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Fundamental parallelotopes of a lattice tile Euclidean space with covolume volume
Statement
Assume Countable Choice (The Axiom of Countable Choice ()). Let be an invertible real matrix, a full-rank lattice, and where are the columns of , the fundamental parallelotope of . Then every has a unique representation with and ; consequently the translates () are pairwise disjoint and cover . Moreover is Lebesgue measurable and . Countable Choice is inherited by the box-measure and linear change-of-variables suppliers in the volume computation; the unique representation is choice-free.
Facts & Assumptions
Given: Countable Choice and an invertible real matrix with columns and the full-rank lattice of Full-rank lattices, covolume, and the dual lattice, whose covolume is .
The lattice notation is that of Full-rank lattices, covolume, and the dual lattice: , and is invertible (A finite square real matrix is invertible if and only if its determinant is nonzero).
For every real there is exactly one integer with , written ; consequently every real has a unique decomposition with and , namely and when , and , when (Integer part: for every real there is exactly one integer with ).
The half-open box is Lebesgue measurable with (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Axis-parallel rectangles in and their volume).
If is linear with matrix and , then is Lebesgue measurable for every Lebesgue measurable and (A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not); this volume supplier assumes Countable Choice (The Axiom of Countable Choice ()).
Products of a matrix with a column vector have the entries , so (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
Proof
Write an arbitrary as with , possible and unique because is invertible [F1]. By [F2] each coordinate has a unique decomposition with and : if then . With and this gives , where and by [F5].
The representation of step 1.1 is unique: if with and , then injectivity of gives and [F2] gives , coordinatewise. Hence every lies in exactly one translate , : the translates are pairwise disjoint and cover .
Volume: by [F5], the box is Lebesgue measurable of measure one [F3], and is an invertible linear map; by the change-of-variables theorem for linear maps [F4] the set is Lebesgue measurable with [F1]. Only the volume computation uses Countable Choice, inherited from both [F3] and [F4]; the decomposition and uniqueness of steps 1.1 and 2.1 are choice-free.
Depends on
- Full-rank lattices, covolume, and the dual lattice
- Integer part: for every real $x$ there is exactly one integer $m$ with $m \le x < m + 1$
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Axis-parallel rectangles in $\mathbb{R}^m$ and their volume
- A linear map $T$ of $\mathbb{R}^n$ sends Lebesgue measurable sets to Lebesgue measurable sets, with $\lambda_n(T[E])=|\det T|\,\lambda_n(E)$ when $T$ is invertible and $T[E]$ Lebesgue null when it is not
- A finite square real matrix is invertible if and only if its determinant is nonzero
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Rectangular matrix multiplication and the identity matrix $I_n$, including zero-sized shapes
Used by
- Continuous lattice-periodic functions are determined by their lattice Fourier coefficients Lemma
- Fourier coefficients of a lattice periodisation Lemma
- Orthogonality of the lattice characters over a fundamental domain Lemma
- Poisson summation for a full-rank lattice Theorem
- Poisson summation under two-sided polynomial decay Theorem
Dependency tree · two levels
85 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Lior Silberman, Fourier series and the Poisson summation formula (Math 604/613 notes, UBC) (standard reference, not scraped)
- Michael E. Taylor, Fourier Analysis, Distributions, and Constant-Coefficient Linear PDE (author PDF) (standard reference, not scraped)