How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Real phase retrieval via finite real measurements
Definition
Let , , and be a finite family in , allowing zero measurement vectors and not assuming that spans. Here and ; measurement labels are one-based, while coordinates in use the library's zero-based convention . Write . Use the Euclidean inner product and norm . Define the signal equivalence relation by or , let , and write . Its quotient distance is
Use data space with metric The fixed relabeling identifies -indexed data with the library's zero-based ; is a singleton. Define the real analysis map by The amplitude map is , while the intensity map is A finite real measurement family performs phase retrieval when is injective, equivalently when the induced amplitude map is injective. The quotient distance, both induced maps, and the data metric are well defined as verified below.
The diagram records the identity , where is coordinatewise squaring. It distinguishes signed linear measurements, amplitudes, and intensities; no proof relies on the diagram.
diagram failed to render:
\mathbb R^d \arrow[r,"T_\Phi"] \arrow[d,"q"'] & \mathbb R^{[m]} \arrow[d,"S"] \\
Q_d \arrow[r,"\mathcal I_\Phi"'] & [0,\infty)^mDefinition references
Forward maps and target-class spaces
Identifiability modulo a target equivalence
Minimum of a finite set of real numbers
The real order used to attain this two-point minimum
Euclidean inner product and norm
Euclidean metrics on finite real coordinate spaces
Radu Balan, real phase retrieval and complement property, §3.2
Depends on
- Inverse-problem models and solution classes
- Identifiability and stability moduli
- Maximum and minimum of a set
- Ordered field
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- $\mathbb{R}^n$ as the set of functions $n \to \mathbb{R}$, and $d_1$, $d_2$, $d_\infty$ are metrics on it
Used by
- Finite sign enumeration for real phase retrieval Algorithm
- The sharp real phase-retrieval count for full-spark measurements Corollary
- A two-vector real family with a failed partition and an ambiguous pair Counterexample
- Complement property for a real finite measurement family Definition
- Full-spark real measurement families Definition
- A two-dimensional three-vector full-spark real frame Example
- The real sign quotient and its induced measurement maps Lemma
- Correctness and amplitude-residual objective of finite sign enumeration Theorem
- Real phase retrieval is equivalent to the complement property Theorem
Dependency tree · two levels
30 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
- Radu Balan, Pete Casazza, and Dan Edidin, On signal reconstruction without phase, Applied and Computational Harmonic Analysis 20(3) (2006), arXiv:math/0412411 (standard reference, not scraped)
- Philipp Grohs, Sarah Koppensteiner, and Martin Rathmair, Phase Retrieval: Uniqueness and Stability, arXiv:1901.07911v2 (standard reference, not scraped)
- Radu Balan, Frames and Phaseless Reconstruction, full lecture notes (2015) (standard reference, not scraped)