Effacer les filtres
Effacer les filtres

Polynomial to Matrix form(canonical form)

9 vues (au cours des 30 derniers jours)
Sudhish Subramaniam
Sudhish Subramaniam le 16 Fév 2019
Commenté : Walter Roberson le 23 Août 2021
How to convert the given quadratic form(Q = x1^2 + 2x1x2+x2^2) into its canonical form in matlab.
  5 commentaires
Sai Teja Sunkari
Sai Teja Sunkari le 19 Août 2020
what about 3x3 matrix
Walter Roberson
Walter Roberson le 19 Août 2020
https://www.mathworks.com/matlabcentral/answers/445266-polynomial-to-matrix-form-canonical-form#answer_470380

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Réponses (3)

lalith keerthan
lalith keerthan le 24 Juil 2020
syms x1 x2 x3 y1 y2 y3 a b c p
Q=input('Enter the form in x1 x2 x3')
a11=(1/2)*diff(diff(Q,x1),x1)
a22=(1/2)*diff(diff(Q,x2),x2)
a33=(1/2)*diff(diff(Q,x3),x3)
a12=(1/2)*diff(diff(Q,x1),x2)
a21=a12
a13=(1/2)*diff(diff(Q,x1),x3)
a13=a31
a23=(1/2)*diff(diff(Q,x2),x3)
a23=a23
A=[a11,a12,a13;a21,a22,a23;a31,a32,a33]
[N D]=eig(A)
X=[x1,x2,x3]
Y=[y1,y2,y3]
disp(D(1,1)*y1^2+D(2,2)*y2^2+D(3,3)*y3^2)
[m,n]=size(A);
for i=1:n
N(:,i)=[N(1,i)/sqrt(N(1,i)^2+N(2,i)^2+N(3,i)^2) N(2,i)/sqrt(N(1,i)^2+N(2,i)^2+N(3,i)^2) N(3,i)/sqrt(N(1,i)^2+N(2,i)^2+N(3,i)^2)]
end
display('no repeated eigen value and the orthogonal transformation is X=NY')
X==(N*Y)
  2 commentaires
Walter Roberson
Walter Roberson le 24 Juil 2020
Is that a question or a solution to the poster's question ?
John D'Errico
John D'Errico le 24 Juil 2020
Modifié(e) : John D'Errico le 24 Juil 2020
I think it was an attempt at an answer/ At least it started out as one, sort of. But things got lost along the way, following a convoluted, confused path at the end.

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John D'Errico
John D'Errico le 24 Juil 2020
Modifié(e) : John D'Errico le 24 Juil 2020
I assume the question is to resolve a quadratic polynomial, perhaps:
Q = x1^2 + 2*x1*x2 + x2^2
into a quadratic form. That is, given Q, you want to recover the matrix H, such that
Q = [x1,x2]*H*[x1;x2]
This is quite easy using the symbolic toolbox. The desired matrix H is 1/2 times the Hessian matrix of Q.
For example, given the quadratic Q...
syms x1 x2
Q = x1^2 + 2*x1*x2 + x2^2
Q =
x1^2 + 2*x1*x2 + x2^2
X = [x1,x2];
H = hessian(Q)/2
H =
[ 1, 1]
[ 1, 1]
H is the desired matrix. We can see Q is recovered:
expand(X*H*X.')
ans =
x1^2 + 2*x1*x2 + x2^2
This is just an educated guess on my part as to the answer. Since there has been no response from the OP since it as first posted, we can only guess.
  2 commentaires
Gaurav Malik
Gaurav Malik le 23 Août 2021
Yeah but what do you do when you also have linear terms in your function? We need also the c'X term.
Walter Roberson
Walter Roberson le 23 Août 2021
In such a case are you working with a quadratic form ? Are you, as John indicates, trying to recover the H in Q = [x1,x2]*H*[x1;x2] ?

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Walter Roberson
Walter Roberson le 16 Fév 2019
syms x1 x2
QQ = x1^2 +2*x1*x2+x2^2
factor(QQ)

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