ISRAEL JOURNAL OF MATHEMATICS, Vol. 26, No. 2, 1977 COMPACT AND STRICTLY SINGULAR OPERATORS ON ORLICZ SPACES
|
|
- William Chandler
- 6 years ago
- Views:
Transcription
1 ISRAEL JOURNAL OF MATHEMATICS, Vol. 26, No. 2, 1977 COMPACT AND STRICTLY SINGULAR OPERATORS ON ORLICZ SPACES BY N.J. KALTON ABSTRACT If 0 < p < 1 and T: Lp(0, 1)--~ E is a continuous linear operator into a topological vector space, there is an infinite-dimensional subspace X of Lp on which T is an isomorphism; thus there are no compact operators on L w Results of this type are proved for general non-locally convex Orlicz spaces. I. Introduction Let 4': [0, co)--> [0, ~) be an Orlicz function, i.e. an increasing function continu- ous at 0, such that 4'(0)=0 and 4'(x)>0 for some x >0. The Orlicz space L,(0, 1) is the space of all measurable functions (identify functions equal almost everywhere) such that for some e > 0 fo' 4'(e-'[x(t)l)dt < ~" L~(0, 1) is an F-space (complete metric linear space) if we equip it with the topology (the 4'-topology) whose base of neighbourhoods of zero consists of all sets of the form rb,(e) where r >0 and B,(e)= x: 4'(Ix(t)l)dt<=e Ifo } for e >0. If 4' is convex then L,(0,1) is a Banach space. (4' is convex if 4' (-~ (x + y))-< 89 4'(y)), x => 0, y => 0.) An Orlicz function 4' is said to satisfy the Az-condition at ~ if sup 4'(2x) < x -i 4'(x) " If 4' satisfies this condition then L=(0, 1) is dense in L,(0, 1). In general we denote the closure of L=(0, 1) in L~(0, 1) by L~(0, 1)./~, consists of all x such that Received November 28,
2 Vol. 26, 1977 OPERATORS ON ORLICZ SPACES 127 fo lqb(aix(t)l)dt<~ for all A>0. An operator T: X ~ Y between two topological vector spaces is compact if it maps a neighbourhood of zero in X to a relatively compact set. Recently Turpin [6] (see also Pallaschke [5]) has shown that if lira x-' qb(x ) = 0 then L,(0, 1) admits no non-zero compact endomorphisms. In response to a question of Turpin ([6] (and [7] 3.4.9)) we shall show that this assumption and the A2-condition at ~ imply that there is no non-zero compact operator T: L~ (0, 1)----~ X where X is any topological vector space. In fact there is no such non-zero operator which is not an isomorphism on some infinite-dimensional Hilbertian subspace of L,. For the special case th(x)= x p, 0<p < 1, this also improves a result of the author [2] that Lp admits no Hausdorff vector topology for which the unit ball is relatively compact. Before going on to the proofs we give a sketch of the technique to be employed. Let sr be a collection of continuous operators with domain/2,. We form on L, the finest topology, Y, such that each T E s~ is continuous. We then construct on //,, a topology /3 stronger than 3' but weaker than the original 4~-topology; this topology has for its base of neighbourhoods of zero the set of 3,-closed ~b-neighbourhoods. Under certain circumstances, it is shown that/3 can be identified as the topology induced by a convex Orlicz function ~ such that i, C L,. Thus each T E sr factors through the inclusion map i, ~/2,. In w we apply this technique to those operators which map {x:ess.sup!x(t)[ <= 1} into a relatively compact set. In w we apply it to those operators which are strictly singular on every Hilbertian subspace of /2,. 2. Compact operators Consider the following classes of operators on the space Lo of all measurable functions on (0, 1) (c,) Sox(s) = o(s)x(s) where 0 E Lo and II 0 I1o = ess. sup f 0(s)l _-< 1. If 0 = x,,, the characteristic function of A, then we write SA for So. (C2) R,x(s) = x(k(s, t)) where
3 128 N.J. KALTON Israel J. Math. K(s,t)=s+t 0<s<l-t =t s=l-t =s+t-1 1-t<s<l. Then each operator of classes C1 and 6?2 defines a continuous operator on L,. In fact if T is in C1 or C2 (where II x II, = 6 (I x (t)l) dt). II Yx In, =< II x II, x E L, Note also that L=, and hence L,, is invariant for each T E C1 or C~. In fact for our applications in this note, we could take for the class (Cz) the larger class of all operators Rx(s)=x(a(s)) where a:(0,1)---~(0,1) is any measure preserving map. The operators R, can be interpreted as follows. Let X be the space of measurable functions on R of period one. Then L0(0, 1) and X can be naturally identified, and R, corresponds to operator x ~ x' on X where x' (s)= x(s + t). (Of course we are ignoring sets of measure zero in this identification.) LEMMA 2.1. Let 31 be a vector topology on I~r weaker than the ~b-topology, but not indiscrete. Suppose each endomorphism of f,, of classes C~ and C2 is y-continuous. Let/3 be the vector topology on I~, whose base consists of all 3,-closed q~-neighbourhoods of zero. Then/3 is the topology induced by an Orlicz function such that tk <-- ~b and 11. II, is lower-semi-continuous for "g. PROOF, For x E L,, define F(x) = inf{e: x ~ B,(e)} (closure in 3'). The sets {x: F(r-lx) _-< e} for r > 0, e > 0 form a base for/3, and F is lower-semi-continuous for y. Clearly we also have F(x)<= n x I1,, and it is therefore enough to show that F(x)= HI x II, for some Orlicz function ~b. We will show that F satisfies the following conditions: 1) If x,y E/~, and ]xl_-<[yl then F(x)<=F(y). 2) If x,,x ~ C,,, O<=x, <=x and x,(t)-*x(t) a.e. then F(x,)--~F(x). 3) If x, y ~/S, and x(t) y (t) = 0 a.e. then F(x + y) = F(x) + F(y). 4) If x E/~,, and 0 < t < 1, F(R,x) = F(x). First observe that T is of class (C1) or (C2), then T(B,(e))CB,(e). Hence as each T is continuous for y, T(B,(e)) CB,(e), and so F(Tx) <-_ F(x) (x E [,,).
4 Vol. 26, 1977 OPERATORS ON ORLICZ SPACES 129 For (1), note that x = Soy where II011 < 1. Hence F(x)<=F(y). For (2), suppose A > 0, I[A(x - x,)[[, = fo' ~b(a(x(t)- x,(t)))dt and 6(A (x(t)- x.(t))) <- 6(Ax(t)) a.e. fo ~ c~(ax(t))dt <~ since xe/~,. Hence by the Lebesgue convergence theorem [[ A (x - x,)ll, ~ 0 for all A > 0, and hence x. ~ x in the ~b-topology. Thus x. ~ x is the y-topology, and hence as F is y-lower-semi-continuous, F(x)<-_liminf.~F(x.). However by (1), F(x)>= F(x.) for all n E N and hence F(x,)-*F(x). For (3), suppose x, y have disjoint supports A and B. Let u. be a net such that u~---~x+y(y) and Ilu~ll,--~F(x+y). Then as SA is continuous for y, SAu, ~ x (~,) and similarly SBu~ ~ y. Thus F(x) <= lim inf~ II S,,uo II. and F(y) _-< lira inl 1[ SBu~ I[,. However and hence If u~ I1o = II s.u~ II. + It sbuo II. F(x + y) >- F(x) + F(y). Conversely if v~ --~ x(y), w~ --~ y(y) and I[ v~ [t, --~ F(x), II wv lie, ~ F(y), then SAv~ ~ x(y) and SBwv ~ y(y). Hence F(x + y) ~ lira inf II $~v,, + Sswv I1~, = lim.!nf (ll sav~ II, + llsow~ I[,) Hence lim inf (ll v~ 11, + H w~ I[,u) a,l, = F(x) + F(y). F(x + y) = F(x)+ F(y). Finally for (4) we observe that R~_,R, = I for 0 < t < 1, and hence F(R,x)~= F(x) < f(r,x).
5 130 N.J. KALTON Israel J. Math. Now we can appeal to 2.4 of [1], with some slight modifications, to deduce that (,) F(x)= ~b([x(t)l)dt Io' for some left-continuous increasing function. For completeness we sketch the details here. Define O(t)=F(txto.~); for fixed r, we may apply the Radon-Nikodym theorem to the absolutely continuous measure A,(A)= F(rXA), to deduce the existence of measurable function 7r~ such that F(,XA)= fa rr,(s)ds A C(0,1). Then since F(R,rxA)= F(rXA) we have F(rXA) = f f 1 ) = m (A)tp(,) x~(g(t,s))rr,(s)dsdt by Fubini's theorem, since f', Xa (K(t,s))dt = re(a). Thus we obtain (*) for simple functions, and we may use (2) to obtain (*) in general. Finally we observe that since 3' is not indiscrete and /3 => % /3 is also not indiscrete. Thus F~ 0 and hence ~ 0, i.e. ~ is an Orlicz function. THEOREM 2.2. Let 4) be an Orlicz function and let T: f~, --~ X be a continuous operator such that T {x:ll x I1~ =< 1} is relatively compact. Then a) If liminfx~= x 14~(x)=0 then T=0. b) If liminfx_= x 14~(x)>0, T may be factorized: f~, -& 1~4, ~ X where c~ is the largest convex function smaller than ck and J is the natural inclusion map. PROOF. Let 3' be the topology on /_~ induced by all continuous operators T:/_],---~ Y where Y is a topological vector space and T(B) is precompact (where B = {x:]] x 1}). If S E Ct or C2, S(B) C B and hence for all such T, TS(B)C T(B) is precompact; therefore S is 3'-continuous. Furthermore B is 3,-precompact. If 3, is not indiscrete we can apply Lemma 2.1 to obtain the Orlicz function $.
6 VOI. 26, 1977 OPERATORS ON ORLICZ SPACES 131 Let {r,} denote the sequence of Rademacher functions (i.e. a sequence of independent random variables with mean zero and taking only the values _+ 1). Since r. E B and B is y-precompact, we may find a net r,,t,)-r,~) where m(a)~n(a) and r~)-r.(.)---~o(y). However [['[1, is y-lower-semicontinuous; hence 1 liminf [[SX,o,,,+~t(r,.,~,- r.(~))[[, >i ~b(s) for s, t >0. However [[ SX,o.,) + ~t(r,.(~,- r.,~,)ll, = 89 to(s) Hence +88 for O<t<=s. 89 O<t<=s i.e. to is convex. Since ~b ~ 49, (a) follows immediately. For (b), note that to is an Orlicz function and that to --< ~ by definition. In fact, although we do not need this, 0 = ~. Clearly T is continuous on/_~, for the q~-topology, for if U is a neighbourhood of 0 in X then T-~(U) is a y-neighbourhood and hence a ~-neighbourhood. Thus the factorization is achieved as required. COROLLARY 2.3. Let 49 be an Orlicz function satisfying liminfx_ O. Then any operator T: L,, --* X which maps bounded sets to relatively compact sets is identically zero. COROLLARY 2.4. An Orlicz space L,(0, 1) has a Schauder basis if and only if 49 is equivalent to a convex Orlicz function and 49 satisfies the A2-condition at oo. PROOF. If 49 is a convex Orlicz function, satisfying the A2-condition at o% then L, (0, 1) has a basis (the Haar system, see [4] p. 101). Conversely if L, has a basis then the sequence {S,} of partial sum operators on L, forms an equicontinuous set of operators and S,x ~ x pointwise. Thus the sets U* = n 7=1 s~l(u) form a base of neighbourhoods of zero, as U runs through the set of all closed neighbourhoods of 0. Each S, has finite-dimensional range and it follows that SII(U) is weakly closed. Hence U* is weakly closed, and /~, has a base of weakly closed neighbourhoods of 0. It follows that to constructed in the theorem is equivalent to 49.
7 132 N.J. KALTON Israel J. Math. REMARK. A further result which follows from Theorem 2.2 is that the weak closure of the set B,(e) is always convex (in /~,). 3. Strictly singular operators If X is a Banach space and Y an F-space, an operator T: X ~ Y is called strictly singular ([3]) if there is no infinite-dimensional subspace E of X such that TIE is an isomorphism. PROPOSITION 3.] (cf. [3]). Suppose X is a Banach space and Y is an F-space. i) T: X--* Y is strictly singular if and only if every infinite-dimensional subspace E of X contains an infinite-dimensional subspace F such that TIF is compact. ii) If T: X--) Y and S: X--~ Y are strictly singular then so is S + T. PROOF. i) Pick a basic sequence (x,) in E; then it is easy to show, using the strict singularity of T, that there is a block basic sequence (u,) with respect to (x.) such that [I u, I[ = 1 and I[ Tu, I[ <= 2-". Let F be the closed linear span of (u,). ii) follows from (i). The proof of the following lemma is omitted: LEMMA 3.2. Let & be an Orlicz function and define qb*(x) = f: &(tx) dt. Then c~ * is equivalent to ck (i.e. L,. = L,); if 4~ is Ck-function (k >- 0), then 4~ * is C k+' on (0, ~). PROPOSITION 3.3. Let & and ~0 be Orlicz functions such that L, C L,. Let y be a vector topology on 1~,, weaker than the 4~-topology such that H" I1, is lower-semicontinuous on ([,,, Y). Then I['11~" is also y-lower-semi-continuous. PROOF. /~, is &-separable. Let 0// be the collection of all y-neighbourhoods of 0. For e > 0, rational B,(e)ns : CI (B,(e)nL,+ U) (closure in 3/). Hence by the Lindel6f property of L,, there is a sequence U~, ~ 0// such that B~(~)ns = (1 (Bo(~)ns u:). n=l
8 Vol. 26, 1977 OPERATORS ON ORLICZ SPACES 133 Let T,, be a metrizable vector topology, To =< T, such that each U~., e E Q+, n E N, is a To-neighbourhood of 0. Then [l" ]1, is T0-1ower-semi-continuous. If x, ~ x (To), then fix [p,.-- fo' ~O*(rx(t)l)dt = fo' s ~(slx(t)l)dsdt 2 -- II sx Ilods s _-< lira inf I[ sx, If* ds _-< lim inf I[ sxo II, as = lim inf ]l x, II," so that I1 tt~ is To-lower-semi-continuous, and hence T-lower-semi-continuous. THEOREM 3.4. Let 49 be an Orlicz function satisfying f~ x249(ax)e-~x2dx <oo A >0. ) Suppose X is an F-space and T: L, ~ X is a non-zero continuous linear operator. Then at least one of the following conditions holds: a) There is a subspace H of IS, isomorphic to an infinite-dimensional Hilbert space such that T IH is an isomorphism. b) liminfx_~ x-'49(x)>0 and Tfactorizes /~, ~ L~, ~ X where ~ is the convex minorant of 4) and J: L, ~ 1~ is the inclusion map. PROOF. Let 3' be the topology on/z, induced by the class ~r of all operators S:/:, ---, Y (where Y is any F-space) such that if R: 12~/Z, is continuous then SR is strictly singular. Let H be any subspace of /:, of infinite dimension isomorphic to a Hilbert space. Suppose T coincides on H with the 49-topology; then there exist maps & :/~, ~ Y~ (1 =< i =< n) in M, and e > 0 such that the set {x ~ H: maxj] S,x ]l =< e} is bounded. Let Y = Y10""" O Y, under the F-norm
9 134 N.J. KALTON Israel J. Math. [I(Y,"" Y-)I[ = max [[y, [[ and consider S : S,@.-.@S.: i,---> Y. By Proposition 3.1, S is strictly singular on H, contradicting our assumptions. Hence 3' is strictly weaker than ~b on H. Next suppose R:IS, ~/:, is continuous; then if S: i, ~ Y is in M, and Q : 12---~ IS,, SRO is strictly singular. Thus SR E M, and R is 3,-continuous. Now suppose 3' is not indiscrete and apply Lemma 2.1. We obtain an Orlicz function q~ whose base of neighbourhoods consists of all 3,-closed 'bneighbourhoods of 0. Then apply Lemma 3.2 three times to obtain a C2-function 0 equivalent to ~b; by Proposition 3.3, I1"11~ is still 3,-lower-semi-continuous. Let (x.) be a sequence of functions in L0, which, considered as random variables, are independent, normally distributed, with mean zero and variance one. Then for A >0 fol ~b(a]x.(t)l)dt = i-~ fo~ $(Ax)e-~2dx so that x, E IS,. For a~ 9 9 <-_ i~ {fo' Cb(Ax)e-]'~dx + f~ x2cb(ax)e-~dx} < ~ 9 a, E R, alx~ a,x. is again normally distributed with mean zero and variance, a] a~.. Hence J] alxl +''" + anx. I1" = II W/~a 2i xl ]1 di~ and hence that there is an embedding W: 12---> IS, with We. = x, (where e, is the unit vector basis of l:). Hence there exists a net Ur = i=1 C i Xi such that u~---> 0(3") but X~-~'~[c712= 1. Thus for s > 0 and e >0, II Sx,o,,llo = 0(s) =< lim inf II SX,o,, + ~u~ I10. However II ~x,o., +,uo Iio -- fo ~ o(i s + ~uo(t)l),~t : O([s+eu(t)l)dt fo
10 Vol. 26, 1977 OPERATORS ON ORLICZ SPACES 135 where u = u(t) is any fixed normally distributed random variable with mean zero and variance 1. If s > 0, since 0 is a C2-function O(I s + ~1)= O(s) + ~o'(s) + 89 ~2o"(s) + ~o(~) where O(0)= 0 and p is continuous. Clearly p satisfies [p(r)l =<A + 0(21r[)_-< A + ~b(16[r D for some constant A. Hence and so O(Is + eu(t)l)dt = O(s)+ fo' O"(s)+ e 2 fo' uz(t)p(eu(t))dt 0"(s) + 2 fo u2(t)p(eu(t))dt>-o. For e =< 1 u2(t)lp(eu(t))j <= uz(t)(a + ~b(16e I u(t)l)) <- u2(t)(a +,/,(161 u(t)[)) and fo' uz(t)(a + cb(161u(t)l))dt=-~ x2(a + cb(16x))e-89 Hence, by the Lebesgue Convergence Theorem, 1 lim uz(t)p(eu(t)) dt = O. e ~0 f0 Thus O"(s)>= 0 and 0 is a convex function. As O(x)<= $(8x)- < ~b(8x), we clearly have O(x) < - 6(8x). Hence if T fails to satisfy (a), then y is not indiscrete, and so 0# 0 and 6# 0. Then liminf x-'tk(x) > 0 x--*~ and T factorizes through L0 and hence through /~,~.
11 136 N.J. KALTON Israel J. Math. COROLLARY 3.5. and such that If qb is an Orlicz function satisfying the A2-condition at liminf x-'oh(x) = O, and X is an F-space containing no subspace isomorphic to 12, then there is no non-zero continuous operator T: L, ~ X. PROOF. The A2-condition at oo implies ~b(x)<--a +Bx p for x--0 and for some p. Hence fo xzrk(ax)e-89 < A>O and the result follows by the theorem. REFERENCES 1. L. Drewnowski and W. Orlicz, A note on modular spaces, Bull. Acad. Polon. Sci. 16 (1968), N.J. Kalton, A note on the spaces Lp, 0 < p = 1, Proc. Arner. Math. Soc., 56 (1976), T. Kato, Perturbation theory [or nullity, deficiency and other quantities of linear operators, J. Analyse Math. 6 (1958), M. A. Krasnoseloskii and Ya. M. Rutickii, Convex Functions and Orlicz Spaces, Nordhoff, Groningen, D. Pallaschke, The compact endomorphisms of the metric linear spaces L~ Studia Math. 47 (1973), P. Turpin, Opdrateurs lindaires entre espaces d' Orlicz non localement convexes, Studia Math. 46 (1973), P. Turpin, Convexites dans les espaces vectoriels topologiques generaux, Th~se Orsay, 1974 (Diss. Math., to appear). DEPARTMENT OF PURE MATHEMATICS UNIVERSITY COLLEGE OF SWANSEA SINGLETON PARK, SWANSEA, SA2 8PP, U.K.
QUOTIENTS OF F-SPACES
QUOTIENTS OF F-SPACES by N. J. KALTON (Received 6 October, 1976) Let X be a non-locally convex F-space (complete metric linear space) whose dual X' separates the points of X. Then it is known that X possesses
More informationISRAEL JOURNAL OF MATHEMATICS, Vol. 36, No. 1, 1980 AN F-SPACE WITH TRIVIAL DUAL WHERE THE KREIN-MILMAN THEOREM HOLDS N. J.
ISRAEL JOURNAL OF MATHEMATICS, Vol. 36, No. 1, 1980 AN F-SPACE WITH TRIVIAL DUAL WHERE THE KREIN-MILMAN THEOREM HOLDS BY N. J. KALTON ABSTRACT We show that in certain non-locally convex Orlicz function
More informationProblem Set 6: Solutions Math 201A: Fall a n x n,
Problem Set 6: Solutions Math 201A: Fall 2016 Problem 1. Is (x n ) n=0 a Schauder basis of C([0, 1])? No. If f(x) = a n x n, n=0 where the series converges uniformly on [0, 1], then f has a power series
More information("-1/' .. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS. R. T. Rockafellar. MICHIGAN MATHEMATICAL vol. 16 (1969) pp.
I l ("-1/'.. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS R. T. Rockafellar from the MICHIGAN MATHEMATICAL vol. 16 (1969) pp. 397-407 JOURNAL LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERATORS
More informationMAT 578 FUNCTIONAL ANALYSIS EXERCISES
MAT 578 FUNCTIONAL ANALYSIS EXERCISES JOHN QUIGG Exercise 1. Prove that if A is bounded in a topological vector space, then for every neighborhood V of 0 there exists c > 0 such that tv A for all t > c.
More informationOverview of normed linear spaces
20 Chapter 2 Overview of normed linear spaces Starting from this chapter, we begin examining linear spaces with at least one extra structure (topology or geometry). We assume linearity; this is a natural
More informationContinuous 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 informationFunctional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32
Functional Analysis Martin Brokate Contents 1 Normed Spaces 2 2 Hilbert Spaces 2 3 The Principle of Uniform Boundedness 32 4 Extension, Reflexivity, Separation 37 5 Compact subsets of C and L p 46 6 Weak
More informationBoundedly complete weak-cauchy basic sequences in Banach spaces with the PCP
Journal of Functional Analysis 253 (2007) 772 781 www.elsevier.com/locate/jfa Note Boundedly complete weak-cauchy basic sequences in Banach spaces with the PCP Haskell Rosenthal Department of Mathematics,
More informationSpectral theory for compact operators on Banach spaces
68 Chapter 9 Spectral theory for compact operators on Banach spaces Recall that a subset S of a metric space X is precompact if its closure is compact, or equivalently every sequence contains a Cauchy
More informationRecall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm
Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify
More informationg 2 (x) (1/3)M 1 = (1/3)(2/3)M.
COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is
More informationDUNFORD-PETTIS OPERATORS ON BANACH LATTICES1
transactions of the american mathematical society Volume 274, Number 1, November 1982 DUNFORD-PETTIS OPERATORS ON BANACH LATTICES1 BY C. D. ALIPRANTIS AND O. BURKINSHAW Abstract. Consider a Banach lattice
More informationPROBLEMS. (b) (Polarization Identity) Show that in any inner product space
1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization
More informationProblem Set 5: Solutions Math 201A: Fall 2016
Problem Set 5: s Math 21A: Fall 216 Problem 1. Define f : [1, ) [1, ) by f(x) = x + 1/x. Show that f(x) f(y) < x y for all x, y [1, ) with x y, but f has no fixed point. Why doesn t this example contradict
More informationTHE RANGE OF A VECTOR-VALUED MEASURE
THE RANGE OF A VECTOR-VALUED MEASURE J. J. UHL, JR. Liapounoff, in 1940, proved that the range of a countably additive bounded measure with values in a finite dimensional vector space is compact and, in
More information1 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 informationMAS3706 Topology. Revision Lectures, May I do not answer enquiries as to what material will be in the exam.
MAS3706 Topology Revision Lectures, May 208 Z.A.Lykova It is essential that you read and try to understand the lecture notes from the beginning to the end. Many questions from the exam paper will be similar
More informationTHE GEOMETRY OF CONVEX TRANSITIVE BANACH SPACES
THE GEOMETRY OF CONVEX TRANSITIVE BANACH SPACES JULIO BECERRA GUERRERO AND ANGEL RODRIGUEZ PALACIOS 1. Introduction Throughout this paper, X will denote a Banach space, S S(X) and B B(X) will be the unit
More informationFIXED POINT THEOREMS FOR POINT-TO-SET MAPPINGS AND THE SET OF FIXED POINTS
PACIFIC JOURNAL OF MATHEMATICS Vol. 42, No. 2, 1972 FIXED POINT THEOREMS FOR POINT-TO-SET MAPPINGS AND THE SET OF FIXED POINTS HWEI-MEI KO Let X be a Banach space and K be a nonempty convex weakly compact
More informationAN F-SPACE WITH TRIVIAL DUAL AND NON-TRIVIAL COMPACT ENDOMORPHISMS
ISRAEL JOURNAL OF MATHEMATICS. Vol. 20, Nos. 3-4, 1975 AN F-SPACE WITH TRIVIAL DUAL AND NON-TRIVIAL COMPACT ENDOMORPHISMS BY N. J. KALTON AND J. H. SHAPIRO* ABSTRACT We give an example of an F-space which
More informationTHEOREMS, ETC., FOR MATH 516
THEOREMS, ETC., FOR MATH 516 Results labeled Theorem Ea.b.c (or Proposition Ea.b.c, etc.) refer to Theorem c from section a.b of Evans book (Partial Differential Equations). Proposition 1 (=Proposition
More informationA NOTE ON FUNCTION SPACES GENERATED BY RADEMACHER SERIES
Proceedings of the Edinburgh Mathematical Society (1997) 40, 119-126 A NOTE ON FUNCTION SPACES GENERATED BY RADEMACHER SERIES by GUILLERMO P. CURBERA* (Received 29th March 1995) Let X be a rearrangement
More informationTools 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 informationCHAPTER 7. Connectedness
CHAPTER 7 Connectedness 7.1. Connected topological spaces Definition 7.1. A topological space (X, T X ) is said to be connected if there is no continuous surjection f : X {0, 1} where the two point set
More information16 1 Basic Facts from Functional Analysis and Banach Lattices
16 1 Basic Facts from Functional Analysis and Banach Lattices 1.2.3 Banach Steinhaus Theorem Another fundamental theorem of functional analysis is the Banach Steinhaus theorem, or the Uniform Boundedness
More informationTHE SEMI ORLICZ SPACE cs d 1
Kragujevac Journal of Mathematics Volume 36 Number 2 (2012), Pages 269 276. THE SEMI ORLICZ SPACE cs d 1 N. SUBRAMANIAN 1, B. C. TRIPATHY 2, AND C. MURUGESAN 3 Abstract. Let Γ denote the space of all entire
More informationFragmentability 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 informationB. Appendix B. Topological vector spaces
B.1 B. Appendix B. Topological vector spaces B.1. Fréchet spaces. In this appendix we go through the definition of Fréchet spaces and their inductive limits, such as they are used for definitions of function
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationON THE ORLICZ-PETTIS PROPERTY IN NONLOCALLY CONVEX F-SPACES
proceedings of the american mathematical society Volume 101, Number 3, November 1987 ON THE ORLICZ-PETTIS PROPERTY IN NONLOCALLY CONVEX F-SPACES M. NAWROCKI (Communicated by William J. Davis) ABSTRACT.
More informationi=1 β i,i.e. = β 1 x β x β 1 1 xβ d
66 2. Every family of seminorms on a vector space containing a norm induces ahausdorff locally convex topology. 3. Given an open subset Ω of R d with the euclidean topology, the space C(Ω) of real valued
More informationPolishness of Weak Topologies Generated by Gap and Excess Functionals
Journal of Convex Analysis Volume 3 (996), No. 2, 283 294 Polishness of Weak Topologies Generated by Gap and Excess Functionals Ľubica Holá Mathematical Institute, Slovak Academy of Sciences, Štefánikovà
More informationChapter 3: Baire category and open mapping theorems
MA3421 2016 17 Chapter 3: Baire category and open mapping theorems A number of the major results rely on completeness via the Baire category theorem. 3.1 The Baire category theorem 3.1.1 Definition. A
More informationNon-linear factorization of linear operators
Submitted exclusively to the London Mathematical Society doi:10.1112/0000/000000 Non-linear factorization of linear operators W. B. Johnson, B. Maurey and G. Schechtman Abstract We show, in particular,
More informationWeak Topologies, Reflexivity, Adjoint operators
Chapter 2 Weak Topologies, Reflexivity, Adjoint operators 2.1 Topological vector spaces and locally convex spaces Definition 2.1.1. [Topological Vector Spaces and Locally convex Spaces] Let E be a vector
More informationE.7 Alaoglu s Theorem
E.7 Alaoglu s Theorem 359 E.7 Alaoglu s Theorem If X is a normed space, then the closed unit ball in X or X is compact if and only if X is finite-dimensional (Problem A.25). Even so, Alaoglu s Theorem
More informationCompact 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 informationMultiplication Operators with Closed Range in Operator Algebras
J. Ana. Num. Theor. 1, No. 1, 1-5 (2013) 1 Journal of Analysis & Number Theory An International Journal Multiplication Operators with Closed Range in Operator Algebras P. Sam Johnson Department of Mathematical
More informationReal Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis
Real Analysis, 2nd Edition, G.B.Folland Chapter 5 Elements of Functional Analysis Yung-Hsiang Huang 5.1 Normed Vector Spaces 1. Note for any x, y X and a, b K, x+y x + y and by ax b y x + b a x. 2. It
More informationContents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping.
Minimization Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping. 1 Minimization A Topological Result. Let S be a topological
More informationThe best generalised inverse of the linear operator in normed linear space
Linear Algebra and its Applications 420 (2007) 9 19 www.elsevier.com/locate/laa The best generalised inverse of the linear operator in normed linear space Ping Liu, Yu-wen Wang School of Mathematics and
More informationSéminaire d analyse fonctionnelle École Polytechnique
Séminaire d analyse fonctionnelle École Polytechnique P. ENFLO On infinite-dimensional topological groups Séminaire d analyse fonctionnelle (Polytechnique) (1977-1978), exp. n o 10 et 11, p. 1-11
More informationSOLUTIONS TO SOME PROBLEMS
23 FUNCTIONAL ANALYSIS Spring 23 SOLUTIONS TO SOME PROBLEMS Warning:These solutions may contain errors!! PREPARED BY SULEYMAN ULUSOY PROBLEM 1. Prove that a necessary and sufficient condition that the
More informationA SHORT INTRODUCTION TO BANACH LATTICES AND
CHAPTER A SHORT INTRODUCTION TO BANACH LATTICES AND POSITIVE OPERATORS In tis capter we give a brief introduction to Banac lattices and positive operators. Most results of tis capter can be found, e.g.,
More informationA differential operator and weak topology for Lipschitz maps
A differential operator and weak topology for Lipschitz maps Abbas Edalat Department of Computing Imperial College London, UK ae@doc.ic.ac.uk February 25, 2010 Abstract We show that the Scott topology
More informationIntroduction to Functional Analysis
Introduction to Functional Analysis Carnegie Mellon University, 21-640, Spring 2014 Acknowledgements These notes are based on the lecture course given by Irene Fonseca but may differ from the exact lecture
More information3 (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 informationExamples of Dual Spaces from Measure Theory
Chapter 9 Examples of Dual Spaces from Measure Theory We have seen that L (, A, µ) is a Banach space for any measure space (, A, µ). We will extend that concept in the following section to identify an
More informationFUNCTION BASES FOR TOPOLOGICAL VECTOR SPACES. Yılmaz Yılmaz
Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 33, 2009, 335 353 FUNCTION BASES FOR TOPOLOGICAL VECTOR SPACES Yılmaz Yılmaz Abstract. Our main interest in this
More informationMath 209B Homework 2
Math 29B Homework 2 Edward Burkard Note: All vector spaces are over the field F = R or C 4.6. Two Compactness Theorems. 4. Point Set Topology Exercise 6 The product of countably many sequentally compact
More informationFIXED POINT METHODS IN NONLINEAR ANALYSIS
FIXED POINT METHODS IN NONLINEAR ANALYSIS ZACHARY SMITH Abstract. In this paper we present a selection of fixed point theorems with applications in nonlinear analysis. We begin with the Banach fixed point
More informationLocally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem
56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi
More informationWeighted Chebyshev Centres and Intersection Properties of Balls in Banach Spaces
Contemporary Mathematics Weighted Chebyshev Centres and Intersection Properties of Balls in Banach Spaces Pradipta Bandyopadhyay and S Dutta Abstract. Veselý has studied Banach spaces that admit weighted
More informationOn duality theory of conic linear problems
On duality theory of conic linear problems Alexander Shapiro School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 3332-25, USA e-mail: ashapiro@isye.gatech.edu
More information1 Continuity Classes C m (Ω)
0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +
More informationSolutions: Problem Set 4 Math 201B, Winter 2007
Solutions: Problem Set 4 Math 2B, Winter 27 Problem. (a Define f : by { x /2 if < x
More informationON SUBSPACES OF NON-REFLEXIVE ORLICZ SPACES
ON SUBSPACES OF NON-REFLEXIVE ORLICZ SPACES J. ALEXOPOULOS May 28, 997 ABSTRACT. Kadec and Pelczýnski have shown that every non-reflexive subspace of L (µ) contains a copy of l complemented in L (µ). On
More informationGlobal minimization. Chapter Upper and lower bounds
Chapter 1 Global minimization The issues related to the behavior of global minimization problems along a sequence of functionals F are by now well understood, and mainly rely on the concept of -limit.
More informationReal 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 informationTHE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS
THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS Motivation The idea here is simple. Suppose we have a Lipschitz homeomorphism f : X Y where X and Y are Banach spaces, namely c 1 x y f (x) f (y) c 2
More informationPart III. 10 Topological Space Basics. Topological Spaces
Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.
More informationFunctional Analysis I
Functional Analysis I Course Notes by Stefan Richter Transcribed and Annotated by Gregory Zitelli Polar Decomposition Definition. An operator W B(H) is called a partial isometry if W x = X for all x (ker
More informationMAT 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 information1.2 Fundamental Theorems of Functional Analysis
1.2 Fundamental Theorems of Functional Analysis 15 Indeed, h = ω ψ ωdx is continuous compactly supported with R hdx = 0 R and thus it has a unique compactly supported primitive. Hence fφ dx = f(ω ψ ωdy)dx
More informationarxiv:math/ v1 [math.fa] 21 Mar 2000
SURJECTIVE FACTORIZATION OF HOLOMORPHIC MAPPINGS arxiv:math/000324v [math.fa] 2 Mar 2000 MANUEL GONZÁLEZ AND JOAQUÍN M. GUTIÉRREZ Abstract. We characterize the holomorphic mappings f between complex Banach
More informationProblem Set 2: Solutions Math 201A: Fall 2016
Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that
More informationPlasticity of the unit ball and related problems
Plasticity of the unit ball and related problems A survey of joint results with B. Cascales, C. Angosto, J. Orihuela, E.J. Wingler, and O. Zavarzina, 2011 2018 Vladimir Kadets Kharkiv National University,
More information4 Countability axioms
4 COUNTABILITY AXIOMS 4 Countability axioms Definition 4.1. Let X be a topological space X is said to be first countable if for any x X, there is a countable basis for the neighborhoods of x. X is said
More informationThe Banach Tarski Paradox and Amenability Lecture 20: Invariant Mean implies Reiter s Property. 11 October 2012
The Banach Tarski Paradox and Amenability Lecture 20: Invariant Mean implies Reiter s Property 11 October 2012 Invariant means and amenability Definition Let be a locally compact group. An invariant mean
More informationMaths 212: Homework Solutions
Maths 212: Homework Solutions 1. The definition of A ensures that x π for all x A, so π is an upper bound of A. To show it is the least upper bound, suppose x < π and consider two cases. If x < 1, then
More informationNotes for Functional Analysis
Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) November 6, 2015 1 Lecture 18 1.1 The convex hull Let X be any vector space, and E X a subset. Definition 1.1. The convex hull of E is the
More informationII - 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 informationAN EFFECTIVE METRIC ON C(H, K) WITH NORMAL STRUCTURE. Mona Nabiei (Received 23 June, 2015)
NEW ZEALAND JOURNAL OF MATHEMATICS Volume 46 (2016), 53-64 AN EFFECTIVE METRIC ON C(H, K) WITH NORMAL STRUCTURE Mona Nabiei (Received 23 June, 2015) Abstract. This study first defines a new metric with
More informationConvex Geometry. Carsten Schütt
Convex Geometry Carsten Schütt November 25, 2006 2 Contents 0.1 Convex sets... 4 0.2 Separation.... 9 0.3 Extreme points..... 15 0.4 Blaschke selection principle... 18 0.5 Polytopes and polyhedra.... 23
More informationWeek 5 Lectures 13-15
Week 5 Lectures 13-15 Lecture 13 Definition 29 Let Y be a subset X. A subset A Y is open in Y if there exists an open set U in X such that A = U Y. It is not difficult to show that the collection of all
More informationBASES IN NON-CLOSED SUBSPACES OF a>
BASES IN NON-CLOSED SUBSPACES OF a> N. J. KALTON A Schauder basis {x n } of a locally convex space E is called equi-schauder if the projection maps P n given by / oo \ n are equicontinuous; recently, Cook
More informationCompleteness and quasi-completeness. 1. Products, limits, coproducts, colimits
(April 24, 2014) Completeness and quasi-completeness Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/fun/notes 2012-13/07d quasi-completeness.pdf]
More informationMATH MEASURE THEORY AND FOURIER ANALYSIS. Contents
MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure
More informationCommutator estimates in the operator L p -spaces.
Commutator estimates in the operator L p -spaces. Denis Potapov and Fyodor Sukochev Abstract We consider commutator estimates in non-commutative (operator) L p -spaces associated with general semi-finite
More informationS. DUTTA AND T. S. S. R. K. RAO
ON WEAK -EXTREME POINTS IN BANACH SPACES S. DUTTA AND T. S. S. R. K. RAO Abstract. We study the extreme points of the unit ball of a Banach space that remain extreme when considered, under canonical embedding,
More informationIf Y and Y 0 satisfy (1-2), then Y = Y 0 a.s.
20 6. CONDITIONAL EXPECTATION Having discussed at length the limit theory for sums of independent random variables we will now move on to deal with dependent random variables. An important tool in this
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
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 informationCombinatorics in Banach space theory Lecture 12
Combinatorics in Banach space theory Lecture The next lemma considerably strengthens the assertion of Lemma.6(b). Lemma.9. For every Banach space X and any n N, either all the numbers n b n (X), c n (X)
More informationRESEARCH ANNOUNCEMENTS OPERATORS ON FUNCTION SPACES
BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 78, Number 5, September 1972 RESEARCH ANNOUNCEMENTS The purpose of this department is to provide early announcement of significant new results, with
More informationStabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints
Stabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints Joseph Winkin Namur Center of Complex Systems (naxys) and Dept. of Mathematics, University of Namur, Belgium
More informationTopological 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 informationTHE NEARLY ADDITIVE MAPS
Bull. Korean Math. Soc. 46 (009), No., pp. 199 07 DOI 10.4134/BKMS.009.46..199 THE NEARLY ADDITIVE MAPS Esmaeeil Ansari-Piri and Nasrin Eghbali Abstract. This note is a verification on the relations between
More informationTHEOREMS, 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 informationFREE SPACES OVER SOME PROPER METRIC SPACES
FREE SPACES OVER SOME PROPER METRIC SPACES A. DALET Abstract. We prove that the Lipschitz-free space over a countable proper metric space is isometric to a dual space and has the metric approximation property.
More informationPAPER 5 ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS
MATHEMATICAL TRIPOS Part III Tuesday, 2 June, 2015 9:00 am to 12:00 pm PAPER 5 ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS There are THREE questions in total. Attempt all THREE questions. The questions
More informationON WEAK INTEGRABILITY AND BOUNDEDNESS IN BANACH SPACES
ON WEAK INTEGRABILITY AND BOUNDEDNESS IN BANACH SPACES TROND A. ABRAHAMSEN, OLAV NYGAARD, AND MÄRT PÕLDVERE Abstract. Thin and thick sets in normed spaces were defined and studied by M. I. Kadets and V.
More informationTHE DUAL FORM OF THE APPROXIMATION PROPERTY FOR A BANACH SPACE AND A SUBSPACE. In memory of A. Pe lczyński
THE DUAL FORM OF THE APPROXIMATION PROPERTY FOR A BANACH SPACE AND A SUBSPACE T. FIGIEL AND W. B. JOHNSON Abstract. Given a Banach space X and a subspace Y, the pair (X, Y ) is said to have the approximation
More informationExponential stability of families of linear delay systems
Exponential stability of families of linear delay systems F. Wirth Zentrum für Technomathematik Universität Bremen 28334 Bremen, Germany fabian@math.uni-bremen.de Keywords: Abstract Stability, delay systems,
More informationNAME: Mathematics 205A, Fall 2008, Final Examination. Answer Key
NAME: Mathematics 205A, Fall 2008, Final Examination Answer Key 1 1. [25 points] Let X be a set with 2 or more elements. Show that there are topologies U and V on X such that the identity map J : (X, U)
More informationMeasure 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 informationContinuity of convolution and SIN groups
Continuity of convolution and SIN groups Jan Pachl and Juris Steprāns June 5, 2016 Abstract Let the measure algebra of a topological group G be equipped with the topology of uniform convergence on bounded
More information2 (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 informationON LEFT-INVARIANT BOREL MEASURES ON THE
Georgian International Journal of Science... Volume 3, Number 3, pp. 1?? ISSN 1939-5825 c 2010 Nova Science Publishers, Inc. ON LEFT-INVARIANT BOREL MEASURES ON THE PRODUCT OF LOCALLY COMPACT HAUSDORFF
More informationINEQUALITIES FOR SUMS OF INDEPENDENT RANDOM VARIABLES IN LORENTZ SPACES
ROCKY MOUNTAIN JOURNAL OF MATHEMATICS Volume 45, Number 5, 2015 INEQUALITIES FOR SUMS OF INDEPENDENT RANDOM VARIABLES IN LORENTZ SPACES GHADIR SADEGHI ABSTRACT. By using interpolation with a function parameter,
More information