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Banach Algebras Spectrum and Holomorphic Functional Calculus: Examples

1 · Prerequisites

2 · Summary

The examples on this page compute spectra in the four model algebras and test the boundaries of the definitions of the companion page. The continuous functions on a nonempty compact Hausdorff space form a commutative unital Banach algebra in which the spectrum of f is exactly its image, and the bounded operators on a nonzero Banach space form a unital Banach algebra that is noncommutative as soon as the space has dimension at least two — the two coordinate projections of the plane provide the explicit witness. In the finite-dimensional matrix algebra with the Euclidean operator norm the spectrum is the zero set of the characteristic determinant, proved from the adjugate identity and multiplicativity of the determinant rather than from an imported spectral theorem.

The multiplication operator on L2 of a σ-finite measure space has spectrum equal to the essential range of its symbol: outside the essential range the symbol is bounded below almost everywhere and its reciprocal gives a bounded two-sided inverse, while inside it a normalized indicator on sets of positive finite measure produces unit vectors whose images under the shifted operator tend to zero. The unilateral shift is worked out in all five spectral parts: the spectrum is the closed unit disc, the point spectrum is empty, the residual and compression spectra are the open disc with the coordinate annihilator as witness, and the continuous and approximate point spectra are the unit circle, where normalized long geometric blocks are approximate eigenvectors.

Two counterexamples calibrate the theory. A nonzero nilpotent matrix has norm one and spectral radius zero, so the norm of an element need not equal its spectral radius; and the coordinate function of the disc algebra has spectrum the closed disc inside that algebra but only the circle inside the larger algebra of continuous functions on the circle, so spectra strictly shrink in larger algebras. The page closes with the unitization of a nonunital Banach algebra, which fixes the ambient algebra in which spectra of its elements are taken, and with a diagonal matrix whose separated spectrum is split by an explicit Riesz projection computed as a residue.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-adaptedaudited 2026-09-22Open item page →

Continuous functions form a commutative Banach algebra

Example

Let K be a nonempty compact Hausdorff space and let C(K,C):={f:KC:f continuous} carry the supremum norm f:=supxKf(x). Then C(K,C) is a unital commutative complex Banach algebra (Unital Banach algebra), and for every f its spectrum is the image of f:

σ(f)=f[K]={f(x):xK}

(Spectrum and resolvent set in a Banach algebra).

Facts & Assumptions

Given: A nonempty compact Hausdorff space K, the algebra C(K,C) with pointwise operations and the supremum norm, and a function fC(K,C).

[L1]

The image of a compact set under a continuous map is compact, and a continuous real-valued function on a nonempty compact space attains a maximum and a minimum (A continuous image of a compact space is compact; a continuous real-valued map on a nonempty compact space attains a maximum and a minimum; and a continuous bijection from a compact space to a Hausdorff space is a homeomorphism).

[L2]

A uniformly Cauchy sequence of complex-valued functions on a set converges uniformly to a function on that set (A sequence of complex-valued functions converges uniformly if and only if it is uniformly Cauchy). If the domain is a topological space and all the functions are continuous, the limit is continuous: given x and ε>0, choose one function uniformly within ε/3 of the limit and then use its continuity at x.

[L3]

A unital complex Banach algebra is an associative complex algebra with submultiplicative complete norm and unit of norm one; zρ(a) exactly when z1a is invertible, and σ(a) is its complement (Unital Banach algebra, Spectrum and resolvent set in a Banach algebra).

Verification

technique · direct
1.1

The supremum norm is finite on every f: f is continuous and real-valued on the nonempty compact K, so it attains a maximum by [L1]; the pointwise operations make C(K,C) a commutative associative complex algebra with unit the constant function 1, and fgfg holds because f(x)g(x)fg for every x while 1(x)=1 gives 1=1.

L1L3algebra
2.1

Completeness: a -Cauchy sequence (fn) is uniformly Cauchy, so by [L2] it converges uniformly to a continuous f; uniform convergence is convergence in the supremum norm, so C(K,C) is complete.

step 1.1L2
2.2

Spectral inclusion: if λf[K] then m:=infxKλf(x)>0: the function xλf(x) is continuous on the nonempty compact K and attains its minimum m by [L1], and m=0 would mean λ=f(x) for some x. Hence 1/(λf) is a bounded continuous function with 1/(λf)1/m, and it is a two-sided inverse of λ1f; so λρ(f).

step 1.1L1L3
3.1

Spectral equality: conversely, if λ=f(x0) for some x0K and g were an inverse of λ1f, then evaluating the identity g(λ1f)=1 at x0 would give g(x0)0=1, impossible; hence λσ(f). Combined with [step 2.2], σ(f)=f[K].

step 1.1step 2.2L3
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Bounded operators form a Banach algebra, noncommutative in dimension at least two

Example

Assume the Axiom of Choice (The Axiom of Choice). Let X be a nonzero complex Banach space and let B(X) be the bounded linear operators on X with the operator norm (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum). Then B(X) is a unital complex Banach algebra (Unital Banach algebra), which is noncommutative as soon as X is at least two-dimensional: the two-dimensional case is exhibited explicitly below, and the general case is transferred to X through a bounded projection onto a two-dimensional subspace, which is the one place where the Axiom of Choice is used (Finite-dimensional subspaces are complemented). In particular, on the two-dimensional complex Banach space C2 with the maximum norm the operators

U(x,y):=(y,0),V(x,y):=(0,x)

satisfy UVVU.

Facts & Assumptions

Given: An assumed Axiom of Choice, a nonzero complex Banach space X, and the space B(X) of bounded linear operators with the operator norm .

[L1]

Composition of bounded operators is bounded and associative, 1X is bounded, and the operator norm is submultiplicative: STST, with 1X=1 because X{0} (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[L2]

If Y is a Banach space then B(X,Y) is Banach for the operator norm (If (Y) is Banach then (\mathcal B(X,Y)) is Banach).

[L3]

Every finite-dimensional normed space is complete, in particular C2 with the maximum norm is a Banach space (Every finite-dimensional normed space is Banach).

[L4]

Every finite-dimensional subspace M of a normed space X is complemented, that is, there is a bounded projection P:XX whose range is exactly M; such a P satisfies PM=idM (Finite-dimensional subspaces are complemented, A closed subspace is complemented exactly when it is the range of a bounded projection).

[L5]

A linear map with a finite-dimensional normed domain is bounded, so every linear map MM on a finite-dimensional normed space M is a bounded operator (A linear map from a finite-dimensional normed space is bounded).

[A1]

The standing hypothesis is the Axiom of Choice, used exactly once and only through [L4], whose proof extends the coordinate functionals of a finite-dimensional subspace to the whole space by Hahn–Banach (The Axiom of Choice).

Verification

technique · direct
1.1

B(X) is an associative complex algebra under composition and pointwise linear structure, with unit 1X; by [L1] the norm is submultiplicative and 1X=1, and by [L2] with Y=X it is complete; hence it is a unital complex Banach algebra.

L1L2
2.1

The space C2 with the maximum norm is a nonzero complex Banach space by [L3], so the argument of [step 1.1] applies to it and B(C2) is a unital complex Banach algebra; for the explicit operators U,V on that space U(x,y)=(y,0)=y(x,y) and V(x,y)=x(x,y), so both are bounded, and UV(x,y)=U(0,x)=(x,0) while VU(x,y)=V(y,0)=(0,y), so UVVU although UV and VU are the two coordinate projections.

step 1.1L1L3algebra
3.1

Now let dimX2 and choose linearly independent u,vX; put M:=span{u,v}, a two-dimensional subspace, and let P be a bounded projection with range M by [L4]. The linear maps S,T:MM defined by S(u)=v, S(v)=0 and T(u)=0, T(v)=u are bounded by [L5], and they do not commute, since ST(u)=S(0)=0 while TS(u)=T(v)=u0. Then SP and TP are bounded operators on X by [L1], and PS=S, PT=T because S and T take values in M while P is the identity on M; hence (SP)(TP)=(ST)P and (TP)(SP)=(TS)P, and these differ because the first sends u to (ST)(u)=0 while the second sends u to (TS)(u)=u0. So B(X) is noncommutative for every X with dimX2, while [step 2.1] provides the explicit witness on C2; by [step 1.1] the algebra is unital and Banach.

step 1.1step 2.1L1L4L5A1algebra
ExampleConstruction: Literature-sourcedVerification: AI-adaptedaudited 2026-09-22Open item page →

Spectrum in a finite-dimensional matrix algebra

Example

Let n1 and let Mn(C) carry the Euclidean operator norm induced by identifying Mn(C) with B(Cn), Cn having the Euclidean norm, and by the operator norm on that space (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum). Then Mn(C) is a unital complex Banach algebra (Unital Banach algebra), and for every AMn(C)

σ(A)={λC:det(λIA)=0}

with the spectrum taken in that algebra (Spectrum and resolvent set in a Banach algebra) and the determinant of For n1, the determinant over a commutative ring by the Leibniz formula, and detA for a real matrix.

Facts & Assumptions

Given: An integer n1, the algebra Mn(C) of n×n complex matrices with the operator norm, and a matrix AMn(C).

[L1]

The operator norm is submultiplicative and I=1; an element is invertible in Mn(C) exactly when it has a two-sided inverse matrix, and λσ(A) exactly when λIA is not invertible (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum, Spectrum and resolvent set in a Banach algebra, Unital Banach algebra).

[L3]

Determinants are multiplicative: det(BC)=det(B)det(C) (For same-sized finite square matrices over a commutative ring, det(AB)=det(A)det(B)).

[L4]

Finite-dimensional normed spaces are complete, so Mn(C)=B(Cn) is complete for the operator norm (Every finite-dimensional normed space is Banach).

Verification

technique · direct
1.1

Mn(C) is an associative complex algebra under matrix multiplication with unit I; by [L1] the operator norm is submultiplicative with I=1, and by [L4] the space is complete; hence it is a unital complex Banach algebra.

L1L4
2.1

If det(λIA)0 then B:=λIA has the two-sided inverse det(B)1adj(B) by [L2], so λσ(A) by [L1].

step 1.1L2L1
2.2

Conversely, if λIA has a two-sided inverse C in the algebra of [step 1.1], then [L3] gives det(λIA)det(C)=det(I)=1, so det(λIA)0.

step 1.1L3algebra
3.1

Combining [step 2.1] and [step 2.2] with the characterization of the spectrum in [L1]: λσ(A) precisely when λIA is not invertible, which by the two steps happens precisely when det(λIA)=0.

step 2.1step 2.2L1
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Spectrum of a multiplication operator

Example

Assume the Axiom of Choice (The Axiom of Choice). Let (X,A,μ) be a nonzero σ-finite measure space and let m:XC be measurable and essentially bounded, with

m:=inf{M0:m(x)M for almost every x}.

On the complex Hilbert space L2(μ) (The space Lp(μ) as the quotient by null functions, The Lp norm descends to the quotient and makes Lp a normed space for 1p, Riesz-Fischer completeness of Lp for 1p) the multiplication operator Mm[f]:=[mf] is bounded with Mmm, and

σ(Mm)=essran(m):={λC:μ({mλ<ε})>0 for every ε>0},

the spectrum taken in B(L2(μ)) (Bounded operators form a Banach algebra, noncommutative in dimension at least two, Spectrum and resolvent set in a Banach algebra). If μ is the zero measure then L2(μ)={0} is not a nonzero algebra and the spectral convention of this page does not apply.

Facts & Assumptions

Given: The Axiom of Choice, a nonzero σ-finite measure space (X,A,μ), an essentially bounded measurable m, and the operator Mm on L2(μ).

[L1]

L2(μ) is a complex Banach space of almost-everywhere equivalence classes, with [f]2=f2; convergence in norm and equality of classes are as in The Lp norm descends to the quotient and makes Lp a normed space for 1p, Riesz-Fischer completeness of Lp for 1p and Complex completeness, density, and inner product: the consumer interface (The space Lp(μ) as the quotient by null functions).

[L2]

Elements of L2 are equivalence classes modulo a.e. equality; quotient operations are induced by pointwise operations (The space Lp(μ) as the quotient by null functions). The multiplier estimate and composition identities will be proved on representatives below.

[L3]

If T is invertible then T is bounded below: x=T1TxT1Tx; and an operator that is not bounded below is not invertible (Spectrum and resolvent set in a Banach algebra).

[L4]

Under AC the bounded operators on a nonzero complex Banach space form a unital complex Banach algebra with composition as multiplication (Bounded operators form a Banach algebra, noncommutative in dimension at least two).

[L5]

Assume AC (The Axiom of Choice), which includes choice for families indexed by N (The Axiom of Countable Choice (ACω)). Fix a sigma-finite cover and replace it by its finite partial unions to obtain increasing measurable sets Ek with finite measure and union X.

Verification

technique · direct
1.1

Put r=m. Each set Nj={m>r+1/j} is null: by the definition of the infimum there is an a.e. bound strictly below r+1/j. A countable union of measurable null sets is null, by disjointifying the union and applying countable additivity. Outside j1Nj, mr. For any measurable f of finite squared integral, the nonnegative integral therefore gives mf2r2f2. Thus multiplication defines a bounded linear map Mm[f]=[mf], independent of representatives by [L2]. The same reasoning applies to every essentially bounded measurable symbol h. If h,k are such symbols, then on every class MhMk[f]=[h(kf)]=[(hk)f]=Mhk[f], and M1=I; a general multiplier need not be the identity. Since the measure is nonzero, some Ek from [L5] has positive measure (otherwise their union is null). Its indicator has nonzero finite L2 norm. Hence L2 is a nonzero complex Banach space by [L1], and [L4] supplies its operator algebra. AC is inherited from [L4] and supplies the Countable Choice required by [L1].

L1L2L4L5
2.1

If λessran(m), then there is ε>0 with μ({mλ<ε})=0; hence mλε almost everywhere and the measurable function ϕ:=1/(mλ) on {mλε} (arbitrary, say 0, on the null complement) is essentially bounded by 1/ε. By step 1.1 its multiplication operator satisfies Mϕ(Mmλ)=(Mmλ)Mϕ=1 on classes. Thus MmλI is invertible, and so is its negative λIMm, the shifted operator in [L3]; therefore λρ(Mm).

step 1.1L2L4L3
2.2

If λessran(m), then for every n1 the set An:={mλ<1/n} has positive measure; since X=kEk with μ(Ek)<, some AnEk has positive measure, since otherwise their countable union An would be null. Take the least such k; this deterministic choice uses no choice principle.

step 1.1L5algebra
3.1

For this least k the normalized indicator fn:=μ(AnEk)1/21AnEk is a unit vector in L2(μ), and (Mmλ)fn2(1/n)fn2=1/n0; hence Mmλ is not bounded below, so by [L3] neither it nor its negative is invertible and λσ(Mm).

step 2.2L3L1algebra
4.1

Steps [step 2.1] and [step 3.1] together give both inclusions, so σ(Mm)=essran(m); the boundedness assertion is [step 1.1].

step 1.1step 2.1step 3.1
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Spectrum of the unilateral shift

Example

Assume the Axiom of Choice (The Axiom of Choice). Let 2=2(N0) be identified with L2 of the counting measure on N0={0,1,2,} (p is the Lp space of counting measure, Counting measure on an arbitrary set, Counting measure is a measure, Complex completeness, density, and inner product: the consumer interface), with coordinate vectors en, and let S be the unilateral shift

Sen:=en+1,extended linearly and by continuity to all of 2.

Then SB(2) is an isometry, and

σ(S)=D,σp(S)=,σr(S)=σcp(S)=D,σc(S)=σap(S)=T,

where D={z<1}, D its closure and T the unit circle (scalar spectrum in Spectrum and resolvent set in a Banach algebra, point/continuous/residual spectrum in Point continuous and residual spectrum, approximate point and compression spectrum in Approximate point and compression spectrum, all inside B(2) of Bounded operators form a Banach algebra, noncommutative in dimension at least two).

Facts & Assumptions

Given: The Axiom of Choice, the Hilbert space 2=2(N0) with orthonormal coordinate vectors en, and the isometric coordinate shift Sen=en+1.

[L1]

Elements of 2 are determined by their coordinates, almost-everywhere equality for the counting measure is pointwise equality, and x22=nxn2; the inner product is x,y=nxnyn (p is the Lp space of counting measure, Counting measure on an arbitrary set, Counting measure is a measure, Complex completeness, density, and inner product: the consumer interface).

[L2]

S is bounded with S=1 and Sx=x for all x, so (Sλ)xSxλx=(1λ)x for λ<1; an operator that is not bounded below is not invertible (A bounded operator that is bounded below, Spectrum and resolvent set in a Banach algebra, Bounded operators form a Banach algebra, noncommutative in dimension at least two).

[L3]

λσp(S) means Sλ is not injective; λσc(S) means injective with dense non-surjective range; λσr(S) means injective with non-dense range; λσap(S) means Sλ is not bounded below; λσcp(S) means Sλ has non-dense range; and σ(S) is the set of non-invertible Sλ (Point continuous and residual spectrum, Approximate point and compression spectrum, Spectrum and resolvent set in a Banach algebra).

Verification

technique · direct
1.1

Shift identities: (Sx)n=xn1 for n1 and (Sx)0=0, so Sx=x and S=1; moreover Sλ is injective for every λ: from (Sλ)x=0 the recursion xn1=λxn gives x=0 for λ0 and Sx=0 gives x=0 for λ=0, since S is injective.

L1L2algebra
1.2

Spectral containment: if λ>1 then S/λ<1 and Sλ=λ(1S/λ) is invertible by the Neumann series; if λ<1 then (Sλ)x(1λ)x by [L2], so Sλ is bounded below.

L2algebra
2.1

Non-density in the open disc: for λ<1 the vector c:=(λn)n0 lies in 2 and annihilates the range: for every x2, (Sλ)x,c=nxn(cn+1λcn)=nxn(λn+1λλn)=0. So ran(Sλ) is not dense for λ<1, and σcp(S)D.

step 1.1L1L3algebra
2.2

Approximate eigenvectors on the circle: for λ=1 and N1 put vN:=N1/2k<Nλkek, a unit vector; since SvN=N1/2k<Nλkek+1, the interior terms cancel in (Sλ)vN and only the two boundary terms survive, (Sλ)vN=N1/2(λ(N1)eNλe0), so (Sλ)vN=2N1/22N1/20 and Sλ is not bounded below.

step 1.1L2L3algebra
3.1

Density on the unit circle: if cran(Sλ) then the same computation gives cn+1=λcn for all n, that is, cn=λnc0. For λ=1 this makes cn=c0 for every n, so c2 forces c0=0 and the orthogonal complement is {0}: the range is dense there. For λ<1, on the other hand, cn=λnc0 decays, the vector c=(λn)n0 is a nonzero element of 2 orthogonal to the range, and the range is not dense — the non-density already computed in [step 2.1].

step 2.1L1algebra
3.2

Point spectrum empty and residual spectrum: injectivity is [step 1.1], so σp(S)=; for λ<1 the range is non-dense by [step 2.1], so λσr(S) and also λσcp(S); for λ>1 the operator is invertible by [step 1.2], so those points are outside every spectral set.

step 1.1step 1.2step 2.1L3
4.1

Combining: σ(S)=D because λ>1 gives invertibility [step 1.2] and every λ1 lies in σc(S) or σr(S) by [step 3.2] and [step 2.2]; σap(S)=T by [step 1.2] (bounded below inside the disc), [step 2.2] (on the circle) and [step 1.2] again (invertible, hence bounded below, outside); σc(S)=T because those points are injective with dense range [step 1.1, step 3.1] and non-surjective (else invertible); σr(S)=σcp(S)=D by [step 2.1], [step 3.1] and [step 3.2].

step 1.2step 2.1step 3.1step 3.2step 2.2L3
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Norm need not equal spectral radius

Statement refuted

Assume the Axiom of Choice (The Axiom of Choice). In M2(C) with the Euclidean operator norm the matrix

E12=(0100)

has operator norm E12=1 and spectral radius r(E12)=0 (Spectral radius). So the norm of an element of a unital Banach algebra need not equal its spectral radius.

Facts & Assumptions

Given: The Axiom of Choice, the algebra M2(C) with the Euclidean operator norm, and the matrix E12 acting on column vectors (x,y)C2.

[L1]

In M2(C) the spectrum of a matrix A is {λ:det(λIA)=0} and the algebra is a unital Banach algebra with the operator norm (Spectrum in a finite-dimensional matrix algebra).

[L2]

The spectral radius is r(a)=max{z:zσ(a)}, and it is defined under the Axiom of Choice (Spectral radius, Spectrum and resolvent set in a Banach algebra).

Counterexample

technique · direct
1.1

E12(x,y)=(y,0), so E12(x,y)=y(x,y) for every (x,y)C2 (operator norm on the Euclidean plane), with equality at (0,1); hence E12=1.

algebra
2.1

E122=0, and det(λIE12)=λ2, whose only zero is λ=0; by [L1] the spectrum is σ(E12)={0}.

step 1.1L1algebra
3.1

By [L2] the spectral radius is r(E12)=max{z:z{0}}=0<1=E12; hence the two quantities differ for this element.

step 1.1step 2.1L2algebra

Remarks

  • The witness is a nonzero nilpotent of minimal size. E12 is the smallest nonzero nilpotent: its square vanishes and its norm is one, so the gap between norm and spectral radius is already visible on the unit sphere of the matrix algebra.

  • The spectral radius formula records the same gap asymptotically. E12n1/n equals 1 for n=1 and 0 for n2, and its limit is 0=r(E12), in agreement with Spectral radius formula.

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedaudited 2026-09-22Open item page →

Spectrum can shrink in a larger Banach algebra

Statement refuted

Let D={z<1} and let

A(D):={f:DC:f continuous on D, f holomorphic on D}

be the disc algebra with the supremum norm, and let ρ:A(D)C(T) be restriction to the unit circle T. Then A(D) is a unital commutative complex Banach algebra, ρ is an isometric unital algebra homomorphism, and for the coordinate function z one has

σA(D)(z)=D,σC(T)(ρ(z))=T,

so the spectrum strictly shrinks when the element is regarded in the larger algebra C(T). Here C(T) is the algebra of Continuous functions form a commutative Banach algebra and spectra are taken as in Spectrum and resolvent set in a Banach algebra with the algebra indicated.

Facts & Assumptions

Given: The disc D, its closure D, the circle T, the disc algebra A(D) with the supremum norm, the restriction map ρ, and the coordinate function z.

[L1]

A continuous complex-valued function on an open set is holomorphic if and only if its integral around the boundary of every filled triangle in the set vanishes; uniform limits of continuous functions are continuous (Morera's theorem: vanishing triangle integrals characterize holomorphy among continuous functions, A uniform limit of continuous complex-valued functions is continuous).

[L2]

Uniformly convergent sequences of continuous functions on a contour may be integrated term by term (A uniformly convergent sequence of continuous integrands on a fixed contour permits passage of the limit through the complex line integral).

[L3]

A continuous function on the closure of a bounded domain that is holomorphic in the domain attains its maximum modulus on the boundary (Boundary maximum modulus principle on a bounded domain).

[L6]

If f is holomorphic on an open set U and a filled triangle lies in U, then the integral of f around its boundary vanishes (Goursat's triangle theorem: a holomorphic function integrates to zero around every triangle contained in its domain).

[L4]

On the compact Hausdorff space T the algebra C(T) is a unital commutative Banach algebra with spectrum of g equal to g[T] (Continuous functions form a commutative Banach algebra).

[L5]

A× consists of the elements with a two-sided inverse; λσ(a) exactly when λ1a is invertible (Unital Banach algebra, Spectrum and resolvent set in a Banach algebra).

Counterexample

technique · direct
1.1

A(D) is complete: if (fn) is uniformly Cauchy on D, then it converges uniformly to a continuous f by [L1]; for every filled triangle contained in D, its boundary integral of f is the limit of the corresponding integrals of the holomorphic fn by [L2], and those integrals vanish by [L6]. Hence f is holomorphic on D by [L1] and A(D) is closed under uniform limits.

L1L2L6
2.1

Pointwise operations make A(D) a commutative complex algebra with unit 1, and the supremum norm is submultiplicative with 1=1; by [step 1.1] the algebra is a unital commutative Banach algebra, and the restriction map ρ is a unital algebra homomorphism.

step 1.1L5algebra
3.1

The restriction map is isometric by the maximum modulus principle: ρ(f)=supTf=supDf=f for every fA(D), using [L3] and continuity.

step 2.1L3algebra
3.2

Spectrum in the disc algebra: if λ>1 then 1/(λz) is holomorphic on a neighbourhood of D, so λz is invertible in A(D); if λ1 then λ=z(λ) with λD, and evaluating the identity g(λz)=1 at z=λ gives g(λ)0=1, impossible; hence σA(D)(z)=D.

step 2.1L5algebra
3.3

Spectrum in C(T): the restriction ρ(z) is the function ζζ on the circle, whose image is T; by [L4], σC(T)(ρ(z))=T.

step 2.1L4algebra
4.1

Comparing the two computations: σA(D)(z)=DT=σC(T)(ρ(z)), so the spectrum of the same element of the smaller algebra (identified with its image under the isometric embedding ρ of [step 3.1]) is strictly larger than in the ambient algebra C(T).

step 3.1step 3.2step 3.3algebra

Remarks

  • Why the two spectra differ. In A(D) the inverse of λz for λ1 would have to be a function continuous on the closed disc and holomorphic inside, and no such function exists because the value would have to blow up at the point λ of the closed disc. In C(T) the same element is invertible as soon as λ1, because the circle avoids the zero λ. The homomorphism is isometric, so the difference is not a norm effect.

  • The larger algebra need not be an extension of the element's algebra. The example embeds A(D) isometrically into C(T) and compares spectra there; the containment σC(T)(ρ(z))σA(D)(z) is the general inclusion for a closed subalgebra with the same unit, as the isometric image ρ(A(D)) is here, and it is strict here.

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Unitization of a nonunital Banach algebra

Example

Let A be a nonunital complex Banach algebra: a complex Banach space (Banach space) with an associative bilinear multiplication satisfying abab and no unit. Define

A~:=CA,(λ,a)(μ,b):=(λμ, λb+μa+ab),(λ,a):=λ+a.

Then A~ is a unital complex Banach algebra (Unital Banach algebra) with unit (1,0), the map a(0,a) is an isometric algebra homomorphism whose image is a closed two-sided ideal isomorphic to A, and spectra of elements of A are taken in this unitization: for aA,

σ(a):=σA~((0,a))={λC:(λ,a) is not invertible in A~}

(Spectrum and resolvent set in a Banach algebra).

Facts & Assumptions

Given: A nonunital complex Banach algebra A with norm , and the algebra A~=CA with the multiplication and norm displayed above.

[L1]

A is complete, multiplication in A is associative and bilinear with abab, and z=z for the scalars understood as multiples of the unit in the unital case; in the nonunital case there is no unit and 1A (Unital Banach algebra, Banach space).

[L2]

In a unital complex Banach algebra c is invertible exactly when it has a two-sided inverse, and λσ(c) exactly when λ1c is not invertible (Spectrum and resolvent set in a Banach algebra).

Verification

technique · direct
1.1

Associativity: expanding both sides of the associativity identity for ((λ,a)(μ,b))(ν,c) and (λ,a)((μ,b)(ν,c)) by bilinearity gives the common value (λμν, λμc+λνb+μνa+λ(bc)+μ(ac)+ν(ab)+(ab)c): the left side produces λμc+ν(λb+μa+ab)+(λb+μa+ab)c and the right side produces λ(μc+νb+bc)+μνa+a(μc+νb+bc), and the two agree because scalars may be moved across the product, the multiplication of A is bilinear, and a(bc)=(ab)c by associativity.

L1algebra
2.1

The element (1,0) is a two-sided identity: (1,0)(μ,b)=(μ,b+0+0)=(μ,b) and (λ,a)(1,0)=(λ,0+a+0)=(λ,a). Submultiplicativity holds because (λ,a)(μ,b)=λμ+λb+μa+abλμ+λb+μa+ab=(λ+a)(μ+b)=(λ,a)(μ,b) by [L1], and (1,0)=1.

step 1.1L1algebra
3.1

Completeness: a sequence (λn,an) is Cauchy in the sum norm exactly when (λn) is Cauchy in C and (an) is Cauchy in A (the two inequalities λ,a(λ,a)λ+a compare the norm with the maximum of the coordinate norms); since C and A are complete by [L1], the coordinates converge and their pair is the limit; so A~ is a complex Banach algebra.

step 2.1L1algebra
3.2

The map j(a):=(0,a) is isometric and multiplicative: j(ab)=(0,ab)=(0,a)(0,b)=j(a)j(b), and j(a)=0+a; its image is a two-sided ideal because (λ,b)(0,a)=(0,λa+ba) and (0,a)(μ,b)=(0,μa+ab), and it is closed as the kernel of the continuous scalar projection (λ,a)λ.

step 2.1L1algebra
4.1

By [L2] applied in A~, the spectrum of aA is the set of λ with (λ,0)(0,a)=(λ,a) not invertible, which is the convention displayed in the statement.

step 3.1step 3.2L2

Remarks

  • The algebraic unitization is canonical, but its Banach norm is not. The algebra A~ contains A as a closed two-sided ideal of codimension one, and the displayed multiplication is the usual algebraic unitization. The sum norm is one convenient submultiplicative complete norm; merely requiring another unitization to restrict to the norm of A and to have unit norm one does not force an isometry with this sum-norm model.

  • Why the convention is needed at all. Without a unit the expressions z1a in the definition of the spectrum are meaningless inside A; the named unitization supplies the missing 1, and the example fixes it so that no later statement has to guess which unitization was meant.

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Riesz projection for a matrix with separated spectrum

Example

Assume the Axiom of Choice (The Axiom of Choice). Let T:=diag(1,2)M2(C), acting on the standard basis e1,e2 of C2. Its spectrum is σ(T)={1,2} (Spectrum in a finite-dimensional matrix algebra), the subset E:={1} is clopen in the spectrum, and the Riesz spectral projection (Riesz spectral projection) is

PE=diag(1,0)M2(C),

the operator of orthogonal projection onto Ce1. Consequently ran(PE)=Ce1 and ker(PE)=Ce2 are the two invariant summands of Riesz spectral projection properties, and the restrictions of T to them have spectra {1} and {2} respectively.

Facts & Assumptions

Given: The Axiom of Choice, the diagonal matrix T=diag(1,2), the spectral subset E={1}, and the circle γ(t):=1+12eit, 0t2π, which separates 1 from 2 and lies in the resolvent set of T.

[L1]

M2(C) with the operator norm is a unital Banach algebra and σ(A)={λ:det(λIA)=0} (Spectrum in a finite-dimensional matrix algebra).

[L2]

The Riesz projection is the calculus value of the locally constant function χE, equivalently the resolvent contour integral 12πiΓχE(z)(zIT)1dz over a cycle with index 1 on E and 0 on σ(T)E (Riesz spectral projection).

[L3]

For a closed cycle, 12πiγ(za)mdz equals 1 for m=1 and 0 otherwise when γ winds once around a (On a positively oriented circle about a, the integral of (z-a)^m is zero for every integer m except -1, and is 2 pi i for m=-1).

[L4]

A uniformly convergent sequence of continuous functions on a contour may be integrated term by term (A uniformly convergent sequence of continuous integrands on a fixed contour permits passage of the limit through the complex line integral).

[L5]

The range and kernel of a Riesz projection are closed invariant summands, and the restriction spectra are the corresponding spectral parts (Riesz spectral projection properties).

Verification

technique · direct
1.1

Resolvent: for z{1,2} one has (zIT)1=diag((z1)1,(z2)1), and the circle γ of radius 1/2 about 1 avoids both spectral points; on it the resolvent is the diagonal pair of scalar functions 1/(z1) and 1/(z2).

L1algebra
2.1

Contour integral: by [L3], 12πiγdzz1=1 because γ is the circle about 1. On this circle z1=1/2, and 1z2=11(z1)=n0(z1)n uniformly: the tail after degree N has modulus at most 2N1/(11/2). Each term has integral zero by [L3], so [L4] gives γdz/(z2)=0. Hence PE=12πiγ(zIT)1dz=diag(1,0), the locally constant characteristic function of {1} evaluated on the diagonal.

step 1.1L2L3L4algebra
3.1

The projection diag(1,0) is idempotent, commutes with T and has ran(PE)=Ce1, ker(PE)=Ce2; both are T-invariant, TCe1 is multiplication by 1 and TCe2 is multiplication by 2, so the two restrictions have spectra {1} and {2}; this agrees with [L5] and the separation of the spectral parts.

step 2.1L5L1algebra

Sources