We see that T n and U n are polynomials of degree n.Let us breifly summarize some important properties of the Chebyshev polynomials.If |x| ≤ 1, the following convenient representations are validU n (x) =T n (x) = cos(n arccos x), n = 0, 1, ...; (321)1√ sin ((n + 1) arccos x), n = 0, 1, ... . (322)1 − x2At x = ±1 the right-hand side of formula (322) should be replaced by the limit.Polynomials of the first and second kind are coupled by the relationshipsU n (x) = 1n + 1 T ′ n+1(x), n = 0, 1, ... . (323)Polynomials T n and U n are, respectively, even functions for even n and odd functions for oddn:T n (−x) = (−1) n T n (x),U n (−x) = (−1) n (324)U n (x).One of the most important properties is the orthogonality of the Chebyshev polynomialsin the segment [−1, 1] with a certain weight function (a weight). This property is expressed asfollows:⎧∫1⎪⎨ 0, n ≠ m1T n (x)T m (x) √ dx = π/2, n = m ≠ 0 ; (325)−11 − x2 ⎪ ⎩π, n = m = 0∫ 1−1U n (x)U m (x) √ 1 − x 2 dx ={0, n ≠ mπ/2, n = m . (326)Thus in the segment [−1, 1], the Chebyshev polynomials of the first kind are orthogonalwith the weight 1/ √ 1 − x 2 and the Chebyshev polynomials of the second kind are orthogonalwith the weight √ 1 − x 2 .16.2 Fourier–Chebyshev seriesFormulas (325) and (326) enable one to decompose functions in the Fourier series in Chebyshevpolynomials (the Fourier–Chebyshev series),orf(x) = a 02 T 0(x) +Coefficients a n and b n are determined as followsa n = 2 π∞∑a n T n (x), x ∈ [−1, 1], (327)n=1∞∑f(x) = b n U n (x), x ∈ [−1, 1]. (328)n=0∫1−1dxf(x)T n (x) √ , n = 0, 1, ...; (329)1 − x260
n = 2 π∫1−1f(x)U n (x) √ 1 − x 2 dx, n = 0, 1, ... . (330)Note that f(x) may be a complex-valued function; then the Fourier coefficients a n and b nare complex numbers.Consider some examples of decomposing functions in the Fourier–Chebyshev series√1 − x2 = 2 π − 4 π∞∑n=114n 2 − 1 T 2n(x), −1 ≤ x ≤ 1;arcsin x = 4 ∞∑ 1πn=0(2n + 1) T 2n+1(x), −1 ≤ x ≤ 1;2∞∑ (−1) n−1ln (1 + x) = − ln 2 + 2T n (x), −1 < x ≤ 1.n=1nSimilar decompositions can be obtained using the Chebyshev polynomials U n of the secondkind. In the first example above, an even function f(x) = √ 1 − x 2 is decomposed; therefore itsexpansion contains only coefficients multiplying T 2n (x) with even indices, while the terms withodd indices vanish.Since |T n (x)| ≤ 1 according to (321), the first and second series converge for all x ∈ [−1, 1]uniformly in this segment. The third series represents a different type of convergence: it convergesfor all x ∈ (−1, 1] (−1 < x ≤ 1) and diverges at the point x = −1; indeed, thedecomposed function f(x) = ln(x + 1) is not defined at x = −1.In order to describe the convergence of the Fourier–Chebyshev series introduce the functionalspaces of functions square-integrable in the segment (−1, 1) with the weights 1/ √ 1 − x 2 and√1 − x2 . We shall write f ∈ L (1)2 if the integral∫1−1|f(x)| 2 dx√1 − x2(331)converges, and f ∈ L (2)2 if the integral∫1−1|f(x)| 2√ 1 − x 2 dx. (332)converges. The numbers specified by (convergent) integrals (331) and (332) are the squarednorms of the function f(x) in the spaces L (1)2 and L (2)2 ; we will denote them by ‖f‖ 2 1 and ‖f‖ 2 2,respectively. Write the symbolic definitions of these spaces:∫1L (1)2 := {f(x) : ‖f‖ 2 1 :=−1∫1L (2)2 := {f(x) : ‖f‖ 2 2 :=−161|f(x)| 2 dx√ < ∞},1 − x2|f(x)| 2√ 1 − x 2 dx < ∞}.
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Karlstad UniversityDivision for Eng
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10.5 The Hilbert-Schmidt theorem .
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2 Notion and examples of integral e
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Subtracting termwise we obtain an o
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