Math 2.0

Harmonic analysis on Euclidean spaces Definition

Trigonometric interpolation

Builds on Trigonometric polynomial

Definition

Let n≥0n \ge 0 and let x0,…,x2nx_0, \ldots, x_{2n} be 2n+12n + 1 real numbers that are pairwise distinct modulo 2π2\pi. Let y0,…,y2ny_0, \ldots, y_{2n} be complex numbers. The trigonometric interpolation polynomial for these data is the unique trigonometric polynomial p(x)=∑k=−nnckeikxp(x) = \sum_{k=-n}^{n} c_k e^{ikx} of degree at most nn such that p(xj)=yjp(x_j) = y_j for j=0,…,2nj = 0, \ldots, 2n. Trigonometric interpolation is the construction of pp from the data.

Remarks

Existence and uniqueness: the conditions form a square linear system in c−n,…,cnc_{-n}, \ldots, c_n. Let pp have degree at most nn and vanish at all xjx_j. With z=eixz = e^{ix}, the function znpz^n p is an ordinary polynomial of degree at most 2n2n in zz. It has the 2n+12n + 1 distinct roots eixje^{ix_j}, so p=0p = 0. Hence the system has a unique solution. If all yjy_j are real, then c−k=ck‾c_{-k} = \overline{c_k} and pp is real-valued.

For equally spaced nodes xj=2πj/(2n+1)x_j = 2\pi j / (2n+1), the coefficients are ck=12n+1∑j=02nyje−ikxj,c_k = \frac{1}{2n+1} \sum_{j=0}^{2n} y_j e^{-ik x_j}, a discrete Fourier transform of the data.

Example: n=1n = 1, nodes 0,2π/3,4π/30, 2\pi/3, 4\pi/3 and values 1,0,01, 0, 0. The formula gives c0=c1=c−1=1/3c_0 = c_1 = c_{-1} = 1/3, so p(x)=13+23cos⁡xp(x) = \frac{1}{3} + \frac{2}{3} \cos x. Check: p(0)=1p(0) = 1 and p(2π/3)=p(4π/3)=13−13=0p(2\pi/3) = p(4\pi/3) = \frac{1}{3} - \frac{1}{3} = 0.

Non-example: the nodes 00 and 2π2\pi are equal modulo 2π2\pi, so they are not allowed. The data p(0)=1p(0) = 1, p(2π)=0p(2\pi) = 0 cannot be met by any 2π2\pi-periodic function.

With an even number 2n2n of nodes one uses trigonometric polynomials of degree nn with a constraint on the top frequency, such as a cosine term only.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Trigonometric_interpolation
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