Post new topic Reply to topic  [ 1 post ] 
Author Message
 Post subject: Solving singular matrix quadratic form using Groebner basis
PostPosted: Fri Mar 01, 2019 6:46 pm 

Joined: Fri Mar 01, 2019 6:25 pm
Posts: 1
(Previous Post modified)
As an economist who is not familiar with math and singular, I've been struggling to find a general way of solving the following type of problems. I really hope that someone can help me out.

Def: A_ij, B_j are n by n real-valued matrices - may well be singular.
Question: Solve for all solutions for (X1,X2) to the following system of multivariate matrix quadratic form using Groebner basis.

===========================
A_11*X1^2 + A12*X2*X1 - X1 + B1 = 0;
A_21*X1*X2 + A22*X2^2 -X2 + B2 = 0;
===========================

Ideally, I want to have a matlab code for this problem, only to fail. I used the built-in vpasolve.m. It didn't work.
So can anyone write a sample code for this in Singular and show how to run the code?

Solving this problem is so important to my research.
Thank you


Report this post
Top
 Profile  
Reply with quote  
Display posts from previous:  Sort by  
Post new topic Reply to topic  [ 1 post ] 

You can post new topics in this forum
You can reply to topics in this forum
You cannot edit your posts in this forum
You cannot delete your posts in this forum
You cannot post attachments in this forum

It is currently Fri May 13, 2022 10:54 am
cron
Powered by phpBB © 2000, 2002, 2005, 2007 phpBB Group