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Banach Algebras Spectrum and Holomorphic Functional Calculus: Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Geometric Hahn Banach and Convex Separation
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Inverse and Implicit Function Theorems
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The Winding Number and the Global Cauchy Theorem
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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 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 of a -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
Continuous functions form a commutative Banach algebra
Example
Let be a nonempty compact Hausdorff space and let carry the supremum norm . Then is a unital commutative complex Banach algebra (Unital Banach algebra), and for every its spectrum is the image of :
Facts & Assumptions
Given: A nonempty compact Hausdorff space , the algebra with pointwise operations and the supremum norm, and a function .
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).
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 and , choose one function uniformly within of the limit and then use its continuity at .
A unital complex Banach algebra is an associative complex algebra with submultiplicative complete norm and unit of norm one; exactly when is invertible, and is its complement (Unital Banach algebra, Spectrum and resolvent set in a Banach algebra).
Verification
The supremum norm is finite on every : is continuous and real-valued on the nonempty compact , so it attains a maximum by [L1]; the pointwise operations make a commutative associative complex algebra with unit the constant function , and holds because for every while gives .
Completeness: a -Cauchy sequence is uniformly Cauchy, so by [L2] it converges uniformly to a continuous ; uniform convergence is convergence in the supremum norm, so is complete.
Spectral inclusion: if then : the function is continuous on the nonempty compact and attains its minimum by [L1], and would mean for some . Hence is a bounded continuous function with , and it is a two-sided inverse of ; so .
Spectral equality: conversely, if for some and were an inverse of , then evaluating the identity at would give , impossible; hence . Combined with [step 2.2], .
Bounded operators form a Banach algebra, noncommutative in dimension at least two
Example
Assume the Axiom of Choice (The Axiom of Choice). Let be a nonzero complex Banach space and let be the bounded linear operators on 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 is a unital complex Banach algebra (Unital Banach algebra), which is noncommutative as soon as is at least two-dimensional: the two-dimensional case is exhibited explicitly below, and the general case is transferred to 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 with the maximum norm the operators
satisfy .
Facts & Assumptions
Given: An assumed Axiom of Choice, a nonzero complex Banach space , and the space of bounded linear operators with the operator norm .
Composition of bounded operators is bounded and associative, is bounded, and the operator norm is submultiplicative: , with because (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
If is a Banach space then is Banach for the operator norm (If (Y) is Banach then (\mathcal B(X,Y)) is Banach).
Every finite-dimensional normed space is complete, in particular with the maximum norm is a Banach space (Every finite-dimensional normed space is Banach).
Every finite-dimensional subspace of a normed space is complemented, that is, there is a bounded projection whose range is exactly ; such a satisfies (Finite-dimensional subspaces are complemented, A closed subspace is complemented exactly when it is the range of a bounded projection).
A linear map with a finite-dimensional normed domain is bounded, so every linear map on a finite-dimensional normed space is a bounded operator (A linear map from a finite-dimensional normed space is bounded).
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
is an associative complex algebra under composition and pointwise linear structure, with unit ; by [L1] the norm is submultiplicative and , and by [L2] with it is complete; hence it is a unital complex Banach algebra.
The space with the maximum norm is a nonzero complex Banach space by [L3], so the argument of [step 1.1] applies to it and is a unital complex Banach algebra; for the explicit operators on that space and , so both are bounded, and while , so although and are the two coordinate projections.
Now let and choose linearly independent ; put , a two-dimensional subspace, and let be a bounded projection with range by [L4]. The linear maps defined by , and , are bounded by [L5], and they do not commute, since while . Then and are bounded operators on by [L1], and , because and take values in while is the identity on ; hence and , and these differ because the first sends to while the second sends to . So is noncommutative for every with , while [step 2.1] provides the explicit witness on ; by [step 1.1] the algebra is unital and Banach.
Spectrum in a finite-dimensional matrix algebra
Example
Let and let carry the Euclidean operator norm induced by identifying with , 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 is a unital complex Banach algebra (Unital Banach algebra), and for every
with the spectrum taken in that algebra (Spectrum and resolvent set in a Banach algebra) and the determinant of For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix.
Facts & Assumptions
Given: An integer , the algebra of complex matrices with the operator norm, and a matrix .
The operator norm is submultiplicative and ; an element is invertible in exactly when it has a two-sided inverse matrix, and exactly when 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).
The adjugate identity: for every (For every positive-sized square matrix over a commutative ring, , For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix).
Determinants are multiplicative: (For same-sized finite square matrices over a commutative ring, ).
Finite-dimensional normed spaces are complete, so is complete for the operator norm (Every finite-dimensional normed space is Banach).
Verification
is an associative complex algebra under matrix multiplication with unit ; by [L1] the operator norm is submultiplicative with , and by [L4] the space is complete; hence it is a unital complex Banach algebra.
If then has the two-sided inverse by [L2], so by [L1].
Conversely, if has a two-sided inverse in the algebra of [step 1.1], then [L3] gives , so .
Combining [step 2.1] and [step 2.2] with the characterization of the spectrum in [L1]: precisely when is not invertible, which by the two steps happens precisely when .
Spectrum of a multiplication operator
Example
Assume the Axiom of Choice (The Axiom of Choice). Let be a nonzero -finite measure space and let be measurable and essentially bounded, with
On the complex Hilbert space (The space as the quotient by null functions, The norm descends to the quotient and makes a normed space for , Riesz-Fischer completeness of for ) the multiplication operator is bounded with , and
the spectrum taken in (Bounded operators form a Banach algebra, noncommutative in dimension at least two, Spectrum and resolvent set in a Banach algebra). If is the zero measure then is not a nonzero algebra and the spectral convention of this page does not apply.
Facts & Assumptions
Given: The Axiom of Choice, a nonzero -finite measure space , an essentially bounded measurable , and the operator on .
is a complex Banach space of almost-everywhere equivalence classes, with ; convergence in norm and equality of classes are as in The norm descends to the quotient and makes a normed space for , Riesz-Fischer completeness of for and Complex completeness, density, and inner product: the consumer interface (The space as the quotient by null functions).
Elements of are equivalence classes modulo a.e. equality; quotient operations are induced by pointwise operations (The space as the quotient by null functions). The multiplier estimate and composition identities will be proved on representatives below.
If is invertible then is bounded below: ; and an operator that is not bounded below is not invertible (Spectrum and resolvent set in a Banach algebra).
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).
Assume AC (The Axiom of Choice), which includes choice for families indexed by (The Axiom of Countable Choice ()). Fix a sigma-finite cover and replace it by its finite partial unions to obtain increasing measurable sets with finite measure and union .
Verification
Put . Each set is null: by the definition of the infimum there is an a.e. bound strictly below . A countable union of measurable null sets is null, by disjointifying the union and applying countable additivity. Outside , . For any measurable of finite squared integral, the nonnegative integral therefore gives . Thus multiplication defines a bounded linear map , independent of representatives by [L2]. The same reasoning applies to every essentially bounded measurable symbol . If are such symbols, then on every class , and ; a general multiplier need not be the identity. Since the measure is nonzero, some from [L5] has positive measure (otherwise their union is null). Its indicator has nonzero finite norm. Hence 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].
If , then there is with ; hence almost everywhere and the measurable function on (arbitrary, say , on the null complement) is essentially bounded by . By step 1.1 its multiplication operator satisfies on classes. Thus is invertible, and so is its negative , the shifted operator in [L3]; therefore .
If , then for every the set has positive measure; since with , some has positive measure, since otherwise their countable union would be null. Take the least such ; this deterministic choice uses no choice principle.
For this least the normalized indicator is a unit vector in , and ; hence is not bounded below, so by [L3] neither it nor its negative is invertible and .
Steps [step 2.1] and [step 3.1] together give both inclusions, so ; the boundedness assertion is [step 1.1].
Spectrum of the unilateral shift
Example
Assume the Axiom of Choice (The Axiom of Choice). Let be identified with of the counting measure on ( is the 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 , and let be the unilateral shift
Then is an isometry, and
where , its closure and 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 of Bounded operators form a Banach algebra, noncommutative in dimension at least two).
Facts & Assumptions
Given: The Axiom of Choice, the Hilbert space with orthonormal coordinate vectors , and the isometric coordinate shift .
Elements of are determined by their coordinates, almost-everywhere equality for the counting measure is pointwise equality, and ; the inner product is ( is the space of counting measure, Counting measure on an arbitrary set, Counting measure is a measure, Complex completeness, density, and inner product: the consumer interface).
is bounded with and for all , so for ; 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).
means is not injective; means injective with dense non-surjective range; means injective with non-dense range; means is not bounded below; means has non-dense range; and is the set of non-invertible (Point continuous and residual spectrum, Approximate point and compression spectrum, Spectrum and resolvent set in a Banach algebra).
Verification
Shift identities: for and , so and ; moreover is injective for every : from the recursion gives for and gives for , since is injective.
Spectral containment: if then and is invertible by the Neumann series; if then by [L2], so is bounded below.
Non-density in the open disc: for the vector lies in and annihilates the range: for every , . So is not dense for , and .
Approximate eigenvectors on the circle: for and put , a unit vector; since , the interior terms cancel in and only the two boundary terms survive, so and is not bounded below.
Density on the unit circle: if then the same computation gives for all , that is, . For this makes for every , so forces and the orthogonal complement is : the range is dense there. For , on the other hand, decays, the vector is a nonzero element of orthogonal to the range, and the range is not dense — the non-density already computed in [step 2.1].
Point spectrum empty and residual spectrum: injectivity is [step 1.1], so ; for the range is non-dense by [step 2.1], so and also ; for the operator is invertible by [step 1.2], so those points are outside every spectral set.
Combining: because gives invertibility [step 1.2] and every lies in or by [step 3.2] and [step 2.2]; 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); because those points are injective with dense range [step 1.1, step 3.1] and non-surjective (else invertible); by [step 2.1], [step 3.1] and [step 3.2].
Norm need not equal spectral radius
Statement refuted
Assume the Axiom of Choice (The Axiom of Choice). In with the Euclidean operator norm the matrix
has operator norm and spectral radius (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 with the Euclidean operator norm, and the matrix acting on column vectors .
In the spectrum of a matrix is and the algebra is a unital Banach algebra with the operator norm (Spectrum in a finite-dimensional matrix algebra).
The spectral radius is , and it is defined under the Axiom of Choice (Spectral radius, Spectrum and resolvent set in a Banach algebra).
Counterexample
, so for every (operator norm on the Euclidean plane), with equality at ; hence .
, and , whose only zero is ; by [L1] the spectrum is .
By [L2] the spectral radius is ; hence the two quantities differ for this element.
Remarks
-
The witness is a nonzero nilpotent of minimal size. 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. equals for and for , and its limit is , in agreement with Spectral radius formula.
Spectrum can shrink in a larger Banach algebra
Statement refuted
Let and let
be the disc algebra with the supremum norm, and let be restriction to the unit circle . Then is a unital commutative complex Banach algebra, is an isometric unital algebra homomorphism, and for the coordinate function one has
so the spectrum strictly shrinks when the element is regarded in the larger algebra . Here 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 , its closure , the circle , the disc algebra with the supremum norm, the restriction map , and the coordinate function .
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).
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).
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).
If is holomorphic on an open set and a filled triangle lies in , then the integral of around its boundary vanishes (Goursat's triangle theorem: a holomorphic function integrates to zero around every triangle contained in its domain).
On the compact Hausdorff space the algebra is a unital commutative Banach algebra with spectrum of equal to (Continuous functions form a commutative Banach algebra).
consists of the elements with a two-sided inverse; exactly when is invertible (Unital Banach algebra, Spectrum and resolvent set in a Banach algebra).
Counterexample
is complete: if is uniformly Cauchy on , then it converges uniformly to a continuous by [L1]; for every filled triangle contained in , its boundary integral of is the limit of the corresponding integrals of the holomorphic by [L2], and those integrals vanish by [L6]. Hence is holomorphic on by [L1] and is closed under uniform limits.
Pointwise operations make a commutative complex algebra with unit , and the supremum norm is submultiplicative with ; by [step 1.1] the algebra is a unital commutative Banach algebra, and the restriction map is a unital algebra homomorphism.
The restriction map is isometric by the maximum modulus principle: for every , using [L3] and continuity.
Spectrum in the disc algebra: if then is holomorphic on a neighbourhood of , so is invertible in ; if then with , and evaluating the identity at gives , impossible; hence .
Spectrum in : the restriction is the function on the circle, whose image is ; by [L4], .
Comparing the two computations: , so the spectrum of the same element of the smaller algebra (identified with its image under the isometric embedding of [step 3.1]) is strictly larger than in the ambient algebra .
Remarks
-
Why the two spectra differ. In the inverse of for 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 of the closed disc. In the same element is invertible as soon as , because the circle avoids the zero . 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 isometrically into and compares spectra there; the containment is the general inclusion for a closed subalgebra with the same unit, as the isometric image is here, and it is strict here.
Unitization of a nonunital Banach algebra
Example
Let be a nonunital complex Banach algebra: a complex Banach space (Banach space) with an associative bilinear multiplication satisfying and no unit. Define
Then is a unital complex Banach algebra (Unital Banach algebra) with unit , the map is an isometric algebra homomorphism whose image is a closed two-sided ideal isomorphic to , and spectra of elements of are taken in this unitization: for ,
Facts & Assumptions
Given: A nonunital complex Banach algebra with norm , and the algebra with the multiplication and norm displayed above.
is complete, multiplication in is associative and bilinear with , and for the scalars understood as multiples of the unit in the unital case; in the nonunital case there is no unit and (Unital Banach algebra, Banach space).
In a unital complex Banach algebra is invertible exactly when it has a two-sided inverse, and exactly when is not invertible (Spectrum and resolvent set in a Banach algebra).
Verification
Associativity: expanding both sides of the associativity identity for and by bilinearity gives the common value the left side produces and the right side produces , and the two agree because scalars may be moved across the product, the multiplication of is bilinear, and by associativity.
The element is a two-sided identity: and . Submultiplicativity holds because by [L1], and .
Completeness: a sequence is Cauchy in the sum norm exactly when is Cauchy in and is Cauchy in (the two inequalities compare the norm with the maximum of the coordinate norms); since and are complete by [L1], the coordinates converge and their pair is the limit; so is a complex Banach algebra.
The map is isometric and multiplicative: , and ; its image is a two-sided ideal because and , and it is closed as the kernel of the continuous scalar projection .
By [L2] applied in , the spectrum of is the set of with not invertible, which is the convention displayed in the statement.
Remarks
-
The algebraic unitization is canonical, but its Banach norm is not. The algebra contains 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 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 in the definition of the spectrum are meaningless inside ; the named unitization supplies the missing , and the example fixes it so that no later statement has to guess which unitization was meant.
Riesz projection for a matrix with separated spectrum
Example
Assume the Axiom of Choice (The Axiom of Choice). Let , acting on the standard basis of . Its spectrum is (Spectrum in a finite-dimensional matrix algebra), the subset is clopen in the spectrum, and the Riesz spectral projection (Riesz spectral projection) is
the operator of orthogonal projection onto . Consequently and are the two invariant summands of Riesz spectral projection properties, and the restrictions of to them have spectra and respectively.
Facts & Assumptions
Given: The Axiom of Choice, the diagonal matrix , the spectral subset , and the circle , , which separates from and lies in the resolvent set of .
with the operator norm is a unital Banach algebra and (Spectrum in a finite-dimensional matrix algebra).
The Riesz projection is the calculus value of the locally constant function , equivalently the resolvent contour integral over a cycle with index on and on (Riesz spectral projection).
For a closed cycle, equals for and otherwise when winds once around (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).
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).
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
Resolvent: for one has , and the circle of radius about avoids both spectral points; on it the resolvent is the diagonal pair of scalar functions and .
Contour integral: by [L3], because is the circle about . On this circle , and uniformly: the tail after degree has modulus at most . Each term has integral zero by [L3], so [L4] gives . Hence , the locally constant characteristic function of evaluated on the diagonal.
The projection is idempotent, commutes with and has , ; both are -invariant, is multiplication by and is multiplication by , so the two restrictions have spectra and ; this agrees with [L5] and the separation of the spectral parts.
Sources
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — §5.1.1 examples, printed pp. 209–214
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — §5.1.1 and §5.2.1 examples, printed pp. 209–214 and 219–222
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — Example 5.17 and §5.2.1, printed pp. 220–222
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — Example 5.16, printed p. 220
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — §5.2.2, printed p. 222
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — §5.1.1 and §5.2.1 (the disc algebra), printed pp. 209–214 and 219–222
- Vahid Shirbisheh, Lectures on C-star Algebras, v2 — Definition 2.1.18, printed pp. 11–13
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — §5.1.1, printed pp. 209–214
- Theo Bühler and Dietmar A. Salamon, Functional Analysis — equation (5.26) and Theorem 5.25(vi), printed pp. 226–228
- Vahid Shirbisheh, Lectures on C-star Algebras, v2 — §2.5, printed pp. 48–50