Non Periodic Trigonometric Polynomial Approximation
For researchers in numerical analysis and approximation theory, this provides a new basis that overcomes limitations of polynomial approximation for non-periodic functions.
The paper proposes using powers of sin(px) as basis functions for approximating non-periodic functions, achieving spectral accuracy for analytic functions and higher accuracy in numerical integration compared to Legendre quadrature.
The suitable basis functions for approximating periodic function are periodic, trigonometric functions. When the function is not periodic, a viable alternative is to consider polynomials as basis functions. In this paper we will point out the inadequacy of polynomial approximation and suggest to switch from powers of $x$ to powers of $\sin(px)$ where $p$ is a parameter which depends on the dimension of the approximating subspace. The new set does not suffer from the drawbacks of polynomial approximation and by using them one can approximate analytic functions with spectral accuracy. An important application of the new basis functions is related to numerical integration. A quadrature based on these functions results in higher accuracy compared to Legendre quadrature.