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arXiv 2107.04815gr-qc
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五维Schwarzschild-Tangherlini黑洞的精确拟正规模

Accurate Quasinormal Modes of the Five-Dimensional Schwarzschild-Tangherlini Black Holes

Jerzy Matyjasek

摘要:

利用Hill行列式法、连分式法和WKB Padé法构造了5维Schwarzschild-Tangherlini黑洞准正规模的精确频率(精确到小数点后11位),并讨论了每种方法的局限性.结果表明,对于本文所考虑的无质量标量、引力张量、引力矢量和电磁矢量微扰,Hill行列式方法和连分式方法(都具有收敛加速)总是给出完全相同的结果,而WKB-Padé方法给出的结果在大多数情况下是惊人的精确.值得注意的例外是引力矢量摄动($j =2$和$\ell = 2 $),WKB-Padé方法显然对它们不起作用。在这里,我们有一个有趣的情况下,基于WKB的方法(WKB-Padé和WKB-Borel-Le Roy)给出的复频率不同于在连分式方法和Hill行列式方法的框架内获得的结果。对于基模,频率的实部与精确值的偏差为$0.5\%$,而虚部的偏差为$2.7\%.$。对于$\ell \geq 3$,WKB结果的精度再次与其他扰动获得的精度相似。简要讨论了引力标量摄动的情况。

英文摘要:

The objective of this paper is to construct the accurate (say, to 11 decimal places) frequencies of the quasinormal modes of the 5-dimensional Schwarzschild-Tangherlini black hole using three major techniques: the Hill determinant method, the continued fractions method and the WKB-Padé method and to discuss the limitations of each. It is shown that for the massless scalar, gravitational tensor, gravitational vector and electromagnetic vector perturbations considered in this paper, the Hill determinant method and the method of continued fractions (both with the convergence acceleration) always give identical results, whereas the WKB-Padé method gives the results that are amazingly accurate in most cases. Notable exception are the gravitational vector perturbations ($j =2$ and $\ell = 2 $), for which the WKB-Padé approach apparently does not work. Here we have interesting situation in which the WKB-based methods (WKB-Padé and WKB-Borel-Le Roy) give the complex frequency that differs from the from the result obtained within the framework of the continued fraction method and the Hill determinant method. For the fundamental mode, deviation of the real part of frequency from the exact value is $0.5\%$ whereas the deviation of the imaginary part is $2.7\%.$ For $\ell \geq 3$ the accuracy of the WKB results is similar again to the accuracy obtained for other perturbations. The case of the gravitational scalar perturbations is briefly discussed.

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