Symmetric Interior penalty discontinuous Galerkin methods for elliptic problems in polygons

Size: px
Start display at page:

Download "Symmetric Interior penalty discontinuous Galerkin methods for elliptic problems in polygons"

Transcription

1 Symmtric Intrior pnalty discontinuous Galrkin mthods for lliptic problms in polygons F. Müllr and D. Schötzau and Ch. Schwab Rsarch Rport No March 2017 Sminar für Angwandt Mathmatik Eidgnössisch Tchnisch Hochschul CH-8092 Zürich Switzrland Funding SNF: _149819/1 Funding: Natural Scincs and Enginring Rsarch Council of Canada (NSERC)

2 SYMMETRIC INTERIOR PENALTY DISCONTINUOUS GALERKIN METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB Abstract. W analyz symmtric intrior pnalty discontinuous Galrkin finit lmnt mthods for linar, scond-ordr lliptic boundary-valu problms in polygonal domains Ω whr solutions xhibit singular bhavior nar cornrs. To rsolv cornr singularitis, w admit both, gradd mshs and bisction rfinmnt mshs. W prov that judiciously chosn rfinmnt paramtrs in ths msh familis imply optimal asymptotic rats of convrgnc with rspct to th total numbr of dgrs of frdom N, both for th DG nrgy norm rror and th L 2 -norm rror. Th sharpnss of our asymptotic convrgnc rat stimats is confirmd in a sris of numrical xprimnts. 1. Introduction Th rror analysis of discontinuous Galrkin finit lmnt mthods (DGFEMs) for lliptic problms is by now wll dvlopd. For various h-vrsion DG formulations, optimal nrgy norm and L 2 -norm rror stimats with rspct to th msh-width h ar providd in,.g., [2, 17, 18], and th rfrncs thrin. W rmark that L 2 -optimality typically rquirs adjoint-consistnt DG discrtizations, as introducd in [2]. Most of th DG rror analyss availabl in th litratur ar basd on sufficint smoothnss of wak solutions and on quasi-uniformity assumptions for th msh squncs. In addition, to driv L 2 -norm rror bounds, an H 2 -rgularity hypothsis for th solution of a suitabl dual problm is usually imposd. Whil ths smoothnss proprtis hold tru in smooth or convx domains, thy ar known to b fals in gnral polygonal domains, du to th apparanc of singular solution componnts nar cornrs [10]. On way to charactriz th singular bhavior of solutions is by mans of suitably wightd Sobolv spacs and corrsponding lliptic rgularity shifts of scond, and highr ordr in ths spacs. Hr, w shall focus on th wightd spacs H k,l (Ω) and shifts as introducd and analyzd in [4, 3] in th contxt of conforming hp-vrsion FEMs. For rlatd, finit ordr lliptic rgularity rsults in polygonal and polyhdral domains, w furthr rfr to [10, 14, 8]. To rsolv cornr singularitis in fixd ordr, conforming h-vrsion discrtizations, in rcnt yars svral typs of local msh rfinmnt stratgis hav bn proposd and invstigatd. In [5], conforming picwis linar FEMs on so-calld Ky words and phrass. AMS Subjct Classification: 65M20, 65M60, 65N30 Elliptic Boundary-Valu Problms, Finit Elmnt Mthods, Discontinuous Galrkin Mthods, Cornr Singularitis, Lipschitz Domains. Rsarch supportd by th Swiss National Scinc Foundation undr Grant No. SNF /1 and by th Natural Scincs and Enginring Rsarch Council of Canada (NSERC). Th authors thank Thomas P. Wihlr for hlpful rmarks. 1

3 2 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB gradd rgular simplicial mshs wr shown to captur singularitis at th optimal H 1 -norm convrgnc rat N 1/2 with rspct to N, th numbr of dgrs of frdom. Mor rcnt variants of approximation rat bounds on familis of gradd mshs, also for FE spacs of polynomial dgr p 1 on gradd, rgular simplicial mshs in Ω can b found in [7, 1]. A public domain msh gnrator for gradd mshs in polygonal domains Ω is availabl in th LNG FEM softwar packag [13]. An altrnativ approach to build locally rfind mshs is basd on local rfinmnt rfinmnt via nwst vrtx bisction; s,.g., [15, 16]. Indd, in [9], a bisction rfinmnt algorithm was proposd and it was provd that it crats msh squncs which rsolv singular solution componnts at optimal H 1 -norm rats N p/2 with rspct to N. Th work in [21] was th first to study (symmtric and non-symmtric) intrior pnalty (IP) discontinuous Galrkin mthods for lliptic problms with solutions in th wightd spacs of [4, 3]. By introducing nw tchnical tools to handl singular solution componnts, it stablishd th bounddnss and consistncy of th intrior pnalty forms. It furthr showd and vrifid numrically that on gradd mshs as in [5], algbraic convrgnc rats of th optimal ordr N p/2 ar obtaind for th DG norm rrors. In [22], ths consistncy and stability proprtis wr mployd to show xponntial convrgnc rats for hp-vrsion intrior pnalty mthods for problms with picwis analytic solutions. For othr work on th analysis of DG mthods for lliptic problms with low-rgularity solutions, w also rfr to [17, Sction 4.2.5], [23] and th rfncs thrin. In this papr, w build on, rfin and xtnd th rsults of [21]. Mor spcifically, w focus hr on symmtric IP mthods which ar adjoint-consistnt. Basd on th wightd spacs of [4, 3], w considr IP approximations on gradd and bisction rfinmnt mshs which ar locally rfind towards cornrs of th domain. Using th tchniqus of [21], w stablish continuity bounds for th IP forms with rspct to suitabl norms, show Galrkin orthogonality and driv optimal nrgy rror stimats in trms of N. In addition, w driv an optimal L 2 -norm rror bound. Whil our approach procds roughly along th lins of standard argumnts as in [2] and is basd on duality, w now mploy lliptic rgularity with rspct to th wightd spacs H l,k (Ω). Hnc, unlik in prvious works, w do not nd to impos any xtra (and unralistic) rgularity assumptions. Our continuity proprtis nsur th wll-dfindnss of th various intgral trms which appar in th drivation of th L 2 -norm convrgnc rat bound. To complt our rror analysis, w prsnt proofs that gradd and bisction rfinmnt mshs yild optimal approximation bounds, both for th primal and th dual solutions. To this nd, w rxamin th rror bound obtaind in [21, Proposition 2.5.5] for gradd mshs; w xtnd it to an stimat of th rror in a slightly strongr norm and for a widr rang of rgularity ordrs. Morovr, for bisction rfinmnt mshs, w stablish a compltly nw variant of th approximation rsults in [9, Thorms 5.2 and 5.3] for wightd spacs and with rspct to our consistncy norm. Finally, w vrify our thortical statmnts in a sris of numrical tsts for bisction rfinmnt mshs. Dtaild numrical xprimnts for gradd mshs ar availabl in [21]. Th papr is structurd as follows: In Sction 2, w introduc our lliptic modl problm in polygonal domains and rviw rgularity shifts in wightd spacs. In Sction 3, w rcall th symmtric IP mthod. Our main rsults ar statd and

4 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 3 discussd in Sction 4 (Thorm 4.3). Sction 5 contains th dtaild proofs of our rror stimats. In Sction 6, numrical xprimnts ar prsntd, vrifying th sharpnss of our thortical stimats. Finally, in Sction 7, conclusions ar offrd and potntial xtnsions ar outlind. Throughout, w us standard notation. In particular, for a domain G R d, d = 1,2 and q [1, ], th Lbsgu spac of q-intgrabl functions is dnotd by L q (G). For k N, th classical Sobolv spacs of functions in L q (G) with q- intgrabl drivativs of ordr up to k will b dnotd by W k,q (G), and by H k (G) if q = Modl Problm W introduc polygonal domains, dfin our modl problm and rviw rgularity shifts in wightd Sobolv spacs Polygonal domain. AnopnandboundddomainΩ R 2 iscalldpolygonal if its boundary Ω can b writtn as a finit union of M N opn and straight lin sgmnts i of positiv surfac masur: Ω = M i=1 i and i ds > 0, 1 i M. (2.1) Th vrtics of th polygon Ω ar givn by c i := i i+1, 1 i M, with th undrstanding that M+1 = 1. W assum th vrtics to b numbrd clockwis. W introduc th st of all vrtics as S := {c i : 1 i M}. Th intrior opning angl of th domain at c i is masurd in positiv orintation and dnotd by ω i (0,2π]. Th cas ω i = 2π ariss in modls of fractur mchanics. Although in this cas th domain Ω is not Lipschitz, it can b writtn as finit union of Lipschitz domains, so that all statmnts on variational formulations rmain valid in this cas. To discuss th solution rgularity in th vicinity of cornrs, w associat with ach cornr local conical domains dfind by Ω i := {x Ω : x c i < R i }, 1 i M, (2.2) whr 0 < R i < 1 2 min i j c i c j. This implis that th cons Ω i ar mutually disjoint and Ω i Ω i i+1. Hnc, Ω i is containd in a infinit con with opning angl ω i and vrtx c i Elliptic boundary-valu problm. Lt now Ω b a polygonal domain. W dnot by D and N th indx sts of all boundary sgmnts i, on which Dirichlt and Numann boundary conditions will b applid, rspctivly. This lads to th partition Ω = Γ D Γ N, whr Γ D = i D i and Γ N = i N i. W furthr dnot by ν th outward unit normal vctor on th boundary Ω. Lt c C (Ω) b a smooth ral-valud diffusion cofficint such that c c(x) c, x Ω, (2.3) for constants 0 < c < c <. Assum givn in Ω a forcing trm f, on Γ D a Dirichlt datum g D and on Γ N a Numann boundary datum g N. Th smoothnss assumptions on th data will b mad prcis subsquntly in Proposition 2.3 and

5 4 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB Rmark 2.4. W considr th diffusion problm: (c u) = f in Ω, (2.4) u = g D on Γ D, (2.5) ν (c u) = g N on Γ N. (2.6) Th standard wak form of problm (2.4) (2.6) rads: Find u H 1 (Ω) such that u ΓD = g D on Γ D and a(u,v) := c u vdx = f vdx+ g N vds (2.7) Ω Ω Γ N for all v H 1 Γ D (Ω) := {v H 1 (Ω) : v ΓD = 0}. If D, problm (2.7) has a uniqu solution providd that g D can b stably liftd in H 1 (Ω) and that th linar functionals on th right-hand sid of (2.7) blong to H 1 Γ D (Ω), th dual spac of H 1 Γ D (Ω). In th pur Numann cas (i.., D = ), th trial and tst functions u and v ar takn in th factor spac H 1 (Ω)/R, i.., wak solutions ar quivalnc classs which diffr by constants. For xistnc, th data f and g N must satisfy th compatibility condition Ω f dx+ Ω g N ds = 0, which will always b assumd to hold in this cas Wightd Sobolv spacs. With ach vrtx c i of Ω, w assign a wight xponnt i R and introduc th wight xponnt vctor = { i } M i=1. For a scalar ξ R, w dfin + ξ by { + ξ} i := i + ξ. Similarly, inqualitis of th form < ξ ar undrstood componntwis. For R M, w dfin th wightd distanc function Φ by M Φ (x) := r i (x) i, (2.8) whr r i (x) = x c i. Rmark 2.1. To localiz th wight function Φ in (2.8), w dcompos Ω into i=1 Ω := Ω 0 ( M i=1 Ω i ), (2.9) whr Ω 0 = Ω\ M i=1 Ω i and whr Ω i is th con in (2.2). If [0,1) M, thn w hav C 1 dc r i(x) i C dc, x Ω 0, 1 i M, (2.10) C 1 dc Φ (x) r i i (x) C dcφ (x), x Ω i, 1 i M, (2.11) for a constant C dc > 0 dpnding on th radii R i in (2.2). Givn intgrs k l 0, w nxt dfin th wightd Sobolv spacs H k,l (Ω) as th compltion of C (Ω) with rspct to th norm v H k,l (Ω) givn by v 2 := H k,l (Ω) Th smi-norm v H k,l (Ω) is givn by v 2, l = 0, H k,0 (Ω) v 2 H l 1 (Ω) + v 2 H k,l (Ω), l 1. (2.12) k v 2 := Φ H k,l (Ω) +m l D m v 2 L 2 (Ω). (2.13) m=l

6 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 5 Hr, w adopt th notation D m v 2 := α =m Dα v 2, with D α v dnoting th partial drivativ of v with rspct to th multi-indx α N 2 0. W shall also mak us of th wightd spacs H k,l i (Ω), thir associatd norms v H k,l (Ω) and sminorms v H i k,l (Ω), which ar dfind compltly analogously, but with rspct to th i wight r i (x) i. Furthrmor, ovr subdomains Ω Ω th wightd spacs and norms ar dfind by rplacing th domains of intgration by Ω. TracspacsofthwightdspacsH k,l (Ω)ardfindasfollows. Ltγ Ωb th union of som lin sgmnts i. For k 1, k l 0, w dfin H k 1/2,l 1/2 (γ) as th spac of all functions φ : γ R such that thr is a function Φ H k,l (Ω) with Φ γ = φ. Th associatd norm is dfind by φ k 1/2,l 1/2 H (γ) := inf{ Φ H k,l (Ω) : Φ γ = φ}; (2.14) s also [4, Sction 1.4]. Th following proprtis hold. Lmma 2.2. Lt [0,1) M. Thr holds: (i) W hav th continuous mbddings H k,2 (Ω) H2,2 (Ω) C0 (Ω), k 2. (2.15) (ii) For k l 1, lt v H k,l (Ω) and lt α N2 0 b such that α l. Thn w hav D α v H k α,l α (Ω) and D α v H k α,l α (Ω) v H k,l (Ω). (2.16) (iii) Lt f H 0,0 (Ω). Thn Ω fvdx is a linar continuous functional on H1 (Ω) and Ω fvdx C f H 0,0 (Ω) v H 1 (Ω), v H 1 (Ω), (2.17) with C > 0 dpnding on. (iv) Lt g N H 1/2,1/2 (Γ N ). Thn Ω g NvdS is a linar continuous functional on H 1 (Ω) and Γ N g N vds C gn H 1/2,1/2 (Γ N) v H 1 (Ω), v H 1 (Ω), (2.18) with C > 0 dpnding on. Proof. Th proof of th scond mbdding in (2.15) can b found in [5, pag 449]. Th first inclusion in (2.15) is trivial. Proprty (2.16) is straightforward. Finally, th bounds (2.17) and (2.18) ar provd in [4, Lmma 2.10 and Lmma 2.11] Rgularity in wightd spacs. W bas our analysis on th following lliptic rgularity shift in wightd Sobolv spacs, which is a consqunc of Rmark 3 and Lmma 3.2 in [4]. In th lowst-ordr cas, w also rfr to [5, Thorm 3.2]. Equivalnt rsults (with diffrntly dfind wightd spacs) ar stablishd in [8, Sctions 4 and 7.1]. Proposition 2.3. Thr xist paramtrs i > 0 (dpnding on th domain Ω, th sts D, N and th cofficint c) such that for wight xponnts [0,1) M with 1 i < i < 1, 1 i M, (2.19)

7 6 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB th following lliptic rgularity shifts hold: for k 1, f H k 1,0 (Ω), g D H k+1/2,3/2 (Γ D ) and g N H k 1/2,1/2 (Ω), th wak solution u H 1 (Ω) of (2.7) xists (s (2.17) and (2.18)) and blongs to H k+1,2 (Ω). Morovr, w hav th stability bound u H k+1,2 (Ω) C stab,k ( f H k 1,0 (Ω) + g D k+1/2,3/2 H (Γ + g D) N k 1/2,1/2 H (Γ N) with a stability constant C stab,k > 0 that is indpndnt of th data (but dpnds on th ordr k, th domain Ω, th sts D, N, and th cofficint c). Rmark2.4. Notic that 1 i in (2.19) can b ngativ. In this cas, th condition i > 1 i is considrd void as it imposs no rstriction on th rang of i [0,1). Morovr, in viw of Proposition 2.3, w will always assum th minimum rgularity f H 0,0 (Ω), g D H 3/2,3/2 (Γ D ), g N H 1/2,1/2 (Γ N ). (2.20) This nsurs that th solution of (2.7) blongs to H 2,2 (Ω). Rmark 2.5. In th cas of th Laplacian (whr c = 1), th paramtr i at cornr c i = i i+1 is wll-known and givn by ), { π i = ω i if {i,i+1} D or {i,i+1} N, othrwis; π 2ω i s,.g., [4, Rmark 3] or [8, Exampl 7.2]. (2.21) 3. Discontinuous Galrkin Discrtization W introduc th symmtric intrior pnalty finit lmnt mthod for th numrical approximation of problm (2.4) (2.6), and rviw th discrt corcivity and continuity of th IP bilinar form Mshs, dgs and trac oprators. Lt T b a partition of Ω into straightsidd triangls K. For as of prsntation, w considr rgular triangulations and commnt on xtnsions to irrgular mshs in Sction 7. Th triangulations ar supposd to b sufficintly fin so that ach lmnt K contains at most on vrtx c i. For K T, w dnot by P p (K) th polynomials on K of total dgr at most p, and by ν K th unit outward normal vctor on K. Furthrmor, w writ h K and ρ K for th diamtr and inradius of K T, rspctivly. Th msh-width of T is givn by h = h(t ) := max K T h K. W assum th triangulations to b shap-rgular: Thr xists a constant κ > 0 such that thr holds, for all K T, and uniformly in th msh squnc, κh K ρ K κ 1 h K. (3.1) Edgs ar dfind as follows. If K and K ar adjacnt lmnts of th triangulation T with K K ds > 0, w call th intrsction = K K an intrior dg. Elmntal dgs of K ar supposd to li at most on on boundary sgmnt i, and if K i ds > 0, w call th intrsction = K i a boundary dg; it blongs to ithr Γ D or Γ N. Accordingly, w distinguish btwn Dirichlt and Numann dgs. Th st of intrior dgs of a triangulation T is dnotd by E I (T ), th st of Dirichlt boundary dgs by E D (T ), and th st of Numann boundary dgs by E N (T ). Morovr, w dfin E ID (T ) := E I (T ) E D (T ) and

8 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 7 E(T ) := E I (T ) E D (T ) E N (T ). For E(T ), w dnot by P p () th polynomials of dgr at most p on, and by h = th lngth of. With th shap-rgularity assumption (3.1), it can b radily vrifid that κh K h h K, (3.2) for all K with E(T ). Following [2], w introduc th standard trac oprators. Lt K +,K T b two adjacnt lmnts which shar th intrior dg = K + K E I (T ). For a sufficintly smooth scalar function v or vctor fild q, w dnot th tracs of v and q on takn from within K ± by v ± and q ±, rspctivly. W thn dfin th jumps and th avrags of v and q along by [v] := v + ν K + +v ν K, v := 1 2 (v+ +v ), (3.3) [q] := q + ν K + +q ν K, q := 1 2 (q+ +q ). (3.4) If E D (T ) is a Dirichlt boundary dg, w similarly st [v] := v ν, [q] = q ν, as wll as v := v, q := q Discrtization. For an approximation ordr p 1 and a givn triangulation T of Ω, w introduc th discontinuous finit lmnt spac V p (T ) := {v L 2 (Ω) : v K P p (K), K T }. (3.5) Thn, th symmtric intrior pnalty discrtization of (2.7) rads as follows: Find u N V p (T ) such that a DG (u N,v N ) = l DG (v N ) (3.6) for all v N V p (T ). Hr, a DG (, ) is th symmtric intrior pnalty form givn by a DG (v,w) := c v wdx r DG (v,w) K T K r DG (w,v)+ (3.7) j [v] [w]ds, with th off-diagonal form r DG (v,w) := E ID(T ) E ID(T ) c v [w]ds. (3.8) Th linar form l DG ( ) on th right-hand sid in (3.6) is dfind as l DG (w) := fwdx g D (c w) νds K T K E D(T ) + j g D wds + g N wds. Γ N E D(T ) E N(T ) In (3.7), (3.9), w dfin th intrior pnalty function j dgwis as (3.9) j := j 0 c h 1, E ID(T ), (3.10) whr j 0 > 0 is a sufficintly larg as spcifid blow and whr w rcall that h dnots th lngth of.

9 8 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB Rmark 3.1. In Sction 5.2, w show th bounddnss of all th trms in (3.7) (3.9) whnvr v or w ar wightd functions in H 2,2 (Ω). In particular, for lmnts K abutting at cornrs and dgs running into cornrs, th intgrals in (3.7) (3.9) ar undrstood as boundd bilinar forms ovr L 1 (K) L (K) and L 1 () L (), rspctivly. Rmark 3.2. Th numbr of dgrs of frdom of th discrtization (3.6) is dfind as N = N(p,T ) := dim(v p (T )). (3.11) W ar intrstd in achiving convrgnc N by rducing th msh-width h 0 at a fixd (typically low) polynomial dgr p 1, which is known as th h- vrsion of th finit lmnt mthod. In th following, w driv optimal algbraic convrgnc rats with rspct to N for th DG mthod (3.6) on locally rfind mshs DG norm and discrt stability. For a partition T of Ω, w introduc th brokn H 1 -spac H 1 (T ) := {v L 2 (Ω) : v K H 1 (K), K T }, (3.12) which w ndow with th DG nrgy norm v 2 DG := K T c 1/2 v 2 L 2 (K) +J(v), J(v) := E ID(T ) j 1/2 [v] 2 L 2 (). (3.13) Notic that for D, th mapping v v DG is a norm on H 1 (T ). In th pur Numann cas, howvr, th xprssion v DG is zro if and only if v is a constant, and hnc it is a norm modulo constants. Th following discrt stability proprtis ovr th brokn FE spac V p (T ) ar wll-known; w rfr for xampl to [2] or [17]. Lmma 3.3. Thr xists j > 0 and constants C cor > 0, C cont > 0, which ar indpndnt of th msh-widths, but dpnd on κ in (3.1), th bounds in (2.3) and th polynomial dgr p, such that for j 0 > j thr holds a DG (v N,v N ) C cor v N 2 DG, v N V p (T ), (3.14) a DG (v N,w N ) C cont v N DG w N DG, v N,w N V p (T ). (3.15) 4. Main Rsults W introduc two typs of msh familis with local rfinmnt towards cornrs. Thn,wstatanddiscussourmainrsults: optimalnrgynormandl 2 -normconvrgnc rat stimats for IP discrtizations of arbitrary ordr (s Thorm 4.3), on ithr typ of msh family with sufficintly strong rfinmnt in th vicinity of cornrs Gradd msh familis. W first rcall th dfinition of gradd msh familis as introducd in [5]. Dfinition 4.1. A shap-rgular family of rgular triangulations T β is calld gradd towards th vrtics in S with grading vctor β = (β 1,...,β M ), if thr xists a uniform constant C G > 0 such that for all lmnts K T β in ach triangulation, on of th following conditions hold: (i) If K T β \K(T β ), thn C G 1 hφ β (x) h K C G hφ β (x) for all x K.

10 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 9 (ii) If K K(T β ), thn C 1 G sup x K Φ β (x) h K C G hsup x K Φ β (x). In[21, Proposition 2.5.5], it has bn shown that IP mthods for lliptic problms on gradd msh familis convrg optimally in th DG nrgy norm (but not in th L 2 -norm). W will stablish a rfinmnt of this rsult for our convrgncanalysis. Othr xampls of gradd msh familis and thir constructions ar wll-known by now. W rfr to [7, 1] and th softwar packag LNG FEM in [13]. Th finit lmnt spacs constructd on ths msh familis, howvr, ar not nstd, i.., an incras of accuracy in th numrical approximation rquirs construction of th ntir finr msh Bisction rfinmnt mshs. An altrnativ ar rgular, simplicial msh familis which ar producd by rcursiv bisction rfinmnt; s,.g., [15, 16] and th rfrncs thrin. Our analysis will b basd on th work [9], whr a bisction rfinmnt algorithm has bn proposd and analyzd in th contxt of conforming finit lmnt mthods. Givn an initial msh T 0, th algorithm thr taks input paramtrs h, p, L and a wight xponnt γ > 0. In a first loop, it nsurs that all lmntal msh-widths h K ar smallr than h. In a scond loop, th algorithm rfins 2L+1 tims into th cornrs using nwst vrtx bisction, whr L is to b slctd in dpndnc of h, p and γ. This rsults in a rgular msh dnotd by T h,2(l+1). W mphasiz that th bisction rfinmnt mshs constructd from th rgular, simplicial initial msh T 0 givs ris to a shap-rgular msh family, whr th condition (3.1) is satisfid with a constant κ dpnding on T 0. For conforming finit lmnt mthods, it has bn shown in [9] that th bisction rfinmnt algorithm basd on choosing suitabl paramtrs capturs solutions of lliptic problms with solutions which allow for dcompositions into rgular parts and cornr singularitis at optimal convrgnc ordrs in N. W will gnraliz this rsult to th discontinuous Galrkin framwork and to functions in H k+1,2 (Ω); s Proposition Nxt, w introduc th notion of a locally adaptd msh. Dfinition 4.2. Lt p 1 and [0,1) M b a wight xponnt vctor. W call a a family of triangulations T locally adaptd to S with rspct to and p if it is ithr (i) a gradd msh family of mshs T β with grading paramtrs β i (βi,1) whr βi := 1 1 i, (4.1) p (ii) or a family of bisction rfinmnt mshs T h,2(l+1) as in [9], obtaind by nwst vrtx bisction with paramtrs h, γ (0,γ ] and L with γ := 1 M max i=1 i > 0 and h [2 (L+1)γ/(p+1),2 Lγ/(p+1) ). (4.2) 4.3. Optimal rror stimats. Our main rsult stablishs optimal nrgy norm and L 2 -normrrorbounds on locally adaptd mshs with rspct to th numbr N of total dgrs of frdom. Thorm 4.3. Lt [0,1) M b as in (2.19). For p 1 and 1 k p, lt f H k 1,0 (Ω), g D H k+1/2,3/2 (Γ D ) and g N H k 1/2,1/2 (Γ N ). Considr th solution u H 1 (Ω) of (2.4) (2.6) which is in H k+1,2 (Ω) by Proposition 2.3. Lt T b a msh which is locally adaptd to S with rspct to and p ithr via msh grading or via rcursiv bisction rfinmnt as in Dfinition 4.2. Lt u N V p (T )

11 10 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB b th symmtric IP approximation obtaind in (3.6) with j 0 > j. Thn, w hav th rror bound u u N DG +N 1/2 u u N L 2 (Ω) CN k/2 u H k+1,2 (Ω). (4.3) Th constant C > 0 is indpndnt of N, but dpnds on κ in (3.1), on th paramtr j 0 in (3.10), th bounds in (2.3), th rgularity paramtr k, th polynomial dgr p, th paramtr C dc in (2.10), (2.11) th stability constant C stab,2 in Proposition 2.3, th vctor, and on th paramtrs for gradd and bisction rfinmnt mshs in Dfinition 4.2. Rmark 4.4. For k = p (i.., u H p+1,2 (Ω)), th stimat (4.3) givs optimal convrgnc rats of ordr N p/2 and of ordr N (p+1)/2 for th L 2 -norm rror, rspctivly. W rmark furthr that Thorm 4.3 is basd on th rgularity bound (3.1). Hnc, no additional rgularity assumptions on th domains ar ncssary for th L 2 -norm stimat. W furthr not that in th proof of th L 2 -norm bound, w implicitly us th adjoint-consistncy of th symmtric IP mthod in th sns of [2]. This proprty dos not hold for non-symmtric IP discrtizations of (2.4) (2.6). As a consqunc, L 2 -norm optimality as in Thorm 4.3 and th argumnts for its proof cannot in gnral b xpctd to apply for non-symmtric IP mthods or for othr DG formulations that do not afford adjoint-consistncy. W rfr to [18, Sction 2.8.2] for a dtaild discussion on L 2 -norm rror stimation for non-symmtric and socalld incomplt intrior pnalty mthods. Rmark 4.5. Th rsults in Thorm 4.3 rmain valid in th pur Numann cas du to th fact that th nodal intrpolants usd in our analysis rproduc constants. 5. Proofs In this sction, w dtail th proof of Thorm 4.3. W shall frquntly us th short-hand notation a b for inqualitis of th form a Cb, whr C > 0 solly may dpnd on κ in (3.1), th bounds in (2.3), th paramtr j 0 in (3.10), th polynomial dgr p, and th particular xponnt vctor undr considration Prliminaris. In this sction, w introduc discrt nighborhoods and stablish som ssntial mbdding proprtis and trac rsults for th wightd spac H k,l (Ω). W furthr introduc th brokn consistncy norm which is appropriat for our analysis; it is a gnralization to wightd spacs of th norm usd in [2, Sction 4.1] Auxiliary rsults. W first rcall a numbr of tchnical stimats which ar rlvant in our analysis. Th first rsult is th trac inquality: v q ( L q ( K) h 1 K v q L q (K) +hq K v q L (K)), v W 1,q (K), 1 q <, (5.1) q whrth implid constantis indpndnt ofh K, but alsodpnds on κ in (3.1) and on q. This bound follows radily by th trac inquality on a rfrnc triangl K combind with scaling argumnts mploying affin quivalnc. W will us th polynomial trac inquality q L 2 ( K) h 1/2 K q L 2 (K), q P p (K), (5.2)

12 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 11 as wll as th invrs inquality s,.g., [17, Lmmas 1.46 and 1.50]. q L () h 1/2 q L 2 (), q P p () ; (5.3) Discrt nighborhoods. For a partition T of Ω, w introduc th discrt nighborhoods N i (T ) := {K T : K Ω i }, 1 i M, N 0 (T ) := T \ ( M i=1 N i(t ) ). (5.4) W always assum th mshs to b sufficintly rfind, so that N i (T ) N j (T ) = for i j. Rmark 5.1. For 1 i M, an lmnt K N i (T ) can b writtn as K = (K Ω 0 ) (K Ω i ) with K Ω i. Thn, du to (2.10), (2.11), w find that v 2 H k+1,2 i = (K) v 2 H k+1,2 (K Ω + v 2 i 0) H k+1,2 (K Ω i i) v 2 H k+1,2 for any rgularity indx k 1. (K Ω + v 2 0) H k+1,2 (K Ω v 2, (5.5) i) H k+1,2 (K) Th following proprtis ar gnralizations of th rsults in [21, Lmmas and 1.3.4]. Lmma 5.2. For [0,1) M, thr holds: (i) Lt v H 0,0 (K) for K T. Thn w hav v K L 1 (K) and { hk v v L1 (K) H 0,0 (K), K N 0(T ), h 1 i K v H 0,0 (K), K N i(t ), 1 i M. (ii) Lt v H 1,1 (K) for K T. Thn w hav v K L 1 ( K) and { v L v L 1 ( K) 2 (K) +h K v H 1,1 (K), K N 0(T ), v L 2 (K) +h 1 i K v H 1,1 (K), K N i(t ), 1 i M. (iii) Lt v H 1,1 (Ω). Thn for any dg E I(T ), w hav (5.6) (5.7) [v] = 0 in L 1 (). (5.8) Rmark 5.3. Th proprtis in Lmma 5.2 ar valid for lmnts abutting at cornrs, for which thy hav bn provd in [21]. W furthr rmark that th first cas inqualitis in (5.6) and (5.7) hold tru for all lmnts K T away from cornrs, but without uniform control in wightd norms. Proof. W prov ach itm sparatly. Proof of (5.6): Lt K N i (T ) b such that K = (K Ω i ) (K Ω 0 ), whr ithr on or both of th intrsctions ar non-mpty. Clarly, v L 1 (K) = v L 1 (K Ω 0) + v L 1 (K Ω i). For th first trm, w us th Cauchy-Schwarz inquality and proprty (2.10) to obtain v L1 (K Ω 0) ara(k Ω 0 ) 1/2 v H 0,0 (K Ω0) h K v H 0,0 (K).

13 12 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB To stimat th scond trm, w introduc polar coordinats (r i,ϑ i ) cntrd at th vrtx c i and apply th Cauchy-Schwarz in combination with (2.11). This yilds v L 1 (K Ω i) = r i i v dx r i i L 2 (K) v H 0,0 (K). r i i K Ω i To bound r i i L 2 (K), w st r K = dist(k,c i ) = inf y K y c i 0. With th shap-rgularity assumption (3.1) and by intgrating out ovr th angular variabl ϑ i, w conclud that ri=r K+h K r i i 2 L 2 (K) r i=r K r 2i+1 i dr i r 2 2i i ri=rk+hk r i=r K h 2 2i K, whr th last inquality follows sinc x α y α x y α for any x,y [0, ) and α [0,1). Ths bounds imply (5.6) in all cass. Proof of (5.7): Th inquality (5.7) is a consqunc of th standard trac inquality (5.1) with q = 1 and th mbdding (5.6) applid to v H 0,0 (K)2, taking into account that v L 1 (K) h K v L 2 (K) for v H 1,1 (K). Proof of (5.8): Th idntity (5.8) is clar for dgs E I (T ) away from cornrs. For an dg E I (T ) with c i, lt x : [0,1], t x(t) b an affin paramtrization of with x(0) = c i. It can b radily sn that 1 ε [v] dt = 0 for all ε > 0. By Lbsgu s dominatd convrgnc thorm (using (5.7)), it follows that [v] ds = 1 0 [v] dt = 0, which is (5.8) for this cas Cornr lmnts and consistncy norm. In th squl, a particular rol will b playd by th subst K i (T ) of lmnts of N i (T ) abutting at c i, dfind by K i (T ) := {K N i (T ) : K c i }, 1 i M. (5.9) W also hav K i (T ) K j (T ) = for i j. W furthr may assum that K K i (T ) is locatd in th con Ω i (i.., K Ω i ). W thn st K(T ) := M K i (T ). (5.10) For lmnts away from cornrs, w nxt introduc th wightd lmntal norm i=1 M K [v] 2 := h 2 K v 2 L 2 (K) + v 2 L 2 (K) +h2 K D2 v 2 L 2 (K), K T \K(T ). (5.11) For a cornr lmnt K K i (T ) and i [0,1), w dfin N K,i [v] 2 := h 2 K v 2 L 2 (K) + v 2 L 2 (K) +h2 2i K v 2 H 2,2 i (K), K K i (T ). (5.12) Lmma 5.4. Lt [0,1) M, and v = v 0 +v N with v 0 H 2,2 (Ω) and v N V p (T ). Thn: (i) W hav v C 0 (K) for K T and v 2 C 0 (K) { M K [v] 2, K T \K(T ), N K,i [v] 2, K K i (T ), 1 i M. (5.13) (ii) W hav v L 1 ( K) 2 for K T and v 2 L 1 ( K) { M K [v] 2, K T \K(T ), N K,i [v] 2, K K i (T ), 1 i M. (5.14)

14 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 13 Proof. Th bound (5.13) followsfrom th continuousmbddingsh 2 ( K) C 0 ( K) and H 2,2 i ( K) C 0 ( K), rspctivly, formulatd for a rfrnc triangl K and combind with an affin scaling argumnt. To show (5.14), w not that for K T \ K(T ), th trac inquality (5.1) in L 1 ( K) combind with h 2 K v 2 L 1 (K) v 2 L 2 (K), D2 v 2 L 1 (K) h2 K D2 v 2 L 2 (K) radily yilds v 2 L 1 ( K) M K[v] 2. For K K i (T ), th inquality (5.14) follows from (5.7). For [0,1) M and a subst T T of lmnts, w now introduc th brokn consistncy norm v 2 T, := M M K [v] 2 + N K,i [v] 2. (5.15) K (T K(T))\K(T) i=1 K T K i(t ) W furthr show th following bound, which implis that DG nrgy norm (3.13) is boundd by th norm (5.15) for sufficintly smooth functions v. Lmma 5.5. Thr holds for all v H 1 (T ). v 2 DG K T ( h 2 K v 2 L 2 (K) + v 2 L 2 (K)), (5.16) Proof. With (2.3), it suffics to bound th jump trms apparing in th nrgy norm v DG. To this nd, lt = K K E I (T ) b an intrior dg. By applying th trac inquality (5.1) (with q = 2), th proprty (3.2) and th bounds in (2.3), w obtain j 1/2 [v] 2 L 2 () h 2 K v 2 L 2 (K) + v 2 L 2 (K) +h 2 K v 2 L 2 (K ) + v 2 L 2 (K ). A similar argumnt holds for Dirichlt dgs, which yilds (5.16) Bounddnss. W nxt stablish svral continuity rsults for th IP bilinar form a DG (, ) and for th right-hand sid l DG ( ) Continuity bounds for a DG (, ). To stablish continuity proprtis of a DG in (3.7), w first not that, by th Cauchy-Schwarz inquality and by (2.3), c v w dx v DG w DG, (5.17) K T E ID(T ) K j [v] [w] ds v DG w DG, (5.18) for all v,w H 1 (T ). Th bounddnss of th off-diagonal form r DG (v,w) in (3.8) is mor involvd and will b discussd nxt. Th first bound (5.19) blow is a standard rsult, s [2]. A proof is includd to rndr th rror analysis slf-containd. On th othr hand, th scond stimat (5.20) is a gnralization to wightd spacs of standard consistncy bounds as,.g., in [2, Sction 4.1] or [17, Sction 4.2]. To prov it, w us th approach in [21, Proposition 2.4.1], which is basd on using Höldr sinqualityin L 1 () L (); s alsolmma 5.2. Th third proprty (5.21) is nw and will b crucial to driv L 2 -norm rror stimats. Proposition 5.6. For r DG (, ) dfind in (3.8), thr holds:

15 14 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB (i) For v N V p (T ), w hav r DG (v N,w) C rdg,1j(w) v N DG, w H 1 (T ). (5.19) (ii) Lt [0,1) M. For vry v = v 0 +v N with v 0 H 2,2 (Ω) and v N V p (T ), thr holds for vry w N V p (T ) r DG (v,w N ) C rdg,2j(w N ) v T,. (5.20) (iii) Lt, [0,1) M. For vry v = v 0 + v N and w = w 0 + w N with v 0 H 2,2 (Ω), w 0 H 2,2 (Ω) and v N,w N V p (T ), w hav r DG (v,w) C rdg,3 w T, v T,. (5.21) In (5.19) (5.21), th constants C rdg,1,c rdg,2,c rdg,3 > 0 dpnd on κ in (3.1), th bounds in (2.3), on th paramtr j 0 in (3.10) and on th polynomial dgr p. Th constants C rdg,2,c rdg,3 furthr dpnd on th xponnts,. Proof. W procd in two stps: Proof of (5.19): For v N V p (T ) and for w H 1 (T ), th Cauchy-Schwarz inquality, th bounds in (2.3), th dfinition of j in (3.10), th quivalnc (3.2) and th polynomial trac inquality (5.2) yild r DG (v N,w) h 1/2 [w] L 2 ()h 1/2 v N L 2 () E ID(T ) ( ) 1/2 ( 1/2 J(w) h K v N 2 L 2 ( K) J(w) v N 2 L (K)), 2 K T which, togthr with (2.3), implis (5.19). Proof of (5.20) and (5.21): Lt K T w = w 0 +w N with w 0 H 2,2 (Ω) and w N V p (T ). (5.22) W invok Höldr s inquality as in [21, Proposition 2.4.1], th bound (2.3) and th discrt Cauchy-Schwarz inquality to obtain r DG (v,w) [w] v ds E ID(T ) E ID(T ) ( E ID(T ) ( E ID(T ) [w] C 0 () v L 1 () [w] 2 ) 1/2 ( L () v 2 L 1 () E ID(T ) [w] 2 ) 1/2 ( L () ) 1/2 K T v 2 L 1 ( K) ) 1/2. (5.23) In th last trm in (5.23) abov, w apply th bounds in (5.14) and find that ( v 2 1/2 L ( K)) v 1 T,. (5.24) K T Lt us now stablish (5.20) and tak w 0 = 0 in (5.22), (5.23). Thn, for ach dg E ID (T ), th jump [w] = [w N ] P p () is a univariat polynomial.

16 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 15 Thrfor, th invrs stimat (5.3), th bounds in (2.3) and th dfinition of j in (3.10) yild ( [w N ] 2 ) 1/2 ( L () h 1/2 [w N ] 2 1/2 L ()) 2 J(wN ). (5.25) E ID(T ) E ID(T ) Th combination of (5.23), (5.24) and (5.25) implis (5.20). Finally, to prov (5.21), w now tak in (5.22), (5.23) a gnric w = w 0 +w N, whr 0 w 0 H 2,2 (Ω). Thn, th mbddings (5.13) and th dfinition (5.15) show that ( [w] 2 ) 1/2 ( L () w 2 1/2 L ( K)) w T,. (5.26) K T E ID(T) Th quations (5.23), (5.24) and (5.26) yild th bound (5.21). Proposition 5.6 and th bounds in (5.17), (5.18) imply th following rsult. Proposition 5.7. Lt, [0,1) M. Thn: (i) For v = v 0 +v N with v 0 H 2,2 (Ω) and v N V p (T ), w hav a DG (v,w N ) C adg,1 v T, w N DG, w N V p (T ). (5.27) (ii) For v = v 0 +v N and w = w 0 +w N with v 0 H 2,2 (Ω), w 0 H 2,2 (Ω) and v N,w N V p (T ), w hav a DG (v,w) C adg,2 v T, w T,, (5.28) Th constants C adg,1,c adg,2 > 0 dpnd on κ in (3.1), th bounds in (2.3), th paramtr j 0 in (3.10), th polynomial dgr p and th xponnts,. Proof. To show (5.27), w mploy th continuity bounds (5.19) and (5.20), rspctivly. W find that r DG (w N,v) C rdg,1j(v) w N DG C rdg,1 v DG w N DG, r DG (v,w N ) C rdg,2j(w N ) v T, C rdg,2 v T, w N DG. Ths bounds in conjunction with (5.17), (5.18) and (5.16) imply (5.27). For th proof of (5.28), w apply (5.21) twic and obtain r DG (v,w) C rdg,3 v T, w T,, r DG (w,v) C rdg,3 w T, v T,. Th stimat (5.28) follows from (5.17), (5.18) and (5.16) Continuitybounds for l DG ( ). WiththsamargumntsusdtoprovProposition 5.6, w furthr driv bounds for th right-hand sid l DG ( ) in (3.9). For th functionals associatd with th sourc trm f and th Numann datum g N, w stablish bounds, which ar xprssd in trms of wightd norms of th data. Proposition 5.8. Lt, [0,1) M, f H 0,0 (Ω) and g N H 1/2,1/2 (Γ N ). Lt v = v 0 +v N with v 0 H 2,2 (Ω) and v N V p (T ). Thn: (i) W hav fv dx C f f H 0,0 (Ω) v T,. (5.29) K T K

17 16 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB (ii) For T N := {K T : K E N (T ) for E(T )}, w hav g N v ds C gn g N 1/2,1/2 H (Γ v N) TN,. (5.30) E N(T ) Th constants C f > 0 and C gn > 0 dpnd on κ in (3.1), th polynomial dgr p and th xponnts,. Proof. W prov ach itm sparatly. Proof of (5.29): For K T, proprty (5.6) and Höldr s inquality yild fv dx f L 1 (K) v C 0 (K) f H 0,0 (K) v C 0 (K). K Th summation of ths bounds ovr all lmnts K T, th discrt Cauchy- Schwarz inquality and th bounds in (5.13) now imply (5.29). Proof of (5.30): Lt G N H 1,1 (Ω) b such that G N ΓN = g N. For a Numann dg K E N (T ), w apply (5.7) and obtain g N v ds G N L 1 ( K) v C 0 (K) G N H 1,1 (K) v C 0 (K). Hnc, by summing this bound ovr all K T N, using th discrt Cauchy-Schwarz inquality, applying (5.13) and taking th infimimum ovrall possibl G N as abov, th bound (5.30) follows. Rmark 5.9. W not that in th proof of (5.29) som powrs of h (i.., h 2 2i for vrtx c i ) wr droppd aftr application of (5.6). Th rsulting bound (5.29) will b sufficint for our purposs. For th Dirichlt datum g D, w introduc th natural boundary jump trm J D (v) 2 := j 1/2 v 2 L 2 (). (5.31) As in (5.18), w thn hav E D(T) E D(T ) j g D v ds J D (g D )J D (v) (5.32) for any v H 1 (T ). Th rmaining functional associatd with g D in (3.9) can b boundd compltly analogously to r DG (, ) in Proposition 5.6. Proposition Lt, [0,1) M and dfin T D := {K T : K E D (T ) for E(T )}. Thn: (i) W hav for all v N V p (T ) g D c v N ds C gd,1j D (g D ) ( c 1/2 v N 2 ) 1/2. L 2 (K) (5.33) K T D E D(T ) (ii) Lt g D P p () for E D (T ). For any v = v 0 + v N with v 0 H 2,2 (Ω) and v N V p (T ), w hav g D c v ds C gd,2j D (g D ) v TD,. (5.34) E D(T )

18 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 17 (iii) Lt G D H 2,2 (Ω) b such that G D ΓD = g D H 3/2,3/2 (Γ D ). Lt v = v 0 +v N with v 0 H 2,2 (Ω) and v N V p (T ). Thn w hav g D c v ds C gd,3 G D TD, v TD,, (5.35) E D(T ) Th constants C gd,1,c gd,2,c gd,3 > 0 dpnd on κ in (3.1), th bounds in (2.3), th paramtr j 0 in (3.10), th polynomial dgr p and th xponnts,. Proof. W prov ach itm sparatly. Proof of (5.33): This bound is obtaind compltly analogously to (5.19). That is, with th hlp of (2.3), th dfinition of j in (3.10), th discrt Cauchy-Schwarz inquality, th quivalnc(3.2) and th polynomial trac inquality(5.2), w obtain for v N V p (T ) g D c v N ds j 1/2 g D L 2 ()h v N L 2 () E D(T ) E D(T ) J D (g D ) ( K T D h K v N 2 L 2 ( K) ) 1/2, which yilds (5.33). Proof of (5.34): Following(5.20),wusHöldr sinqualityinl () L 1 (), th discrt Cauchy-Schwarz inquality, th bounds in (2.3), th invrs inquality (5.3) (sinc g D is picwis polynomial) and th dfinition of j 0 in (3.10). This yilds E D(T) g D c v ds ( E D(T ) j 1/2 g D 2 ) 1/2 ( L 2 () v 2 1/2. L ( K)) 1 K T Invoking (5.14) shows (5.34). Proof of (5.35): This bound is similar to (5.21). By mploying Höldr s inquality and th discrt Cauchy-Schwarz inquality, w conclud that g D c v ds ( G D 2 ) 1/2 ( ) 1/2. L ( K) K T D E D(T ) K T D v 2 L 1 ( K) Th inqualitis (5.13) and (5.14) imply (5.35). Rmark Lt v = v 0 + v N, with v 0 H 2,2 (Ω) and v N V p (T ). Undr assumption (2.20) and from th bound (5.32), Proposition 5.8 and Proposition 5.10, w find th bounddnss of l DG ( ) in th sns that ldg (v) ( ClDG f H 0,0 (Ω) + g N 1/2,1/2 H (Γ +J ) N) D(g D )+ G D TD, v T,, (5.36) for a constant C ldg > 0 dpnding on κ in (3.1), th bounds in (2.3), th paramtr j 0 in (3.10), th polynomial dgr p and th xponnts, Consistncy. W vrify th Galrkin orthogonality proprty of th DG discrtization (3.6).

19 18 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB Intgration by parts. W will us th following variant of Grn s formula in [21, Lmma A.2.1]: For q H 1,1 (Ω)2, w hav q vdx = ( q)vdx+ q ν K vds, (5.37) K K for all K T and for v C 0 (K) with v L 2 (K) 2. In particular, if K K(T ) is a cornr lmnt, all intgrals in (5.37) ar wll-dfind in L 1 (K) L (K) rspctivly L 1 ( K) L ( K), du to Lmma 5.2 and Höldr s inquality. Th idntity (5.37) is radily provd using th dnsity of C (Ω) 2 in H 1,1 (Ω)2 ; cf. [21, Lmma A.2.1]. A consqunc of (5.37) is th following intgration-by-parts formula. Lmma Lt, [0,1) M. For v H 2,2 (Ω), w hav c v H1,1 (Ω)2, (c v) H 0,0 (Ω) and c v wdx = (c v)wdx+ c v [w]ds (5.38) K T K K T K K E(T) for any w = w 0 +w N with w 0 H 2,2 (Ω) and w N V p (T ). Hr, all th trms ar wll-dfind, which follows from Lmma 5.2, Lmma 5.4, and Proposition 5.8. In particular, as in Rmark 3.1, for cornr lmnts K K(T ), th volum intgrals on th right-hand sids ar undrstood in th sns of L 1 (K) L (K), and th intgrals ovr dgs E(T ) running into cornrs ar wll-dfind as bilinar forms ovr L 1 () L (). Proof. Sincv H 2,2 (Ω)andcissmooth, wclarlyhavq = c v H1,1 (Ω)2, and q H 0,0 (Ω), s Lmma 2.2. Morovr, th tst function w in (5.38) blongs to L (Ω) and satisfis for all K T : w K C 0 (K), cf. (2.15), and w K L 2 (K) 2. Hnc, by applying (5.37) and summing ovr all lmnts, w obtain c v wdx = (c v)wdx+ (c v) ν K wds. K T K K T K K T K All th trms abov ar wll-dfind thanks to Lmma 5.2, Lmma 5.4 and Proposition 5.8. In th last trm, w xprss intgrals ovr lmntal boundaris by intgrals ovr dgs using th idntity in [2, Equation (3.3)]. W conclud that (c v) ν K wds = c v [w]ds + [c v] w ds, K T K E(T ) E I(T ) whr again all trms ar wll-dfind ovr L 1 () L (). Th quality (5.38) now follows from (5.8) Galrkin orthogonality. Th following proprtis hold. Lmma For [0,1) M, lt u H 2,2 (Ω) b th solution of (2.4) (2.6). Thr holds: (i) Lt [0,1) M and v = v 0 +v N with v 0 H 2,2 (Ω) and v N V p (T ). Thn w hav a DG (u,v) = c u vdx r DG (u,v) = l DG (v), (5.39) K T K

20 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 19 whr r DG (u,v) and l DG (v) ar boundd as in (5.21) and (5.36) rspctivly. (ii) Lt u N V p (T ) b th IP approximation in (3.6). Thn th rror u u N satisfis a DG (u u N,v N ) = 0, v N V p (T ). (5.40) Proof. Th idntity (5.39) is an immdiat consqunc of th formula (5.38) and th PDE (2.4), by taking into account th boundary conditions in (2.5) and (2.6), rspctivly, and by noting that [u] = 0 for E I (T ) and [u] = g D ν for E D (T ). Th Galrkin orthogonality (5.40) follows immdiatly from (5.39) and th dfinition of th IP mthod (3.6). Rmark W mphasiz that idntity (5.39) in conjunction with th symmtry of th IP form a DG (, ) yilds adjoint-consistncy of th symmtric intrior pnalty mthod (3.6) in th sns of [2] Error stimats. W now driv gnric and quasi-optimal rror bounds Enrgy norm rror. W bgin by proving th following nrgy norm bound. Lmma For [0,1) M, lt u H 2,2 (Ω) b th solution of (2.4) (2.6). Lt u N V p (T ) b th IP approximation in (3.6). Thn w hav th nrgy norm rror bound u u N DG C inf u v N T,, (5.41) v N V p(t ) with a constant C > 0 dpnding on κ in (3.1), th bounds in (2.3), th paramtr j 0 in (3.10), th polynomial dgr p, and th xponnt. Proof. W procd in a standard mannr. For v N V p (T ), th triangl inquality givs u u N DG u v N DG + v N u N DG. Hnc, from th corcivity in Lmma 3.3 and th Galrkin orthogonality (5.40), w find that C cor v N u N 2 DG a DG (v N u N,v N u N ) = a DG (u v N,v N u N ). By th continuity of th form a DG (, ) in (5.27), w hav a DG (u v N,v N u N ) C adg,1 u v N T, v N u N DG. Th bound (5.41) follows L 2 -norm rror. To prov an L 2 -norm rror stimat for u u N, w us rgularity in wightd spacs for th dual problm: (c z) = u u N in Ω, (5.42) z = 0 on Γ D, (5.43) (c z) ν = 0 on Γ N. (5.44) For [0,1) M as in (2.19), th stability bound in Proposition 2.3 and th continuous mbdding L 2 (Ω) H 0,0 (Ω) nsur that z H2,2 (Ω) and that z H 2,2 (Ω) C stab,2 u u N H 0,0 (Ω) C dcc stab,2 u u N L2 (Ω). (5.45)

21 20 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB Lmma5.16. For [0,1) M as in (2.19), lt u H 2,2 (Ω) b th solution of (2.4) (2.6). Lt z H 2,2 (Ω) b th dual solution of (5.42) (5.44). Assum th approximation proprty inf z z N T, C approx d(p,t,) z H 2,2 z N V p(t) (Ω), (5.46) Lt furthr u N V p (T ) b th IP approximation in (3.6). Thn w hav th L 2 - norm rror bound u u N L2 (Ω) Cd(p,T,) inf v N V p(t ) u v N T,, (5.47) with a constant C > 0 dpnding on κ in (3.1), th bounds in (2.3), th constants C stab,2 and C approx in (5.45) and (5.46), rspctivly, th polynomial dgr p, and th wight xponnt vctor. Proof. W invok idntity (5.39) for v = u u N with rspct to th dual problm (5.42) (5.44) and mploy th symmtry of th IP form. This rsults in u u N 2 L 2 (Ω) = a DG(u u N,z). From hr on, w procd in a usual mannr and apply th Galrkin orthogonality (5.40) to conclud that u u N 2 L 2 (Ω) = a DG(u u N,z z N ) for all z N V p (T ). Hnc, by mploying (5.28), assumption (5.46) and th stability bound (5.45), w conclud that a DG (u u N,z z N ) C adg,2 u u N T, z z N T, Ths bounds imply (5.47). C adg,2c approx d(p,t,) z H 2,2 (Ω) u u N T, C adg,2c approx C dc C stab,2 d(p,t,) u u N L 2 (Ω) u u N T, Nodal intrpolation. In viw of th rror bounds (5.41) and (5.47), it rmains to stablish optimal intrpolation stimats on gradd and bisction rfinmnt mshs with rspct to th norm T,. For an lmnt K T, lt I p K : C0 (K) P p (K) dnot th lmntal nodal intrpolant into polynomials of dgr at most p. By standard intrpolation in lmnts away from S and for 1 k p, thr holds M K [v I p K v]2 h 2k K Dk+1 v 2 L 2 (K), K T \K(T ). (5.48) In cornr lmnts, th intrpolation bounds in [19, Lmma 4.16] for th linar intrpolant in th wightd spacs H 2,2 i (K) for i [0,1) giv N K, [v I 1 K v]2 h 2 2i K v 2 H 2,2 i (K), K K i(t ). (5.49) Hr, w not that IK 1 v is wll-dfind for v H2,2 i (K) du to (2.15). Du to (5.48), (5.49), w thn dfin th global intrpolant I p : C 0 (Ω) V p (T ) by { IK 1 I p v K := (v K) if K K(T ), I p K (v (5.50) K) othrwis. W not again that I p v is wll-dfind for v H 2,2 (Ω) C0 (Ω). Nxt, w driv intrpolation stimats for I p v on locally adaptd mshs.

22 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS Intrpolation stimats on gradd msh familis. W first considr gradd msh familis and prov approximation bounds which ar slightly gnralizd vrsions of thos in [21, Proposition 2.5.5]. Analogous rsults (on diffrnt msh familis and for conforming FEMs) ar obtaind in [7]. Proposition Lt p 1, [0,1) M and v H k+1,2 (Ω) for 1 k p. Lt T β b a gradd msh with grading vctor β = (β 1,...,β M ) chosn as in (4.1), i.., with β i (βi,1) whr βi := 1 1 i. (5.51) p Lt I p v b th intrpolant dfind in (5.50). Thn w hav th approximation bound v I p v Tβ, C grad N k/2 v H k+1,2 (Ω). (5.52) Th constant C grad > 0 is indpndnt of N, but dpnds on κ in (3.1), on th constant C dc in (2.10), (2.11), on th vctor, th paramtrs C G, β and β in Dfinition 4.2, th rgularity paramtr k, and th polynomial dgr p. Proof. For an intrior lmnt K N 0 (T β ), du to (5.48) and (2.10), thr holds M K [v I p v] 2 h 2k K Dk+1 v 2 L 2 (K) h2k v 2. (5.53) H k+1,2 (K) Nxt, for 1 i M, lt K N i (T β ), th discrt cornr nighborhood dfind in (5.4). Lt first K N i (T β )\K i (T β ). Thn, th bounds (5.48), th first proprty in Dfinition 4.1, and th fact that β i (βi,1) imply M K [v I p v] 2 h 2k K Dk+1 v 2 L 2 (K) h2k r βik i D k+1 v 2 L 2 (K) h 2k r β i k i D k+1 v 2 L 2 (K) h2k r k (1 i)k p i D k+1 v 2 L 2 (K). Sinc k (1 i ) k p k (1 i) and du to (5.5), w obtain M K [v I p v] 2 h 2k r i+k 1 i D k+1 v 2 L 2 (K) h 2k v 2 H k+1,2 (K) h2k v 2. (5.54) H k+1,2 i (K) Scond, lt K K i (T β ). Sinc r i (x) h K for all x K, th scond assumption in Dfinition 4.1 yilds and thn h K h 1 1 β i, as wll as sup x K h K h sup r i (x) β β i hh i K, x K β r i (x) β i i h 1 β i = h p 1 1 i. (5.55) Th stimat (5.49), th scond proprty in Dfinition 4.1, th bound (5.55) and proprty (2.11) now yild N K, [v I p v] 2 h 2 2i K v 2 H 2,2 i (K) h 2 2i sup x K h 2 2i sup x K r i (x) βi(2 2i) v 2 H k+1,2 (K) r i (x) β i (2 2i) v 2 H k+1,2 (K) h 2p v 2 H k+1,2 (K) h2k v 2. H k+1,2 (K) (5.56)

23 22 FABIAN MÜLLER, DOMINIK SCHÖTZAU, AND CHRISTOPH SCHWAB Summing th bounds in (5.53), (5.54) and (5.56) ovr all lmnts yilds v I p v 2 T β, h2k v 2. (5.57) H k+1,2 (Ω) Finally, an lmntary counting argumnt (s,.g., [21, Lmma 2.5.6]) rvals that N = dim(v p (T )) p 2 h 2, which implis (5.52) Intrpolation stimats on bisction rfinmnt mshs. W shall stablish th following variant of [9, Thorm 5.3], which is basd solly on th proprtis of th algorithm in [9]. W also rcall from Sction 4.2 that bisction rfinmnt msh family thus constructd is shap-rgular with κ in (3.1) dpnding on th initial msh T 0. Proposition Lt p 1, [0,1) M and v H k+1,2 (Ω) for 1 k p. For paramtrs h, γ (0,γ ] and L as in (4.2), i.., with γ := 1 M max i=1 i > 0 and h [2 (L+1)γ/(p+1),2 Lγ/(p+1) ). (5.58) considr th triangulations T h,2(l+1) constructd by th bisction rfinmnt algorithm of [9] starting from an initial triangulation T 0 with #T 0 h 2. Lt I p v b th intrpolant in (5.50). Thn w hav th approximation bound v I p v T2(L+1), C bis N k/2 v H k+1,2 (Ω). (5.59) Th constant C bis > 0 is indpndnt of N, but dpnds on th shap rgularity paramtr κ in (3.1), th constant C dc in (2.10), (2.11), th vctor, th initial msh T 0, th paramtr γ, th sufficintly larg rfinmnt paramtr L, th rgularity paramtr k, and on th polynomial dgr p. Proof. Following [9, Thorms 5.2 and 5.3], w procd in svral stps. Intrior lmnts: W first bound th rrors ovr lmnts in th intrior nighborhoodn 0 (T h,2(l+1) ). Tothisnd,wrcallfrom[9, Lmma4.4]thatthfirstloop of th bisction rfinmnt algorithm nsurs K h 2 K h2. Hnc, with (5.48) and (2.10), w find that K N 0(T h,2(l+1) ) M K [v I p v] 2 K N 0(T h,2(l+1) ) h 2k K N 0(T h,2(l+1) ) h 2k v 2 H k+1,2 (Ω). h 2k K D k+1 v 2 L 2 (K) v 2 H k+1,2 (K) (5.60) Cornr nighborhoods: Lt 1 i M b a fixd cornr indx. For K N i (T h,2(l+1) ), w st r K := dist(k,c i ) = inf r i(y). (5.61) y K As in [9, pag 933], w thn considr th following concntric nighborhoods at c i : D l := {K N i (T h,2(l+1) ) : 2 l+1 2 < r K 2 l 2 }, l = 0,...,2L+1, and D 2L+2 := {K N i (Th,2(L+1) i ) : r K 2 (L+1) }. Hr and as in [9], w assum without loss of gnrality that N i (T h,2(l+1) ) 2L+2 l=0 D l.

24 SYMMETRIC IP METHODS FOR ELLIPTIC PROBLEMS IN POLYGONS 23 Elmnts in D 2L+2 : W first bound th consistncy rrors in th lmnts in th innrmost nighborhood D 2L+2. To do so, w nd to stimat th trms T 1 and T 2 givn by T 1 = M K [v I p v] 2, (5.62) K D 2L+2 r K>0 T 2 = K D 2L+2 r K=0 N K, [v I p v] 2. (5.63) Lt K D 2L+2 and first considr th cas r K > 0. By [9, Lmma 4.6], thr holds h K r K. Morovr, r K r i (x) for all x K. With (5.48), w thus obtain M K [v I p v] 2 h 2k K D k+1 v 2 L 2 (K) r 2k K r2 2i 2k K r i+k 1 i D k+1 v 2 L 2 (K) r2 2i K v 2. H k+1,2 (K) i Using th dfinition of D 2L+2 and γ, as wll as th condition on h from (5.58), w find that M K [v I p v] 2 2 (2 2i)(L+1) v 2 H k+1,2 (K) i 2 2γ(L+1) v 2 H k+1,2 (K) h2p+2 v 2. (5.64) H k+1,2 i (K) i Scond, lt r K = 0. W now us (5.49) and procd as bfor. This rsults in N K, [v I p v] 2 h 2 2i K v 2 H 2,2 i (K) 2 2γ(L+1) v 2 H 2,2 i (K) h2p+2 v 2 H k+1,2 i (K). (5.65) Summing th stimats in (5.64) and (5.65) ovr all rlvant lmnts and taking into account (5.5) yild T 1 +T 2 h 2p+2 v 2 H k+1,2 (K) h2p+2 v 2. (5.66) H k+1,2 i (Ω) K D 2L+2 Notic that th bound (5.66) corrsponds to [9, Equation (5.5)]. Elmnts in D l : Nxt, considr an lmnt K D l, for 0 l 2L+1. Sinc r K 2 l 2, th rsult in [9, Lmma 4.7] and th dfinition of γ (0,γ ] imply K h 2 K h 2 2 lp+1 γ p+1 h 2 2 lp+1 γ p+1 h 2 2 lp+ i p+1. Thn, insrting th appropriat powr of r i, mploying th bound abov and noticing that r K 2 l+1 2, w conclud that Sinc M K [v I p v] 2 h 2k K Dk+1 v 2 L 2 (K) h 2k Kr 2 2i 2k K r i+k 1 i D k+1 v 2 L 2 (K) h 2k 2 lk p+ i p+1 2 (l+1)(k 1+ i) v 2 H k+1,2 h 2k 2 lk p+ i p+1 2 l(k 1+ i) v 2 H k+1,2 i (K). 2 l ( k p+ i p+1 (k 1+i) ) = 2 l(p k)(1 i )+(1 i ) p+1 1, i (K)

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

A LOCALLY CONSERVATIVE LDG METHOD FOR THE INCOMPRESSIBLE NAVIER-STOKES EQUATIONS

A LOCALLY CONSERVATIVE LDG METHOD FOR THE INCOMPRESSIBLE NAVIER-STOKES EQUATIONS A LOCALLY CONSERVATIVE LDG METHOD FOR THE INCOMPRESSIBLE NAVIER-STOES EQUATIONS BERNARDO COCBURN, GUIDO ANSCHAT, AND DOMINI SCHÖTZAU Abstract. In this papr, a nw local discontinuous Galrkin mthod for th

More information

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1 Chaptr 11 Th singular sris Rcall that by Thorms 10 and 104 togthr provid us th stimat 9 4 n 2 111 Rn = SnΓ 2 + on2, whr th singular sris Sn was dfind in Chaptr 10 as Sn = q=1 Sq q 9, with Sq = 1 a q gcda,q=1

More information

Another view for a posteriori error estimates for variational inequalities of the second kind

Another view for a posteriori error estimates for variational inequalities of the second kind Accptd by Applid Numrical Mathmatics in July 2013 Anothr viw for a postriori rror stimats for variational inqualitis of th scond kind Fi Wang 1 and Wimin Han 2 Abstract. In this papr, w giv anothr viw

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

AS 5850 Finite Element Analysis

AS 5850 Finite Element Analysis AS 5850 Finit Elmnt Analysis Two-Dimnsional Linar Elasticity Instructor Prof. IIT Madras Equations of Plan Elasticity - 1 displacmnt fild strain- displacmnt rlations (infinitsimal strain) in matrix form

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

Finite element discretization of Laplace and Poisson equations

Finite element discretization of Laplace and Poisson equations Finit lmnt discrtization of Laplac and Poisson quations Yashwanth Tummala Tutor: Prof S.Mittal 1 Outlin Finit Elmnt Mthod for 1D Introduction to Poisson s and Laplac s Equations Finit Elmnt Mthod for 2D-Discrtization

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

Chapter 10. The singular integral Introducing S(n) and J(n)

Chapter 10. The singular integral Introducing S(n) and J(n) Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Derangements and Applications

Derangements and Applications 2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir

More information

1 Isoparametric Concept

1 Isoparametric Concept UNIVERSITY OF CALIFORNIA BERKELEY Dpartmnt of Civil Enginring Spring 06 Structural Enginring, Mchanics and Matrials Profssor: S. Govindj Nots on D isoparamtric lmnts Isoparamtric Concpt Th isoparamtric

More information

Symmetric Interior Penalty Galerkin Method for Elliptic Problems

Symmetric Interior Penalty Galerkin Method for Elliptic Problems Symmtric Intrior Pnalty Galrkin Mthod for Elliptic Problms Ykatrina Epshtyn and Béatric Rivièr Dpartmnt of Mathmatics, Univrsity of Pittsburgh, 3 Thackray, Pittsburgh, PA 56, U.S.A. Abstract This papr

More information

The Equitable Dominating Graph

The Equitable Dominating Graph Intrnational Journal of Enginring Rsarch and Tchnology. ISSN 0974-3154 Volum 8, Numbr 1 (015), pp. 35-4 Intrnational Rsarch Publication Hous http://www.irphous.com Th Equitabl Dominating Graph P.N. Vinay

More information

On spanning trees and cycles of multicolored point sets with few intersections

On spanning trees and cycles of multicolored point sets with few intersections On spanning trs and cycls of multicolord point sts with fw intrsctions M. Kano, C. Mrino, and J. Urrutia April, 00 Abstract Lt P 1,..., P k b a collction of disjoint point sts in R in gnral position. W

More information

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis Middl East Tchnical Univrsity Dpartmnt of Mchanical Enginring ME 43 Introduction to Finit Elmnt Analysis Chaptr 3 Computr Implmntation of D FEM Ths nots ar prpard by Dr. Cünyt Srt http://www.m.mtu.du.tr/popl/cunyt

More information

SCHUR S THEOREM REU SUMMER 2005

SCHUR S THEOREM REU SUMMER 2005 SCHUR S THEOREM REU SUMMER 2005 1. Combinatorial aroach Prhas th first rsult in th subjct blongs to I. Schur and dats back to 1916. On of his motivation was to study th local vrsion of th famous quation

More information

arxiv: v1 [math.na] 3 Mar 2016

arxiv: v1 [math.na] 3 Mar 2016 MATHEMATICS OF COMPUTATION Volum 00, Numbr 0, Pags 000 000 S 0025-5718(XX)0000-0 arxiv:1603.01024v1 [math.na] 3 Mar 2016 RESIDUAL-BASED A POSTERIORI ERROR ESTIMATE FOR INTERFACE PROBLEMS: NONCONFORMING

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

A Family of Discontinuous Galerkin Finite Elements for the Reissner Mindlin plate

A Family of Discontinuous Galerkin Finite Elements for the Reissner Mindlin plate A Family of Discontinuous Galrkin Finit Elmnts for th Rissnr Mindlin plat Douglas N. Arnold Franco Brzzi L. Donatlla Marini Sptmbr 28, 2003 Abstract W dvlop a family of locking-fr lmnts for th Rissnr Mindlin

More information

UNIFIED A POSTERIORI ERROR ESTIMATOR FOR FINITE ELEMENT METHODS FOR THE STOKES EQUATIONS

UNIFIED A POSTERIORI ERROR ESTIMATOR FOR FINITE ELEMENT METHODS FOR THE STOKES EQUATIONS UNIFIED A POSTERIORI ERROR ESTIMATOR FOR FINITE ELEMENT METHODS FOR THE STOKES EQUATIONS JUNPING WANG, YANQIU WANG, AND XIU YE Abstract. This papr is concrnd with rsidual typ a postriori rror stimators

More information

A Weakly Over-Penalized Non-Symmetric Interior Penalty Method

A Weakly Over-Penalized Non-Symmetric Interior Penalty Method Europan Socity of Computational Mthods in Scincs and Enginring (ESCMSE Journal of Numrical Analysis, Industrial and Applid Mathmatics (JNAIAM vol.?, no.?, 2007, pp.?-? ISSN 1790 8140 A Wakly Ovr-Pnalizd

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming CPSC 665 : An Algorithmist s Toolkit Lctur 4 : 21 Jan 2015 Lcturr: Sushant Sachdva Linar Programming Scrib: Rasmus Kyng 1. Introduction An optimization problm rquirs us to find th minimum or maximum) of

More information

Deift/Zhou Steepest descent, Part I

Deift/Zhou Steepest descent, Part I Lctur 9 Dift/Zhou Stpst dscnt, Part I W now focus on th cas of orthogonal polynomials for th wight w(x) = NV (x), V (x) = t x2 2 + x4 4. Sinc th wight dpnds on th paramtr N N w will writ π n,n, a n,n,

More information

3 Finite Element Parametric Geometry

3 Finite Element Parametric Geometry 3 Finit Elmnt Paramtric Gomtry 3. Introduction Th intgral of a matrix is th matrix containing th intgral of ach and vry on of its original componnts. Practical finit lmnt analysis rquirs intgrating matrics,

More information

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM Elctronic Journal of Diffrntial Equations, Vol. 2003(2003), No. 92, pp. 1 6. ISSN: 1072-6691. URL: http://jd.math.swt.du or http://jd.math.unt.du ftp jd.math.swt.du (login: ftp) LINEAR DELAY DIFFERENTIAL

More information

An interior penalty method for a two dimensional curl-curl and grad-div problem

An interior penalty method for a two dimensional curl-curl and grad-div problem ANZIAM J. 50 (CTAC2008) pp.c947 C975, 2009 C947 An intrior pnalty mthod for a two dimnsional curl-curl and grad-div problm S. C. Brnnr 1 J. Cui 2 L.-Y. Sung 3 (Rcivd 30 Octobr 2008; rvisd 30 April 2009)

More information

Week 3: Connected Subgraphs

Week 3: Connected Subgraphs Wk 3: Connctd Subgraphs Sptmbr 19, 2016 1 Connctd Graphs Path, Distanc: A path from a vrtx x to a vrtx y in a graph G is rfrrd to an xy-path. Lt X, Y V (G). An (X, Y )-path is an xy-path with x X and y

More information

c 2007 Society for Industrial and Applied Mathematics

c 2007 Society for Industrial and Applied Mathematics SIAM J. NUMER. ANAL. Vol. 45, No. 3, pp. 1269 1286 c 2007 Socity for Industrial and Applid Mathmatics NEW FINITE ELEMENT METHODS IN COMPUTATIONAL FLUID DYNAMICS BY H (DIV) ELEMENTS JUNPING WANG AND XIU

More information

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation. MAT 444 H Barclo Spring 004 Homwork 6 Solutions Sction 6 Lt H b a subgroup of a group G Thn H oprats on G by lft multiplication Dscrib th orbits for this opration Th orbits of G ar th right costs of H

More information

Discontinuous Galerkin and Mimetic Finite Difference Methods for Coupled Stokes-Darcy Flows on Polygonal and Polyhedral Grids

Discontinuous Galerkin and Mimetic Finite Difference Methods for Coupled Stokes-Darcy Flows on Polygonal and Polyhedral Grids Discontinuous Galrkin and Mimtic Finit Diffrnc Mthods for Coupld Stoks-Darcy Flows on Polygonal and Polyhdral Grids Konstantin Lipnikov Danail Vassilv Ivan Yotov Abstract W study locally mass consrvativ

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim (implicit in notation and n a positiv intgr, lt ν(n dnot th xponnt of p in n, and U(n n/p ν(n, th unit

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

(Upside-Down o Direct Rotation) β - Numbers

(Upside-Down o Direct Rotation) β - Numbers Amrican Journal of Mathmatics and Statistics 014, 4(): 58-64 DOI: 10593/jajms0140400 (Upsid-Down o Dirct Rotation) β - Numbrs Ammar Sddiq Mahmood 1, Shukriyah Sabir Ali,* 1 Dpartmnt of Mathmatics, Collg

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

Mapping properties of the elliptic maximal function

Mapping properties of the elliptic maximal function Rv. Mat. Ibroamricana 19 (2003), 221 234 Mapping proprtis of th lliptic maximal function M. Burak Erdoğan Abstract W prov that th lliptic maximal function maps th Sobolv spac W 4,η (R 2 )intol 4 (R 2 )

More information

Supplementary Materials

Supplementary Materials 6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic

More information

A Family of Discontinuous Galerkin Finite Elements for the Reissner Mindlin Plate

A Family of Discontinuous Galerkin Finite Elements for the Reissner Mindlin Plate Journal of Scintific Computing, Volums 22 and 23, Jun 2005 ( 2005) DOI: 10.1007/s10915-004-4134-8 A Family of Discontinuous Galrkin Finit Elmnts for th Rissnr Mindlin Plat Douglas N. Arnold, 1 Franco Brzzi,

More information

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH.

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH. C:\Dallas\0_Courss\03A_OpSci_67\0 Cgh_Book\0_athmaticalPrliminaris\0_0 Combath.doc of 8 COPUTER GENERATED HOLOGRAS Optical Scincs 67 W.J. Dallas (onday, April 04, 005, 8:35 A) PART I: CHAPTER TWO COB ATH

More information

Homotopy perturbation technique

Homotopy perturbation technique Comput. Mthods Appl. Mch. Engrg. 178 (1999) 257±262 www.lsvir.com/locat/cma Homotopy prturbation tchniqu Ji-Huan H 1 Shanghai Univrsity, Shanghai Institut of Applid Mathmatics and Mchanics, Shanghai 272,

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

Equidistribution and Weyl s criterion

Equidistribution and Weyl s criterion Euidistribution and Wyl s critrion by Brad Hannigan-Daly W introduc th ida of a sunc of numbrs bing uidistributd (mod ), and w stat and prov a thorm of Hrmann Wyl which charactrizs such suncs. W also discuss

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim and n a positiv intgr, lt ν p (n dnot th xponnt of p in n, and u p (n n/p νp(n th unit part of n. If α

More information

Limiting value of higher Mahler measure

Limiting value of higher Mahler measure Limiting valu of highr Mahlr masur Arunabha Biswas a, Chris Monico a, a Dpartmnt of Mathmatics & Statistics, Txas Tch Univrsity, Lubbock, TX 7949, USA Abstract W considr th k-highr Mahlr masur m k P )

More information

UNIFIED ERROR ANALYSIS

UNIFIED ERROR ANALYSIS UNIFIED ERROR ANALYSIS LONG CHEN CONTENTS 1. Lax Equivalnc Torm 1 2. Abstract Error Analysis 2 3. Application: Finit Diffrnc Mtods 4 4. Application: Finit Elmnt Mtods 4 5. Application: Conforming Discrtization

More information

2.3 Matrix Formulation

2.3 Matrix Formulation 23 Matrix Formulation 43 A mor complicatd xampl ariss for a nonlinar systm of diffrntial quations Considr th following xampl Exampl 23 x y + x( x 2 y 2 y x + y( x 2 y 2 (233 Transforming to polar coordinats,

More information

ABEL TYPE THEOREMS FOR THE WAVELET TRANSFORM THROUGH THE QUASIASYMPTOTIC BOUNDEDNESS

ABEL TYPE THEOREMS FOR THE WAVELET TRANSFORM THROUGH THE QUASIASYMPTOTIC BOUNDEDNESS Novi Sad J. Math. Vol. 45, No. 1, 2015, 201-206 ABEL TYPE THEOREMS FOR THE WAVELET TRANSFORM THROUGH THE QUASIASYMPTOTIC BOUNDEDNESS Mirjana Vuković 1 and Ivana Zubac 2 Ddicatd to Acadmician Bogoljub Stanković

More information

A ROBUST NONCONFORMING H 2 -ELEMENT

A ROBUST NONCONFORMING H 2 -ELEMENT MAHEMAICS OF COMPUAION Volum 70, Numbr 234, Pags 489 505 S 0025-5718(00)01230-8 Articl lctronically publishd on Fbruary 23, 2000 A ROBUS NONCONFORMING H 2 -ELEMEN RYGVE K. NILSSEN, XUE-CHENG AI, AND RAGNAR

More information

DG Methods for Elliptic Equations

DG Methods for Elliptic Equations DG Mthods for Elliptic Equations Part I: Introduction A Prsntation in Profssor C-W Shu s DG Sminar Andras löcknr Tabl of contnts Tabl of contnts 1 Sourcs 1 1 Elliptic Equations 1 11

More information

c 2017 Society for Industrial and Applied Mathematics

c 2017 Society for Industrial and Applied Mathematics SIAM J. NUMER. ANAL. Vol. 55, No. 4, pp. 1719 1739 c 017 Socity for Industrial and Applid Mathmatics ON HANGING NODE CONSTRAINTS FOR NONCONFORMING FINITE ELEMENTS USING THE DOUGLAS SANTOS SHEEN YE ELEMENT

More information

Abstract Interpretation: concrete and abstract semantics

Abstract Interpretation: concrete and abstract semantics Abstract Intrprtation: concrt and abstract smantics Concrt smantics W considr a vry tiny languag that manags arithmtic oprations on intgrs valus. Th (concrt) smantics of th languags cab b dfind by th funzcion

More information

Finding low cost TSP and 2-matching solutions using certain half integer subtour vertices

Finding low cost TSP and 2-matching solutions using certain half integer subtour vertices Finding low cost TSP and 2-matching solutions using crtain half intgr subtour vrtics Sylvia Boyd and Robrt Carr Novmbr 996 Introduction Givn th complt graph K n = (V, E) on n nods with dg costs c R E,

More information

A LOCALLY DIVERGENCE-FREE INTERIOR PENALTY METHOD FOR TWO-DIMENSIONAL CURL-CURL PROBLEMS

A LOCALLY DIVERGENCE-FREE INTERIOR PENALTY METHOD FOR TWO-DIMENSIONAL CURL-CURL PROBLEMS A LOCALLY DIVERGENCE-FREE INTERIOR PENALTY METHOD FOR TWO-DIMENSIONAL CURL-CURL PROBLEMS SUSANNE C. BRENNER, FENGYAN LI, AND LI-YENG SUNG Abstract. An intrior pnalty mthod for crtain two-dimnsional curl-curl

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

Title: Vibrational structure of electronic transition

Title: Vibrational structure of electronic transition Titl: Vibrational structur of lctronic transition Pag- Th band spctrum sn in th Ultra-Violt (UV) and visibl (VIS) rgions of th lctromagntic spctrum can not intrprtd as vibrational and rotational spctrum

More information

H(curl; Ω) : n v = n

H(curl; Ω) : n v = n A LOCALLY DIVERGENCE-FREE INTERIOR PENALTY METHOD FOR TWO-DIMENSIONAL CURL-CURL PROBLEMS SUSANNE C. BRENNER, FENGYAN LI, AND LI-YENG SUNG Abstract. An intrior pnalty mthod for crtain two-dimnsional curl-curl

More information

16. Electromagnetics and vector elements (draft, under construction)

16. Electromagnetics and vector elements (draft, under construction) 16. Elctromagntics (draft)... 1 16.1 Introduction... 1 16.2 Paramtric coordinats... 2 16.3 Edg Basd (Vctor) Finit Elmnts... 4 16.4 Whitny vctor lmnts... 5 16.5 Wak Form... 8 16.6 Vctor lmnt matrics...

More information

1 Minimum Cut Problem

1 Minimum Cut Problem CS 6 Lctur 6 Min Cut and argr s Algorithm Scribs: Png Hui How (05), Virginia Dat: May 4, 06 Minimum Cut Problm Today, w introduc th minimum cut problm. This problm has many motivations, on of which coms

More information

NIL-BOHR SETS OF INTEGERS

NIL-BOHR SETS OF INTEGERS NIL-BOHR SETS OF INTEGERS BERNARD HOST AND BRYNA KRA Abstract. W study rlations btwn substs of intgrs that ar larg, whr larg can b intrprtd in trms of siz (such as a st of positiv uppr dnsity or a st with

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

A SPLITTING METHOD USING DISCONTINUOUS GALERKIN FOR THE TRANSIENT INCOMPRESSIBLE NAVIER-STOKES EQUATIONS

A SPLITTING METHOD USING DISCONTINUOUS GALERKIN FOR THE TRANSIENT INCOMPRESSIBLE NAVIER-STOKES EQUATIONS ESAIM: MAN Vol. 39, N o 6, 005, pp. 5 47 DOI: 0.05/man:005048 ESAIM: Mathmatical Modlling and Numrical Analysis A SPLITTING METHOD USING DISCONTINUOUS GALERKIN FOR THE TRANSIENT INCOMPRESSIBLE NAVIER-STOKES

More information

EXST Regression Techniques Page 1

EXST Regression Techniques Page 1 EXST704 - Rgrssion Tchniqus Pag 1 Masurmnt rrors in X W hav assumd that all variation is in Y. Masurmnt rror in this variabl will not ffct th rsults, as long as thy ar uncorrlatd and unbiasd, sinc thy

More information

Analysis of a Discontinuous Finite Element Method for the Coupled Stokes and Darcy Problems

Analysis of a Discontinuous Finite Element Method for the Coupled Stokes and Darcy Problems Journal of Scintific Computing, Volums and 3, Jun 005 ( 005) DOI: 0.007/s095-004-447-3 Analysis of a Discontinuous Finit Elmnt Mthod for th Coupld Stoks and Darcy Problms Béatric Rivièr Rcivd July 8, 003;

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

A C 0 INTERIOR PENALTY METHOD FOR A FOURTH ORDER ELLIPTIC SINGULAR PERTURBATION PROBLEM

A C 0 INTERIOR PENALTY METHOD FOR A FOURTH ORDER ELLIPTIC SINGULAR PERTURBATION PROBLEM A C 0 INERIOR PENALY MEHOD FOR A FOURH ORDER ELLIPIC SINGULAR PERURBAION PROBLEM SUSANNE C. BRENNER AND MICHAEL NEILAN Abstract. In tis papr, w dvlop a C 0 intrior pnalty mtod for a fourt ordr singular

More information

Adrian Lew, Patrizio Neff, Deborah Sulsky, and Michael Ortiz

Adrian Lew, Patrizio Neff, Deborah Sulsky, and Michael Ortiz AMRX Applid Mathmatics Rsarch Xprss 004, No. 3 Optimal V stimats for a Discontinuous Galrkin Mthod for Linar lasticity Adrian Lw, Patrizio Nff, Dborah Sulsky, and Michal Ortiz 1 Introduction Discontinuous

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

Quasi-Classical States of the Simple Harmonic Oscillator

Quasi-Classical States of the Simple Harmonic Oscillator Quasi-Classical Stats of th Simpl Harmonic Oscillator (Draft Vrsion) Introduction: Why Look for Eignstats of th Annihilation Oprator? Excpt for th ground stat, th corrspondnc btwn th quantum nrgy ignstats

More information

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM Jim Brown Dpartmnt of Mathmatical Scincs, Clmson Univrsity, Clmson, SC 9634, USA jimlb@g.clmson.du Robrt Cass Dpartmnt of Mathmatics,

More information

Numerische Mathematik

Numerische Mathematik Numr. Math. 04 6:3 360 DOI 0.007/s00-03-0563-3 Numrisch Mathmatik Discontinuous Galrkin and mimtic finit diffrnc mthods for coupld Stoks Darcy flows on polygonal and polyhdral grids Konstantin Lipnikov

More information

Square of Hamilton cycle in a random graph

Square of Hamilton cycle in a random graph Squar of Hamilton cycl in a random graph Andrzj Dudk Alan Friz Jun 28, 2016 Abstract W show that p = n is a sharp thrshold for th random graph G n,p to contain th squar of a Hamilton cycl. This improvs

More information

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let It is impossibl to dsign an IIR transfr function with an xact linar-phas It is always possibl to dsign an FIR transfr function with an xact linar-phas rspons W now dvlop th forms of th linarphas FIR transfr

More information

Exercise 1. Sketch the graph of the following function. (x 2

Exercise 1. Sketch the graph of the following function. (x 2 Writtn tst: Fbruary 9th, 06 Exrcis. Sktch th graph of th following function fx = x + x, spcifying: domain, possibl asymptots, monotonicity, continuity, local and global maxima or minima, and non-drivability

More information

NONCONFORMING FINITE ELEMENTS FOR REISSNER-MINDLIN PLATES

NONCONFORMING FINITE ELEMENTS FOR REISSNER-MINDLIN PLATES NONCONFORMING FINITE ELEMENTS FOR REISSNER-MINDLIN PLATES C. CHINOSI Dipartimnto di Scinz Tcnologi Avanzat, Univrsità dl Pimont Orintal, Via Bllini 5/G, 5 Alssandria, Italy E-mail: chinosi@mfn.unipmn.it

More information

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations MATH 39, WEEK 5: Th Fundamntal Matrix, Non-Homognous Systms of Diffrntial Equations Fundamntal Matrics Considr th problm of dtrmining th particular solution for an nsmbl of initial conditions For instanc,

More information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the Copyright itutcom 005 Fr download & print from wwwitutcom Do not rproduc by othr mans Functions and graphs Powr functions Th graph of n y, for n Q (st of rational numbrs) y is a straight lin through th

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

APPROXIMATION THEORY, II ACADEMIC PRfSS. INC. New York San Francioco London. J. T. aden

APPROXIMATION THEORY, II ACADEMIC PRfSS. INC. New York San Francioco London. J. T. aden Rprintd trom; APPROXIMATION THORY, II 1976 ACADMIC PRfSS. INC. Nw York San Francioco London \st. I IITBRID FINIT L}ffiNT }ffithods J. T. adn Som nw tchniqus for dtrmining rror stimats for so-calld hybrid

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

That is, we start with a general matrix: And end with a simpler matrix:

That is, we start with a general matrix: And end with a simpler matrix: DIAGON ALIZATION OF THE STR ESS TEN SOR INTRO DUCTIO N By th us of Cauchy s thorm w ar abl to rduc th numbr of strss componnts in th strss tnsor to only nin valus. An additional simplification of th strss

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scinc March 15, 005 Srini Dvadas and Eric Lhman Problm St 6 Solutions Du: Monday, March 8 at 9 PM in Room 3-044 Problm 1. Sammy th Shark is a financial srvic providr

More information

Homework #3. 1 x. dx. It therefore follows that a sum of the

Homework #3. 1 x. dx. It therefore follows that a sum of the Danil Cannon CS 62 / Luan March 5, 2009 Homwork # 1. Th natural logarithm is dfind by ln n = n 1 dx. It thrfor follows that a sum of th 1 x sam addnd ovr th sam intrval should b both asymptotically uppr-

More information

A POSTERIORI ERROR ESTIMATION FOR AN INTERIOR PENALTY TYPE METHOD EMPLOYING H(DIV) ELEMENTS FOR THE STOKES EQUATIONS

A POSTERIORI ERROR ESTIMATION FOR AN INTERIOR PENALTY TYPE METHOD EMPLOYING H(DIV) ELEMENTS FOR THE STOKES EQUATIONS A POSTERIORI ERROR ESTIMATION FOR AN INTERIOR PENALTY TYPE METHOD EMPLOYING H(DIV) ELEMENTS FOR THE STOKES EQUATIONS JUNPING WANG, YANQIU WANG, AND XIU YE Abstract. This papr stablishs a postriori rror

More information

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit. ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b

More information

Reparameterization and Adaptive Quadrature for the Isogeometric Discontinuous Galerkin Method

Reparameterization and Adaptive Quadrature for the Isogeometric Discontinuous Galerkin Method Rparamtrization and Adaptiv Quadratur for th Isogomtric Discontinuous Galrkin Mthod Agns Silr, Brt Jüttlr 2 Doctoral Program Computational Mathmatics 2 Institut of Applid Gomtry Johanns Kplr Univrsity

More information

ME469A Numerical Methods for Fluid Mechanics

ME469A Numerical Methods for Fluid Mechanics ME469A Numrical Mthods for Fluid Mchanics Handout #5 Gianluca Iaccarino Finit Volum Mthods Last tim w introducd th FV mthod as a discrtization tchniqu applid to th intgral form of th govrning quations

More information

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2 BSc Enginring Scincs A. Y. 27/8 Writtn xam of th cours Mathmatical Analysis 2 August, 28. Givn th powr sris + n + n 2 x n, n n dtrmin its radius of convrgnc r, and study th convrgnc for x ±r. By th root

More information

MCB137: Physical Biology of the Cell Spring 2017 Homework 6: Ligand binding and the MWC model of allostery (Due 3/23/17)

MCB137: Physical Biology of the Cell Spring 2017 Homework 6: Ligand binding and the MWC model of allostery (Due 3/23/17) MCB37: Physical Biology of th Cll Spring 207 Homwork 6: Ligand binding and th MWC modl of allostry (Du 3/23/7) Hrnan G. Garcia March 2, 207 Simpl rprssion In class, w drivd a mathmatical modl of how simpl

More information

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018 Propositional Logic Combinatorial Problm Solving (CPS) Albrt Olivras Enric Rodríguz-Carbonll May 17, 2018 Ovrviw of th sssion Dfinition of Propositional Logic Gnral Concpts in Logic Rduction to SAT CNFs

More information

RELIABLE AND EFFICIENT A POSTERIORI ERROR ESTIMATES OF DG METHODS FOR A SIMPLIFIED FRICTIONAL CONTACT PROBLEM

RELIABLE AND EFFICIENT A POSTERIORI ERROR ESTIMATES OF DG METHODS FOR A SIMPLIFIED FRICTIONAL CONTACT PROBLEM INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING Volum 16, Numbr 1, Pags 49 62 c 2019 Institut for Scintific Computing and Information RELIABLE AND EFFICIENT A POSTERIORI ERROR ESTIMATES OF DG

More information

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory Ch. 4 Molcular Raction Dynamics 1. Collision Thory Lctur 16. Diffusion-Controlld Raction 3. Th Matrial Balanc Equation 4. Transition Stat Thory: Th Eyring Equation 5. Transition Stat Thory: Thrmodynamic

More information

Boundary layers for cellular flows at high Péclet numbers

Boundary layers for cellular flows at high Péclet numbers Boundary layrs for cllular flows at high Péclt numbrs Alxi Novikov Dpartmnt of Mathmatics, Pnnsylvania Stat Univrsity, Univrsity Park, PA 16802 Gorg Papanicolaou Dpartmnt of Mathmatics, Stanford Univrsity,

More information