong Zhang

The problem of recovering coefficients in a diffusion equation is one of the basic inverse problems. Perhaps the most important term is the one that couples the length and time scales and is often referred to as {\it the\/} diffusion…

偏微分方程分析 · 数学 2021-01-19 Barbara Kaltenbacher , William Rundell

We consider a fractional diffusion equations of order $\alpha\in(0,1)$ whose source term is singular in time: $(\partial_t^\alpha+A)u(x,t)=\mu(t)f(x)$, $(x,t)\in\Omega\times(0,T)$, where $\mu$ belongs to a Sobolev space of negative order.…

偏微分方程分析 · 数学 2024-01-05 Yikan Liu , Masahiro Yamamoto

We study an inverse parabolic problem of identifying two source terms in heat equation with dynamic boundary conditions from a final time overdetermination data. Using a weak solution approach by Hasanov, the associated cost functional is…

偏微分方程分析 · 数学 2022-03-22 E. M. Ait Ben Hassi , S. E. Chorfi , L. Maniar
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