STACK DocumentationDocumentation home | Category index | Site map
Setting linear algebra questions in STACK
Linear algebra, next to calculus, is one of the pillars of modern mathematics and an important application in STACK is testing linear algebra questions.
Often there will be many equivalent answers, especially when asking for students to find the basis for a subspace, etc.
This document provides some tips and hints for writing STACK questions.
Please see also the file on matrix manipulations.
The paper Setting linear algebra problems by John Steele (2003) is very useful.
Lines and planes
Problem: the student has been asked to represent a subspace in parametric form; we want to decide if these spaces are equivalent.
Converting from parametric form to vector form
Let us start with an answer such as
ta:transpose(matrix([s+2*t,3+t,w])); ta:expand(ta); lv:listofvars(ta); /* Sanity check: make sure the student's answer is linear in its parameters. */ deg:apply(max, maplist(lambda([ex], hipow(ta, ex)), lv));
The first thing is to note Maxima's
cm:coefmatrix(flatten(args(ta)), lv); am:augcoefmatrix(flatten(args(ta)), lv);
We will turn this into vector form explicitly as follows.
/* Remove any constant vectors (setting all parameters to zero). */ cv:ev(ta, maplist(lambda([ex], ex=0), lv), simp); /* Calculate the direction vectors. */ dvs:maplist(lambda([ex], col(cm,ex)), makelist(k,k,1,length(lv))); /* Create vector form. */ simp:false; vf:apply("+", zip_with("*", lv, dvs))+cv;
Note, this last line assumes
simp:false (otherwise we simplify back to the original
ta!), and uses STACK's
zip_with function which is not a core part of Maxima.
Now we have the direction vectors we can answer a number of questions.
Turn the direction vectors into a single matrix.
simp:true; cm:transpose(apply(matrix, maplist(lambda([ex], first(transpose(ex))), dvs))); /* Takes us back to ta.... */ cm.transpose(matrix(lv))+cv;
ta pass through the origin? This amounts to solving
But, solve can throw errors when we have dependent equations (as we might well do...).
Solving systems of linear equations
Using solve can throw errors, so use
linsolve instead. For example.
/* Decide if a vector is in W */ point_in_space(W, wx):= linsolve(flatten(args(W))-first(args(transpose(wx))), listofvars(W));
If the above is the empty list, there is no solution. Otherwise a solution is returned.
/* Calculate the canonical form of a column space of a system. */ cspace(ex):= block([M], M: coefmatrix(flatten(args(ex)), listofvars(ex)), ev(transpose(rref(transpose(M))), simp) );
Documentation home | Category index | Site map