Differential Geometry Theorem on Surfaces

In summary: In this case, we can take a small neighborhood V_2 \subset V_1 around p and the function \psi will be invertible on this neighborhood. Now, we can use this inverse function to map a neighborhood of p in the xy-plane (specifically, the set W_3 = \psi(p) + (-\epsilon, \epsilon)^2 \times 0) back to a neighborhood of p in V_2. This is what is meant by the notation \left(\psi_{V_2}\right)^{-1}\left|_{W_3}\rightarrow V_2 - we are taking the inverse of \psi on the neighborhood W_3 and mapping it back to V
  • #1
Sistine
21
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Homework Statement



I am having difficulty understanding the proof of the following theorem from Differential Geometry

Theorem

[tex]S\subset \mathbb{R}^3[/tex] and assume [tex]\forall p\in S \exists p\in V\subset\mathbb{R}^3[/tex] [tex]V[/tex] open such that

[tex] f:V\rightarrow\mathbb{R}^3[/tex] is [tex]C^1[/tex]

[tex] V\cap S=f^{-1}(0)[/tex]

[tex]\forall\in V\cap S,\quad \nabla_x f\neq 0[/tex]

[tex]\Rightarrow f[/tex] is a surface


Homework Equations





The Attempt at a Solution



The proof that I’m trying to understand goes as follows

Write out [tex] \nabla_p f[/tex] in coordinates, since [tex]\nabla_p f[/tex] is non-zero at least one of the components of the gradient is non-zero. W.L.O.G take it to be the z coord

[tex] \frac{\partial f}{\partial x_3}(p)\neq 0[/tex] so that

[tex]p\in \left\{ q | \frac{\partial f}{\partial x_3}(q)\neq 0\}\subset V[/tex]

[tex]V[/tex] open

We then Construct a function

[tex]\psi :V_1\rightarrow \mathbb{R}^3[/tex]

[tex]\psi(x_1,x_2,x_3)=(x_1,x_2,f(x_1,x_2,x_3))[/tex]

Calculating the Jacobian [tex]d_p\psi[/tex] we find that its determinant is non-zero, so that we can apply the Inverse function theorem to [tex]\psi[/tex] but I don’t understand the rest of the proof below

[tex]\exists p\in V_2\subset V_1,\quad \psi |_{V_2}\rightarrow W_2[/tex]

Choose [tex]\epsilon[/tex] so that [tex]\psi(p)+(-\epsilon,\epsilon)^3=W_3\subset W_2[/tex]

What might this mean here?

[tex]\left(\psi_{V_2}\right)^{-1}\left|_{W_3}\rightarrow V_2[/tex]

Then we construct another map

[tex] W_3\cap\left(\mathbb{R}^2\times 0\right)\rightarrow S[/tex]

[tex] W_3\cap(\mathbb{R}^2\times 0)=\psi(p) +(-\epsilon,\epsilon)^2\times 0[/tex]

Construct another map
[tex] \phi : (-\epsilon, \epsilon)^2\rightarrow S[/tex]

[tex] (u,v)\rightarrow \phi (\psi(p)+(u,v,0))[/tex]
is a parameterization around p

I can’t seem to understand what is going on here, maybe there is another way to prove the theorem. I have an intuitive proof using Taylor’s theorem and showing that f is like a plane locally but its not a rigorous proof
 
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  • #2
.

Dear student,

I can understand your confusion with this proof. It may seem complicated and unclear at first, but I will try to break it down for you step by step.

Firstly, let's recall the statement of the theorem: we are given a subset S of R^3 and a function f that is continuously differentiable on an open set V containing S. We are also given that for every point p in S, there exists an open set V_p containing p such that f^{-1}(0) \cap V_p = {p} and the gradient of f at any point in V_p is non-zero. The theorem then states that f is a surface.

The first step in the proof is to write out the gradient of f in coordinates. The gradient is a vector, so in R^3 it can be written as \nabla f = (\frac{\partial f}{\partial x_1}, \frac{\partial f}{\partial x_2}, \frac{\partial f}{\partial x_3})^T, where T denotes the transpose. Since the gradient is non-zero at any point in V_p, at least one of its components must be non-zero. Without loss of generality, we can take this to be the z component, i.e. \frac{\partial f}{\partial x_3}(p) \neq 0. This means that at the point p, the function f is changing in the z direction, which is what we want for a surface.

Next, we construct a function \psi: V_1 \rightarrow R^3, where V_1 is an open set containing p, such that \psi(x_1, x_2, x_3) = (x_1, x_2, f(x_1, x_2, x_3)). Essentially, we are just "ignoring" the z component of f and just looking at the x and y components, which will give us a function that maps points in V_1 to the xy-plane. This function is continuously differentiable, and we can calculate its Jacobian matrix at the point p. The determinant of this matrix is non-zero, which means that the inverse function theorem can be applied to \psi.

The inverse function theorem states that if a function is continuously differentiable and its Jacobian is invertible at a point, then there exists a neighborhood around that point where
 

What is Differential Geometry Theorem on Surfaces?

Differential geometry theorem on surfaces is a mathematical concept that deals with the study of surfaces and their properties using differential calculus. It involves the use of techniques such as tangents, normals, and curvature to analyze the shape and behavior of surfaces.

What are the main applications of Differential Geometry Theorem on Surfaces?

Differential geometry theorem on surfaces has various applications in fields such as physics, engineering, and computer graphics. It is used to model and analyze the behavior of physical surfaces, such as the earth's surface, and to create realistic 3D images in computer graphics.

What are the key components of the Differential Geometry Theorem on Surfaces?

The key components of the Differential Geometry Theorem on Surfaces include the first and second fundamental forms, Gaussian and mean curvature, and the Gauss-Bonnet theorem. These components are used to calculate various properties of surfaces and determine their shape and behavior.

How does Differential Geometry Theorem on Surfaces differ from Euclidean Geometry?

Differential geometry theorem on surfaces differs from Euclidean geometry in that it deals with curved surfaces instead of flat ones. It takes into account the curvature of surfaces and uses techniques such as differential calculus to analyze their properties, whereas Euclidean geometry only deals with flat, two-dimensional shapes.

What are some real-world examples of the use of Differential Geometry Theorem on Surfaces?

Differential geometry theorem on surfaces has many real-world applications, such as in the design of car bodies, the study of ocean waves, and the construction of bridges and buildings. It is also used in the field of geodesy to measure and map the Earth's surface and to study the behavior of other planets and celestial bodies.

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