In the previous tutorial, we explored the metric tensor and basis. In this tutorial, we will delve into the concept of tensors and their properties related to coordinate transformations. A tensor is a multidimensional array that obeys certain transformation rules under coordinate transformations. A vector is an example of a tensor, specifically one with rank 1. One of the key properties of a vector is that it possesses both magnitude and direction. The significance of direction lies in the fact that a vector can be transformed under a coordinate transformation. Let's consider the basis vectors denoted by $g_i$, which can be expressed as $g_i = \frac{\partial \vec{r}}{\partial x^i}$. We also have another basis, denoted by $g'_i=\frac{\partial \vec{r}}{\partial x'^i}$. By applying the chain rule, we can establish the following relationship between the two bases: $\frac{\partial \vec{r}}{\partial x^j} = \frac{\partial \vec{r}}{\partial x'^k} \frac{\partial x'k}{\pa...
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