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We study the perfect conductivity problem with closely spaced perfect conductors embedded in a homogeneous matrix where the current-electric field relation is the power law $J=\sigma|E|^{p-2}E$. The gradient of solutions may be arbitrarily…

Analysis of PDEs · Mathematics 2023-11-21 Hongjie Dong , Zhuolun Yang , Hanye Zhu

We study the insulated conductivity problem with inclusions embedded in a bounded domain in $\mathbb{R}^n$. The gradient of solutions may blow up as $\varepsilon$, the distance between inclusions, approaches to $0$. An upper bound for the…

Analysis of PDEs · Mathematics 2020-12-29 YanYan Li , Zhuolun Yang

We study the insulated conductivity problem with inclusions embedded in a bounded domain in $\mathbb{R}^n$. The gradient of solutions may blow up as $\varepsilon$, the distance between inclusions, approaches to $0$. It was known that the…

Analysis of PDEs · Mathematics 2022-02-25 Hongjie Dong , YanYan Li , Zhuolun Yang

We consider the insulated conductivity problem with two unit balls as insulating inclusions, a distance of order $\varepsilon$ apart. The solution $u$ represents the electric potential. In dimensions $n \ge 3$ it is an open problem to find…

Analysis of PDEs · Mathematics 2024-12-16 Ben Weinkove

A high-contrast two-phase nonlinear composite material with adjacent inclusions of $m$-convex shapes is considered for $m>2$. The mathematical formulation consists of the insulated conductivity problem with $p$-Laplace operator in…

Analysis of PDEs · Mathematics 2023-06-14 Qionglei Chen , Zhiwen Zhao

We study the insulated conductivity problem with inclusions embedded in a bounded domain in $\mathbb R^n$, for $n \ge 3$. The gradient of solutions may blow up as $\varepsilon$, the distance between inclusions, approaches to $0$. We…

Analysis of PDEs · Mathematics 2022-04-07 Hongjie Dong , Yanyan Li , Zhuolun Yang

We study the insulated conductivity problem which involves two adjacent convex insulators embedded in a bounded domain. It is known that the gradient of solutions may blow up as the distance between the two inclusions tends to zero.…

Analysis of PDEs · Mathematics 2024-08-29 Haigang Li , Yan Zhao

We consider an insulated conductivity model with two neighboring inclusions of $m$-convex shapes in $\mathbb{R}^{d}$ when $m\geq2$ and $d\geq3$. We establish the pointwise gradient estimates for the insulated conductivity problem and…

Analysis of PDEs · Mathematics 2023-03-29 Zhiwen Zhao

In high-contrast composites, the electric (or stress) field may exhibit significant amplification in the narrow region between inclusions. The behavior of the solution depends on the distance $\epsilon$ between the inclusions, which tends…

Analysis of PDEs · Mathematics 2026-04-28 Linjie Ma

In this paper, we study the perfect and the insulated conductivity problems with multiple inclusions imbedded in a bounded domain in $\mathbb{R}^n, n\ge 2$. For these two extreme cases of the conductivity problems, the gradients of their…

Analysis of PDEs · Mathematics 2009-09-23 Ellen ShiTing Bao , YanYan Li , Biao Yin

In this paper, we investigate the gradient estimates for solutions to the perfect conductivity problem with two closely spaced perfect conductors embedded in a homogeneous matrix, modeled by $p$-Laplacian elliptic equations. We first prove…

Analysis of PDEs · Mathematics 2026-01-15 Hongjie Dong , Longjuan Xu

We consider a gradient estimate for a conductivity problem whose inclusions are two neighboring insulators in three dimensions. When inclusions with an extreme conductivity (insulators or perfect conductors) are closely located, the…

Analysis of PDEs · Mathematics 2015-12-15 KiHyun Yun

In high-contrast composite materials, the electric (or stress) field may blow up in the narrow region between inclusions. The gradient of solutions depend on $\epsilon$, the distance between the inclusions, where $\epsilon$ approaches to…

Analysis of PDEs · Mathematics 2026-04-22 Linjie Ma

In this paper we study the boundary gradient estimate of the solution to the insulated conductivity problem with the Neumann boundary data when a convex insulating inclusion approaches the boundary of the matrix domain. The gradient of…

Analysis of PDEs · Mathematics 2024-09-27 Haigang Li , Yan Zhao

We study the insulated conductivity problem with inclusions embedded in a bounded domain in $\mathbb{R}^n$. It was known that in the setting of strictly convex inclusions, the gradient of solutions may blow up as the distance between…

Analysis of PDEs · Mathematics 2025-08-19 Hongjie Dong , Zhuolun Yang , Hanye Zhu

In high-contrast composite materials, the electric field concentration is a common phenomenon when two inclusions are close to touch. It is important from an engineering point of view to study the dependence of the electric field on the…

Analysis of PDEs · Mathematics 2019-12-12 Yu Chen , Haigang Li , Longjuan Xu

This paper concerns optimal gradient estimates of solutions for the perfect conductivity problem with closely spaced interfacial boundaries. The problem arises from composite material. Our estimates exhibit different blow up rates of the…

Analysis of PDEs · Mathematics 2007-05-23 Ellen Shiting Bao , YanYan Li , Biao Yin

We investigate a generalization of Calder\'on's problem of recovering the conductivity coefficient in a conductivity equation from boundary measurements. As a model equation we consider the p-conductivity equation with p strictly between…

Analysis of PDEs · Mathematics 2019-01-23 Tommi Brander

We study the gradient and higher order derivative estimates for the transmission problem in the presence of closely located inclusions. We show that in two dimensions, when relative conductivities of circular inclusions have different…

Analysis of PDEs · Mathematics 2023-06-13 Hongjie Dong , Zhuolun Yang

We recover the gradient of a scalar conductivity defined on a smooth bounded open set in $\mathbb{R}^d$ from the Dirichlet to Neumann map arising from the $p$-Laplace equation. For any boundary point we recover the gradient using Dirichlet…

Analysis of PDEs · Mathematics 2016-04-21 Tommi Brander
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