Generalized Convex Functions on Fractal Sets and Two Related Inequalities

Size: px
Start display at page:

Download "Generalized Convex Functions on Fractal Sets and Two Related Inequalities"

Transcription

1 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 to Hu-xa Mo; huxmo@bupteduc I the paper, we troduce the geeralzed covex fucto o fractal sets R (0 of real le umbers ad study the propertes of the geeralzed covex fucto Based o these propertes, we establsh the geeralzed Jese s equalty ad geeralzed Hermte- Hadamard s equalty Furthermore, some applcatos are gve Itroducto Let f : I R R For ay x, x I ad [0,], f the followg equalty f ( x( x f( x ( f( x holds, the f s called a covex fucto o I The covexty of fuctos play a sgfcat role may felds, for example bologcal system, ecoomy, optmzato ad so o [-] Ad may mportat equaltes are establshed for the class of covex fuctos For example, the Jese's equalty ad Hermte-Hadamard s equalty are the best ow results the lterature, whch ca be stated as follows Jese's equalty [3]: Assume that f s a covex fucto o [ ab, ] The for ay x [ ab, ] ad [0,] (,,, wth, we have f x f( x Hermte-Hadamard s equalty [4]: Let f be a covex fucto o [ ab, ] wth a b If f s tegral o [ ab,, ] the ab b f( a f( b f f( x dx b a a I recet years, the fractal has receved sgfcatly remarable atteto from scetsts ad egeers I the sese of Madelbrot, a fractal set s the oe whose Hausdorff dmeso strctly exceeds the topologcal dmeso [5-9] May researchers studed the propertes of fuctos o fractal space ad costructed may ds of fractoal calculus by usg dfferet approaches (see [0-4] Partcularly, [3], Yag stated the aalyss of local fractoal fuctos o fractal space systematcally, whch cludes local fractoal calculus, the mootocty of fucto ad so o Ispred by these vestgatos, we wll troduce the geeralzed covex fucto o fractal sets ad establsh the geeralzed Jese's equalty ad geeralzed Hermte- Hadamard s equalty related to geeralzed covex fucto We shall focus our atteto o the covexty sce a fucto f s cocave f ad oly f f s covex So, every result for the covex fucto ca be easly re-stated terms of cocave fuctos

2 The artcle s orgazed as follows: I Secto, we state the operatos wth real le umber o fractal sets ad gve the deftos of the local fractoal dervatves ad local fractoal tegral I Secto 3, we troduce the defto of the geeralzed covex fucto o fractal sets ad study the propertes of the geeralzed covex fuctos I Secto 4, we establsh the geeralzed Jese s equalty ad geeralzed Hermte- Hadamard s equalty o fractal sets I Secto 5, some applcatos are gve o fractal sets by meas of the geeralzed Jese s equalty Prelmares Recall the set R of real le umbers ad use the Gao-Yag-Kag s dea to descrbe the deftos of the local fractoal dervatve ad local fractoal tegral Recetly, the theory of Yag s fractoal sets [3] was troduced as follows For 0, we have the followg -type set of elemet sets: Z : The -type set of the teger are defed as the set {0,,,,, } Q : The -type set of the ratoal umbers are defed as the set { m p/ q : pz, q 0} J : The -type set of the rratoal umbers are defed as the set { m p/ q : pz, q 0} R : The -type set of the real le umbers are defed as the set R Q J If a, b ad c belog to the set R of real le umbers, the ( a b ad ab belog to the set R ; ( a b b a ( ab ( b a ; (3 a ( b c ( ab c ; (4 a b b a ( ab ( ba ; (5 a ( b c ( a b c ; (6 a ( b c a b a c ; (7 a 0 0 a a ad a a a Let us ow state some deftos about the local fractoal calculus o R Defto [3] A o-dfferetable fucto f : RR, x f( x s called to be local fractoal cotuous at x 0, f for ay 0, there exsts 0, such that f( x f( x holds for xx0, where, R If f ( x s local fractoal cotuous o the terval ( ab,, we deote f ( x C ( a, b Defto [3] The local fractoal dervatve of f ( x of order at x x0 s defed 0

3 by 3 f d f( x ( f( x f( x ( x lm, ( 0 0 x x dx xx 0 ( x x 0 0 where ( f ( x f( x0 ( ( f( x f( x0 tmes (( If there exsts f ( x Dx Dx f( x for ay x I R, the we deote f D( ( I, where 0,, Defto 3 [3] The local fractoal tegral of the fucto f ( x of order s defed by ( aib f( x b f(( t dt ( a a N lm f ( tj( tj, ( a t 0 wth tj tj tjad t max{ tj j,,, N }, where [ tj, tj ], j 0,, N t at t t t b s a partto of the terval [ ab, ] ad 0 N N Here, t follows that aia for ay x [ ab, ], there exsts ( a j 0 f( x 0 f a b ad I ( x f( x, the t s deoted by I f( x I f( x f a b If ( ( a b b a ( f ( x Ix [ a, b] Lemma [3] (Geeralzed local fractoal Taylor theorem Suppose that ( f ( x C ( I, for terval I R, 0,, 0 Ad let x0 [ ab, ] The for ay x I, there exsts at least oe pot, whch les betwee the pots x ad x, such that 0 ( (( f ( x0 f ( ( f( x ( xx0 ( xx0 0 ( a ( ( a Remar Whe I R s a ope terval ( ab,, Yag [3] has gve the proof for the geeralzed local fractoal Taylor theorem I fact, usg the geeralzed local fractoal Lagrage s theorem ad followg the proof of the class Taylor theorem, we ca show that for ay terval I R, the formula s also true 3 Geeralzed covex fuctos From a aalytcal pot of vew, we have the followg defto Defto 3 Let f : I R R For ay x, x I ad [0,], f the followg equalty f ( x ( x f( x ( f( x holds, the f s called a geeralzed covex fucto o I Defto 3 Let f : I R For ay x x I ad [0,], f the followg equalty f ( x ( x f( x ( f( x holds, the f s called a geeralzed strctly covex fucto o I R

4 It follows mmedately, from the gve deftos, that a geeralzed strctly covex fucto s also geeralzed covex But, the coverse s ot true Ad f these two equaltes s reversed, the f s called a geeralzed cocave fucto or geeralzed strctly cocave fucto, respectvely Here are two basc examples of geeralzed strctly covex fuctos: p ( f( x x, x 0, p ; ( f ( x E ( x, x R, where x E ( x ( s the Mttag-Leffer fucto 0 Note that the lear fucto f ( x a x b, x R s geeralzed covex ad also geeralzed cocave We shall focus our atteto o the covexty sce a fucto f s cocave f ad oly f f s covex So, every result for the covex fucto ca be easly re-stated terms of cocave fuctos I the followg, we wll study the propertes of the geeralzed covex fuctos Theorem 3 Let f : I R The f s a geeralzed covex fucto f ad oly f the equalty f( x f( x f ( x3 f( x ( x x ( x3 x holds, for ay x, x, x3 I wth 3 x3 x Proof I fact, tae, x3 x the x x( x3 Ad by the geeralzed covexty of f, we get x3 x x x f ( x f ( x( x3 f ( x ( f ( x3 f ( x f ( x3 x3x x3x From the above formula, t s easy to see that f( x f( x f ( x3 f( x ( x x ( x x 3 Reversely, for ay two pots x, x 3 ( x x 3 o I R, we tae x x( x3 for x3 x (0, The x x x3 ad Usg the above verse process, we have x x So, f s a covex fucto o I R 3 f ( x ( x f( x ( f( x 3 3 I the same way, t ca be show that f s a geeralzed covex fucto o I R f ad oly f f( x f( x f ( x3 f( x f( x3 f( x, ( x x ( x x ( x x 3 3 4

5 for ay x, x, x3 I wth x x x 3 Theorem 3 Let f D ( I, the the followg codtos are equvalet ( f s a geeralzed covex fucto o I, ( ( f s a creasg fucto o I, (3 for ay x, x I, ( f ( x f ( x f( x ( x x ( Proof ( Let x, x I wth x x Ad tae h 0 whch s small eough such that xhx, h I Sce x h x x x h, the usg Theorem 3 we have f ( x f( xh f( x f( x f( x h f( x ( a ( a ( a h ( x x h 5 Sce f D ( I, the let h 0, t follows that ( f( x f( x ( f ( x ( a f ( x ( x x ( So, f s creasg I ( 3 Tae x, x I Wthout loss of geeralty, we ca assume that x x Sce ( f s creasg the terval I, the applyg the geeralzed local fractoal Taylor theorem, we have ( ( f ( f ( x f( x f( x ( x x ( x x, ( a ( a where ( x, x That s to say ( f ( x f ( x f( x ( x x ( a (3 For ay x, x I, we let x 3 x ( x, where 0 It s easy to see that xx3 ( ( x x ad x x3 ( x x The from the thrd codto, we have ( ( f ( x3 f ( x3 f( x f( x3 ( xx3 f( x3 ( ( xx, ( a ( a ad ( ( f ( x3 f ( x3 f ( x f( x3 ( x x3 f( x3 ( x x ( a ( a At the above two formulas, multply ad (, respectvely, the we obta f ( x ( f( x f( x3 f( x( x So, f s a geeralzed covex fucto o I Corollary 3 Let f D ( a, b The f s a geeralzed covex fucto (or a geeralzed cocave fucto f ad oly f ( ( f ( x 0( or f ( x 0, for ay x ( ab,

6 4 Some equaltes Theorem 4 (Geeralzed Jese s equalty Assume that f s a geeralzed covex fucto o [ ab, ] The for ay x [ ab, ] ad [0,] (,,, wth, we have f x f( x Proof Whe, the equalty s obvously true Assume that for the equalty s also true The for ay x, x,, [, ] x ab ad 0,,, wth have If ( f x f( x x, x,, x, x [ a, b] ad 0 for,,, wth, we, the oe sets up,,,, It s easy to see Thus, f( xx x x xx x f ( x ( f( xx x f( x ( [ f( x f( x f( x] f( x ( f ( x f( x f( x f( x f( x So, the mathematcal ducto gves the proof of Theorem 4 x Corollary 4 Let f D [ a, b] ad [ ab, ] ad [0,] (,, wth ( f ( x 0 for ay x [ ab, ], we have The for ay f x f( x Usg the geeralzed Jese s equalty ad the covexty of fuctos, we ca also get some tegral equaltes I [3], Yag establshed the geeralzed Cauchy-Schwatz's equalty by the estmate p q a b a b, where a, b 0, pq, ad p q p q 6

7 Now, va the geeralzed Jese's equalty, we wll gve aother proof for the geeralzed Cauchy-Schwarz's equalty Corollary 4 (Geeralzed Cauchy-Schwarz's equalty Let a 0, b 0,,,, The we have a b a b Proof Tae Tae f ( x x It s easy to see that ( f ( x 0 for ay x ( ab, b b, x a The 0 (,,, wth b Thus, by Jese's equalty ( f x f( x, we have The above formula ca be reduced to whch mples that Thus we have b a b a b b b b b a a b ( b b a a b, a b a b Theorem 4 (Geeralzed Hermte-Hadmard s equalty Let geeralzed covex fucto o [ ab, ] wth a b The f x I a b be a ( ( x [, ] 7 ab ( ( f( a f( b f aib f( x ( b a

8 Proof Let x ab y The 8 ab a b ab f ( x( dx f( ab y( dy ab ab Furthermore, whe x, b, abx a, Ad by the covexty of, f we have a b f( abx f( x f Thus b a f( x( dx ab a b b ab b ab f ( x( dx f( x( dx a b[ f ( abx f( x]( dx a b f ( dx a b ( ba f (4 For aother part, we frst ote that f f s a geeralzed covex fucto, the, for t [0,], t yelds ad By addg these equaltes we have f ( ta ( t b t f ( a ( t f ( b, f (( ta tb ( t f( a t f( b f ( ta( t b f(( t atb t f( a ( t f( b ( t f( a t f( b f( a f( b The, tegratg the resultg equalty wth respect to t over [0,], we obta So, It s easy to see that ad [ f ( ta ( t b f (( t a tb]( dt ( 0 ( f( a f( b( dt ( 0 ( [ f ( ta ( t b f (( t a tb]( dt (, 0 aib f x ( ( ba f ( a f( b f a f b dt 0 ( ( ( ( ( (

9 ( ( f ( a f( b aib f( x ( b a Combg the equaltes (4 ad (4, we have ab ( ( f( a f( b f aib f( x ( b a Note that, t wll be reduced to the class Hermte- Hadmard equalty f 5 Applcatos of geeralzed Jese s equalty Usg the geeralzed Jese's equalty, we ca get some equaltes (4 3 3 Example 5 Let a 0, b 0 ad a b The a b 3 Proof Let f ( x x, x (0, It s easy to see that f s a geeralzed covex fucto So, ab f( a f( b f That s ( ab a b 8 Thus, we coclude that ab Example 5 Let x, y R The x y E ( E ( x E ( y, Where E ( x 0 x s the Mttag-Leffer fucto ( Proof Tae f ( x E ( x ( It s easy to see ( E ( x E ( x 0 So, the geeralzed Jese's equalty gves x y E ( E ( x E ( y Example 53 (Power Mea Iequalty Let a, a, a 0 ad 0 s t or st 0 Deote r r r r a a a Sr, rr, The Ss St Ad Ss St f ad oly f a a a Proof Case I: 0 s t Tae ( ts f( x x, x 0 The 9

10 0 ( f ( x x 0 t ( s ( ts t ( ( s By the geeralzed Jese s equalty, we have That s s s s s s s a a a f( a f( a f( a f s s s ( ts s ( t s s ( t s s ( t s ( ( ( a a a a a a From the above formula, t s easy to see So, we have S S Case II: st 0 s s s s s t t t t a a a a a a t Let b a ad apply the case for 0 t s, we ca get the cocluso Example 54 If abc,, 0 ad abc, the fd the mmum of Soluto Note that 0 abc,, Let formula we have a b c a b c d x dx 0 f( x x, x(0, x ( x ( ( (, The, va the 8 9 ( (0 ( (0 f x x x 3 ( 0 (8 x x (9 x x By the geeralzed Jese's equalty, 0 0 abc f 3 3 [ f ( a f ( b f ( c ] 3 a b c 3 a b c 0 0 0

11 0 0 So, the mmum s, whe a b c Example 55 If abcd,,, 0 ad c d ( a b, the show that 3 a, a c b d b Proof Let x x, y ( ac, y ( bd By the geeralzed c d Cauchy-Schwartz equalty, we have 3 3 a b ( ac bd c d ( x x ( y y ( x y x y ( a b ( a b ( c d ac bd Cacelg ac bd o both sdes, we get the desred result 5 Cocluso I the paper, we troduce the defto of geeralzed covex fucto o fractal sets Based o the defto, we study the propertes of the geeralzed covex fuctos ad establsh two mportat equaltes: the geeralzed Jese s equalty ad geeralzed Hermte-Hadamard s equalty At last, we also gve some applcatos for these equaltes o fractal sets Acowledgmets The authors would le to express ther grattude to the revewers for ther very valuable commets Ad, ths wor s supported by the Natoal Natural Scece Foudato of Cha (No 604 Refereces [] J R Joatha ad P A Mattew, Jeses Iequalty Predcts Effects of Evrometal Varato, Treds Ecology & Evoluto, vol 4, o 9, pp36-366, 999 [] M Gralatt ad J T Lamaa, Jese s Iequalty, Parameter Ucertaty, ad Multperod Ivestmet, Revew of Asset Prcg Studes, vol, o, pp-34, 0 [3] PRBeesacadJPeˇ car c, O Jese s equalty for covex fuctos, Joural of Mathematcal Aalyss ad Applcato, vol 0, pp , 985 [4] D S Mtrovc ad I B Lacovc, Hermte ad Covexty, Aequatoes Mathematcae, vol 8, pp 9-3, 985 [5] K M Kolwaar ad A D Gagal, Local Fractoal Calculus: a Calculus for Fractal Space-tme, I: Fractals, Sprger, Lodo, 999 [9] A K Golmahaeh ad D Baleau, O a New Measure o Fractals, Joural of Iequaltesad Applcatos, vol 5, o, pp -9, 03

12 [7] B B Madelbrot, The Fractal Geometry of Nature, Macmlla, 983 [8] K J Falcoer, Fractal Geometry: Mathematcal Foudatos ad Applcatos, Wley, New Yor, 007 [9] G A Edgar, Itegral Probablty ad Fractal Measures, Sprger, Berl, 998 [0] A Carpter, B Chaa ad P Corett, Statc-ematc Dualty ad the Prcple of Vrtual Wor the Mechacs of Fractal Meda, Computer Methods Appled Mechacs ad Egeerg, vol9, pp3-9, 00 [] F Gao, W P Zhog ad X M She, Applcatos of Yag-Fourer Trasform to Local Fractoal Equatos wth Local Fractoal Dervatve ad Local Fractoal Itegral, Advaced Materals Research, vol 46, pp , 0 [] A Babaha ad V Daftardar-Gejj, O Calculus of Local Fractoal Dervatves, Joural of Mathematcal Aalyss ad Applcatos, vol 70, pp 66-79, 00 [3] X J Yag, Advaced Local Fractoal Calculus ad Its Applcatos, World Scece Publsher, New Yor, 0 [4] Y Zhao, D F Cheg ad X J Yag, Approxmato Solutos for Local Fractoal Schr odger Equato the Oe-Dmesoal Catora System, Advaces Mathematcal Physcs, vol 03, pp 5, 03

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

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

4 Inner Product Spaces

4 Inner Product Spaces 11.MH1 LINEAR ALGEBRA Summary Notes 4 Ier Product Spaces Ier product s the abstracto to geeral vector spaces of the famlar dea of the scalar product of two vectors or 3. I what follows, keep these key

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

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

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

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

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

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

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

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

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

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

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

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

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

. 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

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals

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

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

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

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

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal

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

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

5 Short Proofs of Simplified Stirling s Approximation

5 Short Proofs of Simplified Stirling s Approximation 5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:

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

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

arxiv: v4 [math.nt] 14 Aug 2015

arxiv: v4 [math.nt] 14 Aug 2015 arxv:52.799v4 [math.nt] 4 Aug 25 O the propertes of terated bomal trasforms for the Padova ad Perr matrx sequeces Nazmye Ylmaz ad Necat Tasara Departmet of Mathematcs, Faculty of Scece, Selcu Uversty,

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

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

18.413: Error Correcting Codes Lab March 2, Lecture 8

18.413: Error Correcting Codes Lab March 2, Lecture 8 18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse

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

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

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

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

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

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

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

Some Notes on the Probability Space of Statistical Surveys

Some Notes on the Probability Space of Statistical Surveys Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty

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

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

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

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

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

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection

On Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection Theoretcal Mathematcs & Applcatos vol. 4 o. 4 04-7 ISS: 79-9687 prt 79-9709 ole Scepress Ltd 04 O Submafolds of a Almost r-paracotact emaa Mafold Edowed wth a Quarter Symmetrc Metrc Coecto Mob Ahmad Abdullah.

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

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

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test Fal verso The teral structure of atural umbers oe method for the defto of large prme umbers ad a factorzato test Emmaul Maousos APM Isttute for the Advacemet of Physcs ad Mathematcs 3 Poulou str. 53 Athes

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

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

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad

More information

Fractional Order Finite Difference Scheme For Soil Moisture Diffusion Equation And Its Applications

Fractional Order Finite Difference Scheme For Soil Moisture Diffusion Equation And Its Applications IOS Joural of Mathematcs (IOS-JM e-iss: 78-578. Volume 5, Issue 4 (Ja. - Feb. 3, PP -8 www.osrourals.org Fractoal Order Fte Dfferece Scheme For Sol Mosture Dffuso quato Ad Its Applcatos S.M.Jogdad, K.C.Takale,

More information

Chain Rules for Entropy

Chain Rules for Entropy Cha Rules for Etroy The etroy of a collecto of radom varables s the sum of codtoal etroes. Theorem: Let be radom varables havg the mass robablty x x.x. The...... The roof s obtaed by reeatg the alcato

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

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

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

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-aalogue of Fboacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Beaoum Prce Mohammad Uversty, Al-Khobar 395, Saud Araba Abstract I ths paper, we troduce the h-aalogue of Fboacc umbers for o-commutatve

More information

arxiv:math/ v2 [math.gr] 26 Feb 2001

arxiv:math/ v2 [math.gr] 26 Feb 2001 arxv:math/0101070v2 [math.gr] 26 Feb 2001 O drft ad etropy growth for radom walks o groups Aa Erschler (Dyuba) e-mal: aad@math.tau.ac.l, erschler@pdm.ras.ru 1 Itroducto prelmary verso We cosder symmetrc

More information

Decomposition of Hadamard Matrices

Decomposition of Hadamard Matrices Chapter 7 Decomposto of Hadamard Matrces We hae see Chapter that Hadamard s orgal costructo of Hadamard matrces states that the Kroecer product of Hadamard matrces of orders m ad s a Hadamard matrx of

More information

E be a set of parameters. A pair FE, is called a soft. A and GB, over X is the soft set HC,, and GB, over X is the soft set HC,, where.

E be a set of parameters. A pair FE, is called a soft. A and GB, over X is the soft set HC,, and GB, over X is the soft set HC,, where. The Exteso of Sgular Homology o the Category of Soft Topologcal Spaces Sad Bayramov Leoard Mdzarshvl Cgdem Guduz (Aras) Departmet of Mathematcs Kafkas Uversty Kars 3600-Turkey Departmet of Mathematcs Georga

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

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

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

On the convergence of derivatives of Bernstein approximation

On the convergence of derivatives of Bernstein approximation O the covergece of dervatves of Berste approxmato Mchael S. Floater Abstract: By dfferetatg a remader formula of Stacu, we derve both a error boud ad a asymptotc formula for the dervatves of Berste approxmato.

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

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

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

The Lie Algebra of Smooth Sections of a T-bundle

The Lie Algebra of Smooth Sections of a T-bundle IST Iteratoal Joural of Egeerg Scece, Vol 7, No3-4, 6, Page 8-85 The Le Algera of Smooth Sectos of a T-udle Nadafhah ad H R Salm oghaddam Astract: I ths artcle, we geeralze the cocept of the Le algera

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

= 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

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

arxiv: v2 [math.ca] 30 Jul 2015

arxiv: v2 [math.ca] 30 Jul 2015 O the sum of squared arthms equalty ad related equaltes Foz M. Daa ad Patrzo Neff ad Chrsta Thel arxv:.290v2 [math.ca] 30 Jul 205 July 3, 205 Abstract We cosder the sum of squared arthms equalty ad vestgate

More information

Almost Sure Convergence of Pair-wise NQD Random Sequence

Almost Sure Convergence of Pair-wise NQD Random Sequence www.ccseet.org/mas Moder Appled Scece Vol. 4 o. ; December 00 Almost Sure Covergece of Par-wse QD Radom Sequece Yachu Wu College of Scece Gul Uversty of Techology Gul 54004 Cha Tel: 86-37-377-6466 E-mal:

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

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

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

NP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer

NP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer NP!= P By Lu Ra Table of Cotets. Itroduce 2. Prelmary theorem 3. Proof 4. Expla 5. Cocluso. Itroduce The P versus NP problem s a major usolved problem computer scece. Iformally, t asks whether a computer

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

TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM.

TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM. Abbas Iraq Joural of SceceVol 53No 12012 Pp. 125-129 TRIANGULAR MEMBERSHIP FUNCTIONS FOR SOLVING SINGLE AND MULTIOBJECTIVE FUZZY LINEAR PROGRAMMING PROBLEM. Iraq Tarq Abbas Departemet of Mathematc College

More information

On the construction of symmetric nonnegative matrix with prescribed Ritz values

On the construction of symmetric nonnegative matrix with prescribed Ritz values Joural of Lear ad Topologcal Algebra Vol. 3, No., 14, 61-66 O the costructo of symmetrc oegatve matrx wth prescrbed Rtz values A. M. Nazar a, E. Afshar b a Departmet of Mathematcs, Arak Uversty, P.O. Box

More information

A conic cutting surface method for linear-quadraticsemidefinite

A conic cutting surface method for linear-quadraticsemidefinite A coc cuttg surface method for lear-quadratcsemdefte programmg Mohammad R. Osoorouch Calfora State Uversty Sa Marcos Sa Marcos, CA Jot wor wth Joh E. Mtchell RPI July 3, 2008 Outle: Secod-order coe: defto

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

Unit 9. The Tangent Bundle

Unit 9. The Tangent Bundle Ut 9. The Taget Budle ========================================================================================== ---------- The taget sace of a submafold of R, detfcato of taget vectors wth dervatos at

More information

A NEW NUMERICAL APPROACH FOR SOLVING HIGH-ORDER LINEAR AND NON-LINEAR DIFFERANTIAL EQUATIONS

A NEW NUMERICAL APPROACH FOR SOLVING HIGH-ORDER LINEAR AND NON-LINEAR DIFFERANTIAL EQUATIONS Secer, A., et al.: A New Numerıcal Approach for Solvıg Hıgh-Order Lıear ad No-Lıear... HERMAL SCIENCE: Year 8, Vol., Suppl., pp. S67-S77 S67 A NEW NUMERICAL APPROACH FOR SOLVING HIGH-ORDER LINEAR AND NON-LINEAR

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

9 U-STATISTICS. Eh =(m!) 1 Eh(X (1),..., X (m ) ) i.i.d

9 U-STATISTICS. Eh =(m!) 1 Eh(X (1),..., X (m ) ) i.i.d 9 U-STATISTICS Suppose,,..., are P P..d. wth CDF F. Our goal s to estmate the expectato t (P)=Eh(,,..., m ). Note that ths expectato requres more tha oe cotrast to E, E, or Eh( ). Oe example s E or P((,

More information

Multivariate Transformation of Variables and Maximum Likelihood Estimation

Multivariate Transformation of Variables and Maximum Likelihood Estimation Marquette Uversty Multvarate Trasformato of Varables ad Maxmum Lkelhood Estmato Dael B. Rowe, Ph.D. Assocate Professor Departmet of Mathematcs, Statstcs, ad Computer Scece Copyrght 03 by Marquette Uversty

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

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

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces *

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces * Advaces Pure Matheatcs 0 80-84 htt://dxdoorg/0436/a04036 Publshed Ole July 0 (htt://wwwscrporg/oural/a) A Faly of No-Self Mas Satsfyg -Cotractve Codto ad Havg Uque Coo Fxed Pot Metrcally Covex Saces *

More information

Generalization of the Dissimilarity Measure of Fuzzy Sets

Generalization of the Dissimilarity Measure of Fuzzy Sets Iteratoal Mathematcal Forum 2 2007 o. 68 3395-3400 Geeralzato of the Dssmlarty Measure of Fuzzy Sets Faramarz Faghh Boformatcs Laboratory Naobotechology Research Ceter vesa Research Isttute CECR Tehra

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

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

Investigating Cellular Automata

Investigating Cellular Automata Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte

More information

CONSTRUCTING GENERALIZED MEAN FUNCTIONS USING CONVEX FUNCTIONS WITH REGULARITY CONDITIONS

CONSTRUCTING GENERALIZED MEAN FUNCTIONS USING CONVEX FUNCTIONS WITH REGULARITY CONDITIONS CONSTRUCTING GENERALIZED MEAN FUNCTIONS USING CONVEX FUNCTIONS WITH REGULARITY CONDITIONS YUN-BIN ZHAO, SHU-CHERNG FANG, AND DUAN LI Abstract. The geeralzed mea fucto has bee wdely used covex aalyss ad

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information