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arXiv math/0608567math.NAcs.NA
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一维标量守恒律初边值问题的平衡格式

Well-Balanced Schemes for the Initial Boundary Value Problem for 1D Scaler Conservation Laws

M. Nolte, D. Kroener

AI总结:

针对带源项的一维标量守恒律初边值问题,提出平衡格式并证明其收敛到熵解,通过推广Otto熵解概念并利用Engquist-Osher通量识别数值熵通量。

摘要:

我们考虑以下带源项的一维标量守恒律的平衡格式:d_t u + d_x f(u) + z'(x) b(u) = 0。更准确地说,我们对该方程的初边值问题的数值逼近感兴趣。虽然我们的主要关注点是收敛性结果,但我们还必须将Otto的熵解概念推广到带源项的守恒律。为了得到唯一性,我们证明了一个推广,即所谓的熵过程解,是唯一的并且与熵解一致。如果初始和边界数据本质有界,我们可以建立收敛到熵解。通过证明数值解有界,我们可以提取一个弱*收敛子序列。将其极限识别为熵过程解需要一些努力,因为我们不能在这里使用Kruzkov型熵对。我们限制自己使用Engquist-Osher通量,并识别任意熵对的数值熵通量。通过唯一性结果,该格式逼近熵解,而Vovelle的一个结果则保证对于有限的p,收敛在L^p中是强的。

英文摘要:

We consider well-balanced schemes for the following 1D scalar conservation law with source term: d_t u + d_x f(u) + z'(x) b(u) = 0. More precisely, we are interested in the numerical approximation of the initial boundary value problem for this equation. While our main concern is a convergence result, we also have to extend Otto's notion of entropy solutions to conservation laws with a source term. To obtain uniqueness, we show that a generalization, the so-called entropy process solution, is unique and coincides with the entropy solution. If the initial and boundary data are essentially bounded, we can establish convergence to the entropy solution. Showing that the numerical solutions are bounded we can extract a weak*-convergent subsequence. Identifying its limit as an entropy process solution requires some effort as we cannot use Kruzkov-type entropy pairs here. We restrict ourselves to the Engquist-Osher flux and identify the numerical entropy flux for an arbitrary entropy pair. By the uniqueness result, the scheme then approximates the entropy solution and a result by Vovelle then guarantees that the convergence is strong in L^p for finite p.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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