AI中文摘要
已知微悬臂梁尖端的振动特性及其与样品的关系在提高原子力显微镜(AFM)分辨率中起着非常重要的作用。本文在欧拉-伯努利梁模型框架内,考虑一个具有两个未知输入和两个测量输出的数学模型,用于从同一尖端的两个可行测量输出——挠度和斜率——同时确定微悬臂梁尖端的未知弯矩和剪切力。该模型导致以下反问题:在齐次初始条件和边界条件 $u(0,t)=u_{x}(0,t)=0$,$\left(r(x)u_{xx}\right)_{x=\ell}=M(t)$,$\left((r(x)u_{xx})_x\right)_{x=\ell}=g(t)$ 下,从测量输出 $w_{\ell}(t):=u(\ell,t)$ 和 $\theta_{\ell}(t):=u_x(\ell,t)$ 中,求 $\rho_A(x)u_{tt}+\mu(x) u_{t}+(r(x)u_{xx})_{xx}=0$,$(x,t)\in \Omega_T:=(0,\ell)\times (0,T)$ 中的 $M(t)$ 和 $g(t)$。证明了向量形式的输入输出映射 $\mathcal{P}:=\left (\Phi, \Psi \right )$,其中 $\left (\Phi q \right )(t):=u(0,t;q)$ 和 $\left (\Psi q\right )(t):=u_x(0,t;q)$,$q(t):=\left (M(t),g(t)\right )$,对应于该反问题,是紧且Lipschitz连续的。这一结果使我们能够证明Tikhonov泛函的极小化问题解的存在性。因此,建立了反问题的拟解的存在性。此外,推导了Tikhonov泛函的Frechet梯度的向量形式表达式,并严格证明了Frechet梯度的Lipschitz连续性。这一关键性质确保了基于梯度的迭代数值方法的单调行为。
英文摘要
It is known that the study of vibration characteristics at the tip of the micro-cantilever and its relationship to the sample plays a very important role in improving the resolution of an Atomic Force Microscopy (AFM). In this paper, within the Euler Bernoulli beam model, a mathematical model, defined as a model with two unknown inputs and two measured outputs, is considered for the simultaneous determination of the unknown bending moment and the shear force at the tip of the micro-cantilever from two feasible measured outputs at the same tip: the deflection and the slope. This model leads to the following inverse problem: find $M(t)$ and $g(t)$ in $\rho_A(x)u_{tt}+\mu(x) u_{t}+(r(x)u_{xx})_{xx}=0$, $(x,t)\in \Omega_T:=(0,\ell)\times (0,T)$ subject to the boundary conditions $u(0,t)=u_{x}(0,t)=0$, $\left(r(x)u_{xx}\right)_{x=\ell}=M(t)$, $\left((r(x)u_{xx})_x\right)_{x=\ell}=g(t)$, and the homogenous initial conditions, from the measured outputs $w_{\ell}(t):=u(\ell,t)$ and $\theta_{\ell}(t):=u_x(\ell,t)$. It is proved that the vector-form input-output map $\mathcal{P}:=\left (\Phi, \Psi \right )$, with $\left (\Phi q \right )(t):=u(0,t;q)$ and $\left (\Psi q\right )(t):=u_x(0,t;q)$, where $q(t):=\left (M(t),g(t)\right )$, corresponding to the inverse problem, is compact and Lipschitz continuous. This result allows us to prove the existence of a solution of the minimization problem for the Tikhonov functional. As a consequence, the existence of a quasi-solution to the inverse problem is established. Furthermore, a vector form expression for the Frechet gradient of the Tikhonov functional is derived, and the Lipschitz continuity of the Frechet gradient is rigorously proven. This crucial property ensures the monotonic behavior of iterative gradient-based numerical methods.