12,632 research outputs found
The Hypotheses on Expansion of Iterated Stratonovich Stochastic Integrals of Arbitrary Multiplicity and Their Partial Proof
In this review article we collected more than ten theorems on expansions of
iterated Ito and Stratonovich stochastic integrals, which have been formulated
and proved by the author. These theorems open a new direction for study of
iterated Ito and Stratonovich stochastic integrals. The expansions based on
multiple and iterated Fourier-Legendre series as well as on multiple and
iterated trigonomectic Fourier series converging in the mean and pointwise are
presented in the article. Some of these theorems are connected with the
iterated stochastic integrals of multiplicities 1 to 5. Also we consider two
theorems on expansions of iterated Ito stochastic integrals of arbitrary
multiplicity based on generalized multiple Fourier
series converging in the sense of norm in Hilbert space as well
as two theorems on expansions of iterated Stratonovich stochastic integrals of
arbitrary multiplicity based on generalized iterated
Fourier series converging pointwise. On the base of the presented theorems we
formulate 3 hypotheses on expansions of iterated Stratonovich stochastic
integrals of arbitrary multiplicity based on generalized
multiple Fourier series converging in the sense of norm in Hilbert space
The mentioned iterated Stratonovich stochastic integrals are
part of the Taylor-Stratonovich expansion. Moreover, the considered expansions
from these 3 hypotheses contain only one operation of the limit transition and
substantially simpler than their analogues for iterated Ito stochastic
integrals. Therefore, the results of the article can be useful for the
numerical integration of Ito stochastic differential equations. Also, the
results of the article were reformulated in the form of theorems of the
Wong-Zakai type for iterated Stratonovich stochastic integrals.Comment: 35 pages. Section 12 was added. arXiv admin note: text overlap with
arXiv:1712.09516, arXiv:1712.08991, arXiv:1802.04844, arXiv:1801.00231,
arXiv:1712.09746, arXiv:1801.0078
APPROXIMATION PROPERTIES OF SOME DISCRETE FOURIER SUMS FOR PIECEWISE SMOOTH DISCONTINUOUS FUNCTIONS
Denote by Ln, N (f, x) a trigonometric polynomial of
order at most n possessing the least quadratic deviation from f
with respect to the system
tk = u +
2Ï€k
N
N−1
k=0 , where u ∈ R and
n 6 N/2. Let D1 be the space of 2π-periodic piecewise continuously differentiable functions f with a finite number of jump discontinuity points −π = ξ1 < . . . < ξm = π and with absolutely
continuous derivatives on each interval (ξi
, ξi+1). In the present article, we consider the problem of approximation of functions f ∈ D1
by the trigonometric polynomials Ln, N (f, x). We have found the
exact order estimate |f(x) − Ln, N (f, x)| 6 c(f, ε)/n, |x − ξi
| > ε.
The proofs of these estimations are based on comparing of approximating properties of discrete and continuous finite Fourier series
Energy-based comparison between the Fourier--Galerkin method and the finite element method
The Fourier-Galerkin method (in short FFTH) has gained popularity in
numerical homogenisation because it can treat problems with a huge number of
degrees of freedom. Because the method incorporates the fast Fourier transform
(FFT) in the linear solver, it is believed to provide an improvement in
computational and memory requirements compared to the conventional finite
element method (FEM). Here, we systematically compare these two methods using
the energetic norm of local fields, which has the clear physical interpretation
as being the error in the homogenised properties. This enables the comparison
of memory and computational requirements at the same level of approximation
accuracy. We show that the methods' effectiveness relies on the smoothness
(regularity) of the solution and thus on the material coefficients. Thanks to
its approximation properties, FEM outperforms FFTH for problems with jumps in
material coefficients, while ambivalent results are observed for the case that
the material coefficients vary continuously in space. FFTH profits from a good
conditioning of the linear system, independent of the number of degrees of
freedom, but generally needs more degrees of freedom to reach the same
approximation accuracy. More studies are needed for other FFT-based schemes,
non-linear problems, and dual problems (which require special treatment in FEM
but not in FFTH).Comment: 24 pages, 10 figures, 2 table
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