A couple of weeks ago, a bunch of us decided to put our internet time to better use and (re-)learn linear algebra together (http://news.ycombinator.com/item?id=2993321). Most have the book by now, so... let's do this! If you missed that thread and want to join, please do so. There's nothing you have to do other than learn.
The book is "Linear Algebra And Its Applications" by Strang, 4th ed., ISBN 0030105676. We'll work through one chapter every two weeks. There are a lot of exercises. Let's discuss ones that are interesting, nontrivial or both. Questions and insights about the material are welcome. The first 5 chapters have Review Exercises at the end. Let's call those "mandatory" and discuss them at the end of the two weeks.
Housekeeping:
1. We'll do this on HN unless it becomes intractable or the landlord asks us to leave.
2. Put "Study HN: Linear Algebra 1" in the subject line. Then we can find posts like this: http://www.hnsearch.com/search#request/all&q=%22linear+algebra+1%22
3. If you want to be emailed when something relevant happens, email me at the address in my HN profile and I'll put you on the list.
Finally, not all of us have the above book. Some are using an earlier edition or a different text altogether. Others have the 4th edition, but in a cheaper Indian format that is sold as identical, but - warning! - is not. Presumably to thwart students from getting away with using the cheaper edition for courses, the publisher has tastelessly scrambled the order of the exercises. How, then, are we going refer to exercises? Let's experiment to see what works. In the meantime:
4. To avoid confusion, only reference exercises by number (e.g. "Ex. 10 of 1.2") when they are from the official book (the 4th edition, expensive non-Indian format). If you don't have that text, and want to play along, email me and we'll figure something out.
So, HN: what's interesting in the early sections of Chapter 1? I have a few things, but let's hear from others. How about we stick to 1.1, 1.2, and 1.3 at first - up to Gaussian elimination, but not yet matrices.