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Lemma 1.2: θS,S′≤δS+S′≤θS,S′+max⁡(δS,δS′)\theta_{S,S'} \le \delta_{S+S'} \le \theta_{S,S'} + \max(\delta_S, \delta_{S'})θS,S′​≤δS+S′​≤θS,S′​+max(δS​,δS′​)

Proved
CandesTao.Decoding.theta_le_delta_le_theta_add_max

by naimengye · Sep 30, 2026 · Mathlib 0df444a (Lean v4.33.1)

compressed-sensingerror-correcting-codesl1-minimizationlinear-programmingrestricted-isometrysparse-recovery

Let FFF be a real p×mp \times mp×m matrix with restricted isometry constants δS\delta_SδS​ and restricted orthogonality constants θS,S′\theta_{S,S'}θS,S′​ (Definition 1.1). For all integers S,S′≥1S, S' \ge 1S,S′≥1 with S+S′≤mS + S' \le mS+S′≤m,

θS,S′  ≤  δS+S′  ≤  θS,S′+max⁡(δS,δS′).\theta_{S,S'} \;\le\; \delta_{S+S'} \;\le\; \theta_{S,S'} + \max(\delta_S, \delta_{S'}).θS,S′​≤δS+S′​≤θS,S′​+max(δS​,δS′​).

The lemma shows that the isometry constants δ\deltaδ alone control the orthogonality constants θ\thetaθ, the cosine of the principal angle between the spans of two disjoint sparse sets of columns. This is why exact reconstruction can be guaranteed from knowledge of the δ\deltaδ numbers only: the hypothesis δS+θS,S+θS,2S<1\delta_S + \theta_{S,S} + \theta_{S,2S} < 1δS​+θS,S​+θS,2S​<1 of Theorem 1.4 is implied by δS+δ2S+δ3S<1\delta_S + \delta_{2S} + \delta_{3S} < 1δS​+δ2S​+δ3S​<1 and implies δ2S<1\delta_{2S} < 1δ2S​<1.

Formalization Note The hypotheses S,S′≥1S, S' \ge 1S,S′≥1 and S+S′≤mS + S' \le mS+S′≤m are the domain on which Definition 1.1 defines δS+S′\delta_{S+S'}δS+S′​ and θS,S′\theta_{S,S'}θS,S′​; the constants themselves are total functions of S,S′S, S'S,S′.

Preamble
import Definitions.Def_CandesTao_Decoding_RestrictedIsometry
Formal statement
namespace CandesTao.Decoding
theorem theta_le_delta_le_theta_add_max {p m : ℕ} (F : Matrix (Fin p) (Fin m) ℝ) (S S' : ℕ)
    (hS : 1 ≤ S) (hS' : 1 ≤ S') (hSS' : S + S' ≤ m) :
    restrictedOrthogonalityConst F S S' ≤ restrictedIsometryConst F (S + S') ∧
    restrictedIsometryConst F (S + S') ≤
      restrictedOrthogonalityConst F S S' +
        max (restrictedIsometryConst F S) (restrictedIsometryConst F S') := by sorry
end CandesTao.Decoding
Source
Candès--Tao 2005, Decoding by Linear Programming, IEEE Trans. Inform. Theory 51(12):4203-4215, doi:10.1109/TIT.2005.858979; arXiv:math/0502327v1 (https://arxiv.org/abs/math/0502327), p. 5, Lemma 1.2 (proved in Section 2.3, pp. 12-13)
Read-back

What the Lean code literally says, in plain math · claude-fable-5-1

Read-back of theta_le_delta_le_theta_add_max

Binders and hypotheses. Fix natural numbers ppp and mmm (implicit; a priori unrestricted, so p=0p = 0p=0 is allowed), a real p×mp \times mp×m matrix F=(Fij)F = (F_{ij})F=(Fij​) with rows indexed by {0,…,p−1}\{0,\dots,p-1\}{0,…,p−1} and columns by {0,…,m−1}\{0,\dots,m-1\}{0,…,m−1}, and natural numbers S,S′S, S'S,S′. Three hypotheses are assumed:

1≤S,1≤S′,S+S′≤m.1 \le S, \qquad 1 \le S', \qquad S + S' \le m .1≤S,1≤S′,S+S′≤m.

Consequently m≥2m \ge 2m≥2. No other assumption is made: FFF is an arbitrary real matrix (no normalization of columns, no rank or size condition), and nothing further constrains ppp, SSS, S′S'S′.

Notation unfolded from the bundle's definitions.

  • For c∈Rmc \in \mathbb{R}^mc∈Rm and T⊆{0,…,m−1}T \subseteq \{0,\dots,m-1\}T⊆{0,…,m−1}, "ccc is supported on TTT" means cj=0c_j = 0cj​=0 for every j∉Tj \notin Tj∈/T. It does not require cj≠0c_j \neq 0cj​=0 for j∈Tj \in Tj∈T: the zero vector is supported on every TTT (including T=∅T = \varnothingT=∅), and it is the only vector supported on ∅\varnothing∅.
  • ∥x∥2:=∑ixi2\|x\|_2 := \sqrt{\sum_i x_i^2}∥x∥2​:=∑i​xi2​​ for a real vector xxx (in Rm\mathbb{R}^mRm or Rp\mathbb{R}^pRp); the radicand is always ≥0\ge 0≥0, so this is the ordinary square root and ∥x∥22=∑ixi2\|x\|_2^2 = \sum_i x_i^2∥x∥22​=∑i​xi2​. When p=0p = 0p=0, the unique vector of R0\mathbb{R}^0R0 has ∥⋅∥2=0\|\cdot\|_2 = 0∥⋅∥2​=0.
  • Fc∈RpFc \in \mathbb{R}^pFc∈Rp is the usual product, (Fc)i=∑j=0m−1Fij cj(Fc)_i = \sum_{j=0}^{m-1} F_{ij}\,c_j(Fc)i​=∑j=0m−1​Fij​cj​, and ⟨u,v⟩:=∑i=0p−1uivi\langle u, v\rangle := \sum_{i=0}^{p-1} u_i v_i⟨u,v⟩:=∑i=0p−1​ui​vi​ is the standard dot product on Rp\mathbb{R}^pRp.
  • ∣T∣|T|∣T∣ is the number of elements of TTT; "TTT and T′T'T′ are disjoint" means T∩T′=∅T \cap T' = \varnothingT∩T′=∅.

Restricted isometry constant δk(F)\delta_k(F)δk​(F). For a natural number kkk, let Δk(F)\Delta_k(F)Δk​(F) be the set of real numbers δ\deltaδ such that

  • δ≥0\delta \ge 0δ≥0, and
  • for every subset T⊆{0,…,m−1}T \subseteq \{0,\dots,m-1\}T⊆{0,…,m−1} with ∣T∣≤k|T| \le k∣T∣≤k and every c∈Rmc \in \mathbb{R}^mc∈Rm supported on TTT,
(1−δ) ∥c∥22  ≤  ∥Fc∥22and∥Fc∥22  ≤  (1+δ) ∥c∥22.(1-\delta)\,\|c\|_2^2 \;\le\; \|Fc\|_2^2 \qquad\text{and}\qquad \|Fc\|_2^2 \;\le\; (1+\delta)\,\|c\|_2^2 .(1−δ)∥c∥22​≤∥Fc∥22​and∥Fc∥22​≤(1+δ)∥c∥22​.

Then δk(F):=inf⁡Δk(F)\delta_k(F) := \inf \Delta_k(F)δk​(F):=infΔk​(F). Inside this definition TTT ranges over all subsets of size at most kkk, including T=∅T = \varnothingT=∅, and ccc over all vectors vanishing off TTT, including c=0c = 0c=0 (for which both inequalities read 0≤00 \le 00≤0). Nothing relates kkk to mmm here: if k≥mk \ge mk≥m, every TTT qualifies and the constraint runs over all of Rm\mathbb{R}^mRm.

Restricted orthogonality constant θk,k′(F)\theta_{k,k'}(F)θk,k′​(F). For natural numbers k,k′k, k'k,k′, let Θk,k′(F)\Theta_{k,k'}(F)Θk,k′​(F) be the set of real numbers θ\thetaθ such that

  • θ≥0\theta \ge 0θ≥0, and
  • for all subsets T,T′⊆{0,…,m−1}T, T' \subseteq \{0,\dots,m-1\}T,T′⊆{0,…,m−1} with T∩T′=∅T \cap T' = \varnothingT∩T′=∅, ∣T∣≤k|T| \le k∣T∣≤k, ∣T′∣≤k′|T'| \le k'∣T′∣≤k′, and all c,c′∈Rmc, c' \in \mathbb{R}^mc,c′∈Rm with ccc supported on TTT and c′c'c′ supported on T′T'T′,
∣⟨Fc, Fc′⟩∣  ≤  θ ∥c∥2 ∥c′∥2.\bigl|\langle Fc,\, Fc'\rangle\bigr| \;\le\; \theta\,\|c\|_2\,\|c'\|_2 .​⟨Fc,Fc′⟩​≤θ∥c∥2​∥c′∥2​.

Then θk,k′(F):=inf⁡Θk,k′(F)\theta_{k,k'}(F) := \inf \Theta_{k,k'}(F)θk,k′​(F):=infΘk,k′​(F). Either of T,T′T, T'T,T′ may be empty, and ccc or c′c'c′ may be zero.

Meaning of inf⁡\infinf. Both infima are Mathlib's infimum of a set of real numbers, which carries a convention: if the set is empty, or is nonempty but not bounded below, the value is 000; otherwise it is the greatest lower bound of the set. Every member of Δk(F)\Delta_k(F)Δk​(F) and of Θk,k′(F)\Theta_{k,k'}(F)Θk,k′​(F) is ≥0\ge 0≥0 by the first clause, so both sets are bounded below by 000, and the fallback 000 could only arise from emptiness. (For a fixed finite real matrix every sufficiently large real belongs to each set — e.g. any δ≥max⁡{1,∥F∥op2−1}\delta \ge \max\{1, \|F\|_{\mathrm{op}}^2 - 1\}δ≥max{1,∥F∥op2​−1} lies in Δk(F)\Delta_k(F)Δk​(F) and any θ≥∥F∥op2\theta \ge \|F\|_{\mathrm{op}}^2θ≥∥F∥op2​ lies in Θk,k′(F)\Theta_{k,k'}(F)Θk,k′​(F) by Cauchy–Schwarz — so the sets are nonempty and each constant is a genuine greatest lower bound.)

The assertion. Under the hypotheses 1≤S1 \le S1≤S, 1≤S′1 \le S'1≤S′, S+S′≤mS + S' \le mS+S′≤m, both of the following non-strict inequalities hold (the statement is their conjunction):

θS,S′(F)  ≤  δS+S′(F)\theta_{S,S'}(F) \;\le\; \delta_{S+S'}(F)θS,S′​(F)≤δS+S′​(F)

and

δS+S′(F)  ≤  θS,S′(F)  +  max⁡{δS(F),  δS′(F)}.\delta_{S+S'}(F) \;\le\; \theta_{S,S'}(F) \;+\; \max\bigl\{\delta_S(F),\; \delta_{S'}(F)\bigr\}.δS+S′​(F)≤θS,S′​(F)+max{δS​(F),δS′​(F)}.

Here S+S′S + S'S+S′ is the ordinary sum of natural numbers and max⁡\maxmax is the maximum of two real numbers.

Edge cases made explicit.

  • p=0p = 0p=0 is permitted: Rp\mathbb{R}^pRp is the zero space, FcFcFc is the empty vector, so ∥Fc∥2=0\|Fc\|_2 = 0∥Fc∥2​=0 and ⟨Fc,Fc′⟩=0\langle Fc, Fc'\rangle = 0⟨Fc,Fc′⟩=0 for all c,c′c, c'c,c′, and the constants are whatever the definitions above give from those values.
  • The hypotheses force m≥S+S′≥2m \ge S + S' \ge 2m≥S+S′≥2, so m∈{0,1}m \in \{0, 1\}m∈{0,1} is excluded, and S,S′≤m−1S, S' \le m-1S,S′≤m−1. The case S+S′=mS + S' = mS+S′=m is included; there δS+S′(F)\delta_{S+S'}(F)δS+S′​(F) quantifies over every subset TTT of {0,…,m−1}\{0,\dots,m-1\}{0,…,m−1}, i.e. over all c∈Rmc \in \mathbb{R}^mc∈Rm.
  • The hypotheses are jointly satisfiable (e.g. S=S′=1S = S' = 1S=S′=1, m=2m = 2m=2), so the statement is not vacuous.
  • All inequalities in the statement and in the defining sets are non-strict (≤\le≤), and all sets TTT include the empty set and all vectors include 000.
  • The bundle's other definitions (ℓ1\ell^1ℓ1 norm, columns, column span) do not occur in this statement.
Human review
  • Endorsed by Shuze Chen · Oct 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by naimengye · Oct 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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