Schwartz space

For the Schwartz space of a semisimple Lie group, see Harish-Chandra's Schwartz space. For the Schwartz space of a locally compact abelian group, see Schwartz–Bruhat function.

In mathematics, Schwartz space ${\displaystyle {\mathcal {S}}}$ 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 ${\displaystyle {\mathcal {S}}^{*}}$ of ${\displaystyle {\mathcal {S}}}$, 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 ${\displaystyle \mathbb {N} }$ be the set of non-negative integers, and for any ${\displaystyle n\in \mathbb {N} }$, let ${\displaystyle \mathbb {N} ^{n}:=\underbrace {\mathbb {N} \times \dots \times \mathbb {N} } _{n{\text{ times}}}}$ be the n-fold Cartesian product.

The Schwartz space or space of rapidly decreasing functions on${\displaystyle \mathbb {R} ^{n}}$ is the function space$${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n},\mathbb {C} \right):=\left\{f\in C^{\infty }(\mathbb {R} ^{n},\mathbb {C} )\mid \forall {\boldsymbol {\alpha }},{\boldsymbol {\beta }}\in \mathbb {N} ^{n},\|f\|_{{\boldsymbol {\alpha }},{\boldsymbol {\beta }}}<\infty \right\},}$$where ${\displaystyle C^{\infty }(\mathbb {R} ^{n},\mathbb {C} )}$ is the function space of smooth functions from ${\displaystyle \mathbb {R} ^{n}}$ into ${\displaystyle \mathbb {C} }$, and$${\displaystyle \|f\|_{{\boldsymbol {\alpha }},{\boldsymbol {\beta }}}:=\sup _{{\boldsymbol {x}}\in \mathbb {R} ^{n}}\left|{\boldsymbol {x}}^{\boldsymbol {\alpha }}({\boldsymbol {D}}^{\boldsymbol {\beta }}f)({\boldsymbol {x}})\right|.}$$ Here, ${\displaystyle \sup }$ denotes the supremum, and we used multi-index notation, i.e. ${\displaystyle {\boldsymbol {x}}^{\boldsymbol {\alpha }}:=x_{1}^{\alpha _{1}}x_{2}^{\alpha _{2}}\ldots x_{n}^{\alpha _{n}}}$ and ${\displaystyle D^{\boldsymbol {\beta }}:=\partial _{1}^{\beta _{1}}\partial _{2}^{\beta _{2}}\ldots \partial _{n}^{\beta _{n}}}$.

To put common language to this definition, one could consider a rapidly decreasing function as essentially a function ${\displaystyle f}$ such that ${\displaystyle f(x),f'(x),f^{\prime \prime }(x),\ldots }$ , all exist everywhere on ${\displaystyle \mathbb {R} }$ and go to zero as ${\displaystyle x\rightarrow \pm \infty }$ faster than any reciprocal power of ${\displaystyle x}$. In particular, ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n},\mathbb {C} \right)}$ is a subspace of ${\displaystyle C^{\infty }(\mathbb {R} ^{n},\mathbb {C} )}$.

Examples of functions in the Schwartz space

• If ${\displaystyle {\boldsymbol {\alpha }}}$ is a multi-index, and a is a positive real number, then

  ${\displaystyle {\boldsymbol {x}}^{\boldsymbol {\alpha }}e^{-a|{\boldsymbol {x}}|^{2}}\in {\mathcal {S}}(\mathbb {R} ^{n}).}$

• Any smooth function ${\displaystyle f}$ with compact support is in ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$. This is clear since any derivative of ${\displaystyle f}$ is continuous and supported in the support of ${\displaystyle f}$, so (${\displaystyle {\boldsymbol {x}}^{\boldsymbol {\alpha }}{\boldsymbol {D}}^{\boldsymbol {\alpha }})f}$ has a maximum in ${\displaystyle \mathbb {R} ^{n}}$ by the extreme value theorem.
• Because the Schwartz space is a vector space, any polynomial ${\displaystyle \phi ({\boldsymbol {x}})}$ can be multiplied by a factor ${\displaystyle e^{-a\vert {\boldsymbol {x}}\vert ^{2}}}$ for ${\displaystyle a>0}$ a real constant, to give an element of the Schwartz space. In particular, there is an embedding of polynomials into a Schwartz space.

Properties

Analytic properties

• From Leibniz's rule, it follows that ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$ is also closed under pointwise multiplication:

${\displaystyle f,g\in {\mathcal {S}}\left(\mathbb {R} ^{n}\right)\Rightarrow fg\in {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$ In particular, this implies that ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$ is an ${\displaystyle \mathbb {R} }$-algebra. More generally, if ${\displaystyle f\in {\mathcal {S}}\left(\mathbb {R} \right)}$ and ${\displaystyle H}$ is a bounded smooth function with bounded derivatives of all orders, then ${\displaystyle fH\in {\mathcal {S}}\left(\mathbb {R} \right)}$.

• The Fourier transform is a linear isomorphism ${\displaystyle {\mathcal {F}}:{\mathcal {S}}\left(\mathbb {R} ^{n}\right)\longrightarrow {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$.
• If ${\displaystyle f\in {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$ then ${\displaystyle f}$ is Lipschitz continuous and hence uniformly continuous on ${\displaystyle \mathbb {R} ^{n}}$.
• ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$ is a distinguished locally convex Fréchet Schwartz TVS over the complex numbers.
• Both ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$and its strong dual space are also:

1. complete Hausdorff locally convex spaces,
2. nuclear Montel spaces,
3. ultrabornological spaces,
4. reflexive barrelled Mackey spaces.

Relation of Schwartz spaces with other topological vector spaces

• If ${\displaystyle 1\leqslant p<\infty }$, then ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$ is a dense subset of ${\displaystyle L^{p}(\mathbb {R} ^{n})}$.
• The space of all bump functions, ${\displaystyle C_{c}^{\infty }\left(\mathbb {R} ^{n}\right)}$, is included in ${\displaystyle {\mathcal {S}}\left(\mathbb {R} ^{n}\right)}$.

See also

• Bump function
• Schwartz–Bruhat function
• Nuclear space

References

Sources

• Hörmander, L. (1990). The Analysis of Linear Partial Differential Operators I, (Distribution theory and Fourier Analysis) (2nd ed.). Berlin: Springer-Verlag. ISBN   3-540-52343-X.
• Reed, M.; Simon, B. (1980). Methods of Modern Mathematical Physics: Functional Analysis I (Revised and enlarged ed.). San Diego: Academic Press. ISBN   0-12-585050-6.
• Stein, Elias M.; Shakarchi, Rami (2003). Fourier Analysis: An Introduction (Princeton Lectures in Analysis I). Princeton: Princeton University Press. ISBN   0-691-11384-X.
• Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN   978-0-486-45352-1. OCLC   853623322.

This article incorporates material from Space of rapidly decreasing functions on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.