Vector calculus finding the surface normal

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The discussion focuses on understanding the calculation of the components of vectors u and v in vector calculus, specifically from the book "div, grad, cur and all that." The u vector is identified as a tangent vector, with its calculation influenced by the surface's steepness or flatness. Vectors u and v are orthogonal, and their cross product yields the normal vector. The calculation involves converting x and z components into terms of orthonormal vectors corresponding to the unit vectors of the x, y, and z axes. Visualizing the relationship between these components and their respective units is crucial for grasping the concept.
frixis
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okay i was reading the book "div, grad cur and all that"
i've just started for my exam. but i got stuck in the beginning. I'm attaching the page because i really don't get it .
basically pages 14 and 15. i don't get how they calculate the components of u and v.
if someone explains u i'll get v obviously.
thanks
 

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frixis said:
okay i was reading the book "div, grad cur and all that"
i've just started for my exam. but i got stuck in the beginning. I'm attaching the page because i really don't get it .
basically pages 14 and 15. i don't get how they calculate the components of u and v.
if someone explains u i'll get v obviously.
thanks

U is calculated as a tangent vector. Consider how the rate of change impacts the tangent vector. Think about how a steep surface or how a flat surface would impact the definition of u. Its probably best if visualize a normal one dimensional function and the normal tangent vector to that function.

If you relate u vector to the function tangent in the x direction and v vector to that in the y direction you have two vectors that are orthogonal to each other and represent the best information to calculate a normal since the normal is u x v.

On a steep surface we would have a normal that would have a smaller z component than if the surface were flat on the x,y plane.

In terms of calculation they are converting the x and z components which is df/dx * ux or whatever it says in the book by writing it in terms of its components which are in terms of the orthonormal vectors i j and k which correspond to the unit vectors of the x y and z axis respectively. Just reflect on what units everything is in by looking at the diagram and see how the units for x and z correspond to units or i and k respectively.
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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