Difference between revisions of "4-gradient"
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<center><math>\mathbf x_{\mu} \equiv \eta_{\mu}^{\mu} \mathbf x^{\mu}</math></center> | <center><math>\mathbf x_{\mu} \equiv \eta_{\mu}^{\mu} \mathbf x^{\mu}</math></center> | ||
+ | |||
+ | Using matrix multiplication, we have already defined the covariant term, | ||
+ | <center><math>\mathbf{x_{\mu}}= \begin{bmatrix} | ||
+ | dx_0 & -dx_1 & -dx_2 & -dx_3 | ||
+ | \end{bmatrix}</math></center> | ||
+ | |||
+ | and the contravariant term | ||
+ | |||
+ | <center><math>\mathbf{x^{\mu}}= | ||
+ | \begin{bmatrix} | ||
+ | dx^0 \\ | ||
+ | dx^1 \\ | ||
+ | dx^2 \\ | ||
+ | dx^3 | ||
+ | \end{bmatrix} | ||
+ | </math></center> | ||
+ | |||
+ | |||
+ | Following the rules of matrix multiplication this implies that the derivative with respect to a contravariant coordinate transforms as a covariant 4-vector. | ||
<center><math>\nabla_{\mu}=\partial_{\mu}=\frac{\partial}{\partial x^{\mu}}</math></center> | <center><math>\nabla_{\mu}=\partial_{\mu}=\frac{\partial}{\partial x^{\mu}}</math></center> |
Revision as of 01:04, 10 July 2017
From the use of the Minkowski metric, converting between contravariant and covariant
Using matrix multiplication, we have already defined the covariant term,
and the contravariant term
Following the rules of matrix multiplication this implies that the derivative with respect to a contravariant coordinate transforms as a covariant 4-vector.