Graduate Finding the unit Normal to a surface using the metric tensor.

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The discussion centers on finding the unit normal vector to a surface defined by the equation φ(x^1, x^2, ..., x^n) = c using the metric tensor. The unit normal is derived from the gradient of φ, expressed as e_n = ∇φ / |∇φ|, which is perpendicular to the tangent plane at a point on the surface. The connection to the metric tensor is clarified through the relationship between the gradient and the metric, where ∇φ is represented in terms of the metric tensor components. The norm squared of the gradient is computed using the metric, leading to an equivalent expression for the unit normal vector. The explanation emphasizes the duality of the gradient and the differential, providing a deeper understanding of the relationship between the normal vector and the metric tensor.
Abhishek11235
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Let $$\phi(x^1,x^2...,x^n) =c$$ be a surface. What is unit Normal to the surface?

I know how to find equation of normal to a surface. It is given by:
$$\hat{e_{n}}=\frac{\nabla\phi}{|\nabla\phi|}$$However the answer is given using metric tensor which I am not able to derive. Here is the answer

$$({g^{\alpha\beta}}{\frac{\partial\phi}{\partial x^{u}}}{\frac{\partial\phi}{\partial x^{v}}})^{-1/2} {g^{r\alpha}}{\frac{\partial\phi}{\partial x^{\alpha}}}$$

How can I Derive this?
 
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The unit normal to the surface has a length of one. It is a vector that is perpendicular to vectors in the tangent plane at that chosen point. The gradient vector at that point is also perpendicular to the tangent plane and so by computing the gradient and dividing the gradient vector by its own length we get the unit normal vector to the surface.

It’s explained in more detail in this video lecture

 
The gradient ##\nabla \phi## is the vector dual to the differential. In coordinates you have ##d\phi=\frac{\partial\phi}{\partial x^\alpha}dx^\alpha##, so for the gradient you get ##\nabla \phi = g^{r\alpha}\frac{\partial\phi}{\partial x^\alpha}\frac{\partial}{\partial x^r}##. The norm squared will be ##g^{uv}\frac{\partial\phi}{\partial x^u}\frac{\partial\phi}{\partial x^v}##. So the two expressions are the same.
 
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martinbn said:
The gradient ##\nabla \phi## is the vector dual to the differential. In coordinates you have ##d\phi=\frac{\partial\phi}{\partial x^\alpha}dx^\alpha##, so for the gradient you get ##\nabla \phi = g^{r\alpha}\frac{\partial\phi}{\partial x^\alpha}\frac{\partial}{\partial x^r}##. The norm squared will be ##g^{uv}\frac{\partial\phi}{\partial x^u}\frac{\partial\phi}{\partial x^v}##. So the two expressions are the same.

Thankyou. But can you elaborate it in more detail. Please. I started Tensors few days ago.
 

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