Coord. Transf.: V'μ from (dy/dx)*Vν

In summary, the formula V′μ=((∂yμ)/(∂xν))*Vν represents a contravariant vector transformation, where each component y is a function of the corresponding component x. This can be seen in the example of Cartesian and polar coordinates, where the components of one coordinate system can be converted to the other using this formula.
  • #1
TimeRip496
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V′μ=((∂yμ)/(∂xν))*Vν

This is a contravariant vector transformation. (Guys I am really sorry for making the formula above looks so incomprehensible as I still new to this.)

For the y in the partial derivative, is y a function in terms of x? In that sense, is it formula that maps x to y? Is it something like how much units of x correspond to each unit of y?
 
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  • #2
Yes, each ##y^i## is a function of the ##x^i##, and vice versa.

A common and easy example is Cartesian and polar coordinates applied to the two-dimensional Euclidean plane. Using your notation, and with the ##y^i## as the Cartesian coordinates, the ##x^i## as the polar coordinates, and ##i## takes on the values 0 and 1 because this is a two-dimensional space:

##y^0=x^0cos(x^1)##; you're more used to seeing ##x=rcos\theta##
##y^1=x^0sin(x^1)##; you're more used to seeing ##y=rsin\theta##

If you have the components of a vector in polar coordinates ##V^\mu##, the formula you posted will give you the components of the same vector in Cartesian coordinates ##V'^\mu## (using the Einstein summation convention, of course).
 
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  • #3
Nugatory said:
Yes, each ##y^i## is a function of the ##x^i##, and vice versa.

A common and easy example is Cartesian and polar coordinates applied to the two-dimensional Euclidean plane. Using your notation, and with the ##y^i## as the Cartesian coordinates, the ##x^i## as the polar coordinates, and ##i## takes on the values 0 and 1 because this is a two-dimensional space:

##y^0=x^0cos(x^1)##; you're more used to seeing ##x=rcos\theta##
##y^1=x^0sin(x^1)##; you're more used to seeing ##y=rsin\theta##

If you have the components of a vector in polar coordinates ##V^\mu##, the formula you posted will give you the components of the same vector in Cartesian coordinates ##V'^\mu## (using the Einstein summation convention, of course).
Thanks! This really help a lot.
 

FAQ: Coord. Transf.: V'μ from (dy/dx)*Vν

What is Coord. Transf.: V'μ from (dy/dx)*Vν?

Coord. Transf.: V'μ from (dy/dx)*Vν refers to the transformation of a vector Vν from one coordinate system to another, where the transformation is defined by the derivative (dy/dx). This allows for the vector to be represented in a different coordinate system, V'μ, while maintaining the same direction and magnitude.

How is Coord. Transf.: V'μ from (dy/dx)*Vν calculated?

The calculation for Coord. Transf.: V'μ from (dy/dx)*Vν involves multiplying the original vector Vν by the derivative (dy/dx). This produces a new vector V'μ that is transformed into the new coordinate system.

What is the purpose of using Coord. Transf.: V'μ from (dy/dx)*Vν in scientific research?

Coord. Transf.: V'μ from (dy/dx)*Vν is used in scientific research to convert vectors between different coordinate systems. This can be especially useful in fields such as physics and engineering, where different coordinate systems may be used to describe the same physical phenomenon.

Can Coord. Transf.: V'μ from (dy/dx)*Vν be applied to all types of vectors?

Yes, Coord. Transf.: V'μ from (dy/dx)*Vν can be applied to any type of vector, including position vectors, velocity vectors, and force vectors. It is a general transformation that can be used for any vector quantity.

What are some examples of real-world applications of Coord. Transf.: V'μ from (dy/dx)*Vν?

One example of a real-world application of Coord. Transf.: V'μ from (dy/dx)*Vν is in the field of fluid mechanics, where vectors such as velocity and acceleration may need to be transformed between different coordinate systems. Another example is in navigation and geodesy, where vectors representing position and movement may need to be transformed between different geographic coordinate systems.

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