estimate the diameters of the octahedron B, 1 <i?i<oo, in the metric of Let us specify some of the notation to be used below.
|
|
- Ella Harvey
- 6 years ago
- Views:
Transcription
1 SOME PROPERTIES OF MATRICES OF BOUNDED OPERATORS FROM SPACE i\ TO l\ B. S. Kashi n Izvestiya Akademii Nauk Armyanskoi SSR. Matematika, Vol. 15, No. 5, pp , 1980 UDC Introduction. Assume that l n n, 1 O<oo, n = l, Is a space of vectors x \ Vp with norm W" = 23 \x% \" I f o r i < p < r o and M,«-max x,, while B n is a unit ball in I. For every linear operator Г:/?"-> /? ш we set [7" / {p,?) = sup Г(у)((, т. If i n R we consider the basis!-z ; -)?_, with zj = (0,-, 1,-, 0), 1</<я, then obviously a one-to-one correspondence arises, such that every linear operator T corresponds to its own matrix T' = {tij], 1 < i < m, l<&] < n in basis u.i for which the j-th row coincides with vector T (zj) R m. For matrix T' we set, by definition, i.e., a matrix with n rows and m columns \T\ P, q) =\T\p,,j = sup v (1) where 1 <p> q < -f 1. Я q'i Note that the norm of matrix T" that we have introduced, чт\ р, q), coincides wlzi the (p, q 1 ) norm of bilinear 2 hi *> У/ defined in [1]. This paper, which consists of three sections, is an elaboration of the author's short paper [2] and contains the proofs of the assertions that are merely formulated in [2]. In 1 and 2, we investigate certain properties of matrices of operators ТгЩ-+1$ with norm Г )о>,2)<1 in particular, certain properties of orthonormalized matrices. In 3, we consider the properties of mxn matrices associated with bounds for the diameters, and estimate the diameters of the octahedron B, 1 <i?i<oo, in the metric of Let us specify some of the notation to be used below. 2<^<7<oc. We denote by E n m, n<m the set of all n-element combinations of numbers with 1 -C4*C* * "^C'VCm. For each matrix A [a,j}" ;W, we define matrix A* (a*?,,, setting I U, for 1981 by Allerton Press, Inc. # j a 'J> for i>j i,... l<^j ~~ 44
2 For given finite set G we denote by G the number of elements in it. Finally, if S n is the set of all permutations of the combination of numbers l,2,...,n and [kj< n, = з 5", then we denote by A Q the matrix oi. *,)",==1. i.e., the matrix obtained by permutation in order of a rows of matrix A. 1. For matrix A = [ai/l, 1 > / <m, KjKa with ИЬ. 2><1 and combination 2, we denote by A(2) a square matrix of order a fa*/}, / 2, 1 </< n. We will be interested in the behavior of the norms M'(2) i2,з> and \A C 2 )h. <,>. 1<9<2. 1</=у'< It is easy to see that matrix А п =\ац\, 1</<2л 1, 1</<п with в»/**! for л and o,-y==0 in the remaining cases possesses the property that 1) IIA,. 2,= 1; 2) for any combination ^^E" n _ v L4,< (2) <2,2) 1 At the same time, the following theorem is proved in [2]. Theorem A. For any e>0 there exists a constant p(e)>0. such that for any matrix А \ац\, 1 < im, 1</<л with <>(:) there exists a combination of integers m Q E% for which M(.')l2.2,<s. of e. In the proof of Theorem A in [2], no estimate was given for H 3 )as a function In this section, in particular, we will obtain such an estimate. Note that if for m x n matrix A with И Ь, 2) *C 1 we consider the average value of the norm \A (3) ( 2, with respect to all combinations Q: ЕЛА, q)^-±r 2 M C *, ), then it is obvious that for «7 = 2, E X (A, 2)-<l, but to obtain for every m x n matrix A wi t h И (2,2> < 1 a bound Е г (А, 2)<i<l, where у Is an absolute constant, it is necessary that n be much smaller than m. This follows from the fact that, as we can readily establish, for matrices А п,г=\а^\, 1</<[л 2 "'], 1 < j < n, e > 0, where aij 1 for 1</=У<л and aij 0 otherwise, we have WmE^An,... 2) =1. If fori?, 1<<7<2, for given m x n matrix A and combination 2 6 E n m we consider the quanity \A <8*s,4i> then, since Mj*<it,w * w H* for*6 ", it follows that Я И ( 2 M(2. </)-<л 1 "~" 2 '% 2 and therefore 2 j (A, q) < max И (2)fo, < л"«-"*иь. 2)- (2 ) Unlike the quantity E (A,2), f or E l {A, q), l<gr<2, even form>cn,* we can obtain a *Here and henceforth, K,C,C,denote positive absolute constants. 45
3 nontrivial bound (i.e., one that is better than fn"*-" 2 lafa.»7 < 1, ) On the basis of this, we can also prove a refinement of Theorem A (see Theorem 2 of this paper). We have the following. Theorem 1. For q, 1<<?<2 there exists a constant such that for any m x n matrix A with И1Ь, 2, < 1 and any #<1 we have the bound Theorem 1 yields the following Corollary 1. For any pair of numbers q> 1 < q < 2 and AT>0 there exists a constant C(q,K) for which, under the assumptions of Theorem 1, Ha) Н^:И ( 2 )l<2. >C(q, K)-1 ^(~)-n f < c m к-". Corollary 2. For r>l and 2), under the assumptions of Theorem 1, E r (A, q) a ((C» m )-> S И (S)^,)'" < C'(r,q).(\n ^V 2. n, - I / S Lemma 1. For any function /(x) L 2 (0, 1) with < 1, Wk*>ff. 1 s 9 <2 for any z<i we have the measure bound m = m {x (z (0, 1) : / >*) > - z') 2 ~ Q Proof. Clearly, У"<Ши = 'уа^х+f / * rfx< J/ /»rfx + z', (3) [0,!!/ О 2 where Xi- is the characteristic function of set E. (with indexes 2/2 - q and 2/q), we obtain Employing the Holder inequalil 1 I _2_ 2- I 2-я jv / * dx< * ' (J/V* ) 1, 2 < (m )~о 0 \ 2 2-y It follows from this last inequality and from (3) that?'<г'+(т )'. xj,«>yn Vq - l», Lemma 1 Is thus proved. Lemma 1'. If f or </, 1<<7<2 and y (0, 1) for vector х= х( # я we havewu<l, then \\i:\ Xi \>±yn-<j\>n(i) ,- 46
4 Indeed, consider function f(x) with / (x) = x t \ n for - < x <, l<i* n. Then n n i/k'<1, while 1 " ч 41 ( л < = 1 / ( Therefore, on the basis of Lemma 1, I j*m> рг«-,д } - l): /(x) >- -) > (A"jik. Lemma 2. For x = {JO } 6 with * *«<1. 1<»<S and (0, 1) we have the inequality Proof. Consider the set Q y {z'6[l, m] : \ Xi > ~ t/-n- 1/2 J. Since ui,m <l, we have In view of Lemma 1', we have the relation Ю,1<~ (4) С, с j Q 6 Е' я : IS t\qj > л (f) 2 " 2^ [-С;. (5 ) To bound \G' y \ for the given quadruple of numbers m, n, r, p with «>2n, г<я, / </>, m >/>-2we bound the number G (m, л, r, />)) of sets ^^ 'J, such that Qf){1, p]\ > r. We have min [p. я) C /л (л, r, p) = 2 C* Cj-4. Using the bound C*</^ ^» we find from the last equation that min ip. л),... v я с K/(m, л, r, p*<v V ^ у ^ у \ < (б) < К 1 ; р' (т - р)- г max? \ < С л в г,71" i<^«vs s (л s)"- s / In view of (4) and (5), G' does not exceed \G(m, n, r, p)\ with Therefore it follows from (6) that 2q 2tf ^- G >Ke Lc- n -(ij] «(7) Since Cj,>C, - "^ j, the right side in (7) does not exceed 47
5 In view of ( 5 ) and inequality ( 7 ), taking account of ( 8 ) and of the fact that sup у _ 2 (I ) J «i '-С,,, we find f ( 8 ) 1С,1 < (B;>- -ex P I n- (f) 24 ' 2 " in ^ ] c» ; 5;» C,Q. Lemma 2 is thus proved. Proof of Theorem 1. It is well known (see, e.g., [3]) that for n = 1,2,.. on sphere {x: H** 8 ***' there exists a combination of vectors A*= {*} with!д Л < C" such that for every vector x, x 7 n = 1, there exists a vector е л with \x el -L. *2 * 4 It is easy to see that for any vector 2 f E" ( 9 ) Therefore, 2 6E«n : U (ОЛЬ, > e, [d 6 ^ ( (j «y e, )' J > (10) consequently, 1/Л 1/0-1,2? \"«^ 1 - J / Л 1 1 / ( Ш Sinci we have for any vector / m / \2 \ 1/2 and, bounding the right side in (11) using Lemma 2, we obtain (see (11)): /(j,ko(i» f )-C;(i) (SO A,. ^-ВДф Theorem 1 is thus proved. Theorem?. There exists an absolute constant В > 0 such that for any m x n matrix A = (ои/ with ИЛа2)< 1 there exists a combination 2^ " Я for which H (2)1(2 21 < <*(-тг- The proof of Theorem 2 employs (in addition to Corollary 1) the following result of Grothendieck [ 4 ], which is formulated here in the particular case required by us. 48
6 Theorem В (Grothendieck). There exists an absolute constant С such that for any linear operator T:t* -» L 1 (0, 1) there exists a set <=(0, 1), m E > ~ with sup Г(,) и (,<С уе* л 2 Corollary В. For any matrix 5 = [Ьц)J_, 2 (1, there exists a combination 2, а с [1, 2л], 0 > n, such that Hfe/I ^8, 1, < ^ Д,, ( 1 2 ) To prove Corollary В we consider the operator T-. /" Z, 1 y = 'y : \^l n, into function f(z), where that carries vector /(*) = %m *«for liu < г < i,i < / < B, /=1 л л з Using Theorem B, let us find the set "=[0, 1], m > for which IT (o)lfm 4 < С sup ЦГ(»} (,. i,; we put yw n 2 It is easy to see that 2..* л and that expression (12) holds for Q. Proof of Theorem 2. Clearly, we can assume that m > 4n. Corollary 1 implies (for q = 1, к = 2) that there exists a constant С such that for matrix A' =- njtjj 1</<м, К/<2л, combination 2'^ ^with where а,, = а,у for 1 </ < л and <r y = 0 for />л, there exists a И i c ')ita, i) < (13) In" 2 я Now, applying Corollary В to matrix 4(2') K/<eWi8*, for which, in view of (13), IA (2') (2,1, < C t л 1 ' 2 In 1 '-, we obtain combination 2c=2', 2c ; с И (2)11(2. :><- 4^- Theorem 2 is thus proved. In" 2 я 2. The following problem, formulated long ago by A. N. Xolmogorov, is well known in the theory of orthogonal series: assume that l?*i*))*h> 1) is an orthonormalized system of functions. Does there exist a permutation of the natural series - = \K \n\, for which the system {?* (x))n^\ is a convergence system (i.e., every series converges almost everywhere)? The "finite-dimensional" version of this problem has the following form: does there exist an absolute constant С such that for any 49
7 orthonormalized combination Ф = k»\ ** * S# such that jtp (x))^l,, x (0, 1) there exists a permutation 1 ( I /VU) I ) ;;i.v^«. r>v m HJ! oe^hh <c? (14) In [ 5 ], Garsia expressed the hypothesis that a bound stronger than ( 1 4 ) obtains; specifically,, kn "J,, )6,.v -Р д л.» w,, я 2 <" **. ('j-(o.n<c. (15) Let us recall that, in view of the Mer.'shov-Rademacher lemma (see [ 6 ], p ), "nr any orthonormalized combination sup sup [в я! B$.V(.r,, 1.V(.«l< si 2 Л(л) a «t* ( *) i=(0, 1) <С1пЛ>. ( 1 6 ) Garsia himself proved the following result in [7]. Theorem С (Garsia). For any orthonormalized combination Ф= <<р я and any combination {a }(zb x there exists a permutation \кп} з = з (Ф, { ал }) for which лги),, SU P I 2 a^(4 <C. (17) Note that the proof of this result is based on the estimate for the given combination of numbers of the average The original reasoning of Garsia was complicated; in [5], he offered a simple proof of the bounds for S p ({b,,)} that is entirely analogous to the proof of the classical Kolmogorov inequality for the majorant of partial sums of a series in a system of independent functions (see [ 8 ], p. 6 8 ). The distribution function i 1 's /V _ behaves in many ways similarly to the distribution function of a sum of independ N j.-.t random variables. We can show, e.g., that for any combination b = 0 л=1 50
8 ~f(y, {о.}) < Cm,х -... i лг V 6 г я (х) >C t i/ [j у > О, where [r (*)) =i is a Rademacher system. Comparison of Kolmogorov's problem or of Garcia's assumption (14) and of Garcia's theorem (see (17)) reveals that bound (17) yields a solution of a simpler problem. Another possible simplification of Kolmogorov's problem is to obtain, for a given orthonormalized combination Ф {?«(x))jl, and given function /V(x),l < C/V(x)<yv, bounds for the quantity II,v <T > ii inf sup а» * (*) (18) ч*я!-»(?. Л'(г)) \a n\ В, 1 Ji/><0. li In 2, we obtain some results involving estimation of (18). We consider the model problem of estimating, for given matrix A = {at/}' j=i, the quantity inf i(a )"h. «) (the notation А д and A# was introduced at the beginning of this paper). Theorem 3. For any matrix A = {a,,},". with рл <г.2> < 1 and number q withl<<7<2 there exists a permutation of rows OQ such that Before proving Theorem 3, we should note that it follows from (16) (see also [9]) that for any n x n matrix A Ah t) <Cla n \Afa, 2). ( 1 9 ) Therefore for any n x n matrix A and ef [1, 2) И «Ь <»«^ 2) с ( I n л ). i, - V 2 Д 2 w < (20) 1 The typical example here of the Hilbert matrix H n = \п и \ with A//= ; for 1 <V» /<n. i j, andft, ; =0, 1 < i < n, for which \H^, 2)!<2* (see [1]), shows that estimate (20) cannot be improved. Lemma 3 (see, e.g., [8], p. 78, 8). Let [ft ( *)), =1 be a combination of independent functions specified on the segment [0, 1] and such that m (x :ft ix) =1} = X>0, m {x :/,(x) = 0 =1-л, 1</<S. Then 2/!(x) < j[ <r;0<-r.< T (/.)<1. Lemma 1 directly yields the following. Lemma 3'. Assume that {/<(*)}*,, -r^(0, 1)'is a combination of functions that assume only values 0 and 1, such that for every combination l?_, 1 </t<s with e ; = o or 1 51
9 where Х>0. Then т (*:/,(*)=e,, 1</ <*) п {*:Д + 1 (*) = 1))> >>т [*!/,»«,, 1 < / C/fc), / s - Proof of Theorem We denote by p the absolute constant p(l/2) (see Theorem A). For every matrix В={а,,}, 6 г </,/<А» with 1 ^4,<4 2 <n and $t>p~' we A. define its partition into four submatrices (5),, r = l, 2, 3, 4, setting A A (5)! =,a l; }, q + 1 < I, / * Ь 3 ; (B) 2 la,/}, q + 1 < i < 6 2. *i < ' < <7. (5) 3 = (my), f> x < /'< t/, (S) 4 = [aij], b x < / < q, q + 1< у < 6 г, where the number q = q(b) is determined from the expressions bt?«p (*t-ai+l), 6 2 -</ + i>p (6 г 6 г +1). 2. Let us set up the sequence of partitions Д 5 = д< (A), s= 0,1,-, s,, of the given matrix A into submatrices. The zero partition A Q consists of the matrix A = itself. If partition 'л, s>l is constructed and consists of submatrices [Я»- 1 )**-!, then to construct partition Д, those matrices of partition Л, which intersect the diagonal i = j of matrix A (and, by definition, they are all square) and are of order >l-f P -> can be divided into four parts (Z*-') r l<r<4 in accordance with the rule described in Ц, stops. We denote partition Д by Д. At some step with number s 0 <C In n the process in question s Let us specify the desired permutation!^///_i = 3 o= 5 oh) For this we first construct the combination of permutations - r, l<r<s 0, where a Q coincides with a g. To construct a^, using Theorem A as applied to matrix Wi)}, <i +1 < I < n, l</< with q = q(a) (see 1), we find a combination Qc[l, n],\q\=n-q such that fjoi/li q +1 < /<n, / < 23 (3> 2) < ~ and as rj, we take any permutation о for which э(2)=[<7+1> я]. If permutations a x, v««i-i s < s 0 have been constructed, then to construct а s we consider all submatrices A ^={at,,,_,</, } L + 1 < < L+\, 1 < i»<ft-i of the partition * a «l o f matrix m, y>l* t»n which intersect the diagonal i = j and are of order and, as in the case of a^, using Theorem A, combinations of integers -'.cfh + l, vn], Up<".,._,, such that M = /а H q (A; "') (««e par. 1), and I км, U ч ИГ') u l <' < fe+»> / s b.»'< j21) 52
10 Then we take a permutation a such that n 2 ) fl 3 ff'» + l. 'V+i]) = [^ -l, fc+d, l 0<.i,-i, (») =^[«7 ИГ 1 ) + 1, К P< (22) and we set j,e=}«e,-i' 4. We will show that * s, = 3 0= is the desired permutation; for this we bound the norm Под]. 1 <Л у < nj, 2 q). Assume that K^JW',^, is a combination of matrices constructed in accordance with the rule described in 1 for each matrix g, which intersects the principal diagonal and is of order > l -f sh, of the partition of Д of matrix {aia, (/) } 1<4 у<л. has the form Expression (23) and the bound Then it is easy to see that the matrix 4-1 ^ Д U U <#lb i-i i.i <2= (a 4 I, l< /<n, 1 < у, wherein, <, i</<. (23) IA&2,2> <. 1 imply that p and therefore IIQ-(A 0)!!I,2,2;<C, IQ-(A )-!,*. < Сл 1^. (24) Let us bound the norm i:qs<2. «> For this we first bound I у (&)J for given s, l<s < ln-l 1(2, 0) ^s 0 1. if for each matrix R s we denote by (where s) 1 or 3) the matrix of the partition д ен о <к<s 2, which contains matrix R, then, by definition of permutation a^, where p (is s) = % 1. *eiu. *-2 t К fyjto. 2. < irfh 2) < 2-"fih»), We can readily deduce from Lemma 3' that, for certain constants f, 0 <-;< 1, and c 0 >0, the sum of the orders of the matrices Obviously, where Ш 2,9) ( 2 5 } 2 rank (**)< m*. (26) 2, (?) I 1(2,?) & = и /г; ; & ==. и /г : 1*611. l*jl : Я (!* *) * c l'6 l. I* s l : /'(l*. j) > f*>' Using the following inequality to bound the normil/wtae): (27) 53
11 Z*,,, ) <(rankb)»«->/» fl r., 2), (28) as well as the inequality l#jb, 2) <1 (which follows from the fact that #Д 2. j)< < maxlajjjfl, 2) < И, 2, 2 )'< 1), and bound (26), we obtain RA..,)<«, "-" 2 T,,, "-,/2) ; 0< t <1. (29) To bound j/?j(2,o-) we employ inequalities (25) and (28), and find 3k < / l,"-, ' 2 /?:!(,, 2, < n 1 *- 112 max м,и.>. г) < ( 3 0 ) < n"~"* max ra (2, 2) <2 n "'-".2- ;;/' Iv-. s) >c,* It follows from (29), (30), and (27) that "Ьг) ^ ( 3 D and hence 1 _ Combining inequalities (32) and (24), we obtain the requisite bound f or И(Л Г )-Ц, 2, «> Theorem 3 is thus proved. In concluding this section, we will formula,e an assertion that can be prov using Corollary 2 and the partition of matrix!a» I; j into binary blocks. Assertion. For any matrix -4 = ao},%i with ИЬ.г><1 The assertion yields a better bound for the average (over all permutations of columns of A) for the quantity H tt i!(2. «> than does the bound С (In n) л"«- 1/2 which follows trivially from (19). 3. In this section we offer a bound for th«kolmogorov n-diameter d n (5, I ) of octahedron B in space % % the method of proof has some common features with that used in 1. The definition of the diameter, as well as a number of results regarding bounds for diameters of finite-dimensional sets, may be found in [10, 11]. is valid: It is well known ([12]; see also [10], p. 237) that the following equality «маг,/?)~(2^) ад (зз) It follows from (33) that for m>2n and 1<<7<2 54
12 1 У 2 <d n (ВТ, О <1. (34) Here we will obtain a bound that is uniform in n and m>'.ln for the diameter d {BT, С), 2< г/< то - T reasoning in this section is also applicable if m<2n, but we will com'ine ourselves to the case Л1>2л, which is of importance for applications to bou ids of diameters of functional classes. Theorem 4. For л = 1, 2, m>2n and 2<</<o we have the inequalities j min (1, m 1 '* n-" J ) < (B?, /-) < С (<j)min (I, m 1 -* я-"»). (35 ) Proof. a) Upper bound. For т^>я* я the upper bound is obvious, since in this case min (1, m 1^ л-"-') = 1, while the diameter d n {B'(\ / ) <1 for any numbers m, n, q. For m n Qn, using the obvious inequality H/"<<m" 4«and the bound for the diameter d n (B{', / ) that was obtained by the author in [13], in accordance with which, for m<m\ d n {B?, С (/.), we have d n (5;', /") < m 1 * d n {Bf, I'Z) <C(q)- m 1 '" в ' % b) Lower bound. For n = 1, the bound can be readily verified directly, artd therefore in what follows we will assume that п>1, т>2л. Lemma 4 ([14]; see also [10], p. 237). the inequality where for. I m 2 2,)>m - n, For any plane Lc R m, dim L = л we have The proof of the lemma is very simple; nonetheless, the lemma is frequently quite useful. In particular, it yields a lower bound f or 4 n (5, /?') (see (33)). Lemma 4'. For any combinations of vectors f«and [ЫЙ, the scalar product (et, ;,)=1, 1-%;/<2л, we have the inequality e «such that Vi/ tw- (36) ZJ II Е ' i v)r^n. Indeed, consider matrix A with 2n columns and n rows, where the i-th column of this matrix coincides with vector е.. Assuming that bound (36) is not true, we obtain that for subspace L<zR 2n, 2л stretched onto the row vectors of matrix A we have 2 p /» ' < C "» a n d this contradicts Lemma 4. Now assume that the number q, 2<<7<[oc is fixed. (n, m) we have the inequality </ (В, l ) >, then '' 4 If for pair of numbers 55
13 min (1, m x 4-V- ) ^ _1 < d n ( B m t [m^ i.e., in this case the lower bound in ( 3 5 ) is valid. If dn(b, I",'), we consider the plane L с R* t dim L = n, for which 4 sup щ (L, x) = max Pl (L, m) = d r. {BP, /"'). ( 3 7 ^ Taking in L the basis {y^}" v гл /?", we specify plane L by a matrix with n rows y- and m columns!&},*,. Expression ( 3 7 ) and the inequality d (B, Z )< imply that there exists a combination of vectors Ь f R a such that a) 2 l(i.,e>)l«<</«v^r. T). b) 1 <^ г ^ m Consequently, for combination of vectors?, = ii we have the bounds a) 2kb, /)! < (у)'<«(я\ С); 1 < i < m, ( 3 8 ) Consider the sum {h. e; )=1. It follows from ( 3 8 ) that 5-2 e y ) «. 1 i, r < m (j) <«(.9Г,./Г). ( 3 9 ) Now consider the sum Г=2 2, *,) «, where in sum T the outer summation is performed over all combinations term ej)\" appears T C'mZ 2 2 times in the sum, and therefore Q El\ т cs4-^<с2г5.т/^у..й(дг, о. (4o) It follows from (40) that we can find a combination 2 m such that Pi. 2j(1,-, e,)»< Г-(С^Г)- 1 --(уу.^.(5г, О О т -2 т (41) Since Сл?Г -(С«) 1 = 2п{2п-\)(т (т-\))"\ the right side in (4l) does not exceed 5 6
14 57 \з/ т-1 Now let us bound the left side in (41) from below. Ы,,> r4i- lli \x\,r, v>2, r = l, 2,-, Eq. (38b), and Lemma 4, we obtain 4 2 ^>(4п*)^- ю (2 (; e,) 2 )' /2 > (4 л') 1 '"-' V 2 = 4""-" 2 V'<- -J/2 ' ;e-' ' j Using the inequality (43) From (41) and (43), taking account of (42), we conclude that 1.3 / О ч и.in - 1/2 X(m-l)'"--> it " «*. 8 4 Theorem 4 is thus proved. REFERENCES 1. G. Hardy, D. Littlewood, and G. Polya, Inequalities [Russian translation], IL Press, Moscow, B. S. Kashin, "One property of bilinear forms," Soobshch. AN GruzSSR, L. F. Tot, Arrangements on a Plane, on a Sphere, and in Space [in Russian], Fizmatgiz, Moscow, A. Grothendieck, "Resume de la theorie metrique des produits tenzoriels topologiques," Bol. Soc. Mat., Sao Paulo, vol. 6, nos. 1-2, pp. 1-79, A. Garsia, Topics in Almost-Everywhere Convergence, Markham, Chicago, ' 6. S. Kaczmarz and G. Steinhaus, Theory of Orthogonal Series [Russian translation], Fizmatgiz, Moscow, A. Garsia, "Rearrangements for Fourier series," Ann. of Math., vol. 79, no. 3, PP , V. V. Petrov, Sums of Independent Random Variables [in Russian], Nauka Press, Moscow, D. E. Men'shov, "Sur les series des fonctions orthogonales III," Fung. Math., vol. 10, pp , V. M. Tikhomirov, Some Problems of Approximation Theory [in Russian], Izd. MGU, Moscow, B. S. Kashin, "Diameters of some finite-dimensional sets and classes of smooth functions," Izv. AN SSSR. Ser. matem., vol. 4l, no. 2, pp , S. B. Stechkin, "Best approximations of specified classes of functions by arbitrary polynomials," UMN, vol. 9, no. 1, pp **, B. S. Kashin, "Diameters of octahedra," UMN, vol. 30, no. 4, pp , A. N. Kolmogorov, A. A. Petrov, and Yu. M. Smirnov, "One Gauss formula from the theory of the least-squares method," Izv. AN SSSR. Ser. matem., vol. 14, pp , October 1979 Steklov Mathematics Institute, AS USSR
REMARKS ON ESTIMATING THE LEBESGUE FUNCTIONS OF AN ORTHONORMAL SYSTEM UDC B. S. KASlN
Мат. Сборник Math. USSR Sbornik Том 106(148) (1978), Вып. 3 Vol. 35(1979), o. 1 REMARKS O ESTIMATIG THE LEBESGUE FUCTIOS OF A ORTHOORMAL SYSTEM UDC 517.5 B. S. KASl ABSTRACT. In this paper we clarify the
More informationStorm Open Library 3.0
S 50% off! 3 O L Storm Open Library 3.0 Amor Sans, Amor Serif, Andulka, Baskerville, John Sans, Metron, Ozdoby,, Regent, Sebastian, Serapion, Splendid Quartett, Vida & Walbaum. d 50% f summer j sale n
More informationAbout One way of Encoding Alphanumeric and Symbolic Information
Int. J. Open Problems Compt. Math., Vol. 3, No. 4, December 2010 ISSN 1998-6262; Copyright ICSRS Publication, 2010 www.i-csrs.org About One way of Encoding Alphanumeric and Symbolic Information Mohammed
More informationON ALGORITHMS INVARIANT T 0 NONLINEAR SCALING WITH INEXACT SEARCHES
Chin. Aim. of Math. 8B (1) 1987 ON ALGORITHMS INVARIANT T 0 NONLINEAR SCALING WITH INEXACT SEARCHES 'В щ о К л х о д ш (ЯДОф).* Oh en Zh i (F&, Abstract Among the researches of unconstrained optimization
More informationPLISKA STUDIA MATHEMATICA BULGARICA
Provided for non-commercial research and educational use. Not for reproduction, distribution or commercial use. PLISKA STUDIA MATHEMATICA BULGARICA ПЛИСКА БЪЛГАРСКИ МАТЕМАТИЧЕСКИ СТУДИИ The attached copy
More informationMath-Net.Ru All Russian mathematical portal
Math-Net.Ru All Russian mathematical portal U. V. Linnik, On the representation of large numbers as sums of seven cubes, Rec. Math. [Mat. Sbornik] N.S., 1943, Volume 12(54), Number 2, 218 224 Use of the
More informationCzechoslovak Mathematical Journal
Czechoslovak Mathematical Journal Garyfalos Papaschinopoulos; John Schinas Criteria for an exponential dichotomy of difference equations Czechoslovak Mathematical Journal, Vol. 35 (1985), No. 2, 295 299
More informationCzechoslovak Mathematical Journal
Czechoslovak Mathematical Journal Stanislav Jílovec On the consistency of estimates Czechoslovak Mathematical Journal, Vol. 20 (1970), No. 1, 84--92 Persistent URL: http://dml.cz/dmlcz/100946 Terms of
More informationNUMERICAL SIMULATION OF MHD-PROBLEMS ON THE BASIS OF VARIATIONAL APPROACH
NUMERICAL SIMULATION OF MHD-PROBLEMS ON THE BASIS OF VARIATIONAL APPROACH V.M. G o lo v izn in, A.A. Sam arskii, A.P. Favor s k i i, T.K. K orshia In s t it u t e o f A p p lie d M athem atics,academy
More information3 /,,,:;. c E THE LEVEL DENSITY OF NUCLEI IN THE REGION 230 ~ A < 254. A.L.Komov, L.A.Malov, V.G.Soloviev, V.V.Voronov.
~ - t-1 'I I 3 /,,,:;. c E4-9236 A.L.Komov, L.A.Malov, V.G.Soloviev, V.V.Voronov THE LEVEL DENSITY OF NUCLEI IN THE REGION 230 ~ A < 254 1975 E4-9236 AX.Komov, L.A.Malov, V.G.SoIoviev, V.V.Voronov THE
More informationOn the Distribution o f Vertex-Degrees in a Strata o f a Random Recursive Tree. Marian D O N D A J E W S K I and Jerzy S Z Y M A N S K I
BULLETIN DE L ACADÉMIE POLONAISE DES SCIENCES Série des sciences mathématiques Vol. XXX, No. 5-6, 982 COMBINATORICS On the Distribution o f Vertex-Degrees in a Strata o f a Rom Recursive Tree by Marian
More informationCounterexamples in Analysis
Counterexamples in Analysis Bernard R. Gelbaum University of California, Irvine John M. H. Olmsted Southern Illinois University Dover Publications, Inc. Mineola, New York Table of Contents Part I. Functions
More informationCzechoslovak Mathematical Journal
Czechoslovak Mathematical Journal Vítězslav Novák On a power of relational structures Czechoslovak Mathematical Journal, Vol. 35 (1985), No. 1, 167 172 Persistent URL: http://dml.cz/dmlcz/102006 Terms
More informationITERATION OF ANALYTIC NORMAL FUNCTIONS OF MATRICES
Ohin. Ann. of Math. 6B (1) 1985 ITERATION OF ANALYTIC NORMAL FUNCTIONS OF MATRICES Tao Zhigttang Abstract In this paper,, the author proves that the classical theorem of Wolff in the theory of complex
More informationCOMPLETE HYPERSURFACES WITH CONSTANT SCALAR CURVATURE AND CONSTANT MEAN CURVATURE IN Я4. Introduction
Chm. A m. of Math. 6B (2) 1985 COMPLETE HYPERSURFACES WITH CONSTANT SCALAR CURVATURE AND CONSTANT MEAN CURVATURE IN Я4 H u a n g Х и А Ж го о С ^ ^ Щ )* Abstract Let M be a 3-dimersionaI complete and connected
More informationRemarks on the Rademacher-Menshov Theorem
Remarks on the Rademacher-Menshov Theorem Christopher Meaney Abstract We describe Salem s proof of the Rademacher-Menshov Theorem, which shows that one constant works for all orthogonal expansions in all
More informationPOSITIVE FIXED POINTS AND EIGENVECTORS OF NONCOMPACT DECRESING OPERATORS WITH APPLICATIONS TO NONLINEAR INTEGRAL EQUATIONS** 1.
Chin. Ann. of Math. 14B: 4(1993), 419-426. POSITIVE FIXED POINTS AND EIGENVECTORS OF NONCOMPACT DECRESING OPERATORS WITH APPLICATIONS TO NONLINEAR INTEGRAL EQUATIONS** Guo D a j u n * * A b stra c t The
More informationExercise Solutions to Functional Analysis
Exercise Solutions to Functional Analysis Note: References refer to M. Schechter, Principles of Functional Analysis Exersize that. Let φ,..., φ n be an orthonormal set in a Hilbert space H. Show n f n
More informationDepartment of Chemical Engineering, Slovak Technical Bratislava. Received 8 October 1974
Calculation of the activity coefficients and vapour composition from equations of the Tao method modified for inconstant integration step Ax. П. Ternary systems J. DOJČANSKÝ and J. SUROVÝ Department of
More informationDYNAMIC THEORY X-RAY RADIATION BY RELATIVISTIC ELECTRON IN COMPOSITE TARGET. S.V. Blazhevich, S.N. Nemtsev, A.V. Noskov, R.A.
96 НАУЧНЫЕ ВЕДОМОСТИ ': Серия Математика. Физика. 2015 23 (220). Выпуск 41 УДК 537-8 DYNAMIC THEORY X-RAY RADIATION BY RELATIVISTIC ELECTRON IN COMPOSITE TARGET S.V. Blazhevich, S.N. Nemtsev, A.V. Noskov,
More informationSUMS AND PRODUCTS OF HILBERT SPACES JESÚS M. F. CASTILLO. (Communicated by William J. Davis)
proceedings of the american mathematical society Volume 107. Number I. September 1989 SUMS AND PRODUCTS OF HILBERT SPACES JESÚS M. F. CASTILLO (Communicated by William J. Davis) Abstract. Let H be a Hilbert
More informationtfb 1 U ъ /ъ /5 FOREIGN OFFICE llftil HNP XI?/ Чо /о/ F il e ... SI» ИJ ... -:v. ' ' :... N a m e of File : Re turned Re turned Re turned.
J, FOREIGN OFFICE w l Ê! Ê È, Ê f y / " / f ^ ' ß (P rt (C L A IM S ) f llftil! ^ ' F il e "V U L V -» HNP т с т а э т! У ^ у д а и г - д л? г; j g r ; ' / ' '...1.?.:, ;, v',. V -.. M '. - ni/jjip.'*
More informationPLISKA STUDIA MATHEMATICA BULGARICA
Provided for non-commercial research and educational use. Not for reproduction, distribution or commercial use. PLISKA STUDIA MATHEMATICA BULGARICA ПЛИСКА БЪЛГАРСКИ МАТЕМАТИЧЕСКИ СТУДИИ The attached copy
More informationThe Knaster problem and the geometry of high-dimensional cubes
The Knaster problem and the geometry of high-dimensional cubes B. S. Kashin (Moscow) S. J. Szarek (Paris & Cleveland) Abstract We study questions of the following type: Given positive semi-definite matrix
More informationThe Fluxes and the Equations of Change
Appendix 15 The Fluxes nd the Equtions of Chnge B.l B. B.3 B.4 B.5 B.6 B.7 B.8 B.9 Newton's lw of viscosity Fourier's lw of het conduction Fick's (first) lw of binry diffusion The eqution of continuity
More informationSlowing-down of Charged Particles in a Plasma
P/2532 France Slowing-down of Charged Particles in a Plasma By G. Boulègue, P. Chanson, R. Combe, M. Félix and P. Strasman We shall investigate the case in which the slowingdown of an incident particle
More informationSINGULAR PERTURBATIONS FOR QUASIUNEAR HYPERBOUC EQUATIONS. a " m a *-+».(«, <, <,«.)
Chm. Am. of Math. 4B (3) 1983 SINGULAR PERTURBATIONS FOR QUASIUNEAR HYPERBOUC EQUATIONS G a o R ttxi ( «* * > ( Fudan University) Abstract This paper deals with the following mixed problem for Quasilinear
More informationD ETERM IN ATIO N OF SO URCE A N D V A R IA B LE CO EFFICIEN T IN TH E INVERSE PROBLEM FO R TH E W A V E S EQUATION. G.I.
НАУЧНЫЕ ВЕДОМОСТИ i^p. I Серия Математика. Физика. 2017 6 (255). Выпуск 46 У Д К 517.958:531-72, 51 7-958:539-3(4) D ETERM IN ATIO N OF SO URCE A N D V A R IA B LE CO EFFICIEN T IN TH E INVERSE PROBLEM
More informationC-CC514 NT, C-CC514 PL C-CC564 NT, C-CC564 PL C-CC574 NT, C-CC574 PL C-CC714 NT, C-CC714 PL C-CC764 NT, C-CC764 PL C-CC774 NT, C-CC774 PL
SETUP MANUAL COMBINATION CAMERA OUTDOOR COMBINATION CAMERA C-CC514 NT, C-CC514 PL C-CC564 NT, C-CC564 PL C-CC574 NT, C-CC574 PL C-CC714 NT, C-CC714 PL C-CC764 NT, C-CC764 PL C-CC774 NT, C-CC774 PL Thank
More informationEQUADIFF 1. Rudolf Výborný On a certain extension of the maximum principle. Terms of use:
EQUADIFF 1 Rudolf Výborný On a certain extension of the maximum principle In: (ed.): Differential Equations and Their Applications, Proceedings of the Conference held in Prague in September 1962. Publishing
More informationFuture Self-Guides. E,.?, :0-..-.,0 Q., 5...q ',D5', 4,] 1-}., d-'.4.., _. ZoltAn Dbrnyei Introduction. u u rt 5,4) ,-,4, a. a aci,, u 4.
te SelfGi ZltAn Dbnyei Intdtin ; ) Q) 4 t? ) t _ 4 73 y S _ E _ p p 4 t t 4) 1_ ::_ J 1 `i () L VI O I4 " " 1 D 4 L e Q) 1 k) QJ 7 j ZS _Le t 1 ej!2 i1 L 77 7 G (4) 4 6 t (1 ;7 bb F) t f; n (i M Q) 7S
More informationLinear Algebra and its Applications
Linear Algebra and its Applications 433 (200) 867 875 Contents lists available at ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa On the exponential exponents
More informationCzechoslovak Mathematical Journal
Czechoslovak Mathematical Journal Jan Kučera Solution in large of control problem ẋ = (Au + Bv)x Czechoslovak Mathematical Journal, Vol. 17 (1967), No. 1, 91 96 Persistent URL: http://dml.cz/dmlcz/100763
More information~,. :'lr. H ~ j. l' ", ...,~l. 0 '" ~ bl '!; 1'1. :<! f'~.., I,," r: t,... r':l G. t r,. 1'1 [<, ."" f'" 1n. t.1 ~- n I'>' 1:1 , I. <1 ~'..
,, 'l t (.) :;,/.I I n ri' ' r l ' rt ( n :' (I : d! n t, :?rj I),.. fl.),. f!..,,., til, ID f-i... j I. 't' r' t II!:t () (l r El,, (fl lj J4 ([) f., () :. -,,.,.I :i l:'!, :I J.A.. t,.. p, - ' I I I
More informationOn Subsets with Cardinalities of Intersections Divisible by a Fixed Integer
Europ. J. Combinatorics (1983) 4,215-220 On Subsets with Cardinalities of Intersections Divisible by a Fixed Integer P. FRANKL AND A. M. ODLYZKO If m(n, I) denotes the maximum number of subsets of an n-element
More informationACI-matrices all of whose completions have the same rank
ACI-matrices all of whose completions have the same rank Zejun Huang, Xingzhi Zhan Department of Mathematics East China Normal University Shanghai 200241, China Abstract We characterize the ACI-matrices
More informationA NOTE ON THE DEGREE OF POLYNOMIAL APPROXIMATION*
1936.] DEGREE OF POLYNOMIAL APPROXIMATION 873 am = #121 = #212= 1 The trilinear form associated with this matrix is x 1 yiz2+xiy2zi+x2yizi, which is equivalent to L under the transformations Xi = xi, X2
More informationWeak Uniform Distribution for Divisor Functions. I
mathematics of computation volume 50, number 181 january 1988, pages 335-342 Weak Uniform Distribution for Divisor Functions. I By Francis J. Rayner Abstract. Narkiewicz (reference [3, pp. 204-205]) has
More informationINDUSTRIAL MATHEMATICS INSTITUTE. B.S. Kashin and V.N. Temlyakov. IMI Preprint Series. Department of Mathematics University of South Carolina
INDUSTRIAL MATHEMATICS INSTITUTE 2007:08 A remark on compressed sensing B.S. Kashin and V.N. Temlyakov IMI Preprint Series Department of Mathematics University of South Carolina A remark on compressed
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationMath-Net.Ru All Russian mathematical portal
Math-Net.Ru All Russian mathematical portal N. R. Mohan, S. Ravi, Max Domains of Attraction of Univariate Multivariate p-max Stable Laws, Teor. Veroyatnost. i Primenen., 1992, Volume 37, Issue 4, 709 721
More informationConstructing models of flow chemicals technology systems by realization theory
Constructing models of flow chemicals technology systems by realization theory "P. BRUNO VSKÝ, b J. ILAVSKÝ, and b M. KRÁLIK "Institute of Applied Mathematics and Computing, Komenský University, 816 31
More informationON THE HK COMPLETIONS OF SEQUENCE SPACES. Abduallah Hakawati l, K. Snyder2 ABSTRACT
An-Najah J. Res. Vol. II. No. 8, (1994) A. Allah Hakawati & K. Snyder ON THE HK COMPLETIONS OF SEQUENCE SPACES Abduallah Hakawati l, K. Snyder2 2.;.11 1 Le Ile 4) a.ti:;11 1 Lai 131 1 ji HK j; ) 1 la.111
More informationRANK AND PERIMETER PRESERVER OF RANK-1 MATRICES OVER MAX ALGEBRA
Discussiones Mathematicae General Algebra and Applications 23 (2003 ) 125 137 RANK AND PERIMETER PRESERVER OF RANK-1 MATRICES OVER MAX ALGEBRA Seok-Zun Song and Kyung-Tae Kang Department of Mathematics,
More informationESTIMATION OF POLYNOMIAL ROOTS BY CONTINUED FRACTIONS
KYBERNETIKA- VOLUME 21 (1985), NUMBER 6 ESTIMATION OF POLYNOMIAL ROOTS BY CONTINUED FRACTIONS PETR KLAN The article describes a method of polynomial root solving with Viskovatoff's decomposition (analytic
More informationUniform convergence of N-dimensional Walsh Fourier series
STUDIA MATHEMATICA 68 2005 Uniform convergence of N-dimensional Walsh Fourier series by U. Goginava Tbilisi Abstract. We establish conditions on the partial moduli of continuity which guarantee uniform
More informationOn lower and upper bounds for probabilities of unions and the Borel Cantelli lemma
arxiv:4083755v [mathpr] 6 Aug 204 On lower and upper bounds for probabilities of unions and the Borel Cantelli lemma Andrei N Frolov Dept of Mathematics and Mechanics St Petersburg State University St
More informationSupplementary Notes on Linear Algebra
Supplementary Notes on Linear Algebra Mariusz Wodzicki May 3, 2015 1 Vector spaces 1.1 Coordinatization of a vector space 1.1.1 Given a basis B = {b 1,..., b n } in a vector space V, any vector v V can
More informationČasopis pro pěstování matematiky
Časopis pro pěstování matematiky Kristína Smítalová Existence of solutions of functional-differential equations Časopis pro pěstování matematiky, Vol. 100 (1975), No. 3, 261--264 Persistent URL: http://dml.cz/dmlcz/117875
More informationDeterminants of Partition Matrices
journal of number theory 56, 283297 (1996) article no. 0018 Determinants of Partition Matrices Georg Martin Reinhart Wellesley College Communicated by A. Hildebrand Received February 14, 1994; revised
More informationCzechoslovak Mathematical Journal
Czechoslovak Mathematical Journal Milan Tvrdý Correction and addition to my paper The normal form and the stability of solutions of a system of differential equations in the complex domain Czechoslovak
More informationMATH 426, TOPOLOGY. p 1.
MATH 426, TOPOLOGY THE p-norms In this document we assume an extended real line, where is an element greater than all real numbers; the interval notation [1, ] will be used to mean [1, ) { }. 1. THE p
More informationarxiv:solv-int/ v1 18 Apr 1993
PROBLEM OF METRIZABILITY FOR THE DYNAMICAL SYSTEMS ACCEPTING THE NORMAL SHIFT. Sharipov R.A. arxiv:solv-int/9404003v1 18 Apr 1993 June, 1993. Abstract. The problem of metrizability for the dynamical systems
More informationDIAMETERS OF SOME FINITE-DIMENSIONAL CLASSES OF SMOOTH FUNCTIONS
Izv. Akad. Nauk SSSR Math. USSR Izvestija Ser. Mat. Tom 41 (1977), No. 2 Vol. 11 (1977), No. 2 DIAMETERS OF SOME FINITE-DIMENSIONAL CLASSES OF SMOOTH FUNCTIONS UDC 517.5 B. S. KASIN SETS AND Abstract.
More informationSPACES OF MATRICES WITH SEVERAL ZERO EIGENVALUES
SPACES OF MATRICES WITH SEVERAL ZERO EIGENVALUES M. D. ATKINSON Let V be an w-dimensional vector space over some field F, \F\ ^ n, and let SC be a space of linear mappings from V into itself {SC ^ Horn
More informationAnalysis-3 lecture schemes
Analysis-3 lecture schemes (with Homeworks) 1 Csörgő István November, 2015 1 A jegyzet az ELTE Informatikai Kar 2015. évi Jegyzetpályázatának támogatásával készült Contents 1. Lesson 1 4 1.1. The Space
More informationON UNICITY OF COMPLEX POLYNOMIAL L, -APPROXIMATION ALONG CURVES
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 86, Number 3, November 1982 ON UNICITY OF COMPLEX POLYNOMIAL L, -APPROXIMATION ALONG CURVES A. KROÓ Abstract. We study the unicity of best polynomial
More informationBrownian Motion and Conditional Probability
Math 561: Theory of Probability (Spring 2018) Week 10 Brownian Motion and Conditional Probability 10.1 Standard Brownian Motion (SBM) Brownian motion is a stochastic process with both practical and theoretical
More informationCHAPTER III THE PROOF OF INEQUALITIES
CHAPTER III THE PROOF OF INEQUALITIES In this Chapter, the main purpose is to prove four theorems about Hardy-Littlewood- Pólya Inequality and then gives some examples of their application. We will begin
More informationMath 341: Convex Geometry. Xi Chen
Math 341: Convex Geometry Xi Chen 479 Central Academic Building, University of Alberta, Edmonton, Alberta T6G 2G1, CANADA E-mail address: xichen@math.ualberta.ca CHAPTER 1 Basics 1. Euclidean Geometry
More informationarxiv: v1 [math.fa] 1 Nov 2017
NON-EXPANSIVE BIJECTIONS TO THE UNIT BALL OF l 1 -SUM OF STRICTLY CONVEX BANACH SPACES V. KADETS AND O. ZAVARZINA arxiv:1711.00262v1 [math.fa] 1 Nov 2017 Abstract. Extending recent results by Cascales,
More informationInvariant measures and the compactness of the domain
ANNALES POLONICI MATHEMATICI LXIX.(998) Invariant measures and the compactness of the domain by Marian Jab loński (Kraków) and Pawe l Góra (Montreal) Abstract. We consider piecewise monotonic and expanding
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 informationGOLDEN SEQUENCES OF MATRICES WITH APPLICATIONS TO FIBONACCI ALGEBRA
GOLDEN SEQUENCES OF MATRICES WITH APPLICATIONS TO FIBONACCI ALGEBRA JOSEPH ERCOLANO Baruch College, CUNY, New York, New York 10010 1. INTRODUCTION As is well known, the problem of finding a sequence of
More informationCourse Summary Math 211
Course Summary Math 211 table of contents I. Functions of several variables. II. R n. III. Derivatives. IV. Taylor s Theorem. V. Differential Geometry. VI. Applications. 1. Best affine approximations.
More informationThe Geometric Approach for Computing the Joint Spectral Radius
Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005 TuB08.2 The Geometric Approach for Computing the Joint Spectral
More informationAPPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2.
APPENDIX A Background Mathematics A. Linear Algebra A.. Vector algebra Let x denote the n-dimensional column vector with components 0 x x 2 B C @. A x n Definition 6 (scalar product). The scalar product
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 informationOperator-valued extensions of matrix-norm inequalities
Operator-valued extensions of matrix-norm inequalities G.J.O. Jameson 1. INTRODUCTION. Let A = (a j,k ) be a matrix (finite or infinite) of complex numbers. Let A denote the usual operator norm of A as
More informationК О Р О Т К I П О В I Д О М Л Е Н Н Я
К О Р О Т К I П О В I Д О М Л Е Н Н Я UDC 517.9 E. Ö. Canfes, A. Özdeğer Istanbul Techn. Univ., Kadir Has Univ., Istanbul, Turkey A CHARACTERIZATION OF TOTALLY UMBILICAL HYPERSURFACES OF A SPACE FORM BY
More informationAnalysis III. Exam 1
Analysis III Math 414 Spring 27 Professor Ben Richert Exam 1 Solutions Problem 1 Let X be the set of all continuous real valued functions on [, 1], and let ρ : X X R be the function ρ(f, g) = sup f g (1)
More informationInjective semigroup-algebras
Injective semigroup-algebras J. J. Green June 5, 2002 Abstract Semigroups S for which the Banach algebra l (S) is injective are investigated and an application to the work of O. Yu. Aristov is described.
More informationStanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures
2 1 Borel Regular Measures We now state and prove an important regularity property of Borel regular outer measures: Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon
More information; ISBN
Ы IV - (9 2017.) 2017 629.488; 629.4.015 39.2 : IV - /. -., 2017. 368.,,,,,.,,.,.. 213.. 31.. 154. :.,.. (. );.,.. ;.,.. ;.,.. ;.,.. (.. ). :.,.. ;.,... ISBN 978-5-949-41182-7., 2017 2 ..,..,..... 7..,..,.........
More informationMATH 320: PRACTICE PROBLEMS FOR THE FINAL AND SOLUTIONS
MATH 320: PRACTICE PROBLEMS FOR THE FINAL AND SOLUTIONS There will be eight problems on the final. The following are sample problems. Problem 1. Let F be the vector space of all real valued functions on
More informationAN EXTREMUM PROPERTY OF SUMS OF EIGENVALUES' HELMUT WIELANDT
AN EXTREMUM PROPERTY OF SUMS OF EIGENVALUES' HELMUT WIELANDT We present in this note a maximum-minimum characterization of sums like at+^+aa where a^ ^a are the eigenvalues of a hermitian nxn matrix. The
More informationi;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s
5 C /? >9 T > ; '. ; J ' ' J. \ ;\' \.> ). L; c\ u ( (J ) \ 1 ) : C ) (... >\ > 9 e!) T C). '1!\ /_ \ '\ ' > 9 C > 9.' \( T Z > 9 > 5 P + 9 9 ) :> : + (. \ z : ) z cf C : u 9 ( :!z! Z c (! $ f 1 :.1 f.
More informationAlgebra II. Paulius Drungilas and Jonas Jankauskas
Algebra II Paulius Drungilas and Jonas Jankauskas Contents 1. Quadratic forms 3 What is quadratic form? 3 Change of variables. 3 Equivalence of quadratic forms. 4 Canonical form. 4 Normal form. 7 Positive
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 informationCzechoslovak Mathematical Journal
Czechoslovak Mathematical Journal Štefan Schwarz Prime ideals and maximal ideals in semigroups Czechoslovak Mathematical Journal, Vol. 19 (1969), No. 1, 72 79 Persistent URL: http://dml.cz/dmlcz/100877
More informationMATH 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 informationMath 321: Linear Algebra
Math 32: Linear Algebra T. Kapitula Department of Mathematics and Statistics University of New Mexico September 8, 24 Textbook: Linear Algebra,by J. Hefferon E-mail: kapitula@math.unm.edu Prof. Kapitula,
More informationMulti-normed spaces and multi-banach algebras. H. G. Dales. Leeds Semester
Multi-normed spaces and multi-banach algebras H. G. Dales Leeds Semester Leeds, 2 June 2010 1 Motivating problem Let G be a locally compact group, with group algebra L 1 (G). Theorem - B. E. Johnson, 1972
More informationON THE CORRECT FORMULATION OF A MULTIDIMENSIONAL PROBLEM FOR STRICTLY HYPERBOLIC EQUATIONS OF HIGHER ORDER
Georgian Mathematical Journal 1(1994), No., 141-150 ON THE CORRECT FORMULATION OF A MULTIDIMENSIONAL PROBLEM FOR STRICTLY HYPERBOLIC EQUATIONS OF HIGHER ORDER S. KHARIBEGASHVILI Abstract. A theorem of
More information0.1 Tangent Spaces and Lagrange Multipliers
01 TANGENT SPACES AND LAGRANGE MULTIPLIERS 1 01 Tangent Spaces and Lagrange Multipliers If a differentiable function G = (G 1,, G k ) : E n+k E k then the surface S defined by S = { x G( x) = v} is called
More informationTibetan Unicode EWTS Help
Tibetan Unicode EWTS Help Keyboard 2003 Linguasoft Overview Tibetan Unicode EWTS is based on the Extended Wylie Transliteration Scheme (EWTS), an approach that avoids most Shift, Alt, and Alt + Shift combinations.
More informationINVESTIGATING THE NUMERICAL RANGE AND Q-NUMERICAL RANGE OF NON SQUARE MATRICES. Aikaterini Aretaki, John Maroulas
Opuscula Mathematica Vol. 31 No. 3 2011 http://dx.doi.org/10.7494/opmath.2011.31.3.303 INVESTIGATING THE NUMERICAL RANGE AND Q-NUMERICAL RANGE OF NON SQUARE MATRICES Aikaterini Aretaki, John Maroulas Abstract.
More informationLinear Vector Spaces
CHAPTER 1 Linear Vector Spaces Definition 1.0.1. A linear vector space over a field F is a triple (V, +, ), where V is a set, + : V V V and : F V V are maps with the properties : (i) ( x, y V ), x + y
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 informationHADAMARD DETERMINANTS, MÖBIUS FUNCTIONS, AND THE CHROMATIC NUMBER OF A GRAPH
HADAMARD DETERMINANTS, MÖBIUS FUNCTIONS, AND THE CHROMATIC NUMBER OF A GRAPH BY HERBERT S. WILF 1 Communicated by Gian-Carlo Rota, April 5, 1968 The three subjects of the title are bound together by an
More informationZ n -GRADED POLYNOMIAL IDENTITIES OF THE FULL MATRIX ALGEBRA OF ORDER n
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 127, Number 12, Pages 3517 3524 S 0002-9939(99)04986-2 Article electronically published on May 13, 1999 Z n -GRADED POLYNOMIAL IDENTITIES OF THE
More informationON THE PRODUCT OF SEPARABLE METRIC SPACES
Georgian Mathematical Journal Volume 8 (2001), Number 4, 785 790 ON THE PRODUCT OF SEPARABLE METRIC SPACES D. KIGHURADZE Abstract. Some properties of the dimension function dim on the class of separable
More informationWhere is matrix multiplication locally open?
Linear Algebra and its Applications 517 (2017) 167 176 Contents lists available at ScienceDirect Linear Algebra and its Applications www.elsevier.com/locate/laa Where is matrix multiplication locally open?
More informationA proof of the Jordan normal form theorem
A proof of the Jordan normal form theorem Jordan normal form theorem states that any matrix is similar to a blockdiagonal matrix with Jordan blocks on the diagonal. To prove it, we first reformulate it
More informationInternational Journal of Pure and Applied Mathematics Volume 25 No , BEST APPROXIMATION IN A HILBERT SPACE. E. Aghdassi 1, S.F.
International Journal of Pure and Applied Mathematics Volume 5 No. 005, -8 BEST APPROXIMATION IN A HILBERT SPACE E. Aghdassi, S.F. Rzaev, Faculty of Mathematical Sciences University of Tabriz Tabriz, IRAN
More informationA Questionable Distance-Regular Graph
A Questionable Distance-Regular Graph Rebecca Ross Abstract In this paper, we introduce distance-regular graphs and develop the intersection algebra for these graphs which is based upon its intersection
More informationELEMENTARY LINEAR ALGEBRA
ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND First Printing, 99 Chapter LINEAR EQUATIONS Introduction to linear equations A linear equation in n unknowns x,
More information1981] 209 Let A have property P 2 then [7(n) is the number of primes not exceeding r.] (1) Tr(n) + c l n 2/3 (log n) -2 < max k < ir(n) + c 2 n 2/3 (l
208 ~ A ~ 9 ' Note that, by (4.4) and (4.5), (7.6) holds for all nonnegatíve p. Substituting from (7.6) in (6.1) and (6.2) and evaluating coefficients of xm, we obtain the following two identities. (p
More information