CR extensions with a classical Several Complex Variables point of view. August Peter Brådalen Sonne Master s Thesis, Spring 2018

Size: px
Start display at page:

Download "CR extensions with a classical Several Complex Variables point of view. August Peter Brådalen Sonne Master s Thesis, Spring 2018"

Transcription

1 CR extensions with a classical Several Comlex Variables oint of view August Peter Brådalen Sonne Master s Thesis, Sring 2018

2 This master s thesis is submitted under the master s rogramme Mathematics, with rogramme otion Mathematics, at the Deartment of Mathematics, University of Oslo. The scoe of the thesis is 60 credits. The front age deicts a section of the root system of the excetional Lie grou E 8, rojected into the lane. Lie grous were invented by the Norwegian mathematician Sohus Lie ( ) to exress symmetries in differential equations and today they lay a central role in various arts of mathematics.

3 Acknowledgements I would like to give a secial thanks to Berit Stensønes for her eternal atience and for always ushing me in the right direction. 1

4 Contents 1 Introduction 3 2 Holomorhic functions and domains of holomorhy Holomorhic functions in several comlex variables Domains of holomorhy Enveloes of holomorhy Embedded submanifolds of C n Real embedded submanifolds of C n The comlex tangent sace CR submanifolds Comlex submanifolds of C n The Levi form for generic CR-submanifolds Involutive and integrable subbundles The Levi form for C 2 -smooth generic CR-submanifolds CR functions and the Baouendi-Treves aroximation theorem 50 6 The construction of analytic disks attached to a generic CRsubmanifold The Hilbert transform and Privalov s theorem Bisho s equation and the construction of analytic disks An indication of the roof of Tréreau s theorem for hyersurfaces in C

5 1 Introduction This thesis is dedicated to develoing the theory required in order to rove a theorem first roven by Tréreau in [13], stating that if M C n is a real hyersurface. Then all function f : M C satisfying the tangential Cauchy-Riemann equations extend holomorhically to one side of M, if and only if M is not seudoconvex from each side. In chater 1 we start off by recalling some basic roerties of holomorhic functions in several comlex variables as well as the basic theory on domains of holomorhy following the resentations in [5] and [11]. We then introduce some of the basic theory of enveloes of holomorhy of schlicht domains. Insired by an examle in [4] of a domain which has no enveloe of holomorhy we introduce the Hartogs hull oerator which leads to a useful tool for showing that certain domains are schlicht. In chater 2 we study real embedded submanifolds in C n loosely following a book the resentation in [1]. We start off by introducing the comlex tangent saces of a real embedded submanifold for which we offer several alternate descritions. Insired by an examle of a submanifold for which the dimension of the comlex tangent sace deends on the oint we then introduce the concet of an embedded CR-submanifold. The embedded CR-submanifolds may be thought of as the class of embedded submanifolds for which we may define Cauchy-Riemann equations. Imortant examles of embedded CR-submanifolds include the real hyersurfaces as well as the comlex submanifolds. Finally we define the concet of a generic CR-submanifold and show that all such submanifolds may be brought on a articularly simle form by a local biholomorhic change of variables. In chater 3 we introduce the Lie bracket for vector fields over C 2 -smooth embedded submanifolds of C n which in combination with Frobenius theorem gives a necessary and sufficient condition for the existence of a submanifold with a rescribed tangent bundle structure. We then introduce the concet of a Levi-flat CR-submanifold and we show that the Levi-flatness of a generic CR-submanifold is equivalent to the vanishing of a generalized Levi form. In chater 4 we introduce the concet of a CR-function which generalizes the concet of a holomorhic function. Exanding uon the roof in [1] we establish the Baouendi-Treves aroximation theorem for embedded CR-submanifolds. This result states that if M C n is a C 2 -smooth generic CR-submanifold, then each oint M is contained in an oen neighborhood ω M where all CR-functions may be uniformly aroximated by a sequence of entire holomorhic functions. We then introduce the concet of an analytic disk attached to M and we show that the aroximating functions from Baouendi-Treves aroximation theorem in fact converge to be holomorhic on the (ossibly emty) interior of all such analytic disks locally attached to M. 3

6 In chater 5 we study an imortant aer by Hill-Taiani [7] on the existence of analytic disks attached to a given C 2 -smooth generic CRsubmanifold. We start off by recalling some elementary roerties of harmonic functions. We then introduce the Hilbert transform on the unit circle which we use in order to formulate the Bisho equation. This functional equation gives a necessary and sufficient condition for the existence of (sufficiently regular) analytic disks attached to a generic C 2 -smooth generic CR-submanifold. By a modification of the roof given in [7] of Privalov s theorem we show that the Hilbert transform is a linear continuous oerator between Banach saces. In combination with the imlicit function theorem for Banach saces this leads to the imortant existence theorem for solutions to the Bisho equation. We then introduce a result by Hill-Taiani which shows how the existence of solutions to the Bisho equation may be used in order to find a simle sufficient condition for the existence of a family of analytic disks attached to a given C 5 -smooth generic CR-submanifold, so that the disks foliate a higher-dimensional submanifold. Finally we mention how this result may be used in order to rove a weak version of Tréreau s theorem, and we suggest how one may roceed in order to give a roof of Tréreau s theorem for hyersurfaces in C 2. 2 Holomorhic functions and domains of holomorhy In this chater we recall some basic roerties holomorhic functions and domains of holomorhy. The results and roofs of the results in the first two sections are well-known and may be found in [5] or [11]. In section three we introduce the concet of the enveloe of holomorhy for a connected domain Ω C n as the maximal domain Ω Ω where all holomorhic functions f : Ω C extend holomorhically. Insired by an examle in [4] of a domain which has no enveloe of holomorhy we introduce the concet of a schlicht domain. Finally we introduce the Hartogs hull oerator which gives a way of constructing the enveloe of holomorhy of a schlicht domain, as well as a way of showing that certains domains are schlicht. 2.1 Holomorhic functions in several comlex variables Definition 1. We define the Wirtinger artial derivatives in C n as the oerators defined for 1 j n by = 1 ( i ), = 1 ( + i ). (1) z j 2 x j y j z j 2 x j y j Definition 2. If f : Ω C is a differentiable function defined in an oen 4

7 set Ω C n, then we define the differential of f to be the one-form n f df = dx j + f dy j. (2) x j y j j=1 Introducing the comlex one-forms dz j = dx j + idy j and d z j we obtain the following. Theorem 2.1. Let f : Ω C be a differentiable function defined in an oen set Ω C n, then df = f + f, where n f n f f = dz j, f = d z j. (3) z j z j j=1 We may regard the one-forms dz j and dz j as mas dz j : C n C and dz j : C n by letting dz j (z 1,..., z n ) = z j and letting dz j (z 1,..., z n ) = z j. In this case it is easy to show that the ma f : C n C is C-linear, while the ma f : C n C is antilinear. Definition 3. Let f : Ω C be a continuous function defined on an oen set Ω C n. We say that the function is holomorhic if f = 0, or equivalently if we for each 1 j n and each Ω have that j=1 f z j () = 0. (4) We shall refer to this last system of differential equations as the Cauchy- Riemann equations. It should be noted that the condition that f : Ω C is continuous is not required. This follows from Hartog s theorem on searate analyticity which states that a function f : Ω C is holomorhic if and only if it is holomorhic in each variable searately. It is easy to see that the collection of holomorhic functions on a domain has a natural ring structure. Definition 4. Let Ω C n be a domain, then we define O(Ω) to be the ring of holomorhic functions f : Ω C. Definition 5. We define the olydisk centered at C n of olyradius r R n + as the set n (, r) = {z C n z j j < r j for 1 j n}. (5) In the secial case where = 0 and where r = 1 we shall refer to n (0, 1) as the unit olydisk in C n. In addition we define the distinguished boundary of the olydisk n (, r) as the set Γ n (, r) = {z C n z j j = r j for all 1 j n}. (6) 5

8 In the case where n = 1 we see that the unit olydisk 1 (0, 1) C is simly the oen unit disk. We shall denote the oen unit disk by D and we shall denote its boundary by S 1. By alying the single-variable Cauchy integral formula in each variable searately one easily obtains the following. Theorem 2.2. (The Cauchy integral formula) Let f : Ω C be a holomorhic function defined in an oen set Ω C n and let n (, r) Ω be a relatively comact olydisk. If z n (, r) then f(z) = ( ) 1 n 2πi ζ Γ n (,r) f(ζ) dζ. (7) (ζ n z 1 ) (ζ n z n ) By differentiating the above exression one easily shows that any holomorhic function is C -smooth. Conversely if n (, r) is a olydisk and if f : n (, r) C is a continuous function.then the Cauchy-Riemann equations that the function F : n (, r) C given by F (z) = ( ) 1 n 2πi ζ Γ n (,r) is holomorhic. This easily imlies the following. f(ζ) dζ, (8) (ζ 1 z 1 ) (ζ n z n ) Theorem 2.3. Let Ω C n be an oen set and let {f j } j N be a sequence of holomorhic functions f j : Ω C. If the functions converge uniformly on comacts to a function f : Ω C, then f is holomorhic. By a similar argument as in the one-variable case involving the Cauchy integral formula (Theorem 2.2) one easily shows the following. Theorem 2.4. Let f : Ω C be a holomorhic function defined in an oen set Ω C n. If n (, r) Ω is a olydisk relatively comact in Ω, then the ower series F (z) = α N n 0 converges uniformly to f in n (, r). D α f() α 1! α n! (z 1 1 ) α1 (z n n ) αn, (9) The ower series exansion of holomorhic functions easily imlies the identity theorem. Theorem 2.5. (The identity theorem) Let f : Ω C be a holomorhic function defined in an oen connected set Ω C n. If f vanishes on an oen set U Ω, then f is identically zero. 6

9 The concet of holomorhicity extends readily to vector-valued functions. Definition 6. Let f : Ω C m be a continuous function defined in an oen set Ω C n. We say that f is holomorhic if for each 1 j m we have that the function f j : Ω C is holomorhic. It is convenient to introduce the holomorhic equivalent of a diffeomorhism. Definition 7. Let f : Ω C n be a holomorhic function defined in an oen set Ω C n. If f is invertible with a holomorhic inverse, then we say that f is biholomorhic. 2.2 Domains of holomorhy For any bounded domain Ω C we may find a sequence of oints {z j } j N Ω which clusters at each boundary oint. By the Weierstrass roduct theorem this suggests the existence of a holomorhic function f : Ω C which tends to zero on the boundary. Since holomorhic functions in C have isolated zeroes this imlies that f does not extend to be holomorhic ast the boundary. This suggests that there exist no strictly larger domain Ω Ω so that we may identify O(Ω) = O( Ω). As we shall see the situation is radically different in higher dimensions. There exist bounded domains Ω Ω C n for each n 2 so that O(Ω) = O( Ω). If Ω C n is a bounded domain, then a sufficient condition for the nonexistence of a domain Ω Ω so that O(Ω) = O( Ω) is the existence of a holomorhic function f : Ω C for each Ω so that the function f does not extend to be holomorhic ast the oint. This motivates the following definition. Definition 8. Let Ω C n be an oen set and let f : Ω C be a holomorhic function. We say that f is comletely singular at a oint Ω if there exists no holomorhic function f : U C defined in an oen connected neighborhood U C n of which agrees with f on U Ω. Note that if f : Ω C is not comletely singular at a oint M, then there exists an oen connected neighborhood U C n of and a holomorhic function f : U C which agrees with f on the oen connected set Ω U. By the identity theorem for holomorhic functions this imlies the existence of a local holomorhic extension of f ast the oint. Definition 9. Let Ω C n be an oen set, we say that Ω is a weak domain of holomorhy if there for each oint Ω exists a holomorhic function f : Ω C which is comletely singular at. 7

10 By an earlier remark we see that a domain Ω C n is a weak domain of holomorhy if there for each boundary oint Ω exists a holomorhic function f : Ω C which does not extend to be holomorhic ast the oint. If Ω C n is a convex oen set and if Ω. real-valued linear function f : C n R of the form Then there exists a f(x 1 + iy 1,..., x n + iy n ) = n a j x j + b j y j, (10) so that f() = 0 and so that f(z) < 0 for all z Ω. This may be used in order to rove the following. Theorem 2.6. Let Ω C n be a convex oen set. Then Ω is a weak domain of holomorhy. Definition 10. Let Ω C n be an oen set, we say that Ω is a domain of holomorhy if there exists a holomorhic function f : Ω C which is comletely singular at each boundary oint Ω. It is clear that any domain of holomorhy is a weak domain of holomorhy. In fact one can show that the converse also holds; any weak domain of holomorhy is necessarily a domain of holomorhy. Definition 11. Let Ω C n be an oen set, we say that Ω is a local domain of holomorhy if each oint Ω is contained in an oen neighborhood U C n so that Ω U is a domain of holomorhy. Definition 12. We define a Euclidean Hartogs figure to be a air ( n (0, 1), H) where H n (0, 1) is a set of the form H = {z n (0, 1) r n < z n } {z n (0, 1) z j < r j for 1 j n 1}. (11) For some ositive real numbers r 1,... r n satisfying 0 < r j < 1. Theorem 2.7. Let n 2, let ( n (0, 1), H) be a Euclidean Hartogs figure and let f : H C be a holomorhic function. Then there exists a holomorhic function f : n (0, 1) C which extends f. Proof. Since ( n (0, 1), H) is a Euclidean Hartogs figure there exist real numbers r 1,..., r n satisfying 0 < r j < 1 so that H = {z n (0, 1) r n < z n or z j < r j for 1 j n 1}. (12) j=1 8

11 Define ɛ = min 1 j n r j and ick some real number so that r n < r < 1. Now let D r = {z n (0, 1) r n < r}. Define the function f : D r C by letting f (z) = 1 f(z 1,..., z n 1, ζ) dζ. (13) 2πi ζ =r ζ z n Differentiating under the integral we easily verify that f is holomorhic. Moreover by the single-variable Cauchy-Integral formula it is clear that f (z) = f(z) for all oints z (0, ɛ). It follows by the identity rincile that f and f agree on their common domain of definition. This imlies that the function { f f(z) (z) for z D r = (14) f(z) for z H defines a holomorhic extension of f to D r H = n (0, 1). The above theorem suggests that if ( n (0, 1), H) is a Euclidean Hartogs figure with n 2, then H is not a domain of holomorhy. Definition 13. Let ( n (0, 1), H) be a Euclidean Hartogs figure and let F : n (0, 1) F ( n (0, 1)) be a biholomorhism. Then we refer to the air ( n, H) = (F ( n (0, 1)), F (H)) as a general Hartogs figure. The extension theorem for Euclidean Hartogs figures extends easily to general Hartogs figures. Theorem 2.8. Let n 2, let ( n, H) be a general Hartogs figure and let f : H C be a holomorhic function. Then there exists a holomorhic function f : n C which extends f. Proof. Since ( n, H) is a general Hartogs figure there exists a Euclidean Hartogs figure ( n (0, 1), H) and a biholomorhic function F : n (0, 1) C n so that F (H) = H and so that F ( n (0, 1)) = n. It follows that the function G = (f F ) H : H C is a holomorhic function which by Theorem 2.7 has a holomorhic extension G: n (0, 1) C. Now consider the holomorhic function f = G F 1 : n C, then f H = (G F 1 ) H = f. It follows that f is a holomorhic extension of f. Definition 14. Let Ω C n be an oen set. We say that Ω is Hartogsseudoconvex if for each general Hartogs figure ( n, H) with H Ω we have that n Ω. It is easy to see that a domain of holomorhy Ω C n is necessarily Hartogs-seudoconvex. If this were not the case then there would exist a general Hartogs figure ( n, H) so that H Ω while n Ω. Letting Ω H and alying Theorem 2.7 this would imly that any holomorhic function f : Ω C would extend ast. 9

12 We shall soon see that domains of holomorhy may also be characterized by a form of disk convexity. We first introduce the concet of an analytic disk. Definition 15. If ψ : D C n is a continuous ma which is holomorhic on D, then we refer to ψ as an analytic disk. We shall refer to the ma ψ S 1 as the boundary of the analytic disk. We shall frequently identify an analytic disk ψ : D C n with its image ψ ( D ) C n. Similarly we shall oftentimes refer to the image ψ(s 1 ) as the boundary of the analytic disk. Definition 16. Let ψ : [0, 1] D C n be a continuous function so that for each t [0, 1] the ma ψ t : z ψ(t, z) is an analytic disk. Then ψ is called a continuous family of analytic disks. Definition 17. Let Ω C n be an oen set. We say that Ω has the disk roerty if for each continuous family of analytic disks ψ : [0, 1] D C n with ψ ( {0} D ) ψ ( [0, 1] S 1) Ω (15) it follows that ψ ( [0, 1] D ) Ω. (16) It should be mentioned that there exist several (equivalent) definitions of the disk roerty. The above definition is taken from [5]. Definition 18. Let Ω C n be an oen set and let f : Ω R { } be a function. We say that f is uer semicontinuous if for each c R the set {z Ω f(z) < c} is oen. It is obvious that any continuous function is necessarily uer semicontinuous. In addition one can show that if f : Ω R { } is uer semicontinuous then for each comact K Ω we have that f dλ <. (17) K Definition 19. Let Ω C be an oen set. An uer semicontinuous function f : Ω R { } is called subharmonic if for each oint z Ω there exists some ρ > 0 so that for all 0 < r ρ one has f(z) 1 2π f(z + re iθ ) dθ. (18) 2π 0 It is not hard to show that subharmonic functions satisfy the maximum rincile. 10

13 Theorem 2.9. Let Ω C n be a connected oen set and let f : Ω R { } be a subharmonic function. If w Ω is a oint so that f(w) f(z) for all z Ω, then f is constant. The following result gives a simle way of classifying sufficiently regular subharmonic functions. Theorem Let Ω C n be an oen set and let f : Ω R be a C 2 - smooth function. The function f is subharmonic if and only if its Lalacian satisfies f 0. The natural extension of subharmonicity to several variables is lurisubharmonicity. Definition 20. Let Ω C n be an oen set. An uer semicontinuous function f : Ω R { } is called lurisubharmonic if for each z Ω and for each w C n one has that the function ζ f(z + ζw) is subharmonic wherever it is defined. We are now ready to define the concet of seudoconvexity. Definition 21. Let Ω C n be an oen set and let d Ω : Ω R { } be the distance function d Ω (z) = inf w Ω z w C n. (19) We say that Ω is seudoconvex if the function log d Ω : Ω R { } is lurisubharmonic. It should be noted that the seudoconvexity of a domain Ω C n is tyically defined by the existence of a lurisubharmonic exhaustion function. These two definitions can however be shown to be entirely equivalent. It can be shown that if f, g : Ω R { } are lurisubharmonic functions, then so is max {f, g} : Ω R { }. This imlies the following. Theorem Let Ω 1 C n and Ω 2 C n be seudoconvex domains. Then Ω 1 Ω 2 is seudoconvex. The famed solution to the Levi roblem gives us several ways of verifying that a domain is a domain of holomorhy. Theorem (The solution to the Levi roblem) Let Ω C n be an oen set, then the following are equivalent. (i) Ω is a weak domain of holomorhy. (ii) Ω is a domain of holomorhy. 11

14 (iii) Ω is a local domain of holomorhy. (iv) Ω is Hartogs seudoconvex. (v) Ω has the disk roerty. (vi) Ω is seudoconvex. For oen sets Ω C n with C 2 -smooth boundary we may define domains of holomorhy by a simle differential criterion. If Ω, then there exists a C 2 -smooth function r : U R defined in an oen neighborhood U C n of so that (i) Ω U = {z U r(z) = 0}, (ii) Ω U = {z U r(z) < 0}, (iii) dr 0 in U. We refer to any such function as an oriented locally defined defining function for Ω at. Furthermore we define the holomorhic tangent sace at as the subsace T (1,0) Ω C n given by n T (1,0) Ω = a r Cn a j () = 0 z j. (20) It can be shown that this subsace is a comlex (n 1)-dimensional subsace which is indeendent of the function r. Definition 22. Let Ω C n be an oen set with C 2 -smooth boundary. We say that Ω is Levi-seudoconvex if there for each oint Ω exists an oriented locally defined defining function r : U R for Ω at so that the Levi form L r : T (1,0) Ω R given by is non-negative. L r(a 1,... a n ) = j=1 n j=1 k=1 2 r z j z k ()a j a j, (21) It turns out that the condition that L r 0 is indeendent of the choice of function r. In fact the following holds. Theorem Let Ω C n be an oen set with C 2 -smooth boundary, then Ω is seudoconvex if and only if it is Levi-seudoconvex. Note that by the solution to the Levi roblem this gives a simle way of verifying whether a C 2 -smooth domain is a domain of holomorhy. 12

15 2.3 Enveloes of holomorhy In Theorem 2.7 we saw that if ( n (0, 1), H) is a Euclidean figure with n 2, then all holomorhic functions f : H C admit a holomorhic extension f : n (0, 1) C. This suggests the identification O(H) = O( n (0, 1)). Furthermore, since n (0, 1) is convex it follows from Theorem 2.6 that it is seudoconvex. This imlies that there exist no strictly larger domains Ω n (0, 1) with O( Ω) = O(H). In this sense we see that n (0, 1) is the maximal extension domain of H. We make the following definition. Definition 23. Let Ω C n be a connected domain. Suose that there exists a seudoconvex connected set Ω Ω so that O(Ω) = O( Ω). Then we refer to Ω as the enveloe of holomorhy of Ω. Since the enveloe of holomorhy of a domain is suosed to reresent the maximal extension domain we should require that it is unique. The following theorem shows that this is indeed the case. Theorem Let Ω C n be a connected domain with enveloes of holomorhy Ω 1 and Ω 2, then Ω 1 = Ω 2. Proof. If Ω C n is a connected domain with enveloes of holomorhy Ω 1 and Ω 2. Then we may for each holomorhic function f : Ω C find holomorhic functions f 1 : Ω 1 C and f 2 : Ω 2 C which agree with f on Ω. Since Ω 1 and Ω 2 are connected sets containing Ω we see that Ω 1 Ω 2 is connected. It follows by an alication of the identity theorem (Theorem 2.5) that the function f : Ω 1 Ω 2 C given by f(z) = { f1 (z) for z Ω 1 f 2 (z) for z Ω 2 (22) is a well-defined holomorhic function. This construction suggests the identification O( Ω 1 ) = O( Ω 2 ) = O( Ω 1 Ω 2 ). Now if Ω 1 Ω 2, then there exists (after a ossible relabeling) some oint Ω 1 Ω 2. The above construction suggests that all holomorhic functions on Ω 1 extend to be holomorhic on the connected set Ω 1 Ω 2 which imlies that the domain Ω 1 is not a weak domain of holomorhy. By the solution to the Levi roblem (Theorem 2.12) this contradicts the seudoconvexity of Ω 1. We must therefore conclude that Ω 1 = Ω 2. It is imortant to note that there exist connected domains Ω C n which admit no enveloe of holomorhy, an examle of such a domain may be found in [4]. This can be remedied if we allow our holomorhic functions to extend holomorhically to a secial kind of n-dimensional comlex manifold. We shall not need to do so, instead we introduce the following definition. 13

16 Definition 24. Let Ω C n be a connected domain whose enveloe of holomorhy exists. Then we refer to Ω as a schlicht domain. We will need the following roerty of schlicht domains. Theorem Let Ω C n be a schlicht domain with enveloe of holomorhy Ω C n. If f : Ω C is a holomorhic function, then f(ω) = f( Ω). Proof. If this is not the case then there exists some oint w Ω \ Ω so that f(w) / f(ω). Now define the holomorhic function g : Ω C by letting g(z) = 1 f(z) f(w). (23) By the definition of the enveloe of holomorhy this function has a holomorhic extension g : Ω C. Alying the identity theorem we see that f(z) = 1 + f(w). (24) g(z) Evaluating this exression at z = w gives that 1/ g(w) = 0 which is clearly absurd. We must therefore conclude that f(ω) = f( Ω). In general it is not a simle task to verify whether that a domain is schlicht. In order to give one way of showing that a domain is schlicht we introduce the Hartogs hull oerator which is insired by the fact that a domain is seudoconvex if and only if it is Hartogs seudoconvex. Definition 25. Let D n denote the collection of connected sets in C n. We define the Hartogs hull oerator T : D n D n by letting T (Ω) be the collection of all oints z C n that are contained in some n, where ( n, H) is a general Hartogs figure with H Ω. It is easy to see that the Hartogs hull oerator is well-defined. If Ω C n is a connected domain then we define a sequence of nested oen connected sets Ω = T 0 (Ω) T (Ω) T 2 (Ω)... T j (Ω)... (25) by the recursive relation T k+1 (Ω) = T (T k (Ω)). The imortance of the Hartogs hull oerator follows from the following theorem. Theorem Let Ω C n be a connected domain and let T (Ω) = j N T j (Ω). (26) Then T (Ω) is a seudoconvex connected domain. Moreover if Ω is schlicht, then T (Ω) is its enveloe of holomorhy. 14

17 Proof. We first show that if Ω C n is any domain, then T (Ω) is a seudoconvex connected set. The fact that T (Ω) is a connected domain follows easily from a toological argument. To see that it is also seudoconvex we recall from the solution to the Levi roblem (Theorem 2.12) that T (Ω) is seudoconvex if and only if it is Hartogs seudoconvex. Now if ( n, H) is a general Hartogs figure with H T (Ω), then H T k (Ω) for some k N. It follows from the definition of the Hartogs hull oerator that n T k+1 (Ω) T (Ω). Now suose that Ω is a schlicht domain with enveloe of holomorhy Ω, we need to show that Ω = T (Ω). By another alication of the solution to the Levi roblem we see that the enveloe of holomorhy Ω is Hartogs seudoconvex. Since Ω Ω this imlies that T j (Ω) Ω for all j N which shows that T (Ω) Ω. Suose now that this inclusion is strict, then by another alication of the solution to the Levi roblem we see that the set T (Ω) is a domain of holomorhy contained in Ω. It follows that there exists a holomorhic function f : T (Ω) C which does not extend to be holomorhic on any Ω. But then the function f Ω : Ω C is a holomorhic function which has no holomorhic extension to the enveloe of holomorhy Ω which contradicts the assumtion that Ω is the enveloe of holomorhy of Ω. We must therefore conclude that T (Ω) = Ω. It is interesting to note that even for a non-schlicht domain Ω C n the set T (Ω) is always seudoconvex. The reason for T (Ω) not being the enveloe of holomorhy of Ω must therefore stem from the fact that there exists some k N 0 for which not all holomorhic functions f : T k (Ω) C extend to be holomorhic on T k+1 (Ω). The existence of non-schlicht domains might therefore aear to contradict Theorem 2.8 which states that if ( n, H) is a general Hartogs figure with H T k (Ω). Then each holomorhic function f : H C has a holomorhic extension f : n C. This gives a local holomorhic extension of f to an oen set in T k+1 (Ω), but it may fail to give a global holomorhic extension to all of T k+1 (Ω). To examine what may go wrong we attemt to define a global holomorhic extension f : T k+1 (Ω) C in the following way. If z T k+1 (Ω) then there exists a general Hartogs figure ( n z, H z ) so that H z T k (Ω) and so that z n z. Now consider the holomorhic function f Hz : Hz C and let f z : n z C be the holomorhic extension from Theorem 2.8. We wish to define a global holomorhic extension of f by defining f(z) = fz (z), where { fz f(z) for z Ω, (z) = f z (z) for z n (27) z. 15

18 If the functions fz are well-defined then by a connectedness argument and the identity rincile one sees that this indeed gives a well-defined holomorhic extension. This need however not be the case, in order to show that the functions fz are well-defined we would have to show that for all z T k (Ω) n z we have that f(z) = f z (z). If the set T k (Ω) n z is connected then this follows from the identity rincile, but in the case where the set fails to be connected the function need not be well-defined. This is exactly what goes wrong in the examle of a non-schlicht domain Ω C 2 given in [4] where the function f(z, w) = z 3 has a well-defined local holomorhic extension at each oint but it fails to form a global holomorhic extension. The above idea immediately gives the following interesting result. Theorem Let D D be a class of connected oen domains with the following roerties: (i) If Ω D, then T (Ω) D. (ii) For each Ω D and each general Hartogs figure ( n, H) with H Ω, we have that Ω n is connected. Then each element Ω D is schlicht. Proof. Let Ω D, then Ω is schlicht if and only if we for each k N 0 and each holomorhic function f : T k (Ω) C have a holomorhic extension f : T k+1 (Ω) C. By the above discussion this will be the case if we can show that for any general Hartogs figure ( n, H) with H T k (Ω) we have that T k (Ω) n is a connected set. This follows immediately from the second roerty of the class D. In fact by the solution to the Levi roblem we have that a domain is seudoconvex if and only if it is seudoconvex locally. This can be used in order to define a generalized Hartogs hull oerators T ɛ : D n D n for 0 < ɛ by only considering general Hartogs figures whose diameter is smaller than ɛ. It is not hard to show that these oerators also lead to a way of constructing the enveloe of holomorhy of schlicht domains. 3 Embedded submanifolds of C n We shall assume that the reader is familiar with the concet of real and comlex differentiable manifolds (both with and without boundary), differentiable functions between such manifolds, as well as some basic knowledge of real and comlex differential forms. In this chater we introduce the concet of an embedded submanifold of C n and we study its real and comlexified tangent sace. We then introduce a secial class of embedded submanifolds known as CR-submanifolds whose geometric tangent bundle 16

19 contains a comlex subbundle. Imortant examles of CR-submanifolds include the real hyersurfaces and comlex submanifolds. Many of the results in this chater are taken from [1], but we offer several anternate, missing and exanded roofs. 3.1 Real embedded submanifolds of C n Definition 26. Let M C n, we say that M is a C s -smooth (1 s ) embedded submanifold of C n of codimension 0 d 2n if for each M there exists an oen set U C n, and a C s -smooth function r : U R d which satisfies the following: (i) M U = {z U r(z) = 0}. (ii) dr 1 dr d 0 on U. We refer to any such function r as a locally defined defining function for M at. It can be shown that if M C n is a C s -smooth (1 s ) embedded submanifold of codimension 0 d 2n, then M has the structure of a C s - smooth manifold of dimension 2n d equied with the subsace toology. In addition we remark that the embedded submanifolds of codimension d = 0 are exactly the oen sets of C n. Definition 27. Let C n, we define the tangent sace of C n at as the real 2n-dimensional vector sace { } T C n = san R x 1, y 1,..., x n,. (28) y n Definition 28. Let M C n be an embedded submanifold of codimension 0 d 2n and let M. We define the tangent sace of M at to be the real (2n d)-dimensional vector sace T M = {X T C n X r j = 0 for all 1 j d}. (29) Where r : U R d is any locally defined defining function for M at. It can be shown that the definition of the tangent sace T M does not deend on the choice of locally defined defining function at. Note that we do not define the tangent sace T M to be the sace of oint-derivations at. This is done in order to avoid infinite-dimensional tangent saces. Indeed, if M is a C s -smooth manifold then the sace of oint-derivations at is finite-dimensional if and only if s =. 17

20 Definition 29. Let M C n be an embedded submanifold. We define the tangent bundle of M as the set T M = {} T M. (30) M For our alications it is sufficient to treat the tangent bundle T M as a set without any additional structure. With some work we could however have given T M the structure of a manifold. This would give us a articularly elegant formulation of vector fields on M. Instead we shall settle for the following equivalent formulation. Definition 30. Let M C n be an embedded submanifold. A C s -smooth (0 s ) vector field on M is a ma X : M T M of the form X() = (, X ). Where X = n a j () x j + b j () y j T M, (31) j=1 has coefficients a j () and b j () deending C s -smoothly on. We shall frequently identify a vector field X : M T M with the associated rojection X. Definition 31. Let V be a real vector sace. We define the comlexification of V as the comlex vector sace CV = C V. (32) In other words the comlexification CV is exactly the comlex vector sace we obtain by extending V to be a vector sace over the comlex numbers. It is clear that if V is finite-dimensional then dim R V = dim C CV. In order to better understand the comlexified tangent saces of C n we recall the Wirtinger artial differential oerators defined for 1 j n by = 1 ( z j 2 z j = 1 2 i ) x j y j ( + i x j y j (33) ). (34) The Wirtinger artial differential oerators give an alternate way of describing the comlexified tangent saces of C n. 18

21 Theorem 3.1. Let C n then { } CT C n = san C x 1, y 1,..., x n,, (35) y n or equivalently { } CT C n = san C z 1, z 1,..., z n,. (36) z n The concet of a tangent bundle of an embedded submanifold easily generalizes to comlexified tangent saces. Definition 32. Let M C n be an embedded submanifold, we define the comlexified tangent bundle of M as the set CT M = {} CT M. (37) M Definition 33. Let M C n be an embedded submanifold. A C s -smooth (0 s ) comlex vector field on M is a ma X : M T M of the form X() = (, X ). Where X CT M, and where X = n a j () x j + b j () y j, (38) j=1 has coefficients a j () and b j () deending C s -smoothly on. As with real vector fields we shall tyically identify a comlex vector field X : M T M with the associated rojection X. It is easy to verify that a ma X : M T M is a C s -smooth comlex vector field if and only if it is of the form X() = (, X ), where X = n c j () z j + d j z j CT M, (39) j=1 has coefficients c j () and d j () deending C s -smoothly on. Using the Wirtinger artial derivatives we introduce the concet of a conjugate tangent vector. Definition 34. Let C n and let X CT C n be given by X = n j=1 a j z j + b j z j. (40) 19

22 We define the conjugate tangent vector X CT C n by X = n j=1 b j z j + a j z j. (41) It is trivial to show that conjugation is an antilinear and involutive oeration. In this sense we see that conjugation of tangent vectors behaves exactly as the usual conjugation of comlex numbers. With some more work we shall show that if M C n is an embedded submanifold and M. Then for any X CT M we also have that X CT M. In order to show this we first rove the following theorem which is imortant in its own right. Theorem 3.2. Let M C n be an embedded submanifold and let M. If r : U R d is a locally defined defining function for M at, then CT M = {X CT C n X r j = 0 for all 1 j d}. (42) Proof. Let r : U R d be a locally defined defining function for M at. First suose that X CT M, then X = a j Y + ib j Y for some real tangent vector Y T M. It follows trivially that X r j = 0 for all 1 j d. Conversely suose that X CT C n is such that X r j = 0 for all 1 j d. Writing n X = (a k + ib k ) x k + (c k + id k ) y k (43) k=1 for real numbers a k, b k, c k and d k we get that X = Y +iz. Where Y, Z T C n are real tangent vectors of C n at given by Y = n k=1 a k x k + c k y k, (44) and Z = n k=1 b k x k + d k y k. (45) By assumtion X r j = Y r j + iz r j = 0 for all 1 j d, this imlies that Y, Z T M. It follows that X = Y + iz CT M. Using this theorem we can show that comlexified tangent saces are closed under conjugation. Theorem 3.3. Let M C n be an embedded submanifold and let M. If X CT M, then X CT M. 20

23 The real numbers R may be regarded as the oints z C that are unchanged by conjugation. The following theorem shows that a similar result holds for tangent saces; the real tangent sace T M is exactly the collection of comlexified tangent vectors X CT M which satisfy X = X. Theorem 3.4. Let M C n be an embedded submanifold and let M. Then T M = { X CT M X = X }. (46) In other words T M is exactly the real subsace of comlexified tangent vectors X CT M of the form X = n j=1 c j z j + c j z j. (47) Proof. First suose that X = n j=1 a j x j + b j y j T M. Define c j = a j + ib j, then a simle comutation shows that X = n j=1 c j z j + c j z j. (48) In other words X = X. Conversely, if X CT M satisfies X = X, then X is of the form n X = c j z j + c j z j. (49) j=1 Writing c j = a j + ib j where a j and b j are real, we see that X = n j=1 a j x j + b j y j. (50) Which is clearly a real tangent vector, that is X T M. 3.2 The comlex tangent sace Let M C n be an embedded submanifold of codimension 0 d 2n and let M. We may regard the tangent sace T M as a subsace of C n by identifying each tangent vector X = n j=1 a j x j + b j y j T M (51) with its corresonding geometric tangent vector (a 1 +ib 1,... a n +ib n ) C n. Under this identification we may regard T M as a real (2n d)-dimensional 21

24 subsace of C n. In general this sace does not have the structure of a comlex vector subsace of C n, but we may always decomose where HT M is the maximal comlex subsace T M = HT M X M, (52) HT M = {z T M iz T M}, (53) and where X M is the orthogonal comlement of HT M in T M. In order to make sense of this decomosition when T M is regarded as the usual algebraic tangent sace we introduce the standard smooth structure on T C n. Definition 35. Let C n, we defined the standard smooth structure on T C n as the linear ma J : T C n T C n n J a j x j + n = b j y j x j + a j y j. (54) j=1 Note that the J-oerator corresonds to multilication by the imaginary unit i in the geometric tangent sace T C n C n. This suggests the following result. Theorem 3.5. Let M C n be an embedded submanifold and let M. The tangent sace T M decomoses as T M = HT M X M where HT M T M is the comlex tangent sace j=1 HT M = {X T M J(X ) T M}, (55) and where X T M is the real art of T M given as the orthogonal comlement of HT M in T M. Similar to the definition of the tangent bundle we introduce the following notation. Definition 36. Let M C n be an embedded submanifold, we define the subsets HT M T M and XM T M by HT M = {} HT M, (56) and M XM = M {} X M. (57) We shall later see that the subsets HT M, XM T M need not be subbundles. On the other hand the decomosition T M = HT M X M clearly imlies that HT M T M is a subbundle if and only if XM T M is a subbundle. 22

25 Theorem 3.6. Let M C n be an embedded submanifold and let M. Then HT M has a basis of the form where X j T M for each 1 j m. {X 1, J(X 1 ),..., X m, J(X m )}, (58) Proof. Let X HT M be any non-zero vector, then X and J(X ) form a linearly indeendent set. The existence of a basis as above then follows from a simle induction argument. The next theorem gives an imortant bound on the dimension of the comlex tangent sace HT M. Theorem 3.7. Let M C n be an embedded submanifold of codimension 0 d 2n and let M. The dimension of the comlex tangent sace HT M T M is an even number which satisfies the inequality. 2n 2d dim HT M 2n d. (59) Proof. The fact that HT M is even-dimensional follows immediately from the revious theorem. The uer bound dim HT M 2n d is an immediate consequence of the inclusion HT M T M. In order to obtain the lower bound we write HT M = T M J(T M) and consider the quotient sace T M J(T M) T M J(T M). (60) Noting that T M J(T M) T C n we see that dim T M J(T M) T M J(T M) dim T M J(T M) dim T C n = 2n. (61) It follows that dim T M + dim J(T M) dim HT M = dim T M J(T M) T M J(T M) 2n. (62) One easily verifies that dim T M = dim J(T M) = 2n d which when combined with the above inequality easily yields the necessary lower bound. Later we shall use the above lower bound in order to define the concet of a generic CR-submanifold. It is therefore of some interest to investigate whether this is the best ossible bound for a given n N and a given 0 d 2n. Suose first that d n, then M = C n d R d C n is clearly an embedded submanifold of codimension d. Furthermore, if M then { } HT M = san x 1, y 1,...,, (63) 23 x n d y n d

26 so that dim HT M = 2n 2d. If instead n < d, then M = R 2n d {0} d n C n is an embedded submanifold of codimension d. Now if M then one easily shows that HT M is trivial, so that dim HT M = 0. This shows that the given lower bound is indeed the best ossible bound. We now turn our attention towards the comlexified comlex tangent sace CHT M. We first introduce the following useful notation. Definition 37. Let M C n be an embedded submanifold, we define the subsets CHT M CT M and CXM CT M by CHT M = {} CHT M, (64) and T (0,1) M CXM = M {} CXM. (65) We now introduce the comlex vector subsaces T (1,0) M CT M and M CT M. We then show that these saces lead to a nice decomosition of CHT M. Definition 38. Let C n, we define the comlex vector subsaces T (1,0) C n CT C n and T (0,1) C n CT C n by { } T (1,0) C n = san C z 1,...,, (66) z n and { } C n = san C z 1,...,. (67) z n T (0,1) Definition 39. Let M C n be an embedded submanifold of codimension 0 d 2n and let M. We define the comlex vector subsaces T (1,0) M CT M and T (0,1) M CT M by and T (1,0) M = CT M T (1,0) C n, (68) T (0,1) M = CT M T (0,1) C n. (69) The sace T (1,0) M is often referred to as the holomorhic tangent sace at M at, while the sace T (0,1) M is often referred to as the antiholomorhic tangent sace of M at. The following theorem gives a simle way of comuting the saces T (1,0) M and T (0,1) M. The roof is a trivial consequence of Theorem

27 Theorem 3.8. Let M C n be an embedded submanifold of codimension 0 d 2n and let M. If r : U R d is a locally defined defining function for M at, then (i) T (1,0) M = { X T (1,0) C n X r j = 0 for 1 j d }, { } (ii) T (0,1) M = X T (0,1) C n X r j = 0 for 1 j d. Theorem 3.9. Let M C n be an embedded submanifold and let M. Then the following holds (i) T (1,0) M T (0,1) M = {0}, (ii) T (0,1) M = T (1,0) M. Proof. The first roerty is clear from the fact that T (1,0) C n T (0,1) C n. In order to rove the second roerty, let 0 d 2n be the codimension of M and let r : U R d be a locally defined defining function for M at. Note from Theorem 3.8 that X = n j=1 a j z j CT M lies in T (0,1) M if and only if X r j = 0 for all 1 j d. Equivalently, using that r is real-valued we see that X lies in T (0,1) M if and only if X r j = 0 for all 1 j d. By Theorem 3.8 this is equivalent to X T (1,0) M. Definition 40. Let M C n be an embedded submanifold. We define the sets T (1,0) M CT M and T (0,1) M CT M by letting T (1,0) M = {} T (1,0) M, (70) M and letting T (0,1) M = M {} T (0,1) M. (71) We shall later see that the subsets T (1,0) M, T (0,1) M CT M need not be subbundles. Note however that from Theorem 3.9 the set T (1,0) M will be a subbundle if and only if T (0,1) M is a subbundle. Definition 41. Let M C n be an embedded submanifold. A C s -smooth (0 s ) (1, 0)-vector field over M is a C s -smooth comlex vector field of the form X : M T (1,0) M. Similarly a C s -smooth (0 s ) (0, 1)-vector field over M is a C s -smooth comlex vector field of the form X : M T (0,1) M. Let V be a real vector sace. A linear ma J : V V is called a comlex structure if J 2 (x) = x for each x V. A basis result on comlex structures says that any such ma extends to a C-linear ma J : CV CV. This immediately imlies the following. 25

28 Theorem If M, then the comlex structure ma J : T C n T C n extends to be C-linear as a ma J : CT C n CT C n. The C-linearity of the ma J : T C n T C n easily gives the following alternate descrition of the comlexified comlex tangent sace CHT M. Theorem Let M C n be an embedded submanifold and let M. Then CHT M = {X CT M J(X ) CT M}. (72) If we exress our comlexified tangent vectors in terms of the Wirtinger derivatives then the above ma J : CT C n CT C n takes the following simle form. Theorem Let C n and let X CT C n be given by X = n j=1 a j z j + b j z j, (73) then J(X ) = n ia j z j ib j z j. (74) j=1 Proof. By C-linearity ( J(X ) = 1 n ) ( ) a j J 2 x j=1 j ia j J y j (75) ( + 1 n ) ( ) b j J 2 x j=1 j + ib j J y j (76) = 1 n a j 2 y j=1 j + ia j x j (77) + 1 n b j 2 y j=1 j ib j x j (78) ( = 1 n ia j 2 x j=1 j i ) z j (79) ( + 1 n ibj 2 x j=1 j + i ) y j (80) n = ia j z j ib j z j. (81) j=1 26

29 The last statement may be rehrased in terms of the eigenvectors of the ma J : CT C n CT C n. Note that if X CT C n is an eigenvector for J corresonding to the eigenvalue λ C n, then X = J 2 (X ) = λ 2 X. This imlies that the only ossible eigenvalues for J are i and i. Now by the revious theorem we see that T (1,0) to the eigenvalue i and that T (0,1) eigenvalue i. C n is the eigensace corresonding C n is the eigensace corresonding to the Theorem Let M C n be an embedded submanifold and let M. If {X 1, J(X 1 ),..., X m, J(X m )} (82) is a basis for HT M, then {X 1 + ij(x 1 ),..., X m + ij(x m ), X 1 ij(x 1 )..., X m ij(x m )} (83) is a basis for CHT M. Consequentially CHT M slits as CHT M = T (1,0) M T (0,1) M. (84) Proof. Let {X 1, J(X 1 ),..., X m, J(X m )} be a basis for HT M (from Theorem 3.6 a basis of this form always exists). By Theorem 3.4 we may find comlex numbers c j,k for each 1 j n and 1 k m so that X k = c j,k z j=1 j + c j,k z j. (85) Using the revious theorem we see that X k ij(x k ) = X k + ij(x k ) = n j=1 n j=1 c j,k c j,k z j, (86) z j. (87) Note that X k ij(x k ) T (1,0) M and that X k +ij(x k ) T (0,1) M. Moreover a simle comutation shows that {X 1 + ij(x l ),..., X m + ij(x m ), X 1 ij(x 1 ),..., X m ij(x m )} (88) is a basis for CHT M which finishes the roof. In fact the above roof clearly shows that if X HT M, then we have that X ij(x ) T (1,0) M, and that X + ij(x ) T (0,1) M. This imlies the following alternate characterization of the saces T (1,0) M and T (0,1) M. 27

30 Theorem Let M C n be an embedded submanifold and let M. Then (i) T (1,0) M = {X ij(x ) X HT M}, (ii) T (0,1) M = {X + ij(x ) X HT M}. Proof. Recall from Theorem 3.4 that if X T M, then X = X. It follows that {X ij(x ) X HT M} = {X + ij(x ) X HT M}. (89) Now from Theorem 3.9 we know that T (1,0) M = T (0,1) M, it is therefore sufficient to show that T (0,1) M = {X + ij(x ) X HT M}. (90) By the revious theorem there exists a basis for T (0,1) M of the form {X 1 + ij(x 1 ),..., X m + ij(x m )}, (91) where X j HT M for 1 j m. We define the set D (0,1) M = {X + ij(x ) X HT M}, (92) and note the obvious inclusion T (0,1) M D (0,1) M. By the remarks following the last theorem we also obtain the inclusion D (0,1) M T (0,1) M. This finishes the roof. We finish off this technical section with one final result. This result gives an alternate descrition of the comlex tangent sace HT M in terms of the sace T (1,0) M. Theorem Let M C n be an embedded submanifold and let M. The comlex tangent sace HT M T M is given by { } HT M = X + X CT M X T (1,0) M. (93) Proof. We first show that if X T (1,0) M, then X + X HT M. Now by the revious theorem we may write X = Y ij(y ) for some Y HT M. It follows from an alication of T heorem 3.9 that X + X = 2Y. This imlies that X + X HT M. Conversely if Y HT M, then we know from the revious theorem that X = 1 2 (Y ij(y )) T (1,0) M. Now Y = X + X which finishes the roof. 28

31 3.3 CR submanifolds We have already hinted at the existence of submanifolds M C n for which the subset HT M T M is not a subbundle. We are now going to show one such manifold. Let r : C 2 R 2 be the function r(x 1 + iy 1, x 2 + iy 2 ) = (x 1, y 1 + x 2 y 2 2 1), (94) and define M = { z C 2 r(z) = 0 }. First note that r is clearly C - smooth, furthermore a simle calculation shows that df 1 df 2 = dx 1 dy 1 + y 2 2 dx 1 dx 2 + 2x 2 y 2 dx 1 dy 2. (95) Clearly this does not vanish anywhere and so we see that M is a C -smooth submanifold of codimension d = 2. We now calculate the tangent sace T M at a oint = (x 1 + iy 1, x 2 + iy 2 ) M. The tangent sace is given by the collection of tangent vectors X = 2 j=1 a j x j + b j y j T C 2 which satisfy the following system of equations X f 1 = a 1 = 0, (96) X f 2 = b 1 + 2b 2 x 2 y 2 + a 2 y 2 2 = 0. (97) Solving this system we see that { } T M = san x 2 y2 2 y 2, y 2 2x 2 y 2. (98) y 1 Now if = (i, 0) then the tangent sace takes the simle form { } T M = san x 2,. (99) y 2 Recalling our original definition of the comlex tangent sace HT M we immediately see that dim HT M = 2. Now if instead = (0, 1/ i/ 3 3), then T M is given by { ( ) T M = san 1 2 ( ) x y 2, 1 2 } y 2 2. (100) 3 3 y 1 Now suose that X T M satisfies J(X ) T M. Writing X = a ( ) 1 2 x y 2 + b ( ) 1 2 y y 1, (101) 29

32 we see that ( ( ) 1 2 J(X ) = a 3 3 x 2 + ) ( ( ) 1 2 y 2 + b x 1 ) y 2. (102) By assumtion J(X ) T M, now T M contains no artial derivatives with resect to the x 1 -variable and so we may immediately conclude that b = 0. It follows that J(X ) is of the form ( ( ) 1 2 J(X ) = a 3 3 x 2 + ), (103) y 2 which is clearly not in T M unless a = 0. We must therefore conclude that HT M is trivial, that is dim HT M = 0. We give embedded submanifolds M C n for which HT M T M is a subbundle a secial name. Definition 42. Let M C n be an embedded submanifold. We say that M is a CR-submanifold if we for each air of oints, q M have that dim HT M = dim HT q M. In this case we refer to the common dimension of the comlex tangent saces as the CR-dimension of M which we denote by CR dim M. For the remaining chaters we shall work exclusively with CR-submanifolds. We shall see that the CR-submanifolds include many of the most imortant submanifolds in analysis. The following result gives several equivalent definitions for a submanifold to be a CR-submanifold. The theorem follows easily from all our revious work. Theorem Let M C n be an embedded submanifold. The following are equivalent. (i) M is a CR-submanifold. (ii) HT M T M is a subbundle. (iii) XM T M is a subbundle. (iv) CHT M CT M is a subbundle. (v) CXM CT M is a subbundle. (vi) T (1,0) M CT M is a subbundle. (vii) T (0,1) M CT M is a subbundle. 30

ANALYTIC NUMBER THEORY AND DIRICHLET S THEOREM

ANALYTIC NUMBER THEORY AND DIRICHLET S THEOREM ANALYTIC NUMBER THEORY AND DIRICHLET S THEOREM JOHN BINDER Abstract. In this aer, we rove Dirichlet s theorem that, given any air h, k with h, k) =, there are infinitely many rime numbers congruent to

More information

Introduction to Banach Spaces

Introduction to Banach Spaces CHAPTER 8 Introduction to Banach Saces 1. Uniform and Absolute Convergence As a rearation we begin by reviewing some familiar roerties of Cauchy sequences and uniform limits in the setting of metric saces.

More information

Elementary Analysis in Q p

Elementary Analysis in Q p Elementary Analysis in Q Hannah Hutter, May Szedlák, Phili Wirth November 17, 2011 This reort follows very closely the book of Svetlana Katok 1. 1 Sequences and Series In this section we will see some

More information

SYMPLECTIC STRUCTURES: AT THE INTERFACE OF ANALYSIS, GEOMETRY, AND TOPOLOGY

SYMPLECTIC STRUCTURES: AT THE INTERFACE OF ANALYSIS, GEOMETRY, AND TOPOLOGY SYMPLECTIC STRUCTURES: AT THE INTERFACE OF ANALYSIS, GEOMETRY, AND TOPOLOGY FEDERICA PASQUOTTO 1. Descrition of the roosed research 1.1. Introduction. Symlectic structures made their first aearance in

More information

DIFFERENTIAL GEOMETRY. LECTURES 9-10,

DIFFERENTIAL GEOMETRY. LECTURES 9-10, DIFFERENTIAL GEOMETRY. LECTURES 9-10, 23-26.06.08 Let us rovide some more details to the definintion of the de Rham differential. Let V, W be two vector bundles and assume we want to define an oerator

More information

ε i (E j )=δj i = 0, if i j, form a basis for V, called the dual basis to (E i ). Therefore, dim V =dim V.

ε i (E j )=δj i = 0, if i j, form a basis for V, called the dual basis to (E i ). Therefore, dim V =dim V. Covectors Definition. Let V be a finite-dimensional vector sace. A covector on V is real-valued linear functional on V, that is, a linear ma ω : V R. The sace of all covectors on V is itself a real vector

More information

MATH 6210: SOLUTIONS TO PROBLEM SET #3

MATH 6210: SOLUTIONS TO PROBLEM SET #3 MATH 6210: SOLUTIONS TO PROBLEM SET #3 Rudin, Chater 4, Problem #3. The sace L (T) is searable since the trigonometric olynomials with comlex coefficients whose real and imaginary arts are rational form

More information

HEAT AND LAPLACE TYPE EQUATIONS WITH COMPLEX SPATIAL VARIABLES IN WEIGHTED BERGMAN SPACES

HEAT AND LAPLACE TYPE EQUATIONS WITH COMPLEX SPATIAL VARIABLES IN WEIGHTED BERGMAN SPACES Electronic Journal of ifferential Equations, Vol. 207 (207), No. 236,. 8. ISSN: 072-669. URL: htt://ejde.math.txstate.edu or htt://ejde.math.unt.edu HEAT AN LAPLACE TYPE EQUATIONS WITH COMPLEX SPATIAL

More information

SECTION 5: FIBRATIONS AND HOMOTOPY FIBERS

SECTION 5: FIBRATIONS AND HOMOTOPY FIBERS SECTION 5: FIBRATIONS AND HOMOTOPY FIBERS In this section we will introduce two imortant classes of mas of saces, namely the Hurewicz fibrations and the more general Serre fibrations, which are both obtained

More information

LECTURE 6: FIBER BUNDLES

LECTURE 6: FIBER BUNDLES LECTURE 6: FIBER BUNDLES In this section we will introduce the interesting class o ibrations given by iber bundles. Fiber bundles lay an imortant role in many geometric contexts. For examle, the Grassmaniann

More information

Multiplicity of weak solutions for a class of nonuniformly elliptic equations of p-laplacian type

Multiplicity of weak solutions for a class of nonuniformly elliptic equations of p-laplacian type Nonlinear Analysis 7 29 536 546 www.elsevier.com/locate/na Multilicity of weak solutions for a class of nonuniformly ellitic equations of -Lalacian tye Hoang Quoc Toan, Quô c-anh Ngô Deartment of Mathematics,

More information

Sums of independent random variables

Sums of independent random variables 3 Sums of indeendent random variables This lecture collects a number of estimates for sums of indeendent random variables with values in a Banach sace E. We concentrate on sums of the form N γ nx n, where

More information

MATH 2710: NOTES FOR ANALYSIS

MATH 2710: NOTES FOR ANALYSIS MATH 270: NOTES FOR ANALYSIS The main ideas we will learn from analysis center around the idea of a limit. Limits occurs in several settings. We will start with finite limits of sequences, then cover infinite

More information

CHAPTER 5 TANGENT VECTORS

CHAPTER 5 TANGENT VECTORS CHAPTER 5 TANGENT VECTORS In R n tangent vectors can be viewed from two ersectives (1) they cature the infinitesimal movement along a ath, the direction, and () they oerate on functions by directional

More information

Elementary theory of L p spaces

Elementary theory of L p spaces CHAPTER 3 Elementary theory of L saces 3.1 Convexity. Jensen, Hölder, Minkowski inequality. We begin with two definitions. A set A R d is said to be convex if, for any x 0, x 1 2 A x = x 0 + (x 1 x 0 )

More information

SECTION 12: HOMOTOPY EXTENSION AND LIFTING PROPERTY

SECTION 12: HOMOTOPY EXTENSION AND LIFTING PROPERTY SECTION 12: HOMOTOPY EXTENSION AND LIFTING PROPERTY In the revious section, we exloited the interlay between (relative) CW comlexes and fibrations to construct the Postnikov and Whitehead towers aroximating

More information

Various Proofs for the Decrease Monotonicity of the Schatten s Power Norm, Various Families of R n Norms and Some Open Problems

Various Proofs for the Decrease Monotonicity of the Schatten s Power Norm, Various Families of R n Norms and Some Open Problems Int. J. Oen Problems Comt. Math., Vol. 3, No. 2, June 2010 ISSN 1998-6262; Coyright c ICSRS Publication, 2010 www.i-csrs.org Various Proofs for the Decrease Monotonicity of the Schatten s Power Norm, Various

More information

CHAPTER 2: SMOOTH MAPS. 1. Introduction In this chapter we introduce smooth maps between manifolds, and some important

CHAPTER 2: SMOOTH MAPS. 1. Introduction In this chapter we introduce smooth maps between manifolds, and some important CHAPTER 2: SMOOTH MAPS DAVID GLICKENSTEIN 1. Introduction In this chater we introduce smooth mas between manifolds, and some imortant concets. De nition 1. A function f : M! R k is a smooth function if

More information

arxiv:math/ v4 [math.gn] 25 Nov 2006

arxiv:math/ v4 [math.gn] 25 Nov 2006 arxiv:math/0607751v4 [math.gn] 25 Nov 2006 On the uniqueness of the coincidence index on orientable differentiable manifolds P. Christoher Staecker October 12, 2006 Abstract The fixed oint index of toological

More information

(Workshop on Harmonic Analysis on symmetric spaces I.S.I. Bangalore : 9th July 2004) B.Sury

(Workshop on Harmonic Analysis on symmetric spaces I.S.I. Bangalore : 9th July 2004) B.Sury Is e π 163 odd or even? (Worksho on Harmonic Analysis on symmetric saces I.S.I. Bangalore : 9th July 004) B.Sury e π 163 = 653741640768743.999999999999.... The object of this talk is to exlain this amazing

More information

δ(xy) = φ(x)δ(y) + y p δ(x). (1)

δ(xy) = φ(x)δ(y) + y p δ(x). (1) LECTURE II: δ-rings Fix a rime. In this lecture, we discuss some asects of the theory of δ-rings. This theory rovides a good language to talk about rings with a lift of Frobenius modulo. Some of the material

More information

Sets of Real Numbers

Sets of Real Numbers Chater 4 Sets of Real Numbers 4. The Integers Z and their Proerties In our revious discussions about sets and functions the set of integers Z served as a key examle. Its ubiquitousness comes from the fact

More information

Existence of solutions to a superlinear p-laplacian equation

Existence of solutions to a superlinear p-laplacian equation Electronic Journal of Differential Equations, Vol. 2001(2001), No. 66,. 1 6. ISSN: 1072-6691. URL: htt://ejde.math.swt.edu or htt://ejde.math.unt.edu ft ejde.math.swt.edu (login: ft) Existence of solutions

More information

CHAPTER 3: TANGENT SPACE

CHAPTER 3: TANGENT SPACE CHAPTER 3: TANGENT SPACE DAVID GLICKENSTEIN 1. Tangent sace We shall de ne the tangent sace in several ways. We rst try gluing them together. We know vectors in a Euclidean sace require a baseoint x 2

More information

MA3H1 TOPICS IN NUMBER THEORY PART III

MA3H1 TOPICS IN NUMBER THEORY PART III MA3H1 TOPICS IN NUMBER THEORY PART III SAMIR SIKSEK 1. Congruences Modulo m In quadratic recirocity we studied congruences of the form x 2 a (mod ). We now turn our attention to situations where is relaced

More information

Research Article An iterative Algorithm for Hemicontractive Mappings in Banach Spaces

Research Article An iterative Algorithm for Hemicontractive Mappings in Banach Spaces Abstract and Alied Analysis Volume 2012, Article ID 264103, 11 ages doi:10.1155/2012/264103 Research Article An iterative Algorithm for Hemicontractive Maings in Banach Saces Youli Yu, 1 Zhitao Wu, 2 and

More information

A review of the foundations of perfectoid spaces

A review of the foundations of perfectoid spaces A review of the foundations of erfectoid saces (Notes for some talks in the Fargues Fontaine curve study grou at Harvard, Oct./Nov. 2017) Matthew Morrow Abstract We give a reasonably detailed overview

More information

Commutators on l. D. Dosev and W. B. Johnson

Commutators on l. D. Dosev and W. B. Johnson Submitted exclusively to the London Mathematical Society doi:10.1112/0000/000000 Commutators on l D. Dosev and W. B. Johnson Abstract The oerators on l which are commutators are those not of the form λi

More information

MATH 248A. THE CHARACTER GROUP OF Q. 1. Introduction

MATH 248A. THE CHARACTER GROUP OF Q. 1. Introduction MATH 248A. THE CHARACTER GROUP OF Q KEITH CONRAD 1. Introduction The characters of a finite abelian grou G are the homomorhisms from G to the unit circle S 1 = {z C : z = 1}. Two characters can be multilied

More information

Advanced Calculus I. Part A, for both Section 200 and Section 501

Advanced Calculus I. Part A, for both Section 200 and Section 501 Sring 2 Instructions Please write your solutions on your own aer. These roblems should be treated as essay questions. A roblem that says give an examle requires a suorting exlanation. In all roblems, you

More information

Sharp gradient estimate and spectral rigidity for p-laplacian

Sharp gradient estimate and spectral rigidity for p-laplacian Shar gradient estimate and sectral rigidity for -Lalacian Chiung-Jue Anna Sung and Jiaing Wang To aear in ath. Research Letters. Abstract We derive a shar gradient estimate for ositive eigenfunctions of

More information

The Fekete Szegő theorem with splitting conditions: Part I

The Fekete Szegő theorem with splitting conditions: Part I ACTA ARITHMETICA XCIII.2 (2000) The Fekete Szegő theorem with slitting conditions: Part I by Robert Rumely (Athens, GA) A classical theorem of Fekete and Szegő [4] says that if E is a comact set in the

More information

On the minimax inequality and its application to existence of three solutions for elliptic equations with Dirichlet boundary condition

On the minimax inequality and its application to existence of three solutions for elliptic equations with Dirichlet boundary condition ISSN 1 746-7233 England UK World Journal of Modelling and Simulation Vol. 3 (2007) No. 2. 83-89 On the minimax inequality and its alication to existence of three solutions for ellitic equations with Dirichlet

More information

Uniform Law on the Unit Sphere of a Banach Space

Uniform Law on the Unit Sphere of a Banach Space Uniform Law on the Unit Shere of a Banach Sace by Bernard Beauzamy Société de Calcul Mathématique SA Faubourg Saint Honoré 75008 Paris France Setember 008 Abstract We investigate the construction of a

More information

1 Extremum Estimators

1 Extremum Estimators FINC 9311-21 Financial Econometrics Handout Jialin Yu 1 Extremum Estimators Let θ 0 be a vector of k 1 unknown arameters. Extremum estimators: estimators obtained by maximizing or minimizing some objective

More information

3 Properties of Dedekind domains

3 Properties of Dedekind domains 18.785 Number theory I Fall 2016 Lecture #3 09/15/2016 3 Proerties of Dedekind domains In the revious lecture we defined a Dedekind domain as a noetherian domain A that satisfies either of the following

More information

Positive decomposition of transfer functions with multiple poles

Positive decomposition of transfer functions with multiple poles Positive decomosition of transfer functions with multile oles Béla Nagy 1, Máté Matolcsi 2, and Márta Szilvási 1 Deartment of Analysis, Technical University of Budaest (BME), H-1111, Budaest, Egry J. u.

More information

Topic 7: Using identity types

Topic 7: Using identity types Toic 7: Using identity tyes June 10, 2014 Now we would like to learn how to use identity tyes and how to do some actual mathematics with them. By now we have essentially introduced all inference rules

More information

STRONG TYPE INEQUALITIES AND AN ALMOST-ORTHOGONALITY PRINCIPLE FOR FAMILIES OF MAXIMAL OPERATORS ALONG DIRECTIONS IN R 2

STRONG TYPE INEQUALITIES AND AN ALMOST-ORTHOGONALITY PRINCIPLE FOR FAMILIES OF MAXIMAL OPERATORS ALONG DIRECTIONS IN R 2 STRONG TYPE INEQUALITIES AND AN ALMOST-ORTHOGONALITY PRINCIPLE FOR FAMILIES OF MAXIMAL OPERATORS ALONG DIRECTIONS IN R 2 ANGELES ALFONSECA Abstract In this aer we rove an almost-orthogonality rincile for

More information

Math 4400/6400 Homework #8 solutions. 1. Let P be an odd integer (not necessarily prime). Show that modulo 2,

Math 4400/6400 Homework #8 solutions. 1. Let P be an odd integer (not necessarily prime). Show that modulo 2, MATH 4400 roblems. Math 4400/6400 Homework # solutions 1. Let P be an odd integer not necessarily rime. Show that modulo, { P 1 0 if P 1, 7 mod, 1 if P 3, mod. Proof. Suose that P 1 mod. Then we can write

More information

THE CHARACTER GROUP OF Q

THE CHARACTER GROUP OF Q THE CHARACTER GROUP OF Q KEITH CONRAD 1. Introduction The characters of a finite abelian grou G are the homomorhisms from G to the unit circle S 1 = {z C : z = 1}. Two characters can be multilied ointwise

More information

Approximating l 2 -Betti numbers of an amenable covering by ordinary Betti numbers

Approximating l 2 -Betti numbers of an amenable covering by ordinary Betti numbers Comment. Math. Helv. 74 (1999) 150 155 0010-2571/99/010150-6 $ 1.50+0.20/0 c 1999 Birkhäuser Verlag, Basel Commentarii Mathematici Helvetici Aroximating l 2 -Betti numbers of an amenable covering by ordinary

More information

p-adic Measures and Bernoulli Numbers

p-adic Measures and Bernoulli Numbers -Adic Measures and Bernoulli Numbers Adam Bowers Introduction The constants B k in the Taylor series exansion t e t = t k B k k! k=0 are known as the Bernoulli numbers. The first few are,, 6, 0, 30, 0,

More information

MTH 3102 Complex Variables Practice Exam 1 Feb. 10, 2017

MTH 3102 Complex Variables Practice Exam 1 Feb. 10, 2017 Name (Last name, First name): MTH 310 Comlex Variables Practice Exam 1 Feb. 10, 017 Exam Instructions: You have 1 hour & 10 minutes to comlete the exam. There are a total of 7 roblems. You must show your

More information

Real Analysis 1 Fall Homework 3. a n.

Real Analysis 1 Fall Homework 3. a n. eal Analysis Fall 06 Homework 3. Let and consider the measure sace N, P, µ, where µ is counting measure. That is, if N, then µ equals the number of elements in if is finite; µ = otherwise. One usually

More information

Numerical Linear Algebra

Numerical Linear Algebra Numerical Linear Algebra Numerous alications in statistics, articularly in the fitting of linear models. Notation and conventions: Elements of a matrix A are denoted by a ij, where i indexes the rows and

More information

Complex Analysis Homework 1

Complex Analysis Homework 1 Comlex Analysis Homework 1 Steve Clanton Sarah Crimi January 27, 2009 Problem Claim. If two integers can be exressed as the sum of two squares, then so can their roduct. Proof. Call the two squares that

More information

Math 751 Lecture Notes Week 3

Math 751 Lecture Notes Week 3 Math 751 Lecture Notes Week 3 Setember 25, 2014 1 Fundamental grou of a circle Theorem 1. Let φ : Z π 1 (S 1 ) be given by n [ω n ], where ω n : I S 1 R 2 is the loo ω n (s) = (cos(2πns), sin(2πns)). Then

More information

1. INTRODUCTION. Fn 2 = F j F j+1 (1.1)

1. INTRODUCTION. Fn 2 = F j F j+1 (1.1) CERTAIN CLASSES OF FINITE SUMS THAT INVOLVE GENERALIZED FIBONACCI AND LUCAS NUMBERS The beautiful identity R.S. Melham Deartment of Mathematical Sciences, University of Technology, Sydney PO Box 23, Broadway,

More information

B8.1 Martingales Through Measure Theory. Concept of independence

B8.1 Martingales Through Measure Theory. Concept of independence B8.1 Martingales Through Measure Theory Concet of indeendence Motivated by the notion of indeendent events in relims robability, we have generalized the concet of indeendence to families of σ-algebras.

More information

Chater Matrix Norms and Singular Value Decomosition Introduction In this lecture, we introduce the notion of a norm for matrices The singular value de

Chater Matrix Norms and Singular Value Decomosition Introduction In this lecture, we introduce the notion of a norm for matrices The singular value de Lectures on Dynamic Systems and Control Mohammed Dahleh Munther A Dahleh George Verghese Deartment of Electrical Engineering and Comuter Science Massachuasetts Institute of Technology c Chater Matrix Norms

More information

DIRICHLET S THEOREM ON PRIMES IN ARITHMETIC PROGRESSIONS. 1. Introduction

DIRICHLET S THEOREM ON PRIMES IN ARITHMETIC PROGRESSIONS. 1. Introduction DIRICHLET S THEOREM ON PRIMES IN ARITHMETIC PROGRESSIONS INNA ZAKHAREVICH. Introduction It is a well-known fact that there are infinitely many rimes. However, it is less clear how the rimes are distributed

More information

Analysis of some entrance probabilities for killed birth-death processes

Analysis of some entrance probabilities for killed birth-death processes Analysis of some entrance robabilities for killed birth-death rocesses Master s Thesis O.J.G. van der Velde Suervisor: Dr. F.M. Sieksma July 5, 207 Mathematical Institute, Leiden University Contents Introduction

More information

Showing How to Imply Proving The Riemann Hypothesis

Showing How to Imply Proving The Riemann Hypothesis EUROPEAN JOURNAL OF MATHEMATICAL SCIENCES Vol., No., 3, 6-39 ISSN 47-55 www.ejmathsci.com Showing How to Imly Proving The Riemann Hyothesis Hao-cong Wu A Member of China Maths On Line, P.R. China Abstract.

More information

Best approximation by linear combinations of characteristic functions of half-spaces

Best approximation by linear combinations of characteristic functions of half-spaces Best aroximation by linear combinations of characteristic functions of half-saces Paul C. Kainen Deartment of Mathematics Georgetown University Washington, D.C. 20057-1233, USA Věra Kůrková Institute of

More information

GENERICITY OF INFINITE-ORDER ELEMENTS IN HYPERBOLIC GROUPS

GENERICITY OF INFINITE-ORDER ELEMENTS IN HYPERBOLIC GROUPS GENERICITY OF INFINITE-ORDER ELEMENTS IN HYPERBOLIC GROUPS PALLAVI DANI 1. Introduction Let Γ be a finitely generated grou and let S be a finite set of generators for Γ. This determines a word metric on

More information

Bergman kernels on punctured Riemann surfaces

Bergman kernels on punctured Riemann surfaces Bergman kernels on unctured Riemann surfaces Hugues AUVRAY and Xiaonan MA and George MARINESCU Aril 1, 016 Abstract In this aer we consider a unctured Riemann surface endowed with a Hermitian metric which

More information

MAS 4203 Number Theory. M. Yotov

MAS 4203 Number Theory. M. Yotov MAS 4203 Number Theory M. Yotov June 15, 2017 These Notes were comiled by the author with the intent to be used by his students as a main text for the course MAS 4203 Number Theory taught at the Deartment

More information

Applications to stochastic PDE

Applications to stochastic PDE 15 Alications to stochastic PE In this final lecture we resent some alications of the theory develoed in this course to stochastic artial differential equations. We concentrate on two secific examles:

More information

Linear Fractional Composition Operators over the Half-plane

Linear Fractional Composition Operators over the Half-plane Linear Fractional Comosition Oerators over the Half-lane Boo Rim Choe, Hyungwoon Koo and Wayne Smith Abstract. In the setting of the Hardy saces or the standard weighted Bergman saces over the unit ball

More information

On the Toppling of a Sand Pile

On the Toppling of a Sand Pile Discrete Mathematics and Theoretical Comuter Science Proceedings AA (DM-CCG), 2001, 275 286 On the Toling of a Sand Pile Jean-Christohe Novelli 1 and Dominique Rossin 2 1 CNRS, LIFL, Bâtiment M3, Université

More information

Chapter 2 Arithmetic Functions and Dirichlet Series.

Chapter 2 Arithmetic Functions and Dirichlet Series. Chater 2 Arithmetic Functions and Dirichlet Series. [4 lectures] Definition 2.1 An arithmetic function is any function f : N C. Examles 1) The divisor function d (n) (often denoted τ (n)) is the number

More information

HARMONIC EXTENSION ON NETWORKS

HARMONIC EXTENSION ON NETWORKS HARMONIC EXTENSION ON NETWORKS MING X. LI Abstract. We study the imlication of geometric roerties of the grah of a network in the extendibility of all γ-harmonic germs at an interior node. We rove that

More information

Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions

Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions Solving Suort Vector Machines in Reroducing Kernel Banach Saces with Positive Definite Functions Gregory E. Fasshauer a, Fred J. Hickernell a, Qi Ye b, a Deartment of Alied Mathematics, Illinois Institute

More information

Products of Composition, Multiplication and Differentiation between Hardy Spaces and Weighted Growth Spaces of the Upper-Half Plane

Products of Composition, Multiplication and Differentiation between Hardy Spaces and Weighted Growth Spaces of the Upper-Half Plane Global Journal of Pure and Alied Mathematics. ISSN 0973-768 Volume 3, Number 9 (207),. 6303-636 Research India Publications htt://www.riublication.com Products of Comosition, Multilication and Differentiation

More information

On a class of Rellich inequalities

On a class of Rellich inequalities On a class of Rellich inequalities G. Barbatis A. Tertikas Dedicated to Professor E.B. Davies on the occasion of his 60th birthday Abstract We rove Rellich and imroved Rellich inequalities that involve

More information

LINEAR FRACTIONAL COMPOSITION OPERATORS OVER THE HALF-PLANE

LINEAR FRACTIONAL COMPOSITION OPERATORS OVER THE HALF-PLANE LINEAR FRACTIONAL COMPOSITION OPERATORS OVER THE HALF-PLANE BOO RIM CHOE, HYUNGWOON KOO, AND WAYNE SMITH Abstract. In the setting of the Hardy saces or the standard weighted Bergman saces over the unit

More information

MASS ENDOMORPHISM, SURGERY AND PERTURBATIONS

MASS ENDOMORPHISM, SURGERY AND PERTURBATIONS MASS ENDOMORPHISM, SURGERY AND PERTURBATIONS BERND AMMANN, MATTIAS DAHL, ANDREAS HERMANN, AND EMMANUEL HUMBERT Abstract. We rove that the mass endomorhism associated to the Dirac oerator on a Riemannian

More information

Haar type and Carleson Constants

Haar type and Carleson Constants ariv:0902.955v [math.fa] Feb 2009 Haar tye and Carleson Constants Stefan Geiss October 30, 208 Abstract Paul F.. Müller For a collection E of dyadic intervals, a Banach sace, and,2] we assume the uer l

More information

Quaternionic Projective Space (Lecture 34)

Quaternionic Projective Space (Lecture 34) Quaternionic Projective Sace (Lecture 34) July 11, 2008 The three-shere S 3 can be identified with SU(2), and therefore has the structure of a toological grou. In this lecture, we will address the question

More information

GENERALIZED NORMS INEQUALITIES FOR ABSOLUTE VALUE OPERATORS

GENERALIZED NORMS INEQUALITIES FOR ABSOLUTE VALUE OPERATORS International Journal of Analysis Alications ISSN 9-8639 Volume 5, Number (04), -9 htt://www.etamaths.com GENERALIZED NORMS INEQUALITIES FOR ABSOLUTE VALUE OPERATORS ILYAS ALI, HU YANG, ABDUL SHAKOOR Abstract.

More information

ALGEBRAIC TOPOLOGY MASTERMATH (FALL 2014) Written exam, 21/01/2015, 3 hours Outline of solutions

ALGEBRAIC TOPOLOGY MASTERMATH (FALL 2014) Written exam, 21/01/2015, 3 hours Outline of solutions ALGERAIC TOPOLOGY MASTERMATH FALL 014) Written exam, 1/01/015, 3 hours Outline of solutions Exercise 1. i) There are various definitions in the literature. ased on the discussion on. 5 of Lecture 3, as

More information

Solution sheet ξi ξ < ξ i+1 0 otherwise ξ ξ i N i,p 1 (ξ) + where 0 0

Solution sheet ξi ξ < ξ i+1 0 otherwise ξ ξ i N i,p 1 (ξ) + where 0 0 Advanced Finite Elements MA5337 - WS7/8 Solution sheet This exercise sheets deals with B-slines and NURBS, which are the basis of isogeometric analysis as they will later relace the olynomial ansatz-functions

More information

Brownian Motion and Random Prime Factorization

Brownian Motion and Random Prime Factorization Brownian Motion and Random Prime Factorization Kendrick Tang June 4, 202 Contents Introduction 2 2 Brownian Motion 2 2. Develoing Brownian Motion.................... 2 2.. Measure Saces and Borel Sigma-Algebras.........

More information

Mobius Functions, Legendre Symbols, and Discriminants

Mobius Functions, Legendre Symbols, and Discriminants Mobius Functions, Legendre Symbols, and Discriminants 1 Introduction Zev Chonoles, Erick Knight, Tim Kunisky Over the integers, there are two key number-theoretic functions that take on values of 1, 1,

More information

Stone Duality for Skew Boolean Algebras with Intersections

Stone Duality for Skew Boolean Algebras with Intersections Stone Duality for Skew Boolean Algebras with Intersections Andrej Bauer Faculty of Mathematics and Physics University of Ljubljana Andrej.Bauer@andrej.com Karin Cvetko-Vah Faculty of Mathematics and Physics

More information

Correspondence Between Fractal-Wavelet. Transforms and Iterated Function Systems. With Grey Level Maps. F. Mendivil and E.R.

Correspondence Between Fractal-Wavelet. Transforms and Iterated Function Systems. With Grey Level Maps. F. Mendivil and E.R. 1 Corresondence Between Fractal-Wavelet Transforms and Iterated Function Systems With Grey Level Mas F. Mendivil and E.R. Vrscay Deartment of Alied Mathematics Faculty of Mathematics University of Waterloo

More information

Mollifiers and its applications in L p (Ω) space

Mollifiers and its applications in L p (Ω) space Mollifiers and its alications in L () sace MA Shiqi Deartment of Mathematics, Hong Kong Batist University November 19, 2016 Abstract This note gives definition of mollifier and mollification. We illustrate

More information

RIEMANN-STIELTJES OPERATORS BETWEEN WEIGHTED BERGMAN SPACES

RIEMANN-STIELTJES OPERATORS BETWEEN WEIGHTED BERGMAN SPACES RIEMANN-STIELTJES OPERATORS BETWEEN WEIGHTED BERGMAN SPACES JIE XIAO This aer is dedicated to the memory of Nikolaos Danikas 1947-2004) Abstract. This note comletely describes the bounded or comact Riemann-

More information

LEIBNIZ SEMINORMS IN PROBABILITY SPACES

LEIBNIZ SEMINORMS IN PROBABILITY SPACES LEIBNIZ SEMINORMS IN PROBABILITY SPACES ÁDÁM BESENYEI AND ZOLTÁN LÉKA Abstract. In this aer we study the (strong) Leibniz roerty of centered moments of bounded random variables. We shall answer a question

More information

CONGRUENCE PROPERTIES OF TAYLOR COEFFICIENTS OF MODULAR FORMS

CONGRUENCE PROPERTIES OF TAYLOR COEFFICIENTS OF MODULAR FORMS CONGRUENCE PROPERTIES OF TAYLOR COEFFICIENTS OF MODULAR FORMS HANNAH LARSON AND GEOFFREY SMITH Abstract. In their work, Serre and Swinnerton-Dyer study the congruence roerties of the Fourier coefficients

More information

HENSEL S LEMMA KEITH CONRAD

HENSEL S LEMMA KEITH CONRAD HENSEL S LEMMA KEITH CONRAD 1. Introduction In the -adic integers, congruences are aroximations: for a and b in Z, a b mod n is the same as a b 1/ n. Turning information modulo one ower of into similar

More information

2 Asymptotic density and Dirichlet density

2 Asymptotic density and Dirichlet density 8.785: Analytic Number Theory, MIT, sring 2007 (K.S. Kedlaya) Primes in arithmetic rogressions In this unit, we first rove Dirichlet s theorem on rimes in arithmetic rogressions. We then rove the rime

More information

Lane-Emden problems: symmetries of low energy solutions

Lane-Emden problems: symmetries of low energy solutions Lane-Emden roblems: symmetries of low energy solutions Ch. Grumiau Institut de Mathématique Université de Mons Mons, Belgium June 2012 Flagstaff, Arizona (USA) Joint work with M. Grossi and F. Pacella

More information

#A8 INTEGERS 12 (2012) PARTITION OF AN INTEGER INTO DISTINCT BOUNDED PARTS, IDENTITIES AND BOUNDS

#A8 INTEGERS 12 (2012) PARTITION OF AN INTEGER INTO DISTINCT BOUNDED PARTS, IDENTITIES AND BOUNDS #A8 INTEGERS 1 (01) PARTITION OF AN INTEGER INTO DISTINCT BOUNDED PARTS, IDENTITIES AND BOUNDS Mohammadreza Bidar 1 Deartment of Mathematics, Sharif University of Technology, Tehran, Iran mrebidar@gmailcom

More information

Elliptic Curves Spring 2015 Problem Set #1 Due: 02/13/2015

Elliptic Curves Spring 2015 Problem Set #1 Due: 02/13/2015 18.783 Ellitic Curves Sring 2015 Problem Set #1 Due: 02/13/2015 Descrition These roblems are related to the material covered in Lectures 1-2. Some of them require the use of Sage, and you will need to

More information

Spectral Properties of Schrödinger-type Operators and Large-time Behavior of the Solutions to the Corresponding Wave Equation

Spectral Properties of Schrödinger-type Operators and Large-time Behavior of the Solutions to the Corresponding Wave Equation Math. Model. Nat. Phenom. Vol. 8, No., 23,. 27 24 DOI:.5/mmn/2386 Sectral Proerties of Schrödinger-tye Oerators and Large-time Behavior of the Solutions to the Corresonding Wave Equation A.G. Ramm Deartment

More information

IMPROVED BOUNDS IN THE SCALED ENFLO TYPE INEQUALITY FOR BANACH SPACES

IMPROVED BOUNDS IN THE SCALED ENFLO TYPE INEQUALITY FOR BANACH SPACES IMPROVED BOUNDS IN THE SCALED ENFLO TYPE INEQUALITY FOR BANACH SPACES OHAD GILADI AND ASSAF NAOR Abstract. It is shown that if (, ) is a Banach sace with Rademacher tye 1 then for every n N there exists

More information

ON THE NORM OF AN IDEMPOTENT SCHUR MULTIPLIER ON THE SCHATTEN CLASS

ON THE NORM OF AN IDEMPOTENT SCHUR MULTIPLIER ON THE SCHATTEN CLASS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 000-9939XX)0000-0 ON THE NORM OF AN IDEMPOTENT SCHUR MULTIPLIER ON THE SCHATTEN CLASS WILLIAM D. BANKS AND ASMA HARCHARRAS

More information

Journal of Mathematical Analysis and Applications

Journal of Mathematical Analysis and Applications J. Math. Anal. Al. 44 (3) 3 38 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Analysis and Alications journal homeage: www.elsevier.com/locate/jmaa Maximal surface area of a

More information

Extremal Polynomials with Varying Measures

Extremal Polynomials with Varying Measures International Mathematical Forum, 2, 2007, no. 39, 1927-1934 Extremal Polynomials with Varying Measures Rabah Khaldi Deartment of Mathematics, Annaba University B.P. 12, 23000 Annaba, Algeria rkhadi@yahoo.fr

More information

ESTIMATES FOR THE RESOLVENT KERNEL OF THE LAPLACIAN ON P.C.F. SELF SIMILAR FRACTALS AND BLOWUPS.

ESTIMATES FOR THE RESOLVENT KERNEL OF THE LAPLACIAN ON P.C.F. SELF SIMILAR FRACTALS AND BLOWUPS. ESTIMATES FOR THE RESOLVENT KERNEL OF THE LAPLACIAN ON PCF SELF SIMILAR FRACTALS AND BLOWUPS LUKE G ROGERS 1 Introduction One of the main features of analysis on ost-critically finite self-similar cfss)

More information

HAUSDORFF MEASURE OF p-cantor SETS

HAUSDORFF MEASURE OF p-cantor SETS Real Analysis Exchange Vol. 302), 2004/2005,. 20 C. Cabrelli, U. Molter, Deartamento de Matemática, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires and CONICET, Pabellón I - Ciudad Universitaria,

More information

Weil s Conjecture on Tamagawa Numbers (Lecture 1)

Weil s Conjecture on Tamagawa Numbers (Lecture 1) Weil s Conjecture on Tamagawa Numbers (Lecture ) January 30, 204 Let R be a commutative ring and let V be an R-module. A quadratic form on V is a ma q : V R satisfying the following conditions: (a) The

More information

Additive results for the generalized Drazin inverse in a Banach algebra

Additive results for the generalized Drazin inverse in a Banach algebra Additive results for the generalized Drazin inverse in a Banach algebra Dragana S. Cvetković-Ilić Dragan S. Djordjević and Yimin Wei* Abstract In this aer we investigate additive roerties of the generalized

More information

BEST CONSTANT IN POINCARÉ INEQUALITIES WITH TRACES: A FREE DISCONTINUITY APPROACH

BEST CONSTANT IN POINCARÉ INEQUALITIES WITH TRACES: A FREE DISCONTINUITY APPROACH BEST CONSTANT IN POINCARÉ INEQUALITIES WITH TRACES: A FREE DISCONTINUITY APPROACH DORIN BUCUR, ALESSANDRO GIACOMINI, AND PAOLA TREBESCHI Abstract For Ω R N oen bounded and with a Lischitz boundary, and

More information

8.7 Associated and Non-associated Flow Rules

8.7 Associated and Non-associated Flow Rules 8.7 Associated and Non-associated Flow Rules Recall the Levy-Mises flow rule, Eqn. 8.4., d ds (8.7.) The lastic multilier can be determined from the hardening rule. Given the hardening rule one can more

More information

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes Infinite Series 6.2 Introduction We extend the concet of a finite series, met in Section 6., to the situation in which the number of terms increase without bound. We define what is meant by an infinite

More information

An Inverse Problem for Two Spectra of Complex Finite Jacobi Matrices

An Inverse Problem for Two Spectra of Complex Finite Jacobi Matrices Coyright 202 Tech Science Press CMES, vol.86, no.4,.30-39, 202 An Inverse Problem for Two Sectra of Comlex Finite Jacobi Matrices Gusein Sh. Guseinov Abstract: This aer deals with the inverse sectral roblem

More information

The Essential Norm of Operators on the Bergman Space

The Essential Norm of Operators on the Bergman Space The Essential Norm of Oerators on the Bergman Sace Brett D. Wick Georgia Institute of Technology School of Mathematics ANR FRAB Meeting 2012 Université Paul Sabatier Toulouse May 26, 2012 B. D. Wick (Georgia

More information