Chapter 1 Holomorphic and real analytic calculus

Size: px
Start display at page:

Download "Chapter 1 Holomorphic and real analytic calculus"

Transcription

1 This version: 28/02/204 Chapter Holomorphic and real analytic calculus In this chapter we develop basic analysis in the holomorphic and real analytic settings. We do this, for the most part, simultaneously, and as a result some of the ways we do things are a little unconventional, especially when compared to the standard holomorphic treatments in, for example, texts like [Fritzsche and Grauert 2002, Gunning and Rossi 965, Hörmander 973, Krantz 992, Laurent-Thiébaut 20, Range 986, Taylor 2002]. We assume, of course, a thorough acquaintance with real analysis such as one might find in [Abraham, Marsden, and Ratiu 988, Chapter 2] and single variable complex analysis such as one might find in [Conway 978].. Holomorphic and real analytic functions Holomorphic and real analytic functions are defined as being locally prescribed by a convergent power series. We, therefore, begin by describing formal (i.e., not depending on any sort of convergence) power series. We then indicate how the usual notion of a Taylor series gives rise to a formal power series, and we prove Borel s Theorem which says that, in the real case, all formal power series arise as Taylor series. This leads us to consider convergence of power series, and then finally to consider holomorphic and real analytic functions. Much of what we say here is a fleshing out of some material from Chapter 2 of [Krantz and Parks 2002], adapted to cover both the holomorphic and real analytic cases simultaneously... F n Because much of what we say in this chapter applies simultaneously to the real and complex case, we shall adopt the convention of using the symbol F when we wish to refer to one of R or C. We shall use x to mean the absolute value (when F = R) or the complex modulus (when F = C). In like manner, we shall denote by x the complex conjugate of x if F = C and x = x if F = R. We use x, y = n x j ȳ j j=

2 2 Holomorphic and real analytic calculus 28/02/204 to denote the standard inner product and x = ( n x j 2) /2 j= to denote the standard norm on F n in both cases. We shall need notions of balls and disks in F n. Balls are defined in the usual way. Given x 0 F n and r R >0, the open ball with radius r and centre x 0 is with B n (r, x 0 ) = {x F n x x 0 < r}, B n (r, x 0 ) = {x F n x x 0 r} similarly denoting the closed ball. For x 0 F n and for r R n >0, denote D n (r, x 0 ) = {x F n x j x 0j < r j, j {,..., n}}, which we call the open polydisk of radius r and centre x 0. The closure of the open polydisk, interestingly called the closed polydisk, is denoted by D n (r, x 0 ) = {x F n x j x 0j r j, j {,..., n}}. If r R >0 then we denote ˆr = (r,..., r) R n >0 so that Dn (ˆr, x 0 ) and D n (ˆr, x 0 ) denote polydisks whose radii in all components are equal. If U F n is open, if A U, and if f : U F m is continuous, we denote f A = sup{ f(x) x A}. (.) A domain in F n is a nonempty connected open set. A map f : U F m from an open subset U F n to F m will be of class C r, r Z 0 { }, if it is of class C r in the real variable sense, noting that C n R 2n...2 Multi-index and partial derivative notation A multi-index is an element of Z n 0. For a multi-index I we shall write I = (i,..., i n ). We introduce the following notation:. I = i + + i n ; 2. I! = i! i n!; 3. x I = x i xi n n for x = (x,..., x n ) F n. Note that the elements e,..., e n of the standard basis for F n are in Z n, so we shall 0 think of these vectors as elements of Z n when it is convenient to do so. 0 The following property of the set of multi-indices will often be useful.

3 28/02/204. Holomorphic and real analytic functions 3.. Lemma (Cardinality of sets of multi-indices) For n Z >0 and m Z 0, ( ) n + m card{i Z n 0 I = m} =. n Proof We begin with an elementary lemma. m ( ) ( ) n + j n + m Sublemma For n Z >0 and m Z 0, =. n n Proof Recall that for j, k Z 0 with j k we have ( ) k = j k! j!(k j)!. We claim that if j, k Z >0 satisfy j k then ( ) ( ) ( ) k k k + + =. j j j This is a direct computation: k! j!(k j)! + k! (j )!(k j + )! = (k j + )k! (k j + )j!(k j)! + jk! j(j )!(k j + )! (k j + )k! + jk! = j!(k j + )! = (k + )k! j!((k + ) j)! = (k + )! j!((k + ) j)! = ( ) k +. j Now we have m ( ) n + j m ( ) n + j m ( ) n + j = + = + n n n j= j= ( ) ( ) ( ) n + m n n + m = + =, n n n m ( ) n + j j= n as desired. We now prove the lemma by induction on n. For n = we have ( ) m card{j Z 0 j = m} = =, 0 which gives the conclusions of the lemma in this case. Now suppose that the lemma holds for n {,..., k}. If I Z k+ 0 satisfies I = m, then write I = (i,..., i k, i k+ ) and take

4 4 Holomorphic and real analytic calculus 28/02/204 I = (i,..., i k ). If i k+ = j {0,,..., m} then I = m j. Thus m card{i Z k+ 0 I = m} = card{i Z n 0 I = m j} m ( ) k + m j + m ( k + j ) = = k k j =0 ( ) ( ) k + m (k + ) + m = =, k (k + ) using the sublemma in the penultimate step. This proves the lemma by induction. Multi-index notation is also convenient for representing partial derivatives of multivariable functions. Let us start from the ground up. Let (e,..., e n ) be the standard basis for F n and denote by (α,..., α n ) the dual basis for (F n ). Let U F n and let f : U F. The F-derivative of f at x 0 U is the unique F-linear map D f (x 0 ) L(F n ; F) for which f (x) f (x 0 ) D f (x 0 )(x x 0 ) lim = 0, x x 0 x x 0 provided that such a linear map indeed exists. Higher F-derivatives are defined recursively. The kth F-derivative of f at x 0 we denote by D k f (x 0 ), noting that D k f (x 0 ) L k sym(f n ; F) is a symmetric k-multilinear map [see Abraham, Marsden, and Ratiu 988, Proposition 2.4.4]. If D k f (x) exists for every x U and if the map x D k f (x) is continuous, f is of F-class C k or k-times continuously F-differentiable. This slightly awkward and nonstandard notation will be short-lived, and is a consequence of our trying to simultaneously develop the real and complex theories. We denote by L k (F n ; F) the set of k-multilinear maps with its usual basis {(α j α jk ) j,..., j k {,..., n}}. Thinking of D f (x 0 ) as a multilinear map, forgetting about its being symmetric, we write n k f D k f (x 0 ) = (x 0 )α j α jk. x j x jk j,...,j k = Let us introduce another way of writing the F-derivative. For j,..., j k {,..., n}, define I Z n by letting i 0 m Z 0 be the number of times m {,..., n} appears in the list of numbers j,..., j k. We recall from Section F.2.3 the product between A L k sym(f n ; F) and B L l sym(f n ; F) given by (k + l)! A B = Sym k!l! k+l (A B), where, for C L m sym(f n ; F), Sym m (C)(v,..., v m ) = C(v σ(),..., v σ(m) ). m! σ S m

5 28/02/204. Holomorphic and real analytic functions 5 Then, as discussed in Section F.2.4, we can also write D k f (x 0 ) = i,...,i n Z 0 i + +i n =k For I = (i,..., i n ) Z n, we write 0 i! i n! D I f (x 0 ) = We may also write this in a different way: k f x i (x 0 )α i xi n αi n n n I f x i (x 0 ). xi n n D I f (x 0 ) = I f (x 0 ). x x x n x n } {{ }} {{ } i times i n times Indeed, because of symmetry of the F-derivative, for any collection of numbers j,..., j I {,..., n} for which k occurs i k times for each k {,..., n}, we have In any case, we can also write D k f (x 0 ) = D I f (x 0 ) = I =k I f x j x j I (x 0 ). I! DI f (x 0 )α i αi n n We shall freely interchange the various partial F-derivative notations discussed above, depending on what we are doing...3 Formal power series To get started with our discussion of holomorphicity and analyticity, it is useful to first engage in a little algebra so that we can write power series without having to worry about convergence...2 Definition (Formal power series with finite indeterminates) Let ξ = {ξ,..., ξ n } be a finite set and denote by Z ξ the set of maps from ξ into Z 0 0. The set of F-formal power series with indeterminates X is the set of maps from Z ξ to F, and is denoted by 0 F[[ξ]]. There is a concrete way to represent Z ξ 0. Given φ: ξ Z 0 we note that φ(ξ) is uniquely determined by the n-tuple (φ(ξ ),..., φ(ξ n )) Z n 0.

6 6 Holomorphic and real analytic calculus 28/02/204 Such an n-tuple is nothing but an n-multi-index. Therefore, we shall identify Z ξ with 0 the set Z n of multi-indices. 0 Therefore, rather than writing α(φ) for α F[[ξ]] and φ Z n, we shall write α(i) 0 for I Z n. Using this notation, the F-algebra operations are defined by 0 (α + β)(i) = α(i) + β(i), (aα)(i) = a(α(i)), (α β)(i) = α(i )β(i 2 ), I,I 2 Z n 0 I +I 2 =I for a F and α, β F[[ξ,..., ξ n ]]. We shall identify the indeterminate ξ j, j {,..., n}, with the element α j of F[[ξ]] defined by, I = e j, α j (I) = 0, otherwise, where (e,..., e n ) is the standard basis for F n, thought of as an element of Z n. One can 0 readily verify that, using this identification, the k-fold product of ξ j is ξ k j (I) =, I = ke j, 0, otherwise. Therefore, it is straightforward to see that if α F[[ξ]] then α = α(i)ξ i ξi n n. (.2) I=(i,...,i n ) Z n 0 Adopting the notational convention ξ I = ξ i ξi n n, the preceding formula admits the compact representation α = α(i)ξ I. We can describe explicitly the units in the ring F[[ξ]], and give a formula for the inverse for these units...3 Proposition (Units in F[[ξ]]) A member α F[[ξ]] is a unit if and only if α(0) 0. Moreover, if α is a unit, then we have α (I) = α(0) ( α(i) α(0) k=0 for all I Z n 0. Proof First of all, suppose that α is a unit. Thus there exists β F[[ξ]] such that α β =. In particular, this means that α(0)β(0) =, and so α(0) is a unit in F, i.e., is nonzero. Next suppose that α(0) 0. To prove that α is a unit we use the following lemma. ) k

7 28/02/204. Holomorphic and real analytic functions 7 Lemma If β F[[ξ]] satisfies β(0) = 0 then ( β) is a unit in F[[ξ]] and for all I Z n 0. ( β) (I) = β k (I) Proof First of all, we claim that k=0 βk is a well-defined element of F[[ξ]]. We claim that β k (I) = 0 whenever I {0,,..., k}. We can prove this by induction on k. For k = 0 this follows from the assumption that β(0) = 0. So suppose that β k (I) = 0 for I {0,,..., k}, whenever k {0,,..., r}. Then, for I Z n satisfying I {0,,..., r + }, we have 0 β r+ (I) = (β β r )(I) = β(i )β r (I 2 ) k=0 = β(0)β r (I) + I,I 2 Z n 0 I +I 2 =I β(i )β r (I I ) = 0, I Z n 0 I I Z n 0 \0 using the definition of the product in F[[ξ]] and the induction hypothesis. Thus we indeed have β k (I) = 0 whenever I {0,,..., k}. This implies that, if I Z n, then the sum 0 k=0 βk (I) is finite, and the formula in the statement of the lemma for ( β) at least makes sense. To see that it is actually the inverse of β, for I Z n we compute 0 ( β) ( β k) (I) = k=0 β k (I) β k (I) =, k=0 k= as desired. Proceeding with the proof, let us define β = α α(0) so that β(0) = 0. By the lemma, β is a unit. Since α = α(0)( β) it follows that α is also a unit, and that α = α(0) ( β). The formula in the statement of the proposition then follows from the lemma above. Note that one of the consequences of the proof of the proposition is that the expression given for α makes sense since the sum is finite for a fixed I Z n Formal Taylor series One can see an obvious notational resemblance between the representation (.2) and power series in the usual sense. A common form of power series is the Taylor series for an infinitely F-differentiable function about a point. In this section we flesh this out by assigning to an infinitely F-differentiable map a formal power series in a natural way. Throughout this section we let ξ = {ξ,..., ξ n } so F[[ξ]] denotes the F-formal power series in these indeterminates. We let (e,..., e n ) be the standard basis for F n. We might typically denote the dual basis for (F n ) by (e,..., e n ), but notationally, in this section, it is instead convenient to denote the dual basis by (α,..., α n ).

8 8 Holomorphic and real analytic calculus 28/02/204 Let x 0 F n and let U be a neighbourhood of x 0 F n. We suppose that f : U F m is infinitely F-differentiable. We let D k f (x 0 ) be the kth F-derivative of f at x 0, noting that this is an element of L k sym(f n ; F m ) as discussed in Section..2. As we saw in our discussion in Section..2, writing this in the basis for L k sym(f n ; F) gives D k f (x 0 ) = m a= I =k I! DI f a (x 0 )(α i αi n n ) e a. Thus, to f C (U) we can associate an element α f (x 0 ) F[[ξ,..., ξ n ]] F m by α f (x 0 ) = m a= I! DI f a (x 0 )(ξ i ξi n n ) e a. One can (somewhat tediously) verify using the high-order Leibniz Rule (which we prove as Lemma A.2.2 below) that this map is a homomorphism of F-algebras. That is to say, α a f (x 0 ) = aα f (x 0 ), α f +g (x 0 ) = α f (x 0 ) + α g (x 0 ), α f g (x 0 ) = α f (x 0 )α g (x 0 ). We shall call α f (x 0 ) the formal Taylor series of f at x 0. To initiate our discussions of convergence, let us consider R-valued functions for the moment, just for simplicity. The expression for α f (x 0 ) is reminiscent of the Taylor series for f about x 0 : I! DI f (x 0 )(x x 0 ) I. k=0 This series will generally not converge, even though as small children we probably thought that it did converge for infinitely differentiable functions. The situation regarding convergence is, in fact, as dire as possible, as is shown by the following theorem of Borel [895]. Actually, Borel only proves the case where n =. The proof we give for arbitrary n follows [Mirkil 956]...4 Theorem (Borel) If x 0 R n and if U is a neighbourhood of x 0, then the map f α f (x 0 ) from C (U) to R[[ξ]] is surjective. Proof Let us define h: R R by 0, x (, 2], e e /( (x+)2), x ( 2, ), h(x) =, x [, ], e e /( (x )2), x (, 2), 0, x [2, ).

9 28/02/204. Holomorphic and real analytic functions h(x) Figure. The bump function x As is well-known, cf. [Abraham, Marsden, and Ratiu 988, Page 82] and Example..5, the function h is infinitely differentiable. We depict the function in Figure.. Let α R[[ξ]]. Without loss of generality we assume that x 0 = 0. Let r R >0 be such that B n (r, 0) U. We recursively define a sequence ( f j ) j Z 0 in C (U) as follows. We take f 0 C (U) such that f 0 (0) = α(0) and such that supp( f 0 ) B n (r, 0), e.g., take f 0 (x) = α(0)h( 2 r x ). Now suppose that f 0, f,..., f k have been defined and define g k+ : U R to a homogeneous polynomial function in x,..., x n of degree k + so that, for every multi-index I = (i,..., i n ) for which I = k +, we have D I g k+ (0) = α(i) D I f 0 (0) D I f k (0). Note that D I g k+ (0) = 0 if I {0,,..., k} since in these case D I g k+ (x) will be a homogeneous polynomial of degree k + m. Next let ḡ k+ (x) = g k+ (x)h( 2 r x ) so that, since the function x h( 2 r x ) is equal to in a neighbourhood of 0, D I ḡ k+ (0) = α(i) D I f 0 (0) D I f k (0) and D I ḡ k+ (0) = 0 if I {0,,..., k + }. Also supp(ḡ k+ ) B n (r, 0). Next let λ R >0. If we define h λ,k+ (x) = λ k ḡ k+ (λx) then D I h λ,k+ (x) = λ k +m D I ḡ k+ (λx). Thus, if I {0,,..., k}, then we can choose λ sufficiently large that D I h λ,k+ (x) < 2 k for every x B n (r, 0). With λ so chosen we take f k+ (x) = h λ,k+ (x). This recursive definition ensures that, for each k Z 0, f k has the following properties:

10 0 Holomorphic and real analytic calculus 28/02/204. supp( f k ) B n (r, 0); 2. D I f k (0) = α(i) D f 0 (0) D I f k (0) whenever I = (i,... i n ) satisfies I = k; 3. D I f k (0) = 0 if I {0,,..., k }; 4. D I f k (x) < 2 k whenever I {0,,..., k } and x B n (r, 0). We then define f (x) = k=0 f k(x). From the second property of the functions f k, k Z 0, above we see that α = α f. It remains to show that f is infinitely differentiable. We shall do this by showing that the sequences of partial sums for all partial F-derivatives converge uniformly. The partial sums we denote by m F m (x) = f k (x). k=0 Since all functions in our series have support contained in B n (r, 0), this is tantamount to showing that, for all multi-indices I, the sequences (D I F m ) m Z 0 are Cauchy sequences in the Banach space C 0 (B n (r, 0); R) of continuous R-valued functions on B n (r, 0) equipped with the norm g = sup{ g(x) x B n (r, 0)}; see [Hewitt and Stromberg 975, Theorem 7.9]. Let ɛ R >0 and let I = (i,..., i n ) be a multi-index. Let N Z >0 be such that m j=l+ 2 j < ɛ for every l, m N, this being possible since j= 2 j <. Then, for l, m {N, I } with m > l and x B n (r, 0), we have D I F l (x) D I F m (x) m = j=l+ D I f j (x) m D I f j (x) j=l+ m j=l+ 2 j < ɛ, showing that (D I F m ) m Z>0 is a Cauchy sequence in C 0 (B n (r, 0); R), as desired. Thus any possible coefficients in a formal power series can arise as the Taylor coefficients for an infinitely differentiable function. Of course, an arbitrary power series α(i)(x x 0 ) i... (x n x 0n ) i n k=0 I=(i,...,i k ) may well only converge when x = x 0. Not only this, but even when the Taylor series does converge, it may not converge to the function producing its coefficients.

11 28/02/204. Holomorphic and real analytic functions 0.6 f(x) Figure.2 Everyone s favourite smooth but not analytic function x..5 Example (A Taylor series not converging to the function giving rise to it) We define f : R R by e x f (x) = 2, x 0, 0, x = 0, and in Figure.2 we show the graph of f. We claim that the Taylor series for f is the zero R-formal power series. To prove this, we must compute the derivatives of f at x = 0. The following lemma is helpful in this regard. Lemma For j Z 0 there exists a polynomial p j of degree at most 2j such that f (j) (x) = p j(x) e x 3j x 2, x 0. Proof We prove this by induction on j. Clearly the lemma holds for j = 0 by taking p 0 (x) =. Now suppose the lemma holds for j {0,,..., k}. Thus f (k) (x) = p k(x) x 3k e x 2 for a polynomial p k of degree at most 2k. Then we compute f (k+) (x) = x3 p k (x) 3kx2 p k (x) 2p k (x) x 3(k+) e x 2. Using the rules for differentiation of polynomials, one easily checks that x x 3 p k (x) 3kx2 p k (x) 2p k (x) is a polynomial whose degree is at most 2(k + ). From the lemma we infer the infinite differentiability of f on R \ {0}. We now need to consider the derivatives at 0. For this we employ another lemma.

12 2 Holomorphic and real analytic calculus 28/02/204 e 2 Lemma lim x 2 x 0 = 0 for all k Z x k 0. Proof We note that e x 2 x 0 x k lim y k = lim y e, y2 lim x 0 e x 2 x k y k = lim y e. y2 We have e y2 = y 2j j! In particular, e y2 y2k, and so k! y k k!, e y2 y k and so as desired. e x lim 2 x 0 x k = 0, Now, letting p k (x) = 2k a j x j, we may directly compute lim f (k) (x) = lim x 0 x 0 2k a j x j e x 2 x 3k = 2k x 0 e x 2 a j lim = 0. x 3k j Thus we arrive at the conclusion that f is infinitely differentiable on R, and that f and all of its derivatives are zero at x = 0. Thus the Taylor series is indeed zero. This is clearly a convergent power series; it converges everywhere to the zero function. However, f (x) 0 except when x = 0. Thus the Taylor series about 0 for f, while convergent everywhere, converges to f only at x = 0. This is, therefore, an example of a function that is infinitely differentiable at a point, but is not equal to its Taylor series at x = 0. This function may seem rather useless, but in actuality it is quite an important one. For example, we used it in the construction for the proof of Theorem..4. It is also used in the construction of partitions of unity which are so important in smooth differential geometry, and whose absence in holomorphic and real analytic differential geometry makes the latter subject so subtle. Another way to think of the preceding example is that it tells us that the map f α f (x 0 ) from C (U) to R[[ξ]], while surjective, is not injective...5 Convergent power series In the preceding section we saw that smoothness in the R-valued case was not enough to ensure that the Taylor series of a function has any useful correspondence to the values of the function. This leads us to naturally consider convergent power

13 28/02/204. Holomorphic and real analytic functions 3 series. Throughout this section we let ξ = {ξ,..., ξ n } so F[[ξ]] denotes the F-formal power series in these indeterminates. Let us turn to formal power series that converge, and give some of their properties. Recalling notation from Section..2, we state the following...6 Definition (Convergent formal power series) Let ξ = {ξ,..., ξ n }. A formal power series α F[[ξ]] converges at x F n if there exists a bijection φ: Z >0 Z n such that 0 the series α(φ(j))x φ(j) j= converges. Let us denote by R conv (α) the set of points x F n such that α converges at x. We call R conv (α) the region of convergence. We denote by ˆF[[ξ]] = {α R[[ξ]] R conv (α) {0}} the set of power series converging at some nonzero point...7 Remark (On notions of convergence for multi-indexed sums) Note that the definition of convergence we give is quite weak, as we require convergence for some arrangement of the index set Z n. A stronger notion of convergence would be that the 0 series α(φ(j))x φ(j) j= converge for every bijection φ: Z >0 Z n. This, it turns out, is equivalent to absolute 0 convergence of the series, i.e., that α(i) x I <. This is essentially explained by Roman [2005] (see Theorem 3.24) and Rudin [976] (see Theorem 3.55). We shall take an understanding of this for granted. Let us now show that convergence as in the definition above at any nontrivial point (i.e., a nonzero point) leads to a strong form of convergence at a large subset of other points. To be precise about this, for x F n let us denote C(x) = {(c x,..., c n x n ) F n c,..., c n D (, 0)}. Thus C(x) is the smallest open polydisk centred at the origin whose closure contains x. Also see the interesting paper of Dvoretzky and Rogers [950] in this regard, where it is shown that the equivalence of absolute and unconditional convergence only holds in finite dimensions.

14 4 Holomorphic and real analytic calculus 28/02/ Theorem (Uniform and absolute convergence of formal power series) Let α F[[ξ]] and suppose that α converges at x 0 F n. Then α converges uniformly and absolutely on every compact subset of C(x 0 ). Proof Let K C(x 0 ) be compact. The proposition holds trivially if K = {0}, so we suppose this is not the case. Let λ (0, ) be such that x j λ x 0j for x K and j {,..., n}. Let φ: Z >0 Z n 0 be a bijection such that j= α(φ(j))x φ(j) 0 converges. This implies, in particular, that the sequence (α(φ(j))x φ(j) ) 0 j Z>0 is bounded. Thus there exists M R >0 such that α(i) x I 0 M for every I Zn 0. Then α(i) xi Mλ I for every x K. In order to complete the proof we use the following lemma. Lemma For x (, ), Proof (m + j)! x j = dm ( x m ). j! dx m x Let a (0, ) and recall that a = a j = a m a = a m+j [Rudin 976, Theorem 3.26]. Also, by the ratio test, the series (m + j)(m + j ) (m + j k)a m+j k (.3) converges for k Z 0. Now, for x [ a, a], since xm x < am a, we have x m+j = xm x, with the convergence being uniform and absolute on [ a, a]. differentiated term-by-term to give d ( x m ) = (m + j)x m+j. dx x Thus the series can be Since (m + j)x m+j (m + j)a m+j, this differentiated series converges uniformly and absolutely on [ a, a] since the series (.3) converges. In fact, by the same argument, this differentiation can be made m-times to give d n ( x m ) = dx n (m + j) (m + j m + )x j = x (m + j)! x j, j! as desired.

15 28/02/204. Holomorphic and real analytic functions 5 Now, continuing with the proof, for x K and for m Z 0 we have α(i)x I I m ( ) n + j α(i) x I Mλ I < M n < M I m I m using Lemma.. and Lemma. Thus the sum α(i)x I (n + j )! λ j = M dn ( λ n ), (n )! dλ n λ λ j converges absolutely on K, and uniformly in x K since our computation above provides a bound independent of x. The result implies that, if we have convergence (in the weak sense of Definition..6) for a formal power series at some nonzero point in F n, we have a strong form of convergence in some neighbourhood of the origin. We now define { R abs (α) = x F n α(i)y I < for all y B n (r, x) }, r R >0 which we call the region of absolute convergence. The following result gives the relationship between the two regions of convergence...9 Proposition (int(r conv (α)) = R abs (α)) For α F[[ξ]], int(r conv )(α) = R abs (α). Proof Let x int(r conv (α)). Then, there exists λ > such that λx R conv (α). For such a λ, x C(λx). Let K C(λx) and r R >0 be such that B n (r, x) K, e.g., take K to be a large enough closed polydisk. By Theorem..8 it follows that α(i)y I < for y B n (r, x) K, and so x R abs (α). If x R abs (α) then there exists r R >0 such that α(i)y I < for y B n (r, x). In particular, α converges at every y B n (r, x) and so x int(r conv (α)). Examples show that the relationship between the region of convergence and the region of absolute convergence can be quite general, apart from the requirement of the preceding proposition.

16 6 Holomorphic and real analytic calculus 28/02/ Examples (Regions of convergence). Consider the formal power series α = j= 2 j j 2 zj in one variable. We compute a j+ 2 j j 2 lim = lim = j a j j 2 j+ (j + ) 2 2. By the ratio test [Rudin 976, Theorem 3.34] it follows that the radius of convergence of the power series j= zj is 2. When z = 2 we have 2 j j 2 2 j j 2 zj 2 j j 2 z j = j, 2 j= j= from which we conclude that the series converges absolutely and so converges. Thus R abs (α) = D (2, 0), while R conv (α) = D (2, 0). 2. Now consider the formal power series α = j= 2 j j zj, again in one variable. We again use the ratio test and the computation a j+ 2 j j lim = lim j a j j 2 j+ = (j + ) 2 to deduce that this power series has radius of convergence 2. When z = 2 let us write z = 2e iθ so the power series at these points becomes e ijθ cos(jθ) sin(jθ) = + i. j j j j= j= One can look up (I used Mathematica ) cos(jθ) = j 2 (log( eiθ ) + log( e iθ )) (.4) and j= j= sin(jθ) j From this we conclude that R abs (α) = D (2, 0), while j= j= = i 2 (log( eiθ ) log( e iθ )). (.5) R conv (α) = D (2, 0) \ {2 + i0}.

17 28/02/204. Holomorphic and real analytic functions 7 3. Now we define the formal power series k α = k= z 2k 2 k k in one variable. We have lim sup a j /j = lim sup ( ) /2k /2k = 2 lim = 2. j 2 k k k k Thus the radius of convergence is 2 by the root test. When z = 2 we write z = 2e iθ and so the power series becomes k= at these points. By replacing θ with 2θ in the equalities (.4) and (.5) we deduce that R abs = D ( 2, 0) while e 2iθ R conv = D ( 2, 0) \ { 2 + i0, 2 + i0}. If we consider the preceding examples as R-power series, we see that the region of convergence can be an open interval, a closed interval, or an interval that is neither open nor closed. This result has the following corollary that will be useful for us... Corollary (Property of coefficients for convergent power series) If α ˆF[[ξ]] and if x R abs (α) then there exists C, ɛ R >0 such that α(i) for every I Z n. 0 Proof Note that, if x R abs (α), then k C ( x + ɛ) i ( xn + ɛ) i n ( x,..., x n ) R abs (α) by definition of the region of absolute convergence and by Theorem..8. Proposition..9 there exists ɛ R >0 such that ( x + ɛ,..., x n + ɛ) R conv (α). Thus there exists a bijection φ: Z >0 Z 0 such that α(φ(j))( x + ɛ) φ(j) ( x n + ɛ) φ(j) n j= Now, by converges. Therefore, the terms in this series must be bounded. Thus there exists C R >0 such that α(i)( x + ɛ) i ( x n + ɛ) i n < C for every I Z n 0.

18 8 Holomorphic and real analytic calculus 28/02/204 Using this property of the coefficients of a convergent power series, one can deduce the following result...2 Corollary (Convergent power series converge to infinitely F-differentiable functions) If α ˆF[[ξ]] then the series α(i)x I converges in R abs to an infinitely F-differentiable function whose F-derivatives are obtained by differentiating the series term-by-term. Proof By induction it suffices to show that any partial F-derivative of f is defined on R abs by a convergent power series. Consider a term α(i)x I in the power series for I Z n 0. For j Z >0 we have α(i)x I 0, i j = 0, = x j i j α(i)x I e j, i j. Thus, when differentiating the terms in the power series with respect to x j, the only nonzero contribution will come from terms corresponding to multi-indices of the form I + e j. In this case, x j α(i + e j )x I+e j = (i j + )α(i + e j )x I. Therefore, the power series whose terms are the partial F-derivatives of those for the given power series with respect to x j is (i j + )α(i + e j )x I. Now let x R abs and, according to Corollary.., let C, ɛ R >0 be such that α(i) C ( x + ɛ) i ( xn + ɛ) i, I Z n n 0. Let y R abs be such that y D n ( ɛ 2, x). Note that y j x j + y j x j < x j + ɛ 2. Also let Then, we compute { x + ɛ 2 λ = max x + ɛ,..., x n + ɛ } 2 (0, ). x n + ɛ i j + α(i + e j ) y I ( x + ɛ ) i ( 2 xn + ɛ ) in 2 C i j + x + ɛ x n + ɛ C i j + λ m m=0 I =m ( ) n m C(m + ) λ m, n m=0

19 28/02/204. Holomorphic and real analytic functions 9 using Lemma... The ratio test shows that this last series converges. Thus the power series whose terms are the partial F-derivatives of those for the given power series with respect to x j converges uniformly and absolutely in a neighbourhood of x. Thus ( x j α(i)x I) = (i j + )α(i + e j )x I, which gives the corollary, after an induction as we indicated at the beginning of the proof. In Theorem..6 below we shall show that, in fact, convergent power series are real analytic on R abs...6 Holomorphic and real analytic functions Throughout this section we let ξ = {ξ,..., ξ n } so F[[ξ]] denotes the F-formal power series in these indeterminates. Now understanding some basic facts about convergent power series, we are in a position to use this knowledge to define what we mean by a real analytic function, and give some properties of such functions...3 Definition (Holomorphic function, real analytic function) Let U F n be open. A function f : U F is (i) (if F = R) real analytic or of class C ω on U, or (ii) (if F = C) holomorphic or of class C hol on U if, for every x 0 U, there exists α x0 ˆF[[ξ]] and r R >0 such that f (x) = α x0 (I)(x x 0 ) I = α x0 (I)(x x 0 ) i (x n x 0n ) i n for all x B n (r, x 0 ). The set of real analytic functions on U is denoted by C ω (U). A map f : U F m is real analytic (resp. holomorphic) or of class C ω (resp. class C hol ) on U if its components f,..., f m : U F are real analytic (resp. holomorphic). The set of real analytic (resp. holomorphic) F m -valued maps on U is denoted by C ω (U; R m ) (resp. C hol (U; C m ))...4 Notation ( Real analytic or analytic ) We shall very frequently, especially outside the confines of this chapter, write analytic in place of real analytic. This is not problematic since we use the term holomorphic and not the term analytic when referring to functions of a complex variable. We can now show that a real analytic (resp. holomorphic) function is infinitely F-differentiable with real analytic (resp. holomorphic) derivatives, and that the power series coefficients α x0 (I), I Z n 0, are actually the Taylor series coefficients for f at x 0.

20 20 Holomorphic and real analytic calculus 28/02/ Theorem (Holomorphic or real analytic functions have holomorphic or real analytic partial derivatives of all orders) If U F n is open and if f: U F is holomorphic or real analytic, then all partial F-derivatives of f are holomorphic or real analytic, respectively. Moreover, if x 0 U, and if α ˆF[[ξ]] and r R >0 are such that f(x) = α(i)(x x 0 ) I (.6) for all x B n (r, x 0 ), then α = α f (x 0 ). Proof We begin with a lemma. Lemma If U F n is open and if f: U F is holomorphic or real analytic, then f is F-differentiable and its partial F-derivatives are holomorphic or real analytic functions, respectively. Proof Let x 0 U and let r R >0 and α ˆF[[ξ]] be such that f (x) = α(i)(x x 0 ) I (.7) for all x B n (r, x 0 ). As we showed in the proof of Corollary..2, the power series whose terms are the partial derivatives of those for the power series for f with respect x j is (i j + )α(i + e j )(x x 0 ) I. Now let ɛ R >0 be such that x ɛ (x 0 + ɛ,..., x 0n + ɛ) B n (r, x 0 ). Since the series (.7) converges at x ɛ, the terms in the series (.7) must be bounded. Thus there exists C R >0 such that, for all I Z n 0, α(i)(x ɛ x 0 ) I = α(i) ɛ I C. Let x B n (r, x 0 ) be such that x j x 0j < λɛ for some λ (0, ). We then estimate (i j + )α(i + e j )(x x 0 ) I = (i j + ) α(i + e j ) (x x 0 ) I C (i j + ) (x x 0) I C ɛ C ɛ ɛ I + ( ) n + k (k + ) λ k, n k=0 (i j + )λ I where we have used Lemma... The ratio test can be used to show that this last series converges. Since this holds for every x for which x j x 0j < λɛ for λ (0, ), it follows that there is a neighbourhood of x 0 for which the series x j α(i)(x x 0 ) I k=0 I =k

21 28/02/204. Holomorphic and real analytic functions 2 converges absolutely and uniformly. This means that f x j is represented by a convergent power series in a neighbourhood of x 0. Since x 0 U is arbitrary, it follows that f x j is holomorphic or real analytic in U. Now, the only part of the statement in the theorem that does not follow immediately from a repeated application of the lemma is the final assertion. This conclusion is proved as follows. If we evaluate (.6) at x = x 0 we see that α(0) = f (x 0 ). In the proof of the lemma above we showed that f x j (x) = (i j + )α(i + e j )(x x 0 ) I in a neighbourhood of x 0. If we evaluate this at x = x 0 we see that α(e j ) = f x j (x 0 ). We can then inductively apply this argument to higher-order F-derivatives to derive the formula α(i e + + i n e n ) = which gives α(i) = α f (x 0 )(I), as desired. i! i n! Di + +i n f (x 0 ) = I! DI f (x 0 ), By definition, holomorphic and real analytic functions are represented by convergent power series in fact their Taylor series by Theorem..5 in a neighbourhood of any point. Conversely, any convergent power series defines a real analytic function on its domain of convergence...6 Theorem (Convergent power series define holomorphic or real analytic functions) If α ˆF[[ξ]] then the function f α : R abs (α) F defined by f α (x) = α(i)x I (.8) is holomorphic or real analytic. Proof By Corollary..2 we know that f α is infinitely F-differentiable and its F- derivatives can be gotten by term-by-term differentiation of the series for f α. Let x 0 R abs (α). By an induction on the argument of Corollary..2, if J = (j,..., j n ) Z n 0 then D J f α (x 0 ) = (i + j ) (i + ) (i n + j n ) (i n + )α(i + J)x I 0. Note that We must show that J! DJ f α (x 0 ) = f α (x) = ( ) ( ) i + j in + j n α(i + J)x I 0. J Z n 0 j j n J! DJ f α (x 0 )(x x 0 ) J for x in some neighbourhood of x 0. To this end, the following lemma will be useful.

22 22 Holomorphic and real analytic calculus 28/02/204 Lemma If a, b R >0 satisfy a + b <, then ( ) ( ) i + j in + j n a I b J = ( ) n. a b J Z n 0 j j n Proof Recall that for m Z 0 we have m ( ) m a m j b j = (a + b) m, j as is easily shown by induction. Therefore, m m=0 ( ) m a m j b j = j a b, cf. the proof of Lemma from the proof of Theorem..8. Note that the sets {(i, j) Z 2 i + j = m}, {(m, j) Z 2 j m} are in one-to-one correspondence. Using this fact we have ( ) ( ) i + j in + j ( ) ( ) n a I b J i + j = a i in + j b j n a i n b j n J Z n 0 as desired. j j n j J Z n I Z n 0 0 m ( ) m = ( i =0 j =0 = ( a b j ) m, j n ) ( m n a m j b j i n =0 j n =0 ( mn j n ) ) a m n j n b j n Let z R abs (α) be such that none of the components of z are zero and such that x 0j z j < for j {,..., n}. This is possible by openness of R abs (α). Denote λ = max { x 0 z,..., x 0n z n }. Let ρ R >0 be such that λ + ρ <. If y R abs (α) satisfies y j x 0j < ρ z j for j {,..., n}. With these definitions we now compute ( ) ( ) J! DJ f α (x 0 ) (x x 0 ) J i + j in + j n = α(i + J) x I 0 (x x 0) J J Z n 0 J Z n 0 J Z n 0 j ( ) ( ) i + j in + j n C j J Z n I Z n j n z I+J xi 0 ρ J z J 0 0 ( ) ( ) i + j in + j n = C j j n j n λ I ρ J = C ( λ ρ ) n,

23 28/02/204. Holomorphic and real analytic functions 23 using the lemma above. This shows that the Taylor series for f α at x 0 converges absolutely and uniformly in a neighbourhood of x 0. It remains to show that it converges to f α. We do this separately for the holomorphic and real analytic cases. First, for the holomorphic case, as in the proof of Corollary..24, we have D I f α (z) = I! ( ) n f α (ζ)dζ dζ n 2πi bd D n (ˆr,z 0 ) (ζ z ) I + (ζ n z n ) I n+, where r R >0 is chosen sufficiently small that D n (ˆr, z 0 ) U. Thus we have, using Fubini s Theorem and the Dominated Convergence Theorem, ) n I! DI f α (z 0 )(z z 0 ) I = = ( ) n 2πi bd D n (ˆr,z 0 ) = ( ) n 2πi bd D n (ˆr,z 0 ) ) n = ( 2πi bd D n (ˆr,z 0 ) (z z 0 ) I( 2πi f α (ζ) (ζ z 0 ) (ζ n z 0n ) bd D n (ˆr,z 0 ) f α (ζ)dζ dζ n (ζ z 0 ) I + (ζ n z 0n ) I n+ ( z z 0 ) I ( zn z 0n ) Indζ dζ n ζ z 0 ζ n z 0n f α (ζ) (ζ z 0 ) (ζ n z 0n ) z z 0 ζ z 0 f α (ζ) (ζ z ) (ζ n z n ) dζ dζ n = f α (z) z n z 0n dζ dζ n ζ n z 0n for z D n (ˆr, z 0 ). Now we consider the real analytic case, and show that the Taylor series for f α converges to f α at x 0. Let x be a point in the neighbourhood of x 0 where the Taylor series of f α at x 0 converges. Let k Z >0. By Taylor s Theorem [Abraham, Marsden, and Ratiu 988, Theorem 2.4.5] there exists such that f α (x) = J Z n 0 J k By Corollary..2 we have Therefore, f α (x) J Z n 0 J k J! DJ f α (z) = z {( t)x 0 + tx t [0, ]} J! DJ f α (x 0 )(x x 0 ) J + J Z n 0 J =k+ J! DJ f α (z)(x x 0 ) J. ( ) ( ) i + j in + j n α(i + J)z I. J! DJ f α (x 0 )(x x 0 ) J = j J Z n 0 J =k+ J Z n 0 J =k+ j n J! DJ f α (z) (x x 0 ) J ( ) ( ) i + j in + j n α(i + J) z I (x x 0 ) J. j j n

24 24 Holomorphic and real analytic calculus 28/02/204 Just as we did above when we showed that the Taylor series for f α at x 0 converges absolutely, we can show that the series ( ) ( ) i + j in + j n α(i + J) z I (x x 0 ) J converges. Therefore, and so J Z n 0 lim k J Z n 0 J =k+ j j n ( ) ( ) i + j in + j n α(i + J) z I (x x 0 ) J = 0, k j lim f α (x) J Z n 0 J k j n J! DJ f α (x 0 )(x x 0 ) J = 0, showing that the Taylor series for f α at x 0 converges to f α in a neighbourhood of x 0. As a final result, let us characterise real analytic functions by providing an exact description of their derivatives...7 Theorem (Derivatives of holomorphic or real analytic functions) If U F n is open and if f: U F is infinitely F-differentiable, then the following statements are equivalent: (i) f is holomorphic or real analytic; (ii) for each x 0 U there exists a neighbourhood V U of x 0 and C, r R >0 such that for all x V and I Z n 0. D I f(x) CI!r I Proof We consider the holomorphic and real analytic cases separately. First, in the holomorphic case, if f is holomorphic then it follows from Corollary..24 that condition (ii) holds. Conversely, suppose that for each x 0 U there exists a neighbourhood V U of x 0 and C, r R >0 such that D I f (x) CI!r I for all x V and I Z n 0. Then, for x 0 U, let C, r, ρ R >0 be such that ρ < r and Then, for x B n (ρ, x 0 ) we have D I f (x) CI!r I, I Z n 0, x Bn (ρ, x 0 ). I! DI f (x 0 ) (x x 0 ) I (ρ) I r (ρ k=0 I =k ( ) n k ( ρ) k, k r k=0 r ) I

25 28/02/204. Holomorphic and real analytic functions 25 using Lemma... By the ratio test, the last series converges, giving absolute convergence of the Taylor series of f at x 0. We must also show that the series converges to f. This can be done in the holomorphic case just as in the proof of Theorem..6. Now we consider the real analytic case. We will use the following lemmata. Lemma Let J Z n 0 and let x Rn satisfy x k <, k {,..., n}. Then Proof Therefore, ( ) ( ) i + j in + j n J! j j n x I = J x J ( n k= By Lemma from the proof of Theorem..8 we have ( ) ik + j k j k! i k =0 j k x i k k = i k =0 (i k + j k )! i k! ( ) ( ) i + j in + j n J! x I = j j n x i k = dj k dx j k k x j k k x k ). ( x j k k x k ), k {,..., n}. ( ) ( ) i + j j! x i j in + j n n! i = ( ( ) i + j j! = i =0 ( d j dx j i x i ( x j ) ) x = J ( n x j k ) k, x J x k k= i n x i n n ) ( ( in + j n j n! ( d j n dx j n n i n =0 ( x j n n x n ) i n ) ) x i n n ) as desired. 2 Lemma For each R (0, ) there exists A, λ R >0 such that, for each m Z 0, Proof We first claim that sup { d m ( x m ) dx m x [ R, R] } Am!λ m. x ( ) m + j x j = j ( x) m+ (.9) for x (, ) and m Z 0. Indeed, by [Rudin 976, Theorem 3.26] we have x j = x, and convergence is uniform and absolute on [ R, R] for R (0, ). Differentiation m-times of both sides with respect to x then gives (.9).

26 26 Holomorphic and real analytic calculus 28/02/204 By Lemma from the proof of Theorem..8 we have for x (, ). If x [ R, R] then ( d m ( x m )) ( R) m dx m x m! d m ( x m ) = dx m x = ( R) m = (m + j)! x j j! (m + j)! x j = ( R) m m!j! ( ) m + j ( R)m ( x) m+ = ( R) m x x R. j x j That is to say, d m ( x m ) dx m x R m!( R) m, and so the lemma follows with A = R and λ = R. Now, for x in a neighbourhood V of x 0 we have f (x) = I! DI f (x 0 )(x x 0 ) I. Let us abbreviate α(i) = I! DI f (x 0 ). By Corollary.. there exists C, σ R >0 such that α(i) C σ I, I Z n 0. By Corollary..2 and following the computations from the proof of Theorem..6, we can write ( ) ( ) i + j in + j n J! DJ f (x) = α(i + J)(x x 0 ) I (.0) j for J Z n 0 and for x in a neighbourhood of x 0. Therefore, there exists ρ (0, σ) sufficiently small that, if x R n satisfies x j x 0j < ρ, j {,..., n}, (.0) holds. Let C J be the partial derivative J ( n x J k= j n x j k ) k x k evaluated at x = ( ρ σ,..., ρ σ ). Let R (0, ) satisfy R > ρ σ. By the second lemma above there exists A, λ R >0 such that, for each k {,..., n} and each x k [ R, R], we have It follows that d j k dx j k k ( x j k k x k ) Ajk!λ j k J ( n x j k ) k A n x J J!λ J x k k=

27 28/02/204. Holomorphic and real analytic functions 27 whenever x = (x,..., x n ) satisfies x j < R, j {,..., n}. In particular, C J A n J!λ J. Then, for such x such that x j x 0j < ρ, j {,..., n}, we have D J f (x) ( ) ( ) i + j in + j n J! α(i + J) (x x 0 ) I j j n ( ) ( ) i + j in + j n J! C σ J ( ρ σ j j n C σ J C J C A n J!(λ + σ) J, using the lemmata above. Thus the second condition in the statement of the theorem holds with C = C A n and r = λ + σ. For the converse part of the proof, we can show as in the holomorphic case that the Taylor series for f converges absolutely in a neighbourhood of x 0. We must show that we have convergence to f. Let k Z >0, let x B n (ρ, x 0 ), and recall from Taylor s Theorem [Abraham, Marsden, and Ratiu 988, Theorem 2.4.5] that there exists z {( t)x 0 + tx t [0, ]} ) I such that Thus f (x) = I k f (x) I k I =k+ I! DI f (x 0 )(x x 0 ) I + I! DI f (x 0 )(x x 0 ) I ( ) (ρ) I n k ( ρ = r k r ) k+. I =k+ I =k+ I! DI f (z)(x x 0 ) I. I! DI f (z) (x x 0 ) I As we saw above, the series converges, and so giving k ( ) n k ( ρ k r k=0 lim k lim f (x) ) k ( ) n k ( ρ) k+ = 0, k r I k I! DI f (x 0 )(x x 0 ) I = 0, and so f is equal to its Taylor series about x 0 in a neighbourhood of x 0.

28 28 Holomorphic and real analytic calculus 28/02/204 Note that while holomorphic and real analytic functions satisfy the same estimate for derivatives as in the theorem, the nature of the constant C in the estimate is different in the holomorphic and real analytic case. Indeed, from Corollary..24 below we can take C = sup{ f (z) z D n (ˆr, z 0 )}. Thus the derivative bounds are expressed in terms of the values of the function. This is not the case for real analytic functions. This will have consequences, for example, when we place suitable topologies on spaces of holomorphic objects and real analytic objects. Such topologies are typically much more easy to understand in the holomorphic case. The following result is one that is often useful...8 Theorem (Identity Theorem in F n ) If U F n is a connected open set, if V U is a nonempty open set and if f, g: U F are holomorphic or real analytic and satisfy f V = g V, then f = g. Proof It suffices to show that if f (x) = 0 for x V then f vanishes on U. Let O = int({x U f (x) = 0}). Since O is obviously open, since U is connected it suffices to show that it is also closed to show that O = U. Thus let x 0 cl U (O). Note that for all r R >0 sufficiently small that B n (r, x 0 ) U we have B n ( r 2, x 0) O. Thus let x B n ( r 2, x 0)) O and note that x 0 B n ( r 2, x) O U. Now additionally require that r be sufficiently small that the Taylor series for f at x converges in B n ( r 2, x). Since x O, this means that this Taylor series is zero in a neighbourhood of x and so the Taylor coefficients must all vanish. Consequently, f vanishes on B n ( r 2, x) and, in particular, in a neighbourhood of x 0. Thus x 0 O and so O is closed. In the one-dimensional case, a stronger conclusion can be drawn...9 Proposition (A strong Identity Theorem in one dimension) If U F is a connected open set, if S U is a set with an accumulation point, and if f: U F is holomorphic or real analytic function for which f(x) = 0 for every x S, then f(x) = 0 for every x U. Proof Let x 0 U be an accumulation point for S. Then there exists a sequence of distinct points (x j ) j Z>0 in S converging to x 0. Suppose, without loss of generality (by translating U if necessary), that x 0 = 0 for simplicity. Note that the sequence ( x j x j ) j Z >0 in D (, 0) must contain a convergent subsequence by the Bolzano Weierstrass Theorem [Abraham, Marsden, and Ratiu 988, Theorem.5.4] and compactness of D (, 0). Thus we can suppose, by passing to a subsequence if necessary, that all points in the sequence have real and imaginary parts of the same sign. Let us also suppose, without loss of generality by passing to a subsequence if necessary, that the sequence ( y j ) j Z>0 is monotonically decreasing. We claim that, for every r Z >0, () D r ( f φ )(0) = 0 and (2) there exists a sequence (y r,j ) j Z>0 in B (R, 0) converging to 0 such that D r ( f φ )(y r,j ) = 0. We prove this by induction on r. For r = 0, by continuity of f we have f φ (0) = lim j f φ (y j ) = 0,

29 28/02/204. Holomorphic and real analytic functions 29 and so our claim holds with y 0,j = y j, j Z >0. Now suppose that, for r {,..., k}, we have () D r ( f φ )(0) = 0 and (2) there exists a sequence (y r,j ) j Z>0 in B n (R, 0) converging to 0 such that D r ( f φ )(y r,j ) = 0. Let j Z >0. By the Mean Value Theorem [Abraham, Marsden, and Ratiu 988, Proposition 2.4.8], there exists y k+,j {( t)y k,j + ty k,j+ t [0, ]} such that D k+ ( f φ )(y k+,j ) = 0. Let us show that lim j y k+,j = 0. Let t j [0, ] be such that y k+,j = ( t j )y k,j + t j y k,j+. Then, since y k+,j ( t j ) y k,j + t j y k,j+, we indeed have lim j y k+,j = 0. Continuity of D k+ ( f φ ) ensures that D k+ ( f φ )(0) = lim j D k+ ( f φ )(y k+,j ) = 0, giving our claim by induction. Since f φ is analytic and all of its derivatives vanish at 0, there is a neighbourhood U 0 of 0 in Bn (R, 0) such that f φ vanishes identically on V. The result now follows from the preceding theorem...7 Some particular properties of holomorphic functions In this section we provide a few important distinction between the cases F = C and F = R. The first crucial, and perhaps surprising, difference concerns so-called separate holomorphicity...20 Definition (Separately holomorphic) Let U C n be open and, for j {,..., n}, define the open set U j (ẑ,..., ẑ j, ẑ j+, ẑ n ) = {z C (ẑ,..., ẑ j, z, z j+,..., ẑ n ) U}, provided that this set is nonempty. A function f : U C is separately holomorphic if the function z j f (ẑ,..., ẑ j, z j, ẑ j+,..., ẑ n ) on U j (ẑ,..., ẑ j, ẑ j+, ẑ n ) is holomorphic (in the usual single variable sense) for each j {,..., n} and each ẑ,..., ẑ j, ẑ j+,..., ẑ n C for which U j (ẑ,..., ẑ j, ẑ j+, ẑ n ) is nonempty. The main theorem is that separate holomorphicity implies holomorphicity (which for now we know as C-differentiability), with no additional hypotheses [Hartogs 906].

30 30 Holomorphic and real analytic calculus 28/02/ Theorem (Hartogs Theorem) If U C n is open and if f: U C is a separately holomorphic, then f is holomorphic on U. Proof See [Krantz 992, 2.4]. It is not the case that a separately real analytic function is real analytic, and a counterexample is provided by the function f : R 2 R given by x x 2, (x x f (x, x 2 ) = 2, x 2 ) (0, 0), +x2 2 0, (x, x 2 ) = (0, 0). A discussion of this may be found in [Krantz and Parks 2002, 4.3]. A nice consequence of Hartogs Theorem is that it permits the use of single variable methods in some several variable cases. One example of this is the extension to several variables of the Cauchy Riemann equations. We define = ( i ), z j 2 x j y j = ( + i ), j {,..., n}, (.) z j 2 x j y j and so, if f : U C is differentiable in the real variable sense, we can define z f and z j f. Moreover, we have the following result...22 Corollary (Cauchy Riemann equations) If U C n is open and if f: U C is continuously differentiable in the real variable sense, then f is holomorphic if and only if z j f(z) = 0 for every z U and every j {,..., n}. If we decompose z and f into their real and imaginary parts as z = x + iy and f (z) = g(z) + ih(z), then this reproduces the familiar Cauchy Riemann equations: g x j = h y j, g y j = h x j, j {,..., n}. Another theorem very clearly particular to the complex case is the following...23 Theorem (C-differentiable functions are infinitely C-differentiable) If U C n is open and if f: U C is C-differentiable, then f is infinitely C-differentiable. Proof For z 0 U we let r R n >0 be sufficiently small that Dn (r, z 0 ) U. Then a repeated application of the Cauchy integral formula in one-dimension and an application of Fubini s Theorem gives f (z) = ( ) n dζ f (ζ)dζ n (.2) 2πi ζ z 0 =r ζ z ζ n z 0n =r n ζ n z n = ( ) n f (ζ)dζ dζ n 2πi (ζ z ) (ζ n z n ) bd D n (r,z 0 )

31 28/02/204. Holomorphic and real analytic functions 3 for every z D n (r, z 0 ). By the Dominated Convergence Theorem we can then differentiate under the integral sign to get D I I! f (ζ)dζ dζ n f (z) = (2πi) n (ζ z ) I + (ζ n z n ) I n+ bd D n (r,z 0 ) for all z D n (r, z 0 ). Thus we conclude that C-differentiable functions are infinitely C- differentiable. The following corollary, also particular only to the complex case, is useful...24 Corollary (Derivative estimates for C-differentiable functions) If U C n is open and if f: U C is holomorphic, then D I f(z 0 ) I! r I sup{ f(ζ) ζ D n (r, z 0 )}, ri n n for any z 0 U, and where r R n is such that >0 Dn (r, z 0 ) U. Proof Denoting M = sup{ f (ζ) ζ D n (r, z 0 )} and using the formula (.2) with z = z 0, along with the fact that ζ j = z 0j + r j e iθ, θ [0, 2π], on the contours along which integration is performed, we have D I f (z 0 ) I! M (2π) n r I dζ + r I dζ n n+ n ζ z 0 =r ζ n z 0n =r n M = I! (2π) n which is the desired estimate. r I + r I n+ n (2πr ) (2πr n ), As a result of the discussion in this section and in Section..7, we have the following result...25 Theorem (Characterisation of holomorphic functions) If U C n is open and if f: U C m, then the following statements are equivalent: (i) f is holomorphic; (ii) f is separately holomorphic; (iii) f is C-differentiable; (iv) f is continuously differentiable in the real variable sense and satisfies the Cauchy Riemann equations. As a result of this, we can now dispense with some of the cumbersome terminology we have been using. For example, we do not need the notion of C-class C k. Thus, we will dispense with this, and revert to the standard notion of simply saying holomorphic in the complex case (since this covers everything) and class C k for k Z >0 {, ω} in the real case. Another useful property of holomorphic functions mirroring what holds in the single variable case is the Maximum Modulus Principle.

Hartogs Theorem: separate analyticity implies joint Paul Garrett garrett/

Hartogs Theorem: separate analyticity implies joint Paul Garrett  garrett/ (February 9, 25) Hartogs Theorem: separate analyticity implies joint Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ (The present proof of this old result roughly follows the proof

More information

4 Uniform convergence

4 Uniform convergence 4 Uniform convergence In the last few sections we have seen several functions which have been defined via series or integrals. We now want to develop tools that will allow us to show that these functions

More information

Appendix B Convex analysis

Appendix B Convex analysis This version: 28/02/2014 Appendix B Convex analysis In this appendix we review a few basic notions of convexity and related notions that will be important for us at various times. B.1 The Hausdorff distance

More information

An introduction to some aspects of functional analysis

An 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 information

INTRODUCTION TO REAL ANALYTIC GEOMETRY

INTRODUCTION TO REAL ANALYTIC GEOMETRY INTRODUCTION TO REAL ANALYTIC GEOMETRY KRZYSZTOF KURDYKA 1. Analytic functions in several variables 1.1. Summable families. Let (E, ) be a normed space over the field R or C, dim E

More information

An Introduction to Complex Analysis and Geometry John P. D Angelo, Pure and Applied Undergraduate Texts Volume 12, American Mathematical Society, 2010

An Introduction to Complex Analysis and Geometry John P. D Angelo, Pure and Applied Undergraduate Texts Volume 12, American Mathematical Society, 2010 An Introduction to Complex Analysis and Geometry John P. D Angelo, Pure and Applied Undergraduate Texts Volume 12, American Mathematical Society, 2010 John P. D Angelo, Univ. of Illinois, Urbana IL 61801.

More information

2. Function spaces and approximation

2. Function spaces and approximation 2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C

More information

Complex Analysis Qualifying Exam Solutions

Complex Analysis Qualifying Exam Solutions Complex Analysis Qualifying Exam Solutions May, 04 Part.. Let log z be the principal branch of the logarithm defined on G = {z C z (, 0]}. Show that if t > 0, then the equation log z = t has exactly one

More information

Exercise Solutions to Functional Analysis

Exercise Solutions to Functional Analysis Exercise Solutions to Functional Analysis Note: References refer to M. Schechter, Principles of Functional Analysis Exersize that. Let φ,..., φ n be an orthonormal set in a Hilbert space H. Show n f n

More information

Notes on Complex Analysis

Notes on Complex Analysis Michael Papadimitrakis Notes on Complex Analysis Department of Mathematics University of Crete Contents The complex plane.. The complex plane...................................2 Argument and polar representation.........................

More information

Introduction to Real Analysis Alternative Chapter 1

Introduction to Real Analysis Alternative Chapter 1 Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces

More information

Some Background Material

Some Background Material Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important

More information

Compact operators on Banach spaces

Compact operators on Banach spaces Compact operators on Banach spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto November 12, 2017 1 Introduction In this note I prove several things about compact

More information

POWER SERIES AND ANALYTIC CONTINUATION

POWER SERIES AND ANALYTIC CONTINUATION POWER SERIES AND ANALYTIC CONTINUATION 1. Analytic functions Definition 1.1. A function f : Ω C C is complex-analytic if for each z 0 Ω there exists a power series f z0 (z) := a n (z z 0 ) n which converges

More information

Tools from Lebesgue integration

Tools from Lebesgue integration Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given

More information

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

PROBLEMS. (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 information

Chapter One. The Calderón-Zygmund Theory I: Ellipticity

Chapter 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 information

Introduction to Bases in Banach Spaces

Introduction to Bases in Banach Spaces Introduction to Bases in Banach Spaces Matt Daws June 5, 2005 Abstract We introduce the notion of Schauder bases in Banach spaces, aiming to be able to give a statement of, and make sense of, the Gowers

More information

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy Banach Spaces These notes provide an introduction to Banach spaces, which are complete normed vector spaces. For the purposes of these notes, all vector spaces are assumed to be over the real numbers.

More information

Problem List MATH 5143 Fall, 2013

Problem List MATH 5143 Fall, 2013 Problem List MATH 5143 Fall, 2013 On any problem you may use the result of any previous problem (even if you were not able to do it) and any information given in class up to the moment the problem was

More information

MORE CONSEQUENCES OF CAUCHY S THEOREM

MORE CONSEQUENCES OF CAUCHY S THEOREM MOE CONSEQUENCES OF CAUCHY S THEOEM Contents. The Mean Value Property and the Maximum-Modulus Principle 2. Morera s Theorem and some applications 3 3. The Schwarz eflection Principle 6 We have stated Cauchy

More information

ELEMENTARY PROPERTIES OF ANALYTIC FUNCTIONS OF SEVERAL VARIABLES

ELEMENTARY PROPERTIES OF ANALYTIC FUNCTIONS OF SEVERAL VARIABLES ELEMENTARY PROPERTIES OF ANALYTIC FUNCTIONS OF SEVERAL VARIABLES MARTIN TAMM. Basic Definitions Let C n denote the set of all n-tuples of compex numbers, i.e. the set of all elements z = (z, z,..., z n

More information

III. Consequences of Cauchy s Theorem

III. Consequences of Cauchy s Theorem MTH6 Complex Analysis 2009-0 Lecture Notes c Shaun Bullett 2009 III. Consequences of Cauchy s Theorem. Cauchy s formulae. Cauchy s Integral Formula Let f be holomorphic on and everywhere inside a simple

More information

Complex Variables. Cathal Ormond

Complex Variables. Cathal Ormond Complex Variables Cathal Ormond Contents 1 Introduction 3 1.1 Definition: Polar Form.............................. 3 1.2 Definition: Length................................ 3 1.3 Definitions.....................................

More information

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

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

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

Topological vectorspaces

Topological 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 information

The result above is known as the Riemann mapping theorem. We will prove it using basic theory of normal families. We start this lecture with that.

The result above is known as the Riemann mapping theorem. We will prove it using basic theory of normal families. We start this lecture with that. Lecture 15 The Riemann mapping theorem Variables MATH-GA 2451.1 Complex The point of this lecture is to prove that the unit disk can be mapped conformally onto any simply connected open set in the plane,

More information

Math 210B. Artin Rees and completions

Math 210B. Artin Rees and completions Math 210B. Artin Rees and completions 1. Definitions and an example Let A be a ring, I an ideal, and M an A-module. In class we defined the I-adic completion of M to be M = lim M/I n M. We will soon show

More information

COMPLEX ANALYSIS Spring 2014

COMPLEX ANALYSIS Spring 2014 COMPLEX ANALYSIS Spring 24 Homework 4 Solutions Exercise Do and hand in exercise, Chapter 3, p. 4. Solution. The exercise states: Show that if a

More information

Chapter 8. P-adic numbers. 8.1 Absolute values

Chapter 8. P-adic numbers. 8.1 Absolute values Chapter 8 P-adic numbers Literature: N. Koblitz, p-adic Numbers, p-adic Analysis, and Zeta-Functions, 2nd edition, Graduate Texts in Mathematics 58, Springer Verlag 1984, corrected 2nd printing 1996, Chap.

More information

Fundamental Properties of Holomorphic Functions

Fundamental Properties of Holomorphic Functions Complex Analysis Contents Chapter 1. Fundamental Properties of Holomorphic Functions 5 1. Basic definitions 5 2. Integration and Integral formulas 6 3. Some consequences of the integral formulas 8 Chapter

More information

MA3111S COMPLEX ANALYSIS I

MA3111S COMPLEX ANALYSIS I MA3111S COMPLEX ANALYSIS I 1. The Algebra of Complex Numbers A complex number is an expression of the form a + ib, where a and b are real numbers. a is called the real part of a + ib and b the imaginary

More information

Formal power series rings, inverse limits, and I-adic completions of rings

Formal power series rings, inverse limits, and I-adic completions of rings Formal power series rings, inverse limits, and I-adic completions of rings Formal semigroup rings and formal power series rings We next want to explore the notion of a (formal) power series ring in finitely

More information

COMPLEX ANALYSIS Spring 2014

COMPLEX ANALYSIS Spring 2014 COMPLEX ANALYSIS Spring 2014 1 Preliminaries Homotopical topics Our textbook slides over a little problem when discussing homotopy. The standard definition of homotopy is for not necessarily piecewise

More information

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

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

More information

Synopsis of Complex Analysis. Ryan D. Reece

Synopsis of Complex Analysis. Ryan D. Reece Synopsis of Complex Analysis Ryan D. Reece December 7, 2006 Chapter Complex Numbers. The Parts of a Complex Number A complex number, z, is an ordered pair of real numbers similar to the points in the real

More information

(z 0 ) = lim. = lim. = f. Similarly along a vertical line, we fix x = x 0 and vary y. Setting z = x 0 + iy, we get. = lim. = i f

(z 0 ) = lim. = lim. = f. Similarly along a vertical line, we fix x = x 0 and vary y. Setting z = x 0 + iy, we get. = lim. = i f . Holomorphic Harmonic Functions Basic notation. Considering C as R, with coordinates x y, z = x + iy denotes the stard complex coordinate, in the usual way. Definition.1. Let f : U C be a complex valued

More information

Part IB. Further Analysis. Year

Part IB. Further Analysis. Year Year 2004 2003 2002 2001 10 2004 2/I/4E Let τ be the topology on N consisting of the empty set and all sets X N such that N \ X is finite. Let σ be the usual topology on R, and let ρ be the topology on

More information

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers Page 1 Theorems Wednesday, May 9, 2018 12:53 AM Theorem 1.11: Greatest-Lower-Bound Property Suppose is an ordered set with the least-upper-bound property Suppose, and is bounded below be the set of lower

More information

6 Lecture 6: More constructions with Huber rings

6 Lecture 6: More constructions with Huber rings 6 Lecture 6: More constructions with Huber rings 6.1 Introduction Recall from Definition 5.2.4 that a Huber ring is a commutative topological ring A equipped with an open subring A 0, such that the subspace

More information

MORE NOTES FOR MATH 823, FALL 2007

MORE NOTES FOR MATH 823, FALL 2007 MORE NOTES FOR MATH 83, FALL 007 Prop 1.1 Prop 1. Lemma 1.3 1. The Siegel upper half space 1.1. The Siegel upper half space and its Bergman kernel. The Siegel upper half space is the domain { U n+1 z C

More information

Fourth Week: Lectures 10-12

Fourth Week: Lectures 10-12 Fourth Week: Lectures 10-12 Lecture 10 The fact that a power series p of positive radius of convergence defines a function inside its disc of convergence via substitution is something that we cannot ignore

More information

Taylor and Laurent Series

Taylor and Laurent Series Chapter 4 Taylor and Laurent Series 4.. Taylor Series 4... Taylor Series for Holomorphic Functions. In Real Analysis, the Taylor series of a given function f : R R is given by: f (x + f (x (x x + f (x

More information

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ).

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ). Connectedness 1 Motivation Connectedness is the sort of topological property that students love. Its definition is intuitive and easy to understand, and it is a powerful tool in proofs of well-known results.

More information

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5 MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5.. The Arzela-Ascoli Theorem.. The Riemann mapping theorem Let X be a metric space, and let F be a family of continuous complex-valued functions on X. We have

More information

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly

More information

Theorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u.

Theorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u. 5. Fields 5.1. Field extensions. Let F E be a subfield of the field E. We also describe this situation by saying that E is an extension field of F, and we write E/F to express this fact. If E/F is a field

More information

are Banach algebras. f(x)g(x) max Example 7.4. Similarly, A = L and A = l with the pointwise multiplication

are Banach algebras. f(x)g(x) max Example 7.4. Similarly, A = L and A = l with the pointwise multiplication 7. Banach algebras Definition 7.1. A is called a Banach algebra (with unit) if: (1) A is a Banach space; (2) There is a multiplication A A A that has the following properties: (xy)z = x(yz), (x + y)z =

More information

Solutions to Complex Analysis Prelims Ben Strasser

Solutions to Complex Analysis Prelims Ben Strasser Solutions to Complex Analysis Prelims Ben Strasser In preparation for the complex analysis prelim, I typed up solutions to some old exams. This document includes complete solutions to both exams in 23,

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

We have been going places in the car of calculus for years, but this analysis course is about how the car actually works.

We have been going places in the car of calculus for years, but this analysis course is about how the car actually works. Analysis I We have been going places in the car of calculus for years, but this analysis course is about how the car actually works. Copier s Message These notes may contain errors. In fact, they almost

More information

Factorization in Integral Domains II

Factorization in Integral Domains II Factorization in Integral Domains II 1 Statement of the main theorem Throughout these notes, unless otherwise specified, R is a UFD with field of quotients F. The main examples will be R = Z, F = Q, and

More information

Chapter 1: Banach Spaces

Chapter 1: Banach Spaces 321 2008 09 Chapter 1: Banach Spaces The main motivation for functional analysis was probably the desire to understand solutions of differential equations. As with other contexts (such as linear algebra

More information

A VERY BRIEF REVIEW OF MEASURE THEORY

A VERY BRIEF REVIEW OF MEASURE THEORY A VERY BRIEF REVIEW OF MEASURE THEORY A brief philosophical discussion. Measure theory, as much as any branch of mathematics, is an area where it is important to be acquainted with the basic notions and

More information

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................

More information

Lebesgue Measure on R n

Lebesgue Measure on R n CHAPTER 2 Lebesgue Measure on R n Our goal is to construct a notion of the volume, or Lebesgue measure, of rather general subsets of R n that reduces to the usual volume of elementary geometrical sets

More information

Class Notes for MATH 255.

Class Notes for MATH 255. Class Notes for MATH 255. by S. W. Drury Copyright c 2006, by S. W. Drury. Contents 0 LimSup and LimInf Metric Spaces and Analysis in Several Variables 6. Metric Spaces........................... 6.2 Normed

More information

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures 2 1 Borel Regular Measures We now state and prove an important regularity property of Borel regular outer measures: Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon

More information

Department of Mathematics, University of California, Berkeley. GRADUATE PRELIMINARY EXAMINATION, Part A Fall Semester 2016

Department of Mathematics, University of California, Berkeley. GRADUATE PRELIMINARY EXAMINATION, Part A Fall Semester 2016 Department of Mathematics, University of California, Berkeley YOUR 1 OR 2 DIGIT EXAM NUMBER GRADUATE PRELIMINARY EXAMINATION, Part A Fall Semester 2016 1. Please write your 1- or 2-digit exam number on

More information

Continuity. Chapter 4

Continuity. Chapter 4 Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of

More information

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial.

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial. Lecture 3 Usual complex functions MATH-GA 245.00 Complex Variables Polynomials. Construction f : z z is analytic on all of C since its real and imaginary parts satisfy the Cauchy-Riemann relations and

More information

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

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

More information

Garrett: `Bernstein's analytic continuation of complex powers' 2 Let f be a polynomial in x 1 ; : : : ; x n with real coecients. For complex s, let f

Garrett: `Bernstein's analytic continuation of complex powers' 2 Let f be a polynomial in x 1 ; : : : ; x n with real coecients. For complex s, let f 1 Bernstein's analytic continuation of complex powers c1995, Paul Garrett, garrettmath.umn.edu version January 27, 1998 Analytic continuation of distributions Statement of the theorems on analytic continuation

More information

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

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

More information

Chapter 2 Convex Analysis

Chapter 2 Convex Analysis Chapter 2 Convex Analysis The theory of nonsmooth analysis is based on convex analysis. Thus, we start this chapter by giving basic concepts and results of convexity (for further readings see also [202,

More information

Continuous Functions on Metric Spaces

Continuous Functions on Metric Spaces Continuous Functions on Metric Spaces Math 201A, Fall 2016 1 Continuous functions Definition 1. Let (X, d X ) and (Y, d Y ) be metric spaces. A function f : X Y is continuous at a X if for every ɛ > 0

More information

Metric Spaces Lecture 17

Metric Spaces Lecture 17 Metric Spaces Lecture 17 Homeomorphisms At the end of last lecture an example was given of a bijective continuous function f such that f 1 is not continuous. For another example, consider the sets T =

More information

(1) A frac = b : a, b A, b 0. We can define addition and multiplication of fractions as we normally would. a b + c d

(1) A frac = b : a, b A, b 0. We can define addition and multiplication of fractions as we normally would. a b + c d The Algebraic Method 0.1. Integral Domains. Emmy Noether and others quickly realized that the classical algebraic number theory of Dedekind could be abstracted completely. In particular, rings of integers

More information

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

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

More information

Bernstein s analytic continuation of complex powers

Bernstein s analytic continuation of complex powers (April 3, 20) Bernstein s analytic continuation of complex powers Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/. Analytic continuation of distributions 2. Statement of the theorems

More information

Math 117: Topology of the Real Numbers

Math 117: Topology of the Real Numbers Math 117: Topology of the Real Numbers John Douglas Moore November 10, 2008 The goal of these notes is to highlight the most important topics presented in Chapter 3 of the text [1] and to provide a few

More information

Pervasive Function Spaces

Pervasive Function Spaces Anthony G. O Farrell http://www.maths.may.ie/staff/aof/ Bȩndlewo, 23-7-2009 Anthony G. O Farrell http://www.maths.may.ie/staff/aof/ Bȩndlewo, 23-7-2009 Joint with I. Netuka (Prague) and M.A. Sanabria (La

More information

(convex combination!). Use convexity of f and multiply by the common denominator to get. Interchanging the role of x and y, we obtain that f is ( 2M ε

(convex combination!). Use convexity of f and multiply by the common denominator to get. Interchanging the role of x and y, we obtain that f is ( 2M ε 1. Continuity of convex functions in normed spaces In this chapter, we consider continuity properties of real-valued convex functions defined on open convex sets in normed spaces. Recall that every infinitedimensional

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX Chapter 1. Metric Spaces 1. Definition and Examples. As the course progresses we will need to review some basic notions about

More information

MATH 566 LECTURE NOTES 6: NORMAL FAMILIES AND THE THEOREMS OF PICARD

MATH 566 LECTURE NOTES 6: NORMAL FAMILIES AND THE THEOREMS OF PICARD MATH 566 LECTURE NOTES 6: NORMAL FAMILIES AND THE THEOREMS OF PICARD TSOGTGEREL GANTUMUR 1. Introduction Suppose that we want to solve the equation f(z) = β where f is a nonconstant entire function and

More information

Math 341: Convex Geometry. Xi Chen

Math 341: Convex Geometry. Xi Chen Math 341: Convex Geometry Xi Chen 479 Central Academic Building, University of Alberta, Edmonton, Alberta T6G 2G1, CANADA E-mail address: xichen@math.ualberta.ca CHAPTER 1 Basics 1. Euclidean Geometry

More information

2 Sequences, Continuity, and Limits

2 Sequences, Continuity, and Limits 2 Sequences, Continuity, and Limits In this chapter, we introduce the fundamental notions of continuity and limit of a real-valued function of two variables. As in ACICARA, the definitions as well as proofs

More information

Proof. We indicate by α, β (finite or not) the end-points of I and call

Proof. We indicate by α, β (finite or not) the end-points of I and call C.6 Continuous functions Pag. 111 Proof of Corollary 4.25 Corollary 4.25 Let f be continuous on the interval I and suppose it admits non-zero its (finite or infinite) that are different in sign for x tending

More information

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

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

More information

10. Smooth Varieties. 82 Andreas Gathmann

10. Smooth Varieties. 82 Andreas Gathmann 82 Andreas Gathmann 10. Smooth Varieties Let a be a point on a variety X. In the last chapter we have introduced the tangent cone C a X as a way to study X locally around a (see Construction 9.20). It

More information

Introduction to Real Analysis

Introduction to Real Analysis Christopher Heil Introduction to Real Analysis Chapter 0 Online Expanded Chapter on Notation and Preliminaries Last Updated: January 9, 2018 c 2018 by Christopher Heil Chapter 0 Notation and Preliminaries:

More information

Complex Analysis Homework 9: Solutions

Complex Analysis Homework 9: Solutions Complex Analysis Fall 2007 Homework 9: Solutions 3..4 (a) Let z C \ {ni : n Z}. Then /(n 2 + z 2 ) n /n 2 n 2 n n 2 + z 2. According to the it comparison test from calculus, the series n 2 + z 2 converges

More information

Chapter 4: Open mapping theorem, removable singularities

Chapter 4: Open mapping theorem, removable singularities Chapter 4: Open mapping theorem, removable singularities Course 44, 2003 04 February 9, 2004 Theorem 4. (Laurent expansion) Let f : G C be analytic on an open G C be open that contains a nonempty annulus

More information

1.3.1 Definition and Basic Properties of Convolution

1.3.1 Definition and Basic Properties of Convolution 1.3 Convolution 15 1.3 Convolution Since L 1 (R) is a Banach space, we know that it has many useful properties. In particular the operations of addition and scalar multiplication are continuous. However,

More information

(x 1, y 1 ) = (x 2, y 2 ) if and only if x 1 = x 2 and y 1 = y 2.

(x 1, y 1 ) = (x 2, y 2 ) if and only if x 1 = x 2 and y 1 = y 2. 1. Complex numbers A complex number z is defined as an ordered pair z = (x, y), where x and y are a pair of real numbers. In usual notation, we write z = x + iy, where i is a symbol. The operations of

More information

NOTES ON FRAMES. Damir Bakić University of Zagreb. June 6, 2017

NOTES ON FRAMES. Damir Bakić University of Zagreb. June 6, 2017 NOTES ON FRAMES Damir Bakić University of Zagreb June 6, 017 Contents 1 Unconditional convergence, Riesz bases, and Bessel sequences 1 1.1 Unconditional convergence of series in Banach spaces...............

More information

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

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

More information

Functional Analysis. Thierry De Pauw

Functional Analysis. Thierry De Pauw Functional Analysis Thierry De Pauw The drawing on the front is c Courtney Gibbons brownsharpie.courtneygibbons.org 1 Contents 1 Preliminaries 4 1.1 Countability.............................. 4 1.2 Metric

More information

MAA6617 COURSE NOTES SPRING 2014

MAA6617 COURSE NOTES SPRING 2014 MAA6617 COURSE NOTES SPRING 2014 19. Normed vector spaces Let X be a vector space over a field K (in this course we always have either K = R or K = C). Definition 19.1. A norm on X is a function : X K

More information

Chapter Four Gelfond s Solution of Hilbert s Seventh Problem (Revised January 2, 2011)

Chapter Four Gelfond s Solution of Hilbert s Seventh Problem (Revised January 2, 2011) Chapter Four Gelfond s Solution of Hilbert s Seventh Problem (Revised January 2, 2011) Before we consider Gelfond s, and then Schneider s, complete solutions to Hilbert s seventh problem let s look back

More information

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018

EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 EXPOSITORY NOTES ON DISTRIBUTION THEORY, FALL 2018 While these notes are under construction, I expect there will be many typos. The main reference for this is volume 1 of Hörmander, The analysis of liner

More information

Continuity. Chapter 4

Continuity. Chapter 4 Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of

More information

F (z) =f(z). f(z) = a n (z z 0 ) n. F (z) = a n (z z 0 ) n

F (z) =f(z). f(z) = a n (z z 0 ) n. F (z) = a n (z z 0 ) n 6 Chapter 2. CAUCHY S THEOREM AND ITS APPLICATIONS Theorem 5.6 (Schwarz reflection principle) Suppose that f is a holomorphic function in Ω + that extends continuously to I and such that f is real-valued

More information

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

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

More information

Chapter IV Integration Theory

Chapter IV Integration Theory Chapter IV Integration Theory This chapter is devoted to the developement of integration theory. The main motivation is to extend the Riemann integral calculus to larger types of functions, thus leading

More information

WEIERSTRASS THEOREMS AND RINGS OF HOLOMORPHIC FUNCTIONS

WEIERSTRASS THEOREMS AND RINGS OF HOLOMORPHIC FUNCTIONS WEIERSTRASS THEOREMS AND RINGS OF HOLOMORPHIC FUNCTIONS YIFEI ZHAO Contents. The Weierstrass factorization theorem 2. The Weierstrass preparation theorem 6 3. The Weierstrass division theorem 8 References

More information

Polynomial Harmonic Decompositions

Polynomial Harmonic Decompositions DOI: 10.1515/auom-2017-0002 An. Şt. Univ. Ovidius Constanţa Vol. 25(1),2017, 25 32 Polynomial Harmonic Decompositions Nicolae Anghel Abstract For real polynomials in two indeterminates a classical polynomial

More information

Lecture 7 Local properties of analytic functions Part 1 MATH-GA Complex Variables

Lecture 7 Local properties of analytic functions Part 1 MATH-GA Complex Variables Lecture 7 Local properties of analytic functions Part 1 MATH-GA 2451.001 omplex Variables 1 Removable singularities 1.1 Riemann s removable singularity theorem We have said that auchy s integral formula

More information

Isomorphisms between pattern classes

Isomorphisms between pattern classes Journal of Combinatorics olume 0, Number 0, 1 8, 0000 Isomorphisms between pattern classes M. H. Albert, M. D. Atkinson and Anders Claesson Isomorphisms φ : A B between pattern classes are considered.

More information