Combining coordinate transformations

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SUMMARY

The discussion focuses on combining coordinate transformations in 3D space using matrix multiplication. The user transforms a vector (<1, 0, 0>) through multiple coordinate systems (M1, M2, M3, M4) by applying sequential rotations (omega, phi, kappa) about the x', y', and z' axes. To simplify the process, the user seeks to combine these transformations into a single transformation matrix (M) by multiplying the individual matrices (M1-M4) together, leveraging the associative property of matrix multiplication.

PREREQUISITES
  • Understanding of 3D coordinate systems
  • Knowledge of rotation matrices and their applications
  • Familiarity with matrix multiplication
  • Basic concepts of linear algebra
NEXT STEPS
  • Study the derivation of rotation matrices for 3D transformations
  • Learn about the properties of matrix multiplication and its applications in transformations
  • Explore the use of homogeneous coordinates in 3D graphics
  • Investigate software tools like MATLAB or Python's NumPy for matrix operations
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Mathematicians, computer graphics developers, and engineers involved in 3D modeling and simulation who need to understand and implement coordinate transformations efficiently.

joeljkp
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I have a vector (<1, 0, 0>) that needs to be transformed from an initial 3d rectangular coordinate system M1 through M2 and M3 to a final 3d rectangular system M4.

I'm currently doing this by applying sequential rotations omega, phi, and kappa about the x', y', and z' axes, respectively, for each individual transform, and at the end, the result is the final transformed vector. This is done through a 3x3 transformation matrix for each of M1-M4.

I want to be able to combine these coordinate system rotations, though, so instead of applying M1-M4, I'm simply applying one matrix M.

How is this done?
 
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Multiply your matrices M1-M4 together, and you get M.
This is valid, since the matrix product is associative.
 

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