Math 2.0

Functional analysis Definition

Approximate identity

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Definition

Let AA be a Banach algebra, not necessarily with a unit. A left approximate identity of AA is a net (eλ)λ∈Λ(e_\lambda)_{\lambda \in \Lambda} in AA such that ∥eλa−a∥→0\norm{e_\lambda a - a} \to 0 for every a∈Aa \in A. A right approximate identity is defined the same way with aeλa e_\lambda in place of eλae_\lambda a. An approximate identity (or two-sided approximate identity) is a net that is both a left and a right approximate identity. It is bounded if sup⁡λ∥eλ∥<∞\sup_\lambda \norm{e_\lambda} < \infty.

Remarks

Example: let A=C0(ℝ)A = C_0(\R), the continuous functions on ℝ\R that tend to 00 at infinity, with pointwise product and the sup norm. For n≥1n \ge 1 let en∈Ae_n \in A be continuous with 0≤en≤10 \le e_n \le 1, en=1e_n = 1 on [−n,n][-n, n] and en=0e_n = 0 outside [−n−1,n+1][-n-1, n+1]. For f∈Af \in A, ∥enf−f∥∞≤sup⁡∣x∣>n∣f(x)∣→0\norm{e_n f - f}_\infty \le \sup_{\abs{x} > n} \abs{f(x)} \to 0. So (en)(e_n) is a bounded approximate identity, with ∥en∥=1\norm{e_n} = 1, although AA has no unit.

Non-example: in L1(ℝ)L^1(\R) with convolution, let en=12n𝟏[−n,n]e_n = \tfrac{1}{2n} \mathbf{1}_{[-n, n]}. For f∈L1(ℝ)f \in L^1(\R), ∣(en∗f)(x)∣≤∥f∥1/(2n)\abs{(e_n * f)(x)} \le \norm{f}_1 / (2n), so en∗f→0e_n * f \to 0 uniformly. If also en∗f→fe_n * f \to f in L1L^1, a subsequence would converge to ff almost everywhere, so f=0f = 0. Thus the convergence condition fails for every f≠0f \ne 0. Spikes un=n2𝟏[−1/n,1/n]u_n = \tfrac{n}{2} \mathbf{1}_{[-1/n, 1/n]} do give a bounded approximate identity of L1(ℝ)L^1(\R).

A unit 11 of AA gives the constant approximate identity eλ=1e_\lambda = 1. Every C*-algebra has an approximate identity of positive elements of norm at most 11.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Approximate_identity
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Changed2 November 2026

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