OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2
|
|
- Evan Walton
- 5 years ago
- Views:
Transcription
1 OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2 YUKI SEO Abstract. For 1 t 1, Lm-Pálfa defned a new famly of operator power means of postve defnte matrces and subsequently by Lawson-Lm ther noton and most of ther results extend to the settng of postve nvertble operators on a Hlbert space. Each of these means except t 0 arses as a unque postve nvertble soluton of a non-lnear operator equaton and satsfes all desrable propertes of power arthmetc means of postve real numbers. The purpose of ths paper s to extend the range n whch operator power means due to Lawson-Lm-Pálfa are defned. We nvestgate some propertes of operator power means for t ( 2, 2)\[ 1, 1]. 1. Introducton Let B(H) be the C -algebra of all bounded lnear operators on a Hlbert space H equpped wth the operator norm, S(H) the set of all bounded self-adjont operators, and P = P(H) the open convex cone of all postve nvertble operators. For X, Y S(H), we wrte X Y f Y X s postve, and X < Y f Y X s postve nvertble. For postve real numbers x 1,..., x n R and a weght vector ω = (ω 1,..., ω n ) such as ω 0 for = 1,..., n and n ω = 1, the power arthmetc means M t (ω; x 1,..., x n ) = ( ω 1 x t ω n x t n) 1/t for t R make a path of means from the harmonc one at t = 1 to the arthmetc one at t = 1 va the geometrc one at t 0. The followng s a noncommutatve verson of the power arthmetc mean: For postve nvertble operators A 1,..., A n P and a weght vector ω ( 1/t M t (ω; A 1,..., A n ) = ω A) t for t R. Bhagwat and Subramanan [2] showed that the power arthmetc mean has the followng monotoncty: 1 t s = M t (ω; A 1,..., A n ) M s (ω; A 1,..., A n ) and the lmt M 0 (ω; A 1,..., A n ) = u- lm t 0+ M t (ω; A 1,..., A n ) exsts and s equal to the chaotc geometrc mean exp( n ω log A ), also see [7, 15], whch reduced to the usual geometrc mean n the case of commutng operators. However, M t (ω; A 1,..., A n ) does not have the monotoncty for 1 < t < 1 n general and they are not operator means except for the case of t = ±1. Recently, for 1 t 1, Lm-Pálfa [13] defned a new famly of operator power means of postve defnte matrces and subsequently by Lawson-Lm [12] ther noton and most of ther results extend to the settng of postve nvertble operators on a Hlbert space Mathematcs Subject Classfcaton. 47A63, 47A64. Key words and phrases. Power mean, operator geometrc mean, postve operator, Thompson metrc. 1
2 2 Y. SEO We denote by {P t (ω; A)}, where ω s a weght vector and A s an n-tuple of postve nvertble operators on a Hlbert space. Each of these means except t 0 arses as a unque postve nvertble soluton P t (ω; A) of a non-lnear operator equaton X = ω (X t A ) (t [ 1, 1]\{0}) and satsfes desrable propertes of power arthmetc means of postve real numbers and nterpolates between the weghted harmonc and arthmetc means. Moreover, Lawson- Lm showed that the Karcher mean of postve nvertble operators concdes wth the lmt of operator power means as t 0. For more detals on the Karcher mean; see [4, 5, 17]. In fact, f A mutually commute for = 1,..., n, then t follows that P t (ω; A) = ( n ω A t ) 1/t. Moreover, they showed that the power means P t (ω; A) have a monotone ncreasng property for 1 < t < 1: and an nformaton monotoncty: 1 < t s < 1 = P t (ω; A) P s (ω; A) Φ(P t (ω; A)) P t (ω; Φ(A)) (t (0, 1]) for any untal postve lmear map Φ. However, the range n whch the operator power means are defned, s lmted to [ 1, 1]. The purpose of ths paper s to extend the range of the defnton of power means P t (ω; A). Moreover, we nvestgate some propertes of P t (ω; A) for t ( 2, 2)\[ 1, 1]. 2. Prelmnares For A, B P and t [0, 1], the t-geometrc operator mean s defned as A t B = A 1/2 ( A 1/2 BA 1/2) t A 1/2. For convenence, we use the notaton t for the bnary operaton whose formula s the same as t. s [0, 1] s not. A t B = A 1/2 ( A 1/2 BA 1/2) t A 1/2 for t [0, 1], Though A t B for t [0, 1] s monotonc, A s B for Lemma 2.1. Let A, B, X, Y P and 1 < t 2. Then () If X Y, then Y t A X t A. () If A B wth m 1 A M 1, m 2 B M 2 and m X M for some scalars 0 < m M ( = 1, 2) and 0 < m M, then X t A K(m /M, M /m, t)x t B for = 1, 2, where the generalzed Kantorovch constant K(m, M, t) s defned by (1) K(m, M, t) = mm ( t Mm t t 1 M t m t (t 1)(M m) t mm t Mm t for any real number t R, see [11, Theorem 2.53]. () If m A M for some scalars 0 < m M, then X 1 t m t X t A X 1 (1 t) M t. ) t
3 OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2 3 Proof. (): For 1 < t 2 Y t A = A 1 t Y = A 1/2 ( A 1/2 Y A 1/2) 1 t A 1/2 = A 1/2 ( A 1/2 Y 1 A 1/2) t 1 A 1/2 A 1/2 ( A 1/2 X 1 A 1/2) t 1 A 1/2 = X t A. by 0 < t 1 < 1 and Y 1 X 1 (): Snce A B, we have X 1/2 AX 1/2 X 1/2 BX 1/2 and m 1 /M X 1/2 AX 1/2 M 1 /m and m 2 /M X 1/2 BX 1/2 M 2 /m. By the generalzed Kantorovch nequalty [11, Theorem 8.3], t follows from 1 < t 2 that (X 1/2 AX 1/2 ) t K( m M, M m, t)(x 1/2 BX 1/2 ) t for = 1, 2, and we have the desred nequalty. (): It follows from X 1 1 X X and (). Remark 2.2. Let X 0 and 0 < A B. Then the nequalty AXA BXB doe not hold n general. If we put t = 2 n (2) of Lemma 2.1, then we have { (nm1 + NM 1 ) 2 AXA mn, (nm } 2 + NM 2 ) 2 BXB 4nNm 1 M 1 4nNm 2 M 2 where n X N and m 1 A M 1, m 2 B M 2 for some scalars 0 < n N and 0 < m M ( = 1, 2). If B = I, then we have AXA (n+n)2 X n [10, Lemma 4]. 4nN The Thompson metrc on P s defned by 3. Thompson metrc d(a, B) = log max{m(a/b), M(B/A)} where M(A/B) = nf{λ > 0 : A λb} = B 1/2 AB 1/2 = r(b 1 A). It s known that d s a complete metrc on P and d(a, B) = log B 1/2 AB 1/2 = log A 1/2 BA 1/2, see [16]. We lst some basc propertes of the Thompson metrc: Lemma 3.1 (see [3, 6]). For A, B, C, D P () d(a, B) = d(a 1, B 1 ) = d(t AT, T BT ) for nvertble T B(H); () d(a + B, C + D) max{d(a, C), d(b, D)}; () d(a t, B t ) td(a, B) for t [0, 1]; (v) d(αa, αb) = d(a, B) for postve real number α > 0; (v) d(a t B, C t D) (1 t)d(a, C) + td(b, D) for t [0, 1]. For A, B P, a map γ A,B : R P defned by γ A,B (t) = A t B for t R s a path jonng A and B. Then we have the followng: Theorem 3.2. Let A, B P. Then d(a s B, A t B) = s t d(a, B) for all s, t R.
4 4 Y. SEO Proof. By defnton of the Thompson metrc and Lemma 3.1 d(a s B, A t B) = d((a 1/2 BA 1/2 ) s, (A 1/2 BA 1/2 ) t ) = d((a 1/2 BA 1/2 ) s t, I) = log(a 1/2 BA 1/2 ) s t = s t log A 1/2 BA 1/2 = s t d(a, B). We have the followng estmate n the case of 1 < t < 2, whch corresponds to (v) of Lemma 3.1: Theorem 3.3. Let A, B, C, D P such that m 1 A C M 1 A and m 2 B D M 2 B for some scalars 0 < m 1 M 1 and 0 < m 2 M 2. For each 1 < t < 2 d(a t B, C t D) (t 1)d(A, C) + td(b, D) + log K(t) where K(t) = max{k(m 1, M 1, t), K(m 2, M 2, t)} and the generalzed Kantorovch constant K(m, M, t) s defned by (1). Proof. Snce A 1/2 C 1 A 1/2 1 A 1/2 CA 1/2, t follows from Lemma 2.1 that C t D = A 1/2 [ (A 1/2 CA 1/2 ) t (A 1/2 DA 1/2 ) ] A 1/2 A 1/2 [ A 1/2 C 1 A 1/2 1 t (A 1/2 DA 1/2 ) ] A 1/2 by () of Lemma 2.1 = A 1/2 C 1 A 1/2 (1 t) A t D = A 1/2 C 1 A 1/2 (1 t) B 1/2 [ (B 1/2 AB 1/2 ) t (B 1/2 DB 1/2 ) ] B 1/2 A 1/2 C 1 A 1/2 (1 t) B 1/2 DB 1/2 t K(m 2, M 2, t)b 1 t A by () of Lemma 2.1 = A 1/2 C 1 A 1/2 (1 t) B 1/2 DB 1/2 t K(m 2, M 2, t)a t B. Smlarly, t follows that Therefore, we have A t B C 1/2 A 1 C 1/2 t 1 D 1/2 BD 1/2 t K(m 1, M 1, t) C t D. (A t B) 1/2 (C t D)(A t B) 1/2 A 1/2 C 1 A 1/2 (1 t) B 1/2 DB 1/2 t K(m 2, M 2, t) and (C t D) 1/2 (A t B)(C t D) 1/2 C 1/2 A 1 C 1/2 t 1 D 1/2 BD 1/2 t K(m 1, M 1, t) and ths mples the desred nequalty. 4. Operator power means In ths secton, we extend the range n whch the power means due to Lawson-Lm-Pálfa are defned. For ths, we need the followng Lemma: Lemma 4.1. Let X, Y, A P and 1 < t 2. Then d(x t A, Y t A) (t 1)d(X, Y ).
5 Proof. For 1 < t 2, OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2 5 d(x t A, Y t A) = d(a 1 t X, A 1 t Y ) = d((a 1/2 X 1 A 1/2 ) t 1, (A 1/2 Y 1 A 1/2 ) t 1 ) by () of Lemma 3.1 (t 1)d(A 1/2 XA 1/2, A 1/2 Y A 1/2 ) by () of Lemma 3.1 = (t 1)d(X, Y ) by () of Lemma 3.1. Theorem 4.2. Let A 1, A 2,..., A n P and a weght vector ω = (ω 1,..., ω n ). Then for each 1 < t < 2, the followng equaton has a unque postve nvertble soluton: X = ω (X t A ). Proof. We wll show that the map f : P P defned by f(x) = n ω (X t A ) s a strct contracton wth respect to the Thompson metrc. Let X, Y > 0. d(f(x), f(y )) max 1 n {d(ω (X t A ), ω (Y t A ))} by () of Lemma 3.1 = max 1 n {d(x t A, Y t A )} by (v) of Lemma 3.1 (t 1)d(X, Y ) by Lemma 4.1. Snce 1 < t < 2, t follows that f s a strct contracton and hence f has a unque fxed pont. Defnton 4.3. Let A = (A 1,..., A n ) P n and a weght vector ω = (ω 1,..., ω n ). For t (1, 2), we denote by P t (ω; A) the unque postve nvertble soluton of X = ω (X t A ). For t ( 2, 1), we defne P t (ω; A) = P t (ω; A 1 ) 1, where A 1 = (A 1 1,..., A 1 n ). In fact, X = P t (ω; A) s the unque postve nvertble soluton of X = ( n ω (X t A ) 1 ) 1 and X 1 = n ω (X 1 t A 1 ) f and only f X 1 = P t (ω; A 1 ). Remark 4.4. Let t (1, 2). Put f : P P defned by f(x) = n ω (X t A ). By Theorem 4.2, f s a strct contracton for the Thompson metrc and by the Banach fxed pont theorem lm k f k (X) = P t (ω; A) for any X P. Smlarly, the map g(x) = ( n ω (X t A ) 1 ) 1 s a strct contracton for the Thompson metrc and lm k g k (X) = P t (ω; A) for any X P. For A = (A 1,..., A n ) P n, M B(H), ω = (ω 1,..., ω n ) and for a permutaton σ on n-letters, we set MAM = (MA 1 M,..., MA n M ), A σ = (A σ(1),..., A σ(n) ) 1 ˆω = (ω 1,..., ω n 1 ). 1 ω n We lst some basc propertes of P t (ω; A) for t ( 2, 2)\[ 1, 1].
6 6 Y. SEO Proposton 4.5. Let A = (A 1,..., A n ) P n, a weght vector ω = (ω 1,..., ω n ) and let t ( 2, 2)\[ 1, 1]. () P t (ω; A) = ( n ω A t ) 1/t f the A s commute; () P t (ω σ ; A σ ) = P t (ω; A) for any permutaton σ; () P t (ω; MAM ) = MP t (ω; A)M for any nvertble M; (v) P t (ω; A 1 ) 1 = P t (ω; A); (v) n ω A P t (ω; A) for t (1, 2); (v) P t (ω; A) ( n ω A 1 ) 1 for t ( 2, 1); (v) If m A M for = 1,..., n and some scalars 0 < m M, then m P t (ω; A) m 1 t M t for t (1, 2) and m t M 1+t P t (ω; A) M for t ( 2, 1); (v) For t (1, 2), P t (ω; A 1,..., A n 1, X) = X f and only f X = P t (ˆω; A 1,..., A n 1 ). Proof. Proofs from () to (v) are smlar to those of [13]. (v): Put X = P t (ω; A) for t (1, 2). Snce αt + (1 α)i T α for all α > 1 and postve nvertble T, we have (1 t)a + tb A t B for 1 < t < 2 puttng T = A 1/2 BA 1/2 and multplyng A 1/2 on both sdes, see [9, pp.123]. Therefore t follows that X = ω (X t A ) ω ((1 t)x + ta ) = (1 t)x + t ω A and hence X n ω A. (v): Put X = P t (ω; A) for t ( 2, 1). Snce X = ( n ω (X 1 t A 1 ) ) 1, t follows that X 1 = ω (X 1 t A 1 ) ω ((1 + t)x 1 + ( t)a 1 ) = (1 + t)x 1 t ω A 1 and hence X ( n ω A 1 ) 1 for t ( 2, 1). (v): Put X = P t (ω; A) for t (1, 2), and X n ω A m. Hence we have X = ω (X t A ) ω (m t A ) = ω (m 1 t A t ) m 1 t M t by () of Lemma 2.1. Smlarly, put X = P t (ω; A) for t ( 2, 1), and X ( n ω ) A 1 1 M. Hence we have X 1 = ω (X 1 t A 1 ) ω (M 1 t A 1 ) = ω (M 1 t A t ) M 1 t m t and m t M 1+t X. (v): For 1 < t < 2, P t (ω; A 1,..., A n 1, X) = X X = n 1 ω (X t A ) + ω n X X = n 1 ω 1 ω n (X t A ) X = P t (ˆω; A 1,..., A n 1 ). Theorem 4.6. Let A = (A 1,..., A n ) P n such that 0 < m A M for some scalars 0 < m M and a weght vector ω = (ω 1,..., ω n ). Let 1 < t s < 2. Then s t [ ( d(p t (ω; A), P s (ω; A)) t (A) + log K m/m, (M/m) t, t )], (2 s)(2 t) where the generalzed Kantorovch constant K(m, M, t) s defned by (1) and (A) = max 1,j n {d(a, A j )} denotes the d-dameter of A = (A 1,..., A n ).
7 OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2 7 Proof. Put X = P t (ω; A) and Y = P s (ω; A). Snce m A M for = 1,..., n and m X m 1 t M t, we have m/ma X (M/m) t A and m/ma A j M/mA for, j = 1,..., n. It follows from [18, Proposton 4] that K(m/M, M/m, t) K(m/M, (M/m) t, t) for 1 < t < 2. By Theorem 3.3, t follows that d(x, A j ) = d( ω (X t A ), ω A j ) max {d(x ta, A j t A j )} 1 n { max (t 1)d(X, Aj ) + td(a, A j ) + log K(m/M, (M/m) t, t) } 1 n = (t 1)d(X, A j ) + t (A) + log K(m/M, (M/m) t, t) for j = 1,..., n and hence we have d(x, A j ) By Lemma 4.1, we have d(x, Y ) = d(y, X) = d( t 2 t (A) t log K(m/M, (M/m)t, t). ω (Y s A ), ω (X t A )) max {d(y sa, X t A )} 1 n max {d(y sa, X s A ) + d(x s A, X t A )} 1 n max {(s 1)d(Y, X) + (s t)d(x, A )} 1 n [ t (s 1)d(X, Y ) + (s t) 2 t (A) t log K ( m/m, (M/m) t, t ) ] [ and hence we have d(x, Y ) s t t (A) + 1 log K (m/m, 2 s 2 t 2 t (M/m)t, t) ]. Theorem 4.7. Let A = (A 1,..., A n ) and B = (B 1,..., B n ) such that 0 < m 1 A M 1 and 0 < m 2 B M 2 for = 1,..., n for some scalars 0 < m 1 M 1 and 0 < m 2 M 2. Then for each 1 < t < 2 d(p t (ω; A), P t (ω; B)) t 2 t max 1 n {d(a, B )} t log K 1(t), where K 1 (t) = max{k(m 2 /m 1 t 1 M t 1, m 1 t 2 M t 2/m 1, t), K(m 2 /M 1, M 2 /m 1, t)}. Proof. For fxed t (1, 2), put X = P t (ω; A) and Y = P t (ω; B). Snce m 1 X m 1 t 1 M1 t and m 2 Y m 1 t 2 M2, t we have m 2 /m 1 t 1 M1X t Y m 1 t 2 M2/m t 1 X and m 2 /M 1 A
8 8 Y. SEO B M 2 /m 1 A for = 1,..., n. Then t follows from Theorem 3.3 that d(x, Y ) = d( ω (X t A ), ω (Y t B )) max {d(x ta, Y t B )} 1 n max {(t 1)d(X, Y ) + td(a, B ) + log K 1 (t)} 1 n = (t 1)d(X, Y ) + t max {d(a, B )} + log K 1 (t). 1 n Remark 4.8. As t 1 n Theorem 4.7, we have K 1 (t) 1. Snce P 1 (ω; A) = n ω A and P 1 (ω; B) = n ω B, ths corresponds to d( n ω A, n ω B ) max 1 n {d(a, B )}, see [12, Lemma 2.4]. 5. Monotoncty of power means In ths secton, we consder the monotoncty of P t (ω; A) for 1 < t < 2. Before ths, n the case of n = 2, we consder an explct form of P t (1 α, α; A, B) for 1 < t < 2 and moreover a postve soluton of (2) X = (1 α)(x t A) + α(x t B) for t R. The soluton of (2) s X = Am t,α B = A 1/2 ( (1 α)i + α(a 1/2 BA 1/2 ) t) 1/t A 1/2. Indeed, put C = A 1/2 BA 1/2 and Y = ((1 α)i + αc t ) 1/t. Then t follows that (1 α)(x t A) + α(x t B) = A 1/2 ((1 α)(y t I) + α(y t C)) A 1/2 = A 1/2 ( (1 α)y 1 t + αy 1 t C t) A 1/2 = A 1/2 ( Y 1 t ((1 α)i + αc t ) ) A 1/2 = A 1/2 Y A 1/2 = X. It s known that the soluton X = Am t,α B for α [0, 1] s nondecreasng for t R, see [11, Theorem 5.21]. However, n the case of n 3, we have the followng order relaton: Theorem 5.1. Let A = (A 1,..., A n ) P n such that m A M for = 1,..., n and some scalars 0 < m M. Then for each 1 < t s < 2 (3) (m/m) t(s 1) 2 s P s (ω; A) P t (ω; A) (M/m) s(t 1) 2 t P s (ω; A). To prove Theorem 5.1, we need the followng two lemmas. The followng lemma s the complement of the Löwner-Henz nequalty: Lemma 5.2. ([14, Lemma 2.2]) If Y X, then X p X p/2 Y p X p/2 Y p for 0 < p < 1. Lemma 5.3. For 1 < t < 2, defne f(x) = n ω (X t A ) where A are postve nvertble operators and ω s a weght vector. Let X, Y be postve nvertble operators such that m 1 Y M 1 and m 2 X M 2 for some scalars 0 < m M ( = 1, 2). Then Y X = f(x) f(y ) (M 2 /m 1 ) t 1 f(x). In partcular, f 2 s monotone, that s, f Y X, then f 2 (Y ) f 2 (X).
9 OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2 9 Proof. The assumpton Y X mples f(y ) = n (Y ta ) n (X ta ) = f(x) by () of Lemma 2.1. Put X = A 1/2 X 1 A 1/2, Y = A 1/2 Y 1 A 1/2 for = 1,..., n. Snce X 1 Y 1, we have X Y and t follows from Lemma 5.2 and 0 < t 1 < 1 that for = 1,..., n and hence Y t 1 Y (t 1)/2 Y t A Y (t 1)/2 X (t 1) Y (t 1)/2 X (t 1) X t 1 Y (t 1)/2 X t A. Also, by the Arak-Cordes nequalty [11, pp.67], we have Y (t 1)/2 X (t 1) Y (t 1)/2 = r((a 1/2 Y 1 A 1/2 )(A 1/2 Y 1/2 XA 1/2 )) t 1 X 1 Y 1/2 t 1 = r(xy 1 ) t 1 = X 1/2 Y 1 X 1/2 t 1 (M 2 /m 1 ) t 1. Therefore, we have f(y ) = ω (Y t A ) (M 2 /m 1 ) t 1 ω (X t A ) = (M 2 /m 1 ) t 1 f(x). Proof of Theorem 5.1 Put f(x) = n ω (X t A ) and then P t (ω; A) = lm k f k (X) for any X P. Snce X t A = X t/s (X s A ), t follows from 0 < t/s 1 that [ f(x) = ω (X t A ) = ω X t/s (X s A ) ] ω [(1 t s )X + t ] s (X sa ) = (1 t s )X + t s ω (X s A ). If we put X 0 = P s (ω; A), then we have f(x 0 ) (1 t s )X 0 + t ω (X 0 s A ) = (1 t s s )X 0 + t s X 0 = X 0. Moreover, we have m X 0 m 1 s M s and (m 1 s M s ) 1 t m t f(x 0 ) m 1 t M t. By Lemma 5.3, t follows that ( ) f 2 m 1 s M s t 1 (X 0 ) f(x (m 1 s M s ) 1 t m t 0 ) (M/m) st(t 1) X 0. Snce f 2 s monotonc, we have Inductvely we have f 4 (X 0 ) f 2 ( (M/m) st(t 1) X 0 ) = (M/m) st(t 1)(1 t) 2 f 2 (X 0 ) (M/m) st(t 1)(1 t)2 +st(t 1) X 0. f 2k (X 0 ) [ (M/m) 1 (1 t) 2k st(t 1)] 1 (1 t) 2 X 0.
10 10 Y. SEO As k, we have the desred nequalty P t (ω; A) (M/m) s(t 1) 2 t P s (ω; A). Smlarly, f we put Y 0 = P s (ω; A) and g(x) = n ω (X s A ), then we have the LHS of (3) n Theorem Postve lnear maps In ths secton, we consder an nformaton monotoncty of P t (ω; A) for 1 < t < 2. Though the Ando nequalty Φ(A t B) Φ(A) t Φ(B) holds for any postve lnear map and t [0, 1] (see [1]), the reverse holds n the case of t (1, 2): Lemma 6.1. Let Φ be a postve lnear map on B(H) and A, B P such that ma B MA for some scalars 0 < m M. Then Φ(A t B) Φ(A) t Φ(B) K(m, M, t) 1 Φ(A t B) for 1 < t < 2, where the generalzed Kantorovch constant K(m, M, t) s defned by (1). Proof. We may assume that Φ s strctly postve. For A, B > 0, put Ψ(X) = Φ(A) 1/2 Φ(A 1/2 XA 1/2 )Φ(A) 1/2 and hence Ψ s a untal postve lnear map. By the Jensen nequalty [11, Corollary 1.22, Corollary 2.12] (4) K(m, M, t)ψ(x) t Ψ(X t ) Ψ(X) t for 1 < t < 2. Therefore, t follows that Φ(A) 1/2 Φ(A t B)Φ(A) 1/2 = Φ(A) 1/2 Φ(A 1/2 (A 1/2 BA 1/2 ) t A 1/2 )Φ(A) 1/2 and we have Φ(A t B) Φ(A) t Φ(B). Lemma 6.1. = Ψ((A 1/2 BA 1/2 ) t ) Ψ(A 1/2 BA 1/2 ) t = ( Φ(A) 1/2 Φ(B)Φ(A) 1/2) t Smlarly, by usng (4), we have the RHS of The operator power means P t (ω; A) for t (0, 1] have an nformaton monotoncty, see [12, Proposton 3.6]. In the case of t (1, 2), we have the followng slghtly modfcaton: Theorem 6.2. Let A = (A 1,..., A n ) and a weght vector ω. Let Φ be a untal postve lnear map. For each 1 < t < 2 K ( (m/m) t, M/m, t ) 1 t(2 t) (m/m) t 1 2 t Φ(Pt (ω; A)) P t (ω; Φ(A)) (M/m) t(t 1) 2 t Φ(P t (ω; A)), where Φ(A) = (Φ(A 1 ),..., Φ(A n )) and the generalzed Kantorovch constant K(m, M, t) s defned by (1). Proof. Put X = P t (ω; A) and f(y ) = n ω (Y t Φ(A )) for any Y P. Snce Φ s untal, we have m Φ(X) m 1 t M t. Snce f(φ(x)) = n ω (Φ(X) t Φ(A )), we have (m 1 t M t ) 1 t m t f(φ(x)) m 1 t M t. It follows from f(φ(x)) Φ(X) that f 2 (Φ(X)) (M/m) t2 (t 1) f(φ(x)). Hence we have f 3 (Φ(X)) f 2 (Φ(X)) (M/m) t2 (t 1) Φ(X).
11 OPERATOR POWER MEANS DUE TO LAWSON-LIM-PÁLFIA FOR 1 < t < 2 11 Inductvely t follows that f 2k 1 (Φ(X)) [ ] 1 (1 t) 2k (M/m) t2 (t 1) 1 (1 t) 2 Φ(X) and as k we have [ ] 1 P t (ω; Φ(A)) (M/m) t2 (t 1) 1 (1 t) 2 Φ(P t (ω; A)) = (M/m) t(t 1) 2 t Φ(P t (ω; A)). Conversely, snce K((m/M) t, M/m, t) 1 Φ(X) f(φ(x)), we have K((m/M) t, M/m, t) 1 (M/m) t(t 1) Φ(X) f 2 (Φ(X)). Snce f 2 s monotone, t follows that f 3 (Φ(X)) f 2 (K((m/M) t, M/m, t) 1 Φ(X)) = K((m/M) t, M/m, t) (1 t)2 f 2 (Φ(X)) Inductvely, we have K((m/M) t, M/m, t) 1 (1 t)2 (m/m) t(t 1) Φ(X). K((m/M) t, M/m, t) 1 (1 t) 2(k 1) [ ] 1 1 (1 t) 2 (m/m) t(t 1) 1 (1 t) 2 Φ(X) f 2k 1 (Φ(X)) for k = 1, 2 and as k K((m/M) t, M/m, t) 1 t(2 t) (m/m) t 1 2 t Φ(Pt (ω; A) P t (ω; Φ(A)). Remark 6.3. As t 1 n Theorem 6.2, we have K((m/M) t, M/m, t) 1 t 1 t(2 t) (m/m) 2 t 1 and (M/m) t2 (t 1) 1. Ths corresponds to P 1 (ω; Φ(A)) = n ω Φ(A ) = Φ( n ω A ) = Φ(P 1 (ω; A)). Acknowledgement. The authors would lke to express ther cordal thanks to the referee for hs/her valuable suggestons. References [1] T. Ando, Concavty of certan maps on postve defnte matrces and applcatons to Hadamard products, Lnear Algebra Appl., 26 (1979), [2] K.V. Bhagwat and R. Subramanan, Inequaltes between means of postve operators, Math. Proc. Camb. Phl. Soc., 83 (1978), [3] R. Bhata, On the exponental metrc ncreasng property, Lnear Algebra Appl., 375 (2003), [4] R. Bhata, Postve Defnte Matrces, Prnceton Ser. Appl. Math., Prnceton Unversty Press, Prnceton, NJ, [5] R. Bhata and J. Holbrook, Remannan geometry and matrx means, Lnear Algebra Appl., 413 (2006), [6] G. Corach, H. Porta and L. Recht, Convexty of the geodesc dstance on spaces of postve operators, Illnos J. Math. 38(1994), [7] M. Fuj and R. Nakamoto, A geometrc mean n the Furuta nequalty, Sc. Math. Jpn., 55 (2002), [8] M. Fuj, J. Mćć Hot, J. Pečarć and Y. Seo, Recent developments of Mond-Pečarć method n operator nequaltes, Monographs n Inequaltes 4, Element, Zagreb, [9] T. Furuta, Invtaton to Lnear Operators, Taylor&Francs, London, [10] T. Furuta and Y. Seo, An applcaton of generalzed Furuta nequalty to Kantorovch type nequaltes, Sc. Math., 2, (1999), [11] T. Furuta, J. Mćć Hot, J. Pečarć and Y. Seo, Mond-Pečarć Method n Operator Inequaltes, Monographs n Inequaltes 1, Element, Zagreb, 2005.
12 12 Y. SEO [12] J. Lawson and Y. Lm, Karcher means and Karcher equatons of postve defnte operators, Trans. Amer. Math. Soc., Seres B, 1 (2014), [13] Y. Lm and M. Pálfa, Matrx power means and the Karcher mean, J. Funct. Anal., 262 (2012), [14] Y. Seo, On a reverse of Ando-Ha nequalty, Banach J. Math. Anal., 4(2010), [15] Y. Seo, Generalzed Pólya-Szegö type nequaltes for some non-commutatve geometrc means, Lnear Algebra Appl., 438 (2013), [16] A. C. Thompson, On certan contracton mappngs n a partally ordered vector space, Proc. Amer. Math. Soc., 14(1963), [17] T. Yamazak, Remannan mean and matrx nequaltes related to the Ando-Ha nequalty and chaotc order, Oper. Matrces., 6 (2012), [18] T. Yamazak and M. Yanagda, Characterzatons of chaotc order assocated wth Kantorovch nequalty, Sc. Math., 2 (1999), Department of Mathematcs Educaton, Osaka Kyoku Unversty, Asahgaoka, Kashwara, Osaka , Japan E-mal address: yuks@cc.osaka-kyoku.ac.jp
APPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationA CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS
Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs
More informationHADAMARD PRODUCT VERSIONS OF THE CHEBYSHEV AND KANTOROVICH INEQUALITIES
HADAMARD PRODUCT VERSIONS OF THE CHEBYSHEV AND KANTOROVICH INEQUALITIES JAGJIT SINGH MATHARU AND JASPAL SINGH AUJLA Department of Mathematcs Natonal Insttute of Technology Jalandhar 144011, Punab, INDIA
More information10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014)
0-80: Advanced Optmzaton and Randomzed Methods Lecture : Convex functons (Jan 5, 04) Lecturer: Suvrt Sra Addr: Carnege Mellon Unversty, Sprng 04 Scrbes: Avnava Dubey, Ahmed Hefny Dsclamer: These notes
More informationRandić Energy and Randić Estrada Index of a Graph
EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationA New Refinement of Jacobi Method for Solution of Linear System Equations AX=b
Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,
More informationOn some variants of Jensen s inequality
On some varants of Jensen s nequalty S S DRAGOMIR School of Communcatons & Informatcs, Vctora Unversty, Vc 800, Australa EMMA HUNT Department of Mathematcs, Unversty of Adelade, SA 5005, Adelade, Australa
More informationOn Finite Rank Perturbation of Diagonalizable Operators
Functonal Analyss, Approxmaton and Computaton 6 (1) (2014), 49 53 Publshed by Faculty of Scences and Mathematcs, Unversty of Nš, Serba Avalable at: http://wwwpmfnacrs/faac On Fnte Rank Perturbaton of Dagonalzable
More informationLectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix
Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could
More informationAnother converse of Jensen s inequality
Another converse of Jensen s nequalty Slavko Smc Abstract. We gve the best possble global bounds for a form of dscrete Jensen s nequalty. By some examples ts frutfulness s shown. 1. Introducton Throughout
More informationSTEINHAUS PROPERTY IN BANACH LATTICES
DEPARTMENT OF MATHEMATICS TECHNICAL REPORT STEINHAUS PROPERTY IN BANACH LATTICES DAMIAN KUBIAK AND DAVID TIDWELL SPRING 2015 No. 2015-1 TENNESSEE TECHNOLOGICAL UNIVERSITY Cookevlle, TN 38505 STEINHAUS
More informationThe Arithmetic-Geometric mean inequality in an external formula. Yuki Seo. October 23, 2012
Sc. Math. Japocae Vol. 00, No. 0 0000, 000 000 1 The Arthmetc-Geometrc mea equalty a exteral formula Yuk Seo October 23, 2012 Abstract. The classcal Jese equalty ad ts reverse are dscussed by meas of terally
More informationAppendix B. Criterion of Riemann-Stieltjes Integrability
Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationConvexity preserving interpolation by splines of arbitrary degree
Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete
More informationBOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS
BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationGeneral viscosity iterative method for a sequence of quasi-nonexpansive mappings
Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,
More informationMATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS
MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples
More informationLinear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.
Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +
More informationMath 702 Midterm Exam Solutions
Math 702 Mdterm xam Solutons The terms measurable, measure, ntegrable, and almost everywhere (a.e.) n a ucldean space always refer to Lebesgue measure m. Problem. [6 pts] In each case, prove the statement
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More information12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product
12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton
More informationAffine transformations and convexity
Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/
More informationarxiv: v2 [math.ca] 24 Sep 2010
A Note on the Weghted Harmonc-Geometrc-Arthmetc Means Inequaltes arxv:0900948v2 [mathca] 24 Sep 200 Gérard Maze, Urs Wagner e-mal: {gmaze,uwagner}@mathuzhch Mathematcs Insttute Unversty of Zürch Wnterthurerstr
More informationREAL ANALYSIS I HOMEWORK 1
REAL ANALYSIS I HOMEWORK CİHAN BAHRAN The questons are from Tao s text. Exercse 0.0.. If (x α ) α A s a collecton of numbers x α [0, + ] such that x α
More informationPerron Vectors of an Irreducible Nonnegative Interval Matrix
Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of
More informationA note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights
ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng
More informationFirst day August 1, Problems and Solutions
FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve
More informationCSCE 790S Background Results
CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each
More information8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS
SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars
More informationFormulas for the Determinant
page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use
More informationSpectral Graph Theory and its Applications September 16, Lecture 5
Spectral Graph Theory and ts Applcatons September 16, 2004 Lecturer: Danel A. Spelman Lecture 5 5.1 Introducton In ths lecture, we wll prove the followng theorem: Theorem 5.1.1. Let G be a planar graph
More informationTHE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION
THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton
More informationWe call V a Banach space if it is complete, that is to say every Cauchy sequences in V converges to an element of V. (a (k) a (l) n ) (a (l)
Queston 1 Part () Suppose (a n ) =. Then sup{ a N} =. But a for all, so t follows that a = for all, that s to say (a n ) =. Let (a n ) c and α C. Then αa = α α for each, so α(a n ) = (αa n ) = sup{ α a
More informationOn C 0 multi-contractions having a regular dilation
SUDIA MAHEMAICA 170 (3) (2005) On C 0 mult-contractons havng a regular dlaton by Dan Popovc (mşoara) Abstract. Commutng mult-contractons of class C 0 and havng a regular sometrc dlaton are studed. We prove
More information2.3 Nilpotent endomorphisms
s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms
More informationProjective change between two Special (α, β)- Finsler Metrics
Internatonal Journal of Trend n Research and Development, Volume 2(6), ISSN 2394-9333 www.jtrd.com Projectve change between two Specal (, β)- Fnsler Metrcs Gayathr.K 1 and Narasmhamurthy.S.K 2 1 Assstant
More informationDeriving the X-Z Identity from Auxiliary Space Method
Dervng the X-Z Identty from Auxlary Space Method Long Chen Department of Mathematcs, Unversty of Calforna at Irvne, Irvne, CA 92697 chenlong@math.uc.edu 1 Iteratve Methods In ths paper we dscuss teratve
More informationYong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )
Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often
More informationLinear Algebra and its Applications
Lnear Algebra and ts Applcatons 4 (00) 5 56 Contents lsts avalable at ScenceDrect Lnear Algebra and ts Applcatons journal homepage: wwwelsevercom/locate/laa Notes on Hlbert and Cauchy matrces Mroslav Fedler
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationMATH Homework #2
MATH609-601 Homework #2 September 27, 2012 1. Problems Ths contans a set of possble solutons to all problems of HW-2. Be vglant snce typos are possble (and nevtable). (1) Problem 1 (20 pts) For a matrx
More informationBinomial transforms of the modified k-fibonacci-like sequence
Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc
More informationprinceton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg
prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there
More informationMAT 578 Functional Analysis
MAT 578 Functonal Analyss John Qugg Fall 2008 Locally convex spaces revsed September 6, 2008 Ths secton establshes the fundamental propertes of locally convex spaces. Acknowledgment: although I wrote these
More informationMATH 281A: Homework #6
MATH 28A: Homework #6 Jongha Ryu Due date: November 8, 206 Problem. (Problem 2..2. Soluton. If X,..., X n Bern(p, then T = X s a complete suffcent statstc. Our target s g(p = p, and the nave guess suggested
More informationON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES. 1. Introduction
ON THE EXTENDED HAAGERUP TENSOR PRODUCT IN OPERATOR SPACES TAKASHI ITOH AND MASARU NAGISA Abstract We descrbe the Haagerup tensor product l h l and the extended Haagerup tensor product l eh l n terms of
More informationThe lower and upper bounds on Perron root of nonnegative irreducible matrices
Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College
More informationDIFFERENTIAL FORMS BRIAN OSSERMAN
DIFFERENTIAL FORMS BRIAN OSSERMAN Dfferentals are an mportant topc n algebrac geometry, allowng the use of some classcal geometrc arguments n the context of varetes over any feld. We wll use them to defne
More informationCOMPLEX NUMBERS AND QUADRATIC EQUATIONS
COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not
More informationFACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP
C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class
More informationUniqueness of Weak Solutions to the 3D Ginzburg- Landau Model for Superconductivity
Int. Journal of Math. Analyss, Vol. 6, 212, no. 22, 195-114 Unqueness of Weak Solutons to the 3D Gnzburg- Landau Model for Superconductvty Jshan Fan Department of Appled Mathematcs Nanjng Forestry Unversty
More informationY. Guo. A. Liu, T. Liu, Q. Ma UDC
UDC 517. 9 OSCILLATION OF A CLASS OF NONLINEAR PARTIAL DIFFERENCE EQUATIONS WITH CONTINUOUS VARIABLES* ОСЦИЛЯЦIЯ КЛАСУ НЕЛIНIЙНИХ ЧАСТКОВО РIЗНИЦЕВИХ РIВНЯНЬ З НЕПЕРЕРВНИМИ ЗМIННИМИ Y. Guo Graduate School
More informationCME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13
CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 13 GENE H GOLUB 1 Iteratve Methods Very large problems (naturally sparse, from applcatons): teratve methods Structured matrces (even sometmes dense,
More informationGenericity of Critical Types
Genercty of Crtcal Types Y-Chun Chen Alfredo D Tllo Eduardo Fangold Syang Xong September 2008 Abstract Ely and Pesk 2008 offers an nsghtful characterzaton of crtcal types: a type s crtcal f and only f
More informationAppendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems
More informatione - c o m p a n i o n
OPERATIONS RESEARCH http://dxdoorg/0287/opre007ec e - c o m p a n o n ONLY AVAILABLE IN ELECTRONIC FORM 202 INFORMS Electronc Companon Generalzed Quantty Competton for Multple Products and Loss of Effcency
More informationSL n (F ) Equals its Own Derived Group
Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu
More informationON THE JACOBIAN CONJECTURE
v v v Far East Journal of Mathematcal Scences (FJMS) 17 Pushpa Publshng House, Allahabad, Inda http://www.pphm.com http://dx.do.org/1.17654/ms1111565 Volume 11, Number 11, 17, Pages 565-574 ISSN: 97-871
More informationarxiv: v1 [math.co] 12 Sep 2014
arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March
More informationn α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0
MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector
More informationarxiv:quant-ph/ Feb 2000
Entanglement measures and the Hlbert-Schmdt dstance Masanao Ozawa School of Informatcs and Scences, Nagoya Unversty, Chkusa-ku, Nagoya 464-86, Japan Abstract arxv:quant-ph/236 3 Feb 2 In order to construct
More informationStanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011
Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected
More informationCompetitive Experimentation and Private Information
Compettve Expermentaton an Prvate Informaton Guseppe Moscarn an Francesco Squntan Omtte Analyss not Submtte for Publcaton Dervatons for te Gamma-Exponental Moel Dervaton of expecte azar rates. By Bayes
More informationNOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules
NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules EVAN WILSON Quantum groups Consder the Le algebra sl(n), whch s the Le algebra over C of n n trace matrces together wth the commutator
More informationMaximizing the number of nonnegative subsets
Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum
More informationBallot Paths Avoiding Depth Zero Patterns
Ballot Paths Avodng Depth Zero Patterns Henrch Nederhausen and Shaun Sullvan Florda Atlantc Unversty, Boca Raton, Florda nederha@fauedu, ssull21@fauedu 1 Introducton In a paper by Sapounaks, Tasoulas,
More informationIdeal Amenability of Second Duals of Banach Algebras
Internatonal Mathematcal Forum, 2, 2007, no. 16, 765-770 Ideal Amenablty of Second Duals of Banach Algebras M. Eshagh Gord (1), F. Habban (2) and B. Hayat (3) (1) Department of Mathematcs, Faculty of Scences,
More informationSome basic inequalities. Definition. Let V be a vector space over the complex numbers. An inner product is given by a function, V V C
Some basc nequaltes Defnton. Let V be a vector space over the complex numbers. An nner product s gven by a functon, V V C (x, y) x, y satsfyng the followng propertes (for all x V, y V and c C) (1) x +
More informationSUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N)
SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) S.BOUCKSOM Abstract. The goal of ths note s to present a remarably smple proof, due to Hen, of a result prevously obtaned by Gllet-Soulé,
More informationMath 217 Fall 2013 Homework 2 Solutions
Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has
More informationExistence results for a fourth order multipoint boundary value problem at resonance
Avalable onlne at www.scencedrect.com ScenceDrect Journal of the Ngeran Mathematcal Socety xx (xxxx) xxx xxx www.elsever.com/locate/jnnms Exstence results for a fourth order multpont boundary value problem
More informationarxiv: v4 [math.ac] 20 Sep 2013
arxv:1207.2850v4 [math.ac] 20 Sep 2013 A SURVEY OF SOME RESULTS FOR MIXED MULTIPLICITIES Le Van Dnh and Nguyen Ten Manh Truong Th Hong Thanh Department of Mathematcs, Hano Natonal Unversty of Educaton
More informationAn efficient algorithm for multivariate Maclaurin Newton transformation
Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,
More informationA generalization of a trace inequality for positive definite matrices
A generalzaton of a trace nequalty for postve defnte matrces Elena Veronca Belmega, Marc Jungers, Samson Lasaulce To cte ths verson: Elena Veronca Belmega, Marc Jungers, Samson Lasaulce. A generalzaton
More informationOn the smoothness and the totally strong properties for nearness frames
Int. Sc. Technol. J. Namba Vol 1, Issue 1, 2013 On the smoothness and the totally strong propertes for nearness frames Martn. M. Mugoch Department of Mathematcs, Unversty of Namba 340 Mandume Ndemufayo
More information6) Derivatives, gradients and Hessian matrices
30C00300 Mathematcal Methods for Economsts (6 cr) 6) Dervatves, gradents and Hessan matrces Smon & Blume chapters: 14, 15 Sldes by: Tmo Kuosmanen 1 Outlne Defnton of dervatve functon Dervatve notatons
More informationCocyclic Butson Hadamard matrices and Codes over Z n via the Trace Map
Contemporary Mathematcs Cocyclc Butson Hadamard matrces and Codes over Z n va the Trace Map N. Pnnawala and A. Rao Abstract. Over the past couple of years trace maps over Galos felds and Galos rngs have
More informationOn the average number of divisors of the sum of digits of squares
Notes on Number heory and Dscrete Mathematcs Prnt ISSN 30 532, Onlne ISSN 2367 8275 Vol. 24, 208, No. 2, 40 46 DOI: 0.7546/nntdm.208.24.2.40-46 On the average number of dvsors of the sum of dgts of squares
More informationModelli Clamfim Equazione del Calore Lezione ottobre 2014
CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g
More information1 Convex Optimization
Convex Optmzaton We wll consder convex optmzaton problems. Namely, mnmzaton problems where the objectve s convex (we assume no constrants for now). Such problems often arse n machne learnng. For example,
More informationLecture 3. Ax x i a i. i i
18.409 The Behavor of Algorthms n Practce 2/14/2 Lecturer: Dan Spelman Lecture 3 Scrbe: Arvnd Sankar 1 Largest sngular value In order to bound the condton number, we need an upper bound on the largest
More informationFixed points of IA-endomorphisms of a free metabelian Lie algebra
Proc. Indan Acad. Sc. (Math. Sc.) Vol. 121, No. 4, November 2011, pp. 405 416. c Indan Academy of Scences Fxed ponts of IA-endomorphsms of a free metabelan Le algebra NAIME EKICI 1 and DEMET PARLAK SÖNMEZ
More informationA Note on Bound for Jensen-Shannon Divergence by Jeffreys
OPEN ACCESS Conference Proceedngs Paper Entropy www.scforum.net/conference/ecea- A Note on Bound for Jensen-Shannon Dvergence by Jeffreys Takuya Yamano, * Department of Mathematcs and Physcs, Faculty of
More informationSPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION
SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SERGIO ALBEVERIO 1,2,3,4, VOLODYMYR KOSHMANENKO 5, MYKOLA PRATSIOVYTYI 6, GRYGORIY TORBIN 7 Abstract. We ntroduce the conflct
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationCurvature and isoperimetric inequality
urvature and sopermetrc nequalty Julà ufí, Agustí Reventós, arlos J Rodríguez Abstract We prove an nequalty nvolvng the length of a plane curve and the ntegral of ts radus of curvature, that has as a consequence
More informationSelf-complementing permutations of k-uniform hypergraphs
Dscrete Mathematcs Theoretcal Computer Scence DMTCS vol. 11:1, 2009, 117 124 Self-complementng permutatons of k-unform hypergraphs Artur Szymańsk A. Paweł Wojda Faculty of Appled Mathematcs, AGH Unversty
More informationNorms, Condition Numbers, Eigenvalues and Eigenvectors
Norms, Condton Numbers, Egenvalues and Egenvectors 1 Norms A norm s a measure of the sze of a matrx or a vector For vectors the common norms are: N a 2 = ( x 2 1/2 the Eucldean Norm (1a b 1 = =1 N x (1b
More informationAffine and Riemannian Connections
Affne and Remannan Connectons Semnar Remannan Geometry Summer Term 2015 Prof Dr Anna Wenhard and Dr Gye-Seon Lee Jakob Ullmann Notaton: X(M) space of smooth vector felds on M D(M) space of smooth functons
More informationLecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2
P470 Lecture 6/7 (February 10/1, 014) DIRAC EQUATION The non-relatvstc Schrödnger equaton was obtaned by notng that the Hamltonan H = P (1) m can be transformed nto an operator form wth the substtutons
More informationSharp integral inequalities involving high-order partial derivatives. Journal Of Inequalities And Applications, 2008, v. 2008, article no.
Ttle Sharp ntegral nequaltes nvolvng hgh-order partal dervatves Authors Zhao, CJ; Cheung, WS Ctaton Journal Of Inequaltes And Applcatons, 008, v. 008, artcle no. 5747 Issued Date 008 URL http://hdl.handle.net/07/569
More informationOn statistical convergence in generalized Lacunary sequence spaces
BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Number 2(87), 208, Pages 7 29 ISSN 024 7696 On statstcal convergence n generalzed Lacunary sequence spaces K.Raj, R.Anand Abstract. In the
More informationNorm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise
ppled Mathematcal Scences, Vol. 4, 200, no. 60, 2955-296 Norm Bounds for a ransformed ctvty Level Vector n Sraffan Systems: Dual Exercse Nkolaos Rodousaks Department of Publc dmnstraton, Panteon Unversty
More informationExercise Solutions to Real Analysis
xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there
More informationA summation on Bernoulli numbers
Journal of Number Theory 111 (005 37 391 www.elsever.com/locate/jnt A summaton on Bernoull numbers Kwang-Wu Chen Department of Mathematcs and Computer Scence Educaton, Tape Muncpal Teachers College, No.
More informationP.P. PROPERTIES OF GROUP RINGS. Libo Zan and Jianlong Chen
Internatonal Electronc Journal of Algebra Volume 3 2008 7-24 P.P. PROPERTIES OF GROUP RINGS Lbo Zan and Janlong Chen Receved: May 2007; Revsed: 24 October 2007 Communcated by John Clark Abstract. A rng
More informationSection 8.3 Polar Form of Complex Numbers
80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the
More information