What is a partial derivative and how is it used in Schrodinger's equation?

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SUMMARY

A partial derivative is defined as the derivative of a function with respect to one variable while keeping all other variables constant. In the context of Schrödinger's equation, it plays a crucial role in understanding how quantum states change with respect to different spatial coordinates. For example, given the function f(x,y,z) = 2x² + 3yz + xz², the partial derivative with respect to x is ∂f/∂x = 4x + z². This concept is essential for analyzing the behavior of quantum systems in physics.

PREREQUISITES
  • Understanding of basic calculus, specifically derivatives.
  • Familiarity with multivariable functions.
  • Basic knowledge of quantum mechanics principles.
  • Experience with mathematical software like Wolfram Alpha for visualizing functions.
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  • Study the application of partial derivatives in quantum mechanics, particularly in Schrödinger's equation.
  • Learn about multivariable calculus, focusing on gradient and Hessian matrices.
  • Explore mathematical software tools such as Wolfram Alpha for function visualization.
  • Investigate the physical interpretations of partial derivatives in various scientific contexts.
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This discussion is beneficial for students of physics, particularly those interested in quantum mechanics, as well as educators and anyone seeking to deepen their understanding of calculus and its applications in science.

Arjun Wasan
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I am a 7th grader who is interested in Quantum mechanics and I'm learning schroninger's equation and there is a partial derivative in it and I looked it up but the best I could find was that it was a function of variables of the variables derivatives, but that didn't make much sense. Can someone please explain to me what a partial derivative is (I know what a derivative is already).
 
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A partial derivative is a derivative with respect to only one coordinate while all others are treated as constants.
E.g. for ##f(x,y,z) = 2x^2 +3yz + xz^2## we get ##\frac{\partial f}{\partial x} = 4x +z^2##.

Edit: And good luck! You can also look up basic terms on Wikipedia. It is something in between the short answer I gave you and the very long version of what could be said. Perhaps it's worth mentioning, that partial derivatives measure the slope along a coordinate direction, ##x## in the example above. You can always play a little with those functions on Wolfram. If you only use ##x## and ##y## as variables of a function they have nice plots.
 
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