Finding Area Vectors for Paraboloid Surfaces

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SUMMARY

The discussion focuses on determining area vectors for paraboloid surfaces, specifically the paraboloid defined by the equation z = x² + y². The area vector is derived from the gradient of the function F(x,y,z) = z - x² - y², resulting in the vector differential of area as (-2xi - 2yj + k)dxdy. It is clarified that the area vector cannot be a unit vector, as its length contains essential information about the area. The conversation also emphasizes the importance of reducing the surface to the xy-plane for integration purposes.

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  • Understanding of vector calculus, specifically gradients and vector fields.
  • Familiarity with the concept of differential area in multivariable calculus.
  • Knowledge of surface parameterization and vector equations.
  • Ability to perform cross products and dot products of vectors.
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  • Study the derivation of the gradient for multivariable functions using examples like F(x,y,z) = z - x² - y².
  • Learn about the vector differential of area and its applications in flux integrals.
  • Explore parameterization of surfaces and how to compute area vectors using the fundamental vector product.
  • Investigate the integration of vector fields over surfaces using the divergence theorem.
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Homework Statement


I am wondering what the set of area vectors for a surface would be. For a plane on the xy-plane, I know the set of area vectors is <0,0,dx*dy>.


Homework Equations


So, for a set of points (x,y,z) that make a paraboloid, if F(x,y,z)=0 then [grad(F)•<dy*dz, dx*dz, dx*dy>]/mag(grad(F)) would be the set of area vectors?
(i'm not sure if I'm correct in assuming the area vector needs to be a unit vector)
grad(F) is the gradient of F
mag(grad(F)) is the magnitude of the gradient field of F

The Attempt at a Solution


So for paraboloid x^2+y^2+z=0, the area vectors would be <(2x/sqrt(4x^2+4y^2+1))*dydz, (2y/sqrt(4x^2+4y^2+1))*dxdz, (1/sqrt(4x^2+4y^2+1))*dxdy>
yea, I am very confused. I would like to know this for integrating electric vector fields for flux.
 
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First, there is no such thing as an "area vector" (except for planes). You are talking about the "vector differential of area". Second, it can't be a unit vector- all the information about the area is contained in its length.
One thing you haven't said is how you are reducing this to two dimensions.
If you are given the surface as a function z= f(x,y), then it would make sense to reduce to the xy-plane. Write the function as F(x,y)= z- F(x,y)= 0 and find the gradient: here Fxi- Fyj+ k. That, times dxdy is the "vector differential of area"- its length is the "scalar differential of area" and it is perpendicular to the surface at each point.

In the paraboloid case, z= x2+ y2, F(x,y)= z- x2- y2 and the gradient is -2xi- 2yj+ k. The "vector differential of area" is (-2xi- 2yj+ k)dxdy and the "scalar differential of area" is its length, [itex]\sqrt{4x^2+ 4y^2+ 1}dxdy[/itex].

If the surface is given in a more general form, F(x,y,z)= constant, then, again, take the gradient of F but now divide by the k component in order to integrate in the xy-plane, by the j component in order to integrate in the xz-plane, or by the i component in order to integrate in the yz-plane.

A more general method is to find the "fundamental vector product". Suppose you are given the surface as a vector equation depending on two parameters, u, and v: r(u,v)= x(u,v)i+ y(u,v)j+ z(u,v)k. (In z= F(x,y), you could use x and y themselves as parameters- x= u, y= v, z= F(u,v)). r(u,v)= ui+ vj+ F(u,v)k. Differentiate with respect to u getting on vector in the tangent plane and wth respect to v to get another vector in the plane. Their dot product is perpendicular to the plane, multiplied by dudv, is the "vector differential of area".

Again for the paraboloid, z= x2+ y[/sup], we could take x and y as parameters and write r(x,y)= xi+ yj+ (x2+ y[/sup]2[/sup] as its vector equation. Differentiating with respect to x gives rx[/sup]= i+ 2xk and with respect to y gives ry= j+ 2yk. The cross product of those two vectors is -2xi- 2yj+ k just as before.
 
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