Why can the Jacobian represent transformations?

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SUMMARY

The discussion centers on the representation of transformations using the Jacobian matrix in the context of mechanics and linear transformations. The expression ##x'_i=A_{ij}x_j##, where ##A_{ij}=\frac{\partial x'_i}{\partial x_j}##, is established as a valid representation due to the linear approximation of functions near a point. The conversation highlights the importance of understanding linear transformations and their application in physics, particularly in relation to concepts like the metric tensor and covariance.

PREREQUISITES
  • Understanding of linear transformations in mathematics.
  • Familiarity with the Jacobian matrix and its properties.
  • Basic knowledge of calculus, particularly partial derivatives.
  • Introduction to concepts in mechanics, including the metric tensor and covariance.
NEXT STEPS
  • Study the properties and applications of the Jacobian matrix in various transformations.
  • Learn about linear approximations and their significance in calculus.
  • Explore the concept of the metric tensor in differential geometry.
  • Investigate covariance and its role in physics and mathematics.
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Students and professionals in physics, mathematics, and engineering who are seeking to deepen their understanding of transformations, linear algebra, and their applications in mechanics.

Coffee_
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Why is it so that I can write:

##x'_i=A_{ij}x_j## where ##A_{ij}=\frac{\partial x'_i}{\partial x_j}##?

Yes if the first expression is assumed it is clear to me why the coefficients have to be the partial derivatives, but why can we assume that we can always write it in a linear fashion in the first place? I assume this is something similar to any function being linearly apporximated close enough to a point but I'd like to hear it to be sure.
 
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Coffee_ said:
I assume this is something similar to any function being linearly apporximated close enough to a point but I'd like to hear it to be sure.

When you ask questions like this it would be good to have some context. In many cases, you will be dealing with linear transformations only.
 
Orodruin said:
When you ask questions like this it would be good to have some context. In many cases, you will be dealing with linear transformations only.

This is supposed to be a general 'math for physics' chapter in my mechanics course. We seem to have not made any type of restrictions on what kind of transformations we make or at least, I don't remember the prof mentioning it. This is an introduction to concepts like the metric tensor,covariance and such. I was just a bit confused why formally we could assume that a general transformation could be expressed as ##\vec{x'}=A\vec{x}## where ##A## is a matrix with the partial derivatives. Once we assume that, obviously I see why A is supposed to be filled with partial derivatives, but the assumption in the first place isn't clear.
 

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