Discrete Bessel and Mathieu functions are introduced as N-point Fourier-sum approximants to the continuous special functions via separation of variables under discrete dihedral symmetry.
Discrete Bessel functions and transform
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abstract
We present a straightforward discretization of the Bessel functions $J_n(x)$ to discrete counterparts $B^{(N)}_n(x_m)$, of $N$ integer orders $n$ on $N$ integer points $x_m \equiv m$, that we call discrete Bessel functions. These are built from a Bessel integral generating function, restricting the Fourier transform over the circle to $N$ points. We show that the discrete Bessel functions satisfy several linear and quadratic relations, particularly Graf's product-displacement formulas, that are exact analogues of well-known relations between the continuous functions. It is noteworthy that these discrete Bessel functions approximate very closely the values of the continuous functions in ranges $n + |m| < N$. For fixed $N$, this provides an $N$-point transform between functions of order and of position,$f_n$ and $\widetilde{f}_m$, which is efficient for the Fourier analysis of finite decaying signals.
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math-ph 1years
2021 1verdicts
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Discrete Bessel and Mathieu functions
Discrete Bessel and Mathieu functions are introduced as N-point Fourier-sum approximants to the continuous special functions via separation of variables under discrete dihedral symmetry.