What is the proof that the divergence is normal to the surface?

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SUMMARY

The discussion clarifies the misconception that divergence is normal to a surface defined by the equation f(x, y, z, ...) = C. Instead, the normal direction is determined by the gradient (∇f) of the function. The proof provided demonstrates that the gradient is orthogonal to the displacement vector (Δr) between two points on the surface, confirming that ∇f is indeed normal to the surface. Rigorous proof may involve ε-δ analysis, but the fundamental concept relies on the chain rule and properties of gradients.

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  • Understanding of vector calculus concepts, specifically gradients and divergence.
  • Familiarity with the chain rule in multivariable calculus.
  • Basic knowledge of surface equations in three-dimensional space.
  • Experience with ε-δ proofs in calculus for rigorous analysis.
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  • Learn about ε-δ definitions and their applications in proving limits and continuity.
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  • Investigate the implications of the normal vector in physics, particularly in fluid dynamics and surface theory.
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swampwiz
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If I am given a function

f( x , y , z , ...) = C

then the normal direction to it is simply the (unit vector of the) divergence of the function. How has this been proven?
 
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It can't be proven because it is not true. Divergence is a number.

Did you mean gradient ?
 
Here's a handwavy proof that can be made rigorous:

Take two nearby points ##A## and ##B## on the surface ##f(x,y,z,...) = C##, let ##\Delta \vec{r}## be the displacement from ##A## to ##B##. Then the change in ##f## will be approximately given by ##f(B) - f(A) = \nabla f \cdot \Delta \vec{r}##. Since ##f## is constant on the surface, ##f(B) - f(A) = 0##. So we have:

##\nabla f \cdot \Delta \vec{r} = 0##

which implies that ##\nabla f## is orthogonal to ##\Delta \vec{r}##.
 
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stevendaryl said:
Here's a handwavy proof that can be made rigorous:

Take two nearby points ##A## and ##B## on the surface ##f(x,y,z,...) = C##, let ##\Delta \vec{r}## be the displacement from ##A## to ##B##. Then the change in ##f## will be approximately given by ##f(B) - f(A) = \nabla f \cdot \Delta \vec{r}##. Since ##f## is constant on the surface, ##f(B) - f(A) = 0##. So we have:

##\nabla f \cdot \Delta \vec{r} = 0##

which implies that ##\nabla f## is orthogonal to ##\Delta \vec{r}##.

Equivalently, if c(t) is a curve on the surface ##f(x,y,z,...)=C## then ##f(c(t) = C## so ##df/dt = 0##. By the Chain rule ##0=df/dt = ∇f⋅dc/dt##. Since ##dc/dt## is tangent to the surface for all such curves ##c(t)##, ##∇f## is normal to the surface.
 
Last edited:
BvU said:
It can't be proven because it is not true. Divergence is a number.

Did you mean gradient ?

Yes, I meant gradient.
 
stevendaryl said:
Here's a handwavy proof that can be made rigorous:

Take two nearby points ##A## and ##B## on the surface ##f(x,y,z,...) = C##, let ##\Delta \vec{r}## be the displacement from ##A## to ##B##. Then the change in ##f## will be approximately given by ##f(B) - f(A) = \nabla f \cdot \Delta \vec{r}##. Since ##f## is constant on the surface, ##f(B) - f(A) = 0##. So we have:

##\nabla f \cdot \Delta \vec{r} = 0##

which implies that ##\nabla f## is orthogonal to ##\Delta \vec{r}##.

This works for me. I presume that making this rigorous requires some tedious δ-ε analysis.
 
swampwiz said:
This works for me. I presume that making this rigorous requires some tedious δ-ε analysis.
Why? All you need is in #4. It is just the chain rule, which I assume you have already done your epsilon delta construction for.
 

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