Sinc Methods


Definition: The sinc function is defined to be:

sf

Definition: Sinc methods are a family of formulas based on the sinc function which give accurate approximations of derivatives and definite and indefinite integrals and convolutions. These methods were developed by Frank Stenger. One of the nice properties of these methods is that they can handle boundary layer problems, integrals with infinite intervals or with singular integrands, and ODEs or PDEs that have coefficients with singularities.

Definition: The matrix I(-1) is defined as follows

sf

This matrix is used for sinc quadrature and sinc convolution.

Notice that the above matrix can be written as a sum of two matrices; one of them is the matrix [0.5] which is of rank 1, and the other is real skew-symmetric Toeplitz.

Another important matrix in Sinc methods is I(1). This is a skew-symmetric Toeplitz matrix generated by the function f(x)=-ix on [-Pi,Pi]. Thus, if b is an eigenvalue of I(1), then b=ia, where a is a real number greater than or equal to -Pi and less than or equal to Pi. The n by n I(1) is defined as follows