Uncovering the Derivative of a Tensor: Understanding its Equations and Origins

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    Derivative Tensor
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SUMMARY

The discussion focuses on the derivation of tensor equations, specifically addressing the application of the chain rule and product rule in tensor calculus. Participants clarify the transformation properties of vector components and the cancellation of derivatives, emphasizing the role of the Kronecker delta in simplifying expressions. The second equal sign in the equations is confirmed correct, highlighting the importance of understanding operator behavior in derivatives. Key insights include the necessity of recognizing the uniqueness of vector component dependence for accurate tensor transformations.

PREREQUISITES
  • Understanding of tensor calculus
  • Familiarity with the chain rule and product rule in calculus
  • Knowledge of vector transformation properties
  • Basic concepts of Kronecker delta in mathematical expressions
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  • Study the application of the chain rule in tensor calculus
  • Explore the product rule as it applies to derivatives of tensor components
  • Learn about the properties and applications of the Kronecker delta
  • Investigate operator behavior in the context of differential equations
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Mathematicians, physicists, and engineers involved in advanced studies of tensor calculus and those seeking to deepen their understanding of vector transformations and derivative operations.

mk9898
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How/why does the first equal sign hold? Where does each derivative come from:
Bildschirmfoto 2019-04-05 um 18.35.06.png
 
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Its just the chain rule and the transformation properties of the vector components.
 
Ahh they just switched the two chain rule derivatives. Got it. Thank you. Another question: is the second equal sign correct? Why does the first term only have one derivative?
 
The second equal sign is correct. Apply the product rule. The first term arises from the derivative acting on the vector component and the derivatives outside cancelling (another instance of the chain rule).
 
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I'm not seeing how they cancel since they are operators.

Here is what I see:

##\frac{\partial \tilde x^k}{\partial x^i}\frac{\partial^2 x^i}{\partial \tilde x^k \partial \tilde x^l}##But since they are operators, I don't see how the two can cancel each other out and the fact it's the derivative squared so we cannot move one of derivatives to the right and let them somehow cancel out like so:

##\frac{\partial \tilde x^k}{\partial x^i}\frac{\partial x^i \partial}{\partial \tilde x^k \partial \tilde x^l}##

Is it due to the uniqueness of the dependence of the vector components that they are the inverse of one another?
 
mk9898 said:
I'm not seeing how they cancel since they are operators.
That is the second term, not the first term...
 
Ah got it. Yea it's just then the Kronecker delta and the k's become l's. Got it thanks!
 
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