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There are known many orthogonal polynomials, for example,
Zernike polynomials, Walsh polynomials, Haar wavelets, Jacobi polynomials,
Rational orthogonal functions
Let { pₙ }n≥0 be a linearly independent sequence of polynomials with deg pₙ = n, and let ⟨ · , · ⟩ (also denoted by ⟨ · ∣ · ⟩) be an inner product on polynomials (e.g., span class="math">\( \displaystyle \quad \langle f,g\rangle =\int _a^bf(x)g(x)w(x)\, {\text d}x \) ).
Apply Gram–Schmidt to { pₙ }n≥0 to obtain an orthogonal sequence { ψₙ }. The two‑term recurrence becomes
If we choose pₙ(x) = xⁿ, this is the Gram–Schmidt construction of an orthogonal polynomial system with respect to ⟨ · , · ⟩.
Assume now that { ψₙ(x) } is an orthogonal polynomial system with degree ψₙ(x) = n, and that we have chosen a normalization (e.g., monic or orthonormal). Then multiplication by x maps ψₙ into the span of { ψ₀, ψ₁, … , ψn+1 }. Orthogonality plus degree considerations imply
Solving for ψn+1 gives the classical three‑term recurrence
\[
????
\]
Conceptually: the two‑term recurrence describes how to orthogonalize each new input polynomial pₙ against ψn-1; the three‑term recurrence describes how the multiplication operator x acts on the orthogonal basis { ψₙ }.
Agarwal, R.P. and O'Regan, D., Ordinary and Partial Differential Equations with Special Functions, Fourier Series, and Boundary Value Problems, Springer, 2009, NY.
Ismail, M.E.H., Classical and Quantum Orthogonal Polynomials in One Variable, Cambridge University Press, 2003, https://doi.org/10.1017/CBO9781107325982
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