Chebyshev Differentiation Matrix

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SUMMARY

The discussion focuses on the application of Chebyshev Polynomials for solving differential equations, specifically the expansion of functions and their derivatives using Chebyshev differentiation matrices. The relation for the coefficients of the derivatives is established, with the differentiation matrix denoted as D. The user successfully solved a computational problem involving the multiplication of Chebyshev expansions and Gaussian integration to compute inner products, particularly in the context of the Laplacian operator.

PREREQUISITES
  • Understanding of Chebyshev Polynomials and their properties
  • Familiarity with differentiation matrices and their applications
  • Knowledge of Gaussian integration techniques
  • Basic concepts of differential equations and their solutions
NEXT STEPS
  • Research the construction and properties of Chebyshev differentiation matrices
  • Learn about Gaussian quadrature methods for numerical integration
  • Explore the application of Chebyshev Polynomials in solving partial differential equations
  • Investigate the use of Chebyshev collocation methods for spectral methods in numerical analysis
USEFUL FOR

Mathematicians, numerical analysts, and engineers working on differential equations, particularly those utilizing Chebyshev Polynomials for computational solutions.

Leonardo Machado
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TL;DR
It is a question about the method to obtain the Chebyshev coefficients for differential operators.
Hi everyone.

I am studying Chebyshev Polynomials to solve some differential equations. I found in the literature that if you have a function being expanded in Chebyshev polynomials such as
$$
u(x)=\sum_n a_n T_n(x),
$$

then you can also expand its derivatives as
$$
\frac{d^q u}{dx^q}=\sum_n a^{(q)}_n T_n(x),
$$

with the following relation
$$
a^{(q)}_{k-1}= \frac{1}{c_{k-1}} ( 2 k a^{(q-1)}_k+ a^{(q)}_{k+1}),
$$

being $c_k=2$ for k=0 and 1 if k>0.

It all together defines the Chebyshev differentiation matrix, which is $D$ in
$$
a^{(1)}_i=D_{ij} a^{(0)}_j.
$$

Now I would like to know if there is any way of doing

$$
x^l \frac{du}{dx}=\sum_n a^{(x)}_n T_n(x),
$$

I am looking for it everywhere in the literature but I can't find a way of dealing with this kind of operator that appears in the Laplacian. I can't describe every linear operator without it
 
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I haven't worked with Chebyshev polynomials since last millennia, but to me it looks like you are asking for the multiplication of two Chebyshev expansions. If so, that should be fairly straight forward.
 
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I have solved it today. As a computational problem i used a Gaussian integration to take inner products from both sides, as

$$
\sum_k a^{(0)}_k (T_n(x),x^l \frac{du}{dx})=a^{(x)}_n (T_n(x),T_n(x)).
$$

Using Chebyshev collocation points to solve the inner product integral.
 

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