2010 | OriginalPaper | Buchkapitel
Fourier Analysis on ℝ n
verfasst von : Michael Ruzhansky, Ville Turunen
Erschienen in: Pseudo-Differential Operators and Symmetries
Verlag: Birkhäuser Basel
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In this chapter we review basic elements of Fourier analysis on ℝ
n
. Consequently, we introduce spaces of distributions, putting emphasis on the space of tempered distributions
S′
(ℝ
n
). Finally, we discuss Sobolev spaces and approximation of functions and distributions by smooth functions. Throughout, we fix the measure on ℝ
n
to be Lebesgue measure. For convenience, we may repeat a few definitions in the context of ℝ
n
although they may have already appeared in Chapter C on measure theory. From this point of view, the present chapter can be read essentially independently. The notation used in this chapter and also in Chapter 2 is 〈ξ〉 = (1 + |ξ|
2
)
1/2
where |ξ| = (ξ
1
2
+ ξ
n
2
)
1/2
, ξ ∈ ℝ
n
.