Can the Jacobian of an Inverse Transformation Prove to be 1?

In summary, the Jacobian of inverse transform is a matrix of partial derivatives used to calculate the change in variables when converting between coordinate systems. It is important in various fields, such as physics and engineering, and is calculated by taking the partial derivatives of the original variables with respect to the new variables. The determinant of the Jacobian is equal to the ratio of the volumes of the two coordinate systems, making it useful for calculating volume changes during transformations. In real-world applications, the Jacobian is often used in physics, engineering, and computer graphics to solve problems involving coordinate system transformations.
  • #1
jakey
51
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Hi guys, let's say I have a transformation [tex]T[/tex] from [tex](p,q)[/tex] to [tex](u,v)[/tex]. The inverse transformation would be [tex]T^{-1}[/tex] from [tex](u,v)[/tex] to [tex](p,q)[/tex]

Now, [tex]J(T) = u_{p}v_{q} - u_{q}v_{p}[/tex]. On the other hand, [tex]J(T^{-1})= p_{u}q_v - p_{v}q_{u}[/tex]. But [tex]|J(T)J(T^{-1})| = 0[/tex] and not equal to 1. I know it's supposed to be 1 but how do you show it using this way?

thanks!
 
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  • #2
Oh by the way, [tex]J[/tex] here refers to the jacobian.
 

FAQ: Can the Jacobian of an Inverse Transformation Prove to be 1?

What is the Jacobian of inverse transform?

The Jacobian of inverse transform is a mathematical concept that represents the rate of change of a set of variables when transforming from one coordinate system to another. It is a matrix of partial derivatives that helps to calculate the change in variables when performing an inverse transformation.

Why is the Jacobian of inverse transform important?

The Jacobian of inverse transform is important because it allows us to convert between different coordinate systems and understand how the variables are related to each other. It is particularly useful in physics, engineering, and other scientific fields where transformations between coordinate systems are common.

How is the Jacobian of inverse transform calculated?

The Jacobian of inverse transform is calculated by taking the partial derivative of each variable in the original coordinate system with respect to each variable in the new coordinate system. These derivatives are then arranged in a matrix, with the rows representing the derivatives of the new variables and the columns representing the derivatives of the original variables.

What is the relationship between the Jacobian of inverse transform and the determinant?

The determinant of the Jacobian of inverse transform is equal to the ratio of the volumes of the two coordinate systems that are being transformed between. This means that the Jacobian can be used to calculate the change in volume when performing a transformation between coordinate systems.

How is the Jacobian of inverse transform used in real-world applications?

The Jacobian of inverse transform has many practical applications, such as in physics, engineering, and computer graphics. It is used to solve problems involving transformations between coordinate systems, such as calculating forces and velocities in different reference frames, or mapping textures onto 3D objects.

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