HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR. 1. Introduction

Size: px
Start display at page:

Download "HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR. 1. Introduction"

Transcription

1 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR CAMILO ARGOTY AND ALEXANDER BERENSTEIN Abstract. We study Hilbert spaces expanded with a unitary operator with a countable spectrum. We show the theory of such a structure is ω-stable and has quantifier elimination. 1. Introduction This paper deals with the expansion of a Hilbert space with a unitary operator with a countable spectrum from the perpective of continuous logic ( for an introduction to this subject see [4]). We study the model-theoretic properties of such a structure in terms of the spectrum of the operator. In other words, our goal is to study the relation between Model Theory and Spectral Theory when the spectrum of the operator involved is countable. The main results are the following: 1.1. Theorem. Let U be a unitary operator with pure point spectrum in a Hilbert space H. Then, the theory of structure (H, U) = (H, +, 0,, U) admits quantifier elimination, is separably categorical (see Definition 3.18), is ω-stable (see Definition 3.20) and the projection into every eigenspace is definable Theorem. Let U be a unitary operator whose spectrum has countably many non-empty accumulation points. Then, the theory of the structure (H, U) = (H, +, 0,, U) admits quantifier elimination and is ω-stable. The projection into an eigenspace is definable if and only if the corresponding eigenvalue is an isolated point in the spectrum. The theory of the structure (H, +, 0,, U) where U is a unitary operator, was first studied by Henson and Iovino in [11], where they observed that it is stable. A geometric characterization of forking in such structures was first done by Berenstein and Buechler [7] after adding to the structure the projections corresponding to the The authors would like to thank Ward Henson for allowing us to include in this paper an unpublished result of his. 1

2 2 CAMILO ARGOTY AND ALEXANDER BERENSTEIN Spectral Decomposition Theorem. Ben Yaacov, Usvyatsov and Zadka characterized the unitary operators corresponding to generic automorphisms of a Hilbert space as those unitary transformations whose spectrum is S 1. In this work we study the definable aspects of the spectral decomposition, we classify the separable models of the expansions and we study orthogonality of types when U has a countable spectrum. We also give a different proof of the characterization of forking given in [7]: we provide an explicit freeness relation and prove some of its properties which show it coincides with non-forking, without adding to the structure the projections corresponding to the spectral decomposition. The framework for this work is continuous logic, we assume the reader is familiar with notions such as definability, definable and algebraic closure, and forking. The background can be found in [4, 5]. This paper is divided as follows. In the second section we give a brief introduction to Spectral Theory. In the third section we study the expansions of a Hilbert space with unitary operators with a pure point (finite) spectrum and with a countably infinite spectrum. 2. Preliminaries: Spectral theory The following section is based on [1] and [12]. Let H = (H, +, 0, ) be an infinite dimensional Hilbert space over C Definition. Let A be a linear operator from H into H. The operator A is called bounded if the set { A(u) : u H, u = 1} is bounded in R. If A is bounded we define the norm of A by: A = sup A(u) u H, u = Definition. A sequence of linear operators {A n } n ω converges uniformly to an operator A, if lim n A A n = Definition. Given a linear operator A : H H, its adjoint operator, denoted A is the linear operator A : H H such that for every u, v H, Au v = u A v Definition. A linear operator A : H H is called self-adjoint if A = A.

3 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR Definition. Let N a linear operator from H to H. N is called normal if N commutes with its adjoint N Definition. Given a normal operator A, a complex number λ is called an eigenvalue or punctual spectral value of A if the operator A λi is not one to one. A complex number λ is called a continuous spectral value if the operator A λi is one to one and the operator (A λi) 1 is densely defined but is unbounded Fact (Theorem 1, section 93 in [1]). A point r belongs to the continuous spectrum of an operator A if and only if there is an orthonormal sequence of elements (f n : n ω) such that lim n (Af n rf n ) = Definition. The spectrum of an operator A, denoted by σ(a), is the set of the punctual and continuous spectral values. It is well known that if A is a bounded normal operator, then σ(a) is a bounded subset of C and that if A is self-adjoint, then σ(a) is a subset of R Definition. A self-adjoint operator A different from the zero operator is called positive and we write A 0, if Au u 0 for all u H. If A and B are selfadjoint operators, we write A B if A B is positive Proposition. For a self-adjoint operator A, A 2 is positive. Proof. Clear Definition. A self-adjoint Q operator is called a square root of a positive self-adjoint operator A if Q 2 = A Fact (Theorem 1, section 36 in [12]). Let A be a self-adjoint operator and let E + be the projection of H onto the null space of the operator A Q where Q is the positive square root of A 2. Then (1) Any bounded operator R that commutes with A, commutes with E +. (2) AE + 0, A(Id E + ) Fact (Theorem 2, section 36 in [12]). Let A be a bounded self-adjoint operator, let r be a real number and let E + (r) the projection operator constructed for A r = A ri according to Fact If we denote by E r the projection operator Id E + (r), then the family {E r } r R satisfies the following conditions:

4 4 CAMILO ARGOTY AND ALEXANDER BERENSTEIN (1) Any bounded operator R that commutes with A commutes with E r. (2) E r E s if r < s. (3) E r is continuous on the left: s<r E s = E r. (4) E r = 0 for < r m and E r = I for M < r <, where m = inf(σ(a)) and M = sup(σ(a)) Definition. The family {E r } r [m,m], where σ(a) [m, M] is called the resolution of the identity generated by A Fact (Spectral Decomposition Theorem, section 35 in [12]). Let A be a bounded self-adjoint operator. For every ɛ > 0, A = M+ɛ rde m r, where the integral is to be interpreted as limit of finite sums in the sense of uniform convergence in the space of operators, and m = inf(σ(a)) and M = sup(σ(a)). Let A as above. The Spectral Decomposition Theorem can be interpreted in the following way: given ɛ > 0 and δ > 0 there is an N such that for any partition m = r 0 < s 0 = r 1 < s 1 = r 2 < < s N = M +ɛ with max{s k r k } < 2(M +ɛ)/n, if we write E( k ) for E sk E rk, we have A N k 1 r k E( k ) < δ Definition. Let A be a normal operator. The real and imaginary parts of A are the operators A r = 1 2 (A + A ) and A i = 1 2 (A A ) Fact. The real and imaginary parts A r and A i of a normal operator A are self-adjoint. Proof. For u, v H, A r u v = 1 2 (A + A )u v = u 1 2 (A + A v = u 1 2 (A + A )v = u A r v. Similarly for A i Corollary. If A is a normal operator, then A r and A i have integral representations A r = b a sde s and A i = b a tdf t, where E s F t = F t E s, and we can write A = (s + it)de s df t Definition. A normal operator U on H is said to be unitary if U is a bijection and for any u, v H, Uu Uv = u v Fact (Section 71 in [1]). Let U be a unitary operator. Then there is a unique resolution of the identity {E r r [0, 2π]} such that U k = π 0 eikt de t for all k Z.

5 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 5 We want to know if we can recover Theorem (Theorem in [3]). Let N be a normal operator on H, let B(σ(N)) the algebra of Borel functions from σ(n) into the complex numbers, and let B(H) the algebra of linear operators on H. Then there exist a isometric monomorphism π : B(σ(N)) B(H) such that π( f) = (π(f) ), π(1) = Id and if f = i j a ijz i z j, then π(f) = i j a ijn i (N ) j, where by 1 we denote the constant function on σ(n) with value Fact. Let A be a selfadjoint operator on H. Let m = inf{σ(a)} and M = sup(σ(a)). Let f the function on [m, M] such that f(x) = 0 if x 0 and f(x) = 1 if x > 0. Then f is aproximable by polynomials. Proof. This function clearly belongs to L 2 [m, M] and the polynomials are dense in L 2 [m.m], so the conclusion follows Theorem. Let A be a selfadjoint operator. Let E + be the projection of H onto the null space of the operator A Q where Q is the positive square root of A 2. Then E + is approximable by operators of the form g(a) where g is a polynomial. Proof. For any v H we have E + (v) = M m g(r)de r(v) where g is the function defined in Fact But by 2.22 g(x) can approximated by polynomials, E + can also be approximated by polynomials in A. It is important to note that for a selfadjoint operator A on a Hilbert space H, E + is the limit of a sequence of polynomials in A, but that the sequence does not converge uniformly. That is, given a unit vector v H, E + (v) can be approximated by polynomials in A(v), but the rate of convergence depends on v Definition. The essential spectrum σ e (U) of a linear operator U is the set of accumulation points of the spectrum of U together with the set of eigenvalues of infinite multiplicity. The finite spectrum σ fin (U) of a linear operator U, the complement of σ e (U), is the set of isolated points of the spectrum of U of finite multiplicity.

6 6 CAMILO ARGOTY AND ALEXANDER BERENSTEIN 3. Unitary operators We begin this section by characterizing the theory of the expansion of a Hilbert space with a unitary operator in terms of the spectrum of the operator using an instance of a result by C. Ward Henson: 3.1. Theorem. Let A and B be two normal operators on Hilbert spaces H A, H B respectively. Then the structures (H A, +, 0,, A) and (H B, +, 0,, B) are elementarily equivalent if and only if (1) σ e (A) = σ e (B). (2) dim{x H A : Ax = λx} = dim{x H B : Bx = λx} for λ S 1 \ σ e (A). We will provide a proof for the result when the operators involved have a countable spectrum and are unitary. Henson s original proof (unpublished), based on a Theorem by Voiculescu (see [10]), yields stronger information than our proof, in particular it shows that the theory T h(h, N A ) is separably categorical up to perturbations of the automorphism. We follow the standard way of dealing with Hilbert spaces, we write the structure as (H, +, 0, ) and we work inside the unit ball. We denote by L the language of Hilbert spaces and by L U the language of Hilbert spaces with a new unary function, which we denote as U. Whenever we quantify over H we mean we are quantifying over its unit ball Notation. For λ σ(u), we denote by H λ the set {x H : Ux = λx}, by P λ the projection operator onto the space H λ Theorem. Let U A and U B be two unitary operators with countable spectrum on Hilbert space H. Then the structures (H A, +, 0,, U A ) and (H B, +, 0,, U B ) are elementarily equivalent if and only if (1) σ e (U A ) = σ e (U B ). (2) dim{x H A : U A x = λx} = dim{x H B : U B x = λx} for λ S 1 \σ e (U A ). Proof. ) We may assume the structures are separable and we will write H instead of H A, H B. Assume that the structures (H, +, 0,, U A ) and (H, +, 0,, U B ) are elementarily equivalent. Let σ A be the spectrum of U A and let σ B be the spectrum of U B. For every µ S 1 \ σ A, let η = d(µ, σ A ).

7 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 7 ) Then the statement sup u (η u Uu µu = 0 is true for (H, +, 0,, U A ) and thus true for (H, +, 0,, U B ). Therefore σ B σ A. In a similar way we can show that σ A σ B. For every λ σ A fin whose eigenspace is of dimension m λ, we have that the statement inf max ( u i u j, u i 1, U(u i ) λu i ) = 0 u 1u 2 u mλ is valid in (H, +, 0,, U A ). Thus the same statement is true for (H, +, 0,, U B ). From this condition and the fact that λ is an isolated point in the spectrum it easily follows that dim{x H : U A x = λx} dim{x H : U B x = λx}. In a similar way we can prove that dim{x H : U A x = λx} dim{x H : U B x = λx}. Also, for every λ σe A and every k 1, inf max ( u i u j, u i 1, U(u i ) λu i ) = 0 u 1u 2 u k is true for (H, +, 0, U A ) and thus also true for (H, +, 0,, U B ). This implies that σ A e = σ B e. ) Conversely, assume that σ A e = σ B e and dim{x H : U A x = λx} = dim{x H : U B x = λx} for λ σ A fin. Let σ e = σ A e. We may assume, exchanging (H A, U A ) and (H B, U B ) for elementary superstructures, that (H A, U A ) and (H B, U B ) are ℵ 0 -saturated. Let H fin A H A : U A (x) = λx}. Note that H λ A = λ σfin H λ A, where Hλ A = {x is the domain of a finite dimensional Hilbert subspace of H A. Let H fin B = λ σ fin H λ B, where Hλ B = {x H B : U B (x) = λx}. (H fin B, U B) is a substructure of (H B, U B ). Then for each λ σ fin, (H λ A, U A) = (H λ B, U B), so (H fin A this common substructure as H fin., U A) = (H fin B, U B). We denote Let H C = H A Hfin H B, the free amalgamation of H A and H B over H fin and let U C be the induced unitary map on H C determined by U A and U B. We will prove that (H A, U A ) (H C, U C ) and that (H B, U B ) (H C, U C ). From this we get that the structures (H A, +, 0,, A) and (H B, +, 0,, B) are elementarily equivalent. Claim (H A, A) (H C, C) We use the Tarski-Vaught test. Let ϕ(x 1,..., x n, y) be a formula and let ā = (a 1,..., a n ) H n A. Assume that inf{ϕ(h C,U C ) (a 1,..., a n, b) : b

8 8 CAMILO ARGOTY AND ALEXANDER BERENSTEIN H C } = r and let ɛ > 0. Let b H C be such that ϕ(a 1,..., a n, b) r < ɛ. We may write b = b A + d, where b A = P HA (b), so d H A. There exists k 1 and an L-formula ψ(x 11,..., x n1, y 1 ;... ; x 1k,..., x nk, y k ) such that (H C, C) = sup x1... sup xn sup y ϕ(x 1,..., x n, y) ψ(x 1,..., x n, y;... ; U k (x 1 ),..., U k (x k ), U k (y 0. Clearly d λ σe Hλ B, so d = λ σ e P λ (d). Note that P λ (d) H A so P λ (d) P λ (a i ) for each i n. Since (H A, U A ) is ℵ 0 -saturated, dim(ha λ) = for each λ σ e, so there exists c λ HA λ such that c λ = P λ (d) and c λ P λ (a 1 ),..., P λ (a n ), P λ (b A ). Let c = λ σ e c λ and let b = b A + c. Then tp(c,..., U k (c)/{ā, U(ā),..., U k (ā), b A }) = tp(d,..., U k (d)/{ā, U(ā),..., U k (ā), b A }), so tp(b,..., U k (b)/{ā, U(ā),..., U k (ā)}) = tp(b,..., U k (b )/{ā, U(ā),..., U k (ā)}), so ψ(a 1,..., a n, b,..., U k (a 1 ),..., U k (a k ), U k (b)) = ψ(a 1,..., a n, b,..., U k (a 1 ),..., U k (a k ), U k (b )) and ϕ(a 1,..., a n, b ) r < ɛ. Since ɛ was arbitrary we get inf{ϕ (H C,U C ) (a 1,..., a n, b) : b H C } = r = inf{ϕ (H C,U C ) (a 1,..., a n, b) : b H A } In other words, since Theorem?? this theorem means that the operator theoretic concept of aproximate unitary equivalence and the model theoretic concept of elementary equivalence. The previous Theorem is proved in [6] when σ A = σe A = S 1. Let U be a unitary operator in a separable Hilbert space H and σ be the corresponding spectrum. The previous result says that the theory of the structure (H, U) = (H, +, 0,,, U) determines the dimension of the eigenspace corresponding to the isolated points of the spectrum. We strengthen this observation by showing the definability of these eigenspaces Notation. For λ σ, we denote by B λ the unit ball in the space H λ. Recall that a closed set D H is definable if the function dist(x, D) is a definable predicate. We will use the following characterization of definable sets and functions: 3.5. Fact (Proposition 9.18 of [4]). Let D H be closed. Then D is definable in (H, U) if and only if there is a definable predicate P : H n [0, 1] such that

9 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 9 P (x) = 0 for all x D and ɛ δ x H n (P (x) δ d(x, D) ɛ) Fact (Proposition 9.22 of [4]). Let (H, U ) be κ-saturated where κ is uncountable and let A H have cardinality < κ. Let f : H n H be any function and let G f its graph. Then the following are equivalent: (1) f is definable in (H, U ) over A. (2) G f is type-definable in (H, U ) over A Lemma. Let λ σ be isolated, let χ = d(λ, σ \ {λ}) and let u H. If U(u) λu < ɛ then u P λ (u) < ɛ χ. Proof. Let λ σ be isolated and let u H. Then U(u) λ u = λ σ,λ λ (λ λ )P λ (u) and U(u) λ u 2 = λ σ,λ λ λ λ 2 P λ (u) 2. We have that λ λ 2 χ 2 for all λ σ such that λ λ. If U(u) λ u 2 < ɛ 2, χ 2 λ σ,λ λ P λ(u) 2 < ɛ 2, so that u P λ (u) 2 = λ σ,λ λ P λ(u) 2 < ɛ2 χ Theorem. For every isolated λ σ the subspace H λ is definable. Proof. By Lemma 3.7, we have that if U(u) λu 0, then d(u, H λ ) 0 uniformly on H. By Fact 3.5 H λ is definable. For general λ σ, we have a weaker result: 3.9. Theorem. For every λ σ the subspace H λ is a zero-set. Proof. H λ is the set of solutions of the statement U(v) λv = 0. We will later show (Corollary 3.27) that for λ σ non-isolated, H λ definable. is not Theorem. For every isolated λ the projection P λ is definable. Proof. We work in (H, U ) (H, U) an ℵ 1 -saturated elementary extension of (H, U). By Fact 3.6, it suffices to show that G Pλ is type-definable. Consider the formula ϕ(u, v) = U(v) λv 2 + sup x Bλ v u x 2. Then ϕ(u, v) = 0 if and only if v = P λ (u).

10 10 CAMILO ARGOTY AND ALEXANDER BERENSTEIN Finally we use Theorem 3.3 to give an explicit axiomatization of the theory of the structure (H, +, 0,,, U). We write σ = σ fin σ e and for each λ σ fin let m λ the dimension of H λ. Let T σ be the theory of Hilbert spaces together with the following statements: (1) sup u sup v u v U(u) U(v) = 0 (2) sup u inf v u U(v) = 0 (3) (Schema) (a) For n N and λ σ e, inf max ( u i u j, u i 1, U(u i ) λu i ) = 0 u 1u 2 u n (b) For λ σ fin, χ = d(λ, σ \ {λ}), and 0 < ɛ < 1: inf sup max ( u i u j, u i 1, Uu i λu i, ɛ U(v) λv, u 1u 2 u mλ v (4) (Schema) For µ S 1 \ σ and η = d(µ, σ), v ( ) sup η u Uu µu = 0 u Proposition. The theory T σ axiomatizes T h(h, +, 0,, U). m v u i u i ) χ) ɛ = 0 k=1 Proof. Clearly the statements (1), (2), (3a), (4) hold for (H, +, 0,, rangle, U). By Lemma 3.7 the statements (3b) are true for (H, +, 0,, rangle, U). Now assume that (H, +, 0,,, A) satisfies the axioms above. The first two axioms say that A is an inner product preserving linear map from H onto H and thus is a unitary operator. The fourth axiom says that the spectrum σ A of A is contained in σ. Finally by the third axiom, σe A = σ e and dim{x H : Ax = λx} = dim{x H : Ux = λx} for λ σ A \ σe A. By Theorem 3.3 we get T h(h, +, 0,, U) = T h(h, +, 0,, A). Our next goal is to study the separable models of T h(h, +, 0,, U) and understand the space of types over. This analysis depends heavily on the properties of the spectrum σ of U and we divide our work accordingly.

11 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR Finite spectrum. Let U be a unitary operator with a pure point spectrum. In this subsection we will study the model theory of the structure (H, 0, +,, U), characterizing the definable closure, the algebraic closure and properties of the space of types. We write σ for the spectrum of U Theorem. All the projections P λ, λ σ can be expressed as polynomials in U. Proof. Let σ = {λ 1,..., λ n }. Then for every u H, u = n k=1 P λ k (u) and for every m N, U m (u) = n k=1 λm k P λ k (u). So, u P λ1 (u) U(u) λ 1 λ 2 λ n P λ2 (u) =,.... U n 1 (u) λ n 1 1 λ n 1 2 λ n 1 n P λn (u) λ 1 λ 2 λ n The matrix is the van der Monde matrix, whose determinant is ( 1) n Π i<j (λ i λ j ) 0. This.. λ n 1 1 λ n 1 2 λ n 1 n implies, P λ1 (u) P λ2 (u) λ 1 λ 2 λ n =... P λn (u) λ1 n 1 λ n 1 2 λ n 1 n u U(u). U n 1 (u) Corollary. For each λ σ, the projection P λ is definable. Proof. Clear. Notice that the previous Corollary was already known by Theorem Theorem. The structure (H, 0, +,, U) admits quantifier elimination. Furthermore, for ā = (a 1,..., a n ) H n, tp(ā) is determined by the values of P λ (a k ), P λ (a l ) for λ σ and k, l n.

12 12 CAMILO ARGOTY AND ALEXANDER BERENSTEIN Proof. Let ā = (a 1,..., a n ), b = (b 1,..., b n ) H n. We write qftp(a 1,..., a n ) for the set of quanfier free statements valid for a 1,..., a n H. We will show that qftp(a 1,..., a n ) determines tp(a 1,..., a n ). Assume that qftp(ā) = qftp( b). Then, by Theorem 3.12 P λ (a k ) P λ (a l ) = P λ (b k ) P λ (b l ) for λ σ and k, l = 1,..., n. Let λ σ. We can assume without loss of generality that there exists 0 < k n such that the set {P λ (a 1 ),..., P λ (a k )} is linearly independent and the elements of the set {P λ (a k+1 ),..., P λ (a n )} can be expressed as linear combinations of the elements of {P λ (a 1 ),..., P λ (a k )}. Because qftp(ā) = qftp( b) we have that the set {P λ (b 1 ),..., P λ (b k )} is linearly independent and the elements {P λ (b k+1 ),..., P λ (b n )} can be expressed in terms of the elements of {P λ (b 1 ),..., P λ (b k )} with exactly the same linear combinations as before. For each λ σ, let B1 λ be an orthonormal basis of H λ {P λ (a 1 ),..., P λ (a k )} and let B2 λ be an orthonormal basis of H λ {P λ (b 1 ),..., P λ (b n )}. Then qftp(p λ (a 1 ),..., P λ (a n ), B1 λ ) = qftp(p λ (b 1 ),..., P λ (b n ), B2 λ ). For each λ σ, let f λ : H λ H λ be the linear transformation generated by the map that sends P λ (a k ) into P λ (b k ) for k = 1,..., n and is a bijection between B1 λ and B2 λ. Recall that H = λ σ H λ. Let f : H H be the automorphism induced by the family (f λ : λ σ) (we can write u H as λ σ u λ, where u λ = P λ (u). Then f( λ σ u λ) = λ σ f λ(u λ )). Clearly f(ā) = b and for any c H, f(u(c)) = U(f(c)) so f is an automorphism of the structure (H, U). This implies tp(ā) = tp( b) Lemma. Let A H. Then dcl(a) is the closed Hilbert space generated by the set {P λ (a) : a A, λ σ}. Proof. Let A be a subset of H and E be the closed vector space generated by the set {P λ (a) a A, λ σ}. We first show that E dcl(a). Let b E. Then there exists a sequence (c n,λ : n ω, λ σ) of complex numbers and a sequence (a n,λ : n ω, λ σ) of elements of A such that b = k=0,λ σ c k,λp λ (a k,λ ). Thus ɛ > 0 N n N, b n k=0,λ σ c k,λp λ (a k,λ ) < ɛ. Let R(x) = x b and φ n (x) := x n k=0,λ σ c kp λ (a k,λ ). Then ɛ > 0 N n N x( R(x) φ n (x) < ɛ) and {b} is definable over A.

13 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 13 Let b E, then for some λ 0 σ, P λ0 (b) E. Since there are infinitely many vectors in H λ0 E with norm P λ0 (b P E (b)), there are infinitely many realizations of tp(b/a) and therefore b dcl(a) Lemma. Let A H. Then acl(a) is the closed Hilbert space generated by the union of dcl(a) with all the finite dimensional subspaces H λ with λ σ fin. Proof. Every ball B λ for λ σ fin is algebraic over because the closed unit ball of a finite dimensional space is compact. Therefore dcl(a) λ σfin H λ acl(a). Conversely, let E be the closure of the space generated by dcl(a) and λ σfin H λ. If b E, then P λ0 (b) P λ0 (P E (b)) 0 for some λ 0 σ e. Without loss of generality the dimension of H λ0 dcl(a) is infinite and the set {b H : tp(b /A) = tp(b/a)} is unbounded, thus b acl(a) Proposition. Let p, q S 1 ( ) and let a = p, b = q. Then d(p, q) = λ σ ( P λ(a) P λ (b) ) 2. Proof.. It is easy to see that: a b = a 2 2 a b + b 2 = = ( P λ (a) 2 2 P λ (a) P λ (b) + P λ (b) 2 ) = Then, λ σ ( P λ (a) 2 2 P λ (a) P λ (b) + P λ (b) 2 ) λ σ ( P λ (a) P λ (b) ) 2 λ σ d(p, q) = inf{ a b H = p(a ) and H = q(b )} ( P λ (a) P λ (b) ) 2. λ σ. Let a, b be such that tp(a) = tp(a ) and tp(b) = tp(b ). Then P λ (a) = P λ (a ) and P λ (b) = P λ (b ) for λ σ, but the inner products P λ (a ) P λ (b ) depend on the choice of a and b. We may choose a and b such that for each

14 14 CAMILO ARGOTY AND ALEXANDER BERENSTEIN λ σ, P λ (a ) P λ (b ) = P λ (a ) P λ (b ). Then, d(p, q) = inf{ a b H = p(a) and H = q(b)} a b = = a 2 2 a b + b 2 = ( P λ (a ) 2 2 P λ (a ) P λ (b ) + P λ (b ) 2 ) = = = λ σ ( P λ (a ) 2 2 P λ (a ) P λ (b ) + P λ (b ) 2 ) = λ σ ( P λ (a) P λ (b) ) 2. λ σ Definition. Recall that the theory of a metric structure M is called separably categorical if whenever N 1, N 2 = T h(m) are separable we have N 1 = N Lemma. The theory T σ is separably categorical. Proof. Let (H, U ) and (H, U ) be separable models of T σ. Then for each λ σ, dim(h λ ) = dim(h λ ) (which is either finite or ℵ 0). Hence, we have that for every λ σ, H λ = H λ and thus (H, U ) = (H, U ). One could also prove the previous Lemma using Proposition It is clear that the formula presented in Proposition 3.17 is definable and thus the logic topology and the distance topology agree on the space of types and by Theorem 12.4 [4] T σ is separably categorical Definition. The theory of a metric structure Mis called ω-stable if for any N = T h(m) and A N countable, S(A) is separable Theorem. The theory T σ is ω-stable. Proof. Let H = T σ be separable and let A H be a countable set. Let Ā be the algebraic closure of A and write H = Ā + Ā = λ σ H λ. For each λ σ e, let H λ be a separable Hilbert space such that H λ H λ = {0} and let H = H λ σe H λ. We define for each v H λ, U λ (v) = λv and let U be the unitary map on H induced by U and U λ, λ σ e. Then (H, U ) = T σ and dim(h λ Ā ) = for

15 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 15 each λ σ e. In particular, by Theorem 3.14 H realizes all types over A, so we can work inside the structure H. Since H is separable, so is S(A) Countably infinite spectrum. Our next step is to consider a unitary operator U with countable spectrum σ. We write σ = σ a σ i, where σ i are the isolated points of the spectrum and σ a are the non-isolated points of the spectrum Theorem. The following properties are true: (1) T σ has quantifier elimination. Furtheromore, for any ā H n, tp(ā) is determined by the values P λ (a k ), P λ (a j ) for λ σ, j, l n. (2) T σ is ω-stable. Proof. (1) It follows from Lemma?? that for any v H and λ σ, P λ (v) is in the quantifier free definable closure of v. The rest o the proof follows as in Theorem (2) We can proceed as in Theorem Proposition. Let p, q S 1 ( ) and let a = p, b = q. Then d(p, q) = λ σ ( P λ(a) P λ (b) ) 2. Proof. Similar to Proposition Theorem. The principal types in S 1 (T ) are the ones of elements a H with P λ (a) = 0 for λ σ a. Proof. We can build a structure (H, 0, +,, U ) elementarily equivalent to (H, 0, +,, U) such that H λ = 0 for all λ σ a. In this structure the types of elements a such that P λ (a) 0 for some λ σ a are omitted. Conversely, assume that a is such that P λ (a) = 0 for all λ σ a and let (H, 0, +,,, U ) be a model of T σ. By Theorem 3.10 the projections P λ are definable for every isolated λ σ and thus H λ 0. Let a λ H λ be such that a λ = P λ(a) for each λ σ i and let a = λ σ i a λ. Then a H and tp(a) = tp(a ). One could also use Proposition 3.23 to prove the previous Theorem.

16 16 CAMILO ARGOTY AND ALEXANDER BERENSTEIN Corollary. The atomic models of T σ are the models in which the accumulation points of the spectrum are not eigenvalues Corollary. The ℵ 0 -saturated models of T σ are the ones in which the accumulation points of the spectrum are eigenvalues whose eigenspace is infinite dimensional Corollary. For λ σ a, the set H λ is not definable and the function P λ is not definable. Proof. Assume, in order to get a contradiction, that H λ is definable. In an ℵ 0 - saturated structure the statement inf u Hλ ( u 1) 2 = 0 is true. Thus in the prime model this property also holds and there is a vector of norm one in H λ, a contradiction. Assume now that P λ is definable. Then x P λ (x) measures the distance from x into H λ (x) and thus H λ is definable, a contradiction Theorem. If σ a is finite then T σ has ℵ 0 nonisomorphic separable models. If σ a is infinite then T σ has 2 ℵ0 nonisomorphic separable models. Proof. Let H and H be separable models of T σ. We can write H = λ σ i σ a H λ and H = λ σ i σ a H λ. For λ σ i, H λ = H λ, so the only diference between H and H can come from the spaces H λ and H λ for λ σ a. For such λ, the spaces H λ and H λ are isomorphic if and only if dim(h λ) = dim(h λ ). Assume first that σ a is a finite non-empty set. So there is exactly one model up to isomorphism for every possible dimension of H λ for λ σ a. Thus there are ℵ 0 nonisomorphic separable models of the theory T σ. On the other hand, if σ a is an infinite countable set, there are 2 ℵ0 nonisomorphic separable models of T σ Forking. We fix a countable spectrum σ and a structure (H, U) = T σ which is κ-saturated and strongly κ-homogeneous for some uncountable inaccessible cardinal κ. We say A H is small if A < κ Definition. (1) Let ā = (a 1,..., a m ) H m ; let B, C H be small, let B C = acl(b C) and C = acl(c). We write ā B and say that ā is - C independent from B over C if P B C (P λ (a i )) = P C(P λ (a i )) for i = 1,..., m and λ σ. (2) For A, B, C H small we say A B if and only if for all finite subsets ā C of A, we have that ā B. C

17 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR Lemma. Let B be an algebraically closed small set in (H, U). Then for every λ σ and for every a H, P λ (P B (a)) = P B (P λ (a)). Proof. We first need the following claim: Claim. P B and U commute Proof. Let a H. We can write a = a B + a B, where a B = P B (a) and a B = a a B. Then U(a) = U(a B ) + U(a B ). For any b B, U(b), U (b) B. Thus b U(a B ) = U (b) a B = 0. This implies that U(a B ) B and U(a B ) B ; P B (U(a)) = P B (U(a B ) + U(a B )) = U(a B ) and thus P B (U(a)) = U(P B (a)). The result follows from Fact 2.13 part Notation. For A H small, we write Ā for acl(a) Corollary. Let ā = (a 1,..., a m ) H m ; let B, C H be small. Then ā B C if and only if P B C (a i ) = P C (a i ) for i m. Proof. Assume first that ā B, then P C B C (P λ(a i )) = P C(P λ (a i )) for any i n. By Lemma 3.30 we get P λ (P B C (a i )) = P λ (P C(a i )) for all λ and thus P B C (a i ) = P C(a i ). The converse is proved in a similar way Proposition. Given two tuples ā = (a 1,..., a n ) and b = (b 1,..., b m ) and a small set C, ā b C if and only if Pλ (a k ) P C λ(b j ) for k = 1,..., n; j = 1,..., m and λ σ. Proof. Let ā = (a 1,..., a n ) and b = (b 1,..., b m ). If ā b, C then we have that, P (P {b1,...,b m} C λ(a i )) = P C(P λ (a i )) for every i = 1,..., n and λ σ. For λ σ and j m, we have C C {P λ (b j )} C {b j } C {b 1,..., b m }, so for every i = 1,..., n, P {Pλ (b (P j)} C λ(a i )) = P C(P λ (a i )). Conversely, let us suppose that P {Pλ (b (P j)} C λ(a k )) = P C(P λ (a k )) for all λ σ, k = 1,..., n, j = 1,..., m. We fix λ σ. We can write P λ (a k ) = P C(P λ (a k ))+P C (P λ (a k )). Since P {Pλ (b (P j)} C λ(a k )) = P C(P λ (a k )) for every j = 1,..., m, then P C (P λ (a k )) P λ (b j ) for j = 1,..., m and P C (P λ (a k )) C {P λ (b j )} for j = 1,..., m.

18 18 CAMILO ARGOTY AND ALEXANDER BERENSTEIN Thus P C (P λ (a k )) C {P λ (b 1 ),..., P λ (b m )} and P C {Pλ (b 1),...,P λ (b (P m)} λ(a k )) = P C(P λ (a k )). Since P (P C {b1,...,b n} λ(a k )) belongs to the closed space H λ, we also get P C {Pλ (b 1),...,P λ (b (P m)} λ(a k )) = P (P C {b1,...,b m} λ(a k )). So P (P C {b1,...,b m} λ(a i )) = P C(P λ (a i )) for any λ σ and then ā b. C Lemma. Let C H be algebraically closed and let ā = (a 1,..., a n ) H n, b = (b1..., b m ) H m be tuples in H. Then ā b C if and only if Pλ (a k ) P C(P λ (a k )) P λ (b j ) for k = 1,..., n, j = 1,..., m and λ σ. Proof. Given two tuples ā = (a 1,..., a n ) and b = (b 1,..., b m ), by Proposition 3.34 ā b C if and only if Pλ (a k ) P C λ(b j ) for k = 1,..., n, j = 1,..., m and λ σ. This happens if and only if P C {Pλ (b (P j)} λ(a k )) = P C(P λ (a k )) for k = 1..., n, j = 1,..., m and λ σ. Finally, P C {Pλ (b (P j)} λ(a k )) = P C(P λ (a k )) if and only if P λ (a k ) P C(P λ (a k )) P λ (b j ) Theorem. The relation satisfies the following properties: finite character, local character, transitivity, symmetry, invariance, existence and stationarity. Proof. We prove all the properties: (1) Finite character: we show that ā C B if and only if ā C B 0 for all finite B 0 B. First of all, if ā C B and B B then ā C B. If ā C B, P B C (a k ) P C(a k ) for some 1 k n. Let b = P B C (a k ) P C(a k ). Then there exist b 1,..., b l B, c 1,..., c m C, λ 1,..., λ l+m σ and α 1,..., α n, β 1,..., β m C such that b l k=1 α kp λk (b k ) m j=1 β jp λl+j (c j ) < b /2. Let B 0 = {b 1,..., b l }, then ā C B 0. (2) Local Character: For every a and B there exists a sequence (d n : n ω) such that d n P B(a) and d n = α 1n P λ1n (b 1n ) + + α knnp λknn (b knn) where b ij B, λ ij σ and α ij C. Let B 0 = {b ij : i j, j ω}. B 0 B is countable and a B 0 B. (3) Transitivity of independence: Let A B C H be small and let ā = (a 1,..., a n ). If ā A C, P C(a k ) = P Ā (a k ) for k = 1,..., n. So, P C(a k ) = P B(a k ) = P Ā (a k ) for k = 1,..., n and therefore ā B C and ā B. The converse is proved in a similar way. A (4) Symmetry: It enough to show that for any tuples ā = (a 1,..., a n ) and b = (b1,..., b m ) and small sets C, ā b C if and only if b ā. Let C

19 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 19 λ σ, k n and j m, we can write P λ (a k ) = P λ (a k C) + P λ (a k C ) and P λ (b j ) = P λ (b j C) + P λ (b j C ), where a k C = P C(a k ), a k C = P C (a k ). If ā C b by Lemma 3.35 Pλ (a k ) P λ (a k C) P λ (b j ) then P λ (a k C ) P λ (b j C) + P λ (b j C ) = 0. So P λ (a k C ) P λ (b j C) + P λ (a k C ) P λ (b j C ) = 0. By Lemma 3.30 P λ (a k C ) P λ (b j C) = 0, so P λ (a k C ) P λ (b j C ) = 0. On the other hand, by Lemma 3.30 P λ (a k C) P λ (b j C ) = 0, so P λ (a k ) P λ (b j C ) = 0. Thus P λ (a k ) P λ (b j ) P λ (b j C) = 0 and therefore P λ (a k ) P λ (b j ) P λ (P C(b j )). By Lemma 3.35, this implies that b ā which completes the proof C (5) Invariance: For every u, v H and f Aut(H), u v = f(u) f(v). Let ā = (a 1,..., a n ) and b = (b 1,..., b m ). Then ā C b if and only if P λ (a k ) P λ (P C(a k )) P λ (b j ) for every k = 1,..., n, j = 1,..., m and λ σ if and only if P λ (f(a k )) P λ (P f( C) (f(a k ))) P λ (f(b j )). (6) Existence: Let ā = (a 1,..., a n ) H n and let A H be small. By quantifier elimination, the type tp(ā/a) is determined by P Ā (P λ (a k )) for λ σ and the inner products P λ (a k ) P λ (a j ) for k, j n. Let b H n and B A be small. tp( b/b) is a free extension of tp(ā/a) if and only if tp( b/a) = tp(ā/a) and P B(P λ (b k )) = P Ā (P λ (a k )) for all λ σ and k = 1,..., n. For each λ σ, let a λ kā = P Ā (P λ(a k )), a λ kā = PĀ (P λ (a k )). Since B is small, for each λ σ e, dim(h λ B ) =, so we can find d λ k H λ B with a λ = d λ kā k. Let b k = λ σ (aλ kā + dλ k ) and let b = (b1,..., b n ). Then tp(ā/a) = tp( b/a) and P B(P λ (b k )) = P Ā (P λ (a k )) for k = 1,... n. (7) Stationarity: Let ā = (a 1,..., a n ), b = (b 1,..., b n ), b = (b 1,..., b n) H n and let A B H be small. Assume that the types of b and b over B are free extensions of tp(ā/a). Then tp( b/a) = tp( b /A) and for every λ σ and i n, P B(P λ (b i )) = P Ā (P λ (b i )) = P Ā (P λ (b i )) = P B(P λ (b i )). Thus tp( b/b) = tp( b /B). Therefore for every p S(A) {tp(ā/b) ā A B, p tp(ā/b)} = Corollary. The theory T σ is stable and -independence coincides with the notion of independence induced by forking.

20 20 CAMILO ARGOTY AND ALEXANDER BERENSTEIN Observation. We had shown in Theorem 3.20 that T σ is ω-stable and thus it has prime models over sets. Let A H be small. For each λ σ i such that dim(h λ ) = and dim(p λ (Ā)) < ℵ 0, let H λ be a subspace of H λ of dimension ℵ 0. Then A λ σi H λ is the prime model over A of T σ. It also follows from ω-stability that for every infinite cardinal µ, T σ has a µ- saturated model of dimension µ. Indeed, for each λ σ e, let H λ be a subspace of H λ of dimension µ. Then H λ = T σ has dimension µ and it is saturated Definition. Let A H be small and p, q S n (A). We say that p is almost orthogonal to q (p a q) if for all ā = p and b = q ā A b Definition. Let A H and p, q S n (A). We say that p is orthogonal to q (p q) if for all B A, p B p a non-forking extension, and q B q a non-forking extension, p B a q B Theorem. Let A H be such that A = acl(a). Let p, q S 1 (A), let a = p and b = q. Let a = P A (a) + a and b = P A (b) + b, let σ p = {λ σ e : P λ (a ) 0} σ q = {λ σ e : P λ (b ) 0}, then, p q if and only if p a q if and only if σ p σ q =. Proof. Assume that p q, then p a q. Let a = p and b = q, let a = a P A (a) and b = b P A (b). The type tp(a/a) is determined by P A (a) and the norms of P λ (a ) for λ σ e. Assume, in order to get a contradiction, that P λ0 (a ) 0 and P λ0 (b ) 0 for some λ 0 σ e. Let a, b such that tp(a /A) = tp(a /A), tp(b /A) = tp(b /A) and P λ0 (a ) is a multiple P λ0 (b ). Then tp(p A (a) + a /A) = tp(a/a) and tp(p A (b) + b /A) = tp(b/a) but (P A (a) + a ) A (P A(b) + b ), a contradiction to p w q. Conversely, assume that σ p σ q =. Let B A and let p B p, q B q be nonforking extensions. Let c and d realizations of p B and q B respectively. We may write c = c B +c, d = d B +d where c B d B are the projections of c and d over acl(b) = B. Then σ pb = σ p and σ qb = σ q. Then c d = ( λ σ p P λ (a ) µ σ q P µ (b ) = λ σ p µ σ q P λ (c ) P µ (d ) = 0. Then c d and c B d. A generalization of the previous result appears in [6] when σ fin = and A =.

21 HILBERT SPACES EXPANDED WITH A UNITARY OPERATOR 21 References [1] N.I. Akhiezer, I.M. Glazman, Theory of linear operators in Hilbert Space vols.i and II. Pitman Advanced Publishing Program, [2] Itaï Ben Yaacov, On perturbations of continuous structures, submitted. [3] W. Arveson, A short course in spectral theory. Springer Verlag, [4] Itaï Ben Yaacov, Alexander Berenstein, C. Ward Henson and Alexander Usvyatsov, Model theory for metric structures, to appear in the Proceedings of the Isaac Newton Institute s semester on Model Theory and its applications. [5] Itaï Ben Yaacov and Alexander Usvyatsov, Continuous first order logic and local stability. submitted. [6] Itaï Ben Yaacov, Alexander Usvyatsov and Moshe Zadka, Generic automorphism of a Hilbert space, preprint. [7] Alexander Berenstein, and Steven Buechler, Simple stable homogeneous expansions of Hilbert spaces. Annals of of pure and Applied Logic. Vol. 128 (2004) pag [8] Steven Buechler, Essential stability theory. Springer Verlag, [9] R. Dautray, L. Lions, Mathematical analysis and numerical methods for science and technology, volume 3. [10] Kenneth Davidson, C -Algebras by example, Field Institute Monographs, [11] José Iovino, Stable theories in functional analysis University of Illinois Ph.D. Thesis, [12] L. Liusternik and V. Sobolev, Elements of Functional Analysis. Frederic Ungar Publishing Co., New York, [13] M. Reed, B. Simon, Methods of modern mathematicalphysics volume I:Functional analysis, revised and enlarged edition. Academic Press, [14] Werner Schmeidler, Linear Operators in Hilbert Space, Academic Press, Camilo Argoty, Universidad de los Andes, Departamento de Matemáticas, Cra 1# 18A-10, Bogotá, Colombia. and, Universidad Sergio Arboleda, Departamento de Matemáticas, address: c-argoty@uniandes.edu.co Alexander Berenstein, Universidad de los Andes, Departamento de Matemáticas, Carrera 1 N 18A-10, Bogotá, Colombia. address: aberenst@uniandes.edu.co

arxiv:math.lo/ v1 28 Nov 2004

arxiv:math.lo/ v1 28 Nov 2004 HILBERT SPACES WITH GENERIC GROUPS OF AUTOMORPHISMS arxiv:math.lo/0411625 v1 28 Nov 2004 ALEXANDER BERENSTEIN Abstract. Let G be a countable group. We proof that there is a model companion for the approximate

More information

Introduction. Itaï Ben-Yaacov C. Ward Henson. September American Institute of Mathematics Workshop. Continuous logic Continuous model theory

Introduction. Itaï Ben-Yaacov C. Ward Henson. September American Institute of Mathematics Workshop. Continuous logic Continuous model theory Itaï Ben-Yaacov C. Ward Henson American Institute of Mathematics Workshop September 2006 Outline Continuous logic 1 Continuous logic 2 The metric on S n (T ) Origins Continuous logic Many classes of (complete)

More information

Algebraic closure in continuous logic

Algebraic closure in continuous logic Revista Colombiana de Matemáticas Volumen 41 (2007), páginas 279 285 Algebraic closure in continuous logic C. Ward Henson Hernando Tellez University of Illinois, Urbana-Champaign, USA Abstract. We study

More information

Analysis Preliminary Exam Workshop: Hilbert Spaces

Analysis Preliminary Exam Workshop: Hilbert Spaces Analysis Preliminary Exam Workshop: Hilbert Spaces 1. Hilbert spaces A Hilbert space H is a complete real or complex inner product space. Consider complex Hilbert spaces for definiteness. If (, ) : H H

More information

DEFINABLE OPERATORS ON HILBERT SPACES

DEFINABLE OPERATORS ON HILBERT SPACES DEFINABLE OPERATORS ON HILBERT SPACES ISAAC GOLDBRING Abstract. Let H be an infinite-dimensional (real or complex) Hilbert space, viewed as a metric structure in its natural signature. We characterize

More information

Model theory for metric structures

Model theory for metric structures Model theory for metric structures Itaï Ben Yaacov Alexander Berenstein C. Ward Henson Alexander Usvyatsov Contents 1 Introduction 1 2 Metric structures and signatures 4 3 Formulas and their interpretations

More information

SEPARABLE MODELS OF RANDOMIZATIONS

SEPARABLE MODELS OF RANDOMIZATIONS SEPARABLE MODELS OF RANDOMIZATIONS URI ANDREWS AND H. JEROME KEISLER Abstract. Every complete first order theory has a corresponding complete theory in continuous logic, called the randomization theory.

More information

Stable embeddedness and N IP

Stable embeddedness and N IP Stable embeddedness and N IP Anand Pillay University of Leeds January 14, 2010 Abstract We give some sufficient conditions for a predicate P in a complete theory T to be stably embedded. Let P be P with

More information

ω-stable Theories: Introduction

ω-stable Theories: Introduction ω-stable Theories: Introduction 1 ω - Stable/Totally Transcendental Theories Throughout let T be a complete theory in a countable language L having infinite models. For an L-structure M and A M let Sn

More information

The following definition is fundamental.

The following definition is fundamental. 1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic

More information

PRESERVATION THEOREMS IN LUKASIEWICZ MODEL THEORY

PRESERVATION THEOREMS IN LUKASIEWICZ MODEL THEORY Iranian Journal of Fuzzy Systems Vol. 10, No. 3, (2013) pp. 103-113 103 PRESERVATION THEOREMS IN LUKASIEWICZ MODEL THEORY S. M. BAGHERI AND M. MONIRI Abstract. We present some model theoretic results for

More information

GENERALIZED AMALGAMATION IN SIMPLE THEORIES AND CHARACTERIZATION OF DEPENDENCE IN NON-ELEMENTARY CLASSES

GENERALIZED AMALGAMATION IN SIMPLE THEORIES AND CHARACTERIZATION OF DEPENDENCE IN NON-ELEMENTARY CLASSES GENERALIZED AMALGAMATION IN SIMPLE THEORIES AND CHARACTERIZATION OF DEPENDENCE IN NON-ELEMENTARY CLASSES By Alexei Kolesnikov Submitted in partial fulfillment of the requirements for the degree of Doctor

More information

VAUGHT S THEOREM: THE FINITE SPECTRUM OF COMPLETE THEORIES IN ℵ 0. Contents

VAUGHT S THEOREM: THE FINITE SPECTRUM OF COMPLETE THEORIES IN ℵ 0. Contents VAUGHT S THEOREM: THE FINITE SPECTRUM OF COMPLETE THEORIES IN ℵ 0 BENJAMIN LEDEAUX Abstract. This expository paper introduces model theory with a focus on countable models of complete theories. Vaught

More information

More Model Theory Notes

More Model Theory Notes More Model Theory Notes Miscellaneous information, loosely organized. 1. Kinds of Models A countable homogeneous model M is one such that, for any partial elementary map f : A M with A M finite, and any

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability... Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................

More information

SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS

SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS G. RAMESH Contents Introduction 1 1. Bounded Operators 1 1.3. Examples 3 2. Compact Operators 5 2.1. Properties 6 3. The Spectral Theorem 9 3.3. Self-adjoint

More information

GEOMETRIC STRUCTURES WITH A DENSE INDEPENDENT SUBSET

GEOMETRIC STRUCTURES WITH A DENSE INDEPENDENT SUBSET GEOMETRIC STRUCTURES WITH A DENSE INDEPENDENT SUBSET ALEXANDER BERENSTEIN AND EVGUENI VASSILIEV Abstract. We generalize the work of [13] on expansions of o-minimal structures with dense independent subsets,

More information

REAL AND COMPLEX ANALYSIS

REAL AND COMPLEX ANALYSIS REAL AND COMPLE ANALYSIS Third Edition Walter Rudin Professor of Mathematics University of Wisconsin, Madison Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any

More information

COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE

COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE MICHAEL LAUZON AND SERGEI TREIL Abstract. In this paper we find a necessary and sufficient condition for two closed subspaces, X and Y, of a Hilbert

More information

1 Functional Analysis

1 Functional Analysis 1 Functional Analysis 1 1.1 Banach spaces Remark 1.1. In classical mechanics, the state of some physical system is characterized as a point x in phase space (generalized position and momentum coordinates).

More information

The nite submodel property and ω-categorical expansions of pregeometries

The nite submodel property and ω-categorical expansions of pregeometries The nite submodel property and ω-categorical expansions of pregeometries Marko Djordjevi bstract We prove, by a probabilistic argument, that a class of ω-categorical structures, on which algebraic closure

More information

Forking and Dividing in Random Graphs

Forking and Dividing in Random Graphs Forking and Dividing in Random Graphs Gabriel Conant UIC Graduate Student Conference in Logic University of Notre Dame April 28-29, 2012 Gabriel Conant (UIC) Forking and Dividing in Random Graphs April

More information

INDEPENDENCE RELATIONS IN RANDOMIZATIONS

INDEPENDENCE RELATIONS IN RANDOMIZATIONS INDEPENDENE RELATIONS IN RANDOMIZATIONS URI ANDREWS, ISAA GOLDBRING, AND H. JEROME KEISLER Abstract. The randomization of a complete first order theory T is the complete continuous theory T R with two

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

Spectral Measures, the Spectral Theorem, and Ergodic Theory

Spectral Measures, the Spectral Theorem, and Ergodic Theory Spectral Measures, the Spectral Theorem, and Ergodic Theory Sam Ziegler The spectral theorem for unitary operators The presentation given here largely follows [4]. will refer to the unit circle throughout.

More information

REVIEW OF ESSENTIAL MATH 346 TOPICS

REVIEW OF ESSENTIAL MATH 346 TOPICS REVIEW OF ESSENTIAL MATH 346 TOPICS 1. AXIOMATIC STRUCTURE OF R Doğan Çömez The real number system is a complete ordered field, i.e., it is a set R which is endowed with addition and multiplication operations

More information

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite

More information

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3 Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

EXISTENTIALLY CLOSED II 1 FACTORS. 1. Introduction

EXISTENTIALLY CLOSED II 1 FACTORS. 1. Introduction EXISTENTIALLY CLOSED II 1 FACTORS ILIJAS FARAH, ISAAC GOLDBRING, BRADD HART, AND DAVID SHERMAN Abstract. We examine the properties of existentially closed (R ω -embeddable) II 1 factors. In particular,

More information

c 2010 Hernando Tellez

c 2010 Hernando Tellez c 2010 Hernando Tellez CONTRIBUTIONS TO MODEL THEORY OF METRIC STRUCTURES BY HERNANDO TELLEZ DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in

More information

More on invariant types in NIP theories

More on invariant types in NIP theories More on invariant types in NIP theories Pierre Simon June 22, 2013 This note is not intended for publication in its present form. I wrote it to be used as a reference for other papers (mainly [CPS13])

More information

IMAGINARIES IN HILBERT SPACES

IMAGINARIES IN HILBERT SPACES IMAGINARIES IN HILBERT SPACES ITAY BEN-YAACOV AND ALEXANDER BERENSTEIN Abstract. We characterise imaginaries (up to interdefinability) in Hilbert spaces using a Galois theory for compact unitary groups.

More information

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define 1 Measures 1.1 Jordan content in R N II - REAL ANALYSIS Let I be an interval in R. Then its 1-content is defined as c 1 (I) := b a if I is bounded with endpoints a, b. If I is unbounded, we define c 1

More information

ABSTRACT INTEGRATION CHAPTER ONE

ABSTRACT INTEGRATION CHAPTER ONE CHAPTER ONE ABSTRACT INTEGRATION Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any form or by any means. Suggestions and errors are invited and can be mailed

More information

Group construction in geometric C-minimal non-trivial structures.

Group construction in geometric C-minimal non-trivial structures. Group construction in geometric C-minimal non-trivial structures. Françoise Delon, Fares Maalouf January 14, 2013 Abstract We show for some geometric C-minimal structures that they define infinite C-minimal

More information

AMS regional meeting Bloomington, IN April 1, 2017

AMS regional meeting Bloomington, IN April 1, 2017 Joint work with: W. Boney, S. Friedman, C. Laskowski, M. Koerwien, S. Shelah, I. Souldatos University of Illinois at Chicago AMS regional meeting Bloomington, IN April 1, 2017 Cantor s Middle Attic Uncountable

More information

OPERATOR THEORY ON HILBERT SPACE. Class notes. John Petrovic

OPERATOR THEORY ON HILBERT SPACE. Class notes. John Petrovic OPERATOR THEORY ON HILBERT SPACE Class notes John Petrovic Contents Chapter 1. Hilbert space 1 1.1. Definition and Properties 1 1.2. Orthogonality 3 1.3. Subspaces 7 1.4. Weak topology 9 Chapter 2. Operators

More information

Trace Class Operators and Lidskii s Theorem

Trace Class Operators and Lidskii s Theorem Trace Class Operators and Lidskii s Theorem Tom Phelan Semester 2 2009 1 Introduction The purpose of this paper is to provide the reader with a self-contained derivation of the celebrated Lidskii Trace

More information

Weight and measure in NIP theories

Weight and measure in NIP theories Weight and measure in NIP theories Anand Pillay University of Leeds September 18, 2011 Abstract We initiate an account of Shelah s notion of strong dependence in terms of generically stable measures, proving

More information

SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT

SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT Abstract. These are the letcure notes prepared for the workshop on Functional Analysis and Operator Algebras to be held at NIT-Karnataka,

More information

CHAPTER VIII HILBERT SPACES

CHAPTER VIII HILBERT SPACES CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)

More information

ISAAC GOLDBRING AND THOMAS SINCLAIR

ISAAC GOLDBRING AND THOMAS SINCLAIR ON THE AXIOMATIZABILITY OF C -ALGEBRAS AS OPERATOR SYSTEMS ISAAC GOLDBRING AND THOMAS SINCLAIR Abstract. We show that the class of unital C -algebras is an elementary class in the language of operator

More information

On compact operators

On compact operators On compact operators Alen Aleanderian * Abstract In this basic note, we consider some basic properties of compact operators. We also consider the spectrum of compact operators on Hilbert spaces. A basic

More information

A Brief Introduction to Functional Analysis

A Brief Introduction to Functional Analysis A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with

More information

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify

More information

Löwenheim-Skolem Theorems, Countable Approximations, and L ω. David W. Kueker (Lecture Notes, Fall 2007)

Löwenheim-Skolem Theorems, Countable Approximations, and L ω. David W. Kueker (Lecture Notes, Fall 2007) Löwenheim-Skolem Theorems, Countable Approximations, and L ω 0. Introduction David W. Kueker (Lecture Notes, Fall 2007) In its simplest form the Löwenheim-Skolem Theorem for L ω1 ω states that if σ L ω1

More information

Problem Set 2: Solutions Math 201A: Fall 2016

Problem Set 2: Solutions Math 201A: Fall 2016 Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that

More information

Chapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries

Chapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries Chapter 1 Measure Spaces 1.1 Algebras and σ algebras of sets 1.1.1 Notation and preliminaries We shall denote by X a nonempty set, by P(X) the set of all parts (i.e., subsets) of X, and by the empty set.

More information

Model Theory and Forking Independence

Model Theory and Forking Independence Model Theory and Forking Independence Gabriel Conant UIC UIC Graduate Student Colloquium April 22, 2013 Gabriel Conant (UIC) Model Theory and Forking Independence April 22, 2013 1 / 24 Types We fix a first

More information

Measurable functions are approximately nice, even if look terrible.

Measurable functions are approximately nice, even if look terrible. Tel Aviv University, 2015 Functions of real variables 74 7 Approximation 7a A terrible integrable function........... 74 7b Approximation of sets................ 76 7c Approximation of functions............

More information

4 Countability axioms

4 Countability axioms 4 COUNTABILITY AXIOMS 4 Countability axioms Definition 4.1. Let X be a topological space X is said to be first countable if for any x X, there is a countable basis for the neighborhoods of x. X is said

More information

Stable embeddedness and N IP

Stable embeddedness and N IP Stable embeddedness and N IP arxiv:1001.0515v1 [math.lo] 4 Jan 2010 Anand Pillay University of Leeds January 4, 2010 Abstract We give some sufficient conditions for a predicate P in a complete theory T

More information

2.2 Annihilators, complemented subspaces

2.2 Annihilators, complemented subspaces 34CHAPTER 2. WEAK TOPOLOGIES, REFLEXIVITY, ADJOINT OPERATORS 2.2 Annihilators, complemented subspaces Definition 2.2.1. [Annihilators, Pre-Annihilators] Assume X is a Banach space. Let M X and N X. We

More information

THE PROBLEMS FOR THE SECOND TEST FOR BRIEF SOLUTIONS

THE PROBLEMS FOR THE SECOND TEST FOR BRIEF SOLUTIONS THE PROBLEMS FOR THE SECOND TEST FOR 18.102 BRIEF SOLUTIONS RICHARD MELROSE Question.1 Show that a subset of a separable Hilbert space is compact if and only if it is closed and bounded and has the property

More information

Solutions to Unique Readability Homework Set 30 August 2011

Solutions to Unique Readability Homework Set 30 August 2011 s to Unique Readability Homework Set 30 August 2011 In the problems below L is a signature and X is a set of variables. Problem 0. Define a function λ from the set of finite nonempty sequences of elements

More information

MATH & MATH FUNCTIONS OF A REAL VARIABLE EXERCISES FALL 2015 & SPRING Scientia Imperii Decus et Tutamen 1

MATH & MATH FUNCTIONS OF A REAL VARIABLE EXERCISES FALL 2015 & SPRING Scientia Imperii Decus et Tutamen 1 MATH 5310.001 & MATH 5320.001 FUNCTIONS OF A REAL VARIABLE EXERCISES FALL 2015 & SPRING 2016 Scientia Imperii Decus et Tutamen 1 Robert R. Kallman University of North Texas Department of Mathematics 1155

More information

Boletín de Matemáticas Nueva Serie, Volumen XII No. 1 (2005), pp

Boletín de Matemáticas Nueva Serie, Volumen XII No. 1 (2005), pp Boletín de Matemáticas Nueva Serie, Volumen XII No. 1 (2005), pp. 19 28 CATS, THE DOWNWARD LÖWENHEIM-SKOLEM-TARSKI THEOREM AND THE DISJOINT AMALGAMATION PROPERTY PEDRO HERNÁN ZAMBRANO RAMÍREZ ( ) Abstract.

More information

AN INTRODUCTION TO GEOMETRIC STABILITY THEORY

AN INTRODUCTION TO GEOMETRIC STABILITY THEORY AN INTRODUCTION TO GEOMETRIC STABILITY THEORY SALMAN SIDDIQI Abstract. In this paper, we will introduce some of the most basic concepts in geometric stability theory, and attempt to state a dichotomy theorem

More information

Reminder Notes for the Course on Measures on Topological Spaces

Reminder Notes for the Course on Measures on Topological Spaces Reminder Notes for the Course on Measures on Topological Spaces T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie

More information

Annals of Pure and Applied Logic

Annals of Pure and Applied Logic Annals of Pure and Applied Logic 161 (2010) 944 955 Contents lists available at ScienceDirect Annals of Pure and Applied Logic journal homepage: www.elsevier.com/locate/apal Types directed by constants

More information

tp(c/a) tp(c/ab) T h(m M ) is assumed in the background.

tp(c/a) tp(c/ab) T h(m M ) is assumed in the background. Model Theory II. 80824 22.10.2006-22.01-2007 (not: 17.12) Time: The first meeting will be on SUNDAY, OCT. 22, 10-12, room 209. We will try to make this time change permanent. Please write ehud@math.huji.ac.il

More information

Functional Analysis Review

Functional Analysis Review Outline 9.520: Statistical Learning Theory and Applications February 8, 2010 Outline 1 2 3 4 Vector Space Outline A vector space is a set V with binary operations +: V V V and : R V V such that for all

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

March 3, The large and small in model theory: What are the amalgamation spectra of. infinitary classes? John T. Baldwin

March 3, The large and small in model theory: What are the amalgamation spectra of. infinitary classes? John T. Baldwin large and large and March 3, 2015 Characterizing cardinals by L ω1,ω large and L ω1,ω satisfies downward Lowenheim Skolem to ℵ 0 for sentences. It does not satisfy upward Lowenheim Skolem. Definition sentence

More information

n [ F (b j ) F (a j ) ], n j=1(a j, b j ] E (4.1)

n [ F (b j ) F (a j ) ], n j=1(a j, b j ] E (4.1) 1.4. CONSTRUCTION OF LEBESGUE-STIELTJES MEASURES In this section we shall put to use the Carathéodory-Hahn theory, in order to construct measures with certain desirable properties first on the real line

More information

here, this space is in fact infinite-dimensional, so t σ ess. Exercise Let T B(H) be a self-adjoint operator on an infinitedimensional

here, this space is in fact infinite-dimensional, so t σ ess. Exercise Let T B(H) be a self-adjoint operator on an infinitedimensional 15. Perturbations by compact operators In this chapter, we study the stability (or lack thereof) of various spectral properties under small perturbations. Here s the type of situation we have in mind:

More information

Problem Set 6: Solutions Math 201A: Fall a n x n,

Problem Set 6: Solutions Math 201A: Fall a n x n, Problem Set 6: Solutions Math 201A: Fall 2016 Problem 1. Is (x n ) n=0 a Schauder basis of C([0, 1])? No. If f(x) = a n x n, n=0 where the series converges uniformly on [0, 1], then f has a power series

More information

Errata Applied Analysis

Errata Applied Analysis Errata Applied Analysis p. 9: line 2 from the bottom: 2 instead of 2. p. 10: Last sentence should read: The lim sup of a sequence whose terms are bounded from above is finite or, and the lim inf of a sequence

More information

Course 212: Academic Year Section 1: Metric Spaces

Course 212: Academic Year Section 1: Metric Spaces Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........

More information

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

7 Complete metric spaces and function spaces

7 Complete metric spaces and function spaces 7 Complete metric spaces and function spaces 7.1 Completeness Let (X, d) be a metric space. Definition 7.1. A sequence (x n ) n N in X is a Cauchy sequence if for any ɛ > 0, there is N N such that n, m

More information

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA  address: Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework

More information

Spectral theorems for bounded self-adjoint operators on a Hilbert space

Spectral theorems for bounded self-adjoint operators on a Hilbert space Chapter 10 Spectral theorems for bounded self-adjoint operators on a Hilbert space Let H be a Hilbert space. For a bounded operator A : H H its Hilbert space adjoint is an operator A : H H such that Ax,

More information

Qualifying Exam Logic August 2005

Qualifying Exam Logic August 2005 Instructions: Qualifying Exam Logic August 2005 If you signed up for Computability Theory, do two E and two C problems. If you signed up for Model Theory, do two E and two M problems. If you signed up

More information

Commutative Banach algebras 79

Commutative Banach algebras 79 8. Commutative Banach algebras In this chapter, we analyze commutative Banach algebras in greater detail. So we always assume that xy = yx for all x, y A here. Definition 8.1. Let A be a (commutative)

More information

Functional Analysis Exercise Class

Functional Analysis Exercise Class Functional Analysis Exercise Class Week: January 18 Deadline to hand in the homework: your exercise class on week January 5 9. Exercises with solutions (1) a) Show that for every unitary operators U, V,

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

g 2 (x) (1/3)M 1 = (1/3)(2/3)M. COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is

More information

CHAPTER 3. Hilbert spaces

CHAPTER 3. Hilbert spaces CHAPTER 3 Hilbert spaces There are really three types of Hilbert spaces (over C). The finite dimensional ones, essentially just C n, for different integer values of n, with which you are pretty familiar,

More information

DAVIS WIELANDT SHELLS OF NORMAL OPERATORS

DAVIS WIELANDT SHELLS OF NORMAL OPERATORS DAVIS WIELANDT SHELLS OF NORMAL OPERATORS CHI-KWONG LI AND YIU-TUNG POON Dedicated to Professor Hans Schneider for his 80th birthday. Abstract. For a finite-dimensional operator A with spectrum σ(a), the

More information

arxiv: v2 [math.lo] 3 Nov 2011

arxiv: v2 [math.lo] 3 Nov 2011 ON OMEGA-CATEGORICAL SIMPLE THEORIES arxiv:1102.3631v2 [math.lo] 3 Nov 2011 DANIEL PALACÍN Abstract. In the present paper we shall prove that countable ω-categorical simple CM-trivial theories and countable

More information

INVERSE FUNCTION THEOREM and SURFACES IN R n

INVERSE FUNCTION THEOREM and SURFACES IN R n INVERSE FUNCTION THEOREM and SURFACES IN R n Let f C k (U; R n ), with U R n open. Assume df(a) GL(R n ), where a U. The Inverse Function Theorem says there is an open neighborhood V U of a in R n so that

More information

Spectral Theory, with an Introduction to Operator Means. William L. Green

Spectral Theory, with an Introduction to Operator Means. William L. Green Spectral Theory, with an Introduction to Operator Means William L. Green January 30, 2008 Contents Introduction............................... 1 Hilbert Space.............................. 4 Linear Maps

More information

Math 123 Homework Assignment #2 Due Monday, April 21, 2008

Math 123 Homework Assignment #2 Due Monday, April 21, 2008 Math 123 Homework Assignment #2 Due Monday, April 21, 2008 Part I: 1. Suppose that A is a C -algebra. (a) Suppose that e A satisfies xe = x for all x A. Show that e = e and that e = 1. Conclude that e

More information

2.2 Lowenheim-Skolem-Tarski theorems

2.2 Lowenheim-Skolem-Tarski theorems Logic SEP: Day 1 July 15, 2013 1 Some references Syllabus: http://www.math.wisc.edu/graduate/guide-qe Previous years qualifying exams: http://www.math.wisc.edu/ miller/old/qual/index.html Miller s Moore

More information

Hilbert space methods for quantum mechanics. S. Richard

Hilbert space methods for quantum mechanics. S. Richard Hilbert space methods for quantum mechanics S. Richard Spring Semester 2016 2 Contents 1 Hilbert space and bounded linear operators 5 1.1 Hilbert space................................ 5 1.2 Vector-valued

More information

Real Analysis Notes. Thomas Goller

Real Analysis Notes. Thomas Goller Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................

More information

On positive maps in quantum information.

On positive maps in quantum information. On positive maps in quantum information. Wladyslaw Adam Majewski Instytut Fizyki Teoretycznej i Astrofizyki, UG ul. Wita Stwosza 57, 80-952 Gdańsk, Poland e-mail: fizwam@univ.gda.pl IFTiA Gdańsk University

More information

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond Measure Theory on Topological Spaces Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond May 22, 2011 Contents 1 Introduction 2 1.1 The Riemann Integral........................................ 2 1.2 Measurable..............................................

More information

CHAPTER I THE RIESZ REPRESENTATION THEOREM

CHAPTER I THE RIESZ REPRESENTATION THEOREM CHAPTER I THE RIESZ REPRESENTATION THEOREM We begin our study by identifying certain special kinds of linear functionals on certain special vector spaces of functions. We describe these linear functionals

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

I teach myself... Hilbert spaces

I teach myself... Hilbert spaces I teach myself... Hilbert spaces by F.J.Sayas, for MATH 806 November 4, 2015 This document will be growing with the semester. Every in red is for you to justify. Even if we start with the basic definition

More information

Introduction to Model Theory

Introduction to Model Theory Introduction to Model Theory Charles Steinhorn, Vassar College Katrin Tent, University of Münster CIRM, January 8, 2018 The three lectures Introduction to basic model theory Focus on Definability More

More information

Recall that any inner product space V has an associated norm defined by

Recall that any inner product space V has an associated norm defined by Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner

More information

Local Homogeneity. June 17, 2004

Local Homogeneity. June 17, 2004 Local Homogeneity Bektur Baizhanov Institute for Informatics and Control Almaty, Kazakhstan John T. Baldwin Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago

More information

MATHEMATICS: CONCEPTS, AND FOUNDATIONS Vol. II - Model Theory - H. Jerome Keisler

MATHEMATICS: CONCEPTS, AND FOUNDATIONS Vol. II - Model Theory - H. Jerome Keisler ATHEATCS: CONCEPTS, AND FOUNDATONS Vol. - odel Theory - H. Jerome Keisler ODEL THEORY H. Jerome Keisler Department of athematics, University of Wisconsin, adison Wisconsin U.S.A. Keywords: adapted probability

More information

Definable henselian valuation rings

Definable henselian valuation rings Definable henselian valuation rings Alexander Prestel Abstract We give model theoretic criteria for the existence of and - formulas in the ring language to define uniformly the valuation rings O of models

More information