Why Does the Negative Sign Appear in the Vector Potential Equation?

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SUMMARY

The discussion focuses on the derivation of the vector potential equation and the origin of the negative sign in the expression. The participants clarify that the negative sign arises from the gradient operations with respect to different variables, specifically transitioning from \(\nabla_{\vec y}\) to \(\nabla_{\vec x}\). The vector identity \(\vec{\nabla}\times(\psi~\vec A)= \psi \vec{\nabla}\times\vec A+\vec{\nabla}\psi\times \vec A\) is essential for understanding how to manipulate the terms in the equation. The participants emphasize the importance of correctly applying the product rule and the implications of vector calculus in this context.

PREREQUISITES
  • Understanding of vector calculus, particularly gradient and curl operations.
  • Familiarity with the vector potential in electromagnetism.
  • Knowledge of the vector identity \(\vec{\nabla}\times(\psi~\vec A)\).
  • Basic concepts of integrals in multiple dimensions.
NEXT STEPS
  • Study the derivation of the vector potential in electromagnetic theory.
  • Learn about the implications of the vector identity \(\vec{\nabla}\times(\psi~\vec A)\) in different contexts.
  • Explore the properties of gradients and their applications in physics.
  • Investigate the role of integrals in vector calculus, particularly in electromagnetism.
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Physicists, electrical engineers, and students studying electromagnetism who seek a deeper understanding of vector potentials and their mathematical derivations.

deuteron
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We have motivated the derivation of the vector potential in the following way:
1706619806217.png

However, I cannot understand where the ##-## sign in the second equality came from. I thought that it was because the gradient was with respect to the ##y##-variable, and then using the product rule one could explain the transition to the last expression, but in that case ##\nabla_{\vec y}\times\vec j(\vec y)## would have to be zero, which I am not really sure is necessarily true; and in that case I would again not understand how a ##\nabla_{\vec y}## would become a ##\nabla_{\vec x}##, since at ##\nabla\times \vec A(\vec x)## I assume ##\nabla## must be acting on the ##\vec x##
That's why I don't see how the left and right hand sides of the third, fourth, and possibly the fifts ##=## signs are equal to each other, can someone please help me?
 
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You know that
##\nabla_x \dfrac{1}{|x-y|}=-\dfrac{x-y}{|x-y|^3}=-\nabla_y \dfrac{1}{|x-y|}##
It follows that
##\dfrac{x-y}{|x-y|^3}=+\nabla_y \dfrac{1}{|x-y|}=-\nabla_x \dfrac{1}{|x-y|}.##

So the second equality is $$=-\frac{1}{c}\int \int \int j(y)\times\nabla_x \dfrac{1}{|x-y|}d^3y$$Does this help?
 
but in that case how do we take ##\nabla_{\vec x}## out of the integral? It wasn't cross multiplied with ##\frac 1 {|\vec x-\vec y|}##, but now it is?
 
The vector identity says
##\vec{\nabla}\times(\psi~\vec A)= \psi \vec{\nabla}\times\vec A+\vec{\nabla}\psi\times \vec A. ##
Here you identify
##\vec{\nabla}\rightarrow \vec{\nabla}_x##
##\psi \rightarrow \dfrac{1}{|x-y|}##
##\vec A \rightarrow \vec j (y)##

What do you get when you put these in the identity?
 

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