On Friday 05 August 2011 20:22:21 BGB wrote:
> On 8/5/2011 11:56 AM, Wesley Smith wrote:
> >> vectors are nice though.
> >> for example, in the book I had, some aspects of the topic were expressed
> >> in terms of a mess of trigonometry which wouldn't really work correctly
> >> in 3D. some of these topics were fairly simple/elegant-looking if
> >> expressed with vectors.
> >> 
> >> so, linear systems and vectors, probably could do fairly well I think.
> >> 
> >> more so, linear systems and vectors would give students a model that
> >> they could more easily use with or test on a computer.
> > 
> > The problem with vectors is that they are closed only under
> > subtraction, addition, and scalar multiplication.  As soon as you take
> > the product of two vectors, you get a completely different
> > object/type, namely quaternions in the 3D case and rotors in the
> > general case.  Vector algebra's widespread use is an artifact of the
> > vector v. quaternion debate from the 19th century.  It's not the most
> > versatile tool and hides lots of structure and symmetries.  Similar to
> > the "gotos considered harmful" mantra, I would add "vector algebra
> > considered harmful".
> 
> typically, vector multiplication is treated as either dot-product or
> cross-product (with cross-product only existing in certain numbers of
> dimensions, such as 3 and 7, and "sort of" in 2).
> 
> for 2D and 3D, vector math works fine.
> 
> and in 3D, vector math is much nicer than 3D trigonometry.
> 
> 
> quaternions also exist, and can be useful, but for many practical tasks
> (such as performing rotations) share an ongoing battle with matrix-math,
> and in some cases with angle-based systems.
> 
> may as well include quaternions as well though, since as I see it there
> is no fundamental conflict between them and vectors.

The irony, like many "competing theories", being that they're really just the 
same thing, when looked at in the appropriate way ;)
http://blog.sigfpe.com/2006/08/geometric-algebra-for-free_30.html

Cheers,
Chris

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