A NON HOMOGENEOUS EXTRA TERM FOR THE LIMIT OF DIRICHLET PROBLEMS IN PERFORATED DOMAINS

Size: px
Start display at page:

Download "A NON HOMOGENEOUS EXTRA TERM FOR THE LIMIT OF DIRICHLET PROBLEMS IN PERFORATED DOMAINS"

Transcription

1 J. Casado Diaz & A. Garroni A NON HOMOGENEOUS EXTRA TERM FOR THE LIMIT OF DIRICHLET PROBLEMS IN PERFORATED DOMAINS J. CASADO DIAZ A. GARRONI Abstract: We study te asymptotic beaviour of Diriclet problems on varying domains wit a nonlinear elliptic differential operator. In te limit problem it appears a nonlinear extra term wose properties are strictly connected wit te form of te differential operator. We investigate tis connection wen te domains ave a periodic structure.. Introduction to te problem. Te contents of te present paper is related to te study of te asymptotic beaviour of te following problems (.) div a(x, Du ) = f in, u W,p 0 ( ), were is a sequence of open subsets of a fixed bounded open set R n, a(x, ξ) is a Caratéodory function wic satisfies standard conditions of monotonicity and of p order growt ( < p < + ), and f belongs to W,p (). For every N we extend te function u to a function in te space W,p 0 () by setting u = 0 on \. By te monotonicity of a it is easy to prove tat te sequence (u ) is bounded in W,p 0 () and ten, up to a subsequence, converges weakly in W,p 0 () to some function u W,p 0 (). Te problem is to caracterize u as te solution of some limit problem. Tis problem as been studied by many autors in te literature under different assumptions on te differential operator and wit different approaces (see for instance [0], [4], [], [7], [5], [6], [2],...) In te case of monotone operators G. Dal Maso and F. Murat in [8] (see also [5]) proved te following result: assume tat te function a(x, ξ) satisfies te omogeneity condition (.2) a(x, tξ) = t p 2 t a(x, ξ) ξ R n and t R 8

2 A non omogeneous extra term... (tis assumption is clearly satisfied if a(x, ξ) = ξ p 2 ξ, i.e., wen te operator div a(x, Du) is te p-laplacian operator p ). Ten, tere exists a subsequence of indices, tat we still denote by (), and a non negative Borel measure µ suc tat for every f W,p () te solutions of (.) converge weakly in W,p 0 () to te solution u of te problem (.3) u W,p 0 () L p µ(), a(x, Du)Dv dx + u p 2 uv dµ = f, v v W,p 0 () L p µ(). Te measure µ wic appears in problem (.3) does not carge sets of p-capacity zero (for te definition and te properties of te p-capacity we refer to [2]). Let us remark tat te class of problems of te type (.3) is quite large and includes, wit a suitable coice of µ, te class of Diriclet boundary valued problems on open subset of. Namely if E is a closed subset of and µ is defined as follows 0, if p-cap(b E) = 0, µ(b) = +, oterwise for every Borel set B, ten it is easy to see tat problem (.3) is equivalent to te problem div a(x, Du) = f in \ E, u W,p 0 ( \ E), If we assume tat µ is a Radon measure, te problem (.3) may be written as (.4) div a(x, Du) + u p 2 uµ = f in, u W,p 0 () L p µ(), were te equation above is understood in te sense of distribution. Comparing problems (.) and (.3), we find tat in te limit problem it appears an extra term, u p 2 uµ, wic is (p )-omogeneous. In [3] we generalize te result of G. Dal Maso and F. Murat to te case in wic te function a(x, ξ) does not satisfy te assumption (.2). More precisely we assume tat te function a(x, ξ) satisfies te following conditions if 2 p < + : (i) tere exists a constant α > 0 suc tat (a(x, ξ ) a(x, ξ 2 ))(ξ ξ 2 ) α ξ ξ 2 p for every ξ, ξ 2 R n and for a.e. x ; (ii) tere exist a constant β > 0 and a function L p () suc tat a(x, ξ ) a(x, ξ 2 ) β((x) + ξ + ξ 2 ) p 2 ξ ξ 2 82

3 for every ξ, ξ 2 R n and for a.e. x ; (iii) a(x, 0) = 0 for a.e. x. J. Casado Diaz & A. Garroni We make analogous assumptions in te case < p < 2. Under tese conditions on te operators div a(x, ) te following result olds. Teorem.. Let ( ) be a sequence of arbitrary open subsets of. Tere exist a subsequence of ( ), still denoted by ( ), a non negative Borel measure µ and a function F : R R, suc tat for every f W,p () te sequence (u ) of solutions of te problems (.) converges weakly in W,p 0 () to te solution u, of te following problem u W,p 0 () L p µ(), (.5) a(x, Du)Dv dx + F (x, u)v dµ = f, v v W,p 0 () L p µ(). Moreover te measure µ is zero on sets of p-capacity zero and te function F (x, s) satisfies te following conditions if 2 p < + : (I) for every s, s 2 R and for every x we ave F (x, s ) F (x, s 2 ) L( s + s 2 ) p 2 p s s 2 (II) for every s, s 2 R and for every x we ave (F (x, s ) F (x, s 2 ))(s s 2 ) α s s 2 p ; (III) F (x, 0) = 0 for every x ; Analogous conditions old in te case < p < 2. p ; Tis result for general monotone operator witout any omogeneity condition as been also proved in [] and [2] under additional geometric assumptions on te sequence ( ) wic assure in particular tat te measure µ wic appears in te limit problem is a Radon measure. Remark.2. Te measure µ in problem (.5) may be taken equal to te measure wic defines te extra term wen te operator A is te p-laplacian operator. Remark.3. Te result above as a local caracter. In te sense tat te function F and te measure µ wic appear in te extra term in te limit problem do not depend on te domain and on te fact tat we consider solutions of Diriclet problems wit boundary value zero on. Namely if ( ) is te sequence given by Teorem. and (z ) is a sequence of functions in W,p () satisfying a(x, Dz )Dv dx = f, v for every v W,p 0 ( ) wit compact support in, wic converges to some function z weakly in W,p (), ten z belongs to L p µ( ) for every open set and a(x, Dz)Dv dx + 83 F (x, z)v dµ = f, v

4 A non omogeneous extra term... for every v W,p 0 () L p µ() wit compact support in. Te goal of te present paper is to sow in a particular case tat te function F (x, s) for a non omogeneous operator can be in general non omogeneous wit respect to s (see Section 3). We preliminarily study (in Section 2) te omogenization problem (.) in te simple case in wic a(x, ξ) does not depend on x and te sequence ( ) is given by ( \ E ), were E is te union of closed balls of radius r wose centers are periodically distributed. 2. Te periodic case. In tis section we consider te asymptotic beaviour of te problem (.) in te special case wen te sequence ( ) as a periodic structure. For every 0 < ε < let us consider a partition of R n, wit n > p, composed of semi-open cubes Q i ε, i Z n, of side lengt 2ε and center x i ε = 2εi. Let r = ε n/n p and for every i Z n let B i r be te closed ball in Q i ε of radius r and center x i ε. By Q ε and B r we sall denote Q 0 ε and B 0 r, respectively. Let E ε = i Bi r. It is well known (see [4] and [9]) tat, under tis special geometrical assumption, te limit problem wic describes te asymptotic beaviour of te Diriclet problems in \E ε is determined by te measure C n dx in, were C n is a positive constant wic depends only on n and p. Namely for every f W,p () if w ε is te solution of p w ε = f in \ E ε, w ε W,p 0 ( \ E ε ) ten w ε converge weakly in W,p 0 () to te solution w of te problem (2.) p w + w p 2 w = f in, w W,p 0 () as ε 0. Let us suppose now tat te function a(x, ξ) does not depend on x and let (r ) be a sequence wic converges to zero suc tat Let us define te function a (ξ) by lim (r ) p a( r ξ) ξ Rn. (2.2) a (ξ) = lim (r ) p a( r ξ) ξ Rn. It is easy to see tat a satisfies (i) (iii). In te sequel (ε ) will be te sequence of positive numbers converging to zero defined by (2.3) r = ε n/n p. 84

5 J. Casado Diaz & A. Garroni By Teorem. and by Remark.2 we can suppose tat for every f W,p () te sequence (u ) of te solutions of te problems (2.4) div a(du ) = f in \ E ε, u W,p 0 ( \ E ε ), converges weakly in W,p 0 () to te unique solution u of te problem div a(du) + F (x, u) = f in, (2.5) u W,p 0 (), were F : R R satisfied conditions (I) (III). We sall sow tat since te function a does not depend on x, te function F does not depend on x too (Lemma 2.). Moreover we sall prove tat, in tis case, it is possible to construct F by means of te function a defined in (2.2) (Teorem 2.2). Lemma 2.. Te function F (x, s) in problem (2.5) does not depend on x, i.e., F (x, s) = F (s) for every x R n. Proof: Let us consider an open set. Let ε 0 = dist (, ), ten for every i Z n, wit i =, and for every 0 < ε ε 0 we ave tat = + εi. Let s R, let s k be te solution of problem div a(ds k ) = k( s p 2 s s k p 2 s k ) in \ E ε, s k W,p 0 ( \ E ε ), and let s k be te solution of te analogous problem corresponding to. By te local caracter of Teorem. (see Remarks.3) we ave tat te sequences (s k ) and ( sk ), extended by zero in ( \ ) E ε and in ( \ ) E ε, converge weakly in W,p 0 () to te solutions s k and s k of problems div a(ds k ) + F (x, s k ) = k( s p 2 s s k p 2 s k ) in, (2.6) s k W,p 0 ( ), and (2.7) div a(d s k ) + F (x, s k ) = k( s p 2 s s k p 2 s k ) s k W,p 0 ( ), in, Moreover a penalization result proved in [3] permits us to conclude tat (2.8) lim k ϕ D(s k s) p dx + k ϕ s k s p dx = 0 85

6 for every ϕ C 0 ( ), wit ϕ 0, and A non omogeneous extra term... (2.9) lim ϕ D( s k s) p dx + k ϕ s k s p dx = 0 k for every ϕ C 0 ( ), wit ϕ 0. By (2.7) we ave a(d s k )Dϕ dx + F (x, s k )ϕ dx = k ( s p 2 s s k p 2 s k )ϕ dx for every ϕ C 0 ( ) and ten by canging variables in (2.7) we obtain a(d s k (x + εi))dϕ dx + F (x + εi, s k (x + εi))ϕ dx = = k ( s p 2 s s k (x + εi) p 2 s k (x + εi))ϕ dx for every v C 0 ( ). Tus for every ϕ C 0 ( ) by (2.6) we ave (2.0) F (x + εi, s k (x + εi)) F (x, s k (x)) ϕ dx a(d( s k (x + εi)) a(ds k (x)) Dϕ dx+ +k s k (x + εi) p 2 s k (x + εi) s k (x) p 2 s k (x) ϕ dx. Since by (2.8) and (2.9) we easily obtain tat te rigt and side of (2.0) converges to zero as k. By condition (I) te sequence (F (x + εi, s k (x + εi))) converges to F (x + εi, s) and (F (x, s k (x))) converges to F (x, s) for a.e. x in a compact subset of ; ence, from (2.0), we get F (x + εi, s) = F (x, s) for every x and for every ε ε 0 ; so tat F (x, s) = F (s) for every x and te conclusion follows from te arbitrariness of and s. From now on we sall denote by H p (R n ) te space of all functions belonging to L p (R n ), /p = /p /n, wose first order distribution derivatives belong to L p (R n ). We sall say tat a function u : R n R is Q ε -periodic if u(x + ε i) = u(x) for every x R n and for every i Z n. Te following teorem gives an explicit representation of te function F (s) in terms of te p-capacity of te closed unit ball B in R n relative to te operator div a. Tis result can be obtained as a particular case of te results proved by Skrypnik in a more general context (see []). For te sake of completeness we sall give ere an alternative proof tat olds in te particular case of a periodic structure. 86

7 J. Casado Diaz & A. Garroni We sall denote by C a positive constant wic can cange from line to line and wic depends only on n, α, and β. Teorem 2.2. Let s R and let ζ be te solution of te problem div a (Dζ) = 0 in { x > } (2.) ζ = s in { x } ζ H p (R n ). Ten te function F ( ) in (2.5) is given by te following formula (2.2) F (s) = 2 n a (Dζ)Dv dx, R n were v is an arbitrary function in H p (R n ) suc tat v = on { x }. Proof: Let s W,p loc (Rn ) be te solution of te problem div a(ds ) = F (s) in Q ε \ B r, (2.3) s = 0 on B r, s Q ε -periodic, were Q ε is te cube of center 0 and side 2ε and B r is te closed ball of center 0 and radius r. Let us prove tat te sequence (s ) converges to s weakly in W,p (). For every function v W,p () te following version of te Poincaré inequality olds (2.4) v p dx K p-cap(n(v), ) Dv p dx, were K is a positive constant independent of v and, N(v) = {x : v(x) = 0}, denotes te Lebesgue measure of, and p-cap(n(v), ) is te p-capacity of te set N(v) in (see [2]). Since {x Q ε : s (x) = 0} B r by (2.4) we get (2.5) Q ε s p dx K(2ε ) n p-cap(b r, Q ε ) Q ε Ds p dx for every N. Moreover it is well known tat p-cap(b r, Q ε ) p-cap(b r, B 2ε ) = (r p n (2ε ) p n ) and ence, by (2.3), p-cap(b r, Q ε ) ε n ; so tat by (2.5) we obtain (2.6) s p dx K Ds p dx, Q ε Q ε were K is positive constant independent of. Taking s as a test function in (2.3), by Hölder inequality and (2.6), we ave Ds p dx = F (s) s dx Q ε Q ε F (s)(2ε ) n/p ( Q ε s p dx ) p K p F (s)(2ε ) n/p ( Q ε ) Ds p p dx 87

8 A non omogeneous extra term... and ence (2.7) (2ε ) n Ds p dx CF (s) p. Q ε Since (ε ) tends to zero and (s ) is Q ε -periodic we ave (2.8) were lim o = 0. Tus by (2.6) we get Ds p dx + Ds p dx = + o (2ε ) n Ds p dx, Q ε s p dx = + o (2ε ) n s p dx, Q ε s p dx + o ( + K) Ds (2ε ) n p dx Q ε and ence, by (2.7), we ave tat (s ) is bounded in W,p (). Ten, up to a subsequence, (s ) converges weakly in W,p () to some function v. Since s is Q ε -periodic it is easy to ceck tat v is constant, i.e., v = c R. Moreover for every ϕ C 0 () te function s satisfies (2.9) a(ds )Dϕ dx = F (s) ϕ dx. Indeed if ϕ C 0 (), ten te function ψ(x) = i Z n ϕ(x + ε i) is Q ε -periodic and by (2.3) we ave a(ds )Dϕ dx = a(ds )Dϕ dx = a(ds )Dψ dx = i Z n Q i ε Q ε = F (s)ψ dx = F (s)ϕ dx = F (s)ϕ dx. Q ε Q i ε i Z n Tus by Remark.3 we ave tat F (c)ϕ dx = F (s)ϕ dx and ence by te monotonicity of F (condition (II)) we get c = s. Let us consider now te function z (x) = s (r x) and let us denote by Q te cube of center 0 and side 2ε /r. By canging variables in (2.3) we obtain tat z satisfies (2.20) r Q a(r Dz )Dv dx = F (s) v dx Q 88

9 J. Casado Diaz & A. Garroni for every v Q -periodic and v = 0 on B. By (2.7) and (2.3) we ave (2.2) Q Dz p dx = r n Q ε r p Ds p dx = ε n Q ε Ds p dx 2 n CF (s) p Let us denote by (z ) Q = Q Q z dx te average of z on Q. Since by (2.8) we ave (z ) Q = rn 2 n ε n z dx = Q 2 n ε n s dx = Q ε s dx ( + o ) and (s ) converges to s strongly in L p (), we obtain tat (z ) Q converges to s. Moreover by te Sobolev inequality we ave (2.22) ( Q z (z ) Q p ) /p dx ( ) /p C Dz p dx, Q were te constant C is independent of. Ten by (2.2) and (2.22), and by te fact tat (z ) Q converges to s we ave tat, up to a subsequence, te sequence (z ) converges to some function z W,p loc () weakly in W,p (B) for every bounded open set B R n. Let ϕ C0 (R n ) be wit compact support. Since for large enoug we ave supp ϕ Q we can take (z z)ϕ as test function in (2.20) and by (i) we get (2.23) = r p supp ϕ supp ϕ α D(z z) p ϕ dx supp ϕ (r ) p (a(r Dz ) a(r Dz))D(z z)ϕ dx = F (s)(z z)ϕ dx (r ) p a(r Dz )Dϕ(z z) dx supp ϕ (r ) p a(r Dz)D(z z)ϕ dx. supp ϕ Since, by (ii) and (2.2), te rigt and side of (2.23) tends to zero as we obtain tat (z ) converges to z strongly in W,p loc (Rn ). If we take as test function in (2.20) a function v W,p (R n ) wit compact support and v = 0 in B, ten we can take te limit as and by (2.2) we ave tat (2.24) R n a ( Dz)Dv = 0 for every v W,p (R n ) wit compact support and v = 0 in B. Let now ζ = s z. By (2.2) and te fact tat (z ) converges to z strongly in W,p loc (Rn ) we ave Dζ p dx C B 89.

10 A non omogeneous extra term... for every bounded open set B R n and ence Dζ L p (R n, R n ). Similarly by (2.22) and te fact tat (z ) Q converges to s we get tat ζ L p (R n ) and ence ζ H p (R n ). Finally, since ζ = s on B, by (2.24) we ave tat ζ is te unique solution of problem (2.). Let us prove te representation formula (2.2). Let v H p (R n ) be wit compact support and v = on B. Taking v as test function in problem (2.20) we ave (2.25) Q (r ) p a(r Dz )Dv dx = 2 n F (s) r p F (s) Q v dx. Taking te limit as we obtain (2.2). If v as not compact support, it is enoug to consider a function ṽ H p (R n ) wit compact support and ṽ = on B. Using v ṽ as test function in (2.) we get and tis concludes te proof. R n a (Dζ)Dv = R n a (Dζ)Dṽ = 2 n F (s) Remark 2.3. Te representation formula (2.2) assure tat if te function a is asymptotically (p )-omogeneous, i.e., (2.26) lim r 0 r p a( r ξ) ξ R n, ten te limit problem (2.5) does not depend on te coice of te sequence (ε ). More precisely if (2.26) is satisfied ten te asymptotic beaviour of te solutions u ε of te problems (2.27) diva(du ε ) = f in \ E ε, u ε = 0 on ( \ E ε ), is completely described by te solution of problem (2.5). So tat in tis case we ave te same omogenization penomenon wic is well known in te omogeneous case. 3. Example of non omogeneous extra term. In tis section, under special assumption for te function a, we sall prove tat te function F is (p )-omogeneous if and only if a is (p )-omogeneous. Tis result will permit us to exibit simple examples were te function F is not omogeneous (Remark 3.3) and to sow tat in tis case te omogenization penomenon describe by Remark 2.3 does not occurs (Proposition 3.2). Proposition 3.. Let us suppose tat te function a defined by (2.2) is of te form (3.) a (ξ) = γ( ξ )ξ 90

11 J. Casado Diaz & A. Garroni were γ : [0, + ] [α, β]. Ten te function F (s) given by (2.2) is omogeneous of degree (p ) if and only if a is omogeneous of degree (p ). Proof: If a is omogeneous of degree (p ) ten te result is a direct consequence of formula (2.2) once we note tat if ζ is te solution of problem (2.) at te level s R ten te function tζ, wit t R, is te solution of te same problem at te level ts. Vice versa let F (s) be omogeneous of degree (p ). Let ω n be te (n )-dimensional + r n u p dr + measure of te unit spere in R n and let H p = {u : [0, + ) R : + r n u p dr < + }. By assumption (3.) it is easy to see tat te solution ζ of problem (2.) is radially symmetric, i.e., ζ(x) = z( x ) wit z H p, and (3.2) F (s) = ω n 2 n + r n γ( z )z v dr for every v H p wit v() =. Moreover for every v H p wit v() = 0 we ave + r n γ( z )z v dr = 0. Ten tere exist a constant t(s) depending on s suc tat r n γ( z )z = t(s). By (3.2) we ave tat 2 n F (s)/ω n = t(s) and ence (3.3) ω n r n γ( z )z = 2 n F (s). Let us denote by P (r) te function defined by P (r) = γ( r )r for every r R. By (i) and (ii) we ave tat tere exists te inverse function P of P. Ten by (3.3) we ave (3.4) z (r) = P ( 2 n F (s) ω n r n ) and, since (3.5) + z dr = s and F (s) = s p 2 sf (), we get + ( s p 2 s ) G r n dr = s, were G(t) = P ( 2 n F ()t/ω n ). By canging variables in (3.5), wit ρ = s p 2 s/r n, we obtain p n s p 2 s s n s G(ρ) ρ n n dρ = s n 0 and ence s p 2 s 0 G(ρ) ρ n n dρ = (n ) s n p n. If we derive wit respect to s we get G(s) s n(p ) n γ( r )r = 2 n ω n (n p) F () r p 2 r, 9 = (n p) s p n s/ s and ence

12 wic concludes te proof. A non omogeneous extra term... Proposition 3.2. Under te same assumption of Proposition 3., let us assume tat te function a is not omogeneous. Ten tere exists a sequence (ε ) of positive number converging to zero suc tat te sequence (u ε ) of te solutions of problems (2.26) corresponding to ε = ε,p do not converges weakly in W0 () to te solution of problem (2.5). Proof: Let us prove te result by contradiction. Let u ε be te solution of problem (2.26) and let us suppose tat every subsequence of (u ε ) converges weakly in W,p 0 () to te solution u of problem (2.5). Let (r ) be a sequence suc tat a (ξ) = lim (r ) p a( r ξ) for every ξ Rn, for every t R, t > 0, let us define r t = t r, and let ε t be defined by r t = (ε t ) n/(n p) = t n/(n p) ε n/(n p).,p Since for every t > 0 te sequence (u ε t ) converges weakly in W 0 () to te solution u of problem (2.5), by Proposition 2.2 for every s R and for every v H p (R n ), wit v = in { x }, we ave (3.6) F (s) = 2 n were for every ξ R n R n a t (Dζ s t )Dv dx, (3.7) a t (ξ) = lim (rt ) p a( (r t ) ξ) = t p a (tξ) and ζ s t (3.8) is te solution of te problem div a t (Dζt s ) = 0 in { x > } ζt s = s in { x } ζt s H p (R n ). Moreover, since a (ξ) = γ( ξ )ξ, for every ξ R n we ave tat (3.9) a t (ξ) = t p 2 γ( tξ )ξ = t p 2 t a (tξ) t R, t 0. Now let zt s = t ζ s for every s, t R, wit t 0. By (3.8) zt s is te solution of te problem div a t (Dzt s ) = 0 in { x > } z t s = s/t in { x } zt s H p (R n ), ten, by uniqueness, we deduce tat z s t = ζ s/t t and ence tζ s/t t = ζ s s, t R, t 0. 92

13 J. Casado Diaz & A. Garroni Terefore by (3.6) and (3.9), for every s, t R wit t 0, we ave F (s) = 2 n a (Dζ)Dv s dx = t p 2 t R 2 n a t (Dζ s/t t )Dv dx = t p 2 tf (t s) n R n for every v H p (R n ), wit v = in { x }. Tis implies tat F is (p )-omogeneous and ence, by Proposition 3., a is (p )-omogeneous wic is a contradiction. Example 3.3. Let us consider te operator div (γ( Du )Du) were γ( t ) = (2 + sin(log t )) t p 2, tat can be considered as a non linear perturbation of te p-laplacian operator. It is easy to see tat te function a(ξ) = γ( ξ )ξ satisfies condition (i) (iii). Moreover if we coose r = exp( 2πn), ten γ(r ξ ) = γ( ξ ) for every ξ Rn and ence a (ξ) = a(ξ) for every ξ R n. Since te function a(ξ) is clearly non-omogeneous, by Proposition 3. we obtain tat te function F (s) wic appears in te limit problem (2.5) is non-omogeneous. Moreover wit tis coice of a(ξ), by Proposition 3.2, te limit problem for te sequence (u ε ) depend on te coice of te sequence (ε ), i.e., te omogenization result wic olds for te omogeneous case does not occur. References. [] Attouc H., 984, Variational Convergence for Functions and Operators, Pitman, London. [2] Casado Diaz J., Te omogenization problem in perforated domains for monotone operators, to appear. [3] Casado Diaz J., Garroni A., Asymptotic beaviour of non linear Diriclet systems on varying, to appear. [4] Cioranescu D., Murat F., 982 and 983, Un terme étrange venu d ailleurs, I and II, Nonlinear Partial Differential Equations and Teir Applications, Collège de France Seminar. Vol. II, 98-38, and Vol. III, 54-78, Res. Notes in Mat., 60 and 70, Pitman, London. [5] Dal Maso G., Defrancesci A., 988, Limits of nonlinear Diriclet problems in varying domains, Manuscripta Mat, 6, p [6] Dal Maso G., Garroni A., 994, New results on te asymptotic beaviour of Diriclet problems in perforated domains, Mat. Mod. Met. Appl. Sci., Vol. 4, No. 3, p [7] Dal Maso G., Mosco U., 987, Wiener s criterion and Γ-convergence, Appl. Mat. Optim., 5, p [8] Dal Maso G., Murat F., Asymptotic beaviour and correctors for Diriclet problems in perforated domains wit omogeneous monotone operators, to appear. [9] Labani N., Picard C., 989, Homogenization of nonlinear Diriclet problem in a periodically perforated domain, Recent Advances in Nonlinear Elliptic and Parabolic Problems (Nancy, 988), p , Res. Notes in Mat. 208, Longman, Harlow. [0]Marcenko A. V., Kruslov E. Ya., 978, New results in te teory of boundary value problems for regions wit closed-grained boundaries, Uspeki Mat. Nauk, 33, p. 27. [] Skrypnik I. V., 986, Nonlinear Elliptic Boundary Value Problems, Teubner-Verlag, Leipzig. [2] Ziemer W. P., 989, Weakly Differentiable Functions, Springer-Verlag, Berlin. 93

14 A non omogeneous extra term... Juan Casado Diaz Departamento de Ecuaciones Differenciales y análisis numérico Apartado de Correos Sevilla SPAIN jcasado@numer.us.es Adriana Garroni Dipartimento di Matematica Universitá di Roma La Sapienza Piazzale Aldo Moro Roma ITALY garroni@tsmi9.sissa.it 94

ASYMPTOTIC BEHAVIOUR OF NONLINEAR ELLIPTIC SYSTEMS ON VARYING DOMAINS

ASYMPTOTIC BEHAVIOUR OF NONLINEAR ELLIPTIC SYSTEMS ON VARYING DOMAINS ASYMPTOTIC BEHAVIOUR OF NONLINEAR ELLIPTIC SYSTEMS ON VARYING DOMAINS Juan CASADO DIAZ ( 1 ) Adriana GARRONI ( 2 ) Abstract We consider a monotone operator of the form Au = div(a(x, Du)), with R N and

More information

Poisson Equation in Sobolev Spaces

Poisson Equation in Sobolev Spaces Poisson Equation in Sobolev Spaces OcMountain Dayligt Time. 6, 011 Today we discuss te Poisson equation in Sobolev spaces. It s existence, uniqueness, and regularity. Weak Solution. u = f in, u = g on

More information

Andrea Braides, Anneliese Defranceschi and Enrico Vitali. Introduction

Andrea Braides, Anneliese Defranceschi and Enrico Vitali. Introduction HOMOGENIZATION OF FREE DISCONTINUITY PROBLEMS Andrea Braides, Anneliese Defrancesci and Enrico Vitali Introduction Following Griffit s teory, yperelastic brittle media subject to fracture can be modeled

More information

A SHORT INTRODUCTION TO BANACH LATTICES AND

A SHORT INTRODUCTION TO BANACH LATTICES AND CHAPTER A SHORT INTRODUCTION TO BANACH LATTICES AND POSITIVE OPERATORS In tis capter we give a brief introduction to Banac lattices and positive operators. Most results of tis capter can be found, e.g.,

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

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

Decay of solutions of wave equations with memory

Decay of solutions of wave equations with memory Proceedings of te 14t International Conference on Computational and Matematical Metods in Science and Engineering, CMMSE 14 3 7July, 14. Decay of solutions of wave equations wit memory J. A. Ferreira 1,

More information

On Weak Convergence of Locally Periodic Functions

On Weak Convergence of Locally Periodic Functions Journal of Nonlinear Matematical Pysics Volume 9, Number 1 2002), 42 57 Article On Weak Convergence of Locally Periodic Functions Dag LUKKASSEN and Peter WALL Narvik Uninversity College, N-8505 Narvik,

More information

Parameter Fitted Scheme for Singularly Perturbed Delay Differential Equations

Parameter Fitted Scheme for Singularly Perturbed Delay Differential Equations International Journal of Applied Science and Engineering 2013. 11, 4: 361-373 Parameter Fitted Sceme for Singularly Perturbed Delay Differential Equations Awoke Andargiea* and Y. N. Reddyb a b Department

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

ON THE ASYMPTOTIC BEHAVIOR OF ELLIPTIC PROBLEMS IN PERIODICALLY PERFORATED DOMAINS WITH MIXED-TYPE BOUNDARY CONDITIONS

ON THE ASYMPTOTIC BEHAVIOR OF ELLIPTIC PROBLEMS IN PERIODICALLY PERFORATED DOMAINS WITH MIXED-TYPE BOUNDARY CONDITIONS Bulletin of the Transilvania University of Braşov Series III: Mathematics, Informatics, Physics, Vol 5(54) 01, Special Issue: Proceedings of the Seventh Congress of Romanian Mathematicians, 73-8, published

More information

Γ-convergence of functionals on divergence-free fields

Γ-convergence of functionals on divergence-free fields Γ-convergence of functionals on divergence-free fields N. Ansini Section de Mathématiques EPFL 05 Lausanne Switzerland A. Garroni Dip. di Matematica Univ. di Roma La Sapienza P.le A. Moro 2 0085 Rome,

More information

Math 161 (33) - Final exam

Math 161 (33) - Final exam Name: Id #: Mat 161 (33) - Final exam Fall Quarter 2015 Wednesday December 9, 2015-10:30am to 12:30am Instructions: Prob. Points Score possible 1 25 2 25 3 25 4 25 TOTAL 75 (BEST 3) Read eac problem carefully.

More information

Numerical analysis of a free piston problem

Numerical analysis of a free piston problem MATHEMATICAL COMMUNICATIONS 573 Mat. Commun., Vol. 15, No. 2, pp. 573-585 (2010) Numerical analysis of a free piston problem Boris Mua 1 and Zvonimir Tutek 1, 1 Department of Matematics, University of

More information

OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS

OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS PORTUGALIAE MATHEMATICA Vol. 59 Fasc. 2 2002 Nova Série OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS J. Saint Jean Paulin and H. Zoubairi Abstract: We study a problem of

More information

Semigroups of Operators

Semigroups of Operators Lecture 11 Semigroups of Operators In tis Lecture we gater a few notions on one-parameter semigroups of linear operators, confining to te essential tools tat are needed in te sequel. As usual, X is a real

More information

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction

SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS. Massimo Grosi Filomena Pacella S. L. Yadava. 1. Introduction Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 21, 2003, 211 226 SYMMETRY RESULTS FOR PERTURBED PROBLEMS AND RELATED QUESTIONS Massimo Grosi Filomena Pacella S.

More information

LOCAL BOUNDEDNESS OF MINIMIZERS WITH LIMIT GROWTH CONDITIONS

LOCAL BOUNDEDNESS OF MINIMIZERS WITH LIMIT GROWTH CONDITIONS LOCAL BOUNDEDNESS OF MINIMIZES WITH LIMIT GOWTH CONDITIONS GIOVANNI CUPINI PAOLO MACELLINI ELVIA MASCOLO Abstract. Te energy-integral of te calculus of variations.),.) below as a limit beavior wen q =

More information

Some Results on the Growth Analysis of Entire Functions Using their Maximum Terms and Relative L -orders

Some Results on the Growth Analysis of Entire Functions Using their Maximum Terms and Relative L -orders Journal of Matematical Extension Vol. 10, No. 2, (2016), 59-73 ISSN: 1735-8299 URL: ttp://www.ijmex.com Some Results on te Growt Analysis of Entire Functions Using teir Maximum Terms and Relative L -orders

More information

Minimal surfaces of revolution

Minimal surfaces of revolution 5 April 013 Minimal surfaces of revolution Maggie Miller 1 Introduction In tis paper, we will prove tat all non-planar minimal surfaces of revolution can be generated by functions of te form f = 1 C cos(cx),

More information

THE IMPLICIT FUNCTION THEOREM

THE IMPLICIT FUNCTION THEOREM THE IMPLICIT FUNCTION THEOREM ALEXANDRU ALEMAN 1. Motivation and statement We want to understand a general situation wic occurs in almost any area wic uses matematics. Suppose we are given number of equations

More information

Numerical Experiments Using MATLAB: Superconvergence of Nonconforming Finite Element Approximation for Second-Order Elliptic Problems

Numerical Experiments Using MATLAB: Superconvergence of Nonconforming Finite Element Approximation for Second-Order Elliptic Problems Applied Matematics, 06, 7, 74-8 ttp://wwwscirporg/journal/am ISSN Online: 5-7393 ISSN Print: 5-7385 Numerical Experiments Using MATLAB: Superconvergence of Nonconforming Finite Element Approximation for

More information

MANY scientific and engineering problems can be

MANY scientific and engineering problems can be A Domain Decomposition Metod using Elliptical Arc Artificial Boundary for Exterior Problems Yajun Cen, and Qikui Du Abstract In tis paper, a Diriclet-Neumann alternating metod using elliptical arc artificial

More information

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 207 222 PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Fumi-Yuki Maeda and Takayori Ono Hiroshima Institute of Technology, Miyake,

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

Polynomial Functions. Linear Functions. Precalculus: Linear and Quadratic Functions

Polynomial Functions. Linear Functions. Precalculus: Linear and Quadratic Functions Concepts: definition of polynomial functions, linear functions tree representations), transformation of y = x to get y = mx + b, quadratic functions axis of symmetry, vertex, x-intercepts), transformations

More information

Weak Solutions for Nonlinear Parabolic Equations with Variable Exponents

Weak Solutions for Nonlinear Parabolic Equations with Variable Exponents Communications in Matematics 25 217) 55 7 Copyrigt c 217 Te University of Ostrava 55 Weak Solutions for Nonlinear Parabolic Equations wit Variable Exponents Lingeswaran Sangerganes, Arumugam Gurusamy,

More information

arxiv: v1 [math.dg] 4 Feb 2015

arxiv: v1 [math.dg] 4 Feb 2015 CENTROID OF TRIANGLES ASSOCIATED WITH A CURVE arxiv:1502.01205v1 [mat.dg] 4 Feb 2015 Dong-Soo Kim and Dong Seo Kim Abstract. Arcimedes sowed tat te area between a parabola and any cord AB on te parabola

More information

Some Remarks About the Density of Smooth Functions in Weighted Sobolev Spaces

Some Remarks About the Density of Smooth Functions in Weighted Sobolev Spaces Journal of Convex nalysis Volume 1 (1994), No. 2, 135 142 Some Remarks bout the Density of Smooth Functions in Weighted Sobolev Spaces Valeria Chiadò Piat Dipartimento di Matematica, Politecnico di Torino,

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

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator. Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative

More information

AN EXAMPLE OF FUNCTIONAL WHICH IS WEAKLY LOWER SEMICONTINUOUS ON W 1,p FOR EVERY p > 2 BUT NOT ON H0

AN EXAMPLE OF FUNCTIONAL WHICH IS WEAKLY LOWER SEMICONTINUOUS ON W 1,p FOR EVERY p > 2 BUT NOT ON H0 AN EXAMPLE OF FUNCTIONAL WHICH IS WEAKLY LOWER SEMICONTINUOUS ON W,p FOR EVERY p > BUT NOT ON H FERNANDO FARRONI, RAFFAELLA GIOVA AND FRANÇOIS MURAT Abstract. In this note we give an example of functional

More information

Chapter 1. Density Estimation

Chapter 1. Density Estimation Capter 1 Density Estimation Let X 1, X,..., X n be observations from a density f X x. Te aim is to use only tis data to obtain an estimate ˆf X x of f X x. Properties of f f X x x, Parametric metods f

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

Linear Algebra and its Applications

Linear Algebra and its Applications Linear Algebra and its Applications 466 (15) 1 116 Nonlinear Analysis 16 (15) 17 Contents lists available at ScienceDirect Contents lists available at ScienceDirect Linear Algebra and its Applications

More information

CHAPTER 4. Elliptic PDEs

CHAPTER 4. Elliptic PDEs CHAPTER 4 Elliptic PDEs One of te main advantages of extending te class of solutions of a PDE from classical solutions wit continuous derivatives to weak solutions wit weak derivatives is tat it is easier

More information

A CLASS OF EVEN DEGREE SPLINES OBTAINED THROUGH A MINIMUM CONDITION

A CLASS OF EVEN DEGREE SPLINES OBTAINED THROUGH A MINIMUM CONDITION STUDIA UNIV. BABEŞ BOLYAI, MATHEMATICA, Volume XLVIII, Number 3, September 2003 A CLASS OF EVEN DEGREE SPLINES OBTAINED THROUGH A MINIMUM CONDITION GH. MICULA, E. SANTI, AND M. G. CIMORONI Dedicated to

More information

Approximation of the Viability Kernel

Approximation of the Viability Kernel Approximation of te Viability Kernel Patrick Saint-Pierre CEREMADE, Université Paris-Daupine Place du Marécal de Lattre de Tassigny 75775 Paris cedex 16 26 october 1990 Abstract We study recursive inclusions

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

Finite Difference Method

Finite Difference Method Capter 8 Finite Difference Metod 81 2nd order linear pde in two variables General 2nd order linear pde in two variables is given in te following form: L[u] = Au xx +2Bu xy +Cu yy +Du x +Eu y +Fu = G According

More information

Nonlinear weakly curved rod by Γ -convergence

Nonlinear weakly curved rod by Γ -convergence Noname manuscript No. (will be inserted by te editor Nonlinear weakly curved rod by Γ -convergence Igor Velčić te date of receipt and acceptance sould be inserted later Abstract We present a nonlinear

More information

arxiv:math/ v1 [math.ca] 1 Oct 2003

arxiv:math/ v1 [math.ca] 1 Oct 2003 arxiv:mat/0310017v1 [mat.ca] 1 Oct 2003 Cange of Variable for Multi-dimensional Integral 4 Marc 2003 Isidore Fleiscer Abstract Te cange of variable teorem is proved under te sole ypotesis of differentiability

More information

Homework 1 Due: Wednesday, September 28, 2016

Homework 1 Due: Wednesday, September 28, 2016 0-704 Information Processing and Learning Fall 06 Homework Due: Wednesday, September 8, 06 Notes: For positive integers k, [k] := {,..., k} denotes te set of te first k positive integers. Wen p and Y q

More information

POLYNOMIAL AND SPLINE ESTIMATORS OF THE DISTRIBUTION FUNCTION WITH PRESCRIBED ACCURACY

POLYNOMIAL AND SPLINE ESTIMATORS OF THE DISTRIBUTION FUNCTION WITH PRESCRIBED ACCURACY APPLICATIONES MATHEMATICAE 36, (29), pp. 2 Zbigniew Ciesielski (Sopot) Ryszard Zieliński (Warszawa) POLYNOMIAL AND SPLINE ESTIMATORS OF THE DISTRIBUTION FUNCTION WITH PRESCRIBED ACCURACY Abstract. Dvoretzky

More information

Influence of the Stepsize on Hyers Ulam Stability of First-Order Homogeneous Linear Difference Equations

Influence of the Stepsize on Hyers Ulam Stability of First-Order Homogeneous Linear Difference Equations International Journal of Difference Equations ISSN 0973-6069, Volume 12, Number 2, pp. 281 302 (2017) ttp://campus.mst.edu/ijde Influence of te Stepsize on Hyers Ulam Stability of First-Order Homogeneous

More information

Analytic Functions. Differentiable Functions of a Complex Variable

Analytic Functions. Differentiable Functions of a Complex Variable Analytic Functions Differentiable Functions of a Complex Variable In tis capter, we sall generalize te ideas for polynomials power series of a complex variable we developed in te previous capter to general

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

MATH 173: Problem Set 5 Solutions

MATH 173: Problem Set 5 Solutions MATH 173: Problem Set 5 Solutions Problem 1. Let f L 1 and a. Te wole problem is a matter of cange of variables wit integrals. i Ff a ξ = e ix ξ f a xdx = e ix ξ fx adx = e ia+y ξ fydy = e ia ξ = e ia

More information

Complexity of Decoding Positive-Rate Reed-Solomon Codes

Complexity of Decoding Positive-Rate Reed-Solomon Codes Complexity of Decoding Positive-Rate Reed-Solomon Codes Qi Ceng 1 and Daqing Wan 1 Scool of Computer Science Te University of Oklaoma Norman, OK73019 Email: qceng@cs.ou.edu Department of Matematics University

More information

On non negative solutions of some quasilinear elliptic inequalities

On non negative solutions of some quasilinear elliptic inequalities On non negative solutions of some quasilinear elliptic inequalities Lorenzo D Ambrosio and Enzo Mitidieri September 28 2006 Abstract Let f : R R be a continuous function. We prove that under some additional

More information

3D-2D Dimension Reduction of Homogenized Thin Films

3D-2D Dimension Reduction of Homogenized Thin Films 3D-2D Dimension Reduction of Homogenized Tin Films BY LAURA BUFFORD DISSERTATION Submitted in Partial Fulfillment of te Requirements for te Degree of DOCTOR OF PHILOSOPHY in MATHEMATICS at CARNEGIE MELLON

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

Math 212-Lecture 9. For a single-variable function z = f(x), the derivative is f (x) = lim h 0

Math 212-Lecture 9. For a single-variable function z = f(x), the derivative is f (x) = lim h 0 3.4: Partial Derivatives Definition Mat 22-Lecture 9 For a single-variable function z = f(x), te derivative is f (x) = lim 0 f(x+) f(x). For a function z = f(x, y) of two variables, to define te derivatives,

More information

NOTES ON LINEAR SEMIGROUPS AND GRADIENT FLOWS

NOTES ON LINEAR SEMIGROUPS AND GRADIENT FLOWS NOTES ON LINEAR SEMIGROUPS AND GRADIENT FLOWS F. MAGGI Tese notes ave been written in occasion of te course Partial Differential Equations II eld by te autor at te University of Texas at Austin. Tey are

More information

OSCILLATION OF SOLUTIONS TO NON-LINEAR DIFFERENCE EQUATIONS WITH SEVERAL ADVANCED ARGUMENTS. Sandra Pinelas and Julio G. Dix

OSCILLATION OF SOLUTIONS TO NON-LINEAR DIFFERENCE EQUATIONS WITH SEVERAL ADVANCED ARGUMENTS. Sandra Pinelas and Julio G. Dix Opuscula Mat. 37, no. 6 (2017), 887 898 ttp://dx.doi.org/10.7494/opmat.2017.37.6.887 Opuscula Matematica OSCILLATION OF SOLUTIONS TO NON-LINEAR DIFFERENCE EQUATIONS WITH SEVERAL ADVANCED ARGUMENTS Sandra

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

An approximation method using approximate approximations

An approximation method using approximate approximations Applicable Analysis: An International Journal Vol. 00, No. 00, September 2005, 1 13 An approximation metod using approximate approximations FRANK MÜLLER and WERNER VARNHORN, University of Kassel, Germany,

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

Practice Problem Solutions: Exam 1

Practice Problem Solutions: Exam 1 Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical

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

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

More information

Dedicated to the 70th birthday of Professor Lin Qun

Dedicated to the 70th birthday of Professor Lin Qun Journal of Computational Matematics, Vol.4, No.3, 6, 4 44. ACCELERATION METHODS OF NONLINEAR ITERATION FOR NONLINEAR PARABOLIC EQUATIONS Guang-wei Yuan Xu-deng Hang Laboratory of Computational Pysics,

More information

GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS

GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS LE MATEMATICHE Vol. LI (1996) Fasc. II, pp. 335347 GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS CARLO SBORDONE Dedicated to Professor Francesco Guglielmino on his 7th birthday W

More information

Existence of a sequence satisfying Cioranescu-Murat conditions in homogenization of Dirichlet problems in perforated domains

Existence of a sequence satisfying Cioranescu-Murat conditions in homogenization of Dirichlet problems in perforated domains Rendiconti di Matematica, Serie VII Volume 16, Roma (1996), 387-413 Existence of a sequence satisfying Cioranescu-Murat conditions in homogenization of Dirichlet problems in perforated domains J. CASADO-DÍAZ

More information

Smoothness of solutions with respect to multi-strip integral boundary conditions for nth order ordinary differential equations

Smoothness of solutions with respect to multi-strip integral boundary conditions for nth order ordinary differential equations 396 Nonlinear Analysis: Modelling and Control, 2014, Vol. 19, No. 3, 396 412 ttp://dx.doi.org/10.15388/na.2014.3.6 Smootness of solutions wit respect to multi-strip integral boundary conditions for nt

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

arxiv: v1 [math.na] 9 Sep 2015

arxiv: v1 [math.na] 9 Sep 2015 arxiv:509.02595v [mat.na] 9 Sep 205 An Expandable Local and Parallel Two-Grid Finite Element Sceme Yanren ou, GuangZi Du Abstract An expandable local and parallel two-grid finite element sceme based on

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

FINITE DIFFERENCE APPROXIMATIONS FOR NONLINEAR FIRST ORDER PARTIAL DIFFERENTIAL EQUATIONS

FINITE DIFFERENCE APPROXIMATIONS FOR NONLINEAR FIRST ORDER PARTIAL DIFFERENTIAL EQUATIONS UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA, FASCICULUS XL 2002 FINITE DIFFERENCE APPROXIMATIONS FOR NONLINEAR FIRST ORDER PARTIAL DIFFERENTIAL EQUATIONS by Anna Baranowska Zdzis law Kamont Abstract. Classical

More information

Research Article Discrete Mixed Petrov-Galerkin Finite Element Method for a Fourth-Order Two-Point Boundary Value Problem

Research Article Discrete Mixed Petrov-Galerkin Finite Element Method for a Fourth-Order Two-Point Boundary Value Problem International Journal of Matematics and Matematical Sciences Volume 2012, Article ID 962070, 18 pages doi:10.1155/2012/962070 Researc Article Discrete Mixed Petrov-Galerkin Finite Element Metod for a Fourt-Order

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

Nonlinear elliptic-parabolic problems

Nonlinear elliptic-parabolic problems Nonlinear elliptic-parabolic problems Inwon C. Kim and Norbert Požár Abstract We introduce a notion of viscosity solutions for a general class of elliptic-parabolic pase transition problems. Tese include

More information

4.2 - Richardson Extrapolation

4.2 - Richardson Extrapolation . - Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Definition Let x n n converge to a number x. Suppose tat n n is a sequence

More information

Precalculus Test 2 Practice Questions Page 1. Note: You can expect other types of questions on the test than the ones presented here!

Precalculus Test 2 Practice Questions Page 1. Note: You can expect other types of questions on the test than the ones presented here! Precalculus Test 2 Practice Questions Page Note: You can expect oter types of questions on te test tan te ones presented ere! Questions Example. Find te vertex of te quadratic f(x) = 4x 2 x. Example 2.

More information

Math Spring 2013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, (1/z) 2 (1/z 1) 2 = lim

Math Spring 2013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, (1/z) 2 (1/z 1) 2 = lim Mat 311 - Spring 013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, 013 Question 1. [p 56, #10 (a)] 4z Use te teorem of Sec. 17 to sow tat z (z 1) = 4. We ave z 4z (z 1) = z 0 4 (1/z) (1/z

More information

Strongly continuous semigroups

Strongly continuous semigroups Capter 2 Strongly continuous semigroups Te main application of te teory developed in tis capter is related to PDE systems. Tese systems can provide te strong continuity properties only. 2.1 Closed operators

More information

LEAST-SQUARES FINITE ELEMENT APPROXIMATIONS TO SOLUTIONS OF INTERFACE PROBLEMS

LEAST-SQUARES FINITE ELEMENT APPROXIMATIONS TO SOLUTIONS OF INTERFACE PROBLEMS SIAM J. NUMER. ANAL. c 998 Society for Industrial Applied Matematics Vol. 35, No., pp. 393 405, February 998 00 LEAST-SQUARES FINITE ELEMENT APPROXIMATIONS TO SOLUTIONS OF INTERFACE PROBLEMS YANZHAO CAO

More information

Combining functions: algebraic methods

Combining functions: algebraic methods Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)

More information

Controllability of a one-dimensional fractional heat equation: theoretical and numerical aspects

Controllability of a one-dimensional fractional heat equation: theoretical and numerical aspects Controllability of a one-dimensional fractional eat equation: teoretical and numerical aspects Umberto Biccari, Víctor Hernández-Santamaría To cite tis version: Umberto Biccari, Víctor Hernández-Santamaría.

More information

University Mathematics 2

University Mathematics 2 University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at

More information

A Finite Element Primer

A Finite Element Primer A Finite Element Primer David J. Silvester Scool of Matematics, University of Mancester d.silvester@mancester.ac.uk. Version.3 updated 4 October Contents A Model Diffusion Problem.................... x.

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

Overlapping domain decomposition methods for elliptic quasi-variational inequalities related to impulse control problem with mixed boundary conditions

Overlapping domain decomposition methods for elliptic quasi-variational inequalities related to impulse control problem with mixed boundary conditions Proc. Indian Acad. Sci. (Mat. Sci.) Vol. 121, No. 4, November 2011, pp. 481 493. c Indian Academy of Sciences Overlapping domain decomposition metods for elliptic quasi-variational inequalities related

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

Gradient Descent etc.

Gradient Descent etc. 1 Gradient Descent etc EE 13: Networked estimation and control Prof Kan) I DERIVATIVE Consider f : R R x fx) Te derivative is defined as d fx) = lim dx fx + ) fx) Te cain rule states tat if d d f gx) )

More information

Some Error Estimates for the Finite Volume Element Method for a Parabolic Problem

Some Error Estimates for the Finite Volume Element Method for a Parabolic Problem Computational Metods in Applied Matematics Vol. 13 (213), No. 3, pp. 251 279 c 213 Institute of Matematics, NAS of Belarus Doi: 1.1515/cmam-212-6 Some Error Estimates for te Finite Volume Element Metod

More information

BOUNDARY REGULARITY FOR SOLUTIONS TO THE LINEARIZED MONGE-AMPÈRE EQUATIONS

BOUNDARY REGULARITY FOR SOLUTIONS TO THE LINEARIZED MONGE-AMPÈRE EQUATIONS BOUNDARY REGULARITY FOR SOLUTIONS TO THE LINEARIZED MONGE-AMPÈRE EQUATIONS N. Q. LE AND O. SAVIN Abstract. We obtain boundary Hölder gradient estimates and regularity for solutions to te linearized Monge-Ampère

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

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

MATH 155A FALL 13 PRACTICE MIDTERM 1 SOLUTIONS. needs to be non-zero, thus x 1. Also 1 +

MATH 155A FALL 13 PRACTICE MIDTERM 1 SOLUTIONS. needs to be non-zero, thus x 1. Also 1 + MATH 55A FALL 3 PRACTICE MIDTERM SOLUTIONS Question Find te domain of te following functions (a) f(x) = x3 5 x +x 6 (b) g(x) = x+ + x+ (c) f(x) = 5 x + x 0 (a) We need x + x 6 = (x + 3)(x ) 0 Hence Dom(f)

More information

IN this paper, we study the corrector of the homogenization

IN this paper, we study the corrector of the homogenization , June 29 - July, 206, London, U.K. A Corrector Result for the Homogenization of a Class of Nonlinear PDE in Perforated Domains Bituin Cabarrubias Abstract This paper is devoted to the corrector of the

More information

Weierstraß-Institut. im Forschungsverbund Berlin e.v. Preprint ISSN

Weierstraß-Institut. im Forschungsverbund Berlin e.v. Preprint ISSN Weierstraß-Institut für Angewandte Analysis und Stocastik im Forscungsverbund Berlin e.v. Preprint ISSN 0946 8633 Stability of infinite dimensional control problems wit pointwise state constraints Micael

More information

Existence and nonexistence results for critical growth biharmonic elliptic equations

Existence and nonexistence results for critical growth biharmonic elliptic equations Calculus of variations manuscript No. (will be inserted by te editor) Filippo Gazzola Hans Cristop Grunau Marco Squassina Existence and nonexistence results for critical growt biarmonic elliptic equations

More information

1 Proving the Fundamental Theorem of Statistical Learning

1 Proving the Fundamental Theorem of Statistical Learning THEORETICAL MACHINE LEARNING COS 5 LECTURE #7 APRIL 5, 6 LECTURER: ELAD HAZAN NAME: FERMI MA ANDDANIEL SUO oving te Fundaental Teore of Statistical Learning In tis section, we prove te following: Teore.

More information

A Hybrid Mixed Discontinuous Galerkin Finite Element Method for Convection-Diffusion Problems

A Hybrid Mixed Discontinuous Galerkin Finite Element Method for Convection-Diffusion Problems A Hybrid Mixed Discontinuous Galerkin Finite Element Metod for Convection-Diffusion Problems Herbert Egger Joacim Scöberl We propose and analyse a new finite element metod for convection diffusion problems

More information

Bulletin of the. Iranian Mathematical Society

Bulletin of the. Iranian Mathematical Society ISSN: 1017-060X (Print) ISSN: 1735-8515 (Online) Bulletin of the Iranian Mathematical Society Vol. 42 (2016), No. 1, pp. 129 141. Title: On nonlocal elliptic system of p-kirchhoff-type in Author(s): L.

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

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

A method for solving first order fuzzy differential equation

A method for solving first order fuzzy differential equation Available online at ttp://ijim.srbiau.ac.ir/ Int. J. Industrial Matematics (ISSN 2008-5621) Vol. 5, No. 3, 2013 Article ID IJIM-00250, 7 pages Researc Article A metod for solving first order fuzzy differential

More information

New Streamfunction Approach for Magnetohydrodynamics

New Streamfunction Approach for Magnetohydrodynamics New Streamfunction Approac for Magnetoydrodynamics Kab Seo Kang Brooaven National Laboratory, Computational Science Center, Building 63, Room, Upton NY 973, USA. sang@bnl.gov Summary. We apply te finite

More information