Linear Algebra - Transformations

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SUMMARY

This discussion focuses on linear transformations in geometry, specifically the projection of three-dimensional space onto a line. It establishes that the process of transforming a line in 3D can be treated similarly to that in 2D, utilizing a transformation matrix. The conversation highlights the utility of the inner product for simplifying transformation matrices and emphasizes that projections onto a plane can be achieved by combining projections along two basis vectors. A recommended textbook for self-study is "Linear Algebra" by David C. Lay.

PREREQUISITES
  • Understanding of linear transformations and matrices
  • Familiarity with inner products and dot products in R^3
  • Knowledge of vector spaces and subspaces
  • Basic concepts of geometric projections
NEXT STEPS
  • Study the properties of transformation matrices in linear algebra
  • Learn about projections in vector spaces and their applications
  • Explore the concepts of basis vectors and their role in projections
  • Read "Linear Algebra" by David C. Lay for comprehensive self-study
USEFUL FOR

Students and educators in mathematics, particularly those focusing on linear algebra, geometry, and anyone seeking to deepen their understanding of linear transformations and projections.

merlinMan
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We are doing linear transformations in geometry. We have a projection in three dimensional space onto a line. Do we basically treat this as the same as a two dimensional projection?

Also, anyone know of a really good linear algebra textbook that you could basically teach yourself from?

I'm stuck with a gradstudent who quite frankly is more concerned with his Phd process than putting effort into his teaching.

Thanks a lot!
 
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So you have a line in 3d space, which is just a 3x1 matrix.

when you want to transform this line you act on it with a transformation matrix, just the same as you would for a 2d line.

I think that a really good linear algebra book is LInear Algebra - David C. Lay
 
Any projection onto a subspace W of some vector space V can be treated the same.
But for projection on a line, the transformation matrix can be written in a more simple form, using the inner product (or dot product in R^3).

Also, for projection on plane, you can project along any two basis vectors in the plane and add the corresponding projections to get the answer.
So it basically becomes two line projections.
 

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