229 research outputs found

    On the determination of the nonlinearity from localized measurements in a reaction-diffusion equation

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    This paper is devoted to the analysis of some uniqueness properties of a classical reaction-diffusion equation of Fisher-KPP type, coming from population dynamics in heterogeneous environments. We work in a one-dimensional interval (a,b)(a,b) and we assume a nonlinear term of the form u (μ(x)−γu)u \, (\mu(x)-\gamma u) where μ\mu belongs to a fixed subset of C0([a,b])C^{0}([a,b]). We prove that the knowledge of uu at t=0t=0 and of uu, uxu_x at a single point x0x_0 and for small times t∈(0,ε)t\in (0,\varepsilon) is sufficient to completely determine the couple (u(t,x),μ(x))(u(t,x),\mu(x)) provided γ\gamma is known. Additionally, if uxx(t,x0)u_{xx}(t,x_0) is also measured for t∈(0,ε)t\in (0,\varepsilon), the triplet (u(t,x),μ(x),γ)(u(t,x),\mu(x),\gamma) is also completely determined. Those analytical results are completed with numerical simulations which show that, in practice, measurements of uu and uxu_x at a single point x0x_0 (and for t∈(0,ε)t\in (0,\varepsilon)) are sufficient to obtain a good approximation of the coefficient μ(x).\mu(x). These numerical simulations also show that the measurement of the derivative uxu_x is essential in order to accurately determine μ(x)\mu(x)

    Simultaneous determination of the drift and diffusion coefficients in stochastic differential equations

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    In this work, we consider a one-dimensional It{\^o} diffusion process X t with possibly nonlinear drift and diffusion coefficients. We show that, when the diffusion coefficient is known, the drift coefficient is uniquely determined by an observation of the expectation of the process during a small time interval, and starting from values X 0 in a given subset of R. With the same type of observation, and given the drift coefficient, we also show that the diffusion coefficient is uniquely determined. When both coefficients are unknown, we show that they are simultaneously uniquely determined by the observation of the expectation and variance of the process, during a small time interval, and starting again from values X 0 in a given subset of R. To derive these results, we apply the Feynman-Kac theorem which leads to a linear parabolic equation with unknown coefficients in front of the first and second order terms. We then solve the corresponding inverse problem with PDE technics which are mainly based on the strong parabolic maximum principle

    Stability estimate in an inverse problem for non-autonomous Schr\"odinger equations

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    We consider the inverse problem of determining the time dependent magnetic field of the Schr\"odinger equation in a bounded open subset of RnR^n, with n≥1n \geq 1, from a finite number of Neumann data, when the boundary measurement is taken on an appropriate open subset of the boundary. We prove the Lispchitz stability of the magnetic potential in the Coulomb gauge class by nn times changing initial value suitably

    Optimization approach for the simultaneous reconstruction of the dielectric permittivity and magnetic permeability functions from limited observations

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    We consider the inverse problem of the simultaneous reconstruction of the dielectric permittivity and magnetic permeability functions of the Maxwell's system in 3D with limited boundary observations of the electric field. The theoretical stability for the problem is provided by the Carleman estimates. For the numerical computations the problem is formulated as an optimization problem and hybrid finite element/difference method is used to solve the parameter identification problem.Comment: in Inverse Problems and Imaging Volume: 9, Number: 1 February 2015. arXiv admin note: text overlap with arXiv:1510.0752

    Uniqueness and stability of time and space-dependent conductivity in a hyperbolic cylindrical domain

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    This paper is devoted to the reconstruction of the time and space-dependent coefficient in an infinite cylindrical hyperbolic domain. Using a local Carleman estimate we prove the uniqueness and a H\"older stability in the determining of the conductivity by a single measurement on the lateral boundary. Our numerical examples show good reconstruction of the location and contrast of the conductivity function in three dimensions.Comment: arXiv admin note: text overlap with arXiv:1501.0138

    Determining the waveguide conductivity in a hyperbolic equation from a single measurement on the lateral boundary

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    We consider the multidimensional inverse problem of determining the conductivity coefficient of a hyperbolic equation in an infinite cylindrical domain, from a single boundary observation of the solution. We prove H{\"o}lder stability with the aid of a Carleman estimate specifically designed for hyperbolic waveguides

    Lipschitz stability for an inverse hyperbolic problem of determining two coefficients by a finite number of observations

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    We consider an inverse problem of reconstructing two spatially varying coefficients in an acoustic equation of hyperbolic type using interior data of solutions with suitable choices of initial condition. Using a Carleman estimate, we prove Lipschitz stability estimates which ensures unique reconstruction of both coefficients. Our theoretical results are justified by numerical studies on the reconstruction of two unknown coefficients using noisy backscattered data

    Inverse problem for a parabolic system with two components by measurements of one component

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    We consider a 2×22\times 2 system of parabolic equations with first and zeroth coupling and establish a Carleman estimate by extra data of only one component without data of initial values. Then we apply the Carleman estimate to inverse problems of determining some or all of the coefficients by observations in an arbitrary subdomain over a time interval of only one component and data of two components at a fixed positive time θ\theta over the whole spatial domain. The main results are Lipschitz stability estimates for the inverse problems. For the Lipschitz stability, we have to assume some non-degeneracy condition at θ\theta for the two components and for it, we can approximately control the two components of the 2×22 \times 2 system by inputs to only one component. Such approximate controllability is proved also by our new Carleman estimate. Finally we establish a Carleman estimate for a 3×33\times 3 system for parabolic equations with coupling of zeroth-order terms by one component to show the corresponding approximate controllability with a control to one component
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