NULL SETS FOR DOUBLING AND DYADIC DOUBLING MEASURES

Size: px
Start display at page:

Download "NULL SETS FOR DOUBLING AND DYADIC DOUBLING MEASURES"

Transcription

1 Annales Academiæ Scientiarum Fennicæ Series A. I. Mathematica Volumen NULL SETS FOR DOUBLING AND DYADIC DOUBLING MEASURES Jang-Mei Wu University of Illinois at Urbana-Champaign Department of Mathematics 73 Altgeld Hall MC West Green Street Urbana IL U.S.A. Abstract. In this note we study sets on the real line which are null with respect to all doubling measures on R or with respect to all dyadic doubling measures on R. We give some sufficient conditions for the former a test for the latter some examples. Our wor is motivated by a characterization of dyadic doubling measures by Fefferman Kenig Pipher [5] by a result of Martio [8] on porous sets sets of total A -harmonic measure zero for certain class of nonlinear A -operators. A measure µ on R is said to have the doubling property with constant λ if whenever I J are two neighboring intervals of same length then µi λµj; denote by Dλ the collection of all doubling measures with constant λ D = λ 1 Dλ. A measure µ on R has the dyadic doubling property with constant λ if µi λµj whenever I J are two dyadic neighboring intervals of same length I J is also a dyadic interval; denote by D d λ D d the corresponding collections of dyadic doubling measures. Given {a n } 0 < α n < 1 a set E R is called {α n }-porous if there exists a sequence of coverings E n = {E nj } of E by intervals with mutually disjoint interiors so that each E nj \ E contains an interval J nj of length α n E nj En+1 E n+1 is contained in En E nj \ J nj sup E nj 0 as n. The Cantor ternary set is { 1 3 }-porous. The porous sets studied by Martio [8] are {α}-porous for some α > 0. 1 αk n Theorem 1. If 0 < α n < 1 = for all K 1 E is {α n }-prorous then E is null for all doubling measures on R. Corollary. There exist sets of Hausdorff dimension one which are null for all doubling measures. The condition given in Theorem 1 cannot be improved: Theorem. If 0 < α n < 1 4 is a decreasing sequence satisfying n αk n < for some K 1 then there exists a perfect set which is {α n }-porous but carries a positive measure for some µ D Mathematics Subject Classification: Primary 8A1. Research partially supported by the National Science Foundation.

2 78 Jang-Mei Wu Let E be a closed set in [0 1] λ > 1. In Theorem 3 we give a deterministic procedure of testing whether E is D d λ-null. In this process an optimal measure µ Eλ among D d λ is selected for E. The precise statement is given in Section. Denote by N the collection of null sets for doubling measures { E : µe = 0 for all µ D } N d its dyadic counterpart { E : µe = 0 for all µ D d }. Clearly N d N N is translation invariant. The assertion that N d N is not suprising however it requires a lot of wor. Theorem 4. There exists a perfect set S [0 1] which is in N \ N d. And corresponding to this S there exists a set T of dimension one so that t+s N d for each t T. It would be interesting to now whether a pair of sets S T can be chosen to satisfy length T > 0 in addition to the properties in Theorem 4. Theorem 5. Let t be any number whose binary expansion has infinitely many zeros infinitely many ones. Then there exists a perfect set S t so that S t N \ N d but t + S t N d. Finally in Section 4 we shall comment on relations betwen sets in N null sets of the harmonic measures with respect to the p-laplacians in the upper half plane. The author would lie to than A. Hinanen for his joint contribution on Theorem 1 R. Kaufman for many conversations. We first state a useful lemma. 1. Proofs of Theorems 1 Lemma 1. Let µ be a dyadic doubling measure on [0 1] I be any subinterval. Then there exists K > 1 depending on the dyadic doubling constant λ only so that 4 I 1/K µ [0 1] µi 1 4 I K µ [0 1]. Proof. Let I 1 I be two adjacent dyadic closed intervals in [0 1] such that I I 1 I I I 1 + I. Then µi µi 1 + µi λ log I 1 λ log I + µ [0 1] 1 + λ 1 + λ I log 1+λ/λ µ [0 1] 4 I log 1+λ/λ µ [0 1]. If I 1 16 log 1+λ/λ 1 A

3 then Null sets for doubling dyadic doubling measures 79 µ [0 1] \ I 8 1 I log 1+λ/λ µ [0 1] 1 µ [0 1]. Hence µi 1 µ [0 1]. If I < A let J be the largest dyadic interval contained in I. Therefore J I /4 µi µj 1 log J log 1+λ µ [0 1] I /4 µ [0 1] 1 + λ µ [0 1] I log 1+λ1 log A 1. Proof of Theorem 1. Assume E [0 1] let E n = {E nj } be the coverings of E {J nj } be the subintervals of E nj \ E in defining {α n }-porosity. Let µ D it follows from Lemma 1 that µj nj 1 4 αk n µe nj for some K 1 depending on µ only. Thus µe nj \ J nj αk n µe nj. Summing over j we obtain µe n αk n j µe nj. Therefore µe n αk n µ [0 1] = 0. Proof of Theorem. Let N n be a rapidly increasing sequence of odd integers with N 1 = 1 N n α 1 n 1 for n. After replacing α n by a number which is at most twice its size we may assume that α n = m n Nn+1 1 for some odd integer m n. The construction of E resembles that of the Cantor set. First we remove the open interval which constitutes the middle α 1 position of [0 1] subdivide the two remaining closed intervals into subintervals of equal length N 1 call this collection of subintervals S 1. This subdivision is possible due to the modification on α n s. On each interval in S 1 remove the open interval which constitutes its middle α portion subdivide the remaining intervals into subintervals of equal length N N 3 1 call this new collection of subintervals S. Continue the process indefinitely let E = n I S n I Clearly E is {α n }-porous. It remains to choose N n so that µe > 0 for some µ D. Our idea comes from Ahlfors Beurling [; Theorem 3]. First we construct a function h which plays the role of 1 + λcosine in []..

4 80 Jang-Mei Wu Lemma. Given 0 < α < 1 4 K > there exists a function h continuous on R of period 1 monotonic in [0 1 ] in [1 1] respectively which satisfies hx dx = hx = { α K 1 on [ 1 1 α α] 1 + α on [0 1 α] [ 1 + α 1] hx dx is in DB K for some absolute constant B >. As an example we may choose on piecewise linear on hx = α K 1 + α K x 1 + α K 1 [ 1 + α 1 + α [ 1 + α + α 4 + α 4 K 1/4K 1 ] K 1/4K ] α with derivatives between 1/4 α 4/ α hx = h1 x for x in [ 1 α 1 1 α] so that the continuity monotonicity 1 hx dx = 1 are 0 satisfied. For this h h dx DB for some absolute constant B >. In the hypothesis α K n < we may assume K >. Corresponding to each pair α n K we fix a function h n which satisfies properties in Lemma with α = α n. Denote by A n = F = = I S I M n = [ α n] [ α n + 1] n N f n x = 1 n h M x. We shall choose N n inductively so that N n+1 N n that f n x is nearly constant on each interval of length M 1 n+1. Recall that N 1 = 1 assume that odd integers N N 3... N n have been chosen so that 1.1 F f x dx 1 α K j 1 n j=1 1

5 Null sets for doubling dyadic doubling measures 81 whenever x x M 1 n < h 1 M 1 x/h 1 M 1 x < < f 1 x/f 1 x < + 1. Note that 1 0 h x dx = 1 [01] A h x dx = 1 α K that f x is uniformly continuous on R for each 1. Let F [0 1] be any measurable set. Then χ F f n is the pointwise a.e. L 1 limit of an increasing sequence of simple functions each of which has the form a j χ Ij where {a j } are constants {I j } are finitely many mutually disjoint open intervals with rational end points. Therefore 1 χ F xf n xχ An+1 Mxh n+1 Mx dx 1 α K n+1 f n x dx 0 as M. Thus a large odd integer N n+1 can be found so that N n+1 > α 1 n hold with = n + 1. Here we have used the fact that F n+1 = {x F n : M n+1 x A n+1 }. Let µ be a wea limit point of f n x dx. Then µe > 0 in view of 1.1 α K n <. To verify that µ is a doubling measure we consider two neighboring intervals I I satisfying In view of 1.3 n 1 M 1 n+1 I = I M 1 n. n f n 1 x n + 1 f n 1 x n whenever x I x I. We note that f m x/f n x has period Mn+1 1 if m n + 1 that n n + 1 < h nm n x h n M n x < n + n + 1 whenever x x M 1 n+1. Writing f m x = f n 1 xh n M n x f mx for m n + 1 f n x we deduce from the fact h n M n x dx DB K that / CB K 1 f m x dx f m x dx CB K I I for every m n + 1. Therefore µ D. F

6 8 Jang-Mei Wu. A test for D d λ-null sets Given a closed set E in [0 1] we shall develop a procedure to test whether E is in D d λ for some λ > 1. Let I nj 1 j n be the dyadic closed intervals in [0 1] of length n Inj r be the closed interval which forms the right half of I nj let Inj l = I nj \ Inj r. Let 1 on Inj r h nj x = 1 on Inj l 0 on R \ I nj. For a fixed integer n define dν n n f n n n j=1 1 + δn jτhnj f n n dx where τ = λ 1/λ + 1 δn j = { 1 E I r nj 1 E Inj r =. Denote by E n = { I n+1j : I n+1j E 1 j n+1}. Let dν n n 1 fn n 1 dνn n δn 1 j = n 1 f n n 1 where j=1 1 + δn 1 jτhn 1j { n 1 ν n In 1 r E n ν n n In 1 l E n 1 otherwise. After defining f n dν n we let dν n 1 fn 1 dνn 1 f n 1 where j=1 1 + δ 1 jτh 1j { n δ 1 j = 1 ν Ir 1j E n ν n Il 1j E n 1 otherwise.

7 Null sets for doubling dyadic doubling measures 83 Continue this process until we arrive at ν n 1. Define µ n ν n 1. Notice that.1 ν n I j = 1 n with the understing that I 0j I 01 [0 1]; that from dν n to dν n 1 total measure in each I 1i is ept unchanged but the total measures of I 1i r I 1i l are redistributed in the most advantageous way. Repeat for each n to obtain a sequence of measures {µ n }. Let µ Eλ be a wea limit point of {µ n } extended to R with period 1. Theorem 3. Among all the measures in D d λ which have mass one on [0 1] µ Eλ has the maximum measure on E. In particular E is D d λ-null if only if µ Eλ E = 0. Proof. It is clear that µ Eλ [0 1] = 1 µeλ D d λ. Let ω be any measure in D d λ with ω [0 1] = 1. We claim in fact that. ωe n µ n E n. Let m be the largest integer in [1 n] if it exists such that there exists at least one interval I mj on which.3 ωimj r ωimj l µ nimj r µ n Imj l. If such m does not exist then ωe n = µ n E n. We shall redistribute the measure ω on these I mj s eep ω unchanged elsewhere. Denote by I m = {I mj :.3 holds on I mj }; let ω m = ω on [0 1] \ Im I mj ωi mj µ n Imj r ωimj r.4 dω m = µ ni mj dω on Ir mj ωi mj µ n Imj l ωimj l µ ni mj dω on Il mj for each I mj I m. Clearly if I mj I m then ω m I r mj ω m I l mj = µ ni r mj µ n I l mj ω m is dyadic on I mj with constant λ. Actually ω m is in D d λ by the following lemma.

8 84 Jang-Mei Wu Lemma 3. Let I be a dyadic subinterval of [0 1] µ ν be dyadic doubling measures on [0 1] I respectively satisfying µi = νi. Then the new measure ω defined by ω ν on I µ on [0 1] \ I is dyadic doubling on [0 1] with constant bounded by the maximum of those of µ ν. First we shall verify that ωe n ω m E n. To show this it is enough to prove.5 ωe n I mj ω m E n I mj for each I mj I m. Fix I mj I m clearly.5 holds when m = n. Thus we assume m < n note from the definition of m that for m + 1 n. Therefore ωii r ωi i = µ nii r µ n I i ωii l ωi i = µ nii l µ n I i Moreover from the construction of µ n.6 ωimj r E n ωimj r = µ nimj r E n µ n Imj r ωi l mj E n ωi l mj = µ ni l mj E n µ n I l mj. µ n I n+1l µ n I i = νn I n+1l ν n I i if 1 n I n+1l I i. Thus by.1 the above identities.7 ωi r mj E n ωi r mj = ν n m+1 Ir mj E n m+1.8 ωi l mj E n ωi l mj = ν n m+1 Il mj E n m+1. Writing I in place of I mj for the rest of this paragraph we obtain [ ωen I r ωi r ωe n I = ωi r ωi + ωe n I l ωi l ] ωi ωi l ωi [ = m+1 ωi ν n m+1 E n I r ωir ωi + νn m+1 E n I l ωil ] ωi m+1 ωi ν n m+1 E n I r A + ν n m+1 E n I l 1 A

9 Null sets for doubling dyadic doubling measures 85 where A = 1 1+τ if νn m+1 E n I r ν n m+1 E n I l A = 1 1 τ otherwise. From the definition of ν m n it follows that [ ωe n I m+1 ωi ν n m+1 E n I r νn m I r ν n m I + νn [ ωen I r µ n I r = ωi ωi r µ n I + ωe n I l ωi l This proves.5 hence ωe n ω m E n. m+1 En I l νn m I l ] ν m n I µ n I l ] = ω m E n I. µ n I We proceed to mae modifications of ω m on each dyadic interval I m 1i of size m+1 on which.3 holds with m j ω replaced by m 1 i ω m respectively according to the rule.4 adapted for m 1 i ω m ; call this new measure ω m 1. Continue to modify ω m 1 on dyadic intervals of size m+ if necessary to obtain ω m.... Finally we arrive at a measure ω 1 obtain ωe n ω m E n ω m 1 E n ω 1 E n ω 1 Imj r ω 1 Imj l = µ nimj r µ n Imj l for all 1 m n 1 j m. Therefore ω 1 E n = µ n E n. is proved. We note that E = m E m. Therefore for any ε > 0 sufficiently large m n with m > mε n > nε m we have µ Eλ E µ Eλ E m ε µ n E m ε µ n E n ε This shows that ωe µ Eλ E. ωe n ε ωe ε. 3. Proofs of Theorems 4 5 Given a ε δ 0 1 εa < δ < ε we choose a sequence of integers {n } satisfying n n n+1 > n + [εlog ]. For + [ 1/δ ] 0 j n 1 denote by [ j L j = [ j I j = n n j n j + 1 ] n + 1 n δ ]

10 86 Jang-Mei Wu [ j + 1 J j = n 1 j + 1 ] n ε n where δ = [δ log ] ε = [εlog ] [ ] is the greatest integer function. Note that intervals L s I s J s are dyadic 3. J j / I j = O δ ε = o1 as 3.3 J j / L +1j = n +1 n [εlog ] >. The construction of a set S N \N d is similar to the Cantor set; collections of nested intervals from {J j } are used. The measure µ in D d to be produced with µs > 0 will satisfy µj j µl j = Jj a L j on infinitely many J j s. Let {K i } be an increasing sequence of integers with K 0 +[ 1/δ ] some other properties to be specified later. Let S 0 = [0 1] C1+K I 0 be the collection of all I 1+K0 j S 0 C1+K J 0 be the collection of all J 1+K0 j S 0. After C I C J have been defined for some 1 + K 0 K 1 1 we let C+1 I = C I { } I +1j S 0 : I +1j is not contained in any interval in C I C J C+1 J = C J { J +1j S 0 : J +1j is not contained in any interval in C I C J } ; let S I 1 = union of all intervals in C I K 1 S 1 = union of all intervals in C J K 1. Next let C1+K I 1 be the collection of all I 1+K1 j S 1 C1+K J 1 be the collection of all J 1+K1 j S 1. And define for each 1 + K 1 K 1 CK+1 I = C I { } I +1j S 1 : I +1j is not contained in any interval in C I C J CK+1 J = C J { J +1j S 1 : J +1j is not contained in any interval in C I C J } S I = union of all intervals in C I K S = union of all intervals in C J K. Clearly S I S 1 S S 1. Continue this procedure to obtain CK I 3 CK J 3 S3 I S 3... so on let S = S m. 1 To construct µ D d with µs > 0 we shall use scale invariant versions of Lemma 3 the following lemma repeatedly.

11 Null sets for doubling dyadic doubling measures 87 Lemma 4. Given a α β 0 1 with α a + β < 1/16 c 1 c 1 there exists a measure µ D d 10 1/a which satisfies µ [0 1] = 1 µ [0 α] = c 1 α a µ [1 β 1] = c β. As an example we may choose µ [0 t] c 1 t a 0 t t 0 1 1/a 8 = 1 8 c c 1 + c t t 0 / 7 8 t 0 t 0 t c t + 1 c 8 t 1. Then extend µ periodically to R with period 1. All measures µ defined below are periodic with period 1. Choose µ 1+K0 D d 10 1/a so that µ 1+K0 L 1+K0 j = L 1+K0 j µ 1+K0 I 1+K0 j = L 1+K0 j 1 + K 0 δ µ 1+K0 J 1+K0 j = L 1+K0 j 1 + K 0 εa for each 0 j 1+K 0 1. After µ is selected for some 1 + K 0 K 1 we choose µ +1 D d 10 1/a so that µ +1 = µ on each interval in C I C J µ +1 is a redistribution of µ on each L +1j which is not contained in any interval in C I C J : 3.4 µ +1 L +1j = µ L +1j 3.5 µ +1 I +1j = 1 + δ µ +1 L +1j 3.6 µ +1 J +1j = 1 + εa µ +1 L +1j. The measure µ K1 so chosen has the properties that because εa < δ. µ K1 S I 1 S 1 = 1 K 1 1+K 0 1 εa δ µ K1 S 1 µ K1 S1 I S εa 1 inf 1+K 0 K 1 εa + δ 1 K 1 1 εa 1 K0 εa δ 1+K 0

12 88 Jang-Mei Wu Next choose µ 1+K1 D d 10 1/a so that µ 1+K1 = µ K1 on S 0 \ S 1 on each L 1+K1 j S 1 it is a redistribution of µ K1 satisfying with = K 1. After µ is constructed for some 1 + K 1 < K build µ +1 from µ following the same steps as in the case 1 + K 0 K 1. The dyadic doubling measure µ K so obtained belongs to D d 10 1/a moreover µ K S I S = 1 µ K S µ K S I S εa inf 1+K 1 K εa + δ µ K S I S 1 K εa δ 1 1 K 1 1 εa 1 1+K 0 K 1 εa δ µ K1 S 1 1+K 1 K 1 εa 1+K 1 1 K0 εa δ 1 K1 εa δ. Whenever µ Km is constructed eep µ 1+Km = µ Km on S 0 \ S m redistribute the mass on each L 1+Km j S m according to with = K m eep the dyadic doubling constant bounded by 10 1/a. Continue this indefinitely. Thus we obtain a sequence of measures µ Km D d 10 1/a with µ Km [0 1] = 1 µ Km S m m 1 i=0 1 K εa i δ1 A i where A i = K 1+i 1+K i 1 εa. Let µ be a wea limit point of {µ Km }. Clearly µ D d 10 1/a. Since εa < 1 it is possible to choose {K i } so that 3.7 i=1 K εa δ i + A i < +. i=1 With respect to this choice of {K i } we have µs > 0 hence µ N d. It remains to show that S N. Let ν D. Recall that J j I j+1 have the common boundary point j + 1/ n ; by the doubling property νj j I j+1 A ε δlog 5 νj j for some A > 1 depending only on the doubling constant of ν. For m intervals in C J K m {I j+1 : J j C J K m } C J K m C I K m may meet in their

13 Null sets for doubling dyadic doubling measures 89 interiors; however because of 3.3 every point in [0 1] is covered by at most three such intervals. Therefore 3ν [0 1] νj j I j+1 A ε δlog Km 1 5 νs m J j C J Km A ε δlog K m 1 5 νs. Hence νs = 0. Therefore S N \ N d. Let { T = t = t n n where t n = 0 or 1 n=1 but t n +[δ log ]+1 = 1 t n +[δ log ]+ = 0 for each integer > K 0 }. In view of 3.1 it has Hausdorff dimension 1. Fix t T ν D d let J j be any interval in C J K m. We note that p + 1 < t + j + 1 n δ n for some integer p because < p n δ q + 1 < tn δ < q for some integer q. Therefore t + J j is contained in the middle half of some dyadic interval [ p M j = p + 1 ]. n δ n δ Recall that the interval I j+1 shares an end point j + 1/ n with J j has length 1/ n δ. Therefore t + Ij+1 M j > n δ The dyadic doubling property of ν 3. Lemma 1 ν t + J j I j+1 M j c ννt + Jj with c ν as. Summing over all J j in CK J m before we obtain 3ν [0 1] ck m 1 ννt + S m ck m 1 ννt + S. reasoning as Letting m we have νt + S = 0. This completes the proof of Theorem 4. It would be interesting to characterize those t s so that t + S is in N d. However this seems difficult.

14 90 Jang-Mei Wu To prove Theorem 5 we note that in the binary expansion of t the event that a digit 1 is followed immediately by a digit 0 occurs infinitely often. Choose ε δ a as in Theorem 4 {n } depending on t so that 3.1 t n +[δ log ]+1 = 1 t n +[δ log ]+ = 0 hold for each > 0. Let S t S in Theorem 4 associated with this sequence {n }. Then S t N \ N d. The proof of t + S t N d is similar to that in Theorem Null sets for p-harmonic measures Consider the p-laplace equation 1 < p < div u p u = 0 in the half plane Ω {x R : x > 0}. For the definition properties of p-harmonic measure the harmonic measure for p-laplacian see [6; Chapter 10]. Let E be a compact set on Ω which has positive p-harmonic measure for some p. Then there exists a nonconstant solution u 0 u 1 of the p- Laplacian in Ω with continuous boundary value 0 on Ω \ E. Following [1] we may apply a linearization technique in [7] or an approximation technique in [4] Theorem 4.5 in [3] to write ux = Kx yfy dωy Ω where K is a limit of ernel functions ω is a wea limit of harmonic measures at a fixed point corresponding to a sequence of uniformly elliptic operators of nondivergence form in Ω with ellipticity constants depending only on p. Moreover ω has the doubling property u has nontangential limit on Ω ω-a.e. Because u has zero boundary value on Ω \ E fy dωy is supported in E. This implies that ωe > 0. Therefore we have Theorem 6. Compact sets in N are null sets for any p-harmonic measure with respect to the half plane {x R : x > 0}. Remar. Martio has defined a version of porosity proved that a porous set on {x = 0} has zero A -harmonic measure with respect to all those nonlinear operators A on {x > 0} considered in [8]; p-laplacians are examples of such operators. We do not now whether Theorem 6 can be extended to all such A -operators. However a compact set E on {x = 0} is A -harmonic measure null for all such A if it satisfies a stronger {a n }-porous condition for some {a n } α K n = for all K > 1 namely in defining {a n }-porosity E E nj is required to lie in the middle 1 α n portion of E nj for each n j. Proof follows by combining the original proof of Martio that of Theorem 1.

15 Null sets for doubling dyadic doubling measures 91 References [1] Avilés P. J. Manfredi: On null sets of p-harmonic measures. - Preprint. [] Beurling A. L. Ahlfors: The boundary correspondence under quasiconformal mappings. - Acta Math [3] Carffarelli L. E. Fabes S. Mortola S. Salsa: Boundary behavior on nongative solutions of elliptic operators in divergence form. - Indiana Univ. Math. J [4] Fabes E. N. Garofalo S. Marín-Malave S. Salsa: Potential theory Fatou theorems for some nonlinear elliptic operators. - Rev. Mat. Iberoamericana [5] Fefferman R.A. C.E. Kenig J. Pipher: The theory of weights the Dirichlet problem for elliptic equations. - Ann. Math [6] Heinonen J. J. Kilpeläinen O. Martio: Nonlinear potential theory of solutions of degenerate elliptic equations. - Oxford University Press to appear. [7] Manfredi J. A. Weitsman: On the Fatou-theorem for p-harmonic functions. - Comm. Partial Differential Equations 13: [8] Martio O.: Harmonic measures for second order nonlinear partial differential equations. - In: Function spaces differential operators nonlinear analysis L. Päivärinta editor Longman Scientific Technical Publishers Received 17 December 1991

p-harmonic MEASURE IS NOT SUBADDITIVE

p-harmonic MEASURE IS NOT SUBADDITIVE p-harmonic MEASURE IS NOT SUBADDITIVE JOSÉ G. LLORENTE, JUAN J. MANFREDI, AND JANG-MEI WU Dedicated to the memory of Tom Wolff. Without his work this note would not have been possible. Abstract. When 1

More information

HIGHER INTEGRABILITY WITH WEIGHTS

HIGHER INTEGRABILITY WITH WEIGHTS Annales Academiæ Scientiarum Fennicæ Series A. I. Mathematica Volumen 19, 1994, 355 366 HIGHER INTEGRABILITY WITH WEIGHTS Juha Kinnunen University of Jyväskylä, Department of Mathematics P.O. Box 35, SF-4351

More information

Chapter 6. Integration. 1. Integrals of Nonnegative Functions. a j µ(e j ) (ca j )µ(e j ) = c X. and ψ =

Chapter 6. Integration. 1. Integrals of Nonnegative Functions. a j µ(e j ) (ca j )µ(e j ) = c X. and ψ = Chapter 6. Integration 1. Integrals of Nonnegative Functions Let (, S, µ) be a measure space. We denote by L + the set of all measurable functions from to [0, ]. Let φ be a simple function in L +. Suppose

More information

FAT AND THIN SETS FOR DOUBLING MEASURES IN EUCLIDEAN SPACE

FAT AND THIN SETS FOR DOUBLING MEASURES IN EUCLIDEAN SPACE Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 38, 2013, 535 546 FAT AND THIN SETS FOR DOUBLING MEASURES IN EUCLIDEAN SPACE Wen Wang, Shengyou Wen and Zhi-Ying Wen Yunnan University, Department

More information

Math 172 HW 1 Solutions

Math 172 HW 1 Solutions Math 172 HW 1 Solutions Joey Zou April 15, 2017 Problem 1: Prove that the Cantor set C constructed in the text is totally disconnected and perfect. In other words, given two distinct points x, y C, there

More information

MAT1000 ASSIGNMENT 1. a k 3 k. x =

MAT1000 ASSIGNMENT 1. a k 3 k. x = MAT1000 ASSIGNMENT 1 VITALY KUZNETSOV Question 1 (Exercise 2 on page 37). Tne Cantor set C can also be described in terms of ternary expansions. (a) Every number in [0, 1] has a ternary expansion x = a

More information

MATHS 730 FC Lecture Notes March 5, Introduction

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

More information

Integration on Measure Spaces

Integration on Measure Spaces Chapter 3 Integration on Measure Spaces In this chapter we introduce the general notion of a measure on a space X, define the class of measurable functions, and define the integral, first on a class of

More information

Signed Measures and Complex Measures

Signed Measures and Complex Measures Chapter 8 Signed Measures Complex Measures As opposed to the measures we have considered so far, a signed measure is allowed to take on both positive negative values. To be precise, if M is a σ-algebra

More information

NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES

NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES JUHA LEHRBÄCK Abstract. We establish necessary conditions for domains Ω R n which admit the pointwise (p, β)-hardy inequality u(x) Cd Ω(x)

More information

DAVID MAPS AND HAUSDORFF DIMENSION

DAVID MAPS AND HAUSDORFF DIMENSION Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 9, 004, 38 DAVID MAPS AND HAUSDORFF DIMENSION Saeed Zakeri Stony Brook University, Institute for Mathematical Sciences Stony Brook, NY 794-365,

More information

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

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

More information

A RELATIONSHIP BETWEEN THE DIRICHLET AND REGULARITY PROBLEMS FOR ELLIPTIC EQUATIONS. Zhongwei Shen

A RELATIONSHIP BETWEEN THE DIRICHLET AND REGULARITY PROBLEMS FOR ELLIPTIC EQUATIONS. Zhongwei Shen A RELATIONSHIP BETWEEN THE DIRICHLET AND REGULARITY PROBLEMS FOR ELLIPTIC EQUATIONS Zhongwei Shen Abstract. Let L = diva be a real, symmetric second order elliptic operator with bounded measurable coefficients.

More information

Potential Analysis meets Geometric Measure Theory

Potential Analysis meets Geometric Measure Theory Potential Analysis meets Geometric Measure Theory T. Toro Abstract A central question in Potential Theory is the extend to which the geometry of a domain influences the boundary regularity of the solution

More information

GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES

GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES Journal of Applied Analysis Vol. 7, No. 1 (2001), pp. 131 150 GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES M. DINDOŠ Received September 7, 2000 and, in revised form, February

More information

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 207 222 PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Fumi-Yuki Maeda and Takayori Ono Hiroshima Institute of Technology, Miyake,

More information

Solutions to Tutorial 8 (Week 9)

Solutions to Tutorial 8 (Week 9) The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 8 (Week 9) MATH3961: Metric Spaces (Advanced) Semester 1, 2018 Web Page: http://www.maths.usyd.edu.au/u/ug/sm/math3961/

More information

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

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

More information

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

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

QUASI-LIPSCHITZ EQUIVALENCE OF SUBSETS OF AHLFORS DAVID REGULAR SETS

QUASI-LIPSCHITZ EQUIVALENCE OF SUBSETS OF AHLFORS DAVID REGULAR SETS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 39, 2014, 759 769 QUASI-LIPSCHITZ EQUIVALENCE OF SUBSETS OF AHLFORS DAVID REGULAR SETS Qiuli Guo, Hao Li and Qin Wang Zhejiang Wanli University,

More information

Three hours THE UNIVERSITY OF MANCHESTER. 24th January

Three hours THE UNIVERSITY OF MANCHESTER. 24th January Three hours MATH41011 THE UNIVERSITY OF MANCHESTER FOURIER ANALYSIS AND LEBESGUE INTEGRATION 24th January 2013 9.45 12.45 Answer ALL SIX questions in Section A (25 marks in total). Answer THREE of the

More information

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

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

More information

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

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due 9/5). Prove that every countable set A is measurable and µ(a) = 0. 2 (Bonus). Let A consist of points (x, y) such that either x or y is

More information

1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989),

1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989), Real Analysis 2, Math 651, Spring 2005 April 26, 2005 1 Real Analysis 2, Math 651, Spring 2005 Krzysztof Chris Ciesielski 1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer

More information

ABSTRACT INTEGRATION CHAPTER ONE

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

More information

MODULUS AND CONTINUOUS CAPACITY

MODULUS AND CONTINUOUS CAPACITY Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 26, 2001, 455 464 MODULUS AND CONTINUOUS CAPACITY Sari Kallunki and Nageswari Shanmugalingam University of Jyväskylä, Department of Mathematics

More information

Chapter 1 The Real Numbers

Chapter 1 The Real Numbers Chapter 1 The Real Numbers In a beginning course in calculus, the emphasis is on introducing the techniques of the subject;i.e., differentiation and integration and their applications. An advanced calculus

More information

Problem set 1, Real Analysis I, Spring, 2015.

Problem set 1, Real Analysis I, Spring, 2015. Problem set 1, Real Analysis I, Spring, 015. (1) Let f n : D R be a sequence of functions with domain D R n. Recall that f n f uniformly if and only if for all ɛ > 0, there is an N = N(ɛ) so that if n

More information

2 Lebesgue integration

2 Lebesgue integration 2 Lebesgue integration 1. Let (, A, µ) be a measure space. We will always assume that µ is complete, otherwise we first take its completion. The example to have in mind is the Lebesgue measure on R n,

More information

JUHA KINNUNEN. Harmonic Analysis

JUHA KINNUNEN. Harmonic Analysis JUHA KINNUNEN Harmonic Analysis Department of Mathematics and Systems Analysis, Aalto University 27 Contents Calderón-Zygmund decomposition. Dyadic subcubes of a cube.........................2 Dyadic cubes

More information

MATH41011/MATH61011: FOURIER SERIES AND LEBESGUE INTEGRATION. Extra Reading Material for Level 4 and Level 6

MATH41011/MATH61011: FOURIER SERIES AND LEBESGUE INTEGRATION. Extra Reading Material for Level 4 and Level 6 MATH41011/MATH61011: FOURIER SERIES AND LEBESGUE INTEGRATION Extra Reading Material for Level 4 and Level 6 Part A: Construction of Lebesgue Measure The first part the extra material consists of the construction

More information

Measure and Integration: Solutions of CW2

Measure and Integration: Solutions of CW2 Measure and Integration: s of CW2 Fall 206 [G. Holzegel] December 9, 206 Problem of Sheet 5 a) Left (f n ) and (g n ) be sequences of integrable functions with f n (x) f (x) and g n (x) g (x) for almost

More information

Chapter 4. Measure Theory. 1. Measure Spaces

Chapter 4. Measure Theory. 1. Measure Spaces Chapter 4. Measure Theory 1. Measure Spaces Let X be a nonempty set. A collection S of subsets of X is said to be an algebra on X if S has the following properties: 1. X S; 2. if A S, then A c S; 3. if

More information

CONVEXITY OF INTEGRAL MEANS OF SUBHARMONIC FUNCTIONS

CONVEXITY OF INTEGRAL MEANS OF SUBHARMONIC FUNCTIONS PROCEEDINGS OF THE AMERICAIN MATHEMATICAL SOCIETY Volume 60, October 1976 CONVEXITY OF INTEGRAL MEANS OF SUBHARMONIC FUNCTIONS JANG-MEI G. WU' Abstract. We study the convexity of integral means of subharmonic

More information

Probability and Measure

Probability and Measure Part II Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 84 Paper 4, Section II 26J Let (X, A) be a measurable space. Let T : X X be a measurable map, and µ a probability

More information

Analysis Qualifying Exam

Analysis Qualifying Exam Analysis Qualifying Exam Spring 2017 Problem 1: Let f be differentiable on R. Suppose that there exists M > 0 such that f(k) M for each integer k, and f (x) M for all x R. Show that f is bounded, i.e.,

More information

Fragmentability and σ-fragmentability

Fragmentability and σ-fragmentability F U N D A M E N T A MATHEMATICAE 143 (1993) Fragmentability and σ-fragmentability by J. E. J a y n e (London), I. N a m i o k a (Seattle) and C. A. R o g e r s (London) Abstract. Recent work has studied

More information

A note on a construction of J. F. Feinstein

A note on a construction of J. F. Feinstein STUDIA MATHEMATICA 169 (1) (2005) A note on a construction of J. F. Feinstein by M. J. Heath (Nottingham) Abstract. In [6] J. F. Feinstein constructed a compact plane set X such that R(X), the uniform

More information

CHAPTER I THE RIESZ REPRESENTATION THEOREM

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

More information

NONLINEAR HARMONIC MEASURES ON TREES

NONLINEAR HARMONIC MEASURES ON TREES Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 279 302 NONLINEAR HARMONIC MEASURES ON TREES Robert Kaufman, José G. Llorente, and Jang-Mei Wu University of Illinois, Department of Mathematics

More information

Geometric intuition: from Hölder spaces to the Calderón-Zygmund estimate

Geometric intuition: from Hölder spaces to the Calderón-Zygmund estimate Geometric intuition: from Hölder spaces to the Calderón-Zygmund estimate A survey of Lihe Wang s paper Michael Snarski December 5, 22 Contents Hölder spaces. Control on functions......................................2

More information

REAL ANALYSIS LECTURE NOTES: 1.4 OUTER MEASURE

REAL ANALYSIS LECTURE NOTES: 1.4 OUTER MEASURE REAL ANALYSIS LECTURE NOTES: 1.4 OUTER MEASURE CHRISTOPHER HEIL 1.4.1 Introduction We will expand on Section 1.4 of Folland s text, which covers abstract outer measures also called exterior measures).

More information

Math212a1413 The Lebesgue integral.

Math212a1413 The Lebesgue integral. Math212a1413 The Lebesgue integral. October 28, 2014 Simple functions. In what follows, (X, F, m) is a space with a σ-field of sets, and m a measure on F. The purpose of today s lecture is to develop the

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

BMO solvability and the A condition for elliptic operators

BMO solvability and the A condition for elliptic operators BMO solvability and the A condition for elliptic operators Martin Dindos Carlos Kenig Jill Pipher July 30, 2009 Abstract We establish a connection between the absolute continuity of elliptic measure associated

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter The Real Numbers.. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {, 2, 3, }. In N we can do addition, but in order to do subtraction we need to extend

More information

02. Measure and integral. 1. Borel-measurable functions and pointwise limits

02. Measure and integral. 1. Borel-measurable functions and pointwise limits (October 3, 2017) 02. Measure and integral Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2017-18/02 measure and integral.pdf]

More information

THE HARDY LITTLEWOOD MAXIMAL FUNCTION OF A SOBOLEV FUNCTION. Juha Kinnunen. 1 f(y) dy, B(x, r) B(x,r)

THE HARDY LITTLEWOOD MAXIMAL FUNCTION OF A SOBOLEV FUNCTION. Juha Kinnunen. 1 f(y) dy, B(x, r) B(x,r) Appeared in Israel J. Math. 00 (997), 7 24 THE HARDY LITTLEWOOD MAXIMAL FUNCTION OF A SOBOLEV FUNCTION Juha Kinnunen Abstract. We prove that the Hardy Littlewood maximal operator is bounded in the Sobolev

More information

IRRATIONAL ROTATION OF THE CIRCLE AND THE BINARY ODOMETER ARE FINITARILY ORBIT EQUIVALENT

IRRATIONAL ROTATION OF THE CIRCLE AND THE BINARY ODOMETER ARE FINITARILY ORBIT EQUIVALENT IRRATIONAL ROTATION OF THE CIRCLE AND THE BINARY ODOMETER ARE FINITARILY ORBIT EQUIVALENT MRINAL KANTI ROYCHOWDHURY Abstract. Two invertible dynamical systems (X, A, µ, T ) and (Y, B, ν, S) where X, Y

More information

Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets

Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets Ole Christensen, Alexander M. Lindner Abstract We characterize Riesz frames and prove that every Riesz frame

More information

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

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

More information

Differentiation of Measures and Functions

Differentiation of Measures and Functions Chapter 6 Differentiation of Measures and Functions This chapter is concerned with the differentiation theory of Radon measures. In the first two sections we introduce the Radon measures and discuss two

More information

Real Analysis Notes. Thomas Goller

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

More information

Cones of measures. Tatiana Toro. University of Washington. Quantitative and Computational Aspects of Metric Geometry

Cones of measures. Tatiana Toro. University of Washington. Quantitative and Computational Aspects of Metric Geometry Cones of measures Tatiana Toro University of Washington Quantitative and Computational Aspects of Metric Geometry Based on joint work with C. Kenig and D. Preiss Tatiana Toro (University of Washington)

More information

The Gauss-Green Formula (And Elliptic Boundary Problems On Rough Domains) Joint Work with Steve Hofmann and Marius Mitrea

The Gauss-Green Formula (And Elliptic Boundary Problems On Rough Domains) Joint Work with Steve Hofmann and Marius Mitrea The Gauss-Green Formula And Elliptic Boundary Problems On Rough Domains) Joint Work with Steve Hofmann and Marius Mitrea Dirichlet Problem on open in a compact Riemannian manifold M), dimension n: ) Lu

More information

MORE ON CONTINUOUS FUNCTIONS AND SETS

MORE ON CONTINUOUS FUNCTIONS AND SETS Chapter 6 MORE ON CONTINUOUS FUNCTIONS AND SETS This chapter can be considered enrichment material containing also several more advanced topics and may be skipped in its entirety. You can proceed directly

More information

Defining the Integral

Defining the Integral Defining the Integral In these notes we provide a careful definition of the Lebesgue integral and we prove each of the three main convergence theorems. For the duration of these notes, let (, M, µ) be

More information

convergence theorem in abstract set up. Our proof produces a positive integrable function required unlike other known

convergence theorem in abstract set up. Our proof produces a positive integrable function required unlike other known https://sites.google.com/site/anilpedgaonkar/ profanilp@gmail.com 218 Chapter 5 Convergence and Integration In this chapter we obtain convergence theorems. Convergence theorems will apply to various types

More information

(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define

(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define Homework, Real Analysis I, Fall, 2010. (1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define ρ(f, g) = 1 0 f(x) g(x) dx. Show that

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics and Engineering Lecture notes for PDEs Sergei V. Shabanov Department of Mathematics, University of Florida, Gainesville, FL 32611 USA CHAPTER 1 The integration theory

More information

A G δ IDEAL OF COMPACT SETS STRICTLY ABOVE THE NOWHERE DENSE IDEAL IN THE TUKEY ORDER

A G δ IDEAL OF COMPACT SETS STRICTLY ABOVE THE NOWHERE DENSE IDEAL IN THE TUKEY ORDER A G δ IDEAL OF COMPACT SETS STRICTLY ABOVE THE NOWHERE DENSE IDEAL IN THE TUKEY ORDER JUSTIN TATCH MOORE AND S LAWOMIR SOLECKI Abstract. We prove that there is a G δ σ-ideal of compact sets which is strictly

More information

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem

More information

Invariant measures for iterated function systems

Invariant measures for iterated function systems ANNALES POLONICI MATHEMATICI LXXV.1(2000) Invariant measures for iterated function systems by Tomasz Szarek (Katowice and Rzeszów) Abstract. A new criterion for the existence of an invariant distribution

More information

The Caratheodory Construction of Measures

The Caratheodory Construction of Measures Chapter 5 The Caratheodory Construction of Measures Recall how our construction of Lebesgue measure in Chapter 2 proceeded from an initial notion of the size of a very restricted class of subsets of R,

More information

MATH 205C: STATIONARY PHASE LEMMA

MATH 205C: STATIONARY PHASE LEMMA MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)

More information

EXTERNAL RAYS AND THE REAL SLICE OF THE MANDELBROT SET

EXTERNAL RAYS AND THE REAL SLICE OF THE MANDELBROT SET EXTERNAL RAYS AND THE REAL SLICE OF THE MANDELBROT SET SAEED ZAKERI Abstract. This paper investigates the set of angles of the parameter rays which land on the real slice [ 2, 1/4] of the Mandelbrot set.

More information

A LIOUVILLE THEOREM FOR p-harmonic

A LIOUVILLE THEOREM FOR p-harmonic A LIOUVILLE THEOREM FOR p-harmonic FUNCTIONS ON EXTERIOR DOMAINS Daniel Hauer School of Mathematics and Statistics University of Sydney, Australia Joint work with Prof. E.N. Dancer & A/Prof. D. Daners

More information

Some aspects of vanishing properties of solutions to nonlinear elliptic equations

Some aspects of vanishing properties of solutions to nonlinear elliptic equations RIMS Kôkyûroku, 2014, pp. 1 9 Some aspects of vanishing properties of solutions to nonlinear elliptic equations By Seppo Granlund and Niko Marola Abstract We discuss some aspects of vanishing properties

More information

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction SHARP BOUNDARY TRACE INEQUALITIES GILES AUCHMUTY Abstract. This paper describes sharp inequalities for the trace of Sobolev functions on the boundary of a bounded region R N. The inequalities bound (semi-)norms

More information

On Convergence of Sequences of Measurable Functions

On Convergence of Sequences of Measurable Functions On Convergence of Sequences of Measurable Functions Christos Papachristodoulos, Nikolaos Papanastassiou Abstract In order to study the three basic kinds of convergence (in measure, almost every where,

More information

Irrationality Exponent, Hausdorff Dimension and Effectivization

Irrationality Exponent, Hausdorff Dimension and Effectivization Irrationality Exponent, Hausdorff Dimension and Effectivization Verónica Becher, Jan Reimann and Theodore A Slaman December 31, 2015 Abstract We generalize the classical theorem by Jarní and Besicovitch

More information

Lebesgue Integration on R n

Lebesgue Integration on R n Lebesgue Integration on R n The treatment here is based loosely on that of Jones, Lebesgue Integration on Euclidean Space We give an overview from the perspective of a user of the theory Riemann integration

More information

SYMMETRIC INTEGRALS DO NOT HAVE THE MARCINKIEWICZ PROPERTY

SYMMETRIC INTEGRALS DO NOT HAVE THE MARCINKIEWICZ PROPERTY RESEARCH Real Analysis Exchange Vol. 21(2), 1995 96, pp. 510 520 V. A. Skvortsov, Department of Mathematics, Moscow State University, Moscow 119899, Russia B. S. Thomson, Department of Mathematics, Simon

More information

STABILITY FOR DEGENERATE PARABOLIC EQUATIONS. 1. Introduction We consider stability of weak solutions to. div( u p 2 u) = u

STABILITY FOR DEGENERATE PARABOLIC EQUATIONS. 1. Introduction We consider stability of weak solutions to. div( u p 2 u) = u STABILITY FOR DEGENERATE PARABOLIC EQUATIONS JUHA KINNUNEN AND MIKKO PARVIAINEN Abstract. We show that an initial and boundary value problem related to the parabolic p-laplace equation is stable with respect

More information

THEOREMS, ETC., FOR MATH 515

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

More information

Real Analysis Problems

Real Analysis Problems Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.

More information

PCA sets and convexity

PCA sets and convexity F U N D A M E N T A MATHEMATICAE 163 (2000) PCA sets and convexity by Robert K a u f m a n (Urbana, IL) Abstract. Three sets occurring in functional analysis are shown to be of class PCA (also called Σ

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

Nonlinear aspects of Calderón-Zygmund theory

Nonlinear aspects of Calderón-Zygmund theory Ancona, June 7 2011 Overture: The standard CZ theory Consider the model case u = f in R n Overture: The standard CZ theory Consider the model case u = f in R n Then f L q implies D 2 u L q 1 < q < with

More information

EQUIVALENCE OF TOPOLOGIES AND BOREL FIELDS FOR COUNTABLY-HILBERT SPACES

EQUIVALENCE OF TOPOLOGIES AND BOREL FIELDS FOR COUNTABLY-HILBERT SPACES EQUIVALENCE OF TOPOLOGIES AND BOREL FIELDS FOR COUNTABLY-HILBERT SPACES JEREMY J. BECNEL Abstract. We examine the main topologies wea, strong, and inductive placed on the dual of a countably-normed space

More information

Real Variables: Solutions to Homework 3

Real Variables: Solutions to Homework 3 Real Variables: Solutions to Homework 3 September 3, 011 Exercise 0.1. Chapter 3, # : Show that the cantor set C consists of all x such that x has some triadic expansion for which every is either 0 or.

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter 1 The Real Numbers 1.1. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {1, 2, 3, }. In N we can do addition, but in order to do subtraction we need

More information

CHAPTER 6. Differentiation

CHAPTER 6. Differentiation CHPTER 6 Differentiation The generalization from elementary calculus of differentiation in measure theory is less obvious than that of integration, and the methods of treating it are somewhat involved.

More information

Partial Solutions to Folland s Real Analysis: Part I

Partial Solutions to Folland s Real Analysis: Part I Partial Solutions to Folland s Real Analysis: Part I (Assigned Problems from MAT1000: Real Analysis I) Jonathan Mostovoy - 1002142665 University of Toronto January 20, 2018 Contents 1 Chapter 1 3 1.1 Folland

More information

Quick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1

Quick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1 Quick Tour of the Topology of R Steven Hurder, Dave Marker, & John Wood 1 1 Department of Mathematics, University of Illinois at Chicago April 17, 2003 Preface i Chapter 1. The Topology of R 1 1. Open

More information

Chapter 8. General Countably Additive Set Functions. 8.1 Hahn Decomposition Theorem

Chapter 8. General Countably Additive Set Functions. 8.1 Hahn Decomposition Theorem Chapter 8 General Countably dditive Set Functions In Theorem 5.2.2 the reader saw that if f : X R is integrable on the measure space (X,, µ) then we can define a countably additive set function ν on by

More information

Green s Functions and Distributions

Green s Functions and Distributions CHAPTER 9 Green s Functions and Distributions 9.1. Boundary Value Problems We would like to study, and solve if possible, boundary value problems such as the following: (1.1) u = f in U u = g on U, where

More information

FUNDAMENTALS OF REAL ANALYSIS by. IV.1. Differentiation of Monotonic Functions

FUNDAMENTALS OF REAL ANALYSIS by. IV.1. Differentiation of Monotonic Functions FUNDAMNTALS OF RAL ANALYSIS by Doğan Çömez IV. DIFFRNTIATION AND SIGND MASURS IV.1. Differentiation of Monotonic Functions Question: Can we calculate f easily? More eplicitly, can we hope for a result

More information

A NOTE ON WEAK CONVERGENCE OF SINGULAR INTEGRALS IN METRIC SPACES

A NOTE ON WEAK CONVERGENCE OF SINGULAR INTEGRALS IN METRIC SPACES A NOTE ON WEAK CONVERGENCE OF SINGULAR INTEGRALS IN METRIC SPACES VASILIS CHOUSIONIS AND MARIUSZ URBAŃSKI Abstract. We prove that in any metric space (X, d) the singular integral operators Tµ,ε(f)(x) k

More information

SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS WITH EXCEPTIONALLY FEW ZEROS

SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS WITH EXCEPTIONALLY FEW ZEROS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 23, 1998, 429 452 SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS WITH EXCEPTIONALLY FEW ZEROS Gary G. Gundersen, Enid M. Steinbart, and

More information

On Estimates of Biharmonic Functions on Lipschitz and Convex Domains

On Estimates of Biharmonic Functions on Lipschitz and Convex Domains The Journal of Geometric Analysis Volume 16, Number 4, 2006 On Estimates of Biharmonic Functions on Lipschitz and Convex Domains By Zhongwei Shen ABSTRACT. Using Maz ya type integral identities with power

More information

+ 2x sin x. f(b i ) f(a i ) < ɛ. i=1. i=1

+ 2x sin x. f(b i ) f(a i ) < ɛ. i=1. i=1 Appendix To understand weak derivatives and distributional derivatives in the simplest context of functions of a single variable, we describe without proof some results from real analysis (see [7] and

More information

Summary of Real Analysis by Royden

Summary of Real Analysis by Royden Summary of Real Analysis by Royden Dan Hathaway May 2010 This document is a summary of the theorems and definitions and theorems from Part 1 of the book Real Analysis by Royden. In some areas, such as

More information

POTENTIAL THEORY OF QUASIMINIMIZERS

POTENTIAL THEORY OF QUASIMINIMIZERS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 459 490 POTENTIAL THEORY OF QUASIMINIMIZERS Juha Kinnunen and Olli Martio Institute of Mathematics, P.O. Box 1100 FI-02015 Helsinki University

More information

If the [T, Id] automorphism is Bernoulli then the [T, Id] endomorphism is standard

If the [T, Id] automorphism is Bernoulli then the [T, Id] endomorphism is standard If the [T, Id] automorphism is Bernoulli then the [T, Id] endomorphism is standard Christopher Hoffman Daniel Rudolph September 27, 2002 Abstract For any - measure preserving map T of a probability space

More information

3. (a) What is a simple function? What is an integrable function? How is f dµ defined? Define it first

3. (a) What is a simple function? What is an integrable function? How is f dµ defined? Define it first Math 632/6321: Theory of Functions of a Real Variable Sample Preinary Exam Questions 1. Let (, M, µ) be a measure space. (a) Prove that if µ() < and if 1 p < q

More information

REMOVABLE SINGULARITIES FOR BOUNDED p-harmonic AND QUASI(SUPER)HARMONIC FUNCTIONS ON METRIC SPACES

REMOVABLE SINGULARITIES FOR BOUNDED p-harmonic AND QUASI(SUPER)HARMONIC FUNCTIONS ON METRIC SPACES Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 31, 2006, 71 95 REMOVABLE SINGULARITIES FOR BOUNDED p-harmonic AND QUASI(SUPER)HARMONIC FUNCTIONS ON METRIC SPACES Anders Björn Linköpings universitet,

More information

POSITIVE AND NEGATIVE CORRELATIONS FOR CONDITIONAL ISING DISTRIBUTIONS

POSITIVE AND NEGATIVE CORRELATIONS FOR CONDITIONAL ISING DISTRIBUTIONS POSITIVE AND NEGATIVE CORRELATIONS FOR CONDITIONAL ISING DISTRIBUTIONS CAMILLO CAMMAROTA Abstract. In the Ising model at zero external field with ferromagnetic first neighbors interaction the Gibbs measure

More information

Austin Mohr Math 704 Homework 6

Austin Mohr Math 704 Homework 6 Austin Mohr Math 704 Homework 6 Problem 1 Integrability of f on R does not necessarily imply the convergence of f(x) to 0 as x. a. There exists a positive continuous function f on R so that f is integrable

More information