Volume of a sphere under a linear transformation R3->R4.

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SUMMARY

The discussion centers on calculating the 3-dimensional volume of a unit sphere transformed by a linear transformation T: ℝ3 → ℝ4, represented by a standard matrix A. The determinants of the transformation for the basis vectors are given as det(A e1) = 5, det(A e2) = 4, det(A e3) = 5, and det(A e4) = 5. The volume of the transformed sphere is derived using the formula for volume based on determinants, specifically det(ATA), leading to the conclusion that the volume is 4/3 * π * (scaling factor derived from the determinants).

PREREQUISITES
  • Understanding of linear transformations in vector spaces
  • Familiarity with determinants of matrices
  • Knowledge of volume calculations for geometric shapes
  • Experience with matrix operations and properties
NEXT STEPS
  • Study the properties of determinants in linear transformations
  • Learn about the relationship between determinants and volume scaling
  • Explore the concept of matrix multiplication and its effect on volume
  • Investigate the generalization of volume transformations in higher dimensions
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Mathematics students, particularly those studying linear algebra, geometry, and anyone involved in transformations in higher-dimensional spaces.

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Homework Statement


So there's a linear transformation T: ℝ3 → ℝ4, standard matrix A that satisfies

det(A e1) = 5, det (A e2) = 4, det (A e3) = 5 and det (A e4) = 5

If S is the unit sphere, find the 3-dimensional volume of T(S).

Homework Equations


Volume of sphere = 4/3 * pi * r^3
Volume based on determinants = det(ATA)


The Attempt at a Solution


I know the determinant of a matrix can be seen as the scaling factor for the volume change of a transformation. So the answer will be 4/3 * pi * (something). The (something) will probably be some kind of combination of the determinants above (5,4,5,5), but I have no clue how to find its value. I have spent hours on this question, it's driving me crazy. Help!
 
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Thinking about the ℝ1 → ℝ2 suggests a root-sum-squares relationship. Can't see how to generalise it yet.
 
Have now proved the following for both ℝ1 → ℝ2 and ℝ2 → ℝ3, but still don't see how to prove it in general.
Denoting the square matrices formed by appending the basis vectors as Ai, det(ATA) = Ʃ(det(Ai))2.
 

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