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Exponentially convergent algorithms for the operator exponential with applications to inhomogeneous problems in Banach spaces

机译:算符指数的指数收敛算法及其在Banach空间中非均匀问题的应用

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New exponentially convergent algorithms for the operator exponential generated by a strongly positive operator A in a Banach space X are proposed. These algorithms are based on representations by a Dunford-Cauchy integral along paths enveloping the spectrum of A combined with a proper quadrature involving a short sum of resolvents where the choice of the integration path dramatically affects desired features of the algorithms. A parabola and a hyperbola are analyzed as the integration paths, and scales of estimates of dependence on the smoothness of initial data, i. e., of the initial vector and of the inhomogeneous right-hand side, are obtained. One of the algorithms possesses an exponential convergence rate for the operator exponential e(-At) for all t >= 0 including the initial point. This allows one to construct an exponentially convergent algorithm for inhomogeneous initial value problems. The algorithm is parallelizable. It turns out that the resolvent must be modified in order to get numerically stable algorithms near the initial point. The efficiency of the proposed method is demonstrated by numerical examples.
机译:针对Banach空间X中由强正算子A产生的算子指数,提出了新的指数收敛算法。这些算法基于邓福德-考伊(Dunford-Cauchy)积分的表示,该积分沿着包围A谱的路径结合了适当的正交,该正交涉及少量的分解物,其中积分路径的选择会极大地影响算法的所需功能。分析抛物线​​和双曲线作为积分路径,以及依赖于初始数据平滑度的估计量表。获得初始向量的和右手边的不均匀。对于包括初始点在内的所有t> = 0,运算符指数e(-At)的一种算法具有指数收敛速率。这样就可以构造一个针对非均匀初始值问题的指数收敛算法。该算法是可并行化的。事实证明,必须修改解析器,才能在初始点附近获得数值稳定的算法。数值算例证明了该方法的有效性。

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