Undergrad Transformation of vector components

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SUMMARY

The transformation of vector components is governed by the relationship ##v'^\mu = \frac{\partial x'^\mu}{\partial x^\sigma}v^\sigma##. When evaluating this transformation at a specific point ##x'_0##, both approaches, ##v'^\mu(x'_0) = \frac{\partial x'^\mu}{\partial x^\sigma}(x_0)v^\sigma(x_0)## and ##v'^\mu(x'_0) = (\frac{\partial x'^\mu}{\partial x^\sigma}v^\sigma)(x_0)##, yield equivalent results under normal conditions. However, caution is advised if the Jacobian ##\frac{\partial x'^\mu}{\partial x^\nu}## or the vector components ##v^\sigma## exhibit irregular behavior at the point ##x_0##, as this could affect the validity of the transformation.

PREREQUISITES
  • Understanding of vector transformations in physics
  • Familiarity with Jacobian matrices
  • Knowledge of multivariable calculus
  • Basic concepts of coordinate systems
NEXT STEPS
  • Study the properties of Jacobian matrices in vector calculus
  • Explore the implications of vector transformations in general relativity
  • Learn about the behavior of functions under transformation
  • Investigate examples of vector components with irregular behavior
USEFUL FOR

Physicists, mathematicians, and students studying vector calculus and transformations, particularly in the context of general relativity and multivariable calculus.

kent davidge
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The components of a vector ##v## are related in two coordinate systems via ##v'^\mu = \frac{\partial x'^\mu}{\partial x^\sigma}v^\sigma##. When evaluating this at a specific ##x'(x_0) \equiv x'_0##, how should we proceed? ##v'^\mu(x'_0) = \frac{\partial x'^\mu}{\partial x^\sigma}(x_0)v^\sigma(x_0)## or ##v'^\mu(x'_0) = (\frac{\partial x'^\mu}{\partial x^\sigma}v^\sigma)(x_0)##?

That is, should we first work out the sum of the functions and then evaluate the product? Or can we evaluate each separately?
 
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I do not see difference. Do they differ ?
 
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anuttarasammyak said:
I do not see difference. Do they differ ?
Not in general, I think. However you might get into trouble if the Jacobian ##\frac{\partial x'^\mu}{\partial x^\nu}## or the components ##v^\sigma## have some weird behaviour at ##x_0##, but so that yet their combination is a function that is fine there.
 
I interpret the two,
F(x_0)G(x_o)=[F(x)G(x)]_{x=x_0}
The both share weirdness if any.
 
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