Borrar filtros
Borrar filtros

Polynomial to Matrix form(canonical form)

9 visualizaciones (últimos 30 días)
Sudhish Subramaniam
Sudhish Subramaniam el 16 de Feb. de 2019
Comentada: Walter Roberson el 23 de Ag. de 2021
How to convert the given quadratic form(Q = x1^2 + 2x1x2+x2^2) into its canonical form in matlab.
  5 comentarios
Sai Teja Sunkari
Sai Teja Sunkari el 19 de Ag. de 2020
what about 3x3 matrix
Walter Roberson
Walter Roberson el 19 de Ag. de 2020
https://www.mathworks.com/matlabcentral/answers/445266-polynomial-to-matrix-form-canonical-form#answer_470380

Iniciar sesión para comentar.

Respuestas (3)

lalith keerthan
lalith keerthan el 24 de Jul. de 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 comentarios
Walter Roberson
Walter Roberson el 24 de Jul. de 2020
Is that a question or a solution to the poster's question ?
John D'Errico
John D'Errico el 24 de Jul. de 2020
Editada: John D'Errico el 24 de Jul. de 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.

Iniciar sesión para comentar.


John D'Errico
John D'Errico el 24 de Jul. de 2020
Editada: John D'Errico el 24 de Jul. de 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 comentarios
Gaurav Malik
Gaurav Malik el 23 de Ag. de 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 el 23 de Ag. de 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] ?

Iniciar sesión para comentar.


Walter Roberson
Walter Roberson el 16 de Feb. de 2019
syms x1 x2
QQ = x1^2 +2*x1*x2+x2^2
factor(QQ)

Etiquetas

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by