Computational Proofs for Tangent Vectors and Differential Geometry of Surfaces

In summary, the conversation is about solving a problem involving a surface M and a vector U. The goal is to prove a certain equation involving the partial derivatives of f and the gradient at (x,y). The person is struggling with the conceptual understanding of the problem and is seeking help with the computational aspect. They have attempted to take the partial derivatives of U with respect to u1 and u2, but are unsure of what to do next.
  • #1
chaotixmonjuish
287
0

Homework Statement



Given the following:
Some surface M: z=f(x,y) where f(0,0)=fx(0,0)=fy(0,0)

and
U =-f1U1-fyU2+U3}/Sqrt[1+fx2+fy2]
and
u1 = U1(0)
u2 = U2(0)
are vectors tangent to M at the origin 0.

We want to prove
S(u1)=fxxu1+fxyu2

My problem here is conceptually wadding through this. I really just need a computational push.
 
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  • #2
Homework Equations f1=partial derivative of f with respect to xfy=partial derivative of f with respect to yfx2+fy2=magnitude of the gradient at (x,y)The Attempt at a SolutionI'm trying to do this by taking the partial derivative of U with respect to u1 and u2. So far I have:dU/du1 = -f1-fy(dx/du1)+(dx/du1)/sqrt[1+fx2+fy2]dU/du2 = -fy-f1(dx/du2)+(dx/du2)/sqrt[1+fx2+fy2]I'm not sure what to do next.
 

FAQ: Computational Proofs for Tangent Vectors and Differential Geometry of Surfaces

What is differential geometry?

Differential geometry is a branch of mathematics that deals with the study of curves and surfaces using techniques from calculus and linear algebra. It examines the properties of geometric objects such as points, lines, and planes, and how they change when subjected to smooth deformations.

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Differential geometry has many applications in physics, engineering, and computer graphics. It is used to study the motion of objects in space, design efficient transportation systems, and create realistic computer-generated images.

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Differential geometry has strong connections to differential equations, topology, and algebraic geometry. It also has applications in other fields such as mechanics, relativity, and optimization.

What are some important concepts in differential geometry?

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Differential geometry can be challenging for those without a strong background in mathematics, as it requires knowledge of advanced topics such as calculus, linear algebra, and topology. However, with dedication and practice, it can be a rewarding and interesting subject to study.

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