Research Article Jensen Functionals on Time Scales for Several Variables

Size: px
Start display at page:

Download "Research Article Jensen Functionals on Time Scales for Several Variables"

Transcription

1 Hdaw Publshg Corporato Iteratoal Joural of Aalyss, Artcle ID , 14 pages Research Artcle Jese Fuctoals o Tme Scales for Several Varables Matloob Awar, 1 Raba Bb, 1 Mart Boher, 2 ad Josp PeIarT 3 1 School of Natural Sceces, Natoal Uversty of Sceces ad Techology, H-12, Islamabad 44000, Paksta 2 Departmet of Mathematcs ad Statstcs, Mssour Uversty of Scece ad Techology, Rolla, MO , USA 3 Faculty of Textle Techology, Uversty of Zagreb, Perottjeva 6, Zagreb, Croata Correspodece should be addressed to Raba Bb; emaorr@gmal.com Receved 16 November 2013; Accepted 21 February 2014; Publshed 10 Aprl 2014 Academc Edtor: Baruch Cahlo Copyrght 2014 Matloob Awar et al. Ths s a ope access artcle dstrbuted uder the Creatve Commos Attrbuto Lcese, whch permts urestrcted use, dstrbuto, ad reproducto ay medum, provded the orgal work s properly cted. We defe Jese fuctoals ad cocered geeralzed meas for several varables o tme scales. We derve propertes of Jese fuctoals ad apply them to geeralzed meas. I ths settg, we obta geeralzatos, refemets, ad coversos of may remarkable equaltes. 1. Itroducto Jese sequaltyswellkowaalyssadmayother areas of mathematcs. Most of the classcal equaltes ca be obtaed by usg the Jese equalty. For tme scale theory,jese sequaltyforoevarablesobtaedby Agarwal et al. 1, ad ow there are varous extesos ad geeralzatos of t gve by may researchers (see 2 8. I 3, t s show that the Jese equalty for oe varable holds for tme scale tegrals cludg the Cauchy delta, Cauchy abla, damod-α, Rema, Lebesgue, multple Rema, ad multple Lebesgue tegrals. Further, 4, we gve propertes ad applcatos of Jese fuctoals o tme scales for oe varable. I ths paper, we obta the Jese equalty for several varables ad deduce Jese fuctoals. We dscuss several propertes ad applcatos of Jese fuctoals. I the sequel,wegvealltheresultsforlebesguedeltategrals. For other tme scale tegrals, as metoed above, all those results ca be obtaed a smlar way. These results geeralze the results gve 4 for oe varable. Now, we gve a bref troducto of tme scale tegrals; for a detaled troducto we refer to 1, A tme scale T s a arbtrary closed subset of R, ad tme scale calculus provdes ufcato ad exteso of classcal results. For example, whe T = R, the tme scale tegral s a ordary tegral, ad whe T = Z, the tme scale tegral becomes a sum. I 10, Chapter 5, the Lebesgue tegral s troduced: let a, b T be a tme scale terval defed by a, b = {t T :a t<b}, (1 where a, b T wth a b.letμ be the Lebesgue - measure o a, b. Supposef : R s a μ - measurable fucto. The the Lebesgue -tegral of f o a, b s deoted by fdμ, f (t dμ (t, or f (t t. (2 All theorems of the geeral Lebesgue tegrato theory, cludg the Lebesgue domated covergece theorem, hold also for Lebesgue -tegrals o T. Now, we gve some propertes of Lebesgue -tegrals ad state Jese s equalty ad Hölder s equalty for Lebesgue -tegrals. Throughout ths paper, a, b deotes a tme scale terval otherwse s specfed.

2 2 Iteratoal Joural of Aalyss Theorem 1 (see 3, Theorem 3.2. If f ad g are -tegrable fuctos o a, b,the (αf + βg dμ =α fdμ +β gdμ f (t 0 t a, b mples fdμ 0. α, β R, Theorem 2 (see 3, Theorem4.2.Assume Φ C(I, R s covex, where I R s a terval. Suppose f: Is -tegrable. Moreover, let p: R be oegatve ad -tegrable such that >0.The (3 Φ( pfdμ p(φ fdμ. (4 Theorem 3 (see 3, Theorem6.2.For p =1,defeq = p/(p 1.Letw, f, g be oegatve fuctos such that wf p, wg q, wfg are -tegrable o a, b.ifp>1,the 1/p 1/q wfgdμ ( wf p dμ ( wg q dμ. (5 If 0 < p < 1 ad wg q dμ > 0,orfp < 0 ad wf p dμ >0,the(5 s reversed. Remark 4. Theorem 1 recalls that the Lebesgue -tegral s a sotoc lear fuctoal (see 13. So we ca also use the approach of sotoc lear fuctoals wheever results are kow for sotoc lear fuctoals. I the ext secto, we gve Jese equalty o tme scales for several varables ad defe Jese fuctoals. I Secto 3, we vestgate propertes of Jese fuctoals ad some of ts cosequeces regardg superaddtvty ad mootocty. I Secto 4, we apply these results to weghted geeral meas, defed o tme scales, ad gve may applcatos. Fally Secto 5, we gve applcatos to Hölder s equalty o tme scales. = 1,2,...,,are-tegrable o a, b such that f(t = (f 1 (t,...,f (t K for all t.moreover,let p : R be oegatve ad -tegrable such that >0.The Φ( pfdμ pφ (f dμ. (7 Proof. Suppose Φ s covex o K R. Therefore, for every pot x 0 K, there exsts a pot R (see 13, Theorem 1.31 such that Φ (x Φ(x 0, x x 0. (8 Let =( 1,...,.By(8, we get pφ (f dμ Φ( pfdμ p{φ(f Φ( pfdμ / } dμ = p, f ( pfdμ / dμ p =1 (f ( pf dμ / dμ = =0, adhecetheproofscompleted. Remark 6. By usg the fact that the tme scale tegral s a sotoc lear fuctoal, Theorem 5 ca also be obtaedby usg Theorem 1 ad 13, Theorem 2.6. Defto 7. Assume Φ C(K,R, wherek R s closed ad covex. Suppose f, = 1,2,...,,are-tegrable o a, b such that f(t = (f 1 (t,...,f (t K for all t a, b. Moreover, let p : a, b R be oegatve ad -tegrable such that >0. The oe defes the Jese fuctoal o tme scales for several varables by (9 2. Jese Iequalty ad Jese Fuctoals Let f(t = (f 1 (t,...,f (t be a -tuple of fuctos such that f 1,...,f are -tegrable o a, b. The fdμ deotes the -tuple: J (Φ, f,p= pφ (f dμ Φ( pfdμ (10 ( f 1 dμ,..., f dμ. (6 That s, -tegral acts o each compoet of f. Theorem 5 (Jese equalty. Assume Φ C(K, R s covex, where K R s closed ad covex. Suppose f, Remark 8. By Theorem 5,thefollowgstatemetsareobvous. If Φ s covex, the whle f Φ s cocave, the J (Φ, f,p 0 (11 J (Φ, f,p 0. (12

3 Iteratoal Joural of Aalyss 3 Example 9. Let = {1,2,...,}, f 1 ( = x 1,...,f ( = x,adp( = p, = 1,2,..., (10. The the Jese fuctoal (10becomes Proof. Let Φ be covex. Because the tme scales tegral s lear (see Theorem 1, t follows from Defto 7 that J (Φ, f,p+q J (Φ, X, p = =1 p Φ(x P Φ( =1 p x, (13 P where X = (x 1, x 2,...,x wth x = (x 1,x 2,...,x, p = (p 1,...,p,adP = =1 p >0.Somepropertesofthe Jese fuctoal J are vestgated 14, 15. Example 10. If a, b s a real terval, the Jese s fuctoal (10becomes p (t Φ(f 1 (t,f 2 (t,...,f (tdμ(t p (t dμ (t Φ( p (t f 1 (t dμ (t p (t dμ (t, p (t f 2 (t dμ (t,..., p (t dμ (t = (p + q Φ (f dμ (p + q dμ Φ( (p + q fdμ (p + q dμ = pφ (f dμ + qφ (f dμ ( + Φ( pfdμ + qfdμ + pφ (f dμ + qφ (f dμ Φ( pfdμ (17 p (t f (t dμ (t. p (t dμ (t (14 Φ( qfdμ = J (Φ, f,p+j (Φ, f,q. 3. Propertes of Jese Fuctoals I the followg theorem, we gve our ma result cocerg the propertes of the Jese fuctoal (10. Theorem 11. Assume Φ C(K, R, wherek R s closed ad covex. Suppose f, = 1,2,...,,are-tegrable o a, b such that f(t = (f 1 (t,...,f (t K for all t a, b. Moreover, let p, q : a, b R be oegatve ad - tegrable such that >0ad >0.IfΦ s covex, the J (Φ, f, s superaddtve; that s, J (Φ, f,p+q J (Φ, f,p + J (Φ, f,q, (15 If p q,wehavep q 0.Now,becauseJese sfuctoal s superaddtve ad oegatve, we have J (Φ, f,p=j (Φ, f,p q+q J (Φ, f,p q+j (Φ, f,q J (Φ, f,q. (18 O the other had, f Φ s cocave, the the reversed equaltes of (15 ad(16 ca be obtaed a smlar way. Corollary 12. Let Φ, f, p, q satsfy the hypotheses of Theorem 11. Further, supposethereexstoegatvecostats m ad M such that ad J (Φ, f, s creasg; that s, p qwth > mples Mq (t p(t mq(t t a, b, M > >m. (19 J (Φ, f,p J (Φ, f,q. (16 Moreover, f Φ s cocave, the J (Φ, f, s subaddtve ad decreasg; that s, (15 ad (16 hold reverse order. If Φ s covex, the MJ (Φ, f,q J (Φ, f,p mj (Φ, f,q, (20 whle f Φ s cocave, the the equaltes (20 hold reverse order.

4 4 Iteratoal Joural of Aalyss Proof. By usg (10, we have J (Φ, f,mq=mj (Φ, f,q, J (Φ, f,mq=mj (Φ, f,q. (21 Now the result follows from the secod property of Theorem 11. Corollary 13. Let Φ, f, p satsfy the hypotheses of Theorem 11. Further, assume that p attas ts mmum value ad ts maxmum value o ts doma. If Φ s covex, the where max t p (t J (Φ, f J (Φ, f,p J (Φ, f = m t p (t J (Φ, f, Φ (f dμ ( Φ( fdμ. (22 (23 Moreover, f Φ s cocave, the the equaltes (22 hold reverse order. Proof. Let p atta ts mmum ad maxmum values o ts doma a, b.the Let max p (t p(t m p (t. (24 t t p (t = max p (t, t By usg (10, we have p(t = m p (t. (25 t J (Φ, f, p = max t p (t J (Φ, f, J (Φ, f,p=m t p (t J (Φ, f. (26 Now the result follows from the secod property of Theorem 11. Example 14. Let the fuctoal J (Φ, X, p be defed as Example 9. Letq = (q 1,...,q wth q 0 ad =1 q = Q >0.IfΦ s covex, the Theorem 11 mples J (Φ, X, s superaddtve; that s, J (Φ, X, p + q J (Φ, X, p + J (Φ, X, q, (27 ad J (Φ, X, s creasg; that s, f p q such that P >Q, the J (Φ, X, p J (Φ, X, q. (28 Moreover, f Φ s cocave, the the equaltes (27 ad (28 hold reverse order. If p attas ts mmum ad maxmum values o ts doma, the Corollary 13 yelds max {p } J (Φ, X J (Φ, X, p m {p } J (Φ, X, 1 1 (29 where J (Φ, X = =1 Φ(x Φ( =1 x, (30 f Φ s covex. Further, the equaltes (29 hold reverse order f Φ s cocave. 4. Applcatos to Weghted Geeralzed Meas I the sequel, I R s a terval ad K R s closed ad covex. Defto 15. Assume χ C(I, R s strctly mootoe ad φ : K I s a fucto of varables. Suppose f, = 1, 2,...,,are -tegrable o a, b such that f(t = (f 1 (t,...,f (t K for all t. Moreover, let p : a, b R be oegatve ad -tegrable such that pχ(φ(f s -tegrable ad >0. The oe defes the weghted geeralzed mea o tme scales by M (χ, φ (f,p=χ 1 ( pχ (φ (fdμ. (31 Theorem 16. Assume χ, ψ C(I, R, = 1,2,...,,are strctly mootoe ad φ : K I R s a fucto of varables. Suppose f : a, b I, = 1,2,...,,aretegrable such that f(t = (f 1 (t,...,f (t K for all t a, b. Moreover,let p, q : a, b R be oegatve ad - tegrable such that pχ(φ(f, qχ(φ(f, pψ (f, qψ (f, = 1,2,...,,are-tegrable ad >0, > 0.IfH defed by H(s 1,...,s =χ φ(ψ 1 1 (s 1,...,ψ 1 (s (32 s covex, the the fuctoal χ (M (χ, φ (f,p χ φ(m (ψ 1,f 1,p,..., M (ψ,f,p (33

5 Iteratoal Joural of Aalyss 5 s superaddtve, that s, (p + q dμ χ (M (χ, φ (f,p+q χ φ(m (ψ 1,f 1,p+q,..., M (ψ,f,p+q = χ (M (χ, φ (f,p χ φ(m (ψ 1,f 1,p,..., M (ψ,f, p. Now, all clams follow mmedately from Theorem 11. (36 χ (M (χ, φ (f,p χ φ(m (ψ 1,f 1,p,..., M (ψ,f, p + χ (M (χ, φ (f,q χ φ(m (ψ 1,f 1,q,..., M (ψ,f, q, (34 ad creasg; that s, p qwth > mples χ (M (χ, φ (f,p χ φ(m (ψ 1,f 1,p,..., M (ψ,f, p χ (M (χ, φ (f,q χ φ(m (ψ 1,f 1,q,..., M (ψ,f,q. (35 Moreover, f H s cotuous ad cocave, the (33 s subaddtve ad decreasg; that s, (34 ad (35 hold reverse order. Proof. The fuctoal defed (33s obtaed by replacg Φ wth H ad f wth ψ (f, = 1,2,...,,theJese fuctoal (10 adlettgψ(f =(ψ 1 (f 1,...,ψ (f ; that s, J (H, Ψ (f,p = pχ φ (f 1,...,f dμ H( pψ 1 (f 1 dμ,..., pψ (f dμ = χ(m (χ, φ (f,p χ φ(m (ψ 1,f 1,p,...,M (ψ,f,p Corollary 17. Let H, φ, f, p, χ, f,adψ, =1,...,,satsfy the hypothess of Theorem 16. Further, assume that p attas ts mmum value ad ts maxmum value o ts doma. If H s covex, the max p (t ( t where χ(m (χ, φ (f χ φ (M (ψ 1,f 1,..., M (ψ,f χ (M (χ, φ (f,p χ φ (M (ψ 1,f 1,p,...,M (ψ,f,p m p (t ( t χ(m (χ, φ (f χ φ (M (ψ 1,f 1,..., M (ψ,f, (37 M (χ, φ (f =χ 1 ( χ(φ(fdμ. (38 Moreover, f H s cocave, the the equaltes (37 hold reverse order. Proof. The proof s omtted as t s smlar to the proof of Corollary 13. Remark 18. If we take the dscrete form of the weghted geeralzedmea(31 wth =1,theweobta the quasarthmetc mea. Namely, let ψ : I R R be cotuous ad strctly mootoe, a =(a 1,...,a wth a k I, k = 1,...,,adw =(w 1,...,w wth w k 0ad k=1 w k =1. The the quasarthmetc mea of a wth weght w s defed by M =ψ 1 ( k=1 w k ψ(a k. (39 Now the followg examples coect the quasarthmetc mea (39 ad the propertes of Jese fuctoals. Example 19 (see 16, Corollary 3. Let w ad ψ be defed as Remark 18 ad let ψ be strctly creasg ad strctly

6 6 Iteratoal Joural of Aalyss covex wth cotuous dervatves of secod order such that ψ /ψ s cocave. Further, let X, p, x, =1,...,, be defed as Example 9,adq =(q 1,...,q wth q 0, =1,...,, ad =1 q =Q >0.The,Φ M (x =ψ 1 ( k=1 w kψ(x k s a covex fucto (see 17,Theorem1,page197.Heceby Theorem 11,the fuctoal Also, by Corollary 12,wehave max {p } J 1 (Φ M, X J (Φ M, X, p m {p } J 1 (Φ M, X, (49 J (Φ M, X, p = =1 s superaddtve, that s, p Φ M (x P Φ M ( =1 p x (40 P J (Φ M, X, p + q J (Φ M, X, p+j (Φ M, X, q, (41 ad creasg; that s, f p q such that P >Q,the J (Φ M, X, p J (Φ M, X, q. (42 Also, by Corollary 12,wehave max {p } J (Φ M, X J (Φ M, X, p 1 m {p } J (Φ M, X, 1 where J (Φ M, X = =1 (43 Φ M (x Φ M ( =1 x. (44 Example 20 (see 16, Corollary 4. Cosder (39, but wth dfferet codtos o ψ ad w.namely,f ( w 1for =1,...,; ( ψ:r + R + ; ( lm x 0 ψ(x = or lm x ψ(x =, the we defe M =ψ 1 ( k=1 w k ψ (a k. (45 Let X, p, x, = 1,...,, be defed as Example 9 ad q = (q 1,...,q wth q 0 ad =1 q = Q > 0.Let ψ be strctly creasg ad strctly covex wth cotuous dervatves of secod order such that ψ/ψ s covex. The Φ M (x =ψ 1 ( k=1 w kψ(x k s a covex fucto (see 17, Theorem 2, page 197. Hece, by Theorem 11,thefuctoal J (Φ M, X, p = =1 s superaddtve, that s, p Φ M (x k P Φ M ( =1 p x k P (46 J (Φ M, X, p + q J (Φ M, X, p+j (Φ M, X, q, (47 ad creasg; that s, f p q,the J (Φ M, X, p J (Φ M, X, q. (48 where J (Φ M, X = =1 Φ M (x k Φ M ( =1 x k. (50 Example 21 (see 16, Corollary 5. For a real-valued fucto f defed o terval a, b,a th order dvded dfferece of f at dstct pots x 0,...,x a, b s defed recursvely by x f=f(x, =0,...,, x 0,...,x f= x 1,...,x f x 0,...,x 1 f x x 0. (51 Further, f s -covex o a, b, 0, f ad oly f, for all choces of +1dstct pots a, b, x 0,...,x f 0. (52 Let X, p, x, = 1,...,, be defed as Example 9 ad q = (q 1,...,q,wthq 0ad =1 q =Q >0.Letf:I R be ( + 1-covex, where I R s a closed ad bouded terval. The by Theorem 11,forΦ G (x =x 1,...,x f,the fuctoal J (Φ G, X, p = =1 s superaddtve, that s, p Φ G (x P Φ G ( =1 p x (53 P J (Φ G, X, p + q J (Φ G, X, p + J (Φ G, X, q, (54 ad creasg; that s, f p q such that P >Q,the Also, by Corollary 12,wehave where J (Φ G, X, p J (Φ G, X, q. (55 max 1 {p } J (Φ G, X J (Φ G, X, p m 1 {p } J (Φ G, X, J (Φ G, X = =1 (56 Φ G (x Φ G ( =1 x. (57 Corollary 22. Assume χ, ψ 1,adψ 2 C 2 (I, R are strctly mootoe. Suppose f 1,f 2 : a, b I are -tegrable such that f 1 (t + f 2 (t I for all t a, b ad p, q : a, b R are oegatve ad -tegrable such that pχ(f 1 +f 2,

7 Iteratoal Joural of Aalyss 7 qχ(f 1 +f 2, pψ (f,adqψ (f, = 1,2,are-tegrable ad >0, >0.Further,let E= ψ 1 ψ1, F = ψ 2 ψ2 If ψ 1, ψ 2,adχ are postve ad ψ the the fuctoal, G = χ. (58 χ 1, ψ 2,adχ are egatve, χ (M (χ, f 1 +f 2,p χ (M (ψ 1,f 1,p+M (ψ 2,f 2, p s superaddtve, that s, (p + q dμ χ (M (χ, f 1 +f 2,p+q χ(m (ψ 1,f 1,p+q +M (ψ 2,f 2, p + q χ (M (χ, f 1 +f 2,p χ (M (ψ 1,f 1,p+M (ψ 2,f 2,p (59 + χ (M (χ, f 1 +f 2,q χ (M (ψ 1,f 1,q+M (ψ 2,f 2, q, (60 ad creasg; that s, f p q such that >,the χ (M (ψ 1,f 1,p+M (ψ 2,f 2,p m t p (t ( χ (M (χ, f 1 +f 2 χ (M (ψ 1,f 1 +M (ψ 2,f 2. (62 Moreover, f ψ 1, ψ 2, χ, ψ 1, ψ 2,adχ are all postve, the the equaltes (60, (61,ad(62 are reversed f ad oly f G(x+y E(x+F(y. Proof. Let =2 Theorem 16. Bysettgφ(x,y= x+y, we have H(s 1,s 2 =χ(ψ 1 1 (s 1 +ψ 1 2 (s 2. (63 If ψ 1, ψ 2,adχ are postve ad ψ 1, ψ 2,adχ are egatve, the H s covex f ad oly f G(x + y E(x + F(y (see 18. If ψ 1, ψ 2, χ, ψ 1, ψ 2,adχ are all postve, the H s cocave f ad oly f G(x+y E(x+F(y(see 18. Now, all clams follow mmedately fromtheorem 16. Corollary 23. Assume χ, ψ 1,adψ 2 C 2 (I, R are strctly mootoe. Suppose f 1,f 2 : a, b I are -tegrable such that f 1 (tf 2 (t I for all t ad p, q : a, b R are oegatve ad -tegrable such that pχ(f 1 f 2, qχ(f 1 f 2, pψ (f,adqψ (f, =1,2,are-tegrable ad >0, >0.Further,let A (t = ψ 1 (t ψ1 (t +tψ 1 (t, B(t = ψ2 (t ψ2 (t +tψ 2 (t, C (t = χ (t χ (t +tχ (t. (64 If ψ 1, ψ 2,adχ arepostveada, B,adC are egatve, the the fuctoal χ (M (χ, f 1 +f 2,p χ (M (ψ 1,f 1,p+M (ψ 2,f 2,p χ (M (χ, f 1 +f 2,q χ (M (ψ 1,f 1,q+M (ψ 2,f 2, q, (61 χ (M (χ, f 1 f 2,p χ (M (ψ 1,f 1,p M (ψ 2,f 2,p s superaddtve, that s, (p + q dμ χ (M (χ, f 1 f 2,p+q χ(m (ψ 1,f 1,p+q M (ψ 2,f 2,p+q (65 f ad oly f G(x + y E(x + F(y.Ifp attas ts mmum ad maxmum values o ts doma a, b,the(61 yelds max t p (t ( χ (M (χ, f 1 +f 2 χ (M (ψ 1,f 1 +M (ψ 2,f 2 χ (M (χ, f 1 +f 2,p χ (M (χ, f 1 f 2,p χ (M (ψ 1,f 1,p M (ψ 2,f 2,p + χ (M (χ, f 1 f 2,q χ (M (ψ 1,f 1,q M (ψ 2,f 2,q, (66

8 8 Iteratoal Joural of Aalyss ad creasg; that s, f p q such that >,the f 1 f 2, q f 1 f 2, pfω 1, qfω 1, pf 2,adqf 2 are -tegrable ad >0, >0.Thethefuctoal χ (M (χ, f 1 f 2,p χ (M (ψ 1,f 1,p M (ψ 2,f 2,p χ (M (χ, f 1 f 2,q χ (M (ψ 1,f 1,q M (ψ 2,f 2, q, (67 f ad oly f C(x y A(x + B(y.Ifp attas ts mmum ad maxmum values o ts doma a, b,the(67 yelds max t p (t ( χ (M (χ, f 1 f 2 χ (M (ψ 1,f 1 M (ψ 2,f 2 χ (M (χ, f 1 f 2,p χ (M (ψ 1,f 1,p M (ψ 2,f 2,p m t p (t ( χ (M (χ, f 1 f 2 χ (M (ψ 1,f 1 M (ψ 2,f 2. (68 If ψ 1,ψ 2,χ,A,B,adC are all postve, the the equaltes (66, (67, ad(68 are reversed f ad oly f C(x y A(x + B(y. Proof. Let =2Theorem 16.Bysettgφ(x, y = x y,we have H(s 1,s 2 =χ(ψ 1 1 (s 1 ψ 1 2 (s 2. (69 If ψ 1, ψ 2,adχ arepostveada, B, adc are egatve, the H s covex f ad oly f C(x y A(x + B(y.Ifψ 1, ψ 2, χ, A, B, adc are all postve, the H s cocave f ad oly f C(x y A(x+B(y (see 18. Now, all clams follow mmedately from Theorem 16. Corollary 24. Let, ω, R be such that (a <0<ω,,orω, <0<; (b <ω, <0,or <0<ω<,orω<0< <,for 1/ + 1/; (c <ω<0<,or< <0<ω,for1/ + 1/. Suppose f 1,f 2 : a, b R are -tegrable ad p, q : a, b R are oegatve ad -tegrable such that p p f 1 f 2 dμ ( pfω 1 dμ s superaddtve, that s, (p + q f 1 f 2 dμ ( pf 2 dμ 1/ (70 (p + q dμ ( (p + q fω 1 dμ (p + q dμ p f 1 f 2 dμ ( pfω 1 dμ + q f 1 f 2 dμ ( (p + q f 2 dμ 1/ (p + q dμ ( pf 2 dμ 1/ ( qfω 1 dμ ( qf 2 dμ 1/, (71 ad creasg; that s, f p q such that >,the p f 1 f 2 dμ ( pfω 1 dμ ( pf 2 dμ 1/

9 Iteratoal Joural of Aalyss 9 q f 1 f 2 dμ ( qfω 1 dμ ( qf 2 dμ 1/. (72 If p attas ts mmum ad maxmum values o ts doma, the max p (t f 1 t f 2 dμ (( fω 1 dμ p f 1 f 2 dμ ( f 2 dμ 1/ ( pfω 1 dμ ( pf 2 dμ 1/ m p (t f 1 t f 2 dμ (( fω 1 dμ ( f 2 dμ 1/. (73 Moreover, the equaltes (71, (72, ad(73 are reversed provded that (a ω, >>0,for1/ + 1/; (b ω, <<0,for1/ + 1/. Proof. Let =2 Theorem 16. By settg φ(x, y = x y, χ(t = t, ψ 1 (t = t ω,adψ 2 (t = t,wehave H(s 1,s 2 =χ(ψ 1 1 (s 1 ψ 1 2 (s 2 = (s 1 s 1/ 2. (74 Now, H s covex f ad oly f d 2 H 0, whch mples ω ( ω 1 0, ( 1 0, 3 ω ( 1 1 ω 1 0, (75 ad these are satsfed f, ω,ad satsfy codtos (a, (b, ad (c. H s cocave f ad oly f d 2 H 0, ad ths mples ω ( ω 1 0, ( 1 0, 3 ω ( 1 1 ω 1 0. (76 These are satsfed f, ω, ad satsfy codtos (a ad (b. Now, all clams follow mmedately from Theorem 16. Corollary 25. Let, ω, R be such that, ω, > 0,, ω, =1ad (a <1<ω,,orω, <1<; (b <ω, <1,or <1<ω<,orω<1< <,for 1/ log 1/log ω+1/log ; (c <ω<1<, or< <1<ω,for1/ log 1/ log ω+1/log. Suppose f 1,f 2 : a, b R are -tegrable ad p, q : a, b R are oegatve ad -tegrable such that p f 1+f 2, q f 1+f 2, pω f 1, qω f 1, p f 2,adq f 2 are -tegrable ad >0, >0.Thethefuctoal p f 1+f 2 dμ log ω ( p ωf 1 dμ / +log ( p f 2 dμ / s superaddtve, that s, (p + q f 1+f 2 dμ (p + q dμ ( log ω ( (p+q ωf 1 dμ / (p+ p f 1+f 2 dμ (77 log ( (p+q f 2 dμ / (p+ log ω ( p ωf 1 dμ / +log ( p f 2 dμ / + q f 1+f 2 dμ log ω ( q ωf 1 dμ / +log ( q f 2 dμ /, (78

10 10 Iteratoal Joural of Aalyss ad creasg; that s, f p q such that >,the f 2, q(f 1 +f 2, pf ω 1, qfω 1, pf 2,adqf 2 are -tegrable ad >0, >0.Thethefuctoal p f 1+f 2 dμ log ω ( p ωf 1 dμ / +log ( p f 2 dμ / q f 1+f 2 dμ log ω ( q ωf 1 dμ / +log ( q f 2 dμ /. (79 If p attas ts mmum ad maxmum values o ts doma, the max p (t f 1+f 2 dμ ( t log ω ( ωf 1 dμ /(+log ( f 2 dμ /( p f 1+f 2 dμ log ω ( p ωf 1 dμ / +log ( p f 2 dμ / m p (t f 1+f 2 dμ ( t log ω ( ωf 1 dμ /(+log ( f 2 dμ /(. (80 Moreover, the equaltes (78, (79, ad(80 are reversed provded that (a ω, >>1,for1/ log 1/log ω+1/log ; (b ω, <<0,for1/ log 1/log ω+1/log. Proof. Let =2 Theorem 16. By settg φ(x, y = x + y, χ(t = t, ψ 1 (t = ω t,adψ 2 (t = t,wehave 1/ log ω 1/ log H(s 1,s 2 =(s1 s2 log. (81 Now, the proof s smlar to the proof of Corollary 24. Corollary 26. Let, ω, R be such that (a 0<ω, <1,forallf 1,f 2 >0; (b 0< ω<1,forf 2 (((ω (1 /(( (1 ωf 1 0; (c 0<ω <1,for((( ω(1 /(( (1 ωf 1 f 2 0. Suppose f 1,f 2 : a, b R are -tegrable ad p, q : a, b R are oegatve ad -tegrable such that p(f 1 + p (f 1 +f 2 dμ ( pfω 1 dμ s superaddtve, that s, (p + q (f 1 +f 2 dμ +( pf 2 dμ 1/ (82 (p + q dμ ( (p + q fω 1 dμ (p + q dμ p (f 1 +f 2 dμ ( pfω 1 dμ +( (p + q f 2 dμ 1/ (p + q dμ +( pf 2 dμ 1/ + q (f 1 +f 2 dμ ( qfω 1 dμ +( qf 2 dμ 1/, (83 ad creasg; that s, f p q such that >,the p (f 1 +f 2 dμ ( pfω 1 dμ q (f 1 +f 2 dμ ( qfω 1 dμ +( pf 2 dμ 1/ +( qf 2 dμ 1/. (84

11 Iteratoal Joural of Aalyss 11 If p attas ts mmum ad maxmum values o ts doma, the ad q cos(f, =1,2,are-tegrable ad >0, >0.Thethefuctoal max p (t (f 1 +f 2 dμ t (( pfω 1 dμ +( pf 2 dμ 1/ p (f 1 +f 2 dμ ( pfω 1 dμ m p (t (f 1 +f 2 dμ t +( pf 2 dμ 1/ (( pfω 1 dμ +( pf 2 dμ 1/. (85 Moreover, the equaltes (83, (84, ad(85 are reversed provded that (a 1< ω,,forallf 1,f 2 >0; (b 1< ω,for0 f 2 (((ω ( 1/(( (ω 1f 1 ; (c 1<ω,forf 2 ((( ω( 1/(( (ω 1f 1 0. Proof. Let =2 Theorem 16. By settg φ(x, y = x + y, χ(t = t, ψ 1 (t = t ω,adψ 2 (t = t,wehave H(s 1,s 2 =(s 1 +s 1/ 2. (86 Now, the proof s smlar to the proof of Corollary 22, wth some extra cosderatos of the deftos of E, F, ad G. Corollary 27. Suppose f 1,f 2 : a, b 0, π/4 are - tegrable. Moreover, let p, q : a, b R be oegatve ad -tegrable such that p cos(f 1 +f 2, q cos(f 1 +f 2, p cos(f, cos arccos ( p cos (f 1dμ + arccos ( p cos (f 2dμ p cos (f 1 +f 2 dμ (87 s subaddtve, that s, (p + q dμ cos arccos ( (p + q cos (f 1dμ (p + q dμ + arccos( (p + q cos (f 2dμ (p + q dμ (p + q cos (f 1 +f 2 dμ cos arccos ( p cos (f 1dμ p cos (f 1 +f 2 dμ + + arccos( p cos (f 2dμ cos arccos ( q cos (f 1dμ q cos (f 1 +f 2 dμ, + arccos( q cos (f 2dμ (88 ad decreasg; that s, f p q such that >,the cos arccos ( p cos (f 1dμ

12 12 Iteratoal Joural of Aalyss + arccos ( p cos (f 2dμ p cos (f 1 +f 2 dμ cos arccos ( q cos (f 1dμ q cos (f 1 +f 2 dμ. + arccos ( q cos (f 2dμ (89 If p attas ts mmum ad maxmum values o ts doma, the max p (t ( cos arccos ( cos (f 1dμ t cos (f 1 +f 2 dμ + arccos ( cos (f 2dμ cos arccos ( p cos (f 1dμ p cos (f 1 +f 2 dμ + arccos ( p cos (f 2dμ m p (t ( cos arccos ( cos (f 1dμ t cos (f 1 +f 2 dμ. + arccos( cos (f 2dμ (90 Proof. Let =2 Theorem 16. By settg φ(x, y = x + y ad χ(t = ψ 1 (t = ψ 2 (t = cos(t,wehave H (s 1,s 2 = cos (arccos ( s 1 + arccos ( s 2. (91 Now, the proof s smlar to the proof of Corollary Applcatos to Hölder s Iequalty Suppose f, = 1,2,...,,areoegatve-tegrable fuctos o a, b such that =1 fα s -tegrable, where α 0, = 1,...,,aresuchthat =1 α =1.The,byusg Theorem 3 (Hölder s equalty o tme scales, we have f α =1 dμ =1 ( If =1 α =A >0,the(92mples or ( f α /A =1 f α /A =1 dμ dμ A =1 ( =1 ( f dμ α. (92 f dμ α /A (93 f dμ α. (94 I ths secto, we dscuss propertes of the fuctoal, deduced from the Hölder equalty (93,defed the followg way. Defto 28. Suppose f = (f 1,...,f s such that f, = 1,...,,are oegatve -tegrable fuctos o a, b.let α =(α 1,...,α be such that α 0ad =1 α =A >0. The oe defes the fuctoal H by H (f, α = =1 ( f dμ α ( =1 fα /A dμ A. (95 Theorem 29. Let α =(α 1,...,α ad β =(β 1,...,β be real -tuples wth α 0, β 0 ad =1 α = A > 0, =1 β =B >0.Supposef, = 1,...,,areoegatve -tegrable o a, b such that =1 fα /A ad =1 fβ /B are -tegrable. The H (f, α + β H (f, α H (f, β, (96 ad H (f,,μ s creasg; that s, f α β such that A > B,the Proof. By Defto 28,wehave H (f, α + β = H (f, α H (f, β. (97 =1 ( f dμ α +β ( =1 f(α +β /(A +B dμ A +B, (98

13 Iteratoal Joural of Aalyss 13 where ( f (α +β /(A +B =1 = ( dμ ( A +B A /(A +B f α /A =1 ( f α /A =1 B /(A +B f β /B =1 dμ A ( dμ A +B f β /B =1 Now, by combg (98ad(99, we have H (f, α + β dμ B. =1 ( f dμ α =1 ( f dμ β ( =1 fα /A dμ A ( =1 fβ /B dμ B = H (f, α H (f, β. If α β,theα β 0, ad therefore H (f, α = H (f,(α β+β Ths completes the proof. H (f, α β H (f, β H (f, β. (99 (100 (101 Corollary 30. Let f ad α satsfy the hypothess of Theorem 29.The =1 f dμ ( =1 f1/ dμ max 1 {α } H (f, α =1 f dμ ( =1 f1/ dμ Proof. Let α max =(max 1 {α },...,max 1 {α }, α m =(m 1 {α },...,m 1 {α }. m 1 {α }. (102 (103 By Defto 28,wehave H (f, α max = =1 f dμ ( =1 f1/ dμ H (f, α m = =1 f dμ ( =1 f1/ dμ max 1 {α } m 1 {α },. (104 Sce α max α α m, the result follows from the secod property of Theorem 29. Corollary 31. Let f, α, ad β satsfy the hypothess of Theorem 29 wth A =B =1. If there exst costats M> 1>msuch that Mβ α mβ,the H (f,mβ H (f, α H (f,mβ. (105 Proof. By Defto 28,wehave H (f,mβ =MH (f, β, H (f,mβ =mh (f, β. (106 Now the result follows from the secod property of Theorem 29. Remark 32. Some results for sotoc lear fuctoals relatedtotheresultsgvethspapercabefoud16. Coflct of Iterests The authors declare that there s o coflct of terests regardg the publcato of ths paper. Refereces 1 R. Agarwal, M. Boher, ad A. Peterso, Iequaltes o tme scales: a survey, Mathematcal Iequaltes ad Applcatos,vol. 4, o. 4, pp , M.R.SdAmm,R.A.C.Ferrera,adD.F.M.Torres, Damod-α Jese s equalty o tme scales, Joural of Iequaltes ad Applcatos, vol.2008,artcleid576876,13 pages, M.Awar,R.Bb,M.Boher,ad J.Pečarć, Itegral equaltes o tme scales va the theory of sotoc lear fuctoals, Abstract ad Appled Aalyss, vol.2011,artcleid483595,16 pages, M. Awar, R. Bb, M. Boher, ad J. Pecarc, Jese s fuctoals o tme scales, Joural of Fucto Spaces ad Applcatos, vol.2012,artcleid384045,17pages, J. Barć, M. Matć, ad J. Pečarć, O the bouds for the ormalzed jese fuctoal ad jese-steffese equalty, Mathematcal Iequaltes ad Applcatos, vol.12,o.2,pp , C. Du, Hermte-Hadamard equalty o tme scales, Joural of Iequaltes ad Applcatos,vol.2008,ArtcleID287947, 24 pages, U. M. Özka, M. Z. Sarkaya, ad H. Yldrm, Extesos of certa tegral equaltes o tme scales, Appled Mathematcs Letters,vol.21,o.10,pp ,2008.

14 14 Iteratoal Joural of Aalyss 8 F. H. Wog, C. C. Yeh, ad W. C. La, A exteso of Jese s equalty o tme scales, Advaces Dyamcal Systems ad Applcatos,vol.1,o.1,pp , M. Boher ad A. Peterso, Dyamc Equatos o Tme Scales: A Itroducto wth Applcatos, Brkhäuser, Bosto, Mass, USA, M. Boher ad A. Peterso, Advaces Dyamc Equatos o Tme Scales: A Itroducto Wth Applcatos, Brkhäuser, Bosto, Mass, USA, M. Boher ad G. S. Guseov, Multple tegrato o tme scales, Dyamc Systems ad Applcatos, vol.14,o.3-4,pp , M. Boher ad G. S. Guseov, Multple Lebesgue tegrato o tme scales, Advaces Dfferece Equatos, vol. 2006, ArtcleID26391,12pages, J.E.Pečarć, F. Proscha, ad Y. L. Tog, Covex Fuctos, PartalOrdergs,adStatstcalApplcatos,vol.187ofMathematcs Scece ad Egeerg, Academc Press, Bosto, Mass, USA, S. S. Dragomr, J. Peĉarć, ad L. E. Persso, Propertes of some fuctoals related to Jese s equalty, Acta Mathematca Hugarca,vol.70,o.1-2,pp , S. S. Dragomr, Bouds for the ormalsed jese fuctoal, Bullet of the Australa Mathematcal Socety,vol.74,o.3,pp , M. Krć, N. Lovrčevć, ad J. Pečarć, O the propertes of Mcshae s fuctoal ad ther applcatos, Perodca Mathematca Hugarca,vol.66,o.2,pp , D. S. Mtrovć, J. E. Pečarć, ada. M. Fk, Classcal ad New Iequaltes Aalyss, Kluwer Academc, Lodo, UK, E. Beck, Über Uglechuge vo der Form f(m φ (x; α,m φ (y; α M (χ, f, (x, y ; α, Publkacje Elektrotehčkog fakulteta. Serja: Matematk, o , 14 pages, 1970.

15 Advaces Operatos Research Hdaw Publshg Corporato Advaces Decso Sceces Hdaw Publshg Corporato Joural of Appled Mathematcs Algebra Hdaw Publshg Corporato Hdaw Publshg Corporato Joural of Probablty ad Statstcs The Scetfc World Joural Hdaw Publshg Corporato Hdaw Publshg Corporato Iteratoal Joural of Dfferetal Equatos Hdaw Publshg Corporato Submt your mauscrpts at Iteratoal Joural of Advaces Combatorcs Hdaw Publshg Corporato Mathematcal Physcs Hdaw Publshg Corporato Joural of Complex Aalyss Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Mathematcal Problems Egeerg Joural of Mathematcs Hdaw Publshg Corporato Hdaw Publshg Corporato Hdaw Publshg Corporato Dscrete Mathematcs Joural of Hdaw Publshg Corporato Dscrete Dyamcs Nature ad Socety Joural of Fucto Spaces Hdaw Publshg Corporato Abstract ad Appled Aalyss Hdaw Publshg Corporato Hdaw Publshg Corporato Iteratoal Joural of Joural of Stochastc Aalyss Optmzato Hdaw Publshg Corporato Hdaw Publshg Corporato

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte

More information

Research Article Gauss-Lobatto Formulae and Extremal Problems

Research Article Gauss-Lobatto Formulae and Extremal Problems Hdaw Publshg Corporato Joural of Iequaltes ad Applcatos Volume 2008 Artcle ID 624989 0 pages do:055/2008/624989 Research Artcle Gauss-Lobatto Formulae ad Extremal Problems wth Polyomals Aa Mara Acu ad

More information

Research Article Multidimensional Hilbert-Type Inequalities with a Homogeneous Kernel

Research Article Multidimensional Hilbert-Type Inequalities with a Homogeneous Kernel Hdaw Publshg Corporato Joural of Iequaltes ad Applcatos Volume 29, Artcle ID 3958, 2 pages do:.55/29/3958 Research Artcle Multdmesoal Hlbert-Type Iequaltes wth a Homogeeous Kerel Predrag Vuovć Faculty

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

Research Article Some Strong Limit Theorems for Weighted Product Sums of ρ-mixing Sequences of Random Variables

Research Article Some Strong Limit Theorems for Weighted Product Sums of ρ-mixing Sequences of Random Variables Hdaw Publshg Corporato Joural of Iequaltes ad Applcatos Volume 2009, Artcle ID 174768, 10 pages do:10.1155/2009/174768 Research Artcle Some Strog Lmt Theorems for Weghted Product Sums of ρ-mxg Sequeces

More information

Generalized Convex Functions on Fractal Sets and Two Related Inequalities

Generalized Convex Functions on Fractal Sets and Two Related Inequalities Geeralzed Covex Fuctos o Fractal Sets ad Two Related Iequaltes Huxa Mo, X Su ad Dogya Yu 3,,3School of Scece, Bejg Uversty of Posts ad Telecommucatos, Bejg,00876, Cha, Correspodece should be addressed

More information

Journal Of Inequalities And Applications, 2008, v. 2008, p

Journal Of Inequalities And Applications, 2008, v. 2008, p Ttle O verse Hlbert-tye equaltes Authors Chagja, Z; Cheug, WS Ctato Joural Of Iequaltes Ad Alcatos, 2008, v. 2008,. 693248 Issued Date 2008 URL htt://hdl.hadle.et/0722/56208 Rghts Ths work s lcesed uder

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

Research Article On the Number of Spanning Trees of Graphs

Research Article On the Number of Spanning Trees of Graphs e Scetfc World Joural, Artcle ID 294038, 5 pages http://dxdoorg/055/204/294038 Research Artcle O the Number of Spag Trees of Graphs F Burcu Bozkurt ad DurmuG Bozkurt Departmet of Mathematcs, Scece Faculty,

More information

The Arithmetic-Geometric mean inequality in an external formula. Yuki Seo. October 23, 2012

The 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 information

Journal of Mathematical Analysis and Applications

Journal of Mathematical Analysis and Applications J. Math. Aal. Appl. 365 200) 358 362 Cotets lsts avalable at SceceDrect Joural of Mathematcal Aalyss ad Applcatos www.elsever.com/locate/maa Asymptotc behavor of termedate pots the dfferetal mea value

More information

ONE GENERALIZED INEQUALITY FOR CONVEX FUNCTIONS ON THE TRIANGLE

ONE GENERALIZED INEQUALITY FOR CONVEX FUNCTIONS ON THE TRIANGLE Joural of Pure ad Appled Mathematcs: Advaces ad Applcatos Volume 4 Number 205 Pages 77-87 Avalable at http://scetfcadvaces.co. DOI: http://.do.org/0.8642/jpamaa_7002534 ONE GENERALIZED INEQUALITY FOR CONVEX

More information

Q-analogue of a Linear Transformation Preserving Log-concavity

Q-analogue of a Linear Transformation Preserving Log-concavity Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com

More information

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl

More information

ON WEIGHTED INTEGRAL AND DISCRETE OPIAL TYPE INEQUALITIES

ON WEIGHTED INTEGRAL AND DISCRETE OPIAL TYPE INEQUALITIES M atheatcal I equaltes & A pplcatos Volue 19, Nuber 4 16, 195 137 do:1.7153/a-19-95 ON WEIGHTED INTEGRAL AND DISCRETE OPIAL TYPE INEQUALITIES MAJA ANDRIĆ, JOSIP PEČARIĆ AND IVAN PERIĆ Coucated by C. P.

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

About k-perfect numbers

About k-perfect numbers DOI: 0.47/auom-04-0005 A. Şt. Uv. Ovdus Costaţa Vol.,04, 45 50 About k-perfect umbers Mhály Becze Abstract ABSTRACT. I ths paper we preset some results about k-perfect umbers, ad geeralze two equaltes

More information

International Journal of Mathematical Archive-5(8), 2014, Available online through ISSN

International Journal of Mathematical Archive-5(8), 2014, Available online through   ISSN Iteratoal Joural of Mathematcal Archve-5(8) 204 25-29 Avalable ole through www.jma.fo ISSN 2229 5046 COMMON FIXED POINT OF GENERALIZED CONTRACTION MAPPING IN FUZZY METRIC SPACES Hamd Mottagh Golsha* ad

More information

Asymptotic Formulas Composite Numbers II

Asymptotic Formulas Composite Numbers II Iteratoal Matematcal Forum, Vol. 8, 203, o. 34, 65-662 HIKARI Ltd, www.m-kar.com ttp://d.do.org/0.2988/mf.203.3854 Asymptotc Formulas Composte Numbers II Rafael Jakmczuk Dvsó Matemátca, Uversdad Nacoal

More information

Research Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix

Research Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix Mathematcal Problems Egeerg Volume 05 Artcle ID 94757 7 pages http://ddoorg/055/05/94757 Research Artcle A New Dervato ad Recursve Algorthm Based o Wroska Matr for Vadermode Iverse Matr Qu Zhou Xja Zhag

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Non-uniform Turán-type problems

Non-uniform Turán-type problems Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at

More information

THE PROBABILISTIC STABILITY FOR THE GAMMA FUNCTIONAL EQUATION

THE PROBABILISTIC STABILITY FOR THE GAMMA FUNCTIONAL EQUATION Joural of Scece ad Arts Year 12, No. 3(2), pp. 297-32, 212 ORIGINAL AER THE ROBABILISTIC STABILITY FOR THE GAMMA FUNCTIONAL EQUATION DOREL MIHET 1, CLAUDIA ZAHARIA 1 Mauscrpt receved: 3.6.212; Accepted

More information

ON THE LOGARITHMIC INTEGRAL

ON THE LOGARITHMIC INTEGRAL Hacettepe Joural of Mathematcs ad Statstcs Volume 39(3) (21), 393 41 ON THE LOGARITHMIC INTEGRAL Bra Fsher ad Bljaa Jolevska-Tueska Receved 29:9 :29 : Accepted 2 :3 :21 Abstract The logarthmc tegral l(x)

More information

Research Article On the Rate of Convergence by Generalized Baskakov Operators

Research Article On the Rate of Convergence by Generalized Baskakov Operators Advaces Mathematcal Physcs Volume 25, Artcle ID 564854, 6 pages http://dx.do.org/.55/25/564854 Research Artcle O the Rate of Covergece by Geeralzed Basaov Operators Y Gao, Weshua Wag, 2 ad Shgag Yue 3

More information

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout

More information

Arithmetic Mean and Geometric Mean

Arithmetic Mean and Geometric Mean Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,

More information

MAX-MIN AND MIN-MAX VALUES OF VARIOUS MEASURES OF FUZZY DIVERGENCE

MAX-MIN AND MIN-MAX VALUES OF VARIOUS MEASURES OF FUZZY DIVERGENCE merca Jr of Mathematcs ad Sceces Vol, No,(Jauary 0) Copyrght Md Reader Publcatos wwwjouralshubcom MX-MIN ND MIN-MX VLUES OF VRIOUS MESURES OF FUZZY DIVERGENCE RKTul Departmet of Mathematcs SSM College

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

Extend the Borel-Cantelli Lemma to Sequences of. Non-Independent Random Variables

Extend the Borel-Cantelli Lemma to Sequences of. Non-Independent Random Variables ppled Mathematcal Sceces, Vol 4, 00, o 3, 637-64 xted the Borel-Catell Lemma to Sequeces of No-Idepedet Radom Varables olah Der Departmet of Statstc, Scece ad Research Campus zad Uversty of Tehra-Ira der53@gmalcom

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

arxiv: v1 [math.st] 24 Oct 2016

arxiv: v1 [math.st] 24 Oct 2016 arxv:60.07554v [math.st] 24 Oct 206 Some Relatoshps ad Propertes of the Hypergeometrc Dstrbuto Peter H. Pesku, Departmet of Mathematcs ad Statstcs York Uversty, Toroto, Otaro M3J P3, Caada E-mal: pesku@pascal.math.yorku.ca

More information

Large and Moderate Deviation Principles for Kernel Distribution Estimator

Large and Moderate Deviation Principles for Kernel Distribution Estimator Iteratoal Mathematcal Forum, Vol. 9, 2014, o. 18, 871-890 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/mf.2014.4488 Large ad Moderate Devato Prcples for Kerel Dstrbuto Estmator Yousr Slaou Uversté

More information

3. Basic Concepts: Consequences and Properties

3. Basic Concepts: Consequences and Properties : 3. Basc Cocepts: Cosequeces ad Propertes Markku Jutt Overvew More advaced cosequeces ad propertes of the basc cocepts troduced the prevous lecture are derved. Source The materal s maly based o Sectos.6.8

More information

A NEW LOG-NORMAL DISTRIBUTION

A NEW LOG-NORMAL DISTRIBUTION Joural of Statstcs: Advaces Theory ad Applcatos Volume 6, Number, 06, Pages 93-04 Avalable at http://scetfcadvaces.co. DOI: http://dx.do.org/0.864/jsata_700705 A NEW LOG-NORMAL DISTRIBUTION Departmet of

More information

On Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros

On Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros It. Joural of Math. Aalyss, Vol. 7, 2013, o. 20, 983-988 HIKARI Ltd, www.m-hkar.com O Modfed Iterval Symmetrc Sgle-Step Procedure ISS2-5D for the Smultaeous Icluso of Polyomal Zeros 1 Nora Jamalud, 1 Masor

More information

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal

More information

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,

More information

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple

More information

On the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros

On the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros It. Joural of Math. Aalyss, Vol. 7, 2013, o. 59, 2947-2951 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ma.2013.310259 O the Iterval Zoro Symmetrc Sgle Step Procedure IZSS1-5D for the Smultaeous

More information

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties 進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem

More information

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1) Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org

More information

A new Family of Distributions Using the pdf of the. rth Order Statistic from Independent Non- Identically Distributed Random Variables

A new Family of Distributions Using the pdf of the. rth Order Statistic from Independent Non- Identically Distributed Random Variables Iteratoal Joural of Cotemporary Mathematcal Sceces Vol. 07 o. 8 9-05 HIKARI Ltd www.m-hkar.com https://do.org/0.988/jcms.07.799 A ew Famly of Dstrbutos Usg the pdf of the rth Order Statstc from Idepedet

More information

Aitken delta-squared generalized Juncgk-type iterative procedure

Aitken delta-squared generalized Juncgk-type iterative procedure Atke delta-squared geeralzed Jucgk-type teratve procedure M. De la Se Isttute of Research ad Developmet of Processes. Uversty of Basque Coutry Campus of Leoa (Bzkaa) PO Box. 644- Blbao, 488- Blbao. SPAIN

More information

Application of Generating Functions to the Theory of Success Runs

Application of Generating Functions to the Theory of Success Runs Aled Mathematcal Sceces, Vol. 10, 2016, o. 50, 2491-2495 HIKARI Ltd, www.m-hkar.com htt://dx.do.org/10.12988/ams.2016.66197 Alcato of Geeratg Fuctos to the Theory of Success Rus B.M. Bekker, O.A. Ivaov

More information

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS

INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS Joural of Mathematcal Scece: Advace ad Alcato Volume 24, 23, Page 29-46 INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS ZLATKO PAVIĆ Mechacal Egeerg Faculty Slavok Brod Uverty of Ojek

More information

Research Article On Approximate Solutions for Fractional Logistic Differential Equation

Research Article On Approximate Solutions for Fractional Logistic Differential Equation Hdaw Publshg Corporato Mathematcal Problems Egeerg Volume 2013, Artcle ID 391901, 7 pages http://dx.do.org/10.11/2013/391901 Research Artcle O Approxmate Solutos for Fractoal Logstc Dfferetal Equato M.

More information

Chapter 14 Logistic Regression Models

Chapter 14 Logistic Regression Models Chapter 4 Logstc Regresso Models I the lear regresso model X β + ε, there are two types of varables explaatory varables X, X,, X k ad study varable y These varables ca be measured o a cotuous scale as

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

INTEGRATION THEORY AND FUNCTIONAL ANALYSIS MM-501

INTEGRATION THEORY AND FUNCTIONAL ANALYSIS MM-501 INTEGRATION THEORY AND FUNCTIONAL ANALYSIS M.A./M.Sc. Mathematcs (Fal) MM-50 Drectorate of Dstace Educato Maharsh Dayaad Uversty ROHTAK 4 00 Copyrght 004, Maharsh Dayaad Uversty, ROHTAK All Rghts Reserved.

More information

A New Method for Decision Making Based on Soft Matrix Theory

A New Method for Decision Making Based on Soft Matrix Theory Joural of Scetfc esearch & eports 3(5): 0-7, 04; rtcle o. JS.04.5.00 SCIENCEDOMIN teratoal www.scecedoma.org New Method for Decso Mag Based o Soft Matrx Theory Zhmg Zhag * College of Mathematcs ad Computer

More information

Generalized One-Step Third Derivative Implicit Hybrid Block Method for the Direct Solution of Second Order Ordinary Differential Equation

Generalized One-Step Third Derivative Implicit Hybrid Block Method for the Direct Solution of Second Order Ordinary Differential Equation Appled Mathematcal Sceces, Vol. 1, 16, o. 9, 417-4 HIKARI Ltd, www.m-hkar.com http://dx.do.org/1.1988/ams.16.51667 Geeralzed Oe-Step Thrd Dervatve Implct Hybrd Block Method for the Drect Soluto of Secod

More information

Lebesgue Measure of Generalized Cantor Set

Lebesgue Measure of Generalized Cantor Set Aals of Pure ad Appled Mathematcs Vol., No.,, -8 ISSN: -8X P), -888ole) Publshed o 8 May www.researchmathsc.org Aals of Lebesgue Measure of Geeralzed ator Set Md. Jahurul Islam ad Md. Shahdul Islam Departmet

More information

The k-nacci triangle and applications

The k-nacci triangle and applications Kuhapataakul & Aataktpasal, Coget Mathematcs 7, : 9 https://doorg/8/879 PURE MATHEMATICS RESEARCH ARTICLE The k-acc tragle ad applcatos Katapho Kuhapataakul * ad Porpawee Aataktpasal Receved: March 7 Accepted:

More information

Lecture 4 Sep 9, 2015

Lecture 4 Sep 9, 2015 CS 388R: Radomzed Algorthms Fall 205 Prof. Erc Prce Lecture 4 Sep 9, 205 Scrbe: Xagru Huag & Chad Voegele Overvew I prevous lectures, we troduced some basc probablty, the Cheroff boud, the coupo collector

More information

On quaternions with generalized Fibonacci and Lucas number components

On quaternions with generalized Fibonacci and Lucas number components Polatl Kesm Advaces Dfferece Equatos (205) 205:69 DOI 0.86/s3662-05-05-x R E S E A R C H Ope Access O quateros wth geeralzed Fboacc Lucas umber compoets Emrah Polatl * Seyhu Kesm * Correspodece: emrah.polatl@beu.edu.tr

More information

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming Aerca Joural of Operatos Research, 4, 4, 33-339 Publshed Ole Noveber 4 ScRes http://wwwscrporg/oural/aor http://ddoorg/436/aor4463 A Pealty Fucto Algorth wth Obectve Paraeters ad Costrat Pealty Paraeter

More information

Research Article Some Characterizations of the Cobb-Douglas and CES Production Functions in Microeconomics

Research Article Some Characterizations of the Cobb-Douglas and CES Production Functions in Microeconomics Hdaw Publshg Corporato Abstract ad Appled Aalyss Volume 2013, Artcle ID 761832, 6 pages http://dx.do.org/10.1155/2013/761832 Research Artcle Some Characterzatos of the Cobb-Douglas ad CES Producto Fuctos

More information

Chapter 4 Multiple Random Variables

Chapter 4 Multiple Random Variables Revew for the prevous lecture: Theorems ad Examples: How to obta the pmf (pdf) of U = g (, Y) ad V = g (, Y) Chapter 4 Multple Radom Varables Chapter 44 Herarchcal Models ad Mxture Dstrbutos Examples:

More information

Point Estimation: definition of estimators

Point Estimation: definition of estimators Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.

More information

Complete Convergence for Weighted Sums of Arrays of Rowwise Asymptotically Almost Negative Associated Random Variables

Complete Convergence for Weighted Sums of Arrays of Rowwise Asymptotically Almost Negative Associated Random Variables A^VÇÚO 1 32 ò 1 5 Ï 2016 c 10 Chese Joural of Appled Probablty ad Statstcs Oct., 2016, Vol. 32, No. 5, pp. 489-498 do: 10.3969/j.ss.1001-4268.2016.05.005 Complete Covergece for Weghted Sums of Arrays of

More information

Strong Laws of Large Numbers for Fuzzy Set-Valued Random Variables in Gα Space

Strong Laws of Large Numbers for Fuzzy Set-Valued Random Variables in Gα Space Advaces Pure Matheatcs 26 6 583-592 Publshed Ole August 26 ScRes http://wwwscrporg/oural/ap http://dxdoorg/4236/ap266947 Strog Laws of Large Nubers for uzzy Set-Valued Rado Varables G Space Lae She L Gua

More information

It is Advantageous to Make a Syllabus as Precise as Possible: Decision-Theoretic Analysis

It is Advantageous to Make a Syllabus as Precise as Possible: Decision-Theoretic Analysis Joural of Iovatve Techology ad Educato, Vol. 4, 2017, o. 1, 1-5 HIKARI Ltd, www.m-hkar.com https://do.org/10.12988/jte.2017.61146 It s Advatageous to Make a Syllabus as Precse as Possble: Decso-Theoretc

More information

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

arxiv:math/ v1 [math.gm] 8 Dec 2005

arxiv:math/ v1 [math.gm] 8 Dec 2005 arxv:math/05272v [math.gm] 8 Dec 2005 A GENERALIZATION OF AN INEQUALITY FROM IMO 2005 NIKOLAI NIKOLOV The preset paper was spred by the thrd problem from the IMO 2005. A specal award was gve to Yure Boreko

More information

On Monotone Eigenvectors of a Max-T Fuzzy Matrix

On Monotone Eigenvectors of a Max-T Fuzzy Matrix Joural of Appled Mathematcs ad hyscs, 08, 6, 076-085 http://wwwscrporg/joural/jamp ISSN Ole: 37-4379 ISSN rt: 37-435 O Mootoe Egevectors of a Max-T Fuzzy Matrx Qg Wag, Na Q, Zxua Yag, Lfe Su, Lagju eg,

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto

More information

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE

More information

Hypersurfaces with Constant Scalar Curvature in a Hyperbolic Space Form

Hypersurfaces with Constant Scalar Curvature in a Hyperbolic Space Form Hypersurfaces wth Costat Scalar Curvature a Hyperbolc Space Form Lu Xm ad Su Wehog Abstract Let M be a complete hypersurface wth costat ormalzed scalar curvature R a hyperbolc space form H +1. We prove

More information

Multi Objective Fuzzy Inventory Model with. Demand Dependent Unit Cost and Lead Time. Constraints A Karush Kuhn Tucker Conditions.

Multi Objective Fuzzy Inventory Model with. Demand Dependent Unit Cost and Lead Time. Constraints A Karush Kuhn Tucker Conditions. It. Joural of Math. Aalyss, Vol. 8, 204, o. 4, 87-93 HIKARI Ltd, www.m-hkar.com http://dx.do.org/0.2988/jma.204.30252 Mult Objectve Fuzzy Ivetory Model wth Demad Depedet Ut Cost ad Lead Tme Costrats A

More information

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 6 2006, #A12 LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX Hacèe Belbachr 1 USTHB, Departmet of Mathematcs, POBox 32 El Ala, 16111,

More information

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections

ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections ENGI 441 Jot Probablty Dstrbutos Page 7-01 Jot Probablty Dstrbutos [Navd sectos.5 ad.6; Devore sectos 5.1-5.] The jot probablty mass fucto of two dscrete radom quattes, s, P ad p x y x y The margal probablty

More information

Analysis of a Repairable (n-1)-out-of-n: G System with Failure and Repair Times Arbitrarily Distributed

Analysis of a Repairable (n-1)-out-of-n: G System with Failure and Repair Times Arbitrarily Distributed Amerca Joural of Mathematcs ad Statstcs. ; (: -8 DOI:.593/j.ajms.. Aalyss of a Reparable (--out-of-: G System wth Falure ad Repar Tmes Arbtrarly Dstrbuted M. Gherda, M. Boushaba, Departmet of Mathematcs,

More information

On Signed Product Cordial Labeling

On Signed Product Cordial Labeling Appled Mathematcs 55-53 do:.436/am..6 Publshed Ole December (http://www.scrp.or/joural/am) O Sed Product Cordal Label Abstract Jayapal Baskar Babujee Shobaa Loaatha Departmet o Mathematcs Aa Uversty Chea

More information

Rademacher Complexity. Examples

Rademacher Complexity. Examples Algorthmc Foudatos of Learg Lecture 3 Rademacher Complexty. Examples Lecturer: Patrck Rebesch Verso: October 16th 018 3.1 Itroducto I the last lecture we troduced the oto of Rademacher complexty ad showed

More information

Marcinkiewicz strong laws for linear statistics of ρ -mixing sequences of random variables

Marcinkiewicz strong laws for linear statistics of ρ -mixing sequences of random variables Aas da Academa Braslera de Cêcas 2006 784: 65-62 Aals of the Brazla Academy of Sceces ISSN 000-3765 www.scelo.br/aabc Marckewcz strog laws for lear statstcs of ρ -mxg sequeces of radom varables GUANG-HUI

More information

Special Instructions / Useful Data

Special Instructions / Useful Data JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

Analyzing Fuzzy System Reliability Using Vague Set Theory

Analyzing Fuzzy System Reliability Using Vague Set Theory Iteratoal Joural of Appled Scece ad Egeerg 2003., : 82-88 Aalyzg Fuzzy System Relablty sg Vague Set Theory Shy-Mg Che Departmet of Computer Scece ad Iformato Egeerg, Natoal Tawa versty of Scece ad Techology,

More information

AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES

AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES Jose Javer Garca Moreta Graduate Studet of Physcs ( Sold State ) at UPV/EHU Address: P.O 6 890 Portugalete, Vzcaya (Spa) Phoe: (00) 3 685 77 16

More information

Bootstrap Method for Testing of Equality of Several Coefficients of Variation

Bootstrap Method for Testing of Equality of Several Coefficients of Variation Cloud Publcatos Iteratoal Joural of Advaced Mathematcs ad Statstcs Volume, pp. -6, Artcle ID Sc- Research Artcle Ope Access Bootstrap Method for Testg of Equalty of Several Coeffcets of Varato Dr. Navee

More information

Extreme Value Theory: An Introduction

Extreme Value Theory: An Introduction (correcto d Extreme Value Theory: A Itroducto by Laures de Haa ad Aa Ferrera Wth ths webpage the authors ted to form the readers of errors or mstakes foud the book after publcato. We also gve extesos for

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

VOL. 3, NO. 11, November 2013 ISSN ARPN Journal of Science and Technology All rights reserved.

VOL. 3, NO. 11, November 2013 ISSN ARPN Journal of Science and Technology All rights reserved. VOL., NO., November 0 ISSN 5-77 ARPN Joural of Scece ad Techology 0-0. All rghts reserved. http://www.ejouralofscece.org Usg Square-Root Iverted Gamma Dstrbuto as Pror to Draw Iferece o the Raylegh Dstrbuto

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n .. Soluto of Problem. M s obvously cotuous o ], [ ad ], [. Observe that M x,..., x ) M x,..., x ) )..) We ext show that M s odecreasg o ], [. Of course.) mles that M s odecreasg o ], [ as well. To show

More information

Estimation of the Loss and Risk Functions of Parameter of Maxwell Distribution

Estimation of the Loss and Risk Functions of Parameter of Maxwell Distribution Scece Joural of Appled Mathematcs ad Statstcs 06; 4(4): 9- http://www.scecepublshggroup.com/j/sjams do: 0.648/j.sjams.060404. ISSN: 76-949 (Prt); ISSN: 76-95 (Ole) Estmato of the Loss ad Rsk Fuctos of

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

STRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING

STRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING Joural of tatstcs: Advaces Theory ad Alcatos Volume 5, Number, 6, Pages 3- Avalable at htt://scetfcadvaces.co. DOI: htt://d.do.org/.864/jsata_7678 TRONG CONITENCY FOR IMPLE LINEAR EV MODEL WITH v/ -MIXING

More information

A New Measure of Probabilistic Entropy. and its Properties

A New Measure of Probabilistic Entropy. and its Properties Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com

More information

Bounds for the Connective Eccentric Index

Bounds for the Connective Eccentric Index It. J. Cotemp. Math. Sceces, Vol. 7, 0, o. 44, 6-66 Bouds for the Coectve Eccetrc Idex Nlaja De Departmet of Basc Scece, Humates ad Socal Scece (Mathematcs Calcutta Isttute of Egeerg ad Maagemet Kolkata,

More information