Checking if a function is an equipotential surface

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SUMMARY

The discussion centers on the theorem used to determine if a surface defined by the function f(x,y,z) = λ is an equipotential surface. The condition for this is given by the equation $$\frac{\nabla^{2}\;f}{|\vec{\nabla\;f}|^{2}} = \phi(\lambda)$$. It is established that this theorem is applicable in any orthogonal coordinate system, including spherical coordinates, as the results are derived using vector notation. The participants clarify that for f(x,y,z) to be an equipotential surface, the gradients must be parallel, leading to the conclusion that α is constant on surfaces of constant f.

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  • Understanding of vector calculus, specifically gradient and Laplacian operators.
  • Familiarity with equipotential surfaces in physics.
  • Knowledge of orthogonal coordinate systems, including spherical coordinates.
  • Basic comprehension of scalar fields and their properties.
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  • Study the properties of equipotential surfaces in electrostatics.
  • Learn about the application of the Laplacian operator in different coordinate systems.
  • Explore the implications of gradient fields in physics and engineering.
  • Investigate the relationship between scalar fields and their gradients in vector calculus.
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Students and professionals in physics, mathematics, and engineering who are interested in vector calculus, equipotential surfaces, and their applications in various coordinate systems.

patric44
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Homework Statement
checking if a function is could form an equipotential surface
Relevant Equations
laplacian(f)/ |grad(f)|^2 = constant
hi guys
I came across that theorem that could be used to check if a surface represented by the function f(x,y,z) = λ could represent an equipotential surface or not, and it states that if this condition holds:
$$\frac{\nabla^{2}\;f}{|\vec{\nabla\;f}|^{2}} = \phi(\lambda)$$
then f(x,y,z) could represent an equipotential surface, my question here is this theorem applicaple also in spherical cordinates as its or it should be modifed? also can some one explain the intuition behind it
 
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f(x,y,z) = \lambda will be an equipotential surface if \nabla f is everywhere parallel to \nabla V. Thus <br /> \nabla f = \alpha(\mathbf{x})\nabla V where \alpha \neq 0. Then <br /> \begin{split}<br /> \nabla^2f &amp;= \alpha\nabla^2 V + \nabla \alpha \cdot \nabla V<br /> &amp;= \frac{\nabla \alpha}{\alpha} \cdot \nabla f<br /> \end{split} assuming \nabla^2 V = 0. You can then get <br /> \nabla^2 f = \frac 1{\alpha(\lambda)} \frac{d\alpha}{d\lambda} \|\nabla f\|^2 = \phi(\lambda)\|\nabla f\|^2 if you assume that \alpha depends on \mathbf{x} only in the combination f(\mathbf{x}) but I don't see why that assumption is required.

As the result is obtained using vector notation, it is valid in any orthogonal coordinate system.
 
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pasmith said:
f(x,y,z) = \lambda will be an equipotential surface if \nabla f is everywhere parallel to \nabla V. Thus <br /> \nabla f = \alpha(\mathbf{x})\nabla V where \alpha \neq 0. Then <br /> \begin{split}<br /> \nabla^2f &amp;= \alpha\nabla^2 V + \nabla \alpha \cdot \nabla V<br /> &amp;= \frac{\nabla \alpha}{\alpha} \cdot \nabla f<br /> \end{split} assuming \nabla^2 V = 0. You can then get <br /> \nabla^2 f = \frac 1{\alpha(\lambda)} \frac{d\alpha}{d\lambda} \|\nabla f\|^2 = \phi(\lambda)\|\nabla f\|^2 if you assume that \alpha depends on \mathbf{x} only in the combination f(\mathbf{x}) but I don't see why that assumption is required.

As the result is obtained using vector notation, it is valid in any orthogonal coordinate system.
thanks its clear now, but can you explain the last step
<br /> \nabla^2 f = \frac 1{\alpha(\lambda)} \frac{d\alpha}{d\lambda} \|\nabla f\|^2 = \phi(\lambda)\|\nabla f\|^2
 
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pasmith said:
f(x,y,z) = \lambda will be an equipotential surface if \nabla f is everywhere parallel to \nabla V. Thus <br /> \nabla f = \alpha(\mathbf{x})\nabla V where \alpha \neq 0. Then <br /> \begin{split}<br /> \nabla^2f &amp;= \alpha\nabla^2 V + \nabla \alpha \cdot \nabla V<br /> &amp;= \frac{\nabla \alpha}{\alpha} \cdot \nabla f<br /> \end{split} assuming \nabla^2 V = 0. You can then get <br /> \nabla^2 f = \frac 1{\alpha(\lambda)} \frac{d\alpha}{d\lambda} \|\nabla f\|^2 = \phi(\lambda)\|\nabla f\|^2 if you assume that \alpha depends on \mathbf{x} only in the combination f(\mathbf{x}) but I don't see why that assumption is required.

Taking the curl of the first equation gives <br /> 0 = \nabla \alpha \times \nabla V = \alpha(\nabla \alpha \times \nabla f) so \nabla \alpha and \nabla f are parallel. Thus \alpha is constant on surfaces of constant f, so indeed \alpha = \alpha(\lambda).
 
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