The Wiener algebra and Wiener’s lemma

Jordan Bell
January 17, 2015

1 Introduction

Let 𝕋=ℝ/2⁢π⁢ℤ. For f∈L1⁢(𝕋) we define

∥f∥L1⁢(𝕋)=12⁢π⁢∫𝕋|f⁢(t)|⁢𝑑t.

For f,g∈L1⁢(𝕋), we define

(f*g)⁢(t)=12⁢π⁢∫𝕋f⁢(τ)⁢g⁢(t-τ)⁢𝑑τ,t∈𝕋.

f*g∈L1⁢(𝕋), and satisfies Young’s inequality

∥f*g∥L1⁢(𝕋)≤∥f∥L1⁢(𝕋)⁢∥g∥L1⁢(𝕋).

With convolution as the operation, L1⁢(𝕋) is a commutative Banach algebra.

For f∈L1⁢(𝕋), we define f^:ℤ→ℂ by

f^⁢(k)=12⁢π⁢∫𝕋f⁢(t)⁢e-i⁢k⁢t⁢𝑑t,k∈ℤ.

We define c0⁢(ℤ) to be the collection of those F:ℤ→ℂ such that |F⁢(k)|→0 as |k|→∞. For f∈L1⁢(𝕋), the Riemann-Lebesgue lemma tells us that f^∈c0⁢(ℤ).

We define ℓ1⁢(ℤ) to be the set of functions F:ℤ→ℂ such that

∥F∥ℓ1⁢(ℤ)=∑k∈ℤ|F⁢(k)|.

For F,G∈ℓ1⁢(ℤ), we define

(F*G)⁢(k)=∑j∈ℤF⁢(j)⁢G⁢(k-j).

F*G∈ℓ1⁢(ℤ), and satisfies Young’s inequality

∥F*G∥ℓ1⁢(ℤ)≤∥F∥ℓ1⁢(ℤ)⁢∥G∥ℓ1⁢(ℤ).

ℓ1⁢(ℤ) is a commutative Banach algebra, with unity

F⁢(k)={1k=0,0k≠0.

For f∈L1⁢(𝕋) and n≥0 we define Sn⁢(f)∈C⁢(𝕋) by

Sn⁢(f)⁢(t)=∑|k|≤nf^⁢(k)⁢ei⁢k⁢t,t∈𝕋.

For 0<α<1, we define Lipα⁢(𝕋) to be the collection of those functions f:𝕋→ℂ such that

supt∈𝕋,h≠0⁡|f⁢(t+h)-f⁢(t)||h|α<∞.

For f∈Lipα⁢(𝕋), we define

∥f∥Lipα⁢(𝕋)=∥f∥C⁢(𝕋)+supt∈𝕋,h≠0⁡|f⁢(t+h)-f⁢(t)||h|α.

2 Total variation

For f:𝕋→ℂ, we define

var(f)=sup{∑i=1n|f(ti)-f(ti-1)|:n≥1,0=t0<⋯<tn=2π}.

If var⁢(f)<∞ then we say that f is of bounded variation, and we define B⁢V⁢(𝕋) to be the set of functions 𝕋→ℂ of bounded variation. We define

∥f∥B⁢V⁢(𝕋)=supt∈𝕋⁡|f⁢(t)|+var⁢(f).

This is a norm on B⁢V⁢(𝕋), with which B⁢V⁢(𝕋) is a Banach algebra.11 1 N. L. Carothers, Real Analysis, p. 206, Theorem 13.4.

Theorem 1.

If f∈B⁢V⁢(𝕋), then

|f^⁢(n)|≤var⁢(f)2⁢π⁢|n|,n∈ℤ,n≠0.
Proof.

Integrating by parts,

f^⁢(n)=12⁢π⁢∫𝕋f⁢(t)⁢e-i⁢n⁢t⁢𝑑t=-12⁢π⁢∫𝕋e-i⁢n⁢t-i⁢n⁢𝑑f⁢(t)=12⁢π⁢i⁢n⁢∫𝕋e-i⁢n⁢t⁢𝑑f⁢(t),

hence

|f^⁢(n)|≤12⁢π⁢|n|⁢var⁢(f).

∎

3 Absolutely convergent Fourier series

Suppose that f∈L1⁢(𝕋) and that f^∈ℓ1⁢(ℤ). For n≥m,

∥Sn⁢(f)-Sm⁢(f)∥C⁢(𝕋)=supt∈𝕋⁡|∑m<|k|≤nf^⁢(k)⁢ei⁢k⁢t|≤∑m<|k|≤n|f^⁢(k)|,

and because f^∈ℓ1⁢(ℤ) it follows that Sn⁢(f) converges to some g∈C⁢(𝕋). We check that f⁢(t)=g⁢(t) for almost all t∈𝕋.

We define A⁢(𝕋) to be the collection of those f∈C⁢(𝕋) such that f^∈ℓ1⁢(ℤ), and we define

∥f∥A⁢(𝕋)=∥f^∥ℓ1⁢(ℤ).

A⁢(𝕋) is a commutative Banach algebra, with unity t↦1, and the Fourier transform is an isomorphism of Banach algebras ℱ:A⁢(𝕋)→ℓ1⁢(ℤ). We call A⁢(𝕋) the Wiener algebra. The inclusion map A⁢(𝕋)⊂C⁢(𝕋) has norm 1.

Theorem 2.

If f:𝕋→ℂ is absolutely continuous, then

f^⁢(k)=o⁢(k-1),|k|→∞.
Proof.

Because f is absolutely continuous, the fundamental theorem of calculus tells us that f′∈L1⁢(𝕋). Doing integration by parts, for k∈ℤ we have

ℱ⁢(f′)⁢(k) =12⁢π⁢∫𝕋f′⁢(t)⁢e-i⁢k⁢t⁢𝑑t
=12⁢π⁢f⁢(t)⁢e-i⁢k⁢t|02⁢π-12⁢π⁢∫𝕋f⁢(t)⁢(-i⁢k⁢e-i⁢k⁢t)⁢𝑑t
=i⁢k⁢ℱ⁢(f)⁢(k).

The Riemann-Lebesgue lemma tells us that ℱ⁢(f′)⁢(k)=o⁢(1), so

ℱ⁢(f)⁢(k)=o⁢(1k),|k|→∞.

∎

Theorem 3.

If f:𝕋→ℂ is absolutely continuous and f′∈L2⁢(𝕋), then

∥f∥A⁢(𝕋)≤∥f∥L1⁢(𝕋)+(2⁢∑k=1∞k-2)1/2⁢∥f′∥L2⁢(𝕋).
Proof.

First,

|f^⁢(0)|=|12⁢π⁢∫𝕋f⁢(t)⁢𝑑t|≤∥f∥L1⁢(𝕋).

Next, because f is absolutely continuous, by the fundamental theorem of calculus we have f′∈L1⁢(𝕋), and for k∈ℤ,

ℱ⁢(f′)⁢(k)=i⁢k⁢ℱ⁢(f)⁢(k).

Using the Cauchy-Schwarz inequality, and since ℱ⁢(f′)⁢(0)=0,

∥f∥A⁢(𝕋) =|f^⁢(0)|+∑k≠0|f^⁢(k)|
=|f^⁢(0)|+∑k≠0|k|-1⁢|ℱ⁢(f′)⁢(k)|
≤∥f∥L1⁢(𝕋)+(∑k≠0|k|-2)1/2⁢(∑k≠0|ℱ⁢(f′)⁢(k)|2)1/2
=∥f∥L1⁢(𝕋)+(2⁢∑k=1∞k-2)1/2⁢∥ℱ⁢(f′)∥ℓ2⁢(ℤ).

By Parseval’s theorem we have ∥ℱ⁢(f′)∥ℓ2⁢(ℤ)=∥f′∥L2⁢(𝕋), completing the proof. ∎

We now prove that if α>12, then Lipα⁢(𝕋)⊂A⁢(𝕋), and the inclusion map is a bounded linear operator.22 2 Yitzhak Katznelson, An Introduction to Harmonic Analysis, third ed., p. 34, Theorem 6.3.

Theorem 4.

If α>12, then Lipα⁢(𝕋)⊂A⁢(𝕋), and for any f∈Lipα⁢(𝕋) we have

∥f∥A⁢(𝕋)≤cα⁢∥f∥Lipα⁢(𝕋),

with

cα=1+21/2⁢(2⁢π3)α⁢11-212-α.
Proof.

For f:𝕋→ℂ and h∈ℝ, we define

fh⁢(t)=f⁢(t-h),t∈𝕋,

which satisfies, for n∈ℤ,

ℱ⁢(fh)⁢(n) =12⁢π⁢∫𝕋f⁢(t-h)⁢e-i⁢n⁢t⁢𝑑t
=12⁢π⁢∫𝕋f⁢(t)⁢e-i⁢n⁢(t+h)⁢𝑑t
=e-i⁢n⁢h⁢ℱ⁢(f)⁢(n).

Thus

ℱ⁢(fh-f)⁢(n)=(e-i⁢n⁢h-1)⁢f^⁢(n),n∈ℤ. (1)

For m≥0 and for n∈ℤ such that 2m≤|n|<2m+1, let

hm=2⁢π3⋅2-m.

Then

2⁢π3=2m⋅2⁢π3⋅2-m≤|n⁢hm|<2m+1⋅2⁢π3⋅2-m=4⁢π3.

If n>0 this implies that

π3≤n⁢hm2<2⁢π3

and so

|e-i⁢n⁢hm-1|=2⁢sin⁡n⁢hm2≥2⁢sin⁡π3=3,

and if n<0 this implies that

-2⁢π3<n⁢hm2≤-π3

and so

|e-i⁢n⁢hm-1|≥3.

This gives us

∑2m≤|n|<2m+1|f^⁢(n)|2 ≤∑2m≤|n|<2m+13⁢|f^⁢(n)|2
≤∑2m≤|n|<2m+1|e-i⁢n⁢hm-1|2⁢|f^⁢(n)|2
≤∑n∈ℤ|e-i⁢n⁢hm-1|2⁢|f^⁢(n)|2.

Using (1) and Parseval’s theorem we have

∑n∈ℤ|e-i⁢n⁢hm-1|2⁢|f^⁢(n)|2=∥ℱ⁢(fhm-f)∥ℓ2⁢(ℤ)2=∥fhm-f∥L2⁢(𝕋)2,

and thus

∑2m≤|n|<2m+1|f^⁢(n)|2≤∥fhm-f∥L2⁢(𝕋)2.

Furthermore, for g∈L∞⁢(𝕋) we have ∥g∥L2⁢(𝕋)≤∥g∥L∞⁢(𝕋), so

∑2m≤|n|<2m+1|f^⁢(n)|2 ≤∥fhm-f∥L∞⁢(𝕋)2
≤∥f∥Lipα⁢(𝕋)2⋅hm2⁢α
=(2⁢π3⋅2m)2⁢α⁢∥f∥Lipα⁢(𝕋)2.

By the Cauchy-Schwarz inequality, because there are ≤2m+1 nonzero terms in ∑2m≤|n|<2m+1|f^⁢(n)|,

∑2m≤|n|<2m+1|f^⁢(n)| ≤(2m+1)1/2⁢(∑2m≤|n|<2m+1|f^⁢(n)|2)1/2
≤2m+12⁢(2⁢π3⋅2m)α⁢∥f∥Lipα⁢(𝕋)
=2m⁢(12-α)⋅21/2⁢(2⁢π3)α⋅∥f∥Lipα⁢(𝕋).

Then, since α>12,

∑n∈ℤ|f^⁢(n)| =|f^⁢(0)|+∑m=0∞∑2m≤|n|<2m+1|f^⁢(n)|
≤|f^⁢(0)|+∑m=0∞2m⁢(12-α)⋅21/2⁢(2⁢π3)α⋅∥f∥Lipα⁢(𝕋)
=|f^⁢(0)|+21/2⁢(2⁢π3)α⁢∥f∥Lipα⁢(𝕋)⁢∑m=0∞2m⁢(12-α)
=|f^⁢(0)|+21/2⁢(2⁢π3)α⁢∥f∥Lipα⁢(𝕋)⁢11-212-α

As

|f^⁢(0)|≤∥f∥L1⁢(𝕋)≤∥f∥L∞⁢(𝕋)≤∥f∥Lipα⁢(𝕋),

we have for all f∈Lipα⁢(𝕋) that

∑n∈ℤ|f^⁢(n)|≤cα⁢∥f∥Lipα⁢(𝕋),

completing the proof. ∎

We now prove that if α>0, then B⁢V⁢(𝕋)∩Lipα⁢(𝕋)⊂A⁢(𝕋).33 3 Yitzhak Katznelson, An Introduction to Harmonic Analysis, third ed., p. 35, Theorem 6.4.

Theorem 5.

If α>0 and f∈B⁢V⁢(𝕋)∩Lipα⁢(𝕋), then

∥fh-f∥L2⁢(𝕋)2≤12⁢π⁢h1+α⁢∥f∥Lipα⁢(𝕋)⁢var⁢(f),h>0.

and f∈A⁢(𝕋).

Proof.

For N≥1 and h=2⁢πN,

∥fh-f∥L2⁢(𝕋)2 =12⁢π⁢∫02⁢π|fh⁢(t)-f⁢(t)|2⁢𝑑t
=12⁢π⁢∑j=1N∫(j-1)⁢hj⁢h|fh⁢(t)-f⁢(t)|2⁢𝑑t
=12⁢π⁢∑j=1N∫0h|fj⁢h⁢(t)-f(j-1)⁢h⁢(t)|2⁢𝑑t
=12⁢π⁢∫0h∑j=1N|fj⁢h⁢(t)-f(j-1)⁢h⁢(t)|2⁢d⁢t
≤12⁢π⁢∥fh-f∥L∞⁢(𝕋)⁢∫0h∑j=1N|fj⁢h⁢(t)-f(j-1)⁢h⁢(t)|⁢d⁢t
≤12⁢π⁢∥fh-f∥L∞⁢(𝕋)⁢∫0hvar⁢(f)⁢𝑑t.

As f∈Lipα⁢(𝕋), ∥fh-f∥L∞⁢(𝕋)≤hα⁢∥f∥Lipα⁢(𝕋), hence

∥fh-f∥L2⁢(𝕋)2≤12⁢π⁢h1+α⁢∥f∥Lipα⁢(𝕋)⁢var⁢(f).

∎

4 Wiener’s lemma

For k≥1, using the product rule (f⁢g)′=f′⁢g+f⁢g′ we check that Ck⁢(𝕋) is a Banach algebra with the norm

∥f∥Ck⁢(𝕋)=∑j=0k∥f(j)∥C⁢(𝕋).

If f∈Ck⁢(𝕋) and f⁢(t)≠0 for all t∈𝕋, then the quotient rule tells us that

(f-1)′⁢(t)=-f′⁢(t)f⁢(t)2,

using which we get 1f∈Ck⁢(𝕋). That is, if f∈Ck⁢(𝕋) does not vanish then f-1=1f∈Ck⁢(𝕋).

If B is a commutative unital Banach algebra, a multiplicative linear functional on B is a nonzero algebra homomorphism B→ℂ, and the collection ΔB of multiplicative linear functionals on B is called the maximal ideal space of B. The Gelfand transform of f∈B is Γ⁢(f):ΔB→ℂ defined by

Γ⁢(f)⁢(h)=h⁢(f),h∈ΔB.

It is a fact that f∈B is invertible if and only if h⁢(f)≠0 for all h∈ΔB, i.e., f∈B is invertible if and only if Γ⁢(f) does not vanish.

We now prove that if f∈A⁢(𝕋) and does not vanish, then f is invertible in A⁢(𝕋). We call this statement Wiener’s lemma.44 4 Yitzhak Katznelson, An Introduction to Harmonic Analysis, third ed., p. 239, Theorem 2.9.

Theorem 6 (Wiener’s lemma).

If f∈A⁢(𝕋) and f⁢(t)≠0 for all t∈𝕋, then 1/f∈A⁢(𝕋).

Proof.

Let w:A⁢(𝕋)→ℂ be a multiplicative linear functional. The fact that w is a multiplicative linear functional implies that ∥w∥=1. Define u⁢(t)=ei⁢t, t∈𝕋, for which ∥u∥A⁢(𝕋)=1. We define λ=w⁢(u), which satisfies

|λ|≤∥w∥⁢∥u∥A⁢(𝕋)=1

and because ∥u-1∥A⁢(𝕋)=1 we have λ-1=w⁢(u-1) and

|λ-1|≤∥w∥⁢∥u-1∥A⁢(𝕋)=1,

hence |λ|=1. Then there is some tw∈𝕋 such that λ=ei⁢tw. For n∈ℤ,

w⁢(un)=λn=ei⁢n⁢tw.

If P⁢(t)=∑|n|≤Nan⁢ei⁢n⁢t is a trigonometric polynomial, then

w⁢(P)=w⁢(∑|n|≤Nan⁢un)=∑|n|≤Nan⁢w⁢(u)n=∑|n|≤Nan⁢ei⁢n⁢tw=P⁢(tw). (2)

For g∈A⁢(𝕋), if ϵ>0, then there is some N such that ∥g-SN⁢(g)∥A⁢(𝕋)<ϵ. Using (2) and the fact that ∥g∥C⁢(𝕋)≤∥g∥A⁢(𝕋),

|w⁢(g)-g⁢(tw)| ≤|w⁢(g)-w⁢(SN⁢(g))|+|w⁢(SN⁢(g))-SN⁢(g)⁢(tw)|
+|SN⁢(g)⁢(tw)-g⁢(tw)|
=|w⁢(g-SN⁢(g))|+|SN⁢(g)⁢(tw)-f⁢(tw)|
≤∥w∥⁢∥g-SN⁢(g)∥A⁢(𝕋)+∥SN⁢(g)-g∥C⁢(𝕋)
≤∥w∥⁢∥g-SN⁢(g)∥A⁢(𝕋)+∥g-SN⁢(g)∥A⁢(𝕋)
<2⁢ϵ.

Because this is true for all ϵ>0, it follows that w⁢(g)=g⁢(tw).

Let Δ be the maximal ideal space of A⁢(𝕋). Then for w∈Δ there is some tw∈𝕋 such that w⁢(f)=f⁢(tw), hence, because f⁢(t)≠0 for all t∈𝕋,

Γ⁢(f)⁢(w)=w⁢(f)=f⁢(tw)≠0.

That is, Γ⁢(f) does not vanish, and therefore f is invertible in A⁢(𝕋). It is then immediate that f-1⁢(t)=1f⁢(t) for all t∈𝕋, completing the proof. ∎

The above proof of Wiener’s lemma uses the theory of the commutative Banach algebras. The following is a proof of the theorem that does not use the Gelfand transform.55 5 Karlheinz Gröchenig, Wiener’s Lemma: Theme and Variations. An Introduction to Spectral Invariance and Its Applications, p. 180, §5.2.4, in Brigitte Forster and Peter Massopust, eds., Four Short Courses on Harmonic Analysis, pp. 175–234.

Proof.

Because f∈A⁢(𝕋), f* defined by f*⁢(t)=f⁢(t)¯, t∈𝕋, belongs to A⁢(𝕋). Let

g=|f|2∥f∥C⁢(𝕋)2=f⁢f*∥f∥C⁢(𝕋)2∈A⁢(𝕋),

which satisfies 0<g⁢(t)≤1 for all t∈𝕋. As 1f=f*|f|2=f*∥f∥C⁢(𝕋)2⁢g, to show that 1/f∈A⁢(𝕋) it suffices to show that 1g∈A⁢(𝕋).

Because g is continuous and g⁢(t)≠0 for all t∈𝕋,

δ=inft∈𝕋⁡g⁢(t)>0;

if δ=1 then g=1, and indeed 1g∈A⁢(𝕋). Otherwise, ∥g-1∥C⁢(𝕋)=1-δ<1. This implies that g is invertible in the Banach algebra C⁢(𝕋) and that g-1=∑j=0∞(1-g)j in C⁢(𝕋). Let h=1-g∈A⁢(𝕋).

For ϵ>0, there is some N such that ∥h-SN⁢(h)∥A⁢(𝕋)<ϵ. Now, if P is a trigonometric polynomial of degree M then using the Cauchy-Schwarz inequality and Parseval’s theorem,

∥P∥A⁢(𝕋) =∥P^∥ℓ1⁢(ℤ)
≤(2⁢M+1)1/2⁢∥P^∥ℓ2⁢(ℤ)
=(2⁢M+1)1/2⁢∥P∥L2⁢(𝕋)
≤(2⁢M+1)1/2⁢∥P∥L∞⁢(𝕋).

Furthermore, for j≥1, Pj is a trigonometric polynomial of degree j⁢M. The binomial theorem tells us, with P=SN⁢(h) and r=h-P,

hk=(P+r)k=∑j=0k(kj)⁢Pj⁢rk-j,

and using this and ∥Pj∥A⁢(𝕋)≤(2⁢j⁢N+1)1/2⁢∥Pj∥L∞⁢(𝕋),

∥hk∥A⁢(𝕋) ≤∑j=0k(kj)⁢∥Pj∥A⁢(𝕋)⁢∥rk-j∥A⁢(𝕋)
≤∑j=0k(kj)⁢∥Pj∥A⁢(𝕋)⁢∥h-SN⁢(h)∥A⁢(𝕋)k-j
≤∑j=0k(kj)⁢(2⁢j⁢N+1)1/2⁢∥Pj∥L∞⁢(𝕋)⁢ϵk-j
≤(2⁢k⁢N+1)1/2⁢∑j=0k(kj)⁢∥P∥L∞⁢(𝕋)j⁢ϵk-j
=(2⁢k⁢N+1)1/2⁢(∥P∥L∞⁢(𝕋)+ϵ)k.

Because

∥P∥L∞⁢(𝕋) ≤∥h-SN⁢(h)∥L∞⁢(𝕋)+∥h∥L∞⁢(𝕋)
≤∥h-SN⁢(h)∥A⁢(𝕋)+∥h∥L∞⁢(𝕋)
<ϵ+∥⁢h∥L∞⁢(𝕋),

we have

∥hk∥A⁢(𝕋)≤(2⁢k⁢N+1)1/2⁢(∥h∥L∞⁢(𝕋)+2⁢ϵ)k=(2⁢k⁢N+1)1/2⁢(1-δ+2⁢ϵ)k.

Take some ϵ<δ2, so that 1-δ+2⁢ϵ<1. Then with N=N⁢(ϵ),

∑k=0∞∥hk∥A⁢(𝕋)≤∑k=0∞(2⁢k⁢N+1)1/2⁢(1-δ+2⁢ϵ)k=2⁢N⁢Φ⁢(1-δ+2⁢ϵ,-12,12⁢N)<∞,

where Φ is the Lerch transcendent. This implies that the the series ∑k=0∞hk converges in A⁢(𝕋). We check that ∑k=0∞hk is the inverse of 1-h, namely, g=1-h is invertible in A⁢(𝕋), proving the claim. ∎

5 Spectral theory

Suppose that A is a commutative Banach algebra with unity 1. We define U⁢(A) to be the collection of those f∈A such that f is invertible in A. It is a fact that U⁢(A) is an open subset of A. We define

σA⁢(f)={λ∈ℂ:f-λ∉U⁢(A)},

called the spectrum of f. It is a fact that σA⁢(f) is a nonempty compact subset of ℂ.

If A⊂B are Banach algebras with unity 1, we say that A is inverse-closed in B if f∈A and f-1∈B together imply that f-1∈A.66 6 Karlheinz Gröchenig, Wiener’s Lemma: Theme and Variations. An Introduction to Spectral Invariance and Its Applications, p. 183, §5.2.5, in Brigitte Forster and Peter Massopust, eds., Four Short Courses on Harmonic Analysis, pp. 175–234.

Lemma 7.

Suppose that A⊂B are Banach algebras with unity 1. The following are equivalent:

  1. 1.

    A is inverse-closed in B.

  2. 2.

    σA⁢(f)=σB⁢(f) for all f∈A.

Proof.

Assume that A is inverse-closed in B and let f∈A. If λ∉σA⁢(f) then f-λ∈U⁢(A)⊂U⁢(B), hence λ∉σB⁢(f). Therefore σB⁢(f)⊂σA⁢(f). If λ∉σB⁢(f) then f-λ∈U⁢(B). That is, (f-λ)-1∈B. Because A is inverse-closed in B and f-λ∈A, we get (f-λ)-1∈A. Thus λ∉σA⁢(f), and therefore σA⁢(f)⊂σB⁢(f). We thus have obtained σA⁢(f)=σB⁢(f).

Assume that for all f∈A, σA⁢(f)=σB⁢(f). Suppose that f∈A and f-1∈B. That is, f∈U⁢(B), so 0∉σB⁢(f). Then 0∉σA⁢(f), meaning that f∈U⁢(A). ∎

A⁢(𝕋)⊂C⁢(𝕋) are Banach algebras with unity 1. Wiener’s lemma states that A⁢(𝕋) is inverse-closed in C⁢(𝕋). It is apparent that for f∈C⁢(𝕋), σC⁢(𝕋)⁢(f)=f⁢(𝕋)⊂ℂ. Therefore, Lemma 7 tells us for f∈A⁢(𝕋) that σA⁢(𝕋)⁢(f)=f⁢(𝕋).

The Wiener-Lévy theorem states that if f∈A⁢(𝕋), Ω⊂ℂ is an open set containing f⁢(𝕋), and F:Ω→ℂ is holomorphic, then F∘f∈A⁢(𝕋).77 7 Karlheinz Gröchenig, Wiener’s Lemma: Theme and Variations. An Introduction to Spectral Invariance and Its Applications, p. 187, Theorem 5.16, in Brigitte Forster and Peter Massopust, eds., Four Short Courses on Harmonic Analysis, pp. 175–234; Walter Rudin, Fourier Analysis on Groups, Chapter 6; N. K. Nikolski (ed.), Functional Analysis I, p. 235; V. P. Havin and N. K. Nikolski (eds.), Commutative Harmonic Analysis II, p. 240, §7.7. In particular, if f∈A⁢(𝕋) does not vanish, then Ω=ℂ∖{0} is an open set containing f⁢(𝕋) and F⁢(z)=1z is a holomorphic function on Ω, and hence F∘f⁢(t)=1f⁢(t) belongs to A⁢(𝕋), which is the statement of Wiener’s lemma.