# how the metric tensor in polar coordinates is used to compute the circumference of a circle

The metric tensor, $$g\_{a b}$$, defines how distances are measured in any coordinate system, especially non-Cartesian ones. A metric tensor with non-zero off-diagonal elements, as seen in the skewed grid example, signifies non-orthogonal axes, while a diagonal matrix with non-unity elements, like the $$g\_{\phi \phi}=\rho^2$$ term in polar coordinates, reveals how coordinate components change in length with position. The inverse metric tensor, $$g^{a b}$$, is essential for calculations in such systems, underscoring that Cartesian coordinates are a simplified, special case where the metric tensor is just the identity matrix.

{% embed url="<https://youtu.be/72yW6qX70Nk>" %}

{% embed url="<https://viadean.notion.site/The-Metric-Tensor-Covariant-Derivatives-and-Tensor-Densities-2611ae7b9a3280ecb310ceb883314f4b?source=copy_link>" %}
