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Smooth torus test functions have rapidly convergent Fourier pairings
Statement
Assume Countable Choice. Let , , , , and let be a smooth -periodic function. With the Fourier coefficients of Neutral point sources and Fourier data on a three-dimensional torus, for every derivative order , Consequently the Fourier series of and every differentiated series converge uniformly to and its corresponding derivatives. More generally, if a coefficient sequence satisfies for some and , then converges absolutely and defines a continuous periodic distribution. A periodic distribution is determined by its Fourier coefficients.
Facts & Assumptions
Given: Countable Choice, , the lattice data of Neutral point sources and Fourier data on a three-dimensional torus, a smooth periodic , and a sequence with for fixed finite and .
Countable Choice is assumed by the periodic Fourier uniqueness theorem used below (The Axiom of Countable Choice ()).
The cell has volume , its angular characters are , and the Fourier coefficient is (Neutral point sources and Fourier data on a three-dimensional torus, Fundamental parallelotopes of a lattice tile Euclidean space with covolume volume).
The lattice characters are orthogonal on : for and otherwise (Orthogonality of the lattice characters over a fundamental domain).
Integration by parts on a closed interval holds for differentiable factors with integrable derivatives; periodic endpoint values cancel when the factors are periodic (If are differentiable on with integrable, then ).
For every real , converges (The p-series for a real exponent p converges exactly when p is greater than one).
A function series dominated termwise by a convergent scalar series converges uniformly (Weierstrass M-test for complex-valued function series).
Uniform convergence of the derivatives, together with convergence at one point, identifies the derivative of the uniform limit on a closed interval (If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit).
A continuous periodic function with all Fourier coefficients zero vanishes identically on the torus (Continuous lattice-periodic functions are determined by their lattice Fourier coefficients).
Linear change of variables sends to the fundamental cube, and an absolutely integrable function on the cube may be integrated successively in its three coordinates (A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions, Fubini's theorem for L^1 functions on a sigma-finite product).
Proof
Put , which is smooth and -periodic. Change variables to the unit cube and integrate successively in the three coordinates using [F8]. In coordinates the physical Laplacian is the constant-coefficient operator . Repeatedly apply [F3] to the real and imaginary parts in each coordinate; periodicity makes every opposite-face boundary term cancel, and the character is an eigenfunction with eigenvalue . Thus for every integer , The last inequality follows because the Fourier coefficient is the normalized integral over the cell [F1].
Since , the number of integer vectors with is at most . For any fixed , choose an integer ; the shell sum of is then bounded by a constant times a convergent p-series [F4]. Hence .
Enumerate by increasing and lexicographically within each finite shell. For each derivative order, step 2.1 and [F5] make the Fourier series and its formal derivative series uniformly convergent. Apply [F6] to the real and imaginary parts along each coordinate line; the uniform derivative limits are the derivatives of the sum. By [F2], termwise integration shows that the sum has the same Fourier coefficients as ; [F7] makes the continuous difference zero. Each derivative series likewise has the coefficients of the corresponding derivative of , by periodic integration by parts [F3], so [F7] identifies it with that derivative. Hence the Fourier partial sums converge in every smooth seminorm.
Choose in step 1.1. The shell count of step 2.1 gives This is a bound by the seminorm , a finite sum of the smooth seminorms in the source-data definition, so is a continuous linear functional. If a periodic distribution has the same Fourier coefficients as , their difference vanishes on every character and hence on every trigonometric polynomial; by the smooth convergence of step 3.1 and continuity of the distribution, it vanishes on every smooth test function. Therefore the coefficients determine it.
Depends on
- A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Neutral point sources and Fourier data on a three-dimensional torus
- Orthogonality of the lattice characters over a fundamental domain
- Fundamental parallelotopes of a lattice tile Euclidean space with covolume volume
- Continuous lattice-periodic functions are determined by their lattice Fourier coefficients
- Fubini's theorem for L^1 functions on a sigma-finite product
- If $u,v$ are differentiable on $[a,b]$ with $u',v'$ integrable, then $\int_a^b u v' = u(b)v(b)-u(a)v(a) - \int_a^b u'v$
- The p-series for a real exponent p converges exactly when p is greater than one
- If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit
- Weierstrass M-test for complex-valued function series
Used by
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Sources
- Lior Silberman, Fourier Series and the Poisson Summation Formula (Math 613 lecture notes) (standard reference, not scraped)