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Apr 22nd, 2018
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  1. Consider a standard coordinate system C in three dimensions. Let a linear transformation R be any rotation or reflection.
  2. Let R be applied to the orthonormal basis vectors that define the axis directions of C. Let R be applied to any points in
  3. C, say P₀ and P₁.
  4.  
  5. R: C → C'
  6. R: P₀, P₁ → P'₀, P'₁
  7.  
  8. A new coordinate system C' results whose axis directions are the transformed axis directions of C under the transformation
  9. R. Observe that the points P'₀, P'₁ will have the same coordinates in C' as they had in C since the transformed points did
  10. not move relative to the transformed basis vectors.
  11.  
  12. To distinguish between coinciding points in different coordinate systems let P'₀, P'₁ in C be designated Q₀, Q₁ in C'. Also
  13. let P₀, P₁ in C be designated Q'₀, Q'₁ in C'.
  14.  
  15. Suppose we wish to discover the coordinates of the points P₀, P₁ in C', that is we wish to find Q'₀, Q'₁.
  16.  
  17. Let R⁻¹ be the inverse of the transformation R. We note that R⁻¹ transforms P'₀, P'₁ to P₀, P₁ and therefore transforms
  18. Q₀, Q₁ to Q'₀, Q'₁. Since Q₀, Q₁ have the same coordinates in C' as P₀, P₁ in C, to find Q'₀, Q'₁ we simply need to
  19. apply R⁻¹ to P₀, P₁. Let P and Q' represent the same point but in C and C' respectively, then
  20.  
  21. R⁻¹: P → Q' (Trivially, we can also say R: Q' → P)
  22.  
  23. The columns of the matrix R are the basis vectors of C' in C
  24.  
  25. let R = |a d g| then |1| |1| |a|, |0| |0| |d|, |0| |0| |g|
  26. |b e h| |0|→ R|0|=|b| |1|→ R|1|=|e| |0|→ R|0|=|h|
  27. |c f i| |0| |0| |c| |0| |0| |f| |1| |1| |i|
  28.  
  29. A matrix whose columns constitute an orthonormal basis is an orthogonal matrix. The inverse of an orthogonal matrix is its
  30. transpose. That is
  31.  
  32. R⁻¹ = Rᵀ , and so
  33.  
  34. Rᵀ: P → Q'
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