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Invertible linear substitutions preserve Schwartz space
Statement
Let be an invertible real matrix and put . If then ; more precisely, for every pair of multi-indices there are a constant and a finite set of Schwartz seminorms of with Hence is a continuous linear endomorphism of with continuous inverse . No choice principle is used.
Facts & Assumptions
Given: An invertible real matrix , a function as in Schwartz space and its seminorms, and the multi-index derivative notation of maps and multi-index derivative notation in Euclidean space.
, and for (Schwartz space and its seminorms); a map is when all iterated coordinate derivatives of order at most exist and are continuous, meaning for every ( maps and multi-index derivative notation in Euclidean space).
Totally differentiable maps and their total derivative are as in The total (Fréchet) derivative as the linear first-order approximation with remainder, and (The chain rule for total derivatives: ); if all partial derivatives of a map exist on a neighbourhood of a point and are continuous there, the map is totally differentiable at that point with derivative the Jacobian matrix (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).
Finite sums and scalar multiples, and composites, of Euclidean maps are ( Euclidean maps are closed under componentwise algebra and composition).
Every linear map has a unique matrix with and satisfies for some (Every Euclidean linear map has a unique matrix and satisfies for some ); is invertible, so is defined (A finite square real matrix is invertible if and only if its determinant is nonzero), and matrix-vector multiplication is the matrix product of Rectangular matrix multiplication and the identity matrix , including zero-sized shapes.
The Schwartz topology has as a base of neighbourhoods of a point the finite intersections of conditions (Schwartz topology and convergence).
For a natural number and reals , the expansion holds (The multinomial coefficient equals , and in ).
For a real scalar field, , every ordered derivative of order is unchanged by permuting the coordinate differentiations (Continuous mixed partials of order are invariant under permutations). Applying this to the real and imaginary parts gives the same assertion for smooth complex functions, so .
Proof
The map is : each component is a finite sum of scalar multiples of the coordinate functions, whose iterated coordinate derivatives are constant, hence continuous, so each component is as a composite of the identity with itself and finite sums of such [F1, F3]. It is totally differentiable at every with , because has remainder identically zero in the defining limit [F2]. Consequently [F1, F3], and for every map on and every , the chain rule gives , and the matrix of is the Jacobian because the partial derivatives of are continuous [F2, F4], so .
Iterating the coordinate chain rule of step 1.1 along the canonical differentiation word for gives a finite sum of derivatives of of order , evaluated at , with constant coefficients depending only on . By [F7] those derivatives can be grouped by their multi-indices, giving . The case has its single coefficient equal to one.
Choose with [F4], and put . For one has . By [F6] this last power is , where is the multinomial coefficient with exponent tuple . Combining this expansion with step 2.1 and taking the supremum over gives , hence the asserted finite-maximum bound with .
Every seminorm is finite by step 3.1, so ; and the same step with replaced by shows , while . For continuity, fix a basic neighbourhood () of in the Schwartz topology [F5]; by step 3.1 the preimage under contains the neighbourhood of cut out by the finitely many conditions over the appearing in the -th estimate, so the map is continuous at and, being linear, everywhere. The same argument applies to . No choice is used: all sums, constants and maxima above range over finite index sets determined by and the fixed matrix .
The theorem Basic operations are continuous on Schwartz space includes reflection, the special case , but does not assert continuity for arbitrary invertible linear substitutions. The argument above establishes the general case directly, without using that theorem as a supplier.
Depends on
- Schwartz space and its seminorms
- $C^k$ maps and multi-index derivative notation in Euclidean space
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
- The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
- $C^k$ Euclidean maps are closed under componentwise algebra and composition
- Every Euclidean linear map has a unique matrix and satisfies $\|Lh\|_2\le K\|h\|_2$ for some $K\ge0$
- A finite square real matrix is invertible if and only if its determinant is nonzero
- Rectangular matrix multiplication and the identity matrix $I_n$, including zero-sized shapes
- Schwartz topology and convergence
- The multinomial coefficient equals $n!/\prod_{i<m} k_i!$, and $(x_0+\dots+x_{m-1})^{n} = \sum \iota\!\binom{n}{k}\prod_{i<m} x_i^{k_i}$ in $\mathbb{R}$
- Basic operations are continuous on Schwartz space
- Continuous mixed partials of order $k$ are invariant under permutations
Used by
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Sources
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (arXiv:0903.3845) (standard reference, not scraped)
- Lior Silberman, Fourier series and the Poisson summation formula (Math 604/613 notes, UBC) (standard reference, not scraped)