Vector and Tensor Algebra

R. Sulanke
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Abstract

This notebook and the package tensalgv2.m contain besides of elementary vector algebra a complete tensor algebra as a part of affine geometry. In Mathematica there doesn’t exist a built-in Tensor definition, but some tensor operations, like e.g. TensorProduct are built-in. In the notebook I define a symbolic tensor object which admits to introduce covariant, contravariant and mixed type tensors. The concept can be used for symbolic calculations as well as for calculations with tensors whose coordinates are numerically or functionally specified. Tensor products, the wedge product as the base of exterior algebra, and contraction of tensors are introduced. Their properties are deduced and compared with the corresponding Mathematica built-in tensor functions. Since also in the commercial packages of Harald H. Soleng, Tensors in Physics, and Steven M. Christensen, MathTensor, an abstract tensor concept, as far as I know, is missing I hope that the notebook and the package presented here deliver useful tools for applications of Mathematica to problems in algebra, geometry and physics needing tensor calculus. The analytic part of tensor calculus is treated in connection with pseudo-Riemannian Geometry in the notebook RG.nb.
向量和张量代数
这个笔记本和包是tensalgv2。M除了包含初等向量代数外,还包含作为仿射几何一部分的完全张量代数。在Mathematica中没有一个内置的张量定义,但是一些张量操作,比如TensorProduct是内置的。在本子中,我定义了一个允许引入协变、逆变和混合型张量的符号张量对象。这个概念既可以用于符号计算,也可以用于坐标为数值或函数指定的张量计算。介绍了张量积、作为外代数基的楔积和张量的收缩。推导了它们的性质,并与相应的Mathematica内置张量函数进行了比较。因为在Harald H. Soleng的商业软件包中,物理中的张量,和Steven M. Christensen的MathTensor,一个抽象的张量概念,据我所知,是缺失的,我希望在这里展示的笔记本和软件包为数学应用程序提供有用的工具,以解决需要张量微积分的代数,几何和物理问题。在笔记本RG.nb中结合伪黎曼几何处理了张量微积分的解析部分。
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