Basically, I'm having student look for the x that makes the matrix singular, or the columns linearly dependent, or ... However Sage behaves like so:
sage: A=matrix([[0,1,1],[2,2,-2],[-1,x,3]]) sage: A [ 0 1 1] [ 2 2 -2] [-1 x 3] sage: A.echelon_form() [1 0 0] [0 1 0] [0 0 1] Is there anyway to make it so Sage doesn't assume that it can rescale by dividing by whatever function of x we get in the bottom row (in this case 1-x), because that might be 0? Doing the row reduction 'by hand', ie making Sage do it, works, but it would be nice if echelon form did it. Thanks, Matt --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-support@googlegroups.com To unsubscribe from this group, send email to sage-support-unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-support URL: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
