Hyers–Ulam stability
DefinitionDyadic approximants in Hyers' proof#✓fully proved
The dyadic approximants 2 ^ (-n) • f (2 ^ n • x) used in Hyers' proof.
noncomputable def approx (f : E → F) (x : E) (n : ℕ) : F :=
((2 : ℝ) ^ n)⁻¹ • f ((2 : ℝ) ^ n • x)
Used by 1
TheoremNorm of a natural-number multiple#✓fully proved
Norm of a natural-number multiple in a real normed space.
theorem norm_nsmul_eq {G : Type*} [NormedAddCommGroup G] [NormedSpace ℝ G]
(n : ℕ) (x : G) : ‖n • x‖ = (n : ℝ) * ‖x‖
Used by 2
TheoremHyers' theorem (Hyers–Ulam stability of the Cauchy equation)#✓fully proved
If
f : E → F between real normed spaces, with F complete, satisfies
‖f (x + y) - f x - f y‖ ≤ δ for all x, y, then there is an additive map
A : E →+ F with ‖f x - A x‖ ≤ δ for all x. The bound δ is sharp:
for f x = x + c on ℝ the defect is ‖c‖ and the best additive
approximant is the identity, at distance exactly ‖c‖.
theorem exists_addMonoidHom_of_additive_defect {f : E → F} {δ : ℝ}
(hf : ∀ x y, ‖f (x + y) - f x - f y‖ ≤ δ) :
∃ A : E →+ F, ∀ x, ‖f x - A x‖ ≤ δ
Uses 1 · Used by 2
TheoremUniqueness in Hyers' theorem#✓fully proved
Two additive maps both within δ of
the same f are equal: their difference is additive, hence n-homogeneous,
while staying bounded by 2 * δ.
theorem eq_of_forall_norm_sub_le {f : E → F} {δ : ℝ}
{A₁ A₂ : E →+ F} (h₁ : ∀ x, ‖f x - A₁ x‖ ≤ δ)
(h₂ : ∀ x, ‖f x - A₂ x‖ ≤ δ) : A₁ = A₂
Uses 1
TheoremHyers–Ulam stability of Jensen's functional equation#✓fully proved
If the midpoint
(Jensen) defect ‖f ((1/2) • (x + y)) - (1/2) • (f x + f y)‖ is ≤ δ for
all x, y, then f is within 4 * δ of an additive map plus the constant
f 0. The factor 4 comes from doubling the two Jensen estimates at
(x + y, 0) and (x, y).
theorem exists_addMonoidHom_of_jensen_defect {f : E → F} {δ : ℝ}
(hf : ∀ x y, ‖f ((1 / 2 : ℝ) • (x + y)) - (1 / 2 : ℝ) • (f x + f y)‖ ≤ δ) :
∃ A : E →+ F, ∀ x, ‖f x - A x - f 0‖ ≤ 4 * δ
Uses 1
TheoremContinuous Hyers–Ulam stability#✓fully proved
If f is continuous at 0 (in
particular if f itself is continuous), the additive approximant from
Hyers' theorem is continuous, hence a continuous real-linear map. The proof:
continuity of f at 0 bounds f on a small ball, so the approximant is
bounded on that ball, and an additive map bounded on a ball is continuous
at 0 by the dyadic scaling argument.
theorem exists_continuousLinearMap_of_additive_defect_of_continuousAt
{f : E → F} {δ : ℝ} (hδ : 0 ≤ δ) (hf : ∀ x y, ‖f (x + y) - f x - f y‖ ≤ δ)
(hcont : ContinuousAt f 0) :
∃ A : E →L[ℝ] F, ∀ x, ‖f x - A x‖ ≤ δ
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