Schwartz space

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In mathematics, Schwartz space is the function space of all functions whose derivatives are rapidly decreasing. This space has the important property that the Fourier transform is an automorphism on this space. This property enables one, by duality, to define the Fourier transform for elements in the dual space of , that is, for

tempered distributions
. A function in the Schwartz space is sometimes called a Schwartz function.

A two-dimensional Gaussian function is an example of a rapidly decreasing function.

Schwartz space is named after French mathematician Laurent Schwartz.

Definition

Let be the set of non-negative integers, and for any , let be the n-fold Cartesian product.

The Schwartz space or space of rapidly decreasing functions on is the function space

where is the function space of
smooth functions
from into , and
Here, denotes the
supremum, and we used multi-index notation
, i.e. and .

To put common language to this definition, one could consider a rapidly decreasing function as essentially a function f(x) such that f(x), f′(x), f′′(x), ... all exist everywhere on R and go to zero as x→ ±∞ faster than any reciprocal power of x. In particular, S(Rn, C) is a subspace of the function space C(Rn, C) of smooth functions from Rn into C.

Examples of functions in the Schwartz space

Properties

Analytic properties

  • From
    pointwise multiplication
    :
    If f, g ∈ 𝒮(Rn) then the product fg ∈ 𝒮(Rn).

In particular, this implies that 𝒮(Rn) is an R-algebra. More generally, if f ∈ 𝒮(R) and H is a bounded smooth function with bounded derivatives of all orders, then fH ∈ 𝒮(R).

  1. complete Hausdorff locally convex spaces,
  2. nuclear Montel spaces,
It is known that in the
weak* topology,[1]
  1. Ultrabornological spaces,
  2. reflexive barrelled Mackey spaces.

Relation of Schwartz spaces with other topological vector spaces

  • If 1 ≤ p ≤ ∞, then 𝒮(Rn) ⊂ Lp(Rn).
  • If 1 ≤ p < ∞, then 𝒮(Rn) is dense in Lp(Rn).
  • The space of all bump functions, C
    c
    (Rn)
    , is included in 𝒮(Rn).

See also

References

  1. ^ Trèves 2006, pp. 351–359.

Sources

  • .
  • Reed, M.; Simon, B. (1980). Methods of Modern Mathematical Physics: Functional Analysis I (Revised and enlarged ed.). San Diego: Academic Press. .
  • Stein, Elias M.; Shakarchi, Rami (2003). Fourier Analysis: An Introduction (Princeton Lectures in Analysis I). Princeton: Princeton University Press. .
  • .

This article incorporates material from Space of rapidly decreasing functions on

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