On the Stieltjes moment problem
|
|
- Georgiana Cole
- 5 years ago
- Views:
Transcription
1 On the Stieltjes moment problem Jasson Vindas Department of Mathematics Ghent University Logic and Analysis Seminar March 11, 215
2 The problem of moments, as its generalizations, is an important mathematical problem which has attracted much attention for more than a century. It was first raised and solved by Stieltjes for positive measures. Problem (Stieltjes, 1894) Find conditions over {a n } n= which ensure the existence of solutions µ to the infinity system of equations where µ is a positive measure. x n dµ(x), n =, 1, 2,..., We will discuss several generalizations of this problem.
3 The problem of moments, as its generalizations, is an important mathematical problem which has attracted much attention for more than a century. It was first raised and solved by Stieltjes for positive measures. Problem (Stieltjes, 1894) Find conditions over {a n } n= which ensure the existence of solutions µ to the infinity system of equations where µ is a positive measure. x n dµ(x), n =, 1, 2,..., We will discuss several generalizations of this problem.
4 The classical Stieltjes moment problem Stieltjes found a necessary and sufficient condition for the existence of solutions. Define the sequence of matrices a a 1... a n a 1 a 2... a n+1 a 1 a 2... a n+1 a 2 a 3... a n+2 n =..... and (1) n = a n a n+1... a 2n a n+1 a n+2... a 2n+1 Theorem (Stieltjes, ) The Stieltjes moment problem has solution if and only if x n dµ(x), n =, 1, 2,..., det( n ) > and det( (1) n ) >, n =, 1, 2,....
5 The classical Stieltjes moment problem Stieltjes found a necessary and sufficient condition for the existence of solutions. Define the sequence of matrices a a 1... a n a 1 a 2... a n+1 a 1 a 2... a n+1 a 2 a 3... a n+2 n =..... and (1) n = a n a n+1... a 2n a n+1 a n+2... a 2n+1 Theorem (Stieltjes, ) The Stieltjes moment problem has solution if and only if x n dµ(x), n =, 1, 2,..., det( n ) > and det( (1) n ) >, n =, 1, 2,....
6 The classical Stieltjes moment problem Stieltjes found a necessary and sufficient condition for the existence of solutions. Define the sequence of matrices a a 1... a n a 1 a 2... a n+1 a 1 a 2... a n+1 a 2 a 3... a n+2 n =..... and (1) n = a n a n+1... a 2n a n+1 a n+2... a 2n+1 Theorem (Stieltjes, ) The Stieltjes moment problem has solution if and only if x n dµ(x), n =, 1, 2,..., det( n ) > and det( (1) n ) >, n =, 1, 2,....
7 Ideas connected with the Stieltjes moment problem Stieltjes influential papers led to many important ideas: The theory of Stieltjes integrals x n df (x), F. The Stieltjes transform, Re z / (, ], S(z) = df(x) x + z n= ( 1) n a n z n+1. Continued fraction approximations.
8 Ideas connected with the Stieltjes moment problem Stieltjes influential papers led to many important ideas: The theory of Stieltjes integrals x n df (x), F. The Stieltjes transform, Re z / (, ], S(z) = df(x) x + z n= ( 1) n a n z n+1. Continued fraction approximations.
9 Ideas connected with the Stieltjes moment problem Stieltjes influential papers led to many important ideas: The theory of Stieltjes integrals x n df (x), F. The Stieltjes transform, Re z / (, ], S(z) = df(x) x + z n= ( 1) n a n z n+1. Continued fraction approximations.
10 Ideas connected with the Stieltjes moment problem Stieltjes influential papers led to many important ideas: The theory of Stieltjes integrals x n df (x), F. The Stieltjes transform, Re z / (, ], S(z) = df(x) x + z n= ( 1) n a n z n+1. Continued fraction approximations.
11 Ideas connected with the Stieltjes moment problem Stieltjes influential papers led to many important ideas: The theory of Stieltjes integrals x n df (x), F. The Stieltjes transform, Re z / (, ], S(z) = df(x) x + z n= ( 1) n a n z n+1. Continued fraction approximations.
12 Modern approach goes back to Marcel Riesz (1921). Carleman ( ): connections with the theory of quasi-analytic functions. Other moment problems: Hamburger (192): Hausdorff (1923): c b x n df(x), n =, 1, 2,.... x n df (x), n =, 1, 2,.... For results on classical moment problems see the book by Shohat and Tamarkin (The problem of moments, 1943).
13 Modern approach goes back to Marcel Riesz (1921). Carleman ( ): connections with the theory of quasi-analytic functions. Other moment problems: Hamburger (192): Hausdorff (1923): c b x n df(x), n =, 1, 2,.... x n df (x), n =, 1, 2,.... For results on classical moment problems see the book by Shohat and Tamarkin (The problem of moments, 1943).
14 Modern approach goes back to Marcel Riesz (1921). Carleman ( ): connections with the theory of quasi-analytic functions. Other moment problems: Hamburger (192): Hausdorff (1923): c b x n df(x), n =, 1, 2,.... x n df (x), n =, 1, 2,.... For results on classical moment problems see the book by Shohat and Tamarkin (The problem of moments, 1943).
15 Moment problems for arbitrary sequences Theorem (Boas and Pólya, independently, 1939) Given an arbitrary sequence {a n } n=, there is always a function of bounded variation F such that x n df(x), n =, 1, 2,.... A. Durán achieved a major improvement to this result: Theorem (A. Durán, 1989) Every Stieltjes moment problem x n φ(x)dx, n =, 1, 2,..., admits a solution φ S(, ), namely, φ S(R) with supp φ [, ).
16 Moment problems for arbitrary sequences Theorem (Boas and Pólya, independently, 1939) Given an arbitrary sequence {a n } n=, there is always a function of bounded variation F such that x n df(x), n =, 1, 2,.... A. Durán achieved a major improvement to this result: Theorem (A. Durán, 1989) Every Stieltjes moment problem x n φ(x)dx, n =, 1, 2,..., admits a solution φ S(, ), namely, φ S(R) with supp φ [, ).
17 Moment problems for arbitrary sequences Theorem (Boas and Pólya, independently, 1939) Given an arbitrary sequence {a n } n=, there is always a function of bounded variation F such that x n df(x), n =, 1, 2,.... A. Durán achieved a major improvement to this result: Theorem (A. Durán, 1989) Every Stieltjes moment problem x n φ(x)dx, n =, 1, 2,..., admits a solution φ S(, ), namely, φ S(R) with supp φ [, ).
18 Stieltjes moment problems for arbitrary sequences A. Durán s proof: Laguerre expansions, Hankel transform. A. L. Durán and Estrada found a simple proof (1994): x n φ(x)dx, n =, 1, 2,..., (1) iff φ (n) () = ( i) n a n. Then, the Borel-Ritt theorem... Chung-Chung-Kim (23) exploited the method to show that (1) has solutions φ S β (, ), β > 1. Lastra and Sanz (29) have considered ultradifferentiable classes S (, ), with = (M p ), {M p }.
19 Stieltjes moment problems for arbitrary sequences A. Durán s proof: Laguerre expansions, Hankel transform. A. L. Durán and Estrada found a simple proof (1994): x n φ(x)dx, n =, 1, 2,..., (1) iff φ (n) () = ( i) n a n. Then, the Borel-Ritt theorem... Chung-Chung-Kim (23) exploited the method to show that (1) has solutions φ S β (, ), β > 1. Lastra and Sanz (29) have considered ultradifferentiable classes S (, ), with = (M p ), {M p }.
20 Stieltjes moment problems for arbitrary sequences A. Durán s proof: Laguerre expansions, Hankel transform. A. L. Durán and Estrada found a simple proof (1994): x n φ(x)dx, n =, 1, 2,..., (1) iff φ (n) () = ( i) n a n. Then, the Borel-Ritt theorem... Chung-Chung-Kim (23) exploited the method to show that (1) has solutions φ S β (, ), β > 1. Lastra and Sanz (29) have considered ultradifferentiable classes S (, ), with = (M p ), {M p }.
21 Stieltjes moment problems for arbitrary sequences A. Durán s proof: Laguerre expansions, Hankel transform. A. L. Durán and Estrada found a simple proof (1994): x n φ(x)dx, n =, 1, 2,..., (1) iff φ (n) () = ( i) n a n. Then, the Borel-Ritt theorem... Chung-Chung-Kim (23) exploited the method to show that (1) has solutions φ S β (, ), β > 1. Lastra and Sanz (29) have considered ultradifferentiable classes S (, ), with = (M p ), {M p }.
22 Abstract moment problem We want to replace x n φ(x)dx, n =, 1, 2,..., by the infinite system of linear equations f n, φ, n =, 1, 2,..., (2) where the sought solution φ is an element of a (topological!) vector space E and f n E. Problem Conditions over E and {f n } n= such that every generalized moment problem (4) has a solution φ E.
23 Abstract moment problem We want to replace x n φ(x)dx, n =, 1, 2,..., by the infinite system of linear equations f n, φ, n =, 1, 2,..., (2) where the sought solution φ is an element of a (topological!) vector space E and f n E. Problem Conditions over E and {f n } n= such that every generalized moment problem (4) has a solution φ E.
24 Abstract moment problem We want to replace x n φ(x)dx, n =, 1, 2,..., by the infinite system of linear equations f n, φ, n =, 1, 2,..., (2) where the sought solution φ is an element of a (topological!) vector space E and f n E. Problem Conditions over E and {f n } n= such that every generalized moment problem (4) has a solution φ E.
25 Particular cases The Borel problem: φ (n) (), n =, 1, 2,.... Here E = C (R) and f n = ( 1) n δ (n), elements of E (R). The Borel-Ritt problem. Given a sector S : α < arg z < β, z < r. Find an analytic function φ on S such that on any subsector S 1 : α 1 < arg z < β 1 one has φ(z) a n z n, z +. (3) n= In our setting, one may consider E the space of analytic functions on S having expansions of the form (3). The f n are the linear functionals sending ϕ to its n-th coefficient of the expansion.
26 Particular cases The Borel problem: φ (n) (), n =, 1, 2,.... Here E = C (R) and f n = ( 1) n δ (n), elements of E (R). The Borel-Ritt problem. Given a sector S : α < arg z < β, z < r. Find an analytic function φ on S such that on any subsector S 1 : α 1 < arg z < β 1 one has φ(z) a n z n, z +. (3) n= In our setting, one may consider E the space of analytic functions on S having expansions of the form (3). The f n are the linear functionals sending ϕ to its n-th coefficient of the expansion.
27 Particular cases The Borel problem: φ (n) (), n =, 1, 2,.... Here E = C (R) and f n = ( 1) n δ (n), elements of E (R). The Borel-Ritt problem. Given a sector S : α < arg z < β, z < r. Find an analytic function φ on S such that on any subsector S 1 : α 1 < arg z < β 1 one has φ(z) a n z n, z +. (3) n= In our setting, one may consider E the space of analytic functions on S having expansions of the form (3). The f n are the linear functionals sending ϕ to its n-th coefficient of the expansion.
28 Particular case: General Stieltjes moment problems for rapidly decreasing smooth functions Direct generalization of Pólya-Boas-Durán problem, x n φ(x)dx, n =, 1, 2,..., where φ S(, ). Distribution moment problem: f n, φ, n =, 1, 2,..., (4) where f n S [, ) (= f n S (R) with supp f n [, )).
29 Particular case: General Stieltjes moment problems for rapidly decreasing smooth functions Direct generalization of Pólya-Boas-Durán problem, x n φ(x)dx, n =, 1, 2,..., where φ S(, ). Distribution moment problem: f n, φ, n =, 1, 2,..., (4) where f n S [, ) (= f n S (R) with supp f n [, )).
30 Particular case: General Stieltjes moment problems for rapidly decreasing smooth functions Direct generalization of Pólya-Boas-Durán problem, x n φ(x)dx, n =, 1, 2,..., where φ S(, ). Distribution moment problem: f n, φ, n =, 1, 2,..., (4) where f n S [, ) (= f n S (R) with supp f n [, )).
31 Particular cases 1 Continuous generalized moment problem f n (x)φ(x)dx, n =, 1, 2, Discrete problem: Let (B k,n ) be an infinite matrix B k,n φ(k), n =, 1, 2,..., k=1 or, more generally, < λ n, B k,n φ(λ k ), n =, 1, 2,.... k=1 3 Let {F n } n= be a sequence of functions of local bounded variation (having at most polynomial growth) φ(x)df n (x), n =, 1, 2,....
32 Particular cases 1 Continuous generalized moment problem f n (x)φ(x)dx, n =, 1, 2, Discrete problem: Let (B k,n ) be an infinite matrix B k,n φ(k), n =, 1, 2,..., k=1 or, more generally, < λ n, B k,n φ(λ k ), n =, 1, 2,.... k=1 3 Let {F n } n= be a sequence of functions of local bounded variation (having at most polynomial growth) φ(x)df n (x), n =, 1, 2,....
33 Particular cases 1 Continuous generalized moment problem f n (x)φ(x)dx, n =, 1, 2, Discrete problem: Let (B k,n ) be an infinite matrix B k,n φ(k), n =, 1, 2,..., k=1 or, more generally, < λ n, B k,n φ(λ k ), n =, 1, 2,.... k=1 3 Let {F n } n= be a sequence of functions of local bounded variation (having at most polynomial growth) φ(x)df n (x), n =, 1, 2,....
34 Particular cases 1 Continuous generalized moment problem f n (x)φ(x)dx, n =, 1, 2, Discrete problem: Let (B k,n ) be an infinite matrix B k,n φ(k), n =, 1, 2,..., k=1 or, more generally, < λ n, B k,n φ(λ k ), n =, 1, 2,.... k=1 3 Let {F n } n= be a sequence of functions of local bounded variation (having at most polynomial growth) φ(x)df n (x), n =, 1, 2,....
35 Back to the abstract moment problem We now consider the abstract moment problem f n, φ, n =, 1, 2,..., where E is an FS-space. So, f n E and φ E. Fréchet space: locally convex, metrizable, and complete TVS. Every Fréchet space E is the projective limit of a decreasing sequence of Banach spaces E = proj lim E j E n+1 E n... E 1, with E n+1 E n continuous and dense. Fréchet-Schwartz (FS): E n+1 E n are compact.
36 Back to the abstract moment problem We now consider the abstract moment problem f n, φ, n =, 1, 2,..., where E is an FS-space. So, f n E and φ E. Fréchet space: locally convex, metrizable, and complete TVS. Every Fréchet space E is the projective limit of a decreasing sequence of Banach spaces E = proj lim E j E n+1 E n... E 1, with E n+1 E n continuous and dense. Fréchet-Schwartz (FS): E n+1 E n are compact.
37 Back to the abstract moment problem We now consider the abstract moment problem f n, φ, n =, 1, 2,..., where E is an FS-space. So, f n E and φ E. Fréchet space: locally convex, metrizable, and complete TVS. Every Fréchet space E is the projective limit of a decreasing sequence of Banach spaces E = proj lim E j E n+1 E n... E 1, with E n+1 E n continuous and dense. Fréchet-Schwartz (FS): E n+1 E n are compact.
38 Back to the abstract moment problem We now consider the abstract moment problem f n, φ, n =, 1, 2,..., where E is an FS-space. So, f n E and φ E. Fréchet space: locally convex, metrizable, and complete TVS. Every Fréchet space E is the projective limit of a decreasing sequence of Banach spaces E = proj lim E j E n+1 E n... E 1, with E n+1 E n continuous and dense. Fréchet-Schwartz (FS): E n+1 E n are compact.
39 Silva s duality theory for FS-spaces A DFS-space (or Silva space) is the inductive limit of an increasing sequence of Banach spaces, X 1 X 2... X n X n+1 ind lim X j = X, where each X n X n+1 is compact and injective. Silva s Lemma: Y X is closed if and only if Y X n is closed in X n, n. Silva s Duality Theorem: The dual of an FS-space is a DFS-space. The dual of a DFS-space is an FS-space. The FS- and DFS-spaces are Montel (hence reflexive). If E = proj lim E n, with E j+1 E j compact and dense, then E = ind lim E n.
40 Silva s duality theory for FS-spaces A DFS-space (or Silva space) is the inductive limit of an increasing sequence of Banach spaces, X 1 X 2... X n X n+1 ind lim X j = X, where each X n X n+1 is compact and injective. Silva s Lemma: Y X is closed if and only if Y X n is closed in X n, n. Silva s Duality Theorem: The dual of an FS-space is a DFS-space. The dual of a DFS-space is an FS-space. The FS- and DFS-spaces are Montel (hence reflexive). If E = proj lim E n, with E j+1 E j compact and dense, then E = ind lim E n.
41 Silva s duality theory for FS-spaces A DFS-space (or Silva space) is the inductive limit of an increasing sequence of Banach spaces, X 1 X 2... X n X n+1 ind lim X j = X, where each X n X n+1 is compact and injective. Silva s Lemma: Y X is closed if and only if Y X n is closed in X n, n. Silva s Duality Theorem: The dual of an FS-space is a DFS-space. The dual of a DFS-space is an FS-space. The FS- and DFS-spaces are Montel (hence reflexive). If E = proj lim E n, with E j+1 E j compact and dense, then E = ind lim E n.
42 Simplest examples of FS- and DFS-spaces Let P n the space of polynomials of degree n (in one variable). So, P n = C n+1. Consider the canonical injections ι n : P n P n+1 and the projections π n : P n+1 P n. The space of polynomials P = ind lim P n is DFS. The space of formal power series C[[ξ]] = proj lim P n is FS. Duality P = C[[ξ]] and (C[[ξ]]) = P.
43 Simplest examples of FS- and DFS-spaces Let P n the space of polynomials of degree n (in one variable). So, P n = C n+1. Consider the canonical injections ι n : P n P n+1 and the projections π n : P n+1 P n. The space of polynomials P = ind lim P n is DFS. The space of formal power series C[[ξ]] = proj lim P n is FS. Duality P = C[[ξ]] and (C[[ξ]]) = P.
44 Simplest examples of FS- and DFS-spaces Let P n the space of polynomials of degree n (in one variable). So, P n = C n+1. Consider the canonical injections ι n : P n P n+1 and the projections π n : P n+1 P n. The space of polynomials P = ind lim P n is DFS. The space of formal power series C[[ξ]] = proj lim P n is FS. Duality P = C[[ξ]] and (C[[ξ]]) = P.
45 Abstract moment problem in FS-spaces Theorem Let E = proj lim E j be an FS-space, where E n+1 E n is compact and dense. Consider {f n } n= E. Every arbitrary abstract moment problem has solution φ E if and only if f n, φ = a n, n N, 1 f, f 1,..., f n,..., are linearly independent. 2 span{f n : n N} E j is finite dimensional, j N. Proof. Sketch on the blackboard. We use the following lemma: Lemma. Let X = ind lim X j be a DFS-space, with X j X j+1 compact and injective. A continuous injective mapping L : P X has closed range if and only if L(P) X j is finite dimensional j.
46 Abstract moment problem in FS-spaces Theorem Let E = proj lim E j be an FS-space, where E n+1 E n is compact and dense. Consider {f n } n= E. Every arbitrary abstract moment problem has solution φ E if and only if f n, φ = a n, n N, 1 f, f 1,..., f n,..., are linearly independent. 2 span{f n : n N} E j is finite dimensional, j N. Proof. Sketch on the blackboard. We use the following lemma: Lemma. Let X = ind lim X j be a DFS-space, with X j X j+1 compact and injective. A continuous injective mapping L : P X has closed range if and only if L(P) X j is finite dimensional j.
47 Abstract moment problem in FS-spaces Theorem Let E = proj lim E j be an FS-space, where E n+1 E n is compact and dense. Consider {f n } n= E. Every arbitrary abstract moment problem has solution φ E if and only if f n, φ = a n, n N, 1 f, f 1,..., f n,..., are linearly independent. 2 span{f n : n N} E j is finite dimensional, j N. Proof. Sketch on the blackboard. We use the following lemma: Lemma. Let X = ind lim X j be a DFS-space, with X j X j+1 compact and injective. A continuous injective mapping L : P X has closed range if and only if L(P) X j is finite dimensional j.
48 Applications For the Borel problem: φ (n) () = ( 1) n δ (n), φ, n =, 1, 2,..., one takes E = C (R) = proj lim C j [ j, j]. Since all elements of the dual of C j [ j, j] are derivatives of order j + 1 of measures, the last theorem implies that every Borel problem has solution. A similar argument shows that every Borel-Ritt problem has a solution. For the Stieltjes moment problem, one writes where S p (, ) is S(, ) = proj lim S p (, ), {ψ C p (, ) : ψ (j) () = and lim x x p ψ (j) (x) =, j p}
49 Applications For the Borel problem: φ (n) () = ( 1) n δ (n), φ, n =, 1, 2,..., one takes E = C (R) = proj lim C j [ j, j]. Since all elements of the dual of C j [ j, j] are derivatives of order j + 1 of measures, the last theorem implies that every Borel problem has solution. A similar argument shows that every Borel-Ritt problem has a solution. For the Stieltjes moment problem, one writes where S p (, ) is S(, ) = proj lim S p (, ), {ψ C p (, ) : ψ (j) () = and lim x x p ψ (j) (x) =, j p}
50 Applications For the Borel problem: φ (n) () = ( 1) n δ (n), φ, n =, 1, 2,..., one takes E = C (R) = proj lim C j [ j, j]. Since all elements of the dual of C j [ j, j] are derivatives of order j + 1 of measures, the last theorem implies that every Borel problem has solution. A similar argument shows that every Borel-Ritt problem has a solution. For the Stieltjes moment problem, one writes where S p (, ) is S(, ) = proj lim S p (, ), {ψ C p (, ) : ψ (j) () = and lim x x p ψ (j) (x) =, j p}
51 Applications {x n } n= S p(, ), p. The theorem yields that x n φ(x)dx = a n, n =, 1, 2,..., has always a solution φ S(, ). More generally, it is possible to characterize the {f n } n= S[, ) for which every generalized Stieltjes moment problem f n, φ = a n, n N, admits a solution φ S(, ) in terms of the asymptotic behavior of the linear combinations of {f n } n=.
52 Applications {x n } n= S p(, ), p. The theorem yields that x n φ(x)dx = a n, n =, 1, 2,..., has always a solution φ S(, ). More generally, it is possible to characterize the {f n } n= S[, ) for which every generalized Stieltjes moment problem f n, φ = a n, n N, admits a solution φ S(, ) in terms of the asymptotic behavior of the linear combinations of {f n } n=.
53 The weighted Stieltjes moment problem Let F on [, ) and let {α n } n Z C. Theorem Every weighted Stieltjes moment problem φ(x)x αn df (x), n Z, has a solution φ S(, ), provided that: 1 The sets {n Z : M Re α n M} are finite M >. 2 If lim n Re α n =, then < lim sup x log x F(t)dt log x.
54 The weighted Stieltjes moment problem Let F on [, ) and let {α n } n Z C. Theorem Every weighted Stieltjes moment problem φ(x)x αn df (x), n Z, has a solution φ S(, ), provided that: 1 The sets {n Z : M Re α n M} are finite M >. 2 If lim n Re α n =, then < lim sup x log x F(t)dt log x.
55 The weighted Stieltjes moment problem Let F on [, ) and let {α n } n Z C. Theorem Every weighted Stieltjes moment problem φ(x)x αn df (x), n Z, has a solution φ S(, ), provided that: 1 The sets {n Z : M Re α n M} are finite M >. 2 If lim n Re α n =, then < lim sup x log x F(t)dt log x.
56 Examples The following generalized moment problems always have a solution φ S(, ). Let {α n } n= be such that Re α n. k αn φ(k), n =, 1, 2,.... k=1 p prime p αn φ(p), n =, 1, 2,....
57 Examples The following generalized moment problems always have a solution φ S(, ). Let {α n } n= be such that Re α n. k αn φ(k), n =, 1, 2,.... k=1 p prime p αn φ(p), n =, 1, 2,....
GENERAL STIELTJES MOMENT PROBLEMS FOR RAPIDLY DECREASING SMOOTH FUNCTIONS
GENERAL STIELTJES MOMENT PROBLEMS FOR RAPIDLY DECREASING SMOOTH FUNCTIONS RICARDO ESTRADA AND JASSON VINDAS Abstract. We give (necessary and sufficient) conditions over a sequence {f n } n= of functions
More informationWAVELET EXPANSIONS OF DISTRIBUTIONS
WAVELET EXPANSIONS OF DISTRIBUTIONS JASSON VINDAS Abstract. These are lecture notes of a talk at the School of Mathematics of the National University of Costa Rica. The aim is to present a wavelet expansion
More informationJASSON VINDAS AND RICARDO ESTRADA
A QUICK DISTRIBUTIONAL WAY TO THE PRIME NUMBER THEOREM JASSON VINDAS AND RICARDO ESTRADA Abstract. We use distribution theory (generalized functions) to show the prime number theorem. No tauberian results
More informationMAT 578 FUNCTIONAL ANALYSIS EXERCISES
MAT 578 FUNCTIONAL ANALYSIS EXERCISES JOHN QUIGG Exercise 1. Prove that if A is bounded in a topological vector space, then for every neighborhood V of 0 there exists c > 0 such that tv A for all t > c.
More informationNotes on Distributions
Notes on Distributions Functional Analysis 1 Locally Convex Spaces Definition 1. A vector space (over R or C) is said to be a topological vector space (TVS) if it is a Hausdorff topological space and the
More informationA note on the σ-algebra of cylinder sets and all that
A note on the σ-algebra of cylinder sets and all that José Luis Silva CCM, Univ. da Madeira, P-9000 Funchal Madeira BiBoS, Univ. of Bielefeld, Germany (luis@dragoeiro.uma.pt) September 1999 Abstract In
More informationLocally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem
56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi
More informationCONVOLUTION OPERATORS IN INFINITE DIMENSION
PORTUGALIAE MATHEMATICA Vol. 51 Fasc. 4 1994 CONVOLUTION OPERATORS IN INFINITE DIMENSION Nguyen Van Khue and Nguyen Dinh Sang 1 Introduction Let E be a complete convex bornological vector space (denoted
More informationThe weak topology of locally convex spaces and the weak-* topology of their duals
The weak topology of locally convex spaces and the weak-* topology of their duals Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto April 3, 2014 1 Introduction These notes
More informationCHAPTER V DUAL SPACES
CHAPTER V DUAL SPACES DEFINITION Let (X, T ) be a (real) locally convex topological vector space. By the dual space X, or (X, T ), of X we mean the set of all continuous linear functionals on X. By the
More information1 Continuity Classes C m (Ω)
0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +
More informationLECTURE 5: THE METHOD OF STATIONARY PHASE
LECTURE 5: THE METHOD OF STATIONARY PHASE Some notions.. A crash course on Fourier transform For j =,, n, j = x j. D j = i j. For any multi-index α = (α,, α n ) N n. α = α + + α n. α! = α! α n!. x α =
More informationFinite-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 informationPROBLEMS. (b) (Polarization Identity) Show that in any inner product space
1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization
More informationCharacterization of Distributional Point Values of Tempered Distribution and Pointwise Fourier Inversion Formula
Characterization of Distributional Point Values of Tempered Distribution and Pointwise Fourier Inversion Formula Jasson Vindas jvindas@math.lsu.edu Louisiana State University Seminar of Analysis and Fundations
More informationi=1 β i,i.e. = β 1 x β x β 1 1 xβ d
66 2. Every family of seminorms on a vector space containing a norm induces ahausdorff locally convex topology. 3. Given an open subset Ω of R d with the euclidean topology, the space C(Ω) of real valued
More informationConvex Symplectic Manifolds
Convex Symplectic Manifolds Jie Min April 16, 2017 Abstract This note for my talk in student symplectic topology seminar in UMN is an gentle introduction to the concept of convex symplectic manifolds.
More informationElliott s program and descriptive set theory I
Elliott s program and descriptive set theory I Ilijas Farah LC 2012, Manchester, July 12 a, a, a, a, the, the, the, the. I shall need this exercise later, someone please solve it Exercise If A = limna
More informationWe denote the space of distributions on Ω by D ( Ω) 2.
Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study
More informationA Walking Tour of Microlocal Analysis
A Walking Tour of Microlocal Analysis Jeff Schonert August 10, 2006 Abstract We summarize some of the basic principles of microlocal analysis and their applications. After reviewing distributions, we then
More informationThe Measure Problem. Louis de Branges Department of Mathematics Purdue University West Lafayette, IN , USA
The Measure Problem Louis de Branges Department of Mathematics Purdue University West Lafayette, IN 47907-2067, USA A problem of Banach is to determine the structure of a nonnegative (countably additive)
More informationTopological vectorspaces
(July 25, 2011) Topological vectorspaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ Natural non-fréchet spaces Topological vector spaces Quotients and linear maps More topological
More informationON THE REGULARITY OF ONE PARAMETER TRANSFORMATION GROUPS IN BARRELED LOCALLY CONVEX TOPOLOGICAL VECTOR SPACES
Communications on Stochastic Analysis Vol. 9, No. 3 (2015) 413-418 Serials Publications www.serialspublications.com ON THE REGULARITY OF ONE PARAMETER TRANSFORMATION GROUPS IN BARRELED LOCALLY CONVEX TOPOLOGICAL
More informationTopological degree and invariance of domain theorems
Topological degree and invariance of domain theorems Cristina Ana-Maria Anghel Geometry and PDE s Workshop Timisoara West University 24 th May 2013 The invariance of domain theorem, appeared at the beginning
More information6 Classical dualities and reflexivity
6 Classical dualities and reflexivity 1. Classical dualities. Let (Ω, A, µ) be a measure space. We will describe the duals for the Banach spaces L p (Ω). First, notice that any f L p, 1 p, generates the
More informations P = f(ξ n )(x i x i 1 ). i=1
Compactness and total boundedness via nets The aim of this chapter is to define the notion of a net (generalized sequence) and to characterize compactness and total boundedness by this important topological
More informationSTUDY PLAN MASTER IN (MATHEMATICS) (Thesis Track)
STUDY PLAN MASTER IN (MATHEMATICS) (Thesis Track) I. GENERAL RULES AND CONDITIONS: 1- This plan conforms to the regulations of the general frame of the Master programs. 2- Areas of specialty of admission
More informationBiholomorphic functions on dual of Banach Space
Biholomorphic functions on dual of Banach Space Mary Lilian Lourenço University of São Paulo - Brazil Joint work with H. Carrión and P. Galindo Conference on Non Linear Functional Analysis. Workshop on
More information642 BOOK REVIEWS [September
642 BOOK REVIEWS [September The reader specialist in topology or not will find particularly interesting the elementary proof of Brouwer's fixed-point theorem for closed w-cells and the use of this theorem
More informationINTRODUCTION TO DISTRIBUTIONS
INTRODUCTION TO DISTRIBUTIONS TSOGTGEREL GANTUMUR Abstract. We introduce locally convex spaces by the seminorms approach, and present the fundamentals of distributions. Contents 1. Introduction 1 2. Locally
More informationTOOLS FROM HARMONIC ANALYSIS
TOOLS FROM HARMONIC ANALYSIS BRADLY STADIE Abstract. The Fourier transform can be thought of as a map that decomposes a function into oscillatory functions. In this paper, we will apply this decomposition
More informationAN ELEMENTARY PROOF OF THE SPECTRAL RADIUS FORMULA FOR MATRICES
AN ELEMENTARY PROOF OF THE SPECTRAL RADIUS FORMULA FOR MATRICES JOEL A. TROPP Abstract. We present an elementary proof that the spectral radius of a matrix A may be obtained using the formula ρ(a) lim
More informationFunctional Analysis (H) Midterm USTC-2015F haha Your name: Solutions
Functional Analysis (H) Midterm USTC-215F haha Your name: Solutions 1.(2 ) You only need to anser 4 out of the 5 parts for this problem. Check the four problems you ant to be graded. Write don the definitions
More information08a. 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 informationCHAPTER 6 bis. Distributions
CHAPTER 6 bis Distributions The Dirac function has proved extremely useful and convenient to physicists, even though many a mathematician was truly horrified when the Dirac function was described to him:
More informationExamples of Dual Spaces from Measure Theory
Chapter 9 Examples of Dual Spaces from Measure Theory We have seen that L (, A, µ) is a Banach space for any measure space (, A, µ). We will extend that concept in the following section to identify an
More informationBanach Spaces V: A Closer Look at the w- and the w -Topologies
BS V c Gabriel Nagy Banach Spaces V: A Closer Look at the w- and the w -Topologies Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we discuss two important, but highly non-trivial,
More informationFunctional 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 informationNotes for Functional Analysis
Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) November 6, 2015 1 Lecture 18 1.1 The convex hull Let X be any vector space, and E X a subset. Definition 1.1. The convex hull of E is the
More informationReflexivity of Locally Convex Spaces over Local Fields
Reflexivity of Locally Convex Spaces over Local Fields Tomoki Mihara University of Tokyo & Keio University 1 0 Introduction For any Hilbert space H, the Hermit inner product induces an anti C- linear isometric
More informationWeak Topologies, Reflexivity, Adjoint operators
Chapter 2 Weak Topologies, Reflexivity, Adjoint operators 2.1 Topological vector spaces and locally convex spaces Definition 2.1.1. [Topological Vector Spaces and Locally convex Spaces] Let E be a vector
More informationProblem 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 informationHere we used the multiindex notation:
Mathematics Department Stanford University Math 51H Distributions Distributions first arose in solving partial differential equations by duality arguments; a later related benefit was that one could always
More informationProblem 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 informationDistributions: Topology and Sequential Compactness
Distributions: Topology and Sequential Compactness Acknowledgement Distributions: Topology and Sequential Compactness Acknowledgement First of all I want to thank Professor Mouhot for setting this essay
More informationLipschitz p-convex and q-concave maps
Lipschitz p-convex and q-concave maps J. Alejandro Chávez-Domínguez Instituto de Ciencias Matemáticas, CSIC-UAM-UCM-UC3M, Madrid and Department of Mathematics, University of Texas at Austin Conference
More informationLinear Topological Spaces
Linear Topological Spaces by J. L. KELLEY ISAAC NAMIOKA AND W. F. DONOGHUE, JR. G. BALEY PRICE KENNETH R. LUCAS WENDY ROBERTSON B. J. PETTIS W. R. SCOTT EBBE THUE POULSEN KENNAN T. SMITH D. VAN NOSTRAND
More informationWeighted Sums of Orthogonal Polynomials Related to Birth-Death Processes with Killing
Advances in Dynamical Systems and Applications ISSN 0973-5321, Volume 8, Number 2, pp. 401 412 (2013) http://campus.mst.edu/adsa Weighted Sums of Orthogonal Polynomials Related to Birth-Death Processes
More informationB. Appendix B. Topological vector spaces
B.1 B. Appendix B. Topological vector spaces B.1. Fréchet spaces. In this appendix we go through the definition of Fréchet spaces and their inductive limits, such as they are used for definitions of function
More informationAmenability properties of the non-commutative Schwartz space
Amenability properties of the non-commutative Schwartz space Krzysztof Piszczek Adam Mickiewicz University Poznań, Poland e-mail: kpk@amu.edu.pl Workshop on OS, LCQ Groups and Amenability, Toronto, Canada,
More informationSTRONG MOMENT PROBLEMS FOR RAPIDLY DECREASING SMOOTH FUNCTIONS
proceedings of the american mathematical society Volume 120, Number 2, February 1994 STRONG MOMENT PROBLEMS FOR RAPIDLY DECREASING SMOOTH FUNCTIONS ANA LIA DURAN AND RICARDO ESTRADA (Communicated by J.
More informationAn introduction to some aspects of functional analysis
An introduction to some aspects of functional analysis Stephen Semmes Rice University Abstract These informal notes deal with some very basic objects in functional analysis, including norms and seminorms
More informationOn the distributional divergence of vector fields vanishing at infinity
Proceedings of the Royal Society of Edinburgh, 141A, 65 76, 2011 On the distributional divergence of vector fields vanishing at infinity Thierry De Pauw Institut de Recherches en Mathématiques et Physique,
More informationA locally convex topology and an inner product 1
Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 12, Number 4 (2016, pp. 3327-3338 Research India Publications http://www.ripublication.com/gjpam.htm A locally convex topology and
More informationIntroduction to Microlocal Analysis
Introduction to Microlocal Analysis First lecture: Basics Dorothea Bahns (Göttingen) Third Summer School on Dynamical Approaches in Spectral Geometry Microlocal Methods in Global Analysis University of
More informationNORMAL FAMILIES OF HOLOMORPHIC FUNCTIONS ON INFINITE DIMENSIONAL SPACES
PORTUGALIAE MATHEMATICA Vol. 63 Fasc.3 2006 Nova Série NORMAL FAMILIES OF HOLOMORPHIC FUNCTIONS ON INFINITE DIMENSIONAL SPACES Paula Takatsuka * Abstract: The purpose of the present work is to extend some
More informationFunctional Analysis HW #1
Functional Analysis HW #1 Sangchul Lee October 9, 2015 1 Solutions Solution of #1.1. Suppose that X
More information2.2 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 informationNotes for Functional Analysis
Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) September 29, 2015 1 Lecture 09 1.1 Equicontinuity First let s recall the conception of equicontinuity for family of functions that we learned
More informationBounded and continuous functions on a locally compact Hausdorff space and dual spaces
Chapter 6 Bounded and continuous functions on a locally compact Hausdorff space and dual spaces Recall that the dual space of a normed linear space is a Banach space, and the dual space of L p is L q where
More informationOn duality theory of conic linear problems
On duality theory of conic linear problems Alexander Shapiro School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 3332-25, USA e-mail: ashapiro@isye.gatech.edu
More informationMATH MEASURE THEORY AND FOURIER ANALYSIS. Contents
MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure
More informationE.7 Alaoglu s Theorem
E.7 Alaoglu s Theorem 359 E.7 Alaoglu s Theorem If X is a normed space, then the closed unit ball in X or X is compact if and only if X is finite-dimensional (Problem A.25). Even so, Alaoglu s Theorem
More informationFunctional Analysis F3/F4/NVP (2005) Homework assignment 3
Functional Analysis F3/F4/NVP (005 Homework assignment 3 All students should solve the following problems: 1. Section 4.8: Problem 8.. Section 4.9: Problem 4. 3. Let T : l l be the operator defined by
More informationTHE PSEUDO DIFFERENTIAL-TYPE OPERATOR ( x 1 D) (α β) ASSOCIATED WITH THE FOURIER-BESSEL TYPE SERIES REPRESENTATION
Palestine Journal of Mathematics Vol. 5(2) (216), 175 182 Palestine Polytechnic University-PPU 216 THE PSEUDO DIFFERENTIAL-TYPE OPERATOR ( x 1 D) (α β) ASSOCIATED WITH THE FOURIER-BESSEL TYPE SERIES REPRESENTATION
More informationFréchet differentiability of the norm of L p -spaces associated with arbitrary von Neumann algebras
Fréchet differentiability of the norm of L p -spaces associated with arbitrary von Neumann algebras (Part I) Fedor Sukochev (joint work with D. Potapov, A. Tomskova and D. Zanin) University of NSW, AUSTRALIA
More informationMethods of constructing topological vector spaces
CHAPTER 2 Methods of constructing topological vector spaces In this chapter we consider projective limits (in particular, products) of families of topological vector spaces, inductive limits (in particular,
More informationA PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE. Myung-Hyun Cho and Jun-Hui Kim. 1. Introduction
Comm. Korean Math. Soc. 16 (2001), No. 2, pp. 277 285 A PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE Myung-Hyun Cho and Jun-Hui Kim Abstract. The purpose of this paper
More informationOn Riesz-Fischer sequences and lower frame bounds
On Riesz-Fischer sequences and lower frame bounds P. Casazza, O. Christensen, S. Li, A. Lindner Abstract We investigate the consequences of the lower frame condition and the lower Riesz basis condition
More informationINVERSE 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 informationMAT 449 : Problem Set 4
MAT 449 : Problem Set 4 Due Thursday, October 11 Vector-valued integrals Note : ou are allowed to use without proof the following results : The Hahn-Banach theorem. The fact that every continuous linear
More informationStone-Čech compactification of Tychonoff spaces
The Stone-Čech compactification of Tychonoff spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto June 27, 2014 1 Completely regular spaces and Tychonoff spaces A topological
More informationChapter One. The Calderón-Zygmund Theory I: Ellipticity
Chapter One The Calderón-Zygmund Theory I: Ellipticity Our story begins with a classical situation: convolution with homogeneous, Calderón- Zygmund ( kernels on R n. Let S n 1 R n denote the unit sphere
More informationNotes for Functional Analysis
Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) October 16, 2015 1 Lecture 11 1.1 The closed graph theorem Definition 1.1. Let f : X Y be any map between topological spaces. We define its
More informationWEAKLY COMPACT WEDGE OPERATORS ON KÖTHE ECHELON SPACES
Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 29, 2004, 223 231 WEAKLY COMPACT WEDGE OPERATORS ON KÖTHE ECHELON SPACES José Bonet and Miguel Friz Universidad Politécnica de Valencia, E.T.S.I.
More informationMA651 Topology. Lecture 9. Compactness 2.
MA651 Topology. Lecture 9. Compactness 2. This text is based on the following books: Topology by James Dugundgji Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology
More informationThe Lévy-Itô decomposition and the Lévy-Khintchine formula in31 themarch dual of 2014 a nuclear 1 space. / 20
The Lévy-Itô decomposition and the Lévy-Khintchine formula in the dual of a nuclear space. Christian Fonseca-Mora School of Mathematics and Statistics, University of Sheffield, UK Talk at "Stochastic Processes
More informationI 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 informationRecall 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 informationarxiv: v1 [math.fa] 14 May 2008
DEFINABILITY UNDER DUALITY arxiv:0805.2036v1 [math.fa] 14 May 2008 PANDELIS DODOS Abstract. It is shown that if A is an analytic class of separable Banach spaces with separable dual, then the set A = {Y
More informationBochner s Theorem on the Fourier Transform on R
Bochner s heorem on the Fourier ransform on Yitao Lei October 203 Introduction ypically, the Fourier transformation sends suitable functions on to functions on. his can be defined on the space L ) + L
More informationTame definable topological dynamics
Tame definable topological dynamics Artem Chernikov (Paris 7) Géométrie et Théorie des Modèles, 4 Oct 2013, ENS, Paris Joint work with Pierre Simon, continues previous work with Anand Pillay and Pierre
More informationLECTURE 3 Functional spaces on manifolds
LECTURE 3 Functional spaces on manifolds The aim of this section is to introduce Sobolev spaces on manifolds (or on vector bundles over manifolds). These will be the Banach spaces of sections we were after
More informationCanonical Supermartingale Couplings
Canonical Supermartingale Couplings Marcel Nutz Columbia University (with Mathias Beiglböck, Florian Stebegg and Nizar Touzi) June 2016 Marcel Nutz (Columbia) Canonical Supermartingale Couplings 1 / 34
More informationBanach Spaces II: Elementary Banach Space Theory
BS II c Gabriel Nagy Banach Spaces II: Elementary Banach Space Theory Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we introduce Banach spaces and examine some of their
More informationOptimization and Optimal Control in Banach Spaces
Optimization and Optimal Control in Banach Spaces Bernhard Schmitzer October 19, 2017 1 Convex non-smooth optimization with proximal operators Remark 1.1 (Motivation). Convex optimization: easier to solve,
More informationChapter III Beyond L 2 : Fourier transform of distributions
Chapter III Beyond L 2 : Fourier transform of distributions 113 1 Basic definitions and first examples In this section we generalize the theory of the Fourier transform developed in Section 1 to distributions.
More informationVector Integration and Disintegration of Measures. Michael Taylor
Vector Integration and Disintegration of Measures Michael Taylor 1. Introduction Let and be compact metric spaces, and π : a continuous map of onto. Let µ be a positive, finite Borel measure on. The following
More informationExtreme points of compact convex sets
Extreme points of compact convex sets In this chapter, we are going to show that compact convex sets are determined by a proper subset, the set of its extreme points. Let us start with the main definition.
More informationMARKOV PARTITIONS FOR HYPERBOLIC SETS
MARKOV PARTITIONS FOR HYPERBOLIC SETS TODD FISHER, HIMAL RATHNAKUMARA Abstract. We show that if f is a diffeomorphism of a manifold to itself, Λ is a mixing (or transitive) hyperbolic set, and V is a neighborhood
More informationarxiv: v1 [math.st] 25 Oct 2018
SIGNATURE MOMENTS TO CHARACTERIZE LAWS OF STOCHASTIC PROCESSES ILYA CHEVYREV AND HARALD OBERHAUSER Abstract. The normalized sequence of moments characterizes the law of any finite-dimensional random variable.
More informationHypercyclic and supercyclic operators
1 Hypercyclic and supercyclic operators Introduction The aim of this first chapter is twofold: to give a reasonably short, yet significant and hopefully appetizing, sample of the type of questions with
More informationHomologically trivial and annihilator locally C -algebras
Homologically trivial and annihilator locally C -algebras Yurii Selivanov Abstract. In this talk, we give a survey of recent results concerning structural properties of some classes of homologically trivial
More informationOn the control measures of vector measures. Baltasar Rodríguez-Salinas. Sobre las medidas de control de medidas vectoriales.
RACSAM Rev. R. Acad. Cien. Serie A. Mat. VOL. 97 (3), 2003, pp. 377 384 Análisis Matemático / Mathematical Analysis On the control measures of vector measures Baltasar Rodríguez-Salinas Abstract. If Σ
More informationREPRESENTABLE BANACH SPACES AND UNIFORMLY GÂTEAUX-SMOOTH NORMS. Julien Frontisi
Serdica Math. J. 22 (1996), 33-38 REPRESENTABLE BANACH SPACES AND UNIFORMLY GÂTEAUX-SMOOTH NORMS Julien Frontisi Communicated by G. Godefroy Abstract. It is proved that a representable non-separable Banach
More informationMath Solutions to homework 5
Math 75 - Solutions to homework 5 Cédric De Groote November 9, 207 Problem (7. in the book): Let {e n } be a complete orthonormal sequence in a Hilbert space H and let λ n C for n N. Show that there is
More informationSelf-equilibrated Functions in Dual Vector Spaces: a Boundedness Criterion
Self-equilibrated Functions in Dual Vector Spaces: a Boundedness Criterion Michel Théra LACO, UMR-CNRS 6090, Université de Limoges michel.thera@unilim.fr reporting joint work with E. Ernst and M. Volle
More informationBanach-Alaoglu theorems
Banach-Alaoglu theorems László Erdős Jan 23, 2007 1 Compactness revisited In a topological space a fundamental property is the compactness (Kompaktheit). We recall the definition: Definition 1.1 A subset
More informationCorrections and additions for the book Perturbation Analysis of Optimization Problems by J.F. Bonnans and A. Shapiro. Version of March 28, 2013
Corrections and additions for the book Perturbation Analysis of Optimization Problems by J.F. Bonnans and A. Shapiro Version of March 28, 2013 Some typos in the book that we noticed are of trivial nature
More informationTree-adjoined spaces and the Hawaiian earring
Tree-adjoined spaces and the Hawaiian earring W. Hojka (TU Wien) Workshop on Fractals and Tilings 2009 July 6-10, 2009, Strobl (Austria) W. Hojka (TU Wien) () Tree-adjoined spaces and the Hawaiian earring
More information