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Conditions for the Qualified Convergence of Finite Difference Methods and the Quasi-Reversibility Method for Solving Linear Ill-Posed Cauchy Problems in a Hilbert Space

机译:有限差分方法合格融合的条件及其在希尔伯特空间中解决线性不良型Cauchy问题的准可逆方法

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摘要

We study finite difference methods and the quasi-reversibility method in application to linear ill-posed Cauchy problems with a self-adjoint operator in a Hilbert space with exact data. We prove that for these problems, it is possible to strengthen our earlier results on the convergence of the mentioned methods in a general case of a Banach space. We establish close to each other necessary and sufficient conditions for the qualified convergence of methods under consideration in terms of the source-representability exponent of the desired solution. We prove that (except the trivial case) the power estimates of the convergence rate of the considered methods cannot exceed the saturation level that corresponds to this or that method.
机译:我们研究有限差分方法和应用程序中的准可逆方法,以精确的数据在希尔伯特空间中的自伴随运算符线性呈现Cauchy问题。 我们证明,对于这些问题,可以加强我们之前的成果在Banach空间的一般情况下提到的方法的收敛性。 我们在所需解决方案的源代理指数的源代理指数方面彼此接近彼此的必要条件,以便在考虑所考虑的方法的合格趋同。 我们证明(除了琐碎的情况外)所考虑方法的收敛速率的功率估计不能超过与此或该方法对应的饱和度。

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