Travelling waves for a thin liquid film with surfactant on an inclined plane

Size: px
Start display at page:

Download "Travelling waves for a thin liquid film with surfactant on an inclined plane"

Transcription

1 IOP PUBLISHING Nonlinearity (009) 85 NONLINEARITY doi:0.088/ ///006 Travelling waves for a tin liquid film wit surfactant on an inclined plane Vaagn Manukian and Stepen Scecter Matematics Department, Nort Carolina State University, Box 805, Raleig, NC 7695 USA vemanuki@ncsu.edu and scecter@mat.ncsu.edu Received 7 April 008, in final form September 008 Publised 5 December 008 Online at stacks.iop.org/non//85 Recommended by B Eckardt Abstract We sow te existence of travelling wave solutions for a lubrication model of surfactant-driven flow of a tin liquid film down an inclined plane, in various parameter regimes. Our arguments use geometric singular perturbation teory. Matematics Subject Classification: 76D08, 34B6, 34B40, 34C37 (Some figures in tis article are in colour only in te electronic version). Introduction We study te flow of a tin liquid film down an inclined plane in te presence of a surfactant tat is insoluble and terefore remains on te liquid surface. Te governing system of partial differential equations includes an equation for te fluid eigt and an equation for te surfactant concentration. After an initial normalization, te system contains tree parameters, wic are proportional to deviation of te inclined plane from te perpendicular, te capillary number of te liquid and te diffusion constant of te surfactant. Te model includes te Marangoni force, a tangential force at te liquid surface due to spatial variation in te surfactant concentration. Te reader wo is unfamiliar wit te Marangoni force can observe its effect by placing a small piece of paper in a pan of water and adding a drop of diswasing liquid. Te system of partial differential equations in one space dimension is t ( ) Ɣ x x + α ( 3 ) 3 x = C ( 3 ) xxx 3 x + β ( 3 ) x 3 x, (.) Ɣ t (ƔƔ x ) x + α ( Ɣ ) x = C ( xxx Ɣ ) x + β ( x Ɣ ) x + DƔ xx. (.) In tese equations, x increases as one descends te inclined plane; is te eigt of te liquid film; Ɣ is te concentration of te surfactant on te liquid surface; α (respectively, β) /09/ $ IOP Publising Ltd and London Matematical Society Printed in te UK 85

2 86 V Manukian and S Scecter is proportional to te sine (respectively, cosine) of te smaller angle tat te inclined plane makes wit te orizontal; C is proportional to te capillary number of te liquid and D is proportional to te diffusion constant of te surfactant. We assume α and are positive, so te plane is not orizontal and is not dry anywere; Ɣ, β, C and D are nonnegative. After an initial normalization, α can be made equal to. Our work is motivated by te papers [0, ], were te reader will find discussion of te pysical background and references to te literature. Te focus of tese papers is te existence of travelling wave solutions ((ξ), Ɣ(ξ)), ξ = x st, for wic ( ) = L > R = ( ) are given and Ɣ(ξ) dξ is finite. Te latter condition means tat te total amount of surfactant is finite; te integral is an invariant of te system. For certain values of te parameters, L, and R, te autors of tese papers find tat tere is a one-parameter family of suc travelling waves, parametrized by Ɣ(ξ) dξ. In oter words, given te amount of surfactant, tere is a travelling wave. Te autors of [0, ] consider cases in wic at least one of te parameters C, D and β is zero. Our interest in tis paper is te case in wic all tree of tese parameters are positive. Anoter contrast wit [0, ] is tat we make extensive use of geometric singular perturbation teory [6 8]. For te same range of L and R considered in [0, ] we sow, in certain parts of parameter space, te existence of a one-parameter family of travelling waves, and describe te outstanding features of tese waves. In oter parts of parameter space we elucidate te underlying geometry but are not able to provide existence proofs. We note tat te paper [] includes a numerical simulation of te partial differential equation (.) (.) wit C, D and β all positive in wic a travelling wave clearly develops (figures 7 and 8 of []). Tus tere is numerical evidence tat te travelling waves we study are asymptotically stable, at least in part of parameter space. As far as we know, tere as not yet been a systematic numerical investigation of parameter space to determine weter stability persists, nor is tere yet a proof of stability for any parameter values. Te plan of te paper is as follows. We begin, in section, by deriving tree normalizations of system (.) (.), and we describe six regions of parameter space tat we will study in some detail; see figure. In section 3 we derive te travelling wave system as a first-order system in R 4. In section 6 we examine equilibria and invariant spaces for te travelling wave system in R 4. Te travelling waves we seek correspond to solutions of te travelling wave system tat connect two equilibria. Te equilibria ave unstable and stable manifolds of dimensions 3 and 3, respectively, so if tey meet transversally, tey do so in a two-dimensional manifold, wic represents a one-parameter family of travelling waves. In section 4, we sow numerical computations of some travelling waves, in order to familiarize te reader wit teir typical features. Tese features include, for certain values of te parameters and amount of surfactant: () nonmonotonicity of (ξ), leading to a capillary ridge; () a four-step appearance to te grap of (ξ) and (3) bot presence and absence of oscillations in te grap of (ξ), depending on te parameter values. In section 5 we derive some preliminary results. One is a compactification of te travelling wave system at Ɣ = tat is convenient for studying travelling waves wit large Ɣ, i.e. large concentrations of surfactant. Two oter preliminary results give existence and transversality of connecting orbits for a class of first-order systems in R 3. Tese systems correspond to te tird-order equation... Bḣ + F () = 0 wit B 0, F () = 0 at two points, and F () < 0 if and only if is between tose points. Tere is a literature on existence of connecting orbits

3 Travelling waves for a tin liquid film 87 for systems in tis class, wic we review. Te transversality result seems to be new. It states tat if F as a unique critical point and, along te connecting orbit, (t) passes troug tat point only once, ten te connecting orbit represents a transversal intersection of te unstable and stable manifolds of two equilibria. In section 7 we sow tat for any positive parameter values, connecting orbits of te travelling wave system wit Ɣ small exist, provided te transversality condition just mentioned olds witin te tree-dimensional invariant space Ɣ = 0. In sections 8 3 we investigate te six regions of parameter space in some detail. For eac of te six regions, we work wit one of te tree normalizations of (.) (.). We fix L and R in te range considered in [0, ] and study te existence of connecting orbits. In eac region at least one normalized parameter is small. Our metod is always to allow te small normalized parameters to approac 0, possibly wit some rescalings, and look at te limit. In region we explain some of te geometry but are not able to prove anyting. In regions and 4 tere is a two-dimensional normally yperbolic invariant manifold on wic connecting orbits wit max Ɣ arbitrary exist. In region 3, if a transversality condition olds, ten again connecting orbits wit max Ɣ arbitrary exist, but tey do not stay in a twodimensional normally yperbolic invariant manifold. Regions 5 and 6 are te most interesting from te point of view of geometric singular perturbation teory. In bot regions a two-dimensional invariant manifold loses normal yperbolicity wen Ɣ and a parameter become 0. In tis situation Ɣ and te parameter must be simultaneously rescaled. In geometric singular perturbation teory tis procedure is called blowing-up [5, 9]. Typically one obtains a system on a neigbourood of a spere, wic must be studied in several coordinate patces. In our situations, owever, we are able to coose coordinates in wic te connecting orbits lie in a single coordinate patc, wic we believe makes te analysis easier to follow. In regions 5 and 6, we do not sow tat for fixed parameter values, connecting orbits wit max Ɣ arbitrary exist. Instead, in region 5 (respectively, region 6), connecting orbits wit max Ɣ η (respectively, η max Ɣ η ) are proved to exist, were η 0 as a parameter goes to 0. In region 5 te connecting orbits again lie in a two-dimensional invariant manifold, but in te limit tis manifold becomes two planes at rigt angles to eac oter, wit normally yperbolic equilibria along te line of intersection. Tracking solutions as tey pass near suc a line of equilibria requires wat te second autor as called a corner lemma [6]. We prove suc a lemma appropriate to te present situation in section.3. In region 6 te connecting orbits begin and end in te tree-dimensional unstable and stable manifolds of te equilibria, and teir middle portions lie near (not in) two-dimensional invariant manifolds like tose for region 5. However, te line of equilibria in te limit is not normally yperbolic. Tus two additional complications are introduced. A corner lemma appropriate to tis situation is proved in section 5. Te proofs of te corner lemmas follow an outline based on Deng s lemma tat was recently used to prove a general excange lemma [7]. Complex eigenvalues at an equilibrium of te travelling wave equation correspond to travelling waves tat oscillate at te end tat corresponds to tat equilibrium. Tey occur in regions and 3. Complex eigenvalues are discussed in section 6. We conclude te paper by discussing in section 6 te resemblance between te travelling waves in te various regions and te travelling waves, described in [], in nearby parts of parameter space were one parameter is 0.

4 88 V Manukian and S Scecter ~ C (N3) ~ C 3 ~ β 3 ~ β (N) 6 ~ D 5 ~ C ~ D 3 ~ β 4 (N) ~ D Figure. Te equivalence classes include lines troug te origin in D β-space; curves C = constant D 3 in C D-space and curves C = constant β 3 in C β-space. Te normalized coordinate systems (N), (N) and (N3) are sown, as are regions 6 described below. Eac region is coloured in te coordinate system in wic it is analysed.. Partial differential equations and normalizations Te scaling x = αx, t = α t (.) converts (.) (.) to te following equivalent system, in wic we ave dropped te tildes over te scaled variables: t ( Ɣ x ) x + 3 Ɣ t (ƔƔ x ) x + ( 3 ) x = C ( 3 xxx 3 )x + β ( 3 ) x 3 x, (.) ( Ɣ ) x = C ( xxx Ɣ ) x + β ( x Ɣ ) x + DƔ xx. (.3) In (.) (.3), C = α C, D = D and β = β. Note tat α as become. In (.) (.3), te system wit parameters ( C, D, β) is considered equivalent to te system wit parameters (Ĉ, ˆD, ˆβ) if te first can be converted to te second by scaling te variables x, t and Ɣ; we avoid scaling in order to keep te values of L and R fixed. Te scaling is necessarily of te form ˆx = kx, ˆt = kt, ˆƔ = kɣ, (.4) wit k>0. Ten Ĉ = k 3 C, ˆD = k D and ˆβ = k β. Te equivalence class of eac point oter tan te origin in {( C, D, β) : C 0, D 0, β 0} is a curve. See figure. By an appropriate coice of k we can make C, D or β equal to. We tus obtain tree two-parameter normalizations of (.) (.). Tey are system (.) (.3) wit te parameters (N) C =, D = α 3 C 3 D and β = α 3 C 3 β or (N) C = α CD 3, D =, β = D β or (N3) C 3 = α Cβ 3, D 3 = Dβ and β 3 =. Eac two-parameter normal form can be tougt of as a local cross-section to te equivalence classes in C D β-space. See figure.

5 Travelling waves for a tin liquid film 89 Te tree normal forms are related as follows: C = D 3, β = D β ; D = C 3, β = C 3 β ; (.5) C 3 = β 3 C, D 3 = β ; C = C 3 D 3 3, β = D 3 ; (.6) C 3 = β 3, D 3 = β D ; D = C 3 3 D 3, β = C 3 3. (.7) Our goal is to study te existence and structure of travelling waves of (.) (.) of te form ((ξ), Ɣ(ξ)), ξ = x st, ( ) = L, ( ) = R, Ɣ(± ) = 0. (.8) We ave replaced te condition tat Ɣ(ξ) dξ be finite wit te condition Ɣ(± ) = 0; te latter implies te former if Ɣ(ξ) approaces 0 exponentially as ξ ±, wic will be te case. We are concerned only wit C, D and β all positive. However, we are especially interested in te limits C 0, D 0 and β 0, as well as allowing more tan one of tese parameters to approac 0 simultaneously. We sall study te cases in wic one or two parameters approac 0 by allowing one or two normalized parameters to approac 0 in system (.) (.3) wit parameters (N), (N) or (N3). By reinterpreting te results one of course obtains considerable information about te limit in wic all tree of C, D, β approac 0. We sall study te following six regions in some detail. We describe eac region in only te system of normalized parameters in wic we sall study it. Formulae (.5) (.7) and figure can be used to find te equivalent regions in te oter systems. In te description of eac region, η i > 0 and δ i > 0 are small; if bot are used, te coice of δ i depends on η i. Region : C =, 0 < D δ,0< β η. Region : 0 < C 3 δ, η D 3 η, β 3 =. Region 3: η 3 β 3 C η 3 β 3, D =, 0 < β δ 3. Region 4: η 4 β 5 C η 4 β 5, D =, 0 < β δ 4. Region 5: 0 < C 3 δ 5 D 3,0< D 3 δ 5, β 3 =. Region 6: 0 < C 3 δ 6,0< D 3 δ 6 C 3, β 3 =. Te numbers η i and δ i are cosen separately for eac region, so, depending on tese coices, many of te regions may overlap. Figure sows te regions for one way of coosing te numbers η i and δ i. Regions and 5 can overlap, as can regions and 6; tese pairs of regions are sown as adjacent. 3. Travelling wave system In te normalized system (.) (.3), we look for a solution of te form (.8). After integration we obtain te system of ODEs were s Ɣ = C β K, (3.) sɣ ƔƔ + Ɣ = C Ɣ + β Ɣ + DƔ, (3.) s = 3 ( L + L R + R ), K = 3 L R ( L + R ).

6 90 V Manukian and S Scecter We now rewrite (3.) and (3.) as a first-order system. We first rewrite (3.) and (3.) as β C = ( 3 3s 3K 3 3 ) Ɣ, (3.3) β C = ( ) Ɣ Ɣ sɣ ƔƔ DƔ. (3.4) We equate te rigt-and sides of (3.3) and (3.4), and solve for Ɣ : Ɣ = Ɣ s +3K Ɣ +4 D. (3.5) Next we substitute (3.5) into (3.3): β C = ( 3 3s 3K 3 3Ɣ s +3K ). (3.6) Ɣ +4 D Writing (3.6), (3.5) as a first-order system, we obtain = u, (3.7) u = v, (3.8) Cv = βu ( 3 3s 3K 3 3Ɣ s +3K ), (3.9) Ɣ +4 D Ɣ = Ɣ s +3K Ɣ +4 D. (3.0) To avoid te possibility of dividing by zero in a limit, we rescale by multiplying te rigt-and side of (3.7) (3.0) by Ɣ +4 D. Let H () = ( 3 ) 3s 3K 3, Q() = (s +3K ), P () = H () 3 Q() = 3 ( 3 6s K ). We obtain te travelling wave system ḣ = (Ɣ +4 D)u, (3.) u = (Ɣ +4 D)v, (3.) ( ) ( ) C v = Ɣ βu P () +4 D βu H (), (3.3) Ɣ = ƔQ(). (3.4) Note tat s and K ave been absorbed into P, Q and H. Tus L and R ave been fixed; owever, C, D and β are parameters. We consider tis system wit >0, u and v arbitrary, Ɣ 0. We sall assume 0 < R < L < ( 3 ) R. (3.5) Ten by [] tere are numbers, and, wit suc tat See figure. 0 < R < < < L <, H () = 3 ( L)( R )( + L + R ), P () = 3 ( )( )( + + ). Q() = s ( ),

7 Travelling waves for a tin liquid film 9 R Q() H() P() * L Figure. Te functions Q(), H () and P (). We are interested in solutions of te travelling wave system (3.) (3.4) tat satisfy te boundary conditions (, u, v, Ɣ)( ) = ( L, 0, 0, 0), (, u, v, Ɣ)( ) = ( R, 0, 0, 0). (3.6) Tese solutions correspond to travelling wave solutions of te system of PDEs (.) (.3) of te form (.8). 4. Numerical results We consider te travelling wave system (3.) (3.4), wit te boundary conditions (3.6). We sall typically refer to te rescaled independent variable in tis and oter differential equations as time t, wit te ope tat tis will not cause confusion. To satisfy te boundary conditions, we want solutions tat lie in te unstable manifold of ( L, 0, 0, 0) and te stable manifold of ( R, 0, 0, 0). Denote te linear approximations of tese manifolds by E u ( L, 0, 0, 0) and E s ( R, 0, 0, 0); teir equations are readily computable. In order to approximate solutions numerically, we coose times T <T and searc for solutions tat lie in E u ( L, 0, 0, 0) at time T and in E s ( R, 0, 0, 0) at time T. Te error due to tis approximation decays exponentially as T and T increase; see [] for te metod of analysis. Te numbers C, D, β, L, R, T T Ɣ(t) dt, T and T are regarded as parameters. We set C = D = β =, L = 4, R = and T T Ɣ(t) dt = 0. Te last coice implies tat Ɣ 0, so equation (3.) can temporarily be dropped. Using xpp (available from ttp:// bard/xpp/xpp.tml) we found pictorially a solution of (3.) (3.4) wit Ɣ = 0 tat approximately connects (4, 0, 0) to (, 0, 0). Te time interval on wic te solution is defined gives T and T. We now ave an approximate solution of our boundary value problem for certain values of te parameters. Using AUTO (available from ttp://indy.cs.concordia.ca/auto) we can improve tis solution and, in principle, continue it as any of te parameters vary. Figure 3 sows tree computed travelling waves wit L = 4, R = and max Ɣ, wic is related to T T Ɣ(t) dt, between.06 and.7; te waves are sown as parametrized curves in uvɣ-space projected into te Ɣ-plane. In figure 3(a) te parameters are in or close to region. Te solution oscillates near (, u, v, Ɣ) = (, 0, 0, 0). Tis can be seen more clearly wen te solution is projected onto u-space instead of Ɣ-space; see figure 4. In figure 3(b) te parameters are in or close to region. Te projected solution approaces (4, 0) along te Ɣ-axis but approaces (, 0) from an oblique direction; tere is no oscillation. In figure 3(c) te parameters are in or close to region 5. Te projected solution approaces bot (4, 0) and (, 0) along te Ɣ-axis; tere is no oscillation.

8 9 V Manukian and S Scecter.5 (a).5 (b) Gamma Gamma Gamma (c) Figure 3. Tree computed travelling waves wit L = 4, R = and max Ɣ between.06 and.7; te waves are sown as curves in te Ɣ-plane tat connect (4, 0) to (, 0). (a) ( C, D, β) = (.0, ,.0). (b) ( C, D, β) = ( ,.0,.0). (c) ( C, D, β) = ( , ,.0). We refer to te portions of tese curves tat are near and approximately parallel to te Ɣ- axis as feet. Figures 3(a) and (c) ave two feet; figure 3(b) as one. If we vary te parameters in figure 3(b) a little, te projected solution continues to approac (, 0) obliquely, so tere is still only one foot. Figure 5 sows te effect of canging max Ɣ. Te parameter values are tose of figure 3(c), in region 5. In figure 5(a), for wic max Ɣ is small, bot feet point in. In tis case, (t) is a decreasing function, i.e. te eigt of te travelling wave decreases from = 4 at te left to = at te rigt. In figure 5(a), for wic max Ɣ is large, te foot near (, u) = (4, 0) points out. In tis case te eigt of te travelling wave increases from = 4 at te left to above 5 before decreasing to = at te rigt. Suc an increase in is called a capillary ridge. It is also present in figures 3(a) (c). For max Ɣ large two portions of te curve are approximately vertical. Tey are near = and = defined earlier. For te travelling wave sown in figure 5(b). Figure 6 sows and Ɣ as functions of normalized time. (AUTO normalizes te time interval [T,T ] to [0, ].) Te increase in from 4 to above 5 is te capillary ridge. In addition, te -component of te wave exibits a four-level structure tat is missing or less apparent wen max Ɣ is small; te steps are at = L,, and = R Virtually te entire cange in Ɣ occurs close te time period wen falls from near to near. For more plots of travelling waves see [].

9 Travelling waves for a tin liquid film 93 0 (a) u -0.4 u (b) x 0 5 (c) u Figure 4. (a) Te solution sown in figure 3(a) projected onto u-space instead of Ɣ-space. (b) Zoom into a small rectangle around (, u) = (, 0). (c) Zoom into a smaller rectangle around (, u) = (, 0) (a) (b) Gamma Gamma Figure 5. Travelling waves sown as curves in te Ɣ-plane. Te parameter values are tose of figure 3(c). (a) Solution wit max Ɣ approximately (b) Solution wit max Ɣ approximately Preliminaries 5.. Compactification of te Ɣ-interval We wis to consider travelling waves of all sizes, so tat Ɣ may be large. In order to deal conveniently wit te interval 0 Ɣ <, in (3.) (3.4) we make te cange of variables Ɣ = γ γ, (5.)

10 94 V Manukian and S Scecter 6 5 (a) (b) normalized time Gamma normalized time Figure 6. Te travelling wave of figure 5(b); and Ɣ are sown as functions of normalized time. (AUTO normalizes te time interval in a boundary value problem to [0, ].) so tat te interval 0 Ɣ < corresponds to 0 γ <. After multiplying by γ, we obtain ḣ = (γ +4 D( γ ))u, (5.) u = (γ +4 D( γ ))v, (5.3) ( ( ) C v = γ βu P ()) +4 D( γ ) βu H (), (5.4) γ = γ ( γ ) Q(). (5.5) We consider tis system on >0, u and v arbitrary, 0 γ. Note tat te infinite Ɣ-interval as been compactified. 5.. Linear combinations of P and H Te following proposition will be useful. Most of it is proved in []. Proposition 5.. Let F (a, b, ) = ap () + bh (). If a 0, b 0, and (a, b) (0, 0), ten: () For 0 << R (respectively, << L, respectively, << ), F (a, b, ) is positive (respectively, negative, respectively, positive). () Te equation F (a, b, ) = 0 as exactly two solutions in > 0, wic we denote (a, b) < (a, b). We ave R (a, b) and L (a, b). (3) (0,b)= R, (a, 0) =, (0,b)= L and (a, 0) =. (4) F (a, b, (a, b)) < 0 and F (a, b, (a, b)) > 0. (5) (a,b) 0 F (a, b, ) d >0 and (a,b) (6) Te equation F F (a, b, ) d >0. (a, b, ) = 0 as a unique solution in >0. Proof. () is a consequence of te signs of P and H on te given intervals; see figure. For b = 0 or a = 0, () (6) follow from te formulae for P and H. We terefore assume a>0 and b>0. Write F (a, b, ) = a 3 ( 4 +a 3 3 +a +a +a 0 ) = a 3 ( µ )( µ )( µ 3 )( µ 4 ). For a>0 and b>0, we see from te formulae for P and H tat a 3 = (µ +µ +µ 3 +µ 4 )>0

11 Travelling waves for a tin liquid film 95 and a 0 = µ µ µ 3 µ 4 > 0. By () te equation F (a, b, ) = 0 as at least two solutions in >0, so two µ i are distinct positive numbers. It follows tat te oter two ave negative real part, so we ave (). (4) and (5) follow easily. To prove (6), we calculate tat F = a ( 4 + b b + b + b 0 ) wit b 3 = 0, b > 0 and b 0 < 0. Ten F = 0 if and only if 4 + b + b 0 = b. Te grap of y = 4 + b + b 0 is convex wit a minimum at (0,b 0 ), b 0 < 0. It follows easily tat it meets te grap of y = b in two points, one wit >0, one wit < Connection teorem Let I = (, + ) be an open interval, wit = and + = allowed. Let F : I R be a C function tat satisfies te following conditions. (C) Te equation F () = 0 as exactly two solutions in I. We denote tem a and b, wit b < a. (C) F ( b )<0and F ( a )>0. (C3) a F () d >0and + b F () d >0. See figure 7(a). For example, te tird assumption is satisfied if te integrals are. Consider te system ḣ = u, (5.6) u = v, (5.7) v = Bu F (), (5.8) wit B 0. Tis system as exactly two equilibria, at ( a, 0, 0) and ( b, 0, 0). One easily cecks tat bot are yperbolic, W u ( a, 0, 0) as dimension two, and W s ( b, 0, 0) as dimension two. Teorem 5. (Connection teorem). Assume (C) (C3). Ten W u ( a, 0, 0) and W s ( b, 0, 0) ave nonempty intersection. System (5.6) (5.8) is equivalent to te tird-order equation... Bḣ + F () = 0. Tere is a literature on connecting orbits for tis equation tat is larger tan one migt expect. For B = 0 and F () =, existence of a connecting orbit was proved by Kopell and Howard [3] using sooting, and later by Conley [] using te Conley Index. Troy [8] gave a sooting argument for existence for B = 0 and a different F. For B = 0 and general F, Mock [4] gave a nice sooting argument, but is proof tat a certain function is continuous (top of p 387) is not correct. Micelson [] gave a Conley index proof completely different from tat in [] for B = 0 and general F ; in fact, e allows a more general differential operator of odd order at least 3 in place of.... Renardy [5], motivated by a problem involving surfactants, treated a closely related situation. His proof would apply to B 0 and general F. However, an inequality at te top of p 9 cannot be used on an infinite interval. We follow Micelson s argument, wic easily generalizes to te case B>0. Te proof uses a Lyapunov function and te Conley Index [], and is given in nine steps. In step we give te Lyapunov function. In steps 5 we find bounds on te set of bounded solutions of

12 96 V Manukian and S Scecter F() G() b a * b * a a * b * b a (a) (b) Figure 7. Te functions F () and G() wit = 0 and + =. (5.6) (5.8). In steps 6 9 we deform te set of bounded solutions to te empty set by perturbing (5.6) (5.8), and use te Conley Index conclude te result. Proof.. Let G() = F () d, and let L(, u, v) = uv + G(). See figure 7(b). Ten L = (Bu + v ), so L is decreasing along solutions of (5.6) (5.8).. Let ((t), u(t), v(t)) be a bounded solution of (5.6) (5.8). Ten its α- and ω-limit sets are invariant sets contained in {(, u, v) : L = 0}. It follows easily tat eac is an equilibrium, so lim t ((t), u(t), v(t)) and lim t ((t), u(t), v(t)) are bot equilibria. 3. Using assumption (C3) we see tat tere exist a, < a < b, suc tat G( a ) > G( a) and b, a < b < +, suc tat G( b ) > G( b ). See figure 7(b). 4. Let ((t), u(t), v(t)) be a bounded solution of (5.6) (5.8). We claim tat a < (t) < b for all t. Te proof is by contradiction. Suppose max (t) = (t ) b. Ten L((t ), u(t ), v(t )) = G((t )) because u(t ) = ḣ(t ) = 0. Since (t ) b, G((t )) G( b ) < G( b), and of course G( b ) < G( a ). But L( b, 0, 0) = G( b ) and L( a, 0, 0) = G( a ). Since L is decreasing on solutions, ((t), u(t), v(t)) cannot approac an equilibrium as t. Tis is a contradiction. Similarly, if min (t) a, ten ((t), u(t), v(t)) cannot approac an equilibrium as t. 5. By step 4, for any bounded solution ((t), u(t), v(t)) of (5.6) (5.8), < b. We claim tat if M 0 is cosen sufficiently large, we ave ḣ = u < M 0 and ḧ = v <M 0. Te proof relies on Nirenberg s inequality in R, wic states tat if ( ) p = j + a r m + ( a) q ten tere is a constant C suc tat and j a, (5.9) m w (j) p C w (m) a r w a q (5.0) wenever bot sides of te inequality make sense [3]. Let ((t), u(t), v(t)) be a bounded solution of (5.6) (5.8). From steps and, B(ḣ(t)) + (ḧ(t)) dt = (L( ) L( )) G( a ) G( b ). Terefore tere is a uniform bound on ḧ. By Nirenberg s inequality wit j =, p =, r =, m =, q = and a = 3, ḣ C ḧ 3 3.

13 Travelling waves for a tin liquid film 97 Terefore tere is a uniform bound on ḣ. Let w = v = ḧ. By Nirenberg s inequality wit j = 0, p =, r =, m =, q = and a = 3, ḧ = w C ẇ 3 w 3 = C... 3 ḧ 3. Now te formula... = Bḣ F (), togeter wit our uniform bounds on and ḣ, yields a uniform bound on.... Tis togeter wit our uniform bound on ḧ yields a uniform bound on ḧ. 6. Consider te one-parameter family of differential equations ḣ = u, (5.) u = v, (5.) v = Bu (F () + µ). (5.3) Let µ = min F (). For 0 µ µ, tis system as one or more equilibria on te -axis between ( b, 0, 0) and ( a, 0, 0), and no oter equilibria; for µ>µ, it as no equilibria. 7. For eac µ wit 0 µ µ, let E µ denote te set of points (u, v, w) tat lie in bounded solutions of (5.6) (5.8). From steps 4 and 5, E 0 lies in te interior of te closure of te open set U 0 ={(, u, v) : a < (t) < b, u <M 0, v <M 0 }. E 0 is te largest invariant set contained in U 0, and U 0 is an isolating neigbourood of E 0. By te same argument wit minor modifications, for eac µ wit 0 µ µ, tere is a number M µ > 0 suc tat E µ lies in te interior of te closure of an open set U µ defined like U 0 except tat M 0 is replaced by M µ. 8. It is easy to see tat M µ can be cosen independently of µ for 0 µ µ. Tus we can find a single open set U tat serves as an isolating neigbourood for all te E µ, 0 µ µ. 9. For µ>µ, te system as no bounded solutions. It follows tat te Conley index of E 0 equals te Conley index of te empty set. Since te Conley index of two yperbolic fixed points does not equal te Conley index of te empty set, E 0 must contain a nontrivial solution connecting two equilibria. Because of te Lyapunov function L, it must connect ( a, 0, 0) to ( b, 0, 0) Transversality teorem In addition to te ypoteses of te Connection teorem, assume: (C4) B>0. (C5) F as exactly one critical point c. Of course, b < c < a. If (C5) olds, we will call a solution of (5.6) (5.8) tat lies in W u ( a, 0, 0) W s ( b, 0, 0) a simple connection from ( a, 0, 0) to ( b, 0, 0) if tere is exactly one time t = t c at wic (t) = c. Teorem 5.3 (Transversality teorem). Assume (C) (C5). Let ( (t), u (t), v (t)) be a simple connection from ( a, 0, 0) to ( b, 0, 0). Ten W u ( a, 0, 0) and W s ( b, 0, 0) meet transversally along ( (t), u (t), v (t)).

14 98 V Manukian and S Scecter We note tat Kopell and Howard [3] prove a transversality result for te case B = 0 and F () =, but teir metod does not appear to generalize. Proof. Linearizing (5.6) (5.8) along ( (t), u (t), v (t)), we obtain =ū, ū = v, v = Bū F ( (t)). (5.4) Note tat (t) approaces a (respectively, b ) as t (respectively, t ). Since (5.4) wit (t) replaced by a (respectively, b as two eigenvalues wit positive (respectively, negative) real part, tis linear system as a two-dimensional space of solutions tat approac 0 exponentially as t, and a two-dimensional space of solutions tat approac 0 exponentially as t. We must sow: (I) tese two-dimensional spaces meet transversally. Given a real linear differential equation ẋ = L(t)x, te adjoint system is ψ = ψl(t) Te adjoint system for (5.4) is ψ = F ( (t))ψ 3, ψ = ψ Bψ 3, ψ 3 = ψ. (5.5) Tis linear system as a one-dimensional space of solutions tat approac 0 exponentially as t, and a one-dimensional space of solutions tat approac 0 exponentially as t. Equivalently to (I), we must sow tat (II) tese one-dimensional spaces ave trivial intersection. Equation (5.5), like any nonautonomous linear differential equation, defines a nonautonomous differential equation ṗ = f (t, p) on RP, te space of lines troug te origin in R 3. A point of RP represents an equivalence class of vectors in R 3 \{0}; we write p = [ψ], wit ψ ψ is tere is a number s 0 suc tat ψ = s ψ. Let p a (respectively, p b ) denote te one-dimensional eigenspace for te unique positive (respectively, negative) eigenvalue of (5.5) at t = (respectively, t = ), i.e. te positive (respectively, negative) eigenvalue of (5.5) wen (t) is replaced by a (respectively, b ). Equivalently to (II), we must sow tat (III) no solution of ṗ = f (t, p) approaces p a as t and p b as t. RP is covered by tree coordinates systems; tese coordinates, and te differential equation ṗ = f (t, p) in eac, are ψ 3 ; φ = F ( (t)) + φ φ, φ = φ B + φ. () η = (η, η 3 ), η = ψ ψ, η 3 = ψ3 ψ ; η = F ( (t))η 3 + η + Bη η 3, η 3 = +η η 3 + Bη3. () φ = (φ, φ ), φ = ψ ψ 3, φ = ψ (3) χ = (χ, χ 3 ), χ = ψ ψ, χ 3 = ψ3 ψ, χ = Bχ 3 F ( (t))χ χ 3, χ 3 = χ F ( (t))χ 3. Let U a = {p RP : p = [ψ] wit ψ > 0, ψ < 0, and ψ 3 > 0}, and let U b ={p RP : p = [ψ] wit ψ > 0, ψ > 0, and ψ 3 > 0}. U a and U b are disjoint and open in RP, and it is straigtforward to ceck tat p a U a and p b U b. More precisely, consider te system of equations F () + φ φ = 0, φ B + φ = 0, (5.6) derived by setting te rigt-and side of te system in φ-coordinates equal to 0. For eac c, tere is a unique solution φ() of (5.6) wit φ > 0. (Te system as 0, or solutions wit φ < 0.) Ten φ () as sign opposite tat of F (). We ave p a = [(φ ( a ), φ ( a ), )] and p b = [(φ ( b ), φ ( b ), )]. We claim tat (A) tere is no solution of ṗ = f (t, p) tat lies in U a for large negative t and in U b for large positive t. Tis implies (III). To prove (A), we will sow te te following. Suppose p(t) is a solution of ṗ = f (t, p) tat lies in U a for large negative t and q(t) is a solution of ṗ = f (t, p) tat lies in U b for large positive t. Ten (a) p(t) U a for t<t c, (b) q(t) U b for t>t c and (c) p(t c ) q(t c ).

15 Travelling waves for a tin liquid film 99 Let us first sow (a). Suppose p(t) is a solution of ṗ = f (t, p) tat lies in U a for large negative t. Suppose p(t) first reaces te boundary of U a at time t < t c. Since t < t c, assumption (4) implies tat (t) > c, so F ( (t)) > 0. We consider eac coordinate patc. In φ-coordinates, U a corresponds to {(φ, φ ) : φ > 0 and φ < 0}. On te boundary of tis set: If t<t c, φ 0 and φ = 0, ten φ < 0. If t<t c, φ = 0 and φ < 0, ten φ > 0. Terefore, p(t) does not leave U a troug its boundary in te φ-coordinate patc at a time t<t c. A similar argument sows tat p(t) does not leave U a troug its boundary in te oter coordinate patces at a time t<t c. Tis sows (a). A similar argument sows (b), i.e we sow tat q(t) does not leave U b troug its boundary in backward time at any time t>t c. It remains to sow (c). Suppose p(t) first leaves U a at time t = t c and q(t) first leaves U b in backward time at time t = t c. Suppose tat p(t c ) equals q(t c ). We consider te different coordinate patces. Suppose p(t c ) = q(t c ) is a point of te φ-coordinate patc. In φ-coordinates, U a corresponds to {(φ, φ ) : φ > 0 and φ < 0} and U b corresponds to {(φ, φ ) : φ > 0 and φ > 0}. Teir common boundary is te ray {(φ, φ ) : φ 0 and φ = 0}. On tis ray, for t = t c, φ < 0. (At te origin we need B>0at tis point.) But ten neiter p(t c ) nor q(t c ) can belong to tis ray, so tey are certainly not equal. A similar argument applies to te oter coordinate patces. 6. Invariant spaces and equilibria For system (5.) (5.5), te tree-dimensional spaces γ = 0 (no surfactant) and γ = (infinite surfactant) are invariant. For every C 0, D 0 and β 0, tere are equilibria of (5.) (5.5) at (, u, v, γ ) = ( L, 0, 0, 0), ( R, 0, 0, 0), (, 0, 0, ) and (, 0, 0, ). If D >0, tese are te only equilibria. Travelling waves (.8) of (.) (.3) correspond to solutions of (5.) (5.5) tat go from ( L, 0, 0, 0) to ( R, 0, 0, 0). For C >0, te linearization of (5.) (5.5) at ( L, 0, 0, 0) or ( R, 0, 0, 0) as te matrix 0 4 D D 0. 4 C DH () 4 C D β 0 C (6.) P () Q() Caracteristic equation: (λ Q())(λ 3 6 C D βλ + 64 C D 3 H ()) = 0. (6.) Let p(λ) = λ 3 6 C D βλ+ 64 C D 3 H () ave roots λ, λ, λ 3. Ten λ + λ + λ 3 = 0, and, for C >0 and D >0, te sign of λ λ λ 3 is opposite to tat of H (). Conclusions for C >0 and D >0: () At ( L, 0, 0, 0) tere are tree eigenvalues wit positive real part and one wit negative real part. () At ( R, 0, 0, 0) tere are one eigenvalue wit positive real part and tree wit negative real part. Tus for C >0 and D >0, W u ( L, 0, 0, 0) and W s ( R, 0, 0, 0) are tree dimensional. If tey are transverse, te intersection is two dimensional. We also note tat

16 00 V Manukian and S Scecter () At ( L, 0, 0, 0), two of te eigenvalues wit positive real part are complex if 4 β 3 < 7 CH ( L ). () At ( L, 0, 0, 0), two of te eigenvalues wit negative real part are complex if 4 β 3 < 7 CH ( R ). In region, for fixed L (respectively, R ), complex eigenvalues occur for β less tan a value of order one. In region 3, for fixed L (respectively, R ), complex eigenvalues occur for C greater tan a number of order one times β 3. In te oter regions, for fixed L (respectively, R ), complex eigenvalues do not occur provided te constants in te definition of te region are taken sufficiently small. 7. Connecting orbits wit Γ small We consider te travelling wave system (3.) (3.4) wit te normalization (N). Hence C =, β = β 0, and we assume D = D > 0: ḣ = (Ɣ +4 D )u, (7.) u = (Ɣ +4 D )v, (7.) ( ) ( ) v = Ɣ β u P () +4 D β u H (), (7.3) Ɣ = ƔQ(). (7.4) Te space Ɣ = 0 is invariant. Restricting (7.) (7.4) to Ɣ = 0 and dividing by 4 D > 0, we obtain ḣ = u, (7.5) u = v, (7.6) v = β u H (). (7.7) Te only equilibria of (7.5) (7.7) are ( L, 0, 0) and ( R, 0, 0). Botareyperbolic.Teformer as two-dimensional unstable manifold; te latter as two-dimensional stable manifold. By te connection teorem, W u ( L, 0, 0) W s ( R, 0, 0) is nonempty. Let C be one of te curves in te intersection. Suppose W u ( L, 0, 0) and W s ( R, 0, 0) meet transversally along C. (According to te transversality teorem, tis is te case if β > 0 and C is a simple connection from ( L, 0, 0) to ( R, 0, 0).) Ten for system (7.) (7.4), te tree-dimensional manifolds W u ( L, 0, 0, 0) and W s ( R, 0, 0, 0) meet transversally in a two-dimensional manifold of connecting orbits tat includes C. Tus (3.) (3.4) as a one-parameter family of connecting orbits from ( L, 0, 0, 0) to ( R, 0, 0, 0). Note tat tis argument proves te existence only of connecting orbits wit small Ɣ. Moreover, if D approaces 0, some eigenvalues at te equilibria, wic satisfy (6.), approac 0. Terefore te size of te Ɣ-interval for wic connections are guaranteed to exist by te argument of tis section goes to Region We consider te normalized travelling wave system (7.) (7.4) of te previous section. In region, β lies in a given bounded interval 0 < β η, and D is small.

17 Travelling waves for a tin liquid film 0 For D = 0, (7.) (7.4) becomes ḣ = Ɣu, (8.) u = Ɣv, (8.) ( ) v = Ɣ β u P (), (8.3) Ɣ = ƔQ(). (8.4) Te space Ɣ = 0 consists of equilibria of (8.) (8.4). It is normally yperbolic for away from. Tus for small D, system (7.) (7.4), altoug not a slow-fast system, as te essential structure of one: for D = 0 it as a large manifold of equilibria. In (7.) (7.4), Ɣ = 0 remains invariant for D > 0. Restricting (7.) (7.4) to Ɣ = 0 and dividing by 4 D, we obtain (7.5) (7.7). Tis system plays te role of te slow system. Te fast system is (8.) (8.4). Let Wloc u ( L, 0, 0) denote an open subset of te two-dimensional unstable manifold of ( L, 0, 0) wose closure is contained in {(, u, v) : > }. Similarly, let Wloc s ( R, 0, 0) denote an open subset of te two-dimensional stable manifold of ( R, 0, 0) wose closure is contained in {(, u, v) : < }. For D = 0 (i.e. for (8.) (8.4)), Wloc u ( L, 0, 0) {0} (respectively, Wloc s ( R, 0, 0) {0}) is a two-dimensional manifold of equilibria tat as a tree-dimensional unstable (respectively, stable) manifold in uvɣ-space. For D > 0 te manifolds Wloc u ( L, 0, 0) {0} and Wloc s ( R, 0, 0) {0} remain invariant because system (7.) (7.4), after restriction to Ɣ = 0 and division by D, is (7.5) (7.7) independent of D. Te unstable manifold of Wloc u ( L, 0, 0) {0} and te stable manifold of W s loc ( R, 0, 0) {0}, respectively, perturb sligtly. Terefore, if tese tree-dimensional manifolds intersect transversally for D = 0 (i.e. for (8.) (8.4)), ten tey do so for small D > 0, and we ave a two-dimensional manifold of connecting orbits from ( L, 0, 0, 0) to ( R, 0, 0, 0). In tis case connecting orbits for D > 0 are close to te following singular connecting orbits for D = 0: () a solution of te slow system (7.5) (7.7) from ( L, 0, 0) to a point ( 0,u 0,v 0 ) in W u loc ( L, 0, 0), te unstable manifold of ( L, 0, 0) for te slow system; () a connecting orbit of te fast system (8.) (8.4) from ( 0,u 0,v 0, 0) to (,u,v, 0), were (,u,v ) W s loc ( R, 0, 0), te stable manifold of ( R, 0, 0) for te slow system; (3) a solution of te slow system from (,u,v ) to ( R, 0, 0). One way to study connecting orbits of (8.) (8.4) from Ɣ = 0 to itself is to first divide (8.) (8.4) by Ɣ: ḣ = u, (8.5) u = v, (8.6) v = β u P (), (8.7) Ɣ = Q(). (8.8) System (8.5) (8.8) is solved wit initial condition (, u, v, Ɣ)(0) = ( 0,u 0,v 0, 0) and 0 >. (Actually, te system for (, u, v) is independent of Ɣ.) Suppose tere is a t > 0 suc tat Ɣ(t ) = 0. Let (,u,v ) = (, u, v)(t ). Ten tere is a connecting orbit of (8.) (8.4) from ( 0,u 0,v 0, 0) to (,u,v, 0). We define π( 0,u 0,v 0 ) = (,u,v ). If te two-dimensional manifold π(wloc u ( L, 0, 0)) is transverse to te two-dimensional manifold Wloc s ( R, 0, 0)) in uv-space, ten te desired transversality condition olds. See figure 8. However, we do not see ow to sow tat tis is te case.

18 0 V Manukian and S Scecter π v u R L Figure 8. Mapping π for system (8.) (8.4). 9. Region Teorem 9.. Let L and R satisfying (3.5) be given. Consider te travelling wave system (5.) (5.5) wit te normalization (N3): C = C 3 0, D = D 3 0 and β =. Ten for eac η wit 0 < η <, tere exists δ > 0 suc tat, if region is defined using tese values, ten for eac parameter triple ( C 3, D 3, ) in region, tere exists a one-parameter family of travelling waves connecting L to R. Moreover, max γ ranges from 0 to. Proof. In te travelling wave system (5.) (5.5), let c = C, ˆv = cv. After dropping te at and multiplying by c, we obtain te system ḣ = c(γ +4 D( γ ))u, (9.) u = (γ +4 D( γ ))v, (9.) ( ( ) v = γ βu P ()) +4 D( γ ) βu H (), (9.3) γ = cγ ( γ ) Q(). (9.4) Using te normalized parameters (N3), (9.) (9.4) becomes ḣ = c(γ +4 D 3 ( γ ))u, (9.5) u = (γ +4 D 3 ( γ ))v, (9.6) v = γ (u P ()) +4 D 3 ( γ ) (u H ()), (9.7) γ = cγ ( γ ) Q(), (9.8) wit c = C 3. To study region, given η wit 0 < η <, we assume η D 3 η and c is small. Since c is small, we ave a slow-fast system wit two slow variables ( and γ ) and two fast variables (u and v). Set c = 0 in (9.5) (9.8): ḣ = 0, (9.9) u = (γ +4 D 3 ( γ ))v, (9.0) v = γ (u P ()) +4 D 3 ( γ ) (u H ()), (9.) γ = 0. (9.)

19 Travelling waves for a tin liquid film 03 Te set u = γ P () +4 D 3 ( γ )H (), v = 0, > 0, 0 γ (9.3) γ +4 D 3 ( γ ) is a normally yperbolic manifold of equilibria of dimension. (One positive eigenvalue, one negative eigenvalue.) Perturbed normally yperbolic invariant manifold for small c>0: u = K(, γ,c, D 3 ), K(, Ɣ, 0, D 3 ) = γ P () +4 D 3 ( γ )H (), (9.4) γ +4 D 3 ( γ ) v = L(, γ,c, D 3 ), L(, γ, 0, D 3 ) = 0. (9.5) Since (, u, v, γ ) = ( L, 0, 0, 0) and ( R, 0, 0, 0) are equilibria for all (c, D 3 ), K( L, 0,c, D 3 ) = L( L, 0,c, D 3 ) = K( R, 0,c, D 3 ) = L( R, 0,c, D 3 ) = 0. Since (, u, v, γ ) = (, 0, 0, ) and (, 0, 0, ) are equilibria for all (c, D 3 ), K(,,c, D 3 ) = L(,,c, D 3 ) = K(,,c, D 3 ) = L(,,c, D 3 ) = 0. Te vector field on te perturbed normally yperbolic invariant manifold is ḣ = c(γ +4 D 3 ( γ ))K(, Ɣ,c, D 3 ) In slow time (i.e. divide by c): = c ( γ P () +4 D 3 ( γ )H () + O(c) ), (9.6) γ = cγ ( γ ) Q(). (9.7) = γ P () +4 D 3 ( γ )H () + O(c), (9.8) γ = γ ( γ ) Q(). (9.9) For all (c, D 3 ) tere are equilibria of (9.8) (9.9) at (, Ɣ) = ( L, 0), ( R, 0), (, ) and (, ). Te first is a repeller, te second is an attractor and te last two are semiyperbolic. For c = 0, te flow can be drawn wit te elp of proposition 5.. In te notation of tat teorem, te nullclines are te curves = i (γ, 4 D 3 ( γ )), i =, and = ; (γ, 4 D 3 ( γ )) < < (γ, 4 D 3 ( γ )). In particular: For 0 << (γ, 4 D 3 ( γ )), ḣ>0 and γ < 0. For (γ, 4 D 3 ( γ )) < <, ḣ<0 and γ < 0. For << (γ, 4 D 3 ( γ )), ḣ<0 and γ > 0. For (γ, 4 D 3 ( γ )) <, ḣ>0 and γ > 0. Te centre manifold of (, ) (respectively, (, )), wic is a separatrix, connects to ( L, 0) (respectively, ( R, 0)). Te flow is sown in figure 9: tere is a one-parameter family of connections from ( L, 0) to ( R, 0) tat fills te region (γ, 4 D 3 ( γ )) < < (γ, 4 D 3 ( γ )),0< γ <. Te flow for c small is exactly te same. For c = 0, te eigenvalues of te linearization of (9.8) (9.9) at ( L, 0) and ( R, 0) are 4 D 3 H () and Q(). Bot are positive at L ;botarenegativeat R. Teir relative size affects te sape of solution curves in figure 9: () If 0 < 4 D 3 H ( L ) < Q( L ), all integral curves in >0 but one tat approac ( L, 0) as t do so tangent to te -axis. () If 0 < Q( L ) < 4 D 3 H ( L ), all integral curves in > 0 tat approac ( L, 0) as t do so tangent te eigendirection for te eigenvalue Q( L ), wic is ( L P ( L ), 4 D 3 H ( L ) Q( L )). Bot components are positive.

20 04 V Manukian and S Scecter γ.... R * L Figure 9. Flow of (9.8) (9.9) for small c 0. Nullclines are dased. Centre manifolds of te equilibria at (, 0) and (, 0) are sown. (3) If Q( R )<4 D 3 H ( R )<0, all solutions in >0but one tat approac ( R, 0) as t do so tangent to te -axis. (4) If 4 D 3 H ( R ) < Q( R ) < 0, all solutions in > 0 tat approac ( R, 0) as t do so tangent to te eigendirection for te eigenvalue Q( R ), wic is ( R P ( R ), Q( R ) 4 D 3 H ( R )). Bot components are positive. Te first and tird cases, wic occur for small D 3, give rise to feet in te solutions. Te second and fourt cases, wic occur for larger D 3, do not. However, in te second and fourt cases, te eigenvector as positive slope; wen tis occurs at ( L, 0), te result is a rise in te travelling wave above L (capillary ridge). 0. Region 3 In te travelling wave system (5.) (5.5), let ( ) C ɛ =, ˆv = ɛv. β 3 After dropping te at and multiplying by ɛ, we obtain te system ḣ = ɛ(γ +4 D( γ ))u, (0.) u = (γ +4 D( γ ))v, (0.) v = γ (u P ()) +4 D( γ ) (u H ()), (0.3) γ = βɛγ( γ ) Q(). (0.4) We use te normalized parameters (N): C = C 0, D = and β = β 0. Tus (0.) (0.4) becomes ḣ = ɛ(γ +4( γ ))u, (0.5) u = (γ +4( γ ))v, (0.6) v = γ (u P ()) +4( γ ) (u H ()), (0.7) γ = β ɛγ( γ ) Q(), (0.8)

21 Travelling waves for a tin liquid film 05 γ C C R L (u,v) Figure 0. Flow of (0.9) (0.). wit ɛ = ( C / β 3 ). To study region 3, given η wit 0 < η <, we assume η C / β 3 η and β is small. Terefore η ɛ η. Hence we ave a slowfast system wit one slow variable (γ ) and tree fast variables (, u and v). Set β = 0: ḣ = ɛ(γ +4( γ ))u, (0.9) u = (γ +4( γ ))v, (0.0) v = γ (u P ()) +4( γ ) (u H ()), (0.) γ = 0. (0.) Eac plane γ = constant is invariant and as equilibria at points (, u, v) wit γ P () +4( γ )H () = 0 and u = v = 0. By proposition 5., te equilibria constitute two one-dimensional normally yperbolic invariant manifolds: C i ={(, u, v, γ ) : = i (γ, 4( γ )), u = 0, v= 0, 0 γ }, i =,. See figure 0. Equilibria on C ave two eigenvalues wit positive real part and one wit negative real part; equilibria on C ave one eigenvalue wit positive real part and two wit negative real part. On te plane γ = constant, after division by γ +4( γ )>0 te system becomes ḣ = ɛu, (0.3) u = v, (0.4) γ v = γ +4( γ ) (u P ()) + 4( γ ) (u H ()). (0.5) γ +4( γ ) By a simple cange of variables we can convert ɛ in (0.3) to. Ten by te connection teorem, wose ypoteses are verified by proposition 5., te two-dimensional unstable manifold of eac equilibrium on C meets te two-dimensional stable manifold of te equilibrium on C wit te same value of γ. Teorem 0.. Let L and R satisfying (3.5) be given. Consider te travelling wave system (5.) (5.5) wit te normalization (N). Assume tere is a γ 0, 0 γ 0, suc tat for (0.3) (0.5) wit γ = γ 0, te two-dimensional unstable manifold of te equilibrium on C meets te two-dimensional stable manifold of te equilibrium on C transversally. Ten for eac η 3 wit 0 < η 3 <, tere exists δ 3 > 0 suc tat, if region 3 is defined using tese values, ten for eac parameter triple ( C,, β ) in region 3, tere exists a one-parameter family of travelling waves connecting L to R wit max γ near γ 0.

22 06 V Manukian and S Scecter We note tat according to te transversality teorem, te transversality condition witin te plane γ = γ 0 is satisfied if te connection tere is simple. Proof. Te assumptions imply tat for (0.3) (0.5), te tree-dimensional unstable manifold of C meets te tree-dimensional stable manifold of C transversally near γ = γ 0 in a two-dimensional family of fast connecting orbits. For small β > 0, C (respectively, C ) perturbs to a normally yperbolic invariant curve connecting ( L, 0, 0) to (, 0, 0) (respectively, ( R, 0, 0) to (, 0, 0)). On te perturbed normally yperbolic invariant manifolds corresponding to C i, we ave γ = β ɛγ( γ ) Q( i (γ, 4( γ )) + O( β )), wic is positive on te interior of C and negative on te interior of C. Tere is a repeller at L and an attractor at R. Singular solutions ( β = 0) from ( L, 0, 0, 0) to ( R, 0, 0, 0) consist of a slow solution on C from ( L, 0, 0, 0) to level γ,0< γ < ; a fast connection from C to C at level γ, and a slow solution on C to ( R, 0, 0, 0). Because of te transversality, for γ near γ 0 tey persist for small β > 0. Note tat at ( L, 0), C as slope 4H ( L )/ L P ( L )>0; at ( R, 0), C as slope 4H ( R )/ R P ( R )>0. As in te previous section, te positive slope at ( L, 0) produces a rise in te travelling wave above L (capillary ridge).. Region 4 Teorem.. Let L and R satisfying (3.5) be given. Consider te travelling wave system (5.) (5.5) wit te normalization (N): C = C 0, D = and β = β 0. Ten for eac η 4 wit 0 < η 4 <, tere exists δ 4 > 0 suc tat, if region 4 is defined using tese values, ten for eac parameter triple ( C,, β ) in region 4, tere exists a one-parameter family of travelling waves connecting L to R. Moreover, max γ ranges from 0 to. Proof. In te travelling wave system (0.5) (0.8), wit ɛ = ( C / β 3), let β = β ( ) β 5 ɛ =. C Te system becomes ḣ = ɛ(γ +4( γ ))u, (.) u = (γ +4( γ ))v, (.) v = γ (u P ()) +4( γ ) (u H ()), (.3) γ = β ɛ γ ( γ ) Q(). (.4) Given η 4 wit 0 < η 4 <, we assume η 4 C / β 5 η 4 and β is small. Terefore η 4 β η 4, and ɛ = β /β is small. Hence (.) (.4) is a slow-fast system wit two slow variables ( and Ɣ) and two fast variables (u and v). For ɛ = 0, te set u = γ P () +4( γ )H (), v = 0 (.5) γ +4( γ )

23 Travelling waves for a tin liquid film 07 is a normally yperbolic manifold of equilibria of dimension (one positive eigenvalue, one negative eigenvalue); compare (9.3). For small ɛ > 0, te perturbed normally yperbolic invariant manifold is given by γ P () +4( γ )H () u = K(, γ, ɛ, β ), K(, γ, 0, β ) =, (.6) γ +4( γ ) v = L(, γ, ɛ, β ), L(, γ, 0, β ) = 0; (.7) compare (9.4) (9.5). Te vector field on te perturbed normally yperbolic invariant manifold is ḣ = ɛ ( γ P () +4( γ )H () + O(ɛ) ), (.8) In slow time (i.e. divide by ɛ): γ = β ɛ γ ( γ ) Q(). (.9) = γ P () +4( γ )H () + O(ɛ), (.0) γ = β ɛγ( γ ) Q(). (.) In tese coordinates, for ɛ = 0, eac line γ = constant is invariant and as equilibria at points wit γ P () + 4( γ )H () = 0. By proposition 5., te equilibria constitute two one-dimensional normally yperbolic invariant manifolds C i ={(, γ ) : = i (γ, 4( γ )), 0 γ }, i =,. See figure. Equilibria on C are repellers; equilibria on C are attractors. For small ɛ > 0, C (respectively, C )perturbstoanormallyyperbolicinvariantcurve connecting ( L, 0, 0) to (, 0, 0) (respectively, ( R, 0, 0) to (, 0, 0)). On te perturbed normally yperbolic invariant manifolds corresponding to C i, we ave γ = β ɛγ( γ ) Q( i (γ, 4( γ )) + O(β )), wic is positive on te interior of C and negative on te interior of C. Tere is a repeller at L and an attractor at R. Singular solutions (ɛ = 0) from ( L, 0) to ( R, 0) consist of a slow solution on C from ( L, 0) to level γ,0< γ < ; a fast connection from C to C at level γ ; and a slow solution on C to ( R, 0). Tey persist for small ɛ > 0. See figure. As in region 3, te slopes of C and C are positive were tey meet ( L, 0) and ( R, 0), respectively. Te positive slope at ( L, 0) produces a rise in te travelling wave above L (capillary ridge).. Region 5 Teorem.. Let L and R satisfying (3.5) be given. Consider te travelling wave system (3.) (3.4) wit te normalization (N3): C = C 3 0, D = D 3 0 and β =. Ten for eac small η > 0, tere exists δ 5 > 0 suc tat, if region 5 is defined using tis value, ten for eac parameter triple ( C 3, D 3, ) in region 5, tere exists a one-parameter family of travelling waves connecting L to R. Moreover, max Ɣ ranges from 0 to η. If we decrease η, ten apparently δ 5 must srink. Tus, unlike in regions and 4, we are not able to define a single region 5 in wic connecting orbits of all sizes exist. To prove te teorem, in te travelling wave system (3.) (3.4) let ( ) C ɛ =, û = βu, ˆv = β ɛv. β 3

2.8 The Derivative as a Function

2.8 The Derivative as a Function .8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open

More information

1. Questions (a) through (e) refer to the graph of the function f given below. (A) 0 (B) 1 (C) 2 (D) 4 (E) does not exist

1. Questions (a) through (e) refer to the graph of the function f given below. (A) 0 (B) 1 (C) 2 (D) 4 (E) does not exist Mat 1120 Calculus Test 2. October 18, 2001 Your name Te multiple coice problems count 4 points eac. In te multiple coice section, circle te correct coice (or coices). You must sow your work on te oter

More information

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY (Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative

More information

MVT and Rolle s Theorem

MVT and Rolle s Theorem AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state

More information

HOMEWORK HELP 2 FOR MATH 151

HOMEWORK HELP 2 FOR MATH 151 HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,

More information

How to Find the Derivative of a Function: Calculus 1

How to Find the Derivative of a Function: Calculus 1 Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te

More information

MA455 Manifolds Solutions 1 May 2008

MA455 Manifolds Solutions 1 May 2008 MA455 Manifolds Solutions 1 May 2008 1. (i) Given real numbers a < b, find a diffeomorpism (a, b) R. Solution: For example first map (a, b) to (0, π/2) and ten map (0, π/2) diffeomorpically to R using

More information

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014 Solutions to te Multivariable Calculus and Linear Algebra problems on te Compreensive Examination of January 3, 24 Tere are 9 problems ( points eac, totaling 9 points) on tis portion of te examination.

More information

Higher Derivatives. Differentiable Functions

Higher Derivatives. Differentiable Functions Calculus 1 Lia Vas Higer Derivatives. Differentiable Functions Te second derivative. Te derivative itself can be considered as a function. Te instantaneous rate of cange of tis function is te second derivative.

More information

Continuity and Differentiability Worksheet

Continuity and Differentiability Worksheet Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;

More information

Average Rate of Change

Average Rate of Change Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope

More information

Exam 1 Review Solutions

Exam 1 Review Solutions Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),

More information

SECTION 1.10: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES

SECTION 1.10: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES (Section.0: Difference Quotients).0. SECTION.0: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES Define average rate of cange (and average velocity) algebraically and grapically. Be able to identify, construct,

More information

A = h w (1) Error Analysis Physics 141

A = h w (1) Error Analysis Physics 141 Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.

More information

INTRODUCTION AND MATHEMATICAL CONCEPTS

INTRODUCTION AND MATHEMATICAL CONCEPTS INTODUCTION ND MTHEMTICL CONCEPTS PEVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips of sine,

More information

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note

More information

REVIEW LAB ANSWER KEY

REVIEW LAB ANSWER KEY REVIEW LAB ANSWER KEY. Witout using SN, find te derivative of eac of te following (you do not need to simplify your answers): a. f x 3x 3 5x x 6 f x 3 3x 5 x 0 b. g x 4 x x x notice te trick ere! x x g

More information

INTRODUCTION AND MATHEMATICAL CONCEPTS

INTRODUCTION AND MATHEMATICAL CONCEPTS Capter 1 INTRODUCTION ND MTHEMTICL CONCEPTS PREVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips

More information

1 2 x Solution. The function f x is only defined when x 0, so we will assume that x 0 for the remainder of the solution. f x. f x h f x.

1 2 x Solution. The function f x is only defined when x 0, so we will assume that x 0 for the remainder of the solution. f x. f x h f x. Problem. Let f x x. Using te definition of te derivative prove tat f x x Solution. Te function f x is only defined wen x 0, so we will assume tat x 0 for te remainder of te solution. By te definition of

More information

Time (hours) Morphine sulfate (mg)

Time (hours) Morphine sulfate (mg) Mat Xa Fall 2002 Review Notes Limits and Definition of Derivative Important Information: 1 According to te most recent information from te Registrar, te Xa final exam will be eld from 9:15 am to 12:15

More information

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points MAT 15 Test #2 Name Solution Guide Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points Use te grap of a function sown ere as you respond to questions 1 to 8. 1. lim f (x) 0 2. lim

More information

Tangent Lines-1. Tangent Lines

Tangent Lines-1. Tangent Lines Tangent Lines- Tangent Lines In geometry, te tangent line to a circle wit centre O at a point A on te circle is defined to be te perpendicular line at A to te line OA. Te tangent lines ave te special property

More information

Volume 29, Issue 3. Existence of competitive equilibrium in economies with multi-member households

Volume 29, Issue 3. Existence of competitive equilibrium in economies with multi-member households Volume 29, Issue 3 Existence of competitive equilibrium in economies wit multi-member ouseolds Noriisa Sato Graduate Scool of Economics, Waseda University Abstract Tis paper focuses on te existence of

More information

ERROR BOUNDS FOR THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BRADLEY J. LUCIER*

ERROR BOUNDS FOR THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BRADLEY J. LUCIER* EO BOUNDS FO THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BADLEY J. LUCIE* Abstract. Te expected error in L ) attimet for Glimm s sceme wen applied to a scalar conservation law is bounded by + 2 ) ) /2 T

More information

Mathematics 105 Calculus I. Exam 1. February 13, Solution Guide

Mathematics 105 Calculus I. Exam 1. February 13, Solution Guide Matematics 05 Calculus I Exam February, 009 Your Name: Solution Guide Tere are 6 total problems in tis exam. On eac problem, you must sow all your work, or oterwise torougly explain your conclusions. Tere

More information

Differentiation in higher dimensions

Differentiation in higher dimensions Capter 2 Differentiation in iger dimensions 2.1 Te Total Derivative Recall tat if f : R R is a 1-variable function, and a R, we say tat f is differentiable at x = a if and only if te ratio f(a+) f(a) tends

More information

2.1 THE DEFINITION OF DERIVATIVE

2.1 THE DEFINITION OF DERIVATIVE 2.1 Te Derivative Contemporary Calculus 2.1 THE DEFINITION OF DERIVATIVE 1 Te grapical idea of a slope of a tangent line is very useful, but for some uses we need a more algebraic definition of te derivative

More information

Some Review Problems for First Midterm Mathematics 1300, Calculus 1

Some Review Problems for First Midterm Mathematics 1300, Calculus 1 Some Review Problems for First Midterm Matematics 00, Calculus. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd,

More information

Quasiperiodic phenomena in the Van der Pol - Mathieu equation

Quasiperiodic phenomena in the Van der Pol - Mathieu equation Quasiperiodic penomena in te Van der Pol - Matieu equation F. Veerman and F. Verulst Department of Matematics, Utrect University P.O. Box 80.010, 3508 TA Utrect Te Neterlands April 8, 009 Abstract Te Van

More information

Chapter 2 Limits and Continuity

Chapter 2 Limits and Continuity 4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(

More information

2.3 Algebraic approach to limits

2.3 Algebraic approach to limits CHAPTER 2. LIMITS 32 2.3 Algebraic approac to its Now we start to learn ow to find its algebraically. Tis starts wit te simplest possible its, and ten builds tese up to more complicated examples. Fact.

More information

Chapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1

Chapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1 Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 969) Quick Review..... f ( ) ( ) ( ) 0 ( ) f ( ) f ( ) sin π sin π 0 f ( ). < < < 6. < c c < < c 7. < < < < < 8. 9. 0. c < d d < c

More information

Math 2921, spring, 2004 Notes, Part 3. April 2 version, changes from March 31 version starting on page 27.. Maps and di erential equations

Math 2921, spring, 2004 Notes, Part 3. April 2 version, changes from March 31 version starting on page 27.. Maps and di erential equations Mat 9, spring, 4 Notes, Part 3. April version, canges from Marc 3 version starting on page 7.. Maps and di erential equations Horsesoe maps and di erential equations Tere are two main tecniques for detecting

More information

7.1 Using Antiderivatives to find Area

7.1 Using Antiderivatives to find Area 7.1 Using Antiderivatives to find Area Introduction finding te area under te grap of a nonnegative, continuous function f In tis section a formula is obtained for finding te area of te region bounded between

More information

2.3 More Differentiation Patterns

2.3 More Differentiation Patterns 144 te derivative 2.3 More Differentiation Patterns Polynomials are very useful, but tey are not te only functions we need. Tis section uses te ideas of te two previous sections to develop tecniques for

More information

Function Composition and Chain Rules

Function Composition and Chain Rules Function Composition and s James K. Peterson Department of Biological Sciences and Department of Matematical Sciences Clemson University Marc 8, 2017 Outline 1 Function Composition and Continuity 2 Function

More information

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t). . Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use

More information

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a?

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a? Solutions to Test 1 Fall 016 1pt 1. Te grap of a function f(x) is sown at rigt below. Part I. State te value of eac limit. If a limit is infinite, state weter it is or. If a limit does not exist (but is

More information

Click here to see an animation of the derivative

Click here to see an animation of the derivative Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,

More information

Section 15.6 Directional Derivatives and the Gradient Vector

Section 15.6 Directional Derivatives and the Gradient Vector Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,

More information

Lines, Conics, Tangents, Limits and the Derivative

Lines, Conics, Tangents, Limits and the Derivative Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt

More information

Math 1241 Calculus Test 1

Math 1241 Calculus Test 1 February 4, 2004 Name Te first nine problems count 6 points eac and te final seven count as marked. Tere are 120 points available on tis test. Multiple coice section. Circle te correct coice(s). You do

More information

Quantum Mechanics Chapter 1.5: An illustration using measurements of particle spin.

Quantum Mechanics Chapter 1.5: An illustration using measurements of particle spin. I Introduction. Quantum Mecanics Capter.5: An illustration using measurements of particle spin. Quantum mecanics is a teory of pysics tat as been very successful in explaining and predicting many pysical

More information

Introduction to Derivatives

Introduction to Derivatives Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))

More information

Chapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3.

Chapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3. Capter Functions and Graps Section. Ceck Point Exercises. Te slope of te line y x+ is. y y m( x x y ( x ( y ( x+ point-slope y x+ 6 y x+ slope-intercept. a. Write te equation in slope-intercept form: x+

More information

2.11 That s So Derivative

2.11 That s So Derivative 2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point

More information

Symmetry Labeling of Molecular Energies

Symmetry Labeling of Molecular Energies Capter 7. Symmetry Labeling of Molecular Energies Notes: Most of te material presented in tis capter is taken from Bunker and Jensen 1998, Cap. 6, and Bunker and Jensen 2005, Cap. 7. 7.1 Hamiltonian Symmetry

More information

f a h f a h h lim lim

f a h f a h h lim lim Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point

More information

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT LIMITS AND DERIVATIVES Te limit of a function is defined as te value of y tat te curve approaces, as x approaces a particular value. Te limit of f (x) as x approaces a is written as f (x) approaces, as

More information

The derivative function

The derivative function Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative

More information

1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2

1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2 MTH - Spring 04 Exam Review (Solutions) Exam : February 5t 6:00-7:0 Tis exam review contains questions similar to tose you sould expect to see on Exam. Te questions included in tis review, owever, are

More information

Continuity and Differentiability of the Trigonometric Functions

Continuity and Differentiability of the Trigonometric Functions [Te basis for te following work will be te definition of te trigonometric functions as ratios of te sides of a triangle inscribed in a circle; in particular, te sine of an angle will be defined to be te

More information

CHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4.

CHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4. SECTION 3-1 101 CHAPTER 3 Section 3-1 1. No. A correspondence between two sets is a function only if eactly one element of te second set corresponds to eac element of te first set. 3. Te domain of a function

More information

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2

More information

Derivatives. By: OpenStaxCollege

Derivatives. By: OpenStaxCollege By: OpenStaxCollege Te average teen in te United States opens a refrigerator door an estimated 25 times per day. Supposedly, tis average is up from 10 years ago wen te average teenager opened a refrigerator

More information

Test 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 =

Test 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 = Test Review Find te determinant of te matrix below using (a cofactor expansion and (b row reduction Answer: (a det + = (b Observe R R R R R R R R R Ten det B = (((det Hence det Use Cramer s rule to solve:

More information

ch (for some fixed positive number c) reaching c

ch (for some fixed positive number c) reaching c GSTF Journal of Matematics Statistics and Operations Researc (JMSOR) Vol. No. September 05 DOI 0.60/s4086-05-000-z Nonlinear Piecewise-defined Difference Equations wit Reciprocal and Cubic Terms Ramadan

More information

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x) Calculus. Gradients and te Derivative Q f(x+) δy P T δx R f(x) 0 x x+ Let P (x, f(x)) and Q(x+, f(x+)) denote two points on te curve of te function y = f(x) and let R denote te point of intersection of

More information

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example,

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example, NUMERICAL DIFFERENTIATION James T Smit San Francisco State University In calculus classes, you compute derivatives algebraically: for example, f( x) = x + x f ( x) = x x Tis tecnique requires your knowing

More information

Material for Difference Quotient

Material for Difference Quotient Material for Difference Quotient Prepared by Stepanie Quintal, graduate student and Marvin Stick, professor Dept. of Matematical Sciences, UMass Lowell Summer 05 Preface Te following difference quotient

More information

Math 31A Discussion Notes Week 4 October 20 and October 22, 2015

Math 31A Discussion Notes Week 4 October 20 and October 22, 2015 Mat 3A Discussion Notes Week 4 October 20 and October 22, 205 To prepare for te first midterm, we ll spend tis week working eamples resembling te various problems you ve seen so far tis term. In tese notes

More information

lim 1 lim 4 Precalculus Notes: Unit 10 Concepts of Calculus

lim 1 lim 4 Precalculus Notes: Unit 10 Concepts of Calculus Syllabus Objectives: 1.1 Te student will understand and apply te concept of te limit of a function at given values of te domain. 1. Te student will find te limit of a function at given values of te domain.

More information

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these. Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra

More information

Derivatives of Exponentials

Derivatives of Exponentials mat 0 more on derivatives: day 0 Derivatives of Eponentials Recall tat DEFINITION... An eponential function as te form f () =a, were te base is a real number a > 0. Te domain of an eponential function

More information

232 Calculus and Structures

232 Calculus and Structures 3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE

More information

Lab 6 Derivatives and Mutant Bacteria

Lab 6 Derivatives and Mutant Bacteria Lab 6 Derivatives and Mutant Bacteria Date: September 27, 20 Assignment Due Date: October 4, 20 Goal: In tis lab you will furter explore te concept of a derivative using R. You will use your knowledge

More information

Calculus I Homework: The Derivative as a Function Page 1

Calculus I Homework: The Derivative as a Function Page 1 Calculus I Homework: Te Derivative as a Function Page 1 Example (2.9.16) Make a careful sketc of te grap of f(x) = sin x and below it sketc te grap of f (x). Try to guess te formula of f (x) from its grap.

More information

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is Mat 180 www.timetodare.com Section.7 Derivatives and Rates of Cange Part II Section.8 Te Derivative as a Function Derivatives ( ) In te previous section we defined te slope of te tangent to a curve wit

More information

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx. Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions

More information

The Derivative as a Function

The Derivative as a Function Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a + )

More information

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser

More information

Finite Difference Methods Assignments

Finite Difference Methods Assignments Finite Difference Metods Assignments Anders Söberg and Aay Saxena, Micael Tuné, and Maria Westermarck Revised: Jarmo Rantakokko June 6, 1999 Teknisk databeandling Assignment 1: A one-dimensional eat equation

More information

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y

More information

Robotic manipulation project

Robotic manipulation project Robotic manipulation project Bin Nguyen December 5, 2006 Abstract Tis is te draft report for Robotic Manipulation s class project. Te cosen project aims to understand and implement Kevin Egan s non-convex

More information

11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR

11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR SECTION 11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR 633 wit speed v o along te same line from te opposite direction toward te source, ten te frequenc of te sound eard b te observer is were c is

More information

The Derivative The rate of change

The Derivative The rate of change Calculus Lia Vas Te Derivative Te rate of cange Knowing and understanding te concept of derivative will enable you to answer te following questions. Let us consider a quantity wose size is described by

More information

1 Limits and Continuity

1 Limits and Continuity 1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function

More information

Notes on wavefunctions II: momentum wavefunctions

Notes on wavefunctions II: momentum wavefunctions Notes on wavefunctions II: momentum wavefunctions and uncertainty Te state of a particle at any time is described by a wavefunction ψ(x). Tese wavefunction must cange wit time, since we know tat particles

More information

158 Calculus and Structures

158 Calculus and Structures 58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you

More information

1.5 Functions and Their Rates of Change

1.5 Functions and Their Rates of Change 66_cpp-75.qd /6/8 4:8 PM Page 56 56 CHAPTER Introduction to Functions and Graps.5 Functions and Teir Rates of Cange Identif were a function is increasing or decreasing Use interval notation Use and interpret

More information

MTH-112 Quiz 1 Name: # :

MTH-112 Quiz 1 Name: # : MTH- Quiz Name: # : Please write our name in te provided space. Simplif our answers. Sow our work.. Determine weter te given relation is a function. Give te domain and range of te relation.. Does te equation

More information

Global Existence of Classical Solutions for a Class Nonlinear Parabolic Equations

Global Existence of Classical Solutions for a Class Nonlinear Parabolic Equations Global Journal of Science Frontier Researc Matematics and Decision Sciences Volume 12 Issue 8 Version 1.0 Type : Double Blind Peer Reviewed International Researc Journal Publiser: Global Journals Inc.

More information

THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Math 225

THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Math 225 THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Mat 225 As we ave seen, te definition of derivative for a Mat 111 function g : R R and for acurveγ : R E n are te same, except for interpretation:

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

Pre-Calculus Review Preemptive Strike

Pre-Calculus Review Preemptive Strike Pre-Calculus Review Preemptive Strike Attaced are some notes and one assignment wit tree parts. Tese are due on te day tat we start te pre-calculus review. I strongly suggest reading troug te notes torougly

More information

ETNA Kent State University

ETNA Kent State University Electronic Transactions on Numerical Analysis. Volume 34, pp. 14-19, 2008. Copyrigt 2008,. ISSN 1068-9613. ETNA A NOTE ON NUMERICALLY CONSISTENT INITIAL VALUES FOR HIGH INDEX DIFFERENTIAL-ALGEBRAIC EQUATIONS

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc

More information

Finding and Using Derivative The shortcuts

Finding and Using Derivative The shortcuts Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex

More information

Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals. Gary D. Simpson. rev 01 Aug 08, 2016.

Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals. Gary D. Simpson. rev 01 Aug 08, 2016. Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals Gary D. Simpson gsim1887@aol.com rev 1 Aug 8, 216 Summary Definitions are presented for "quaternion functions" of a quaternion. Polynomial

More information

Excursions in Computing Science: Week v Milli-micro-nano-..math Part II

Excursions in Computing Science: Week v Milli-micro-nano-..math Part II Excursions in Computing Science: Week v Milli-micro-nano-..mat Part II T. H. Merrett McGill University, Montreal, Canada June, 5 I. Prefatory Notes. Cube root of 8. Almost every calculator as a square-root

More information

Differential Calculus (The basics) Prepared by Mr. C. Hull

Differential Calculus (The basics) Prepared by Mr. C. Hull Differential Calculus Te basics) A : Limits In tis work on limits, we will deal only wit functions i.e. tose relationsips in wic an input variable ) defines a unique output variable y). Wen we work wit

More information

Subdifferentials of convex functions

Subdifferentials of convex functions Subdifferentials of convex functions Jordan Bell jordan.bell@gmail.com Department of Matematics, University of Toronto April 21, 2014 Wenever we speak about a vector space in tis note we mean a vector

More information

3.1 Extreme Values of a Function

3.1 Extreme Values of a Function .1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find

More information

A Numerical Scheme for Particle-Laden Thin Film Flow in Two Dimensions

A Numerical Scheme for Particle-Laden Thin Film Flow in Two Dimensions A Numerical Sceme for Particle-Laden Tin Film Flow in Two Dimensions Mattew R. Mata a,, Andrea L. Bertozzi a a Department of Matematics, University of California Los Angeles, 520 Portola Plaza, Los Angeles,

More information

Continuity. Example 1

Continuity. Example 1 Continuity MATH 1003 Calculus and Linear Algebra (Lecture 13.5) Maoseng Xiong Department of Matematics, HKUST A function f : (a, b) R is continuous at a point c (a, b) if 1. x c f (x) exists, 2. f (c)

More information

5.1 We will begin this section with the definition of a rational expression. We

5.1 We will begin this section with the definition of a rational expression. We Basic Properties and Reducing to Lowest Terms 5.1 We will begin tis section wit te definition of a rational epression. We will ten state te two basic properties associated wit rational epressions and go

More information

MA119-A Applied Calculus for Business Fall Homework 4 Solutions Due 9/29/ :30AM

MA119-A Applied Calculus for Business Fall Homework 4 Solutions Due 9/29/ :30AM MA9-A Applied Calculus for Business 006 Fall Homework Solutions Due 9/9/006 0:0AM. #0 Find te it 5 0 + +.. #8 Find te it. #6 Find te it 5 0 + + = (0) 5 0 (0) + (0) + =.!! r + +. r s r + + = () + 0 () +

More information

Section 3: The Derivative Definition of the Derivative

Section 3: The Derivative Definition of the Derivative Capter 2 Te Derivative Business Calculus 85 Section 3: Te Derivative Definition of te Derivative Returning to te tangent slope problem from te first section, let's look at te problem of finding te slope

More information

Reflection Symmetries of q-bernoulli Polynomials

Reflection Symmetries of q-bernoulli Polynomials Journal of Nonlinear Matematical Pysics Volume 1, Supplement 1 005, 41 4 Birtday Issue Reflection Symmetries of q-bernoulli Polynomials Boris A KUPERSHMIDT Te University of Tennessee Space Institute Tullaoma,

More information

Numerical Differentiation

Numerical Differentiation Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function

More information