Research Article Some Existence Results for Impulsive Nonlinear Fractional Differential Equations with Closed Boundary Conditions
|
|
- Vivian Matthews
- 7 years ago
- Views:
Transcription
1 Hndaw Publshng Corporaton Abstract and Appled Analyss Volume 2012, Artcle ID , 15 pages do: /2012/ Research Artcle Some Exstence Results for Impulsve Nonlnear Fractonal Dfferental Equatons wth Closed Boundary Condtons Hlm Ergören 1 and Adem Klçman 2 1 Department of Mathematcs, Faculty of Scences, Yuzuncu Yl Unversty, Van, Turey 2 Department of Mathematcs and Insttute for Mathematcal Research, Unversty Putra Malaysa, Serdang, Malaysa Correspondence should be addressed to Adem Klçman, alcman@putra.upm.edu.my Receved 30 September 2012; Accepted 22 October 2012 Academc Edtor: Beata Rzepa Copyrght q 2012 H. Ergören and A. Klçman. Ths s an open access artcle dstrbuted under the Creatve Commons Attrbuton Lcense, whch permts unrestrcted use, dstrbuton, and reproducton n any medum, provded the orgnal wor s properly cted. We nvestgate some exstence results for the solutons to mpulsve fractonal dfferental equatons havng closed boundary condtons. Our results are based on contractng mappng prncple and Burton-Kr fxed pont theorem. 1. Introducton Ths paper consders the exstence and unqueness of the solutons to the closed boundary value problem BVP, for the followng mpulsve fractonal dfferental equaton: C D α x t f t, x t, t J : 0,T, t/, 1 <α 2, ( ( Δx I )), Δx I ( ( )), 1, 2,...,p, x T ax 0 btx 0, Tx T cx 0 dtx 0, 1.1 where C D α s Caputo fractonal dervatve, f C J R, R, I,I C R, R, Δx x ) x ), 1.2
2 2 Abstract and Appled Analyss wth x ) lm h 0 x h, x ) lm x h, h and Δx has a smlar meanng for x t, where 0 <t 1 <t 2 < <t p <t p 1 T, 1.4 a, b, c,andd are real constants wth Δ : c 1 b 1 a 1 d / 0. The boundary value problems for nonlnear fractonal dfferental equatons have been addressed by several researchers durng last decades. That s why, the fractonal dervatves serve an excellent tool for the descrpton of heredtary propertes of varous materals and processes. Actually, fractonal dfferental equatons arse n many engneerng and scentfc dscplnes such as, physcs, chemstry, bology, electrochemstry, electromagnetc, control theory, economcs, sgnal and mage processng, aerodynamcs, and porous meda see 1 7. For some recent development, see, for example, On the other hand, theory of mpulsve dfferental equatons for nteger order has become mportant and found ts extensve applcatons n mathematcal modelng of phenomena and practcal stuatons n both physcal and socal scences n recent years. One can see a notceable development n mpulsve theory. For nstance, for the general theory and applcatons of mpulsve dfferental equatons we refer the readers to Moreover, boundary value problems for mpulsve fractonal dfferental equatons have been studed by some authors see and references theren. However, to the best of our nowledge, there s no study consderng closed boundary value problems for mpulsve fractonal dfferental equatons. Here, we notce that the closed boundary condtons n 1.1 nclude quas-perodc boundary condtons b c 0 and nterpolate between perodc a d 1,b c 0 and antperodc a d 1,b c 0 boundary condtons. Motvated by the mentoned recent wor above, n ths study, we nvestgate the exstence and unqueness of solutons to the closed boundary value problem for mpulsve fractonal dfferental equaton 1.1. Throughout ths paper, n Secton 2, we present some notatons and prelmnary results about fractonal calculus and dfferental equatons to be used n the followng sectons. In Secton 3, we dscuss some exstence and unqueness results for solutons of BVP 1.1, that s, the frst one s based on Banach s fxed pont theorem, the second one s based on the Burton-Kr fxed pont theorem. At the end, we gve an llustratve example for our results. 2. Prelmnares Let us set J 0 0,t 1, J 1 t 1,t 2,...,J 1 1,, J, 1, J : 0,T \{t 1,t 2,...,t p } and ntroduce the set of functons: PC J, R {x : J R : x C, 1,R, 0, 1, 2,...,p and there exst x t and x t, 1, 2,...,pwth x x } and PC 1 J, R {x PC J, R, x C, 1,R, 0, 1, 2,...,p and there exst x t and x t, 1, 2,...,p wth x t x } whch s a Banach space wth the norm x sup t J { x PC, x PC } where x PC : sup{ x t : t J}. The followng defntons and lemmas were gven n 4.
3 Abstract and Appled Analyss 3 Defnton 2.1. The fractonal arbtrary order ntegral of the functon h L 1 J, R of order α R s defned by I α 0 h t 1 0 t s α1 h s ds, 2.1 where Γ s the Euler gamma functon. Defnton 2.2. For a functon h gven on the nterval J, Caputo fractonal dervatve of order α>0 s defned by C D α 0 h t 1 Γ n α 0 t s nα1 h n s ds, n α 1, 2.2 where the functon h t has absolutely contnuous dervatves up to order n 1. Lemma 2.3. Let α>0, then the dfferental equaton C D α h t has solutons h t c 0 c 1 t c 2 t 2 c n1 t n1, c R, 0, 1, 2,...,n 1, n α The followng lemma was gven n 4, 10. Lemma 2.4. Let α>0, then I αc D α h t h t c 0 c 1 t c 2 t 2 c n1 t n1, 2.5 for some c R, 0, 1, 2,...,n 1, n α The followng theorem s nown as Burton-Kr fxed pont theorem and proved n Theorem 2.5. Let X be a Banach space and A, D : X X two operators satsfyng: a A s a contracton, and b D s completely contnuous. Then ether the operator equaton x A x D x has a soluton, or the set ε {x X : x λa x/λ λd x } s unbounded for λ 0, 1. Theorem 2.6 see 22, Banach s fxed pont theorem. Let S be a nonempty closed subset of a Banach space X, then any contracton mappng T of S nto tself has a unque fxed pont.
4 4 Abstract and Appled Analyss Next we prove the followng lemma. Lemma 2.7. Let 1 <α 2 and let h : J R be contnuous. A functon x t s a soluton of the fractonal ntegral equaton: x t 0 t s α1 h s ds Ω 1 t Λ 1 Ω 2 t Λ 2, t J 0 α1 t s h s ds 1 Ω 1 t T Ω 1 t Ω 2 t t 1 t t 1 t 1 t 1 α2 α1 t s h s ds α2 t s Γ α 1 h s ds t s 1 Ω 1 t Γ α 1 h s ds Ω 1 t [ α2 T s Ω 2 t Γ α 1 h s ds 1 Ω ( ( )) 1 t I I 1 )) Ω 1 t 1 t t I ( ( )) 1 Ω2 t I ( ( ( ( )), t J, 1, 2,...,p T t I α1 T s h s ds ( ( )) ] 2.6 f and only f x t s a soluton of the fractonal BVP C D α x t h t, t J, ( ( Δx I )), Δx I ( ( )), x T ax 0 btx 0, Tx T cx 0 dtx 0, 2.7 where Λ 1 : α1 T s h s ds t 1 α1 t s h s ds T t 1 α2 1 t s Γ α 1 h s ds ( ( )) 1 I T t I )) I t t 1 )), α2 t s Γ α 1 h s ds
5 Abstract and Appled Analyss 5 Λ 2 : α2 T s Γ α 1 h s ds t 1 1 d Ω 1 t : Δ ct TΔ, Ω 2 t : 1 b T Δ α2 1 t s Γ α 1 h s ds I ( ( )), 1 a t Δ. 2.8 Proof. Let x be the soluton of 2.7.Ift J 0, then Lemma 2.4 mples that x t I α t s α1 h t c 0 c 1 t h s ds c 0 c 1 t, 0 x t s α2 t Γ α 1 h s ds c 1, for some c 0,c 1 R. If t J 1, then Lemma 2.4 mples that x t t 1 x t α1 t s h s ds d 0 d 1 t t 1, t 1 α2 t s Γ α 1 h s ds d 1, 2.10 for some d 0,d 1 R. Thus we have x ( t ) t1 1 x ( t ) t1 1 α1 t 1 s h s ds c 0 c 1 t 1, x 1) d0, α2 t 1 s Γ α 1 h s ds c 1, x ) 1 d Observng that Δx t 1 x 1 ) ( ) ( ( 1 I1 1)), Δx t 1 x 1) x ) ( ( 1 I 1 1)), 2.12
6 6 Abstract and Appled Analyss then we have d 0 1 d 1 1 α1 t 1 s ( ( h s ds c 0 c 1 t 1 I 1 1)), α2 t 1 s Γ α 1 h s ds c 1 I ( ( )) 1, hence, for t t 1,t 2, x t x t t 1 α1 t s t1 h s ds t t 1 t 1 1 α1 t 1 s h s ds α2 t 1 s Γ α 1 h s ds I ( ( 1 1)) t t1 I ( ( 1 1)) c0 c 1 t, α2 t s t1 Γ α 1 h s ds α2 t 1 s Γ α 1 h s ds ( ( I 1 1)) c If t J 2, then Lemma 2.4 mples that x t t 2 x t α1 t s h s ds e 0 e 1 t t 2, t 2 α2 t s Γ α 1 h s ds e 1, 2.15 for some e 0,e 1 R. Thus we have x ( t ) t2 2 t 1 x 2) e0, α1 t 2 s t1 h s ds t 2 t 1 1 α1 t 1 s h s ds α2 t 1 s Γ α 1 h s ds I ( ( 1 1)) t2 t 1 I ( ( 1 1)) c0 c 1 t 2, 2.16 x ( t ) t2 2 t 1 x 2) e1. α2 t 2 s t1 Γ α 1 h s ds α2 t 1 s Γ α 1 h s ds ( ( I 1 1)) c1, Smlarly we observe that Δx t 2 x ( ) ( ( 2) 2 I2 2)), Δx t 2 x 2) ( x t ) ( ( 2 I 2 2)), 2.17
7 Abstract and Appled Analyss 7 thus we have Hence, for t t 2,t 3, e 0 x ) ( ( 2 I2 e 1 x 2 ) I 2 2 2)), )) x t t 2 α1 t s t1 h s ds t 2 t 1 t t 2 1 [1 α2 t 1 s Γ α 1 h s ds α1 t 1 s t2 Γ α 1 h s ds t 1 ( ( )) ( ( I 1 1 I2 2)) t t1 I 1 α1 t 1 s t2 h s ds t 1 ] α1 t 2 s Γ α 1 h s ds 1 )) I 2 α1 t 2 s h s ds ( t 2)) c0 c 1 t By a smlar process, f t J, then agan from Lemma 2.4 we get x t x t α1 t s h s ds t s t { t 1 ( ( )) 1 I t 1 α1 t s h s ds α2 1 Γ α 1 h s ds t t I α2 t s Γ α 1 h s ds t 1 )) I t t 1 )) c0 c 1 t, α2 1 t s Γ α 1 h s ds I α2 t s Γ α 1 h s ds ( ( )) c Now f we apply the condtons: x T ax 0 btx 0, Tx T cx 0 dtx 0, 2.21 we have Λ 1 1 a c 0 T 1 b c 1, Λ 2 c T c 0 1 d c 1, c 0 1 d Λ 1 Δ 1 b TΛ 2, Δ 2.22 c 1 cλ 1 TΔ 1 a Λ 2. Δ
8 8 Abstract and Appled Analyss In vew of the relatons 2.8, when the values of c 0 and c 1 are replaced n 2.9 and 2.20, the ntegral equaton 2.7 s obtaned. Conversely, assume that x satsfes the mpulsve fractonal ntegral equaton 2.6, then by drect computaton, t can be seen that the soluton gven by 2.6 satsfes 2.7. The proof s complete. 3. Man Results Defnton 3.1. A functon x PC 1 J, R wth ts α-dervatve exstng on J s sad to be a soluton of 1.1, fx satsfes the equaton C D α x t f t, x t on J and satsfes the condtons: ( ( Δx I )), Δx I ( ( )), x T ax 0 btx 0, Tx T cx 0 dtx For the sae of convenence, we defne Ω 1 sup t J Ω 1 t, Ω 2 sup Ω 2 t, Ω 1 sup Ω 1 t, t J t J 2 sup Ω 2 t. Ω t J 3.2 The followngs are man results of ths paper. Theorem 3.2. Assume that A1 the functon f : J R R s contnuous and there exsts a constant L 1 > 0 such that f t, u f t, v L 1 u v, for all t J, and u, v R, A2 I, I : R R are contnuous, and there exst constants L 2 > 0 and L 3 > 0 such that I u I v L 2 u v, I u I v L 3 u v for each u, v R and 1, 2,...,p. Moreover, consder the followng: [ L1 T α Γ α 1 ( )( ) 1 Ω L 1 T α1 ( ) 1 1 p 2pα Ω 2 1 p ( ] 1 Ω )( ) ( 1 pl2 L 3 Ω 1 T Ω 2 T) pl 3 < Then, BVP 1.1 has a unque soluton on J. Proof. Defne an operator F : PC 1 J, R PC 1 J, R by Fx t α1 t s f s, x s ds 1 Ω 1 t T Ω 1 t Ω 2 t t t 1 t 1 α1 t s f s, x s ds α2 t s f s, x s ds Γ α 1
9 Abstract and Appled Analyss 9 1 Ω 1 t Ω 1 t Ω 2 t Ω 1 t 1 1 t t 1 α1 T s f s, x s ds α2 t s f s, x s ds Γ α 1 α2 T s Γ α 1 f s, x s ds 1 Ω 1 t T t I ( ( )) 1 Ω2 t I [ I )) I ( ( )) 1 t t I ( ( )) ] ( ( )). 3.4 Now, for x, y PC J, R and for each t J,weobtan Fx t ( Fy ) t t s α1 ( ) f s, x s f s, y s ds 1 Ω 1 t t 1 t s α1 ( ) f s, x s f s, y s ds T Ω 1 t Ω 2 t t t 1 α2 t s ( ) f s, x s f s, y s ds Γ α 1 1 Ω 1 t Ω 1 t Ω 2 t 1 T s t t 1 α1 α2 t s f s, x s f ( s, y s ) ds Γ α 1 ( ) f s, x s f s, y s ds α2 T s ( ) f s, x s f s, y s ds Γ α 1 [ ( ( )) ( ( )) ( ( 1 Ω 1 t I I y t I Ω 1 t Ω 2 t t t I T t I I )) I )) I )) I ( y ( y )) )), ( ( )) y t )) I ] ( ( )) y t
10 10 Abstract and Appled Analyss [ ( ) Fx t Fy t L1 T α ( )( ) 1 Ω L 1 T α1 ( ) 1 1 p 2pα Γ α 1 Ω 2 1 p ( ] 1 Ω )( ) ( 1 pl2 L 3 Ω x s 1 T Ω 2 T) pl 3 y s. 3.5 Therefore, by 3.3, the operator F s a contracton mappng. In a consequence of Banach s fxed theorem, the BVP 1.1 has a unque soluton. Now, our second result reles on the Burton-Kr fxed pont theorem. Theorem 3.3. Assume that (A1)-(A2) hold, and A3 there exst constants M 1 > 0, M 2 > 0, M 3 > 0 such that f t, u M 1, I u M 2, I u M 3 for each u, v R and 1, 2,...,p. Then the BVP 1.1 has at least one soluton on J. Proof. We defne the operators A, D : PC 1 J, R PC 1 J, R by Ax t 1 Ω 1 t Dx t Ω 1 t 1 [ I T t I )) I ( ( )) ] ( ( )) 1 Ω2 t I α1 t s f s, x s ds 1 Ω 1 t T Ω 1 t Ω 2 t t t 1 ( ( )) 1 t t I t 1 ( ( )), α1 t s f s, x s ds α2 t s f s, x s ds Γ α Ω 1 t 1 t t 1 α2 t s f s, x s ds Γ α 1 Ω 1 t α1 T s f s, x s ds Ω 2 t α2 T s f s, x s ds. Γ α 1 It s obvous that A s contracton mappng for ( )( ) ( 1 Ω 1 pl2 L 3 Ω 1 T Ω 2 T) pl 3 < Now, n order to chec that D s completely contnuous, let us follow the sequence of the followng steps.
11 Abstract and Appled Analyss 11 Step 1 D s contnuous.let{x n } be a sequence such that x n x n PC J, R. Then for t J, we have Dx n t Dx t t s α1 f s, xn s f s, x s ds 1 Ω 1 t t 1 t s α1 f s, x n s f s, x s ds T Ω 1 t Ω 2 t t t 1 α2 t s f s, xn s f s, x s ds Γ α 1 1 Ω 1 t Ω 1 t Ω 2 t 1 T s t t 1 α1 α2 t s f s, xn s f s, x s ds Γ α 1 f s, xn s f s, x s ds α2 T s f s, x n s f s, x s ds. Γ α Snce f s contnuous functon, we get Dx n t Dx t 0 as n. 3.9 Step 2 D maps bounded sets nto bounded sets n PC J, R. Indeed, t s enough to show that for any r>0, there exsts a postve constant l such that for each x B r {x PC J, R : x r}, we have D x l. By A3, we have for each t J, Dx t t s α1 f s, x s ds 1 Ω 1 t t 1 t s α1 T Ω 1 t Ω 2 t t 1 Ω 1 t 1 t t 1 f s, x s ds t 1 α2 t s f s, x s ds Γ α 1 α2 t s f s, x s ds Γ α 1
12 12 Abstract and Appled Analyss Ω 1 t T s α1 f s, x s ds Ω 2 t α2 T s f s, x s ds, Γ α 1 D x M 1T α ( )( ) 1 Ω M 1 T α1 1 1 p 2pα Ω ) Γ α 1 2( 1 p : l Step 3 D maps bounded sets nto equcontnuous sets n PC 1 J, R. Letτ 1,τ 2 J, 0 p wth τ 1 <τ 2 and let B r be a bounded set of PC 1 J, R as n Step 2, and let x B r. Then ( Dy ) τ 2 D τ 1 τ2 ( Dy ) ds s L τ2 τ 1, τ where Dx t α2 t s f s, x s ds Ω 1 Γ α 1 t T t Ω 1 t Ω 2 t 1 Ω 1 t 1 Ω 1 t t t 1 T s α1 t 1 t 1 t s α1 α2 t s f s, x s ds Γ α 1 α2 t s f s, x s ds Γ α 1 f s, x s ds Ω 2 t f s, x s ds α2 T s f s, x s ds, Γ α 1 M 1T α Γ α 1 Ω 1 ( 1 p 2pα ) M 1 T α1 ( 1 Ω 2)( 1 p ) : L Ths mples that A s equcontnuous on all the subntervals J, 0, 1, 2,...,p. Therefore, by the Arzela-Ascol Theorem, the operator D : PC 1 J, R PC 1 J, R s completely contnuous. To conclude the exstence of a fxed pont of the operator A D, t remans to show that the set ε { ) } x X : x λa λd x for some λ 0, 1 λ 3.13 s bounded. Let x ε, for each t J, ) x t λd x t λa t. λ 3.14
13 Abstract and Appled Analyss 13 Hence, from A3, we have x t λ t s α1 f s, x s ds λ 1 Ω 1 t λ T Ω 1 t Ω 2 t t t 1 t 1 t s α1 f s, x s ds α2 t s f s, x s ds Γ α 1 1 t t 1 α2 t s λ 1 Ω 1 t f s, x s ds Γ α 1 α1 T s T α2 λ Ω 1 t f s, x s ds T s λ Ω2 t f s, x s ds Γ α 1 [ ( ( )) t ( ))] λ 1 Ω 1 t I λ I λ ( 1 ( )) λ Ω 1 t T t I λ ( 1 ( )) t 1 λ Ω 2 t I λ λ ( )) t t I λ, 3.15 x t [ M1 T α Γ α 1 ( 1 Ω 1 )( 1 p 2pα ) M 1 T α1 Ω ( ) 2 1 p ( 1 Ω )( ) ( 1 pm2 M 3 Ω 1 T Ω 2 T) pm 3 ]. Consequently, we conclude the result of our theorem based on the Burton-Kr fxed pont theorem. 4. An Example Consder the followng mpulsve fractonal boundary value problem: C D 3/2 x t ( ) 1 Δx 3 sn 2t x t t x t, t 0, 1, t / 1 3, x 1 /3 15 x 1 /3, Δx ( ) 1 3 x 1 /3 10 x 1 /3, 4.1 x 1 5x 0 2x 0, x 1 x 0 4x 0.
14 14 Abstract and Appled Analyss Here, a 5, b 2, c 1, d 4, α 3/2, T 1, p 1. Obvously, L 1 1/25, L 2 1/15, L 3 1/10, Ω 1 4/15, Ω 2 7/15. Further, [ L1 T α Γ α 1 ] ( )( ) 1 Ω L 1 T α1 ( ) ( 1 1 p 1 L2 2pα L 3 Ω 2 1 p Ω 1 T Ω 2 T) pl π < Snce the assumptons of Theorem 3.2 are satsfed, the closed boundary value problem 4.1 has a unque soluton on 0, 1. Moreover, t s easy to chec the concluson of Theorem 3.3. Acnowledgments The authors would le to express ther sncere thans and grattude to the revewer s for ther valuable comments and suggestons for the mprovement of ths paper. The second author also gratefully acnowledges that ths research was partally supported by the Unversty Putra Malaysa under the Research Unversty Grant Scheme RU. References 1 K. Dethelm, The Analyss of Fractonal Dfferental Equatons, Sprnger, N. Heymans and I. Podlubny, Physcal nterpretaton of ntal condtons for fractonal dfferental equatonswth Remann Louvlle fractonal dervatves, Rheologca Acta, vol. 45, no. 5, pp , R. Hlfer, Applcatons of Fractonal Calculus n Physcs, World Scentfc, Sngapore, A. A. Klbas, H. M. Srvastava, and J. J. Trujllo, Theory and Applcatons of Fractonal Dfferental Equatons, vol. 204 of North-Holland Mathematcs Studes, Elsever Scence B.V., Amsterdam, The Netherlands, V. Lashmantham, S. Leela, and J. Vasundhara Dev, Theory of Fractonal Dynamc Systems, Cambrdge Academc Publshers, Cambrdge, UK, J. Sabater, O. P. Agrawal, and J. A. T. Machado, Eds., Advances n Fractonal Calculus: Theoretcal Developmentsand Applcatons n Physcs and Engneerng, Sprnger, Dordrecht, The Netherlands, S. G. Samo, A. A. Klbas, and O. I. Marchev, Fractonal Integrals and Dervatves. Theory and Applcatons, Gordon and Breach Scence, Yverdon, Swtzerland, R. P. Agarwal, M. Benchohra, and S. Haman, Boundary value problems for fractonal dfferental equatons, Georgan Mathematcal Journal, vol. 16, no. 3, pp , R. P. Agarwal, M. Benchohra, and S. Haman, A survey on exstence results for boundary value problems of nonlnear fractonal dfferentalequatons and nclusons, Acta Applcandae Mathematcae, vol. 109, no. 3, pp , Z. Ba and H. Lü, Postve solutons for boundary value problem of nonlnear fractonal dfferental equaton, Journal of Mathematcal Analyss and Applcatons, vol. 311, no. 2, pp , M. Belme, J. J. Neto, and R. Rodríguez-López, Exstence of perodc soluton for a nonlnear fractonal dfferental equaton, Boundary Value Problems, vol. 2009, Artcle ID , 18 pages, M. Benchohra, S. Haman, and S. K. Ntouyas, Boundary value problems for dfferental equatons wth fractonal order and nonlocal condtons, Nonlnear Analyss, vol. 71, no. 7-8, pp , H. A. H. Salem, On the fractonal order m-pont boundary value problem n reflexve Banach spaces and wea topologes, Journal of Computatonal and Appled Mathematcs, vol. 224, no. 2, pp , W. Zhong and W. Ln, Nonlocal and multple-pont boundary value problem for fractonal dfferental equatons, Computers & Mathematcs wth Applcatons, vol. 59, no. 3, pp , 2010.
15 Abstract and Appled Analyss V. Lashmantham, D. D. Baĭnov,andP.S.Smeonov,Theory of Impulsve Dfferental Equatons, World Scentfc, Sngapore, Y. V. Rogovcheno, Impulsve evoluton systems: man results and new trends, Dynamcs of Contnuous, Dscrete and Impulsve Systems, vol. 3, no. 1, pp , A. M. Samoĭleno and N. A. Perestyu, Impulsve Dfferental Equatons, World Scentfc, Sngapore, B. Ahmad and S. Svasundaram, Exstence of solutons for mpulsve ntegral boundary value problems of fractonal order, Nonlnear Analyss, vol. 4, no. 1, pp , M. Benchohra and B. A. Slman, Exstence and unqueness of solutons to mpulsve fractonal dfferental equatons, Electronc Journal of Dfferental Equatons, vol. 10, pp. 1 11, G. Wang, B. Ahmad, and L. Zhang, Some exstence results for mpulsve nonlnear fractonal dfferental equatons wth mxed boundary condtons, Computers & Mathematcs wth Applcatons, vol. 62, no. 3, pp , T. A. Burton and C. Kr, A fxed pont theorem of Krasnosels-Schaefer type, Mathematsche Nachrchten, vol. 189, pp , A. Granas and J. Dugundj, Fxed Pont Theory, Sprnger Monographs n Mathematcs, Sprnger, New Yor, NY, USA, 2003.
16 Advances n Operatons Research Hndaw Publshng Corporaton Advances n Decson Scences Hndaw Publshng Corporaton Journal of Appled Mathematcs Algebra Hndaw Publshng Corporaton Hndaw Publshng Corporaton Journal of Probablty and Statstcs The Scentfc World Journal Hndaw Publshng Corporaton Hndaw Publshng Corporaton Internatonal Journal of Dfferental Equatons Hndaw Publshng Corporaton Submt your manuscrpts at Internatonal Journal of Advances n Combnatorcs Hndaw Publshng Corporaton Mathematcal Physcs Hndaw Publshng Corporaton Journal of Complex Analyss Hndaw Publshng Corporaton Internatonal Journal of Mathematcs and Mathematcal Scences Mathematcal Problems n Engneerng Journal of Mathematcs Hndaw Publshng Corporaton Hndaw Publshng Corporaton Hndaw Publshng Corporaton Dscrete Mathematcs Journal of Hndaw Publshng Corporaton Dscrete Dynamcs n Nature and Socety Journal of Functon Spaces Hndaw Publshng Corporaton Abstract and Appled Analyss Hndaw Publshng Corporaton Hndaw Publshng Corporaton Internatonal Journal of Journal of Stochastc Analyss Optmzaton Hndaw Publshng Corporaton Hndaw Publshng Corporaton
The descriptive complexity of the family of Banach spaces with the π-property
Arab. J. Math. (2015) 4:35 39 DOI 10.1007/s40065-014-0116-3 Araban Journal of Mathematcs Ghadeer Ghawadrah The descrptve complexty of the famly of Banach spaces wth the π-property Receved: 25 March 2014
More information8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by
6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng
More informationRecurrence. 1 Definitions and main statements
Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.
More information1 Example 1: Axis-aligned rectangles
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton
More informationPERRON FROBENIUS THEOREM
PERRON FROBENIUS THEOREM R. CLARK ROBINSON Defnton. A n n matrx M wth real entres m, s called a stochastc matrx provded () all the entres m satsfy 0 m, () each of the columns sum to one, m = for all, ()
More informationDuality for nonsmooth mathematical programming problems with equilibrium constraints
uu et al. Journal of Inequaltes and Applcatons (2016) 2016:28 DOI 10.1186/s13660-016-0969-4 R E S E A R C H Open Access Dualty for nonsmooth mathematcal programmng problems wth equlbrum constrants Sy-Mng
More informationNON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia
To appear n Journal o Appled Probablty June 2007 O-COSTAT SUM RED-AD-BLACK GAMES WITH BET-DEPEDET WI PROBABILITY FUCTIO LAURA POTIGGIA, Unversty o the Scences n Phladelpha Abstract In ths paper we nvestgate
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More informationProduction. 2. Y is closed A set is closed if it contains its boundary. We need this for the solution existence in the profit maximization problem.
Producer Theory Producton ASSUMPTION 2.1 Propertes of the Producton Set The producton set Y satsfes the followng propertes 1. Y s non-empty If Y s empty, we have nothng to talk about 2. Y s closed A set
More informationOn Lockett pairs and Lockett conjecture for π-soluble Fitting classes
On Lockett pars and Lockett conjecture for π-soluble Fttng classes Lujn Zhu Department of Mathematcs, Yangzhou Unversty, Yangzhou 225002, P.R. Chna E-mal: ljzhu@yzu.edu.cn Nanyng Yang School of Mathematcs
More informationAn Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems
STAN-CS-73-355 I SU-SE-73-013 An Analyss of Central Processor Schedulng n Multprogrammed Computer Systems (Dgest Edton) by Thomas G. Prce October 1972 Techncal Report No. 57 Reproducton n whole or n part
More informationA Probabilistic Theory of Coherence
A Probablstc Theory of Coherence BRANDEN FITELSON. The Coherence Measure C Let E be a set of n propostons E,..., E n. We seek a probablstc measure C(E) of the degree of coherence of E. Intutvely, we want
More informationThe Application of Fractional Brownian Motion in Option Pricing
Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com
More informationA hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm
Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel
More informationSupport Vector Machines
Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.
More informationResearch Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization
Hndaw Publshng Corporaton Mathematcal Problems n Engneerng Artcle ID 867836 pages http://dxdoorg/055/204/867836 Research Artcle Enhanced Two-Step Method va Relaxed Order of α-satsfactory Degrees for Fuzzy
More informationGlobal stability of Cohen-Grossberg neural network with both time-varying and continuous distributed delays
Global stablty of Cohen-Grossberg neural network wth both tme-varyng and contnuous dstrbuted delays José J. Olvera Departamento de Matemátca e Aplcações and CMAT, Escola de Cêncas, Unversdade do Mnho,
More informationBERNSTEIN POLYNOMIALS
On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful
More informationFisher Markets and Convex Programs
Fsher Markets and Convex Programs Nkhl R. Devanur 1 Introducton Convex programmng dualty s usually stated n ts most general form, wth convex objectve functons and convex constrants. (The book by Boyd and
More informationLoop Parallelization
- - Loop Parallelzaton C-52 Complaton steps: nested loops operatng on arrays, sequentell executon of teraton space DECLARE B[..,..+] FOR I :=.. FOR J :=.. I B[I,J] := B[I-,J]+B[I-,J-] ED FOR ED FOR analyze
More informationv a 1 b 1 i, a 2 b 2 i,..., a n b n i.
SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 455 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces we have studed thus far n the text are real vector spaces snce the scalars are
More informationAn Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More informationCan Auto Liability Insurance Purchases Signal Risk Attitude?
Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang
More informationRing structure of splines on triangulations
www.oeaw.ac.at Rng structure of splnes on trangulatons N. Vllamzar RICAM-Report 2014-48 www.rcam.oeaw.ac.at RING STRUCTURE OF SPLINES ON TRIANGULATIONS NELLY VILLAMIZAR Introducton For a trangulated regon
More informationOn fourth order simultaneously zero-finding method for multiple roots of complex polynomial equations 1
General Mathematcs Vol. 6, No. 3 (2008), 9 3 On fourth order smultaneously zero-fndng method for multple roots of complex polynomal euatons Nazr Ahmad Mr and Khald Ayub Abstract In ths paper, we present
More informationTHE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES
The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered
More informationExtending Probabilistic Dynamic Epistemic Logic
Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set
More informationWe are now ready to answer the question: What are the possible cardinalities for finite fields?
Chapter 3 Fnte felds We have seen, n the prevous chapters, some examples of fnte felds. For example, the resdue class rng Z/pZ (when p s a prme) forms a feld wth p elements whch may be dentfed wth the
More informationLuby s Alg. for Maximal Independent Sets using Pairwise Independence
Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent
More informationProject Networks With Mixed-Time Constraints
Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa
More informationPower-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts
Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)
More informationA Secure Password-Authenticated Key Agreement Using Smart Cards
A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationProduct-Form Stationary Distributions for Deficiency Zero Chemical Reaction Networks
Bulletn of Mathematcal Bology (21 DOI 1.17/s11538-1-9517-4 ORIGINAL ARTICLE Product-Form Statonary Dstrbutons for Defcency Zero Chemcal Reacton Networks Davd F. Anderson, Gheorghe Cracun, Thomas G. Kurtz
More informationINTERPRETING TRUE ARITHMETIC IN THE LOCAL STRUCTURE OF THE ENUMERATION DEGREES.
INTERPRETING TRUE ARITHMETIC IN THE LOCAL STRUCTURE OF THE ENUMERATION DEGREES. HRISTO GANCHEV AND MARIYA SOSKOVA 1. Introducton Degree theory studes mathematcal structures, whch arse from a formal noton
More informationStability, observer design and control of networks using Lyapunov methods
Stablty, observer desgn and control of networks usng Lyapunov methods von Lars Naujok Dssertaton zur Erlangung des Grades enes Doktors der Naturwssenschaften - Dr. rer. nat. - Vorgelegt m Fachberech 3
More informationEmbedding lattices in the Kleene degrees
F U N D A M E N T A MATHEMATICAE 62 (999) Embeddng lattces n the Kleene degrees by Hsato M u r a k (Nagoya) Abstract. Under ZFC+CH, we prove that some lattces whose cardnaltes do not exceed ℵ can be embedded
More informationA Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression
Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,
More informationwhere the coordinates are related to those in the old frame as follows.
Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product
More informationOptimal resource capacity management for stochastic networks
Submtted for publcaton. Optmal resource capacty management for stochastc networks A.B. Deker H. Mlton Stewart School of ISyE, Georga Insttute of Technology, Atlanta, GA 30332, ton.deker@sye.gatech.edu
More informationThe Noether Theorems: from Noether to Ševera
14th Internatonal Summer School n Global Analyss and Mathematcal Physcs Satellte Meetng of the XVI Internatonal Congress on Mathematcal Physcs *** Lectures of Yvette Kosmann-Schwarzbach Centre de Mathématques
More informationHow Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence
1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh
More informationn + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)
MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total
More informationTesting and Debugging Resource Allocation for Fault Detection and Removal Process
Internatonal Journal of New Computer Archtectures and ther Applcatons (IJNCAA) 4(4): 93-00 The Socety of Dgtal Informaton and Wreless Communcatons, 04 (ISSN: 0-9085) Testng and Debuggng Resource Allocaton
More informationResearch Article A Time Scheduling Model of Logistics Service Supply Chain with Mass Customized Logistics Service
Hndaw Publshng Corporaton Dscrete Dynamcs n Nature and Socety Volume 01, Artcle ID 48978, 18 pages do:10.1155/01/48978 Research Artcle A Tme Schedulng Model of Logstcs Servce Supply Chan wth Mass Customzed
More informationStudy on Model of Risks Assessment of Standard Operation in Rural Power Network
Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,
More informationConversion between the vector and raster data structures using Fuzzy Geographical Entities
Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,
More informationA Practical Method for Weak Stationarity Test of Network Traffic with Long-Range Dependence
A Practcal Method for Weak Statonarty Test of Network Traffc wth ong-range Dependence MING I, YUN-YUN ZHANG 2, WEI ZHAO 3 School of Informaton Scence & Technology East Chna Normal Unversty No. 5, Dong-Chuan
More informationLinear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits
Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.
More informationAn Interest-Oriented Network Evolution Mechanism for Online Communities
An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne
More informationRisk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008
Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn
More informationThe program for the Bachelor degrees shall extend over three years of full-time study or the parttime equivalent.
Bachel of Commerce Bachel of Commerce (Accountng) Bachel of Commerce (Cpate Fnance) Bachel of Commerce (Internatonal Busness) Bachel of Commerce (Management) Bachel of Commerce (Marketng) These Program
More informationWhen Network Effect Meets Congestion Effect: Leveraging Social Services for Wireless Services
When Network Effect Meets Congeston Effect: Leveragng Socal Servces for Wreless Servces aowen Gong School of Electrcal, Computer and Energy Engeerng Arzona State Unversty Tempe, AZ 8587, USA xgong9@asuedu
More informationOn the Optimal Control of a Cascade of Hydro-Electric Power Stations
On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;
More informationDamage detection in composite laminates using coin-tap method
Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the
More informationEquation of motion for incompressible mixed fluid driven by evaporation and its application to online rankings
Equaton of moton for ncompressble mxed flud drven by evaporaton and ts applcaton to onlne rankngs Kumko Hattor Department of Mathematcs and Informaton Scences, Tokyo Metropoltan Unversty, Hacho, Tokyo
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More information"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *
Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC
More informationPSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12
14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed
More informationResearch Article A Comparative Study of Marketing Channel Multiagent Stackelberg Model Based on Perfect Rationality and Fairness Preference
Hndaw Publshng Corporaton Abstract and Appled Analyss, Artcle ID 57458, 11 pages http://dx.do.org/10.1155/014/57458 Research Artcle A Comparatve Study of Marketng Channel Multagent Stackelberg Model Based
More informationPerformance Management and Evaluation Research to University Students
631 A publcaton of CHEMICAL ENGINEERING TRANSACTIONS VOL. 46, 2015 Guest Edtors: Peyu Ren, Yancang L, Hupng Song Copyrght 2015, AIDIC Servz S.r.l., ISBN 978-88-95608-37-2; ISSN 2283-9216 The Italan Assocaton
More informationANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING
ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,
More informationREGULAR MULTILINEAR OPERATORS ON C(K) SPACES
REGULAR MULTILINEAR OPERATORS ON C(K) SPACES FERNANDO BOMBAL AND IGNACIO VILLANUEVA Abstract. The purpose of ths paper s to characterze the class of regular contnuous multlnear operators on a product of
More informationModule 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..
More informationGeneralizing the degree sequence problem
Mddlebury College March 2009 Arzona State Unversty Dscrete Mathematcs Semnar The degree sequence problem Problem: Gven an nteger sequence d = (d 1,...,d n ) determne f there exsts a graph G wth d as ts
More informationEnergies of Network Nastsemble
Supplementary materal: Assessng the relevance of node features for network structure Gnestra Bancon, 1 Paolo Pn,, 3 and Matteo Marsl 1 1 The Abdus Salam Internatonal Center for Theoretcal Physcs, Strada
More informationEconomic Models for Cloud Service Markets
Economc Models for Cloud Servce Markets Ranjan Pal and Pan Hu 2 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de Abstract. Cloud computng
More informationImperial College London
F. Fang 1, C.C. Pan 1, I.M. Navon 2, M.D. Pggott 1, G.J. Gorman 1, P.A. Allson 1 and A.J.H. Goddard 1 1 Appled Modellng and Computaton Group Department of Earth Scence and Engneerng Imperal College London,
More informationJ. Parallel Distrib. Comput.
J. Parallel Dstrb. Comput. 71 (2011) 62 76 Contents lsts avalable at ScenceDrect J. Parallel Dstrb. Comput. journal homepage: www.elsever.com/locate/jpdc Optmzng server placement n dstrbuted systems n
More informationHow Much to Bet on Video Poker
How Much to Bet on Vdeo Poker Trstan Barnett A queston that arses whenever a gae s favorable to the player s how uch to wager on each event? Whle conservatve play (or nu bet nzes large fluctuatons, t lacks
More informationForecasting the Direction and Strength of Stock Market Movement
Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems
More informationPerformance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application
Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,
More informationTHE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek
HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo
More informationLaws of Electromagnetism
There are four laws of electromagnetsm: Laws of Electromagnetsm The law of Bot-Savart Ampere's law Force law Faraday's law magnetc feld generated by currents n wres the effect of a current on a loop of
More informationRate Monotonic (RM) Disadvantages of cyclic. TDDB47 Real Time Systems. Lecture 2: RM & EDF. Priority-based scheduling. States of a process
Dsadvantages of cyclc TDDB47 Real Tme Systems Manual scheduler constructon Cannot deal wth any runtme changes What happens f we add a task to the set? Real-Tme Systems Laboratory Department of Computer
More informationHow To Understand The Results Of The German Meris Cloud And Water Vapour Product
Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller
More informationRotation Kinematics, Moment of Inertia, and Torque
Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute
More informationSeries Solutions of ODEs 2 the Frobenius method. The basic idea of the Frobenius method is to look for solutions of the form 3
Royal Holloway Unversty of London Department of Physs Seres Solutons of ODEs the Frobenus method Introduton to the Methodology The smple seres expanson method works for dfferental equatons whose solutons
More informationThe Choice of Direct Dealing or Electronic Brokerage in Foreign Exchange Trading
The Choce of Drect Dealng or Electronc Brokerage n Foregn Exchange Tradng Mchael Melvn & Ln Wen Arzona State Unversty Introducton Electronc Brokerage n Foregn Exchange Start from a base of zero n 1992
More informationResearch Article Competition and Integration in Closed-Loop Supply Chain Network with Variational Inequality
Hndaw Publshng Cororaton Mathematcal Problems n Engneerng Volume 2012, Artcle ID 524809, 21 ages do:10.1155/2012/524809 Research Artcle Cometton and Integraton n Closed-Loo Suly Chan Network wth Varatonal
More informationDEFINING %COMPLETE IN MICROSOFT PROJECT
CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,
More informationVasicek s Model of Distribution of Losses in a Large, Homogeneous Portfolio
Vascek s Model of Dstrbuton of Losses n a Large, Homogeneous Portfolo Stephen M Schaefer London Busness School Credt Rsk Electve Summer 2012 Vascek s Model Important method for calculatng dstrbuton of
More informationApplication of Quasi Monte Carlo methods and Global Sensitivity Analysis in finance
Applcaton of Quas Monte Carlo methods and Global Senstvty Analyss n fnance Serge Kucherenko, Nlay Shah Imperal College London, UK skucherenko@mperalacuk Daro Czraky Barclays Captal DaroCzraky@barclayscaptalcom
More informationFinite difference method
grd ponts x = mesh sze = X NÜÆ Fnte dfference method Prncple: dervatves n the partal dfferental eqaton are approxmated by lnear combnatons of fncton vales at the grd ponts 1D: Ω = (0, X), (x ), = 0,1,...,
More informationarxiv:1311.2444v1 [cs.dc] 11 Nov 2013
FLEXIBLE PARALLEL ALGORITHMS FOR BIG DATA OPTIMIZATION Francsco Facchne 1, Smone Sagratella 1, Gesualdo Scutar 2 1 Dpt. of Computer, Control, and Management Eng., Unversty of Rome La Sapenza", Roma, Italy.
More informationNPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6
PAR TESTS If a WEIGHT varable s specfed, t s used to replcate a case as many tmes as ndcated by the weght value rounded to the nearest nteger. If the workspace requrements are exceeded and samplng has
More informationOn Robust Network Planning
On Robust Network Plannng Al Tzghadam School of Electrcal and Computer Engneerng Unversty of Toronto, Toronto, Canada Emal: al.tzghadam@utoronto.ca Alberto Leon-Garca School of Electrcal and Computer Engneerng
More informationLecture 3: Force of Interest, Real Interest Rate, Annuity
Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and
More informationThe Power of Slightly More than One Sample in Randomized Load Balancing
The Power of Slghtly More than One Sample n Randomzed oad Balancng e Yng, R. Srkant and Xaohan Kang Abstract In many computng and networkng applcatons, arrvng tasks have to be routed to one of many servers,
More informationPeriod and Deadline Selection for Schedulability in Real-Time Systems
Perod and Deadlne Selecton for Schedulablty n Real-Tme Systems Thdapat Chantem, Xaofeng Wang, M.D. Lemmon, and X. Sharon Hu Department of Computer Scence and Engneerng, Department of Electrcal Engneerng
More informationImplied (risk neutral) probabilities, betting odds and prediction markets
Impled (rsk neutral) probabltes, bettng odds and predcton markets Fabrzo Caccafesta (Unversty of Rome "Tor Vergata") ABSTRACT - We show that the well known euvalence between the "fundamental theorem of
More informationDownlink Power Allocation for Multi-class. Wireless Systems
Downlnk Power Allocaton for Mult-class 1 Wreless Systems Jang-Won Lee, Rav R. Mazumdar, and Ness B. Shroff School of Electrcal and Computer Engneerng Purdue Unversty West Lafayette, IN 47907, USA {lee46,
More informationRobust Design of Public Storage Warehouses. Yeming (Yale) Gong EMLYON Business School
Robust Desgn of Publc Storage Warehouses Yemng (Yale) Gong EMLYON Busness School Rene de Koster Rotterdam school of management, Erasmus Unversty Abstract We apply robust optmzaton and revenue management
More information21 Vectors: The Cross Product & Torque
21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl
More informationCautiousness and Measuring An Investor s Tendency to Buy Options
Cautousness and Measurng An Investor s Tendency to Buy Optons James Huang October 18, 2005 Abstract As s well known, Arrow-Pratt measure of rsk averson explans a ratonal nvestor s behavor n stock markets
More informationPerformance Analysis and Coding Strategy of ECOC SVMs
Internatonal Journal of Grd and Dstrbuted Computng Vol.7, No. (04), pp.67-76 http://dx.do.org/0.457/jgdc.04.7..07 Performance Analyss and Codng Strategy of ECOC SVMs Zhgang Yan, and Yuanxuan Yang, School
More informationAlternate Approximation of Concave Cost Functions for
Alternate Approxmaton of Concave Cost Functons for Process Desgn and Supply Chan Optmzaton Problems Dego C. Cafaro * and Ignaco E. Grossmann INTEC (UNL CONICET), Güemes 3450, 3000 Santa Fe, ARGENTINA Department
More informationThe Distribution of Eigenvalues of Covariance Matrices of Residuals in Analysis of Variance
JOURNAL OF RESEARCH of the Natonal Bureau of Standards - B. Mathem atca l Scence s Vol. 74B, No.3, July-September 1970 The Dstrbuton of Egenvalues of Covarance Matrces of Resduals n Analyss of Varance
More informationChapter 6 Inductance, Capacitance, and Mutual Inductance
Chapter 6 Inductance Capactance and Mutual Inductance 6. The nductor 6. The capactor 6.3 Seres-parallel combnatons of nductance and capactance 6.4 Mutual nductance 6.5 Closer look at mutual nductance Oerew
More informationA Lyapunov Optimization Approach to Repeated Stochastic Games
PROC. ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, OCT. 2013 1 A Lyapunov Optmzaton Approach to Repeated Stochastc Games Mchael J. Neely Unversty of Southern Calforna http://www-bcf.usc.edu/
More information