Choosing Parameterizations - Multivariable Calculus
- A curve in 3D space is defined as the intersection of the surfaces and . To parameterize this curve efficiently for computing a line integral, which single-parameter approach is most appropriate? Answer: Use the constraint to write , substitute into to get , then parameterize this circle Substituting into gives . Rearranging: . Completing the square: . This is a circle with center and radius , parameterized as , , . Choice A incorrectly assumes the projection is a circle of radius 2. Choice B introduces an unnecessary second parameter. Choice D has an artificial and complicated relationship between parameters that doesn't simplify the problem.
- The surface is defined by for . For evaluating where depends significantly on the distance from the z-axis, which parameterization strategy provides the most computational advantage? Answer: Cylindrical: with , Since depends significantly on the distance from the z-axis (which is ), cylindrical coordinates are most appropriate. The surface becomes , so the parameterization is with (since means , so ) and . This makes the dependence on distance from the z-axis explicit through the parameter . Choice A uses Cartesian coordinates which obscures the radial structure. Choice B incorrectly writes without simplifying to . Choice D introduces an unnecessarily complex substitution that doesn't simplify the problem.
- A space curve is defined implicitly as the intersection of and . For parameterizing this curve to compute its arc length, which single-parameter approach avoids issues with undefined derivatives at specific points? Answer: Use as the parameter, then and , choosing signs to maintain continuity The intersection of and gives us , so . This means the curve consists of two components: one where and one where . Both lie on circles of radius 3. Using as parameter gives and , so and . To avoid derivative issues, we choose signs consistently for each component. Choice B only captures one component (). Choice C introduces absolute value functions that create derivative discontinuities at . Choice D also only captures one component and has the same limitation as Choice B.
- Consider the surface defined implicitly by for . You need to parameterize the portion of this surface where . Which approach provides the most efficient parameterization that avoids singularities? Answer: Use cylindrical coordinates: with , This is a hyperboloid of one sheet. The constraint naturally suggests cylindrical coordinates where , so . From the surface equation , we get (taking positive root since ). This parameterization is well-defined and smooth throughout the domain. Choice B incorrectly uses in place of and has wrong bounds. Choice C uses hyperbolic functions which are unnecessarily complex for this region and the bounds are incorrect. Choice D is problematic because it doesn't clearly specify the domain and can lead to computational difficulties when integrating.
- You need to parameterize the part of the paraboloid that lies between the cylinders and , but only in the region where . Which parameterization correctly captures this region and is suitable for surface integration? Answer: with and or The condition means when and when . In polar coordinates, this corresponds to two angular regions: the first quadrant and parts of the second and fourth quadrants where . For , we have . For , we have . By symmetry, we also need to capture the region where and . Choice A misses the third quadrant portion. Choice B uses incorrect union notation that suggests simultaneous constraints rather than separate intervals. Choice C uses Cartesian parameterization which is less natural for the annular region and makes integration more complex.
- Consider parameterizing the surface over the region where and . For computing the flux of the vector field through this surface, which parameterization choice will result in the normal vector pointing generally upward (positive z-component)? Answer: with , , computed as For a surface parameterized as , the normal vector is . For , we have and . Thus , which has a positive z-component. Choice A uses the correct region but the cross product may not consistently point upward. Choice C computes instead of , which reverses the orientation and gives a downward normal. Choice D parameterizes the wrong half of the disk ( instead of ).
- Consider the curve formed by the intersection of the ellipsoid and the plane . To parameterize this curve for computing work done by a conservative vector field, which approach most efficiently handles the constraint while maintaining parameter bounds that are easy to determine? Answer: Parameterize the plane as and substitute into the ellipsoid equation to find the constraint relating and , then use this constraint to eliminate one parameter Method C is most systematic. Parameterizing the plane as and substituting into the ellipsoid gives . Expanding: , which simplifies to . This can be written in the form of an ellipse and parameterized trigonometrically. Choice A leads to a complicated quartic relationship that's difficult to solve explicitly. Choice B introduces two parameters unnecessarily and requires finding a complex relationship between them. Choice D assumes a specific radial form that may not match the actual intersection curve and could lead to being multi-valued as a function of .