The Paulsen problem for nearly equal norm Parseval frames

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Let V=(v1,…,vn)V=(v_1,\dots,v_n) be an ϵ\epsilon-nearly equal norm Parseval frame in Rd\mathbb R^d, meaning

(1−ϵ)I⪯∑i=1nviviT⪯(1+ϵ)I(1-\epsilon)I\preceq\sum_{i=1}^n v_i v_i^T\preceq(1+\epsilon)I

and

(1−ϵ)dn≤∥vi∥22≤(1+ϵ)dn(1-\epsilon)\frac dn\leq\|v_i\|_2^2\leq(1+\epsilon)\frac dn

for every ii. Let F\mathcal F be the set of equal norm Parseval frames, and for two sequences V=(v1,…,vn)V=(v_1,\dots,v_n) and W=(w1,…,wn)W=(w_1,\dots,w_n) define

dist⁡2(V,W)=∑i=1n∥vi−wi∥2.\operatorname{dist}^2(V,W)=\sum_{i=1}^n\|v_i-w_i\|^2.

Paulsen problem. For every ϵ\epsilon-nearly equal norm Parseval frame VV, is

inf⁡W∈Fdist⁡2(V,W)\inf_{W\in\mathcal F}\operatorname{dist}^2(V,W)

bounded by a fixed polynomial in ϵ\epsilon and dd?

The problem was a major open question in frame theory, but the supplied context states that Kwok, Lau, Lee and Ramachandran had already proved a polynomial bound, and that the paper gives the improved bound O(ϵd2)O(\epsilon d^2). Thus the conjecture is resolved.

References

Primary source

Linus Hamilton and Ankur Moitra, “The Paulsen Problem Made Simple”, arXiv:1809.04726 (2019).

Progress summary

Refreshed
Claimed solved

A published proof claims to settle the conjecture, a later proof sharply improves the bound, and a probabilistic result gives a stronger typical-case estimate.

The Paulsen problem asks whether approximate Parseval frames can be changed into exactly equal-norm Parseval frames at polynomial squared distance. Kwok, Lau, Lee, and Ramachandran announced an affirmative solution in 2017; Hamilton and Moitra later gave a simpler proof and improved the estimate.

Known results

  • Hadwin: compactness proves existence of a Paulsen function.
  • Casazza: the bound is independent of nn, with lower bound f(ε,n,d)≥ε2df(\varepsilon,n,d)\geq\varepsilon^2d.
  • Kwok, Lau, Lee, and Ramachandran, 2017: dist⁡2≤O(εd13/2)\operatorname{dist}^2\leq O(\varepsilon d^{13/2}).
  • Hamilton and Moitra, 2018: dist⁡2≤20εd2\operatorname{dist}^2\leq20\varepsilon d^2; the known lower bound is Ω(εd)\Omega(\varepsilon d).

May 2026 probabilistic improvement

A 2026 preprint proves a high-probability bound of order O(ε2d)O(\varepsilon^2d) for uniformly random nearly equal-norm frames. This improves the typical-case estimate, not the best general deterministic bound, which remains 20εd220\varepsilon d^2; narrowing the deterministic gap to the Ω(εd)\Omega(\varepsilon d) lower bound remains open.

Current status (as of September 2026): The existence question is settled by claimed published proofs, with deterministic bound O(εd2)O(\varepsilon d^2) and a stronger random-case estimate, while the optimal deterministic dependence between Ω(εd)\Omega(\varepsilon d) and O(εd2)O(\varepsilon d^2) remains open.

Sources

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