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Return to Part V of the course APMA0340
Introduction to Linear Algebra with Mathematica
In calculus, you learnt that an infinite series \( \sum_{k\ge 0} a_k \) converges (or is convergent) to S if the sequence of partial sums \( S_n = \sum_{k= 0}^n a_k \) tends to S as n → ∞. In case of Fourier series, elements of series depend on real parameter x ∈ [−ℓ, ℓ], and we come to definition of its partial sums.
Theorem 1:
For any real-valued function f : [−ℓ, ℓ] → ℝ and any positive integer N ∈ ℕ = { 0, 1, 2, … }, its N-th partial Fourier exponential sum
are the same; here coefficients 𝑎k, bk and \( \displaystyle \hat{f}(n) \) are determined by the Euler--Fouier formulas \eqref{EqFourier.2} and \eqref{EqFourier.4}, respectively. Moreover, the N-th partial Fourier sum is expressed in an integral form, known as a convolution, which is denoted by star:
because \( \displaystyle \frac{2}{x} \le \frac{1}{\left\vert \sin (x/2) \right\vert} . \) In the latter integral, we make substitution \( \displaystyle t = \left( 2N+1 \right) x/2 \) to obtain
where HN is the harmonic number that approaches infinity as logarithm when N → ∞. Indeed, Hn = lnn + γ +o(n) as n → ∞, where γ = 0.5772156649 is the Euler–Mascheroni constant.
The Dirichlet kernel is related to Fourier expansion of the Dirac delta function:
we derive the required formula for the Dirichlet conjugate kernel.
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End of Example 3
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