Inner product calculation using discretised Chebyshev points and a energy matrix
6 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
I am trying to generate a matrix A which looks at the first K eigenvalues/eigenvectors in a eigenvalue problem.
The solution vector is q = [u,v,w,rho,T]. (Think 'fluid dynamics'.)
A is defined as the inner product of the k^th eigenvector with the the l^th eigenvector.
Matrix M is an energy 'weight' matrix specific to my problem. My problem is discretised using Chebyshev gridpoints, therefore i have included an integral 'weight' to each of the values in M as per the Chebyshev integral weightings.
Here is a brief look at the maths that I'm trying to implement.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1671331/image.png)
where, ![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1671336/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1671336/image.png)
Here's my code (using arbitrary rho, Tt, w and qtildeu) - is this implementation of the integral in for the A matrix elements defined in the photo above correct in my code?
Mach = 0.01;
gamma = 1.4;
K = 12; % number of eigenvectors that are included
N = 100; % number of gridpoints
Z = zeros(N);
rho = ones(N,1); % arbitrary rho
Tt = rho.*1.234; % arbitrary Tt
w = ones(N,1); % chebyshev weights set as one for sake of MATLAB online question
Q1 = diag(rho.*w);
Q2 = diag(rho.*w);
Q3 = diag(rho.*w);
Q4 = diag(Tt./(rho.*gamma.*Mach.^2).*w);
Q5 = diag(rho./(gamma.*(gamma-1).*Tt.*Mach^2).*w);
Q = [Q1 Z Z Z Z;
Z Q2 Z Z Z;
Z Z Q3 Z Z;
Z Z Z Q4 Z;
Z Z Z Z Q5]; % MATRIX M from question
qtildeu = 0.5.*ones(5*N,K); % random eigenvectors
% obtaining weight matrix A
for k = 1:K
for l = k:K
A(k,l) = qtildeu(:,k)'*Q*qtildeu(:,l);
A(l,k) = A(k,l); % symmetric matrix
end
end
1 comentario
Respuestas (1)
Gautam
el 20 de Mayo de 2024
Hello, Isabelle
I understand that you want to generate the matrix “A”, which is obtained by
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1698981/image.png)
The attached piece of code implements the matrix product “
” but doesn’t compute the integral. It is also unclear as to what the variable “y” is with respect to which the integral is being performed
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1698986/image.png)
If it is known how the eigen vectors “
” and “
”, and the weight matrix “M” are represented in terms of “y”, one way to compute the integral would be to define the vectors and matrix “
”, “
” and “M” as symbolic arrays and matrix in “y”, compute the product as
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1698991/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1698996/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1699001/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1699006/image.png)
f(y) = ![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1699011/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1699011/image.png)
and integrate with respect to “y” under the specified limits using the “int” function to obtain the elements of the matrix A
A(k,l) = int(f, y, 0, inf);
You can refer to the following MathWorks documentation for more information on the “int” function
Int function: https://www.mathworks.com/help/symbolic/sym.int.html
0 comentarios
Ver también
Categorías
Más información sobre Polynomials en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!