The Dynamics of a One-Dimensional Parabolic Problem versus the Dynamics of Its Discretization

Size: px
Start display at page:

Download "The Dynamics of a One-Dimensional Parabolic Problem versus the Dynamics of Its Discretization"

Transcription

1 Joural of Differeial Equaios 168, 6792 (2000) doi: jdeq , available olie a hp: o The Dyamics of a Oe-Dimesioal Parabolic Problem versus he Dyamics of Is Discreizaio Simoe M. Bruschi 1 Deparameo de Maema ica, IGCE-UNESP, Cx. Posal 178, Rio Claro, SP, Brazil sbruschims.rc.uesp.br Alexadre N. Carvalho 2 Deparameo de Maema ica, ICMC-USP, Cx. Posal 668, Sa~ o Carlos, SP, Brazil adcarvaicmc.sc.usp.br ad Jose G. Ruas-Filho 3 Deparameo de Maema ica, ICMC-USP, Cx. Posal 668, Sa~ o Carlos, SP, Brazil jgrfilhoicmc.sc.usp.br Received November 2, 1998; revised May 24, 1999 dedicaed o professor jack hale o he occasio of his 70h birhday I his paper we prove ha he spaial discreizaio of a oe dimesioal sysem of parabolic equaios, wih suiably small sep size, coais exacly he same asympoic dyamics as he coiuous problem Academic Press Key Words: parabolic equaios; spaial discreizaio; opological equivalece of aracors. INTRODUCTION I order o keep he preseaio simple we will cosider he scalar case ad laer poi ou ha he chages eeded whe cosiderig sysems of oe dimesioal parabolic equaios. Cosider he followig oe dimesioal scalar parabolic problem u =au xx + f(u), 0<x<1, >0 u x (0)=u x (1)=0, >0, (0.1) 1 Research parially suppored by FAPESP Gra Research parially suppored by CNPq Gra Research parially suppored by CNPq Gra Copyrigh 2000 by Academic Press All righs of reproducio i ay form reserved.

2 68 BRUSCHI, CARVALHO, AND RUAS-FILHO where a>0 ad f: R R is a C 2 fucio saisfyig he dissipaiveess codiio f(u) u<0, u >!, for some!>0. Also, cosider he semi-implici discreizaio of (0.1) wih p equally spaced seps U4 =alu+f(u), (0.2) where L is he p_p 2_ marix give by }}} }}} }}} L= p b b b.. b b b, (0.3) }}} }}} }}} f(u)=( f(u 1 ),..., f(u p )) ad U=(u 1,}}},u p ) Uder he above assumpios o f we have he exisece of a global aracor A for (0.1) ad a global aracor A p for (0.2). The aim of his work is o show ha he asympoic dyamics of he wo equaios above are opologically equivale for a sufficiely large p; ha is, for sufficiely small sep size. I order o illusrae he differeces ha may arise bewee he dyamics of (0.1) ad (0.2) we cosider he case p=2 i (0.2); ha is if we wrie, x 1 =14, x 2 =34 ad deoe by u 1 ()=u(x 1, ) ad u 2 ()=u(x 2, ), he we have (already wih he boudary codiios icorporaed) he followig equaio: u* 1=4a(u 1 u 2 )+ f(u 1 ), u* 2=4a(u 1 u 2 )+ f(u 2 ). (0.4) Take f(u)=uu 3. We observe ha for ay value of a he equaio (0.4) has a mos ie equilibrium pois whereas he problem (0.1) for small values of a may have ay umber of equilibrium pois (see, [CI]). Besides his, for 4a<13 we have he exisece of equilibrium pois for (0.4) which are sable ad of he form U=(u 1, u 2 ) where u 1 {u 2. If he dyamics of (0.4) were equivale o he dyamics of (0.1) he equilibrium poi U would correspod o a sable, ocosa equilibrium poi for (0.1); ha is, a paer. I is well kow (see [Ch, CH]) ha paers do o exis

3 A ONE-DIMENSIONAL PARABOLIC PROBLEM 69 for he problem (0.1). Tha way eve for values of a o so small he dyamics of he discreized equaio may differ sigificaly from ha of he coiuous problem. This has bee poied ou previously i [Ro]. Of course a similar reasoig could be carried ou for larger values of p he advaage of p=2 is he possibiliy of compuig all he equilibrium pois of (0.4) which gives a complee picure of is aracor. I has bee show i ([CP]) ha, for ay p give, here is a fucio a( } ) such ha he dyamics of (0.2) is equivale o he dyamics of he problem u =(a(x) u x ) x + f(u), 0<x<1, >0 u x (0)=u x (1)=0, >0 (0.5) Afer havig preseed he problems ha may arise whe comparig he dyamics of (0.1) ad (0.2) we are ready o sae he mai resul of his paper. Theorem 0.1. For p large eough, here is a homeomorphism H: A A p which maps orbis oo orbis preservig ime direcio. The proof of his resul requires us o embed he discree problem io he seig of he coiuous problem. Sice he coiuous problem is ifiie dimesioal he firs ask is o reduce i o a problem o a fiie dimesioal space. Tha is accomplished hrough he ivaria maifold heorem. Uforuaely if we cosider he coiuous problem o a fixed fiie dimesioal ivaria maifold of dimesio ad cosider he discreizaio wih sepsize 1, we are o able o prove ha he vecor fields of he coiuous ad discree problem wih same dimesio are close (due o he fac ha he eigevalues of he L ad of he 1-d Neuma Laplacia are o uiformly close). Keepig he coiuous problem o a fixed maifold, he proximiy of he vecor fields (o he par ha cocers L ad he projeced oe dimesioal Neuma Laplacia) will come whe he sep size is very small ad herefore he dimesio of he discree problem will ow exceed he dimesio for he coiuous problem. We could ow projec he discree problem oo a ivaria maifold wih same dimesio as ha of he coiuous problem. Tha akes care of he covergece of he par of he vecor field comig from he projecio of he Laplacia ad he projecio of L bu he we eed o sudy he covergece of he olieariies projeced o he ivaria maifolds. For ha we eed he covergece of he ivaria maifolds which leads o echical complicaios. Our approach is o allow he dimesios of boh ivaria maifolds o icrease i such a way ha he ivaria maifolds are boh very fla ad

4 70 BRUSCHI, CARVALHO, AND RUAS-FILHO herefore very close o oe aoher i he C 1 opology. The sice we already kow ha he aracors are all coaided i submaifolds of fixed dimesio we have ha vecor fields are also C 1 close i hese submaifolds ad he opological equivalece is a cosequece of he srucural sabliliy for he coiuous problem. Le us ow cosider he slighly more geeral siuaio (0.5) wih a beig a sricly posiive C 1 ((0, 1), R) C([0, 1], R) fucio. Wih a chage of variables (0.5) ca be covered io u s =u!! +a~ (!) f(u), 0<!<L, s>0 u! (0)=u! (1)=0, s>0, (0.6) where s=(a(x)) 1,!= x 0 1 a(s) ds ad a~ (!)=a(x(!)), L= a(s) ds. This leads us o sudy oly he case (0.1) possibly wih f also depedig o he space variable. All he resuls proved here are for he case whe he olieariy f depeds oly upo he ukow u. More geeral siuaios like he case whe he fucio f also deped o he space variable ad o he dispersio ca be obaied i a similar fashio. The assumpios required for hese more geeral siuaios ad he Dirichle boudary codiio case ca be foud i Secio 5. There has bee several works i he lieraure where par of he resuls preseed here have bee aouced. Amog hem we cie [Ha, FR]. To our kowledgeme here is o rigorous proof of such resuls i he lieraure. This paper is orgaized as follows. I Secio 1 we prese he discreized problem obaiig uiform bouds for he aracors A p ad he exisece of a expoeially aracig ivaria maifold for i. I Secio 2 prese he coiuous problem obaiig uiform bouds for he aracor A ad he exisece of a expoeially aracig ivaria maifold for i. I Secio 3 i is proved ha a cerai se of eigevalues ad eigefucios of he discree problem coverges uiformly o he eigevalues ad eigefucios of he coiuous problem ad use hese facs o compare he vecor fields of he discree ad coiuous problem o he ivaria maifolds. I Secio 5 we make several commes o possible exesios of he resuls. Fially, i he Appedix, we prove a heorem o exisece of expoeially aracig ivaria maifolds ha deals wih chagig spaces ad dimesios.

5 A ONE-DIMENSIONAL PARABOLIC PROBLEM DISCRETIZATION Firsly we discuss he spaial discreizaio of (0.1), for ha cosider he pois x j = j12 p, j=1,..., p ad deoe u j ()=u(x j, ). The, we have u* 1= p 2 (u 2 u 1 )+ f(u 1 ), u* j= p 2 (u j1 2u j +u j+1 )+ f(u j ), j=2,..., p1 (1.1) u* p= p 2 (u p1 u p )+ f(u p ) Observe ha he boudary codiios have chaged o u 1 =u 0, u p+1 =u p ad have bee icorporaed o he liear operaor L. Deoig U=(u 1,..., u p ) ad rewriig he above equaio i a marix form, we obai U4 =LU+f(U), (1.2) where L is a p_p marix give by (0.2) ad f(u)=( f(u 1 ),..., f(u p )). We observe ha he sysem (1.2) is geerically MorseSmale (see [FO]). By he codiios imposed o f, he above problem has a global aracor A p ha saisfies A p /R p!, (1.3) where R p! =[v # R p ; v i!, 1i p], see [CDR]. Sice we are ieresed o sudyig he soluios of he above problem i he aracor oly we may cu he olieariy i such a way ha f is bouded wih bouded firs ad secod derivaives. Theorem 1.1. The eigevalues of L are give by * p k =4p2 si 2 k? 2p ad he associaed eigevecors are w p =(cos k?x k 1,..., cos k?x p ) for k=0,..., p1. Besides ha, lim p * p=* k k, where * k =(k?) 2 is he (k+1)h eigevecor of he operaor 2 wih homogeeous Neuma boudary codiio. To be able o compare he dyamics of he discree problem wih he dyamics of he coiuous problem we mus assig o R p a orm which is compaible wih he orm adoped for he coiuous problem. Tha leads us o defie i R p he ier produc: (x, y)= 1 p x p i=1 i y i, which is iheried from he L 2 ier produc ad will be referred as discreized L 2 ier produc. Normalizig w p k accordig o his ier produc we obai: p = w p k?x k 1,..., cos k?x p ) k w p =(cos. k 1 p p : cos 2 k?x i i=1

6 72 BRUSCHI, CARVALHO, AND RUAS-FILHO If we wrie p : cos k?x i / Ii (x) p(x)= i=1 k ; 1 p p : cos 2 k?x i i=1 where we deoe by I i he ierval [ i1 i p, p], we obai ha k(x)# p L (0, 1) ad p (x)- 2 cos k?x k 0 whe p. Cosider a base of eigevecors p k, 0k p1, i R p. This basis is orhoormal wih respec o he ier produc previously described. We cosider he discreized equaio i his ew coordiaes, ha is, if we wrie: v 1 =(U, p ),..., v 0 p=(u, p ) ad v=(v p1 1,..., v p ) we obai: v* =L v+f(v), (1.4) where L is he p_p marix give by L =diag(* p,..., * p 0 p1 ) ad F(v)= (F 1 (v),..., F p (v)) wih each F j (v) give by F j (v)=(f(u), p j1 )= : p k=1 1 p p j1 k f( p 0k v 1+}}}+ p ( p1) k v p), (1.5) where p deoes he k-h coordiae of p jk j. We deoe he marix of chage of basis by Z; i is give by z kj = p ad he marix ( j1) k Z1 is give by (1p) Z. Now, we cosider a discreizaio wih p= 3 pois ad cosider he followig decomposiio of R 3 =R R 3 where R =spa[ 3 0,..., ] 3 1 ad R 3 =spa[ 3,..., 3 1], wih his decomposiio we obai he 3 followig weakly coupled sysem v* +B v = g~ (v, w ) w* +A w = f (v, w ), (1.6) where B is he _ diagoal marix give by B =diag(* 3 0,..., ), A *3 1 is he ( 3 )_( 3 ) diagoal marix give by A =diag(* 3,..., * 3 1), 3 g~ (v, w )=(F 1 (v, w ),..., F (v, w )) ad f (v, w )=(F (+1) (v, w ),..., F 3(v, w )). For he weakly coupled sysem (1.8) we show ha here exiss a expoeially aracig -dimesioal ivaria maifold; ha is, he followig holds:

7 A ONE-DIMENSIONAL PARABOLIC PROBLEM 73 Theorem 1.2. Le f be wice coiuously differeiable, bouded wih bouded firs ad secod derivaives; he, he problem (1.6) for sufficiely large, possess a ivaria maifold M =[(v, w )#R 3 w =_~ (v )], which is expoeially aracig, where _~ is a smooh fucio, _~ : R R 3 ad he flux o M is give by u()=v ()+_~ (v ()) where v () is soluio of v* +B v = g~ (v, _~ (v )). (1.7) To prove his heorem we use he followig resul. This resul is also used o prove he proximiy of he vecor fields of he coiuous ad discree problems afer hey are projeced o heir ivaria maifolds. Lemma 1.3. Le ad X, Y be a sequece Baach spaces, A : D(A )/ X X be a sequece of secorial operaors ad B : D(B )/Y Y be a sequece of geeraors of C 0 -groups of bouded liear operaors. Suppose ha f : X : _Y : X ad g : X : _Y : Y are a sequece of fucios saisfyig: f (x, y)f (z, w) X L f (xz X :+yw Y :), f (x, y) X N f, for every (x, y), (z, w) i X : _Y : ad g (x, y)g (z, w) Y L g (xz X :+yw Y :), g (x, y) Y N g, for every (x, y), (z, w) i X : _Y :. Assume ha e A w X :M a e ;() w X :, 0 e A w X :M a : e ;() w X, >0, e B z Y :=e B () z Y :M b e \() z Y :, e B z Y :M b () : e \() z Y, <0, 0, for ay w # X : ad z # Y, where ;()\() + as. Cosider he weakly coupled sysem { x* =A x+ f (x, y), y* =B y+ g (x, y). (1.8)

8 74 BRUSCHI, CARVALHO, AND RUAS-FILHO The, for large eough, here is a expoeially aracig ivaria maifold for (1.8) where _ : Y : X : saisfies S=[(x, y) :x=_ ( y), y # Y : ], s()= sup _ ( y) X :, [y# Y : ] _ ( y)_ (z) X :l() yz Y :, wih s(), l() 0 whe. If f, g are smooh; he, _ is smooh ad is derivaive D_ saisfy sup D_ ( y) L(Y :, X )l(). : y # Y The proof of his resul ca be foud i he appedix. Proof of Theorem 1.2. Makig :=0 i he previous lemma we have: Y _X where Y =R ad X =R 3, g~ : Y _X Y ad f : Y _ X X. We make he followig disicio relaively o he several orms used here, whe he idex of he orm is X or Y we are usig he base of eigevecors ad ha way he orm is give by }=( i x 2 i )12, whe he idex of he orm is R k we are usig he caoical basis ad he orm give by he L 2 discreized ier produc. Firsly we compue he eeded esimaes o f ad g~ g~ (v, w ) Y = \ : i= (F i (v, w )) f(z(v, w ) ) R 3= \ 3 : = \ : 3 i=1 \ : 3 i=1 Similarly, we obai he esimae i= ( f([z(v, w 3 ) ] i )) 12 1 f 2 3 = f (f i(z(v 3, w ) )) f (v, w ) X f. (1.9)

9 A ONE-DIMENSIONAL PARABOLIC PROBLEM 75 For he Lipschiz cosas we have g~ (v, w )g~ (z, u ) Y = \ : i= (F i (v, w )F i (z, u )) f(z(v, w ) )f(z(z, u ) ) R 3 = \ 2+ 3 : 1 ( f([z(v, w 3 ) ] i )f([z(z, u ) ] i )) i=1 \ : 1 3 L2([Z(v f, w ) ] i [Z(z, u ) ] i ) i=1 = \ : 1 3 L2([Z(v f z, w u ) ] i ) i=1 =L f Z((v z ), (w u )) R 3-2 L f (v z Y +w u X ), where L f is he Lipschiz cosa of he fucio f. I he same way we obai he esimaive for he Lipschiz cosa of f. All he cosas are uiform i. The cosas ;() ad \() are: ;()=* 3 12 ad \()=* 3 1. Tha gives us ha ;() 2 ad \()(1) 2 as ad his gives us ha ;()\() as. 2. THE CONTINUOUS PROBLEM We ow ur o he problem (0.1). Le X=L 2 (0, 1), we defie f e : H 1 (0, 1)/X X by f e (,)(x)= f(,(x)) ad we defie: A: D(A)/L 2 (0, 1) L 2 (0, 1) D(A)=H 2 N (0, 1)=[, # H 2 (0, 1):,$(0)=,$(1)=0] A,=,". Tha way, we rewrie he problem (0.1) as: d d u+au= f e (u), (2.1) u(0)=u 0

10 76 BRUSCHI, CARVALHO, AND RUAS-FILHO By he codiios imposed o f we obai ha f e is Lipschiz coiuous i bouded subses of H 1 (0, 1). The, he above problem has a global aracor A ha saisfies sup u # A sup u(x)!. (2.2) x #[0,1] The above boud allow us o cu (wihou chagig he aracor) he olieariy f i such a way ha i becomes bouded ad has bouded firs ad secod derivaive. Also afer cuig he olieariy we may pose he problem i L 2 (0, 1) keepig he same aracor. Here afer we assume ha f is bouded ad has firs ad secod derivaive we also assume ha he problem is posed i L 2 (0, 1). Le * 0 <* 1 <* 2 < } } } be he sequece of eigevalues of A, where * k =(k?) 2 ad, 0,, 1,, 2,... a correspodig sequece of ormalized eigefucios,, k (x)=- 2 cos(k?x). Now cosider he followig decomposiio of X=WW = where W=spa[, 0,, 1,...,, 1 ] W = =[, # X: (,, w)=0, \w # W], (2.3) where ( }, }) is he ier produc of L 2 (0, 1). The, u # L 2 (0, 1) ca be wrie as where u=v 1, 0 +v 2, 1 +}}}+v, 1 +w, v i = 1 0 w=u : u(x), i1 (x) dx, i=1 v i, i1 i=1,..., ad Le u be a soluio of (2.1); he, for each, we ca wrie u(, x)=v 1 (), 0 (x)+v 2 (), 1 (x)+ }}} +v (), 1 (x)+w(, x) (2.4) where A deoes A D(A) W =. v* i=* i1 v i +(f(u),, i1 ) 1 w +A w= f(u) : (f(u),, i ), i, i=0

11 A ONE-DIMENSIONAL PARABOLIC PROBLEM 77 Wriig v=(v 1, v 2,..., v ), u=(v, w) ad B a _ diagoal marix B =diag(* 0, * 1,..., * 1 ) we obai he followig sysem v* +B v= g (v, w) w +A w= f (v, w), (2.5) where g (v, w)=((f(v, w),, 0 ),..., (f(v, w),, 1 )) ad f (v, w)= f(v, w) 1 i=0 (f(v, w),, i), i. Theorem 2.1. Le f # C 2 (R, R) be bouded wih bouded firs ad secod derivaives; he, for sufficiely large here exiss a expoeially aracig, smooh ivaria maifold S for (2.5). The flux o S is give by: u(, x)=(v(), _ (v())) where v is soluio of v* +B v= g (v, _ (v)) (2.6) Proof. Le L f e be Lipschiz cosa of f e ad N f e= f. Take L f =L g =L f e, N f =N g =N f e, ;()=*, \()=* 1 ad observe ha ;()\()=? 2 (2+1). The heorem follows form Lemma UNIFORM SPECTRAL CONVERGENCE To compare he asympoic dyamics of he discreized problem wih he asympoic dyamics of he coiuous problem we projec he firs o he ivaria maifold _~ ad he secod o he ivaria maifold _, oly afer ha we are able o compare heir asympoic dyamics. This is accomplished comparig he vecor fields (ow wih same fiie dimesio). To compare he vecor fields we eed o obai a way of comparig B ad B. Tha is achieved if we prove he uiform (wih respec o ) covergece of he eigevalues ad eigefucios of B o he eigevalues ad eigefucios of B as. Aoher way o compare he vecor fields would be projecig boh problems o fixed ivaria maifolds of same dimesio ad he o sudy he covergece of he vecor fields. Tha would ivolve sudyig he covergece of he ivaria maifolds ad would lead o uecessary echical complicaios. This approach has he clear propery ha he eigevalues ad eigefucios (a fixed umber) coverge uiformly. Here we exploi he fac ha for large values of he ivaria maifolds have a very small C 1 orm ad herefore we ca simply eglec hem; o he oher had oe eeds o be careful i order o guaraee he uiform covergece of eigevalues ad eigefucios. Tha is he reaso why we

12 78 BRUSCHI, CARVALHO, AND RUAS-FILHO make he cu bewee he h ad (+1)h eigevalue wih he discree problem havig 3 eigevalues. If we cosider he marix L wih p= 3 we have 3 simple eigevalues ad orhoormal eigefucios for L. Of course hese eigevalues ad eigefucios do o coverge uiformly o he firs 3 eigevalues ad eigefucios of he Neuma Laplacia as. I is also clear ha ay fiie subse of eigevalues of L coverge uiformly o he correspodig eigevalues of he Neuma Laplacia as ad i fac more is rue. The firs eigevalues ad eigefucios of he 3 _ 3 marix L will coverge uiformly o he firs eigevalues ad eigefucios of he Neuma Laplacia as. Tha is wha we prove i Subsecios 3.1 ad Uiform Covergece of Eigevalues The eigevalues of he operaors B ad B are respecively * 3 ad * k k, wih k=0,..., 1. I his case we have ha k? * 2 k k =(k?) }\si 3 2 k? 2 3 * }. Usig he power series expasio of he fucio si we obai * 3 * k k (k?) } 3!\ 2 k? o 2 \\k? 2 +}. Tha way we have ha for k, k=0,..., 1 * 3 * k k (?) } 3!\ 2? o \\ } =o \ 1 + so * 3 k * k 0 for all k=0,..., 1 uiformly, as Uiform Covergece of Eigefucios We will show ha 3 (x)- 2 cos(k?x) k = for sufficiely large ad for all k=0,..., 1. Firs we cosider cos(k?x)cos(k?x j ) for x #[ j1 j, 3 3]. For x #[ j1 j, ] we have ha 3 3 cos(k?x)cos(k?x j ) k?

13 A ONE-DIMENSIONAL PARABOLIC PROBLEM 79 For all k=0,..., 1 ad for all j=1,..., 3 we have cos(k?x)cos(k?x j )? 2 2 ad hece, 3 k (x)- 2 cos(k?x) c 2, for some cosa c. 4. COMPARISON OF THE VECTOR FIELDS Now we show he proximiy of he vecor fields. Deoe by g~ i ad g i he ih coordiae fucio of g ~ ad g respecively. The, we have: g j (v, 0)g~ j (v, 0) = } 3 : k= f ( j1) k \ : 3 (l1) k l+ v l=1 f \ : l=1 v l - 2 cos(l1)?x + - 2cos(j1)?x dx } } 3 : k3 ( 3 f k=1 (k1) 3 ( j1) k \ : 3 (l1) k l+ v l=1 f \ : l=1 v l - 2cos(l1)?x + - 2cos(j1)?x + dx } } 3 : k3 f \ : 3 k=1 (k1) 3 (l1) k l+ v (3 l=1 + } 3 : k3 3\ k=1 k1 f \ : l=1 3 : k=1 k3 (k1) : k3 k=1 (k1) 3 f \ : f l=1 f \ : l=1 3 (l1) k v l+ ( j1) k - 2 cos( j1)?x) dx } v l - 2 cos(l1)?x cos(( j1)?x) dx } } f \ : l=1 } f \ : 3 v (l1) k l+} (3 ( j1) k - 2 cos( j1)?x) dx l=1 3 (l1) k v l+ v l - 2 cos(l1)?x - 2 cos(( j1)?x) dx +} c 2+L c - 2 f : 2 l=1 v l.

14 80 BRUSCHI, CARVALHO, AND RUAS-FILHO Therefore, g (v, _ (v))g~ (v, _~ (v)) Y g (v, _ (v))g (v, 0) Y +g (v, 0)g~ (v, 0) Y +g~ (v, 0)g~ (v, _~ (v)) Y L f _ (v)+l f _~ (v)+ 1 - \ f c +L f!c - 2 +, where! is as i (1.3). Sice, by Lemma 1.3 _ 0ad_~ 0as he g (v, _ (v))g~ (v, _~ (v)) 0 as. Similarly, usig he fac ha f $ is globally Lipschiz, D_ 0 ad D_~ 0 as, we show ha he fucios g (v, _ (v)) ad g~ (v, _~ (v)) are C 1 close. So, we have he followig heorem: Theorem 4.1. Le f # C 2 (R, R) be a bouded fucio wih firs ad secod derivaives. Assume ha he flow o A is srucurally sable. The, for large eough he flow of (2.5) o he aracor A ad he flow of (1.6) o A are opologically equivale. Proof. We firs oe ha, from [He2], we have ha (0.1) is geerically MorseSmale ad herefore, our assumpio o srucural sabiliy is o a srog resricio o he class of maps f uder cosideraio. So, we have ha (0.1) is A-srucurally sable. We also have ha he vecor field of (2.5) is a C 1 small perurbaio of he (1.6) ad he heorem is proved. 5. FURTHER COMMENTS Though we have chose o prese he resuls i he simples formulaio hey ca be exeded o much more geeral siuaios. The proofs ca be easily adaped for he case whe f also depeds upo he space variable x. Aoher simple exesio is ha for which f depeds o x, u ad u x. The laer ca be doe if he fucio f(x, u, u x ) is a locally Lipschiz fucio ha saisfies f(x, u, 0) u<0, u >!>0

15 A ONE-DIMENSIONAL PARABOLIC PROBLEM 81 ad f(x, u, p)f(x, u, q) L f pq, \x, u. I his case we use Lemma 1.3 for :=12 ad he compariso of he vecor fields eed addiioal care bu i ca all be accomplished wihou sigifica chage. We poi ou he mai differeces. Firs oe ha he coiuous problem has a global aracor A saisfyig (2.2) ad addiioally here is a cosa C such ha sup u # A sup s #[0,1] u x (s) C. Tha esures ha we may assume ha he olieariy f is globally bouded wih globally bouded parial derivaives of firs ad secod order. The discreized equaios i his case are u* 1= p 2 (u 2 u 1 )+ f(x 1, u 1,0), u* j= p 2 (u j1 2u j +u j+1 ) + f(x j, u j,(p2)(u j+1 u j1 )), j=2, }}}p1 u* p= p 2 (u p1 u p )+ f(x p, u p,0). (5.1) I is easy o check ha if p>l he each recagle of he form [', '] p wih '>! is ivaria ad he resuls of [CDR] esure ha he aracor for he discreized problem is coaied i i he recagle [!,!] p for ay p. To efficiely hadle he depedece of he olieariies o he spaial derivaive we eed o chage from he L 2 seig o he H 1 seig whe obaiig he ivaria maifolds for he coiuous ad discree problems. The coiuous problem ca be projeced o he ivaria maifold obaied from Lemma 1.3 wih :=12. The discree problem eeds more aeio. The firs remark is ha, eve hough i is a fiie dimesioal problem, i should be reaed as is ifiie dimesioal couerpar. Deoe by U=(u 1,..., u p ) ad cosider f p :(R p, ( }, }) 12 ) (R p, ( }, })) defied by f p (U)=( f(x 1, u 1,0), f(x 2, u 2,(p2)(u 3 u 1 )),..., f(x p, u p,0)), where (u, v) 12 =(u, v)+(lu, v) ad ( }, }) is he discree L 2 ier produc. The, we apply Lemma 1.10 for :=12. Afer projecig boh problems o he ivaria maifolds we use he L 2 orm o sudy heir proximiy. The discree ad coiuous spaial derivaive require ha we cosider p= 4 isead of p= 3. As for he spliig of he specrum, i is sill doe bewee he h ad (+1) h eigevalue. Afer hese addiioal cosideraios he proofs will follow as i he case wihou dispersio.

16 82 BRUSCHI, CARVALHO, AND RUAS-FILHO The case of Dirichle boudary codiio ca be reaed i a a compleely similar way. I his case he marix L has o be replaced by he marix 2_ }}} }}} }}} L D = p b b b.. b b b. (0.3) }}} }}} }}} The eigevalues ad eigefucios of L D are give by * k p =4p2 si 2 k? 2( p+1),, k = k? 2k? pk? p si, si,..., si \ p+1 p+1 p+1+, k=1,..., p (see [Sm], for example). Afer ormalizaio of he eigefucios hey ca be used o prove he resuls for he Dirichle boudary codiio case followig he Neuma case sep by sep. Fially we observe ha if we cosider a sysem of oe-dimesioal parabolic equaios of he form (0.1), he same resuls will hold as log as he sysem is srucurally sable. The dissipaiveess assumpios o he fucio f: R R ca be of he form f i (u) u i <0, u i >!, 1i. There are oher dissipaiveess assumpios ha will also work. They are eeded o guaraee ha he aracor for he sysem of parabolic equaios remai bouded i he uiform opology. Tha allow us o cu he olieariy i such a way ha i has bouded firs ad secod derivaives. For he dissipaiveess codiios above he uiform bouds o he aracors are prove i [ACR]. 6. APPENDIX This secio is devoed o he proof of Lemma 1.3. This resul is reproduced from classical ivaria maifold resuls as i [He2]. Is proof is adaped o ecompass he possibiliy ha he space (icludig space

17 A ONE-DIMENSIONAL PARABOLIC PROBLEM 83 dimesio) chages accordig o a parameer ad o rack he depedece of he ivaria maifold upo he parameer. I he case for which we apply he absrac ivaria maifold resul coaied i Lemma 1.3, he parameer is a aural umber. I meas ha we are spliig he phase space io he space geeraed by he firs eigefucios of he problem ad is orhogoal compleme. Afer projecig he hea equaio oo hese spaces we produce he pair of equaios ha appear i he saeme of he lemma. Before we ca sar he proof of he Lemma 1.3 we eed o esablish a geeralized versio of Growall's lemma. Tha requires ha we sudy he covergece of he series E ; (z)= : k=0 z ;k 1(k;+1). I is o hard o see ha E ; is a eire fucio ad followig [E] we may obai ha here is a cosa c such ha E ; (z)ce z. Lemma 6.1 [Geeralized Growall's Lemma]. Le <r,,: [, r] R + be a coiuous fucio, a: [, r] R + be a iegrable fucio, b>0 ad 0<;1. Assume ha The, wih,()a()+b r (s) ;1,(s) ds, r. (6.1),() : k=0 (B k a)() (6.2) B k a()= r (b1(;)) k (s) k;1 a(s) ds. (6.3) 1(k;) Furhermore, if a()#a=cos he we have ha,()ae ; ((b1(;)) 1; (r))ace (b1(;))1; (r), (6.4) if a()=c 0 r (s) : e \(sr) ds, \>0, he we have ha,() c 0 b [E ;((b1(;)) 1; (r))1] c 0 b [ce(b1(;))1; (r) 1] (6.5)

18 84 BRUSCHI, CARVALHO, AND RUAS-FILHO ad fially, if : [, r] R + is a coiuous fucio ad a()= c 0 r (s): e \s (s) ds, \>0 he we have ha,()c 0 c1(;) r (s) ;1 e \s e (b1(;))1; (s) (s) ds. (6.6) The proof of his resul ca be easily adaped from similar resuls coaied i [He2]. Le X ad Y be Baach spaces, A: D(A)/X X be a secorial operaor such ha Re _(A)>0 ad B: D(B)/Y Y be he geeraor of a C 0 -group of bouded liear operaors [S(), 0] o Y. Le [T() 0] be he aaliic semigroup of bouded liear operaors geeraed by A ad deoe by (A) : he : fracioal power of A ad X : =D((A) : ) edowed wih he graph orm. Defiiio 6.1. Le f: X : _Y : X, g: X : _Y : Y be locally Lipschiz coiuous fucios. A se S/X : _Y : is a ivaria maifold for a differeial equaio x* =Ax+ f(x, y) y* =By+ g(x, y), if here exiss _: Y : X : such ha S=[(x, y)#x : _Y : : x=_( y)] ad, for ay (x 0, y 0 )#S, here exiss a soluio (x(}), y( } )) of he differeial equaio o R such ha (x(), y()) # S \ # R. A ivaria maifold S is said expoeially aracig if here are posiive cosas # ad K such ha x()_( y()) X :Ke # x(0)_( y(0)) X :, wheever (x(), y()) is a soluio of he differeial equaio. Proof of Lemma 1.3. The firs sep is o prove he exisece of he ivaria maifold. For D>0, 2>0 give, le _ : Y : X : saisfyig _ := sup _ ( y) X :D, _ ( y)_ ( y$) X :2 y y$ Y :. y # Y : (6.7) Le y()=(, {, ', _ ) be he soluio of dy d =B y+ g (_ ( y), y), for <{, y({)=', (6.8)

19 A ONE-DIMENSIONAL PARABOLIC PROBLEM 85 ad defie G(_ )(')= { e A ({s) f (_ ( y(s)), y(s)) ds. (6.9) Noe ha G(_ )( } ) X : { N f M a ({s) : e ;()({s) ds. (6.10) Le 0 be such ha, for 0, G(_ )( } ) X :D. Nex, suppose ha _ ad _$ are fucios saisfyig (6.7), ', '$#Y : ad deoe y()= (, {, ', _ ), y$()=(, {, '$, _$ ). The, y()y$()=e B '+ ({) { e B (s) g (_ ( y), y) ds Ad e B '$ ({) { e B (s) g (_$ ( y$), y$) ds. y ()y$ () Y : M b e \()({) ''$ Y :+M b { (s) : e \()(s) _g (_ ( y ), y )g (_$ ( y$ ), y$ ) Y ds M b e \()({) ''$ Y : +M b L g { (s) : e \()(s) _(_ ( y )_$ ( y$ ) X :+y y$ Y :) ds M b e \()({) ''$ Y : +M b L g { (s) : e \()(s) _(_ ( y$ )_$ ( y$ ) X :+(1+2) y y$ Y :) ds M b e \()({) ''$ Y : +M b L g { (s) : e \()(s) ((1+2) _y y$ Y :+ $ X :) ds M b e \()({) ''$ Y : +M b L g (1+2) { (s) : e \()(s) y y$ Y : ds +M b L g $ X : { (s) : e \()(s) ds.

20 86 BRUSCHI, CARVALHO, AND RUAS-FILHO Le,()=e \() ({) y ()y$ () Y :. The,,()M b [''$ Y :+L g { (s) : e \()(s{) ds $ X :] +M b L g (1+2) { (s) :,(s) ds. By Geeralized Growall's Lemma y ()y$ () Y :[c 1 ''$ Y :+c 2 $ X :] e [\()+c 1 ]({). where c 1 =(M b L g (1+2) 1(1:)) 1(1:). Thus, G(_ )(')G(_$ )('$) X : M a { ({s) : e ;()({s) f (_ ( y), y)f (_$ ( y$), y$) X ds M a { ({s) : e ;()({s) _(L f _ ( y)_$ ( y$) X :+L f y y$ Y :) ds M a { ({s) : e ;()({s) L f ((1+2) y y$ Y :+ $ ) ds M a { ({s) : e ;()({s) L f (1+c 2 (1+2) e [\()+c 1 ]({s) ) ds _ $ +c 1 M a L f (1+2) { ({s) : e [;()\()c 1 ]({s) ds ''$ Y :. Le I _ ()=M a L f { ({s) : e ;()({s) (1+c 2 (1+2) e [\()+c 1 ]({s) ) ds

21 A ONE-DIMENSIONAL PARABOLIC PROBLEM 87 ad I ' ()=c 1 M a L f (1+2) { ({s) : e [;()\()c 1 ]({s) ds. I is easy o see ha, give %<1, here exiss a 0 such ha, for 0, I _ ()% ad I ' ()2 ad G(_ )(')G(_$ )('$) X :I ' () ''$ Y :+I _ () $. (6.11) The iequaliies (6.10) ad (6.11) imply ha G is a coracio map from he class of fucios ha saisfy (6.7) io iself. Therefore, i has a uique fixed poi _*=G(_ *) i his class. I remais o prove ha S=[( y, _*( y)) : y # Y : ] is a ivaria maifold for (1.10). Le (x 0, y 0 )#S, x 0 =_ *( y 0 ). Deoe by y*() he soluio of he followig iiial value problem dy d =B y+ g (_ *( y), y), y(0)=y 0. This defies a curve (_*( y *()), y *()) # S, of # R. Bu he oly soluio x* =A x+ f (_ *( y *()), y *()), which remais bouded as is x*()= e A (s) f(_ *( y *(s), y *(s)) ds=_ *( y *()). Therefore, (_ *( y *()), y *()) is a soluio of (1.10) hrough (x 0, y 0 ) ad he ivariace is proved. From (6.10) i is clear ha s() 0 as ad from (6.11) ha l() 0as. The ex sep is o prove ha, for large eough, he ivaria maifold S is expoeially aracig. Specifically, if (x (), y ()) is a soluio of (1.10), here are posiive cosas # ad K such ha x ()_ *( y ()) X :Ke # x ( )_ *( y ( )) X :. Le!()=x ()_ *( y ()) ad y *(s, ), s be he soluio of dy * ds =B y *+g (_ *( y *), y *), s, y *(, )=y (), s=.

22 88 BRUSCHI, CARVALHO, AND RUAS-FILHO The, y*(s, )y (s) Y : =e B (s) y *(, )+ s e B (s%) g (_ *( y *(%, )), y *(%, )) d% e B (s) y () s e B (%s) g (x (%), y (%)) d% Y : M b (%s) : e \()(%s) s _g (_ *( y*(%, )), y *(%, ))g (x (%), y (%)) Y d% M b L g (%s) : e \()(%s) s _(_ *( y*(%, ))x (%) X :+y *(%, )y (%) Y :) d% M b L g (%s) : e \()(%s) s _(_ *( y (%))x (%) X :+(1+2)y *(%, )y (%) Y :) d% M b L g (%s) : e \()(%s) s _((1+2) y*(%, )y (%) Y :+!(%) X :) d%. Therefore, z(s)m b L g (1+2) (%s) : z(%) d% s +M b L g (%s) : e \() %!(%) X : d%, s where z(s)=e \() s y *(s, )y () Y :. By Geeralized Growall's Lemma, y*(s, )y (s) Y :c 3 (%s) : e [\()+c 1 ](%s)!(%) X : d%, s s.

23 A ONE-DIMENSIONAL PARABOLIC PROBLEM 89 Le s. I wha follows esimaes for y *(s, )y *(s, ) Y : are obaied. y *(s, )y *(s, ) Y : e B (s ) [ y*( 0, )y ( )] Y : + s e B (s%) [ g (_ *( y *(%, )), y *(%, )) g (_ *( y *(%, )), y *(%, ))] d% Y : c 3 M b e \()( s) (% ) : e [\()+c 1](%)!(%) X : d% +M b L g (1+2) (%s) : e \()(%s) y*(%, )y *(%, ) Y : d%, s ad by Geeralized Growall's Lemma y*(s, )y*(s, ) Y :c 4 (% ) : e [\()+c 1 ](%s)!(%) X :. Nex, he esimaes above are used o esimae!() X :.!()e A ( )!( ) =x ()_ *( y ())e A ( ) (x ( )_ *( y ( ))) = = e A (s) f (x (s), y (s)) ds_ *( y ())+e A ( ) _ *( y ( )) e A (s) f (x (s), y (s)) ds e A (s) f (_*( y *(s, ), y *(s, )) ds +e A ( ) e A ( s) f (_*( y *(s, ), y *(s, )) ds = e A (s) [ f (x (s), y (s))f (_ *( y *(s, ), y *(s, ))] ds e A (s) [ f (_ *( y *(s, ), y *(s, )) f (_ *( y *(s, ), y *(s, ))] ds

24 90 BRUSCHI, CARVALHO, AND RUAS-FILHO ad z()=!()e A ( )!( ) X : M a L f (s) : e ;()(s) (x (s)_*( y *(s, )) X : +y (s)y *(s, ) Y :) ds +M a L f (1+2) (s) : e ;()(s) _y*(s, )y *(s, ) Y : ds M a L f (s) : e ;()(s)!(s) X : ds +c 3 M a L f (1+2) (s) : e ;()(s) _ (%s) : e [\()+c 1 ](%s)!(%) X : d% ds s +c 4 M a L f (1+2) (s) : e ;()(s) _ (% ) : e [\()+c 1](%s)!(%) X : d% ds M a L f (s) : e ;()(s)!(s) X : ds +c 5 (%) : e ;()(%)!(%) X : _ % (%s) : e [;()(\()+c 1 )](%s) ds d% +c 6 (% ) : e [\()+c 1](%)!(%) X : _ (s) : e [;()[\()+c 1 ]](s) ds d% c 5 1(1:) 1: _M al f + [;()\()c 1 ] (s) : e ;()(s)!(s) X : ds c + 6 1(1:) [;()\()c 1 ] (% 1: 0 ) : e [\()+c 1 ](%)!(%) X : d%.

25 A ONE-DIMENSIONAL PARABOLIC PROBLEM 91 Thus,!() X :M a e ;()( )!( ) X : c +[M a L f + 5 1(1:) [;()\()c 1 ] 1:] _ (s) : e ;()(s)!(s) X : ds c 6 1(1:) + [;()\()c 1 ] (s 1: 0 ) : e [\()+c 1](s)!(s) X : ds ad, if w()=sup[!(s) X :, s], he where e ;()( )!() X :M a!( ) X :+#() e ;()( ) w() #()= 1(1:) ;() [M c 5 1(1:) c al 1: f + [;()\()c 1 ] 1:]+ 6 1(1:) K [;()\()c 1 ] 1: where K=sup '0 ( ' 0 u: e [\()+c 1 ](u') du). Choose 0 >0 such ha #() 1 2 for every 0. Therefore ad e ;()( )!() X :e ;()( ) w()m a!( ) X :+#() e ;()( ) w()!() X :2M a!( ) X : e ;()( ). The smoohess of _ * is proved i he same way as i [He2] ad he esimae for he derivaive follows from he esimae for is Lipschiz cosa. This cocludes he proof. REFERENCES [ACR] J. Arriea, A. N. Carvalho, ad A. Rodriguez-Beral, Aracors for parabolic problems wih oliear boudary codiios. Uiform bouds, Comm. Parial Differeial Equaios 25 (2000), 137. [C] A. N. Carvalho, Reacio-diffusio problems wih oliear boudary codiios i cell issues, Resehas 3 (1997), [CDR] A. N. Carvalho, T. Dloko, ad H. M. Rodrigues, Upper semicoiuiy of aracors ad sychroizaio, J. Mah. Aal. Appl. 220 (1998), [CP] A. N. Carvalho ad A. L. Pereira, A scalar parabolic equaio whose asympoic behavior is dicaed by a sysem of ordiary differeial equaios, J. Differeial Equaios 112 (1994),

26 92 BRUSCHI, CARVALHO, AND RUAS-FILHO [CH] R. G. Case ad C. J. Hollad, Isabiliy resuls for reacio diffusio equaios wih Neuma boudary codiios, J. Differeial Equaios 27 (1978), [Ch] N. Chafee, Asympoic behavior for soluios of a oe-dimesioal parabolic equaio wih homogeeous Neuma boudary codiios, J. Differeial Equaios 18 (1975), [CI] N. Chafee ad E. F. Ifae, A bifurcaio problem for a oliear parial differeial equaio of parabolic ype, Appl. Aal. 4 (1974), [E] M. A. Evgrafov, ``Asympoic Esimaes ad Eire Fucios,'' Gordo ad Breach, New York, [FR] B. Fiedler ad C. Rocha, Orbi equivalece of global aracors of semiliear parabolic differeial equaios, Tras. Amer. Mah. Soc. 352 (2000), [FO] G. Fusco ad W. M. Oliva, Jacobi marices ad rasversaliy, Proc. Royal Soc. Ediburgh Sec. A 109 (1998), [Ha] J. Hale, Numerical ad Dyamics, ``Chaoic Numerics,'' Coemporary Mahemaics, Vol. 172, pp. 130, Amer. Mah. Soc., Providece, RI, [He1] D. Hery, Some ifiie-dimesioal MorseSmale sysems defied by parabolic parial differeial equaios, J. Differeial Equaios 59 (1985). [He2] D. Hery, ``Geomeric Theory of Semiliear Parabolic Equaios,'' Lecure Noes i Mahemaics, Vol. 840, Spriger-Verlag, Berli, [Ro] C. Rocha, Bifurcaios i discreized reacio-diffusio equaios, Resehas IME-USP 1 (1994), [Sm] G. D. Smih, ``Numerical Soluio of Parial Differeial EquaiosFiie Differece Mehods,'' Oxford Uiversiy Press, 1978.

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

1 Notes on Little s Law (l = λw)

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

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions.

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions. Iera. J. Mah. & Mah. Si. Vol. 6 No. 3 (1983) 559-566 559 ASYMPTOTIC RELATIOHIPS BETWEEN TWO HIGHER ORDER ORDINARY DIFFERENTIAL EQUATIONS TAKA KUSANO laculy of Sciece Hrosh llersy 1982) ABSTRACT. Some asympoic

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 2, 206 ISSN 223-7027 A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY İbrahim Çaak I his paper we obai a Tauberia codiio i erms of he weighed classical

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

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

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Basic Results in Functional Analysis

Basic Results in Functional Analysis Preared by: F.. ewis Udaed: Suday, Augus 7, 4 Basic Resuls i Fucioal Aalysis f ( ): X Y is coiuous o X if X, (, ) z f( z) f( ) f ( ): X Y is uiformly coiuous o X if i is coiuous ad ( ) does o deed o. f

More information

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 4 (2014), No. 4, ISSN: Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.

More information

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

A note on deviation inequalities on {0, 1} n. by Julio Bernués* A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs America Joural of Compuaioal Mahemaics, 04, 4, 80-88 Published Olie Sepember 04 i SciRes. hp://www.scirp.org/joural/ajcm hp://dx.doi.org/0.436/ajcm.04.4404 Mea Square Coverge Fiie Differece Scheme for

More information

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form Joural of Applied Mahemaics Volume 03, Aricle ID 47585, 7 pages hp://dx.doi.org/0.55/03/47585 Research Aricle A Geeralized Noliear Sum-Differece Iequaliy of Produc Form YogZhou Qi ad Wu-Sheg Wag School

More information

If boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are:

If boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are: 3. Iiial value problems: umerical soluio Fiie differeces - Trucaio errors, cosisecy, sabiliy ad covergece Crieria for compuaioal sabiliy Explici ad implici ime schemes Table of ime schemes Hyperbolic ad

More information

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

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

More information

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

Boundary-to-Displacement Asymptotic Gains for Wave Systems With Kelvin-Voigt Damping

Boundary-to-Displacement Asymptotic Gains for Wave Systems With Kelvin-Voigt Damping Boudary-o-Displaceme Asympoic Gais for Wave Sysems Wih Kelvi-Voig Dampig Iasso Karafyllis *, Maria Kooriaki ** ad Miroslav Krsic *** * Dep. of Mahemaics, Naioal Techical Uiversiy of Ahes, Zografou Campus,

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

A Note on Random k-sat for Moderately Growing k

A Note on Random k-sat for Moderately Growing k A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics

More information

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue

More information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

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

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

More information

Convergence of Solutions for an Equation with State-Dependent Delay

Convergence of Solutions for an Equation with State-Dependent Delay Joural of Mahemaical Aalysis ad Applicaios 254, 4432 2 doi:6jmaa2772, available olie a hp:wwwidealibrarycom o Covergece of Soluios for a Equaio wih Sae-Depede Delay Maria Barha Bolyai Isiue, Uiersiy of

More information

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form,

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form, Lecure 6. Adapive Corol i he Presece of Bouded Disurbaces Cosider MIMO sysems i he form, x Aref xbu x Bref ycmd (.) y Cref x operaig i he presece of a bouded ime-depede disurbace R. All he assumpios ad

More information

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),

MATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b), MATH 57a ASSIGNMENT 4 SOLUTIONS FALL 28 Prof. Alexader (2.3.8)(a) Le g(x) = x/( + x) for x. The g (x) = /( + x) 2 is decreasig, so for a, b, g(a + b) g(a) = a+b a g (x) dx b so g(a + b) g(a) + g(b). Sice

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Persistence of Elliptic Lower Dimensional Invariant Tori for Small Perturbation of Degenerate Integrable Hamiltonian Systems

Persistence of Elliptic Lower Dimensional Invariant Tori for Small Perturbation of Degenerate Integrable Hamiltonian Systems JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 08, 37387 997 ARTICLE NO. AY97533 Persisece of Ellipic Lower Dimesioal Ivaria Tori for Small Perurbaio of Degeerae Iegrable Hamiloia Sysems Xu Juxiag Deparme

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS M.A. (Previous) Direcorae of Disace Educaio Maharshi Dayaad Uiversiy ROHTAK 4 Copyrigh 3, Maharshi Dayaad Uiversiy, ROHTAK All Righs Reserved. No par of his publicaio may be reproduced

More information

A Robust H Filter Design for Uncertain Nonlinear Singular Systems

A Robust H Filter Design for Uncertain Nonlinear Singular Systems A Robus H Filer Desig for Ucerai Noliear Sigular Sysems Qi Si, Hai Qua Deparme of Maageme Ier Mogolia He ao College Lihe, Chia College of Mahemaics Sciece Ier Mogolia Normal Uiversiy Huhho, Chia Absrac

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

More information

On the Existence and Uniqueness of Solutions for Nonlinear System Modeling Three-Dimensional Viscous Stratified Flows

On the Existence and Uniqueness of Solutions for Nonlinear System Modeling Three-Dimensional Viscous Stratified Flows Joural of Applied Mahemaics ad Physics 58-59 Published Olie Jue i SciRes hp://wwwscirporg/joural/jamp hp://dxdoiorg/6/jamp76 O he Exisece ad Uiqueess of Soluios for oliear Sysem Modelig hree-dimesioal

More information

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme America Joural of Compuaioal ad Applied Maemaics, (6): 77-8 DOI:.59/.acam.6. Numerical Soluio of Parabolic Volerra Iegro-Differeial Equaios via Bacward-Euler Sceme Ali Filiz Deparme of Maemaics, Ada Mederes

More information

Solution. 1 Solutions of Homework 6. Sangchul Lee. April 28, Problem 1.1 [Dur10, Exercise ]

Solution. 1 Solutions of Homework 6. Sangchul Lee. April 28, Problem 1.1 [Dur10, Exercise ] Soluio Sagchul Lee April 28, 28 Soluios of Homework 6 Problem. [Dur, Exercise 2.3.2] Le A be a sequece of idepede eves wih PA < for all. Show ha P A = implies PA i.o. =. Proof. Noice ha = P A c = P A c

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

FRACTIONAL SYNCHRONIZATION OF CHAOTIC SYSTEMS WITH DIFFERENT ORDERS

FRACTIONAL SYNCHRONIZATION OF CHAOTIC SYSTEMS WITH DIFFERENT ORDERS THE PUBLISHING HOUSE PROCEEINGS OF THE ROMANIAN ACAEMY, Series A, OF THE ROMANIAN ACAEMY Volume 1, Number 4/01, pp 14 1 FRACTIONAL SYNCHRONIZATION OF CHAOTIC SYSTEMS WITH IFFERENT ORERS Abolhassa RAZMINIA

More information

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix 4h Ieraioal Coferece o Sesors, Mecharoics ad Auomaio (ICSMA 06) A Complex Neural Newor Algorihm for Compuig he Larges eal Par Eigevalue ad he correspodig Eigevecor of a eal Marix HANG AN, a, XUESONG LIANG,

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming* The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*

More information

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case

More information

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

Additional Tables of Simulation Results

Additional Tables of Simulation Results Saisica Siica: Suppleme REGULARIZING LASSO: A CONSISTENT VARIABLE SELECTION METHOD Quefeg Li ad Ju Shao Uiversiy of Wiscosi, Madiso, Eas Chia Normal Uiversiy ad Uiversiy of Wiscosi, Madiso Supplemeary

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier America Joural of Applied Mahemaics ad Saisics, 015, Vol. 3, No. 5, 184-189 Available olie a hp://pubs.sciepub.com/ajams/3/5/ Sciece ad Educaio Publishig DOI:10.1691/ajams-3-5- The Mome Approximaio of

More information

A Study On (H, 1)(E, q) Product Summability Of Fourier Series And Its Conjugate Series

A Study On (H, 1)(E, q) Product Summability Of Fourier Series And Its Conjugate Series Mahemaical Theory ad Modelig ISSN 4-584 (Paper) ISSN 5-5 (Olie) Vol.7, No.5, 7 A Sudy O (H, )(E, q) Produc Summabiliy Of Fourier Series Ad Is Cojugae Series Sheela Verma, Kalpaa Saxea * Research Scholar

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

Extended Laguerre Polynomials

Extended Laguerre Polynomials I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College

More information

Mathematical Statistics. 1 Introduction to the materials to be covered in this course

Mathematical Statistics. 1 Introduction to the materials to be covered in this course Mahemaical Saisics Iroducio o he maerials o be covered i his course. Uivariae & Mulivariae r.v s 2. Borl-Caelli Lemma Large Deviaios. e.g. X,, X are iid r.v s, P ( X + + X where I(A) is a umber depedig

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Lecture 15: Three-tank Mixing and Lead Poisoning

Lecture 15: Three-tank Mixing and Lead Poisoning Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

Completeness of Random Exponential System in Half-strip

Completeness of Random Exponential System in Half-strip 23-24 Prepri for School of Mahemaical Scieces, Beijig Normal Uiversiy Compleeess of Radom Expoeial Sysem i Half-srip Gao ZhiQiag, Deg GuaTie ad Ke SiYu School of Mahemaical Scieces, Laboraory of Mahemaics

More information

Fuzzy Dynamic Equations on Time Scales under Generalized Delta Derivative via Contractive-like Mapping Principles

Fuzzy Dynamic Equations on Time Scales under Generalized Delta Derivative via Contractive-like Mapping Principles Idia Joural of Sciece ad echology Vol 9(5) DOI: 7485/ijs/6/v9i5/8533 July 6 ISSN (Pri) : 974-6846 ISSN (Olie) : 974-5645 Fuzzy Dyamic Euaios o ime Scales uder Geeralized Dela Derivaive via Coracive-lie

More information

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY ZHEN-GUO DENG ad GUO-CHENG WU 2, 3 * School of Mahemaics ad Iformaio Sciece, Guagi Uiversiy, Naig 534, PR Chia 2 Key Laboraory

More information

LIMITS OF FUNCTIONS (I)

LIMITS OF FUNCTIONS (I) LIMITS OF FUNCTIO (I ELEMENTARY FUNCTIO: (Elemeary fucios are NOT piecewise fucios Cosa Fucios: f(x k, where k R Polyomials: f(x a + a x + a x + a x + + a x, where a, a,..., a R Raioal Fucios: f(x P (x,

More information

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations.

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations. Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Chaper 7 Sysems of s Order Liear Differeial Equaios saddle poi λ >, λ < Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Mah-33 Chaper 7 Liear sysems

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

On stability of first order linear impulsive differential equations

On stability of first order linear impulsive differential equations Ieraioal Joural of aisics ad Applied Mahemaics 218; 3(3): 231-236 IN: 2456-1452 Mahs 218; 3(3): 231-236 218 as & Mahs www.mahsoural.com Received: 18-3-218 Acceped: 22-4-218 IM Esuabaa Deparme of Mahemaics,

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f

More information

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

GAUSSIAN CHAOS AND SAMPLE PATH PROPERTIES OF ADDITIVE FUNCTIONALS OF SYMMETRIC MARKOV PROCESSES

GAUSSIAN CHAOS AND SAMPLE PATH PROPERTIES OF ADDITIVE FUNCTIONALS OF SYMMETRIC MARKOV PROCESSES The Aals of Probabiliy 996, Vol, No 3, 3077 GAUSSIAN CAOS AND SAMPLE PAT PROPERTIES OF ADDITIVE FUNCTIONALS OF SYMMETRIC MARKOV PROCESSES BY MICAEL B MARCUS AND JAY ROSEN Ciy College of CUNY ad College

More information

Wave Equation! ( ) with! b = 0; a =1; c = c 2. ( ) = det ( ) = 0. α = ±c. α = 1 2a b ± b2 4ac. c 2. u = f. v = f x ; t c v. t u. x t. t x = 2 f.

Wave Equation! ( ) with! b = 0; a =1; c = c 2. ( ) = det ( ) = 0. α = ±c. α = 1 2a b ± b2 4ac. c 2. u = f. v = f x ; t c v. t u. x t. t x = 2 f. Compuaioal Fluid Dyamics p://www.d.edu/~gryggva/cfd-course/ Compuaioal Fluid Dyamics Wave equaio Wave Equaio c Firs wrie e equaio as a sysem o irs order equaios Iroduce u ; v ; Gréar Tryggvaso Sprig yieldig

More information

On The Eneström-Kakeya Theorem

On The Eneström-Kakeya Theorem Applied Mahemaics,, 3, 555-56 doi:436/am673 Published Olie December (hp://wwwscirporg/oural/am) O The Eesröm-Kakeya Theorem Absrac Gulsha Sigh, Wali Mohammad Shah Bharahiar Uiversiy, Coimbaore, Idia Deparme

More information

arxiv: v2 [math.ap] 28 Sep 2009

arxiv: v2 [math.ap] 28 Sep 2009 REGULARITY OF MINIMIZERS OF SEMILINEAR ELLIPTIC PROBLEMS UP TO DIMENSION FOUR arxiv:99.4696v2 [mah.ap] 28 Sep 29 XAVIER CABRÉ Absrac. We cosider he class of semi-sable soluios o semiliear equaios u = f(u)

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

Solutions to Problems 3, Level 4

Solutions to Problems 3, Level 4 Soluios o Problems 3, Level 4 23 Improve he resul of Quesio 3 whe l. i Use log log o prove ha for real >, log ( {}log + 2 d log+ P ( + P ( d 2. Here P ( is defied i Quesio, ad parial iegraio has bee used.

More information

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models Oulie Parameer esimaio for discree idde Markov models Juko Murakami () ad Tomas Taylor (2). Vicoria Uiversiy of Welligo 2. Arizoa Sae Uiversiy Descripio of simple idde Markov models Maximum likeliood esimae

More information

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions Reserch Ivey: Ieriol Jourl Of Egieerig Ad Sciece Vol., Issue (April 3), Pp 8- Iss(e): 78-47, Iss(p):39-6483, Www.Reserchivey.Com Exisece Of Soluios For Nolier Frciol Differeil Equio Wih Iegrl Boudry Codiios,

More information

Fermat Numbers in Multinomial Coefficients

Fermat Numbers in Multinomial Coefficients 1 3 47 6 3 11 Joural of Ieger Sequeces, Vol. 17 (014, Aricle 14.3. Ferma Numbers i Muliomial Coefficies Shae Cher Deparme of Mahemaics Zhejiag Uiversiy Hagzhou, 31007 Chia chexiaohag9@gmail.com Absrac

More information

The Connection between the Basel Problem and a Special Integral

The Connection between the Basel Problem and a Special Integral Applied Mahemaics 4 5 57-584 Published Olie Sepember 4 i SciRes hp://wwwscirporg/joural/am hp://ddoiorg/436/am45646 The Coecio bewee he Basel Problem ad a Special Iegral Haifeg Xu Jiuru Zhou School of

More information

A Novel Approach for Solving Burger s Equation

A Novel Approach for Solving Burger s Equation Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 93-9466 Vol. 9, Issue (December 4), pp. 54-55 Applicaios ad Applied Mahemaics: A Ieraioal Joural (AAM) A Novel Approach for Solvig Burger s Equaio

More information

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Yugoslav Joural of Operaios Research 8 (2008, Number, 53-6 DOI: 02298/YUJOR080053W NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Jeff Kuo-Jug WU, Hsui-Li

More information