Chebyshev and Fourier Spectral Methods: Second Revised by John P. Boyd

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By John P. Boyd

Spectral tools, as offered via Boyd, are options for numerically fixing differential equations. His publication is a suite of loads of functional details provided ordinarily via a mathematical body paintings. functional skill various things to diversified humans; in Boyd's case, he discusses the main points of what occurs in placing the maths to take advantage of (the pitfalls), and whilst every one approach could be used. assisting numerical tools, akin to matrix ideas, are mentioned the place wanted. instance laptop code is scarce. labored examples are unevenly used, and infrequently abstract.

As a beginner to the sector, i discovered the extent of presentation a notch too excessive so that it will utilize it. It used to be extra summary than utilized. i am not announcing it isn't informative, merely that this isn't an outstanding first e-book at the subject. i'd get this as a moment or 3rd book.

I provide it four begins as a result of proceedings. There aren't loads of illustrations, and furthermore those who are integrated are frequently too easy or want extra annotation. a bit extra idea may still move into them, and there may be a extra of them for the various extra summary themes. extra idea should still cross into the association too. info at diverse degrees of craftsmanship are scattered all through so that you both (a) want to know the solutions already, (b) pass forward numerous chapters, or (c) cross on an apart in one other textual content.

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Additional info for Chebyshev and Fourier Spectral Methods: Second Revised Edition

Example text

A space-only spectral discretization reduces the original partial differential equation to a set of ordinary differential equations in time, which can then be integrated by one’s favorite Runge-Kutta or other ODE time-marching scheme. 28) with the boundary conditions that the solution must be periodic with a period of 2π. 29) n=1 where the cen (x) and sen (x) are transcendental functions known as Mathieu functions and the λn and µn are the corresponding eigenvalues. The coefficients an (0) and bn (0) are the values of the coefficients of the Mathieu function series for u(x) at t = 0.

Supergeometric” convergence can then be graphically defined as coefficients whose curve develops a more and more negative slope (rather than a constant slope) on a log-linear graph. 5: log | an | versus n for four rates of convergence. Circles: algebraic convergence, such as an ∼ 1/n2 . 5 n2/3 ). Solid: geometric convergence, such as exp(−µ n) for any positive µ. Pluses: supergeometric, such as an ∼ exp(−n log(n) ) or faster decay. CHAPTER 2. 6: Same as previous figure except that the graph is log-log: the degree of the spectral coefficient n is now plotted on a logarithmic scale, too.

2) are also changed from [−π, π] to [0, 2π]. 1) are completely equivalent, and we shall use whichever is convenient. The coefficients of the two forms are related by c0 cn = a0 , n=0 (an − ibn )/2, = (an + ibn )/2, n>0 n<0 Often, it is unnecessary to use the full Fourier series. In particular, if f (x) is known to have the property of being symmetric about x = 0, which means that f (x) = f (−x) for all x, then all the sine coefficients are zero. The series with only the constant and the cosine terms is known as a “Fourier cosine series”.

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