...
首页> 外文期刊>Fractional Calculus and Applied Analysis >New relationships connecting a class of fractal objects and fractional integrals in space
【24h】

New relationships connecting a class of fractal objects and fractional integrals in space

机译:连接一类分形对象和空间中的分数积分的新关系

获取原文
           

摘要

Many specialists working in the field of the fractional calculus and its applications simply replace the integer differentiation and integration operators by their non-integer generalizations and do not give any serious justifications for this replacement. What kind of “Physics” lies in this mathematical replacement? Is it possible to justify this replacement or not for the given type of fractal and find the proper physical meaning? These or other similar questions are not discussed properly in the current papers related to this subject. In this paper new approach that relates to the procedure of the averaging of smooth functions on a fractal set with fractional integrals is suggested. This approach contains the previous one as a partial case and gives new solutions when the microscopic function entering into the structural-factor does not have finite value at N ? 1 (N is number of self-similar objects). The approach was tested on the spatial Cantor set having M bars with different symmetry. There are cases when the averaging procedure leads to the power-law exponent that does not coincide with the fractal dimension of the self-similar object averaged. These new results will help researches to understand more clearly the meaning of the fractional integral. The limits of applicability of this approach and class of fractal are specified.
机译:在分数微积分及其应用领域工作的许多专家都只是用其非整数归纳法来代替整数微分和积分算子,并且没有给出任何严肃的理由来进行这种替代。这种数学上的替代是什么“物理”?是否有可能为给定的分形类型证明这种替换是否正确,并找到适当的物理意义?这些或其他类似问题在当前与此主题相关的论文中未进行适当讨论。在本文中,提出了一种新的方法,该方法涉及对具有分数积分的分形集上的光滑函数求平均的过程。当进入结构因子的微观函数在N≥N处没有有限值时,这种方法包含了前一种方法,并给出了新的解决方案。 1(N是自相似对象的数量)。在具有不同对称性的M条的空间Cantor集上测试了该方法。在某些情况下,平均过程导致幂律指数与平均的自相似对象的分形维数不一致。这些新结果将有助于研究更清楚地理解分数积分的含义。规定了这种方法的适用范围和分形类别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号