The Journal of Nonlinear Sciences and Applications

Size: px
Start display at page:

Download "The Journal of Nonlinear Sciences and Applications"

Transcription

1 J. Nonlnear Sc. Appl. 1 (28), no. 2, The Journal of Nonlnear Scences and Applcatons BLOW-UP TIME OF SOME NONLINEAR WAVE EQUATIONS THEODORE K. BONI 1, DIABATE NABONGO 2, AND ROGER B. SERY 3 Abstract. In ths paper, we consder the followng ntal-boundary value problem u tt (x, t) = εlu(x, t) + b(t)f(u(x, t)) u(x, t) = on (, T ), n (, T ), u(x, ) = n, u t (x, ) = n, where ε s a postve parameter, b C 1 (R + ), b(t) >, b (t), t R +, f(s) s a postve, ncreasng and convex functon for nonnegatve values of s. Under some assumptons, we show that, f ε s small enough, then the soluton u of the above problem blows up n a fnte tme, and ts blow-up tme tends to that of the soluton of the followng dfferental equaton { α (t) = b(t)f(α(t)), t >, α() =, α () =. Fnally, we gve some numercal results to llustrate our analyss. 1. Introducton Let be a bounded doman n R N wth smooth boundary. Consder the followng ntal-boundary value problem u tt (x, t) = εlu(x, t) + b(t)f(u(x, t)) n (, T ), (1.1) u(x, t) = on (, T ), (1.2) u(x, ) = n, (1.3) Date: Receved: May 28; Accepted: 23 July 28. Correspondng author. 2 Mathematcs Subject Classfcaton. Prmary 35B4, 35B5; Secondary 35K6. Key words and phrases. Nonlnear wave equaton, blow-up, convergence, numercal blow-up tme. 91

2 92 THEODORE K. BONI, DIABATE NABONGO, AND ROGER B. SERY u t (x, ) = n, (1.4) where ε s a postve parameter, b C 1 (R + ), b(t) >, b (t), t R +. The operator L s defned as follows N ( Lu = a j (x) u ), x x j,j=1 where a j : R, a j C 1 (), a j = a j, 1, j N, and there exsts a constant C > such that N a j (x)ξ ξ j C ξ 2 x ξ = (ξ 1,..., ξ N ) R N,,j=1 where stands for the Eucldean norm of R N. Here (, T ) s the maxmal tme nterval of exstence of the soluton u. The tme T may be fnte or nfnte. When T s nfnte, we say that the soluton u exsts globally. When T s fnte, then the soluton u develops a sngularty n a fnte tme, namely, lm u(, t) =, t T where u(, t) = sup x u(x, t). In ths last case, we say that the soluton u blows up n a fnte tme, and the tme T s called the blow-up tme of the soluton u. Solutons of nonlnear wave equatons whch blow up n a fnte tme have been the subject of nvestgaton of many authors (see [5], [7] [9], [11] [13], [17] [19], and the references cted theren). By standard methods, local exstence, unqueness, blow-up and global exstence have been treated. In ths paper, we are nterested n the asymptotc behavor of the blow-up tme when ε s small enough. Our work was motvated by the paper of Fredman and Lacey n [6], where they have consdered the followng ntal-boundary value problem u t (x, t) = ε u(x, t) + f(u(x, t)) n (, T ), u(x, t) = on (, T ), u(x, ) = u (x) n, where s the Laplacan, f : [, ) (, ) s a C 1 convex, ncreasng functon, ds <, u f(s) (x) s a contnuous functon n. Under some addtonal condtons on the ntal data, they have shown that the soluton of the above problem blows up n a fnte tme, and ts blow-up tme tends to that of the soluton λ(t) of the followng dfferental equaton λ (t) = f(λ(t)), λ() = M, (1.5) as ε goes to zero, where M = sup x u (x). The proof developed n [6] s based on the constructon of upper and lower solutons, and t s dffcult to extend the method n [6] to the problem descrbed n (1.1) (1.4). In ths paper, we prove smlar results. More precsely, frstly, we show that when ε s small enough, then the soluton u of (1.1) (1.4) blows up

3 BLOW-UP TIME OF SOME NONLINEAR WAVE EQUATIONS 93 n a fnte tme, and ts blow-up tme tends to that of the soluton α(t) of the followng dfferental equaton α (t) = b(t)f(α(t)), α() =, α () =. (1.6) A smlar result has been obtaned by N gohsse and Bon n [15] n the case of the phenomenon of quenchng (we say that a soluton quenches n a fnte tme f t reaches a fnte sngular value n a fnte tme). Our paper s wrtten n the followng manner. In the next secton, under some assumptons, we show that the soluton u of (1.1) (1.4) blows up n a fnte tme, and ts blow-up tme goes to that of the soluton α(t) of the dfferental equaton defned n (1.6). Fnally, n the last secton, we gve some numercal results to llustrate our analyss. 2. Blow-up tmes In ths secton, under some assumptons, we show that the soluton u of (1.1) (1.4) blows up n a fnte tme, and ts blow-up tme goes to that of the soluton of the dfferental equaton defned n (1.6) when ε tends to zero. We also prove that the above result remans vald when ε s fxed, and the doman s large enough and s taken as parameter. Before startng, let us recall a well known result. Consder the followng egenvalue problem Lϕ = λϕ n, (2.1) ϕ = on, (2.2) ϕ > n. (2.3) The above problem admts a soluton (ϕ, λ) wth λ >. We can normalze ϕ so that ϕdx = 1. Our frst result s the followng. Theorem 2.1. Let A = λ ds, and assume that the soluton α(t) of the b() f(s) dfferental equaton defned n (1.6) blows up at the tme T e. If ε < A, then the soluton u of (1.1) (1.4) blows up n a fnte tme, and ts blow-up tme T satsfes the followng estmates T T e AT e 2 + o(ε). (2.4) Proof. Snce (, T ) s the maxmal tme nterval on whch the soluton u exsts, our am s to show that T s fnte and satsfes the above nequaltes. Introduce the functon v(t) defned as follows v(t) = ϕ(x)u(x, t)dx for t [, T ). Takng the dervatve of v n t, and usng (1.1), we fnd that v (t) = ε ϕ(x)lu(x, t)dx + b(t) f(u(x, t))ϕ(x)dx for t (, T ).

4 94 THEODORE K. BONI, DIABATE NABONGO, AND ROGER B. SERY Accordng to Green s formula, and makng use of (2.1), we note that Lu(x, t)ϕ(x)dx = u(x, t)lϕ(x)dx = λ ϕ(x)u(x, t)dx for t (, T ), whch mples that v (t) = λεv(t) + b(t) Jensen s nequalty renders f(u(x, t))ϕ(x)dx for t (, T ). v (t) λεv(t) + b(t)f(v(t)) for t (, T ). Ths estmate may be rewrtten n the followng manner ( v (t) b(t)f(v(t)) 1 λεv(t) ) for t (, T ). b(t)f(v(t)) We observe that b(t) b() for t (, T ), and sup t t f(t) dσ t dσ = sup f(σ) t f(σ), because f(s) s an ncreasng functon for nonnegatve values of s. Usng these observatons, we arrve at Set v (t) (1 εa)b(t)f(v(t)) for t (, T ). (2.5) ( ) t w(t) = v 1 εa for t [, 1 εat ). A straghtforward computaton reveals that ( ) t w (t) b f(w(t)) for t [, 1 εat ). 1 εa Snce b(s) s nondecreasng for nonnegatve values of s, we dscover that It s not hard to check that w (t) b(t)f(w(t)) for t [, 1 εat ). (2.6) Integrate the nequalty (2.6) over (, t) to obtan w (t) t w() = for w () =. (2.7) b(s)f(w(s))ds for t [, 1 εat ). (2.8) Recall that α(t) s the soluton of the followng dfferental equaton whch mples that α (t) = α (t) = b(t)f(α(t)), t [, T e ), α() =, α () =, t [, T e ), t b(s)f(α(s))ds for t [, T e ). (2.9)

5 BLOW-UP TIME OF SOME NONLINEAR WAVE EQUATIONS 95 Snce w() = v(), thanks to (2.8) and (2.9), an applcaton of the maxmum prncple gves w(t) α(t) for t [, T ), (2.1) where T = mn{t e, 1 εat }. We deduce that T T e 1 εat. (2.11) To prove ths estmate, we argue by contradcton. Suppose that T > Te 1 εat = T. From (2.1), we observe that w blows up at the tme T e, because w(t e ) α(t e ) =, whch mples that T e v(t ) = v( ) = w(t e ) =. (2.12) 1 εat Let us notce that u(, t) v(t) for t (, T ). Snce v blows up at the tme T, owng to the above estmate, t s easy to check that u also blows up at the tme T. But, ths contradcts the fact that (, T ) s the maxmal tme nterval of exstence of the soluton u. Now, ntroduce the functon U(t) defned as follows U(t) = max u(x, t) for t [, T ). (2.13) x We know that there exsts x such that U(t) = u(x, t) for t (, T ). It s not hard to see that Lu(x, t) for t (, T ). Makng use of (1.1), we see that U (t) b(t)f(u(t)), t (, T ). (2.14) Obvously, because of (1.3) and (1.4), we also have U() = and U () =. (2.15) Integratng the nequalty (2.14) from to t, we fnd that U (t) t b(s)f(u(s))ds for t (, T ). (2.16) Snce U() = α(), usng (2.9) and (2.16), an applcaton of the maxmum prncple renders where T = mn{t, T e }. We deduce that U(t) α(t) for t (, T ), (2.17) T T e. (2.18) Indeed, assume that T < T e. Takng nto account (2.17), we observe that U(T ) α(t ) <. But, ths contradcts the fact that (, T ) s the maxmal tme nterval of exstence of the soluton u. Apply Taylor s expanson to obtan 1 = εa + o(ε). (2.19) 1 εa 2 Use (2.11), (2.18) and the above relaton to complete the rest of the proof.

6 96 THEODORE K. BONI, DIABATE NABONGO, AND ROGER B. SERY Remark 2.2. If b(t) = 1, then the soluton α(t) defned n (1.6) satsfes α (t) = f(α(t)), t (, T e ), (2.2) Multply both sdes of (2.2) by α (t) to obtan α() =, α () =. (2.21) ( (α (t)) 2 ) = (F (α(t))) t for t (, T e ), (2.22) 2 where F (s) = s f(σ)dσ. Integratng the equalty (2.22) over (, t), we fnd that whch mples that (α (t)) 2 Let us notce that f the ntegral 2 = F (α(t)) for t (, T e ), α (t) = 2F (α(t)) for t (, T e ). tme T e = 1 dσ 2. In fact, we observe that F (σ) dσ s fnte, then α(t) blows up at the F (σ) dσ F (σ) = 2dt for t (, T e ). Integrate the above equalty over (, T e ) to arrve at T e = 1 dσ. (2.23) 2 F (σ) If f(s) = e s, then F (s) = e s 1. In ths case T e = 1 dσ 2 e, and ts value s σ 1 slghtly equal Remark 2.3. Assume that Drchlet boundary condton (1.2) s replaced by that of Robn, that s, u η + β(x)u = for (, T ), (2.24) where β C ( ), β(x) > on, u η = N,j=1 a j cos(ν, x ) u x j, ν s the exteror normal unt vector on. Consder the followng egenvalue problem ψ η Lψ = λψ n, (2.25) + β(x)ψ = for, (2.26) ψ(x) > n. (2.27)

7 BLOW-UP TIME OF SOME NONLINEAR WAVE EQUATIONS 97 We know that the above egenvalue problem admts a soluton (ψ, λ) wth λ >, and we can normalze ψ so that ψ(x)dx = 1. Introduce the functon v(t) defned as follows v(t) = u(x, t)ψ(x)dx n t [, T ). Take twce the dervatve of v n t and use (1.1), to obtan v (t) = ε Lu(x, t)ψ(x)dx + b(t) f(u(x, t))ψ(x)dx for t (, T ). By Green s formula, we have Lu(x, t)ψ(x)dx = u(x, t)lψ(x)dx + ψ(x) u(x, t) ds η u(x, t) ψ(x) η ds. Usng (2.24) (2.26), we fnd that Lu(x, t)ψ(x)dx = λ u(x, t)ψ(x)dx. Now, reasonng as n the proof of Theorem 2.1, we see that the result of Theorem 2.1 remans vald. Now, let us show that we can obtan a result as the one gven n Theorem 2.1 f the parameter ε s fxed, and the doman s large enough. Assume that the doman contans the ball B(, R) = {x R N ; x < R}. Snce B(, R), we know that the egenvalue λ defned n (2.1) obeys the followng estmates < λ λ R = D R 2, (2.28) where D s a postve constant whch depends only on the upper bound of the coeffcents of the operator L and the dmenson N. At the moment, we may state our result n the case where the doman s large enough. Theorem 2.4. Assume that dst(, ) >. Suppose that the soluton α(t) of the dfferental equaton defned n (1.6) blows up at the tme T e and let E = D dσ. If dst(, ) > εe, then the soluton u of (1.1) (1.4) blows up n b() f(σ) a fnte tme, and ts blow-up tme T obeys the followng estmates εet e T T e 2(dst(, )) + o( 1 2 (dst(, )) ). 2 Proof. As n the proof of Theorem 2.1, t s not dffcult to see that the soluton u of (1.1) (1.4) blows up n a fnte tme T whch obeys the followng estmates T e T e T, (2.29) 1 εa where A = λ dσ. b() f(σ) Thanks to (2.28), λ D, whch mples that A R 2 R = dst(, ). We deduce from (2.29) that D b()r 2 dσ f(σ) = E R 2, where T e T T e 1 εe R 2. (2.3)

8 98 THEODORE K. BONI, DIABATE NABONGO, AND ROGER B. SERY Apply Taylor s expanson to obtan 1 εe = εe 2R + o( 1 ). (2.31) 2 R2 R 2 Use (2.3), and the above relaton to complete the rest of the proof. A drect consequence of Theorem 2.4 s that, f the soluton α(t) of the dfferental equaton defned n (1.6) blows up at the tme T e, and = R N, then the soluton u of (1.1) (1.4) blows up at the tme T, and the followng relaton holds T = T e. 3. Numercal results In ths secton, we gve some computatonal results to confrm the theory establshed n the prevous secton. We consder the radal symmetrc soluton of (1.1) (1.4) when = B(, 1), L =, b(t) = 1, and f(u) = e u. Hence, the problem (1.1) (1.4) may be rewrtten as follows u tt = ε(u rr + N 1 u r ) + e u, r (, 1), t (, T ), (3.1) r u r (, t) =, u(1, t) =, t (, T ), (3.2) u(r, ) =, u t (r, ) =, r (, 1). (3.3) Let I be a postve nteger and let h = 1/I. Defne the grd x = h, I and approxmate the soluton u of (3.1) (3.3) by the soluton U (n) h = (U (n),..., U (n) I ) T of the followng explct scheme U (n+1) 2U (n) + U (n 1) t 2 n = εn (n) 2U 1 2U (n) h 2 + e U (n), U (n+1) 2U (n) t 2 n + U (n 1) = ε( U (n) (n) +1 2U + U (n) 1 + h 2 +e U (n), 1 I 1, (N 1) U (n) h +1 U (n) 1 ) 2h U (n) I =, U () =, U (1) =, I. In order to permt the dscrete soluton to reproduce the propertes of the contnuous one when the tme t approaches the blow-up tme T, we need to adapt the sze of the tme step so that we take t n = mn{h 2, e 1 (n) U 2 h } wth U (n) h = sup I U (n). We also approxmate the soluton u of (3.1) (3.3) by the soluton of the mplct scheme below U (n) h U (n+1) 2U (n) + U (n 1) t 2 n = εn (n+1) 2U 1 2U (n+1) h 2 + e U (n),

9 BLOW-UP TIME OF SOME NONLINEAR WAVE EQUATIONS 99 U (n+1) 2U (n) t 2 n + U (n 1) = ε( U (n+1) +1 2U (n+1) + U (n+1) 1 + h 2 +e U (n), 1 I 1, (N 1) U (n+1) h +1 U (n+1) 1 ) 2h U (n+1) I =, U () =, U (1) =, I. As n the case of the explct scheme, here, we also choose t n = mn{h 2, e 1 (n) U 2 h }. We need the followng defnton. Defnton 3.1. We say that the dscrete soluton U (n) h of the explct scheme or the mplct scheme blows up n a fnte tme f lm n U (n) h =, and the seres n= t n converges, where U (n) h = sup I U (n). The quantty n= t n s called the numercal blow-up tme of the dscrete soluton U (n) h. In the tables 1 and 2, n rows, we present the numercal blow-up tmes, the numbers of teratons n, the CPU tmes and the orders of the approxmatons correspondng to meshes of 16, 32, 64, 128. We take for the numercal blow-up tme T n = n 1 j= t j whch s computed at the frst tme when t n = T n+1 T n The order(s) of the method s computed from s = log((t 4h T 2h )/(T 2h T h )). log(2) Numercal experments for N=2; ε = 1 5 Table 1. Numercal blow-up tmes, numbers of teratons, CPU tmes (seconds) and orders of the approxmatons obtaned wth the explct Euler method I T n n CP U t s

10 1 THEODORE K. BONI, DIABATE NABONGO, AND ROGER B. SERY Table 2. Numercal blow-up tmes, numbers of teratons, CPU tmes (seconds) and orders of the approxmatons obtaned wth the mplct Euler method I T n n CP U t s References 1. L. M. Aba, J. C. López-Marcos and J. Martínez, On the blow-up tme convergence of semdscretzatons of reacton-dffuson equatons, Appl. Numer. Math., 26 (1998), T. K. Bon, Extncton for dscretzatons of some semlnear parabolc equatons, C.R.A.S, Sere I, 333 (21), T. K. Bon, On blow-up and asymptotc behavor of solutons to a nonlnear parabolc equaton of second order wth nonlnear boundary condtons, Comment. Math. Unv. Comenan, 4 (1999), H. Brezs, T. Cazenave, Y. Martel and A. Ramandrsoa, Blow-up for u t = u xx + g(u) revsted, Adv. Dff. Eq., 1 (1996), K. Deng, Nonexstence of global solutons of a nonlnear hyperbolc system, Trans. Am. Math. Soc., 349 (1997), A. Fredman and A. A. Lacey, he blow-up tme for solutons of nonlnear heat equatons wth small dffuson, SIAM J. Math. Anal., 18 (1987), , 1 7. R. T. Glassey, Blow-up Theorems for nonlnear wave equatons, Math. Z., 132 (1973), V. Georgev and G. Todorova, Exstence of a soluton of the wave equaton wth nonlnear Dampng and Source Trems, J. of Dff. Equat., 19 (1994), G. Guowang and W. Shubn, Exstence and nonexstence of global solutons for the generalzed IMBq equaton, Nonl. Anal. TMA, 36 (1999), S. Kaplan, On the growth of solutons of quas-lnear parabolc equatons, Comm. Pure Appl. Math., 16 (1963), H. A. Levne, Instablty and nonexstence of global solutons to nonlnear wave equatons of the form ρu tt = Av + F (u), Trans. Am. Math. Soc., 192 (1974), H. A. Levne, Some addtonal remarks on the nonexstence of global solutons to nonlnear wave equatons, SIAM J. Math. Anal., 5 (1974), R. C. Maccamy and V. J. Mzel, Exstence and nonexstence n the lare of solutons of quaslnear wave equatons, Arch. Ratonal Meth. Anal., 25 (1967), T. Nakagawa, Blowng up on the fnte dfference soluton to u t = u xx + u 2, Appl. Math. Optm., 2 (1976), F. K. N gohsse and T. K. Bon, Quenchng tme of some nonlnear wave equatons, To appear M. H. Protter and H. F. Wenberger, Maxmum prncples n dfferental equatons, Prentce Hall, Englewood Clffs, NJ, (1967). 17. M. Reed, Abstract nonlnear wave equatons, Lecture notes n Mathematcs 57, Sprnger- Verlag Berln, New-York, (1976). 1

11 BLOW-UP TIME OF SOME NONLINEAR WAVE EQUATIONS D. H. Sattnger, On global soluton of nonlnear hyperbolc equatons, Arch. Ratonal Mech. Anal., 3 (1968), A. Sang and R. Park, Remarks on quaslnear hyperbolc equatons wth dynamc boundary condtons, Math. Narchr., 198 (1999), W. Walter, Dfferental-und Integral-Unglechungen, Sprnger, Berln, (1954). 1 Insttut Natonal Polytechnque Houphouet-Bogny de Yamoussoukro, BP 193 Yamoussoukro, (Cote d Ivore). E-mal address: theokbon@yahoo.fr. 2 Unverste d Abobo-Adjame, UFR-SFA, Departement de Mathematques et Informatques, 16 BP 372 Abdjan 16, (Cote d Ivore) E-mal address: nabongo dabate@yahoo.fr 3 Insttut Natonal Polytechnque Houphouet-Bogny de Yamoussoukro, BP 193 Yamoussoukro, (Cote d Ivore). E-mal address: serybrc@yahoo.fr

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

General viscosity iterative method for a sequence of quasi-nonexpansive mappings

General viscosity iterative method for a sequence of quasi-nonexpansive mappings Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Uniqueness of Weak Solutions to the 3D Ginzburg- Landau Model for Superconductivity

Uniqueness of Weak Solutions to the 3D Ginzburg- Landau Model for Superconductivity Int. Journal of Math. Analyss, Vol. 6, 212, no. 22, 195-114 Unqueness of Weak Solutons to the 3D Gnzburg- Landau Model for Superconductvty Jshan Fan Department of Appled Mathematcs Nanjng Forestry Unversty

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

Optimal Pursuit Time in Differential Game for an Infinite System of Differential Equations

Optimal Pursuit Time in Differential Game for an Infinite System of Differential Equations Malaysan Journal of Mathematcal Scences 1(S) August: 267 277 (216) Specal Issue: The 7 th Internatonal Conference on Research and Educaton n Mathematcs (ICREM7) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES

More information

Y. Guo. A. Liu, T. Liu, Q. Ma UDC

Y. Guo. A. Liu, T. Liu, Q. Ma UDC UDC 517. 9 OSCILLATION OF A CLASS OF NONLINEAR PARTIAL DIFFERENCE EQUATIONS WITH CONTINUOUS VARIABLES* ОСЦИЛЯЦIЯ КЛАСУ НЕЛIНIЙНИХ ЧАСТКОВО РIЗНИЦЕВИХ РIВНЯНЬ З НЕПЕРЕРВНИМИ ЗМIННИМИ Y. Guo Graduate School

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Boundary Layer to a System of Viscous Hyperbolic Conservation Laws

Boundary Layer to a System of Viscous Hyperbolic Conservation Laws Acta Mathematcae Applcatae Snca, Englsh Seres Vol. 24, No. 3 (28) 523 528 DOI: 1.17/s1255-8-861-6 www.applmath.com.cn Acta Mathema ca Applcatae Snca, Englsh Seres The Edtoral Offce of AMAS & Sprnger-Verlag

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Another converse of Jensen s inequality

Another converse of Jensen s inequality Another converse of Jensen s nequalty Slavko Smc Abstract. We gve the best possble global bounds for a form of dscrete Jensen s nequalty. By some examples ts frutfulness s shown. 1. Introducton Throughout

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

Inexact Newton Methods for Inverse Eigenvalue Problems

Inexact Newton Methods for Inverse Eigenvalue Problems Inexact Newton Methods for Inverse Egenvalue Problems Zheng-jan Ba Abstract In ths paper, we survey some of the latest development n usng nexact Newton-lke methods for solvng nverse egenvalue problems.

More information

ON THE BURGERS EQUATION WITH A STOCHASTIC STEPPING STONE NOISY TERM

ON THE BURGERS EQUATION WITH A STOCHASTIC STEPPING STONE NOISY TERM O THE BURGERS EQUATIO WITH A STOCHASTIC STEPPIG STOE OISY TERM Eaterna T. Kolovsa Comuncacón Técnca o I-2-14/11-7-22 PE/CIMAT On the Burgers Equaton wth a stochastc steppng-stone nosy term Eaterna T. Kolovsa

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

More information

Modelli Clamfim Equazioni differenziali 7 ottobre 2013

Modelli Clamfim Equazioni differenziali 7 ottobre 2013 CLAMFIM Bologna Modell 1 @ Clamfm Equazon dfferenzal 7 ottobre 2013 professor Danele Rtell danele.rtell@unbo.t 1/18? Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

Lecture 21: Numerical methods for pricing American type derivatives

Lecture 21: Numerical methods for pricing American type derivatives Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)

More information

The Finite Element Method: A Short Introduction

The Finite Element Method: A Short Introduction Te Fnte Element Metod: A Sort ntroducton Wat s FEM? Te Fnte Element Metod (FEM) ntroduced by engneers n late 50 s and 60 s s a numercal tecnque for solvng problems wc are descrbed by Ordnary Dfferental

More information

Group Analysis of Ordinary Differential Equations of the Order n>2

Group Analysis of Ordinary Differential Equations of the Order n>2 Symmetry n Nonlnear Mathematcal Physcs 997, V., 64 7. Group Analyss of Ordnary Dfferental Equatons of the Order n> L.M. BERKOVICH and S.Y. POPOV Samara State Unversty, 4430, Samara, Russa E-mal: berk@nfo.ssu.samara.ru

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

A Pursuit Problem Described by Infinite System of Differential Equations with Coordinate-Wise Integral Constraints on Control Functions

A Pursuit Problem Described by Infinite System of Differential Equations with Coordinate-Wise Integral Constraints on Control Functions Malaysan Journal of Mathematcal Scences 9(1): 67-76 (15) MALAYSIAN JOURNAL OF MAHEMAICAL SCIENCES Journal homepage: http://enspem.upm.edu.my/journal A Pursut Problem Descrbed by Infnte System of Dfferental

More information

arxiv: v1 [math.co] 1 Mar 2014

arxiv: v1 [math.co] 1 Mar 2014 Unon-ntersectng set systems Gyula O.H. Katona and Dánel T. Nagy March 4, 014 arxv:1403.0088v1 [math.co] 1 Mar 014 Abstract Three ntersecton theorems are proved. Frst, we determne the sze of the largest

More information

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

More information

On a nonlinear compactness lemma in L p (0, T ; B).

On a nonlinear compactness lemma in L p (0, T ; B). On a nonlnear compactness lemma n L p (, T ; B). Emmanuel Matre Laboratore de Matématques et Applcatons Unversté de Haute-Alsace 4, rue des Frères Lumère 6893 Mulouse E.Matre@ua.fr 3t February 22 Abstract

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

More information

THE STURM-LIOUVILLE EIGENVALUE PROBLEM - A NUMERICAL SOLUTION USING THE CONTROL VOLUME METHOD

THE STURM-LIOUVILLE EIGENVALUE PROBLEM - A NUMERICAL SOLUTION USING THE CONTROL VOLUME METHOD Journal of Appled Mathematcs and Computatonal Mechancs 06, 5(), 7-36 www.amcm.pcz.pl p-iss 99-9965 DOI: 0.75/jamcm.06..4 e-iss 353-0588 THE STURM-LIOUVILLE EIGEVALUE PROBLEM - A UMERICAL SOLUTIO USIG THE

More information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N)

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N) SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) S.BOUCKSOM Abstract. The goal of ths note s to present a remarably smple proof, due to Hen, of a result prevously obtaned by Gllet-Soulé,

More information

Exercise Solutions to Real Analysis

Exercise Solutions to Real Analysis xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

The lower and upper bounds on Perron root of nonnegative irreducible matrices

The lower and upper bounds on Perron root of nonnegative irreducible matrices Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College

More information

Research Article A Generalized Sum-Difference Inequality and Applications to Partial Difference Equations

Research Article A Generalized Sum-Difference Inequality and Applications to Partial Difference Equations Hndaw Publshng Corporaton Advances n Dfference Equatons Volume 008, Artcle ID 695495, pages do:0.55/008/695495 Research Artcle A Generalzed Sum-Dfference Inequalty and Applcatons to Partal Dfference Equatons

More information

Numerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline

Numerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline IOSR Journal of Matematcs (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 14, Issue 6 Ver. I (Nov - Dec 018), PP 6-30 www.osrournals.org Numercal Smulaton of One-Dmensonal Wave Equaton by Non-Polynomal

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng

More information

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12 REVIEW Lecture 11: 2.29 Numercal Flud Mechancs Fall 2011 Lecture 12 End of (Lnear) Algebrac Systems Gradent Methods Krylov Subspace Methods Precondtonng of Ax=b FINITE DIFFERENCES Classfcaton of Partal

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

More information

Existence results for a fourth order multipoint boundary value problem at resonance

Existence results for a fourth order multipoint boundary value problem at resonance Avalable onlne at www.scencedrect.com ScenceDrect Journal of the Ngeran Mathematcal Socety xx (xxxx) xxx xxx www.elsever.com/locate/jnnms Exstence results for a fourth order multpont boundary value problem

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

Numerical Solution of Ordinary Differential Equations

Numerical Solution of Ordinary Differential Equations Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples

More information

On Finite Rank Perturbation of Diagonalizable Operators

On Finite Rank Perturbation of Diagonalizable Operators Functonal Analyss, Approxmaton and Computaton 6 (1) (2014), 49 53 Publshed by Faculty of Scences and Mathematcs, Unversty of Nš, Serba Avalable at: http://wwwpmfnacrs/faac On Fnte Rank Perturbaton of Dagonalzable

More information

CSCE 790S Background Results

CSCE 790S Background Results CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each

More information

Maejo International Journal of Science and Technology

Maejo International Journal of Science and Technology Maejo Int. J. Sc. Technol. () - Full Paper Maejo Internatonal Journal of Scence and Technology ISSN - Avalable onlne at www.mjst.mju.ac.th Fourth-order method for sngularly perturbed sngular boundary value

More information

Fixed point method and its improvement for the system of Volterra-Fredholm integral equations of the second kind

Fixed point method and its improvement for the system of Volterra-Fredholm integral equations of the second kind MATEMATIKA, 217, Volume 33, Number 2, 191 26 c Penerbt UTM Press. All rghts reserved Fxed pont method and ts mprovement for the system of Volterra-Fredholm ntegral equatons of the second knd 1 Talaat I.

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information

On the size of quotient of two subsets of positive integers.

On the size of quotient of two subsets of positive integers. arxv:1706.04101v1 [math.nt] 13 Jun 2017 On the sze of quotent of two subsets of postve ntegers. Yur Shtenkov Abstract We obtan non-trval lower bound for the set A/A, where A s a subset of the nterval [1,

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

Linear Algebra and its Applications

Linear Algebra and its Applications Lnear Algebra and ts Applcatons 4 (00) 5 56 Contents lsts avalable at ScenceDrect Lnear Algebra and ts Applcatons journal homepage: wwwelsevercom/locate/laa Notes on Hlbert and Cauchy matrces Mroslav Fedler

More information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

Some modelling aspects for the Matlab implementation of MMA

Some modelling aspects for the Matlab implementation of MMA Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton

More information

Curvature and isoperimetric inequality

Curvature and isoperimetric inequality urvature and sopermetrc nequalty Julà ufí, Agustí Reventós, arlos J Rodríguez Abstract We prove an nequalty nvolvng the length of a plane curve and the ntegral of ts radus of curvature, that has as a consequence

More information

3 Basic boundary value problems for analytic function in the upper half plane

3 Basic boundary value problems for analytic function in the upper half plane 3 Basc boundary value problems for analytc functon n the upper half plane 3. Posson representaton formulas for the half plane Let f be an analytc functon of z throughout the half plane Imz > 0, contnuous

More information

Random Walks on Digraphs

Random Walks on Digraphs Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected

More information

Lecture 17 : Stochastic Processes II

Lecture 17 : Stochastic Processes II : Stochastc Processes II 1 Contnuous-tme stochastc process So far we have studed dscrete-tme stochastc processes. We studed the concept of Makov chans and martngales, tme seres analyss, and regresson analyss

More information

The Analytical Solution of a System of Nonlinear Differential Equations

The Analytical Solution of a System of Nonlinear Differential Equations Int. Journal of Math. Analyss, Vol. 1, 007, no. 10, 451-46 The Analytcal Soluton of a System of Nonlnear Dfferental Equatons Yunhu L a, Fazhan Geng b and Mnggen Cu b1 a Dept. of Math., Harbn Unversty Harbn,

More information

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs

More information

Implicit Integration Henyey Method

Implicit Integration Henyey Method Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure

More information

THERE ARE INFINITELY MANY FIBONACCI COMPOSITES WITH PRIME SUBSCRIPTS

THERE ARE INFINITELY MANY FIBONACCI COMPOSITES WITH PRIME SUBSCRIPTS Research and Communcatons n Mathematcs and Mathematcal Scences Vol 10, Issue 2, 2018, Pages 123-140 ISSN 2319-6939 Publshed Onlne on November 19, 2018 2018 Jyot Academc Press http://jyotacademcpressorg

More information

Errors for Linear Systems

Errors for Linear Systems Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch

More information

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0 Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the

More information

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 ) Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often

More information

LINEAR INTEGRAL EQUATIONS OF VOLTERRA CONCERNING HENSTOCK INTEGRALS

LINEAR INTEGRAL EQUATIONS OF VOLTERRA CONCERNING HENSTOCK INTEGRALS Real Analyss Exchange Vol. (),, pp. 389 418 M. Federson and R. Bancon, Insttute of Mathematcs and Statstcs, Unversty of São Paulo, CP 66281, 05315-970. e-mal: federson@cmc.sc.usp.br and bancon@me.usp.br

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites 7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Chapter 4 The Wave Equation

Chapter 4 The Wave Equation Chapter 4 The Wave Equaton Another classcal example of a hyperbolc PDE s a wave equaton. The wave equaton s a second-order lnear hyperbolc PDE that descrbes the propagaton of a varety of waves, such as

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

arxiv: v2 [math.ca] 24 Sep 2010

arxiv: v2 [math.ca] 24 Sep 2010 A Note on the Weghted Harmonc-Geometrc-Arthmetc Means Inequaltes arxv:0900948v2 [mathca] 24 Sep 200 Gérard Maze, Urs Wagner e-mal: {gmaze,uwagner}@mathuzhch Mathematcs Insttute Unversty of Zürch Wnterthurerstr

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples

More information

LOWER BOUND OF RICCI FLOW S EXISTENCE TIME

LOWER BOUND OF RICCI FLOW S EXISTENCE TIME LOWER BOUND OF RICCI FLOW S EXISTENCE TIME GUOYI XU Abstract. Let M n, g) be a compact n-dm n ) manfold wth Rc, and f n 3 we assume that M n, g) R has nonnegatve sotropc curvature. Some lower bound of

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

EEE 241: Linear Systems

EEE 241: Linear Systems EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they

More information

Geometry of Müntz Spaces

Geometry of Müntz Spaces WDS'12 Proceedngs of Contrbuted Papers, Part I, 31 35, 212. ISBN 978-8-7378-224-5 MATFYZPRESS Geometry of Müntz Spaces P. Petráček Charles Unversty, Faculty of Mathematcs and Physcs, Prague, Czech Republc.

More information

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

More information

Anti-van der Waerden numbers of 3-term arithmetic progressions.

Anti-van der Waerden numbers of 3-term arithmetic progressions. Ant-van der Waerden numbers of 3-term arthmetc progressons. Zhanar Berkkyzy, Alex Schulte, and Mchael Young Aprl 24, 2016 Abstract The ant-van der Waerden number, denoted by aw([n], k), s the smallest

More information

Lab session: numerical simulations of sponateous polarization

Lab session: numerical simulations of sponateous polarization Lab sesson: numercal smulatons of sponateous polarzaton Emerc Boun & Vncent Calvez CNRS, ENS Lyon, France CIMPA, Hammamet, March 2012 Spontaneous cell polarzaton: the 1D case The Hawkns-Voturez model for

More information

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016 U.C. Berkeley CS94: Spectral Methods and Expanders Handout 8 Luca Trevsan February 7, 06 Lecture 8: Spectral Algorthms Wrap-up In whch we talk about even more generalzatons of Cheeger s nequaltes, and

More information