Is the Jacobian Equal to the Quotient of Scale Factors?

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In summary, the conversation discusses a "shortcut" formula for computing the jacobian, which is the partial derivative of a set of coordinates in one system with respect to another system. The formula involves scale factors and the question is raised whether the jacobian can be represented as the quotient of these scale factors. However, it is noted that this is not a true or false statement, but rather a definition.
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Jhenrique
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In somewhere in wikipedia, I found a "shortcut" for compute the jacobian, the formula is: [tex]\frac{\partial(q_1 , q_2 , q_3)}{\partial (x, y, z)} = h_1 h_2 h_3[/tex] where q represents the coordinate of other system and h its factor of scale.

I know that this relationship is true. What I'd like of know is if this equation below is true: [tex]\frac{\partial(q_1 , q_2 , q_3)}{\partial (Q_1, Q_2, Q_3)} = \frac{h_1 h_2 h_3}{H_1 H_2 H_3}[/tex] where Q represents the coordinate of another system and H its factor of scale.

Is correct to affirm that the jacobian is equal to the quotient between the scale factors?
 
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What you did is to invent a definition of [tex]\frac{\partial(q_1 , q_2 , q_3)}{\partial (Q_1, Q_2, Q_3)} .[/tex] It is not true nor false: it is a definition.
 

FAQ: Is the Jacobian Equal to the Quotient of Scale Factors?

What is a Jacobian?

A Jacobian is a mathematical concept that represents the rate of change of one set of variables with respect to another set of variables in a system. It is often used in vector calculus and multivariate calculus.

How is Jacobian related to shortcuts?

A "shortcut to Jacobian" refers to a method or technique that allows for a more efficient or simplified calculation of the Jacobian in a given system. This can save time and effort in mathematical calculations.

What are some common uses for Jacobian?

Jacobian can be used in a variety of fields including physics, engineering, and economics. It is often used to solve optimization problems, study the dynamics of systems, and analyze the behavior of complex functions.

Are there any limitations to using Jacobian?

Like any mathematical concept, Jacobian has its limitations. It may not be applicable in systems with discontinuous or non-differentiable functions, and the Jacobian matrix can become computationally expensive for large systems.

How can one learn more about shortcuts to Jacobian?

There are various online resources and textbooks available that discuss shortcuts to Jacobian, along with examples and applications. It is also helpful to have a strong understanding of vector calculus and multivariate calculus before attempting to learn shortcuts to Jacobian.

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