Linear Algebra - Transformations

AI Thread Summary
Linear transformations in geometry can be applied similarly in both two-dimensional and three-dimensional spaces, treating projections onto lines in 3D as analogous to those in 2D. A line in 3D can be represented as a 3x1 matrix, and transformations are executed using a transformation matrix. Projections onto a subspace can be simplified using the inner product, particularly for lines. For projections onto a plane, the process involves projecting along two basis vectors and summing the results. A recommended textbook for self-study in linear algebra is "Linear Algebra" by David C. Lay.
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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 alot!
 
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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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