⇤ ← Revision 1 as of 2010-12-15 12:50:11
Size: 685
Comment:
|
Size: 608
Comment:
|
Deletions are marked like this. | Additions are marked like this. |
Line 28: | Line 28: |
* <Your Name>, <Profession>, <Organization> * <Your Name>, <Profession>, <Organization> |
* First_sprint |
Book
Advanced Engineering Mathematics
Author
Erwin Kreyszig
Edition
8th Edition
A = Matrix([[3,0,2,2],[-6,42,24,54],[21,-21,0,-15]]) print A A = Matrix([[3,0,2,2],[-6,42,24,54],[21,-21,0,-15]]) cols=A.columns() print cols mult1=cols[0].cross_product(cols[1]) print mult1 mult1!=(0,0,0) print "Rank is at least 2" mult2=cols[1].cross_product(cols[2]) print mult2 mult2*(-3/2) mult2*(-3/2)==mult1 These 3 vectors r linearly dependent Therefore rank is 2
Solution by:
- First_sprint