Math 2.0

Integral transforms, operational calculus Definition

Legendre integral transform

Builds on Legendre polynomialsLp spaceFourier–Legendre series

Definition

Let f ⁣:[−1,1]→ℂf \colon [-1, 1] \to \C be Lebesgue integrable, and let PnP_n denote the Legendre polynomial of degree nn. The Legendre transform of ff is the sequence (f~(n))n≥0(\tilde f(n))_{n \ge 0} given by f~(n)=∫−11Pn(x) f(x) dx,n=0,1,2,…\tilde f(n) = \int_{-1}^{1} P_n(x)\, f(x)\, dx, \qquad n = 0, 1, 2, \dots

Remarks

The integrals converge because ∣Pn(x)∣≤1\abs{P_n(x)} \le 1 on [−1,1][-1, 1]. Let f∈L2([−1,1])f \in L^2([-1, 1]), the L2L^2 space. Then the inverse transform is the Fourier–Legendre series f(x)=∑n=0∞2n+12 f~(n) Pn(x),f(x) = \sum_{n=0}^{\infty} \frac{2n + 1}{2}\, \tilde f(n)\, P_n(x), with convergence in L2([−1,1])L^2([-1, 1]); this follows from ∫−11PmPn dx=22n+1δmn\int_{-1}^{1} P_m P_n\, dx = \frac{2}{2n+1} \delta_{mn} and the completeness of the Legendre polynomials. If ff is twice continuously differentiable on [−1,1][-1, 1], integration by parts gives ∫−11Pn(x) ddx[(1−x2)f′(x)] dx=−n(n+1) f~(n)\int_{-1}^{1} P_n(x)\, \frac{d}{dx}\big[(1 - x^2) f'(x)\big]\, dx = -n(n+1)\, \tilde f(n), the rule that makes the transform useful for Legendre's equation.

Example: f(x)=x2f(x) = x^2. Since x2=13P0(x)+23P2(x)x^2 = \frac{1}{3} P_0(x) + \frac{2}{3} P_2(x), orthogonality gives f~(0)=13⋅2=23\tilde f(0) = \frac{1}{3} \cdot 2 = \frac{2}{3}, f~(2)=23⋅25=415\tilde f(2) = \frac{2}{3} \cdot \frac{2}{5} = \frac{4}{15}, and f~(n)=0\tilde f(n) = 0 otherwise. Directly, f~(0)=∫−11x2 dx=23\tilde f(0) = \int_{-1}^{1} x^2\, dx = \frac{2}{3}.

Non-example: f(x)=11−xf(x) = \frac{1}{1 - x} is not integrable on [−1,1][-1, 1], and f~(0)=∫−11dx1−x\tilde f(0) = \int_{-1}^{1} \frac{dx}{1 - x} diverges.

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  1. Fourier–Legendre series concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Legendre_transform_(integral_transform)
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MSC44A15, 42C10, 33C45
DefinesLegendre integral transform
UsesLegendre polynomials, Lp space, Fourier–Legendre series

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