Continuous Indexed Variable Systems

Size: px
Start display at page:

Download "Continuous Indexed Variable Systems"

Transcription

1 Ieraoal Joural o Compuaoal cece ad Mahemacs. IN Volume 3, Number 4 (20), pp Ieraoal Research Publcao House hp:// Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh Mashhad Islamc zad Uversy, Parad Brach, Tehra, Ira E-mal: apouhassa@gmal.com, mohammad_h@yahoo.com bsrac I hs paper, we roduce he heory o Couous Idexed Varable ysems as a ew srucure o Idexed Varable ysems. lso, we sudy wh he vew o Topology ad lgebra ad we prove some esseal properes abou he caegory o Idexable ses. Keywords: Couous Idexed Varable ysem, Caegory, Covara, Coravara, Fucor, Idexable se, Local Topology. Iroduco dea or roducg Idexed Varable ysems ( IV or shor) ca be oud [3], [6]. ccordg hs, a IV coas a oempy se ad a amly o Ξ, where R s a subse o erval [0,] ad or membershp-cogrue relaos { } each x, y r r R he ollowg codos hold: () here exss r R such ha x = r y, () x = r y, he y = r x, () x y uary. = ad oly x ad y are o wo dere objecs ; vz, {, } x y s Moslemy ad Pouhassa [3] proved ha each IV s a merc space ad vce versa, urhermore, hey proved ha Idexed Idey relao s o a equvalece relao. lso hey roduced he coceps o local opology ad opologcal Eropy or a IV ad provded some properes abou hem [4]. ccordg hs properes, Pouhassa [5] gave a ew srucure or IG ha ca be useul or urher vesgaos he uure. I he ollowg secos, we wll dee Couous Idexed Varable ysems (CIV or shor) wh respec o prevous sudes ad meawhle reed prevous

2 402. Pouhassa ad F. Mohammad ghjeh Mashhad resuls, some properes ad cosequeces hs opc specally algebrac properes - wll be preseed. Idexable es We sar hs seco by he ollowg deo ha expresses he deo o IV wh ucos. Deo II.. Le be a arbrary oempy se. uco : [0,] s called Couous Idexed Varable ysem (CIV or shor) over he ollowg codos hold or each x, y.. There exss r [0,] such ha ( x, y) = r.. ( x, y) = ( y, x).. ( x, y ) = ad oly x = y. I here exss such uco, he s called a Idexable se. Here we prese some examples o such sysems. Example II.2. () Le = (0, ), he he uco 2xy ( x, y) = s a CIV over. 2 2 x + y π π (2) Le = (, ), he he uco ( x, y) = Cos x y s a CIV over. 4 4 (3) ( x, y) = s a CIV over. x y + I he res o hs seco, we assume ha s a arbrary oempy se. Lemma II.3. I ad g are CIVs over he so s. g, where (. g )( x, y ) = ( x, y ). g ( x, y ) or each x, y. lso every e produc o CIVs over s CIV over. Proo. The rs assero easly ollows rom Deo II. ad he secod oe, ca be deduce by several mes usg he rs par. Lemma II.4. Le be a CIV over ad x, y arbrary ad xed elemes o. Cosder he sequece ( ( x, y)) =, where ( x, y) = ( x, y). ( x, y) or each x = y. The lm ( x, y) = δ ( x, y), where δ ( x, y) =. 0 x y

3 Couous Idexed Varable ysems 403 Proo. I s rval by he Deo II.. Lemma II.5. Le :[0,] [0,] be a jecve uco ad g be a CIV over. The og s a CIV over ad oly () =. Proo. I og s a CIV over, he x = y mples ha og ( x, y ) = ad so g( x, y) = (). I he oher had, x = y mples ha g( x, y ) =, hus () =. Vce versa, he rs wo codos o CIV s deo hold mmedaely or og over. lso or each x, y, we have og ( x, y ) = ad oly g( x, y ) =. I ollows ha og sases he hrd codo o CIV s deo. Example II.6. I he secod par o Example II.2, oe has g ( x, y) = cos x y s a π π x + CIV over = (, ). Le :[0,] [0,] such ha ( x ): =. Hece cos x y + s a CIV over by Lemma II.5. 2 Local Topologes o he Idexable es I hs seco, be a arbrary oempy se ad s a CIV over. The s a Idexable se. For each x ad [0,], we deoe N ( x) = { y ; ( x, y) }. By usg hs oao, we cosruc a opology or he ex resul. Theorem III.. Le x ad τ ( x ) cosss o all ses N ( x ), where [0,]. The s a opologcal space wh τ ( x ). Proo. I s rval ha τ ( x ) cosss ad empy se. uppose ha { N ( x)} I be a arbrary subse o τ ( x ). e : =. Oe ca see ha I N ( x) = N ( x) τ ( x). I lso, { N ( x )} = be a e subse o τ ( x ), he N ( x) = N ( ) ( ) s x τ x, = where s = sup. Thereore τ ( x ) s a opology o.

4 404. Pouhassa ad F. Mohammad ghjeh Mashhad The above opology proposed as local opology geeraed by x (or depeds o ( x )). Theorem III.2. Le Y be a arbrary oempy se ad φ : Y s a bjecve uco. The Y s a Idexable se ad φ s a homomorphsm bewee local opologes geeraed by x ad φ ( x ) or each x (.e. φ ad s verse are boh couous). Proo. Dee he uco g : Y Y [0,] by g ( y, y 2) = ( x, x), where φ ( x ) = y ad φ ( x 2) = y 2. The g s a CIV over Y, because g ( y, y ) = ( x, x ) ad 2 2 = ( x 2, x) = g ( y, y ) 2 g( y, y ) = ( x, x ) = 2 2 x = x 2 y = y. 2 For he secod assero, le x 0, φ( x 0) = y 0ad [0,]. The φ( N ( x )) = φ({ x ; ( x, x) }) 0 0 = {( φ x ); ( x, x) } = { y Y ; g( y, y) } = g N ( y ) mples ha φ s couous. mlarly, proo. φ s also couous ad complees he Remark III.3. I he Theorem III.2, τ ( φ ( x )) are homomorphc. g = Y, he local opologes τ ( x ) ad Theorem III.4. Le be a e dmeso vecor space o he eld o real umbers. ssume ha = { a,..., a } be a oempy subse o ad L deoes he subspace o ha s geeraed by. The L s a Idexable se. Proo. ce every geeraor se o a vecor space coas a bass, he whou loss

5 Couous Idexed Varable ysems 405 o geeraly, we may ad do assume ha s a base or L. We dee θ : L L [0,], such ha or each r, r. θ ( ra, ra ) : = { ( ra, ra ); =,..., } = = We show ha s a CIV over L. I s clear ha θ s well deed ad sases he rs ad secod codos rom he deo o CIV. The, or compleg he proo, we eed o show ha or each eleme uvo, L, θ ( uv, ) = ad oly u = v. s uv, L, here exss r, r such ha u = ra ad v ce s a bass or L ad s a CIV over, we have θ ( uv, ) = ( ra, ra ) = =,..., ra = ra =,..., r = r =,..., u = v. = = ra. = The L s a Idexable se, as clamed. The Caegory o Idexable es I hs seco, we sudy Idexable ses rom a lgebrac po o vew. o, we cosruc he caegory o Idexable ses whch s a useul laguage ad provdes a eld or more sudes abou Idexable ses ad CIVs. For more ormao abou caegores, we reer he reader o [], [2]. Deo IV.. caegory s a class C o objecs such as, B, C,... ad a dsjo amly o morphsms or each eleme, B o C whch s deoed by HomC (, B ) (elemes o HomC (, B ) are cosdered as : B ) such ha here s a uco or each eleme, B, D o C such as θ : Hom ( B, ) Hom ( BD, ) Hom ( D, ) BD C C C ha θ ( BD, g ) = go, where he composo go s deed ad sases he ollowg codos:. or each : B D, g : B ad h: E, we have ( og ) oh = o( goh) (ssocavy);

6 406. Pouhassa ad F. Mohammad ghjeh Mashhad. or each eleme o C such as B, here exss Hom ( B, B ) such ha or : B ad g : B, oe has B o = ad go B B C = g (Idey). Deo Iv.2. Le B ad C be wo caegores. B s called a subcaegory o C sases he ollowg codo:. each objec o B s a objec o C ;. or each objec ad Y B, Hom (, Y ) Hom (, Y ) ;. v. he combao o morphsms B ad C are exacly he same; or each objec o B, he dey morphsms B ad C are exacly he same. lso, he subcaegory B o C s called ull subcaegory or all ad Y B, oe has Hom (, Y ) = Hom (, Y ). B C Example ad Noao IV.3. Le be a class o all ses. For each, B, assume ha Hom (, B ) s he se o all ucos : B ad he combao bewee ucos s he same usual combao. The s a caegory. Oe ca see ha he class o all Idexable ses s a ull subcaegory o ha we deoe by. The ollowg Lemma shows ha he se o all morphsms bewee wo Idexable ses s Idexable se, oo. B C Lemma IV.4. Le ad Y. The Hom (, Y ). Proo. Le be a CIV over Y. We dee h : Hom (, Y ) Hom (, Y ) [0,] such ha h( α, β) : = { ( α ( x), β ( x)); x } or all α, β Hom (, Y ). The by he smlar proo o Theorem III.3, he assero s ollowed. Oe o he eresg properes o caegores s exsece o produc hem. We show ha he produc exss or each amly o objecs. For hs mea, we eed he ollowg deo. Deo IV.5. Le C be a caegory ad { ; I} a amly o objecs C. produc or { ; I} s a objec P o C wh a amly o morphsms such as { ϕ : P ; I} such ha or each objec B o C ad amly { ψ : B ; I} o morphsms, here exss a uque morphsm φ : B P such ha ϕoφ = ψ or each I.

7 Couous Idexed Varable ysems 407 Theorem IV.6. Each amly o objecs has a produc. Proo. ssume ha { ; I} s a amly o objecs ad produc o hem ( we recall ha = {( a) I; a, I} ). I s a Caresa I The s a produc caegory by []. ce s a ull subcaegory o, s suce o prove ha s a Idexable se. For hs mea, we dee I h: [0,] I I uch ha h(( a) I,( b) I) : = { h( a, b); I}, where h s a CIV over ad a, b or each I. s h( a, b) = h( b, a) or all a, b, he h(( a) I,( b) I) = h(( b) I,( a) I). lso we have h(( a) I,( b) I) = ad oly h( a, b ) = ad oly a = b or each I. Thus h s a CIV o. Remark IV.7. I produc exss or a amly o objecs a arbrary caegory, he s uque up o somorphsm, see []. Fally, we coclude hs paper by deg maps ha preserve he srucure o Idexable ses. For hs mea, we eed he deo o covara ad coravare ucors. Deo IV.8. ssume ha C ad D are wo arbrary caegores. covara (resp. coravara) ucor s a par o ucos ha boh o hem are deoed by T such ha oe o hem gves o each objec o C, oe objec T ( ) o D ad he oher gves o each morphsm : B o C a morphsm such as T ( ): T ( ) T ( B) (resp. T ( ): T ( B) T ( ) ) o D ha:. or each objec o C, T ( ) = T ( ) ;. or each wo morphsms ad g o C ha her combao ca be deed, oe has T ( go ) = T ( g ) ot ( )(resp. T ( go ) = T ( ) ot ( g )). Theorem IV.9. (a) Le. The h ( Y ): = Hom (, Y ), I h (.) : s deed by ad h ( )( g): = og or all Y, Z, Hom ( Y, Z ) ad g Hom (, Y ) s a covara ucor.

8 408. Pouhassa ad F. Mohammad ghjeh Mashhad (b) Le Y Y. The h (.) : s deed by Y h ( ): = Hom (, Y ) ad or each Y h ( )( g ): = go, Hom (, Z ) ad, Z g Hom ( Z, Y ) s a coravare ucor. Proo. (a) By Lemma IV.4, h (.) s well deed. lso, by he deo o h (.), oe ca see ha h ( Y ) = h ( Y ) or each Y. Hece, we jus show ha h ( go ) = h ( g ) oh ( ), Where g : Y T, : Z Y ad Y, Z, T. We have h ( go ): Hom (, Z ) Hom (, T ) ha h ( go )( h) = ( go ) oh = go( h ( )( h)) = ( h ( g) oh ( ))( h) or each h Hom (, Z ). Thus h ( go ) = h ( g ) oh ( ) ad hs complees he proo. (b) By usg coravara ucor sead o covara ucor, he proo proceed exacly (a), so we leave o he reader. ckowledgme Ths research was par suppored by a gra rom Islamc zad Uversy, Parad brach, Ira.

9 Couous Idexed Varable ysems 409 Reereces [] T. W. Hugerord, lgebra, prger Verlag, 974, ch.0 ad 0. [2]. Maclae, Caegory or he workg mahemacas, New York: prger- Verlag, 97. [3] M. H. Moslemy Koupae ad. Pouhassa, Idexed dey ad uzzy se heory, Proceedg o he 6-h Iraa Coerece o Fuzzy ysems ad -h Islamc World Coerece o Fuzzy ysems (Persa Verso), [4] M. H. Moslemy Koupae ad. Pouhassa, Topologcal Eropy o a IV, Iraa Mahemacal Coerece, [5]. Pouhassa, ome dscree proposos IVs, Proceedg o WET, vol. 37, 2009, pp [6].. a a, Idexed dey ad uzzy se heory, arv:99082.

On cartesian product of fuzzy primary -ideals in -LAsemigroups

On cartesian product of fuzzy primary -ideals in -LAsemigroups Joural Name Orgal Research aper O caresa produc o uzzy prmary -deals -Lsemgroups aroe Yarayog Deparme o Mahemacs, Faculy o cece ad Techology, bulsogram Rajabha Uvers, hsauloe 65000, Thalad rcle hsory Receved:

More information

General Complex Fuzzy Transformation Semigroups in Automata

General Complex Fuzzy Transformation Semigroups in Automata Joural of Advaces Compuer Research Quarerly pissn: 345-606x eissn: 345-6078 Sar Brach Islamc Azad Uversy Sar IRIra Vol 7 No May 06 Pages: 7-37 wwwacrausaracr Geeral Complex uzzy Trasformao Semgroups Auomaa

More information

Available online Journal of Scientific and Engineering Research, 2014, 1(1): Research Article

Available online  Journal of Scientific and Engineering Research, 2014, 1(1): Research Article Avalable ole wwwjsaercom Joural o Scec ad Egeerg Research, 0, ():0-9 Research Arcle ISSN: 39-630 CODEN(USA): JSERBR NEW INFORMATION INEUALITIES ON DIFFERENCE OF GENERALIZED DIVERGENCES AND ITS APPLICATION

More information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state) Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.

More information

Complementary Tree Paired Domination in Graphs

Complementary Tree Paired Domination in Graphs IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X Volume 2, Issue 6 Ver II (Nov - Dec206), PP 26-3 wwwosrjouralsorg Complemeary Tree Pared Domao Graphs A Meeaksh, J Baskar Babujee 2

More information

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad

More information

Fully Fuzzy Linear Systems Solving Using MOLP

Fully Fuzzy Linear Systems Solving Using MOLP World Appled Sceces Joural 12 (12): 2268-2273, 2011 ISSN 1818-4952 IDOSI Publcaos, 2011 Fully Fuzzy Lear Sysems Solvg Usg MOLP Tofgh Allahvraloo ad Nasser Mkaelvad Deparme of Mahemacs, Islamc Azad Uversy,

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

Fundamentals of Speech Recognition Suggested Project The Hidden Markov Model

Fundamentals of Speech Recognition Suggested Project The Hidden Markov Model . Projec Iroduco Fudameals of Speech Recogo Suggesed Projec The Hdde Markov Model For hs projec, s proposed ha you desg ad mpleme a hdde Markov model (HMM) ha opmally maches he behavor of a se of rag sequeces

More information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method Ieraoal Reearch Joural o Appled ad Bac Scece Avalable ole a wwwrabcom ISSN 5-88X / Vol : 8- Scece xplorer Publcao New approach or umercal oluo o Fredholm eral equao yem o he ecod d by u a expao mehod Nare

More information

A note on Turán number Tk ( 1, kn, )

A note on Turán number Tk ( 1, kn, ) A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco

More information

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

NON-IDEMPOTENT PLONKA FUNCTIONS AND WEAKLY PLONKA SUMS

NON-IDEMPOTENT PLONKA FUNCTIONS AND WEAKLY PLONKA SUMS DS Davdova YuM Movssa УДК 557 NON-IDEMPOTENT PLONKA UNCTIONS AND WEAKLY PLONKA SUMS DS Davdova ddavdova@aderu YuM Movssa movssa@suam Russa-Armea Uvers Yereva Armea Yereva Sae Uvers Yereva Armea We roduce

More information

An Application of Linear Automata to Near Rings

An Application of Linear Automata to Near Rings ppled Mhemcs,, 3, 64-68 hp://dxdoorg/436/m33 Publshed Ole November (hp://wwwscrporg/ourl/m) pplco o Ler uom o Ner Rgs Sog You, Yu Feg, Mg Co, Ypg We School o Mhemcs d Compuer Scece, Hube Uversy, Wuh, Ch

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China, Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs

More information

CONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS

CONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS 44 Asa Joural o Corol Vol 8 No 4 pp 44-43 December 6 -re Paper- CONTROLLAILITY OF A CLASS OF SINGULAR SYSTEMS Guagmg Xe ad Log Wag ASTRACT I hs paper several dere coceps o corollably are vesgaed or a class

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm Exam. Tuesday, September hour, 15 minutes Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.

More information

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

More information

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

4 5 = So 2. No, as = ± and invariant factor 6. Solution 3 Each of (1, 0),(1, 2),(0, 2) has order 2 and generates a C

4 5 = So 2. No, as = ± and invariant factor 6. Solution 3 Each of (1, 0),(1, 2),(0, 2) has order 2 and generates a C Soluos (page 7) ρ 5 4 4 Soluo = ρ as 4 4 5 = So ρ, ρ s a Z bass of Z ad 5 4 ( m, m ) = (,7) = (,9) No, as 5 7 4 5 6 = ± Soluo The 6 elemes of Z K are: g = K + e + e, g = K + e, g = K + e, 4g = K + e, 5g

More information

Supplement Material for Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion

Supplement Material for Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion Suppleme Maeral for Iverse Probably Weged Esmao of Local Average Treame Effecs: A Hger Order MSE Expaso Sepe G. Doald Deparme of Ecoomcs Uversy of Texas a Aus Yu-C Hsu Isue of Ecoomcs Academa Sca Rober

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

On Metric Dimension of Two Constructed Families from Antiprism Graph

On Metric Dimension of Two Constructed Families from Antiprism Graph Mah S Le 2, No, -7 203) Mahemaal Sees Leers A Ieraoal Joural @ 203 NSP Naural Sees Publhg Cor O Mer Dmeso of Two Cosrued Famles from Aprm Graph M Al,2, G Al,2 ad M T Rahm 2 Cere for Mahemaal Imagg Tehques

More information

Fourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems

Fourth Order Runge-Kutta Method Based On Geometric Mean for Hybrid Fuzzy Initial Value Problems IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 29-765X. Volume, Issue 2 Ver. II (Mar. - Apr. 27), PP 4-5 www.osrjourals.org Fourh Order Ruge-Kua Mehod Based O Geomerc Mea for Hybrd Fuzzy

More information

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

Real-time Classification of Large Data Sets using Binary Knapsack

Real-time Classification of Large Data Sets using Binary Knapsack Real-me Classfcao of Large Daa Ses usg Bary Kapsack Reao Bru bru@ds.uroma. Uversy of Roma La Sapeza AIRO 004-35h ANNUAL CONFERENCE OF THE ITALIAN OPERATIONS RESEARCH Sepember 7-0, 004, Lecce, Ialy Oule

More information

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

More information

JORIND 9(2) December, ISSN

JORIND 9(2) December, ISSN JORIND 9() December, 011. ISSN 1596 8308. www.rascampus.org., www.ajol.o/jourals/jord THE EXONENTIAL DISTRIBUTION AND THE ALICATION TO MARKOV MODELS Usma Yusu Abubakar Deparme o Mahemacs/Sascs Federal

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

Solution set Stat 471/Spring 06. Homework 2

Solution set Stat 471/Spring 06. Homework 2 oluo se a 47/prg 06 Homework a Whe he upper ragular elemes are suppressed due o smmer b Le Y Y Y Y A weep o he frs colum o oba: A ˆ b chagg he oao eg ad ec YY weep o he secod colum o oba: Aˆ YY weep o

More information

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision Frs Jo Cogress o Fuzzy ad Iellge Sysems Ferdows Uversy of Mashhad Ira 9-3 Aug 7 Iellge Sysems Scefc Socey of Ira Solvg fuzzy lear programmg problems wh pecewse lear membershp fucos by he deermao of a crsp

More information

Upper Bound For Matrix Operators On Some Sequence Spaces

Upper Bound For Matrix Operators On Some Sequence Spaces Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah

More information

-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for

-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for Assgme Sepha Brumme Ocober 8h, 003 9 h semeser, 70544 PREFACE I 004, I ed o sped wo semesers o a sudy abroad as a posgraduae exchage sude a he Uversy of Techology Sydey, Ausrala. Each opporuy o ehace my

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

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.

More information

Probability Bracket Notation, Probability Vectors, Markov Chains and Stochastic Processes. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA, USA

Probability Bracket Notation, Probability Vectors, Markov Chains and Stochastic Processes. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA, USA Probably Bracke Noao, Probably Vecors, Markov Chas ad Sochasc Processes Xg M. Wag Sherma Vsual Lab, Suyvale, CA, USA Table of Coes Absrac page1 1. Iroduco page. PBN ad Tme-depede Dscree Radom Varable.1.

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

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

Optimal Control and Hamiltonian System

Optimal Control and Hamiltonian System Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of

More information

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R Joural of Scieces, Islamic epublic of Ira 23(3): 245-25 (22) Uiversiy of Tehra, ISSN 6-4 hp://jscieces.u.ac.ir Approximaely Quasi Ier Geeralized Dyamics o Modules M. Mosadeq, M. Hassai, ad A. Nikam Deparme

More information

Partial Molar Properties of solutions

Partial Molar Properties of solutions Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a

More information

Chapter 5. Localization. 5.1 Localization of categories

Chapter 5. Localization. 5.1 Localization of categories Chaper 5 Localizaion Consider a caegory C and a amily o morphisms in C. The aim o localizaion is o ind a new caegory C and a uncor Q : C C which sends he morphisms belonging o o isomorphisms in C, (Q,

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Quantitative Portfolio Theory & Performance Analysis

Quantitative Portfolio Theory & Performance Analysis 550.447 Quaave Porfolo heory & Performace Aalyss Week February 4 203 Coceps. Assgme For February 4 (hs Week) ead: A&L Chaper Iroduco & Chaper (PF Maageme Evrome) Chaper 2 ( Coceps) Seco (Basc eur Calculaos)

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

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae

More information

Cyclone. Anti-cyclone

Cyclone. Anti-cyclone Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme

More information

FALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.

FALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below. Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50

More information

M. Sc. MATHEMATICS MAL-521 (ADVANCE ABSTRACT ALGEBRA)

M. Sc. MATHEMATICS MAL-521 (ADVANCE ABSTRACT ALGEBRA) . Sc. ATHEATICS AL-52 (ADVANCE ABSTRACT ALGEBRA) Lesso No &Lesso Name Wrer Veer Lear Trasformaos Dr. Pakaj Kumar Dr. Nawee Hooda 2 Caocal Trasformaos Dr. Pakaj Kumar Dr. Nawee Hooda 3 odules I Dr. Pakaj

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

More information

Mixed Integral Equation of Contact Problem in Position and Time

Mixed Integral Equation of Contact Problem in Position and Time Ieraoal Joural of Basc & Appled Sceces IJBAS-IJENS Vol: No: 3 ed Iegral Equao of Coac Problem Poso ad me. A. Abdou S. J. oaquel Deparme of ahemacs Faculy of Educao Aleadra Uversy Egyp Deparme of ahemacs

More information

LECTURE 8: Topics in Chaos Ricker Equation. Period doubling bifurcation. Period doubling cascade. A Quadratic Equation Ricker Equation 1.0. x x 4 0.

LECTURE 8: Topics in Chaos Ricker Equation. Period doubling bifurcation. Period doubling cascade. A Quadratic Equation Ricker Equation 1.0. x x 4 0. LECTURE 8: Topcs Chaos Rcker Equato (t ) = (t ) ep( (t )) Perod doulg urcato Perod doulg cascade 9....... A Quadratc Equato Rcker Equato (t ) = (t ) ( (t ) ). (t ) = (t ) ep( (t )) 6. 9 9. The perod doulg

More information

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad

More information

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao

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

Moments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables

Moments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.

More information

The Bernstein Operational Matrix of Integration

The Bernstein Operational Matrix of Integration Appled Mahemacal Sceces, Vol. 3, 29, o. 49, 2427-2436 he Berse Operaoal Marx of Iegrao Am K. Sgh, Vee K. Sgh, Om P. Sgh Deparme of Appled Mahemacs Isue of echology, Baaras Hdu Uversy Varaas -225, Ida Asrac

More information

Orbital Euclidean stability of the solutions of impulsive equations on the impulsive moments

Orbital Euclidean stability of the solutions of impulsive equations on the impulsive moments Pure ad Appled Mahemacs Joural 25 4(: -8 Publshed ole Jauary 23 25 (hp://wwwscecepublshggroupcom/j/pamj do: 648/jpamj254 ISSN: 2326-979 (Pr ISSN: 2326-982 (Ole Orbal ucldea sably of he soluos of mpulsve

More information

NOTE ON SIMPLE AND LOGARITHMIC RETURN

NOTE ON SIMPLE AND LOGARITHMIC RETURN Appled udes Agrbusess ad Commerce AAC Ceer-r ublshg House, Debrece DOI:.94/AAC/27/-2/6 CIENIFIC AE NOE ON IME AND OGAIHMIC EUN aa Mskolcz Uversy of Debrece, Isue of Accoug ad Face mskolczpaa@gmal.com Absrac:

More information

Domination in Controlled and Observed Distributed Parameter Systems

Domination in Controlled and Observed Distributed Parameter Systems Iellge Cool ad Auoao 3 4 7-6 h://dxdoorg/436/ca346 Publshed Ole May 3 (h://wwwscrorg/joural/ca) Doao Coolled ad Observed Dsbued Paraeer yses L Aff M Joud E M Magr A El Ja Deare of Maheacs ad Couer cece

More information

Unit 10. The Lie Algebra of Vector Fields

Unit 10. The Lie Algebra of Vector Fields U 10. The Le Algebra of Vecor Felds ================================================================================================================================================================ -----------------------------------

More information

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,

More information

Some Different Perspectives on Linear Least Squares

Some Different Perspectives on Linear Least Squares Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

θ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:

θ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions: Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log

More information

Sensors and Regional Gradient Observability of Hyperbolic Systems

Sensors and Regional Gradient Observability of Hyperbolic Systems Iellge Corol ad Auoao 3 78-89 hp://dxdoorg/436/ca3 Publshed Ole February (hp://wwwscrporg/oural/ca) Sesors ad Regoal Grade Observably of Hyperbolc Syses Sar Behadd Soraya Reab El Hassae Zerr Maheacs Depare

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

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

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

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

Binary Time-Frame Expansion

Binary Time-Frame Expansion Bary Tme-Frame Expaso Farza Fallah Fujsu Labs. o Amerca Suyvale, CA 9485 Absrac- Ths paper roduces a ew mehod or perormg me-rame expaso based o wrg he umber o me rames erms o powers o wo. I he proposed

More information

On subsets of the hypercube with prescribed Hamming distances

On subsets of the hypercube with prescribed Hamming distances O subses of he hypercube wh prescrbed Hammg dsaces Hao Huag Oleksy Klurma Cosm Pohoaa Absrac A celebraed heorem of Klema exremal combaorcs saes ha a colleco of bary vecors {0, 1} wh dameer d has cardaly

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Redundancy System Fault Sampling Under Imperfect Maintenance

Redundancy System Fault Sampling Under Imperfect Maintenance A publcao of CHEMICAL EGIEERIG TRASACTIOS VOL. 33, 03 Gues Edors: Erco Zo, Pero Barald Copyrgh 03, AIDIC Servz S.r.l., ISB 978-88-95608-4-; ISS 974-979 The Iala Assocao of Chemcal Egeerg Ole a: www.adc./ce

More information

The Signal, Variable System, and Transformation: A Personal Perspective

The Signal, Variable System, and Transformation: A Personal Perspective The Sgal Varable Syem ad Traformao: A Peroal Perpecve Sherv Erfa 35 Eex Hall Faculy of Egeerg Oule Of he Talk Iroduco Mahemacal Repreeao of yem Operaor Calculu Traformao Obervao O Laplace Traform SSB A

More information

Existence and Uniqueness Theorems for Generalized Set Differential Equations

Existence and Uniqueness Theorems for Generalized Set Differential Equations Ieraoal Joural of Corol Scece ad Egeerg, (): -6 DOI: 593/jCorol Exsece ad Uqueess Teorems for Geeralzed Se Dffereal Equaos Adrej Ploov,,*, Naala Srp Deparme of Opmal Corol & Ecoomc Cyberecs, Odessa Naoal

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

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl

More information

Integral Φ0-Stability of Impulsive Differential Equations

Integral Φ0-Stability of Impulsive Differential Equations Ope Joural of Appled Sceces, 5, 5, 65-66 Publsed Ole Ocober 5 ScRes p://wwwscrporg/joural/ojapps p://ddoorg/46/ojapps5564 Iegral Φ-Sably of Impulsve Dffereal Equaos Aju Sood, Sajay K Srvasava Appled Sceces

More information

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh

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