Separating principles below Ramsey s Theorem for Pairs

Size: px
Start display at page:

Download "Separating principles below Ramsey s Theorem for Pairs"

Transcription

1 Sparating principls blow Ramsy s Thorm for Pairs Manul Lrman, Rd Solomon, Hnry Towsnr Fbruary 4, Introduction In rcnt yars, thr has bn a substantial amount of work in rvrs mathmatics concrning natural mathmatical principls that ar provabl from RT 2 2, Ramsy s Thorm for Pairs. Ths principls tnd to fall outsid of th big fiv systms of rvrs mathmatics and a complicatd pictur of subsystms blow RT 2 2 has mrgd. In this papr, w answr two opn qustions concrning ths subsystms, spcifically that ADS is not quivalnt to CAC and that EM is not quivalnt to RT 2 2. W bgin with a rviw of th dfinitions and known rsults for th rlvant systms blow RT 2 2, but will assum a gnral familiarity with rvrs mathmatics. W rfr th radr to Simpson [6] for background on rvrs mathmatics and to Hirschfldt and Shor [4] for background on th gnral pictur of subsystms blow RT 2 2. Unlss othrwis spcifid, w always work in th bas thory RCA 0. W will hav ordrings on a varity of structurs, but w typically rsrv th symbols < and for thr contxts: th usual ordr on N, xtnsions of forcing conditions and comparing sts. If F is a finit st and G is a (finit or infinit) st, w writ F < G to dnot max(f ) < min(g). Without loss of gnrality, w assum that th infinit algbraic structurs dfind blow hav domain N. Dfinition 1.1. A 2-coloring of [N] 2 (or simply a coloring), whr [N] 2 dnots th st of all two lmnt substs of N, is a function c : [N] 2 {0, 1}. A st H N is homognous for c if c is constant on [H] 2. (RT 2 2) Ramsy s Thorm for Pairs: Evry 2-coloring of [N] 2 has an infinit homognous st. W rfr to an infinit homognous st for a coloring c as a solution to c. W typically writ c(x, y), as opposd to c({x, y}), with implicit assumption that x < y. Dfinition 1.2. Lt c b a 2-coloring of [N] 2. Dfin A (c) (rspctivly B (c)) to b th st of numbrs which ar colord 0 (rspctivly 1) with all but finitly many othr numbrs. Th coloring c is stabl if A (c) B (c) = N. A (c) = {n x y > x (c(n, y) = 0)} B (c) = {n x y > x (c(n, y) = 1)} 1

2 (SRT 2 2) Stabl Ramsy s Thorm for Pairs: Evry stabl 2-coloring of [N] 2 has an infinit homognous st. Chong, Slaman and Yang [3] hav rcntly shown that SRT 2 2 is strictly wakr than RT 2 2. Dfinition 1.3. Lt M = (N, M ) b a post. For x, y M, w say that x and y ar comparabl if ithr x M y or y M x, and w say x and y ar incomparabl (and writ x M y) if x M y and y M x. S N is a chain in M if for all x, y S, x and y ar comparabl. S is an antichain in M if for all x y S, x and y ar incomparabl. (CAC) Chain-AntiChain: Evry infinit post M contains ithr an infinit chain or an infinit antichain. A solution to an infinit post M is an infinit st S such that S is ithr a chain or an antichain. It is straightforward to show that RT 2 2 CAC by transforming instancs of CAC into instancs of RT 2 2. Givn a partial ordr M = (N, M ), dfin th coloring c M by stting c M (x, y) = 0 if x and y ar comparabl and stting c M (x, y) = 1 othrwis. If H is an infinit homognous st for c M with color 0, thn H is an infinit chain in M. If H is an infinit homognous st with color 1, thn H is an infinit antichain in M. Hirschfldt and Shor [4] showd that on cannot giv a similar transformation of instancs of RT 2 2 into instancs of CAC by showing that CAC SRT 2 2. Dfinition 1.4. Lt M = (N, M ) b an infinit partial ordr. Dfin A (M) = {n x y > x (n M y)} B (M) = {n x y > x (n M y)} C (M) = {n x y > x (y M n)} M is stabl if ithr A (M) B (M) = N or C (M) B (M) = N. (SCAC) Stabl Chain-Antichain: Evry infinit stabl post M contains ithr an infinit chain or an infinit anti chain. Whn w work with SCAC latr, w will construct an infinit post M such that A (M) B (M) = N. Thus, our notations for A (M) and B (M) ar chosn to paralll th corrsponding notations for SRT 2 2. Although SRT 2 2 SCAC by th transformation givn abov, Hirschfldt and Shor [4] showd that SCAC CAC. Dfinition 1.5. Lt L = (N, < L ) b an infinit linar ordr. A function f : N L is an infinit ascnding squnc in L if for all n < m, f(n) < L f(m) and is an infinit dscnding squnc in L if for all n < m, f(n) > L f(m). (ADS) Ascnding or Dscnding Squnc: Evry infinit linar ordr L has an infinit ascnding squnc or an infinit dscnding squnc. Dfinition 1.6. An infinit linar ordr L is stabl if L has ordr typ ω + ω. That is, for vry x, thr is a y such that ithr z > y (x < L z) or z > y (z < L x). 2

3 (SADS) Stabl Ascnding or Dscnding Squnc: Evry infinit stabl linar ordr has an infinit ascnding squnc or an infinit dscnding squnc. A solution to an infinit linar ordr L is a function which is ithr an infinit ascnding squnc or an infinit dscnding squnc. As abov, on can show CAC ADS by transforming instancs of ADS into instancs of CAC. Givn an infinit linar ordr (N, < L ), dfin an infinit partial ordr M = (N, M ) by x M y if and only if x L y and x y. Lt S = {s 0 < s 1 < } b a solution to M and dfin f(n) = s n. If S is a chain in M, thn f is an ascnding chain in L. If S is an antichain in M, thn f is a dscnding chain in L. Hirschfldt and Shor [4] provd that SADS ADS, but lft opn th qustion of whthr ADS implis CAC or SADS implis SCAC. Our first rsult answrs both of ths qustions in th ngativ by sparating ADS from SCAC in an ω-modl. Thorm 1.7. Thr is a Turing idal I P(ω) such that th ω-modl (ω, I) satisfis ADS but not SCAC. Thrfor, ADS dos not imply SCAC. This thorm will b provd in Sction 2. Our scond rsult concrns infinit tournamnts and th Erdös-Mosr Thorm. Dfinition 1.8. A tournamnt T on a domain D N is an irrflxiv binary rlation on D such that for all x y D, xactly on of T (x, y) or T (y, x) holds. T is transitiv if for all x, y, z D, if T (x, y) and T (y, z) hold, thn T (x, z) holds. In kping with our trminology abov, an infinit tournamnt rfrs to a tournamnt T with domain N. An infinit transitiv subtournamnt of T (or a solution to T ) is an infinit st S N such that T rstrictd to domain S is transitiv. Th Erdös-Mosr Principl stats that such solutions always xist. (EM) Erdös-Mosr Principl: Evry infinit tournamnt contains an infinit transitiv subtournamnt. EM follows from RT 2 2 by transforming instancs of EM into instancs of RT 2 2. Lt T b an infinit tournamnt and dfin th coloring c T for x < y by c T (x, y) = 0 if T (x, y) holds and c T (x, y) = 1 if T (y, x) holds. Suppos H is an infinit homognous st for th color 0. Thn, H is transitiv in T bcaus for all x y H, T (x, y) holds if and only if x < y. Similarly, if H is homognous for th color 1, thn H is transitiv in T bcaus for all x y H, T (x, y) holds if and only if x > y. Sinc computabl instancs of RT 2 2 hav Π 0 2 solutions and hav low 2 solutions, it follows from this translation that computabl instancs of EM also hav Π 0 2 solutions and hav low 2 solutions. In Sction 3, w prsnt a proof du to Kach, Lrman, Solomon and Wbr that ths bounds ar bst possibl. Thorm 1.9 (Kach, Lrman, Solomon and Wbr). Thr is a computabl instanc of EM with no 0 2 solution, and hnc no Σ 0 2 solution or low solution. Similar tchniqus wr usd by Dzhafarov, Kach, Lrman and Solomon to diagonaliz against th xistnc of hyprimmun-fr solutions. 3

4 Thorm 1.10 (Dzhafarov, Kach, Lrman and Solomon). Thr is a computabl instanc of EM with no hyprimmun-fr solution. Formalizing Thorm 1.10 in rvrs mathmatics, which can b don in RCA 0 + BΣ 0 2, givs a lowr bound on th strngth of EM. Hirschfldt, Shor and Slaman [5] provd that th following vrsion of th Omitting Typs Thorm, dnotd OPT, is quivalnt to th statmnt that for vry X, thr is a function not dominatd by any X-rcursiv function (i.. thr is a dgr which is hyprimmun rlativ to X). (OPT) Omitting Partial Typs: Lt T b a complt thory and S b a st of partial typs of T. Thr is a modl of T that omits all th nonprincipal typs in S. Hnc, EM implis OPT ovr RCA 0 + BΣ 0 2. It rmains an opn qustion whthr EM implis BΣ 0 2. Bovykin and Wirmann [1] showd that on can transform an instanc c of RT 2 2 into an instanc T c of EM, but that xtracting th solution to c from th solution to T c rquirs an application of ADS. To s why ADS might b usful, notic that if S is a transitiv subtournamnt of an infinit tournamnt T, thn T dfins a linar ordr on S. Thorm 1.11 (Bovykin and Wirmann [1]). EM + ADS implis RT 2 2. Proof. Fix a coloring c : [N] 2 {0, 1}. Dfin an infinit tournamnt T c as follows. T c (x, y) holds if ithr x < y and c(x, y) = 1 or y < x and c(y, x) = 0. Lt S b an infinit transitiv subtournamnt of T c and lt S b th linar ordr on S inducd by T c. By ADS, lt f b an infinit ascnding squnc or an infinit dscnding squnc in (S, S ). By thinning out f, w can assum that f(0) < f(1) < f(2) < and hnc th rang of f xists in RCA 0. Suppos that f is an ascnding squnc in S. Fix n < m. Sinc f(n) < S f(m), th rlation T c (f(n), f(m)) holds. Bcaus f(n) < f(m) and T c (f(n), f(m)) holds, it follows that c(f(n), f(m)) = 1. Thrfor, th rang of f is homognous for c with color 1. Suppos that f is a dscnding squnc in S. Fix n < m. Sinc f(m) < S f(n), th rlation T c (f(m), f(n)) holds. Bcaus f(n) < f(m), it follows that c(f(n), f(m)) = 0. Thrfor, th rang of f is homognous for c with color 0. Corollary CAC dos not prov EM (and hnc ADS dos not prov EM ithr). Proof. Suppos for a contradiction that CAC implis EM. Sinc CAC also provs ADS, it follows from Thorm 1.11 that CAC provs RT 2 2. Howvr, by Hirschfldt and Shor [4], CAC dos not prov RT 2 2. Corollary EM implis RT 2 2 if and only if EM implis ADS. Proof. This follows immdiatly from Thorm 1.11 and th fact that RT 2 2 implis ADS. An infinit tournamnt T is stabl if for all x, thr is a y such that ithr T (x, z) holds for all z > y or T (z, x) holds for all z > y. (SEM) Stabl Erdös-Mosr Principl: Evry infinit stabl tournamnt contains an infinit transitiv subtournamnt. 4

5 Corollary SEM + SADS implis SRT 2 2. Proof. Lt c b a stabl coloring and dfin T c as in Thorm W show that T c is a stabl tournamnt. Fix x. Lt y > x and i {0, 1} b such that c(x, z) = i for all z > y. Suppos that i = 0. For vry z > y, w hav x < z and c(x, z) = 0, and hnc T c (z, x) holds. On th othr hand, suppos i = 1. For all z > y, w hav x < z and c(x, z) = 1, w hav T c (x, z) holds. Thrfor, T c is stabl. By SEM, thr is an infinit transitiv subtournamnt S of T c. Th corollary follows onc w show that th linar ordr inducd by T c on S is stabl. Fix x S. Sinc T c is stabl, thr is a y > x such that ithr T c (x, z) holds for all z > y (and hnc x < S z for all z > y with z S) or T c (z, x) holds for all z > y (and hnc z < S x for all z > y with z S). Thrfor, (S, S ) is a stabl linar ordr and SADS suffics to xtract an infinit ascnding or dscnding chain in S. Our scond rsult, to b provd in Sction 4, is that EM dos not imply SRT 2 2, and hnc th inclusion of ADS in Thorm 1.11 cannot b rmovd. Thorm Thr is a Turing idal I P(ω) such that th ω-modl (ω, I) satisfis EM but not SRT 2 2. Thrfor, EM dos not imply SRT 2 2. Corollary EM dos not imply SADS (and hnc nithr EM nor SEM implis ithr ADS or SADS). Proof. Suppos for a contradiction that EM implis SADS. Sinc EM implis SEM, and SEM + SADS implis SRT 2 2, w hav EM implis SRT 2 2, contradiction Thorm ADS dos not imply SCAC 2.1 Outlin In this sction, w prov Thorm 1.7 by constructing a Turing idal I P(ω) such that (ω, I) ADS and I contains a stabl partial ordr M = (N, M ) but dos not contain a solution to M. Th construction procds in two stps; w us a ground forcing to build M followd by an itratd forcing to add solutions to infinit linar ordrs without adding a solution to M. Rcall that for an infinit post M, A (M) is th st of lmnts which ar blow almost vry lmnt and B (M) is th st of lmnts which ar incomparabl with almost vry lmnt. In th ground forcing, w spcify A (M) and B (M) as w construct M so that A (M) B (M) = N and hnc M is stabl. W satisfy two typs of rquirmnts. First, to nsur that M cannot comput a solution to itslf it suffics to nsur that if Φ M is infinit, thn Φ M (a) = Φ M (b) = 1 for som a A (M) and b B (M). Sinc w ar dfining A (M) and B (M) as w construct M, ths ar asy to satisfy. Scond, w satisfy ground lvl rquirmnts which guarant that rquirmnts for th first lvl of th itration forcing ar appropriatly dns (in a sns dfind blow). 5

6 For th first lvl of th itration forcing, w bgin with M, A (M) and B (M) alrady dfind. W fix an indx such that Φ M is an infinit linar ordr and attmpt to add a solution f for Φ M to I so that M f dos not comput a solution to M. As abov, th stratgy is to show that if Φ M f is infinit, thn thr ar lmnts a A (M) and b B (M) such that Φ M f (a) = Φ M f (b) = 1. Howvr, sinc A (M) and B (M) ar alrady dfind, implmnting this stratgy rquirs using th fact that th ground forcing nsurd that rquirmnts for th itratd forcing ar appropriatly dns. This dnsity will man that as f is dfind, if thr ar lots of options to forc larg numbrs into Φ M f, thn thr must b numbrs from A (M) and B (M) in Φ M f. In addition to handling ths diagonalization stratgis, w nd to guarant that th rquirmnts for th nxt lvl of th itration forcing ar appropriatly dns. In th construction blow, w xplain th itration forcing first (assuming M, A (M) and B (M) hav alrady bn constructd) bcaus it allows us to introduc th dnsity notions that hav to b forcd at th ground lvl. Aftr xplaining th itration forcing, w prsnt th ground forcing to construct M, A (M) and B (M). Bfor starting th construction, w rstrict th collction of infinit linar ordrs for which w nd to add solutions to I. Dfinition 2.1. A linar ordring (N, ) is stabl-ish if thr is a non-mpty initial sgmnt V which has no maximum undr, and such that N \ V is non-mpty and has no minimum undr. Not that thr is no rquirmnt that th st V b computabl from. Lmma 2.2. If (N, ) is not stabl-ish thn thr is a solution to (N, ) computabl from. Proof. Assum (N, ) is not stabl-ish. Not that if V is a non-mpty initial sgmnt with no maximum lmnt, thn V can comput an infinit ascnding squnc. Lt a 1 V b arbitrary. Givn a n, thr must b infinitly many lmnts x V such that a n x, so simply sarch (ffctivly in V ) for such an lmnt and st a n+1 = x. If thr is a non-mpty initial sgmnt V with no maximum, obsrv that sinc is not stabl-ish, ithr N \ V =, in which cas V is computabl, or N \ V has a minimal lmnt b, in which cas V = {x x b}. In ithr cas, V is computabl from, and so thr is an infinit ascnding squnc computabl from. So suppos thr is no such V. Thn vry non-mpty initial sgmnt has a maximum lmnt. Lt V b th st of lmnts with finitly many prdcssors. V is ithr mpty or finit, sinc if V wr infinit, it would not hav a maximal lmnt. Thus N \ V is computabl from, and can hav no minimal lmnt. (Any minimal lmnt would hav only th finitly many lmnts of V as prdcssors, and would thrfor blong to V.) Thrfor, by an argumnt similar to th on abov, N \ V contains an infinit dscnding squnc computabl from. W nd this subsction by fixing som notation and convntions. If σ and δ ar finit strings, thn σ δ dnots th concatnation of σ and δ. W writ σ τ to dnot that σ is an initial sgmnt of τ (i.. τ = σ δ for som string δ). If is a linar ordr on N, σ is a 6

7 finit squnc which is ascnding in and τ is a finit squnc which is dscnding in, thn σ τ mans that σ( σ 1) τ( τ 1) (i.. th last lmnt in σ is strictly blow th last lmnt in τ in th ordr). For any computation in which part of th oracl is a finit string, for xampl Φ X σ k, w follow th standard convntion that if Φ X σ k (y) convrgs, thn both y and th us of th computation ar boundd by σ. 2.2 Itration Forcing Assum that w hav alrady usd th ground forcing to construct our stabl post (M, M ) along with A (M) and B (M). Th gnral contxt for on stp of th itration forcing will b a fixd st X and an indx mting th following conditions: M T X; X dos not comput a solution to M; Φ X is th charactristic function for a stabl-ish linar ordr X on N; and ach rquirmnt K X,A (M),B (M) is uniformly dns (dfind blow). Th ground forcing will crat this contxt for X = M. Our goal is to find a gnric solution G for X (ithr an infinit ascnding or dscnding squnc) such that X G dos not comput a solution to M and such that for ach stabl-ish linar ordr X G, th rquirmnts K X G,A (M),B (M) ar uniformly dns. W add G to th Turing idal and not that for any indx such that X G is a stabl-ish linar ordr, w hav cratd th contxt for th itration forcing to continu with X G. Bfor giving th spcifics of our forcing notion, w dscrib th basic intuition for constructing a solution G for X whil diagonalizing against computing a solution to M from X G. W work with pairs (σ, τ) whr σ is a finit ascnding squnc in X, τ is a finit dscnding squnc in X and σ X τ. W viw this pair as a simultanous attmpt to build an infinit ascnding solution and an infinit dscnding solution to X. Th goal is to construct an infinit nstd squnc of such pairs (σ k, τ k ) such that w succd ithr with G = σ = σ k or with G = τ = τ k. Suppos w hav constructd a pair (σ k, τ k ). A typical diagonalization rquirmnt is spcifid by a pair of indics m and n. To mt this rquirmnt, w nd to ithr find an ascnding squnc σ k+1 xtnding σ k such that σ k+1 X τ k and thr xists a pair of lmnts a A (M), b B (M) such that Φ X σ k+1 m (a) = Φ X σ k+1 m (b) = 1; or find a dscnding squnc τ k+1 xtnding τ k such that σ k X τ k+1 and thr xists a pair of lmnts a A (M), b B (M) such that Φ X τ k+1 n (a) = Φ X τ k+1 n (b) = 1. That is, w xtnd our approximation to an ascnding solution to X in a mannr that diagonalizs or w xtnd our approximation to a dscnding solution to X in a mannr that diagonalizs. If w can always win on th ascnding sid, thn G = σ k is an infinit 7

8 ascnding solution to X such that X G cannot comput a solution to M. Othrwis, thr is an indx m for which w cannot win on th ascnding sid. In this cas, w must win on th dscnding sid for vry indx n (whn it is paird with m) and hnc G = τ k is an appropriat infinit dscnding solution to X. In gnral, thr is no rason to think w can mt ths rquirmnts without som additional information about X. It is th fact that ach rquirmnt K X,A (M),B (M) is uniformly dns which allows us to mt ths rquirmnts. W first focus on formalizing ths diagonalization rquirmnts in a gnral contxt and thn w show why this gnral contxt also forcs th rquirmnts K X G,A (M),B (M) to b uniformly dns at th nxt lvl. W bgin by dfining th following sts, ach computabl from X. A X = {σ σ is a finit ascnding squnc in X } D X = {τ τ is a finit dscnding squnc in X } P X = {(σ, τ) σ A X τ D X σ X τ} P X is our st of forcing conditions. For p P X, w lt σ p and τ p dnot th first and scond componnts of p. For p, q P X, w say q p if σ p σ q and τ p τ q. To dfin th gnric G, w construct a squnc p 0 p 1 p 2 of conditions p n = (σ n, τ n ) P X. At th (n + 1)st stp, w dfin p n+1 p n to mt th highst priority rquirmnt K X,A (M),B (M) which is not yt satisfid. Mting this rquirmnt will mak progrss ithr towards making σ = n σ n our dsird infinit ascnding solution to X or towards making τ = n τ n our dsird infinit dscnding solution to X. In th nd, w show that on of G = σ or G = τ satisfis all th rquirmnts. Bfor dfining th rquirmnts, thr is on obvious worry w nd to addrss. During this procss, w nd to avoid taking a stp which liminats ithr sid from bing xtndibl to a solution of X. Bcaus X is stabl-ish, w fix a st V for X as in Dfinition 2.1. W dfin V X = {(σ, τ) P X σ V τ N \ V }. For (σ, τ) V X, σ is an initial sgmnt of an incrasing solution to X and τ is an initial sgmnt of a dcrasing solution to X. Thrfor, as long as w choos our gnric squnc to li within V X, w will nvr limit ithr sid from bing xtndibl to a solution to X. Howvr, working strictly in V X has th disadvantag that V X is not computabl from X. W rconcil th advantags of working in P X (which is computabl from X) with working in by using split pairs. V X Dfinition 2.3. A split pair blow p = (σ p, τ p ) is a pair of conditions q 0 = (σ p σ, τ p ) and q 1 = (σ p, τ p τ ) such that σ X τ. Lmma 2.4. If p V X and q 0, q 1 is a split pair blow p thn ithr q 0 V X or q 1 V X. Proof. Lt q 0 = (σ p σ, τ p ) and q 1 = (σ p, τ p τ ). Suppos q 0 V. Sinc σ p σ X τ p, it must b that σ ovrflows from V into N \ V. Thrfor, sinc σ X τ, q 1 V. W will us Lmma 2.4 as follows. Each rquirmnt K X,A (M),B (M) will hav th proprty that whn w nd to mt K X,A (M),B (M) blow an lmnt p n in our gnric squnc, thr 8

9 will b a split pair q 0, q 1 (from P X ) blow p n in K X,A (M),B (M). Thrfor, if p n V X by induction, thn w can mt K X,A (M),B (M) within V X by choosing p n+1 to b whichvr of q 0 and q 1 is in V X. Thus, by starting with th mpty squnc p 0 (which is in V X ), w can assum that our gnric squnc is chosn in V X. W hav two typs of rquirmnts: half rquirmnts and full rquirmnts. For uniformity of prsntation, it is asist to dal with a gnral dfinition for th full rquirmnts, although in th nd, th only full rquirmnts w nd to mt ar thos mad up of a pair of half rquirmnts. Dfinition 2.5. W dfin th following typs of rquirmnts and half-rquirmnts. A rquirmnt is a downward closd st K X,A (M),B (M) P X K X,A (M),B (M) = {p P X for som rlation K X (x, y, z) computabl in X. such that a A (M) b B (M) (K X (p, a, b))} which is closd undr xtn- An A-sid half rquirmnt is a st R X,A (M),B (M) A X sions such that R X,A (M),B (M) = {σ A X for som rlation R X (x, y, z) computabl in X. A D-sid half rquirmnt is a st S X,A (M),B (M) D X such that S X,A (M),B (M) = {τ D X for som rlation S X (x, y, z) computabl in X. a A (M) b B (M) (R X (σ, a, b))} which is closd undr xtnsions a A (M) b B (M) (S X (τ, a, b))} If R X,A (M),B (M) is an A-sid half rquirmnt and S X,A (M),B (M) is a D-sid half rquirmnt, thn J X,A (M),B (M) R,S is th rquirmnt J X,A (M),B (M) R,S = {p P X σ p R X,A (M),B (M) τ p S X,A (M),B (M) }. W say R X,A (M),B (M) is a half rquirmnt to man that it is ithr an A-sid or a D-sid half rquirmnt. Each rquirmnt and half rquirmnt is c.. in X A (M) B (M) and th dpndnc on A (M) and B (M) is positiv. Exampl 2.6. Fix a pair of indics m and n. Th formal vrsion of our basic diagonalization stratgy is givn by th following half rquirmnts: A X,A (M),B (M) m = {σ A X a A (M) b B (M) (Φ X σ m n = {τ D X a A (M) b B (M) (Φ X τ n D X,A (M),B (M) Ths half rquirmnts combin to form th rquirmnt J X,A (M),B (M) A m,d n = { p P X σ p A X,A (M),B (M) m Notic that if σ A X,A (M),B (M) m τ D X,A (M),B (M) n and τ G, thn Φ X G and σ G, thn Φ X G m n is not a solution to M. 9 (a) = Φ X σ m (b) = 1)}, (a) = Φ X τ n (b) = 1)}. } τ p D X,A (M),B (M) n. is not a solution to M. Similarly, if

10 W nxt dscrib whn an A-sid half rquirmnt R X,A (M),B (M) is satisfid by an infinit ascnding squnc Λ in X. (With th obvious changs, this dscription applis to a D-sid half rquirmnt S X,A (M),B (M) and an infinit dscnding squnc Λ.) R X,A (M),B (M) is spcifid by an indx i such that R X,A (M),B (M) = {σ A X a A (M) b B (M) (Φ X i (σ, a, b) = 1)} whr Φ X i is total. For any (typically finit) sts A and B (givn by canonical indics), w lt R X,A,B = {σ A X a A b B (Φ X i (σ, a, b) = 1)}. Unlik R X,A (M),B (M), th st R X,A,B is not ncssarily closd undr xtnsions. Howvr, for any finit sts A and B, w hav R X,A,B T X. W writ R X to indicat th opration mapping A, B to R X,A,B. Dfinition 2.7. R X is ssntial in Λ if for vry n and vry x, thr is a finit st A > x such that for vry y, thr is a finit st B > y and an m > n so that Λ m R X,A,B. W say th infinit ascnding squnc Λ satisfis R X,A (M),B (M) if ithr R X is not ssntial in Λ, or thr is an n such that Λ n R X,A (M),B (M). Exampl 2.8. Considr th A-sid diagonalization half rquirmnt A X,A (M),B (M) m = {σ A X a A (M) b B (M) (Φ X σ m (a) = Φ X σ m (b) = 1)} and an infinit ascnding squnc Λ in X. infinit. Thrfor, A X,A (M),B (M) m xists a A (M) and b B (M) such that Φ X Λ m solution to X such that Φm X Λ is not a solution to M. A X m is ssntial in Λ if and only if Φ X Λ m is is finit or thr is satisfid by Λ if and only if ithr Φ X Λ m (a) = Φ X Λ m (b) = 1. In ithr cas, Λ is a This xampl dos not xplain why w nd th quantifir altrnations in Dfinition 2.7. This quantifir altrnation will b rflctd in a similar dfinition for full rquirmnts and th rason for it will bcom clar in th ground forcing. W nd similar notions in th contxt of our (full) rquirmnts. Each rquirmnt K X,A (M),B (M) is spcifid by an indx i such that K X,A (M),B (M) = {p P X a A (M) b B (M) (Φ X i (p, a, b) = 1)} whr Φ X i is total. For any (typically finit) sts A and B, w lt K X,A,B = {p P X a A b B (Φ X i (p, a, b) = 1)}. As abov, th st K X,A,B nd not b downward closd in P X, but is computabl from X whn A and B ar finit. 10

11 Dfinition 2.9. K X is ssntial blow p P X if for vry x, thr is a finit st A > x such that for vry y, thr is a finit st B > y and a split pair q 0, q 1 blow p such that q 0, q 1 K X,A,B. K X,A (M),B (M) is uniformly dns if whnvr K X is ssntial blow p, thr is a split pair q 0, q 1 blow p blonging to K X,A (M),B (M). Exampl Lt J X,A (M),B (M) A m,d n b th rquirmnt from Exampl 2.6 and fix a condition p = (σ p, τ p ). Lt q 0 = (σp σ, τ p ) and q 1 = (σ p, τp τ) b a split pair blow p. For finit sts A and B, q 0 J X,A,B A m,d n if a A b B ( Φ X σ p σ m (a) = Φ X σ p σ m (b) = 1 Φ X τp n (a) = Φn X τp (b) = 1 ). For A > τ p, th scond disjunct cannot occur by our us convntion, and hnc q 0 J X,A,B A m,d n a A b B ( Φ X σ p σ m (a) = Φ X σ p σ m (b) = 1 ). Similarly, if B > σ p, thn q 1 J X,A,B A m,d n a A b B ( Φ X τ p τ n (a) = Φ X τ p τ n (b) = 1 ). Thus th dfinition of JA X m,d n bing ssntial blow p formalizs a notion of having lots of options to forc larg numbrs into a potntial solution to M. Informally, th dfinition of J X,A (M),B (M) A m,d n bing uniformly dns says that whnvr thr ar lots of options to forc larg numbrs into a potntial solution to M, thn thr is an xtnsion which forcs numbrs from both A (M) and B (M) into th potntial solution. Dfinition W say an infinit squnc p 0 > p 1 > of conditions satisfis K X,A (M),B (M) if ithr thr ar cofinitly many p i such that K X is not ssntial blow p i, or thr is som p n K X,A (M),B (M). W hav now mad all th inductiv hypothss on X prcis and can giv th formal construction of our gnric squnc of conditions. Lt K X,A (M),B (M) n, for n ω, b a list of all rquirmnts. (As w will s blow, it suffics for this list to consist of all rquirmnts formd from pairs of half rquirmnts.) Lmma Thr is a squnc of conditions p 0 > p 1 > from V X K X,A (M),B (M) n. which satisfis vry Proof. Lt p 0 = (σ 0, τ 0 ) whr both σ 0 and τ 0 ar th mpty squnc and not that p 0 V X. Givn p n, lt m b th last indx such that Km X is ssntial blow p n and for all i n, p i K X,A (M),B (M) m. By assumption K X,A (M),B (M) m is uniformly dns, so w may apply Lmma 2.4 to obtain p n+1 p n such that p n+1 K X,A (M),B (M) m and p n+1 V X. 11

12 It rmains to show that for ithr G = σ = σ n or G = τ = τ n, G satisfis th ncssary inductiv conditions: X G dos not comput a solution to M and all rquirmnts K X G,A (M),B (M) ar uniformly dns. W do this in two stps. First w xplain th connction btwn satisfying half rquirmnts and satisfying full rquirmnts. Scond, w show that th satisfaction of th appropriat half rquirmnts forcs ths conditions for X G. Lmma Lt R X,A (M),B (M) and S X,A (M),B (M) b half-rquirmnts and p 0 > p 1 > b an infinit squnc of conditions with p n = (σ n, τ n ). Lt σ = i σ i, τ = i τ i. If R X is ssntial in σ and S X is ssntial in τ, thn J X R,S is ssntial blow vry p n. Proof. Fix p n. To show JR,S X is ssntial blow vry p n, fix x. Lt A 0 > x witnss that R X is ssntial in σ and lt A 1 > x witnss that S X is ssntial in τ. A 0 A 1 will b our witnss that JR,S X is ssntial blow p n. Fix y. Lt B 0 > y witnss that R X is ssntial in σ and lt B 1 > y witnss that S X is ssntial in τ. B 0 B 1 will b our witnss that JR,S X is ssntial blow p n. Fix m 0 > n such that σ m0 R X,A 0,B 0 and fix m 1 > n such that τ m1 S X,A 1,B 1. Bcaus th dpndnc on A 0, A 1, B 0 and B 1 in ths sts is positiv, it follows that σ m0 R X,A 0 A 1,B 0 B 1 and τ m1 S X,A 0 A 1,B 0 B 1. Thus th conditions (σ m0, τ n ) and (σ n, τ m1 ) ar in J X,A 0 A 1,B 0 B 1 R,S and form a split pair blow p n. Putting ths pics togthr, w obtain th following: Lmma Suppos that for ach pair of half-rquirmnts R X,A (M),B (M) and S X,A (M),B (M), th rquirmnt J X,A (M),B (M) R,S is uniformly dns. Thn thr is an infinit squnc (σ 0, τ 0 ) > (σ 1, τ 1 ) > of conditions such that, stting σ = i σ i and τ = i τ i, ithr σ satisfis vry A-sid half-rquirmnt or τ satisfis vry D-sid half-rquirmnt. Proof. Lt p 0 > p 1 > b chosn as in Lmma Sinc ach J X,A (M),B (M) R,S is uniformly dns, this squnc satisfis vry rquirmnt J X,A (M),B (M) R,S. If σ satisfis vry halfrquirmnt, w ar don. So suppos thr is som R X,A (M),B (M) not satisfid by σ, and not that R X must b ssntial in σ. W show that τ satisfis vry S X,A (M),B (M). Fix S X,A (M),B (M) and assum that S X is ssntial in τ (othrwis this half rquirmnt is trivially satisfid). By Lmma 2.13, JR,S X is ssntial for vry (σ n, τ n ), and sinc th squnc of conditions satisfis J X,A (M),B (M) R,S, thr must b som condition (σ n, τ n ) J X,A (M),B (M) R,S. W cannot hav σ n R X,A (M),B (M), sinc thn σ would satisfy R X,A (M),B (M), so τ n S X,A (M),B (M). W st G = σ if σ satisfis all th A-sid half rquirmnts and w st G = τ othrwis. By Lmma 2.14, G satisfis vry half rquirmnt (on th appropriat sid). It rmains to show that X G dos not comput a solution to M and that ach rquirmnt K X G,A (M),B (M) is uniformly dns. W work undr th hypothsis that G = σ and hnc rstrict our attntion to A-sid half rquirmnts. Th sam argumnts, with th obvious changs, giv th corrsponding rsults if G = τ working with D-sid half rquirmnts. Lmma If G satisfis vry A X,A (M),B (M) m comput a solution to M. half rquirmnt, thn X G dos not 12

13 Proof. Fix an indx m. If Φm X G is finit, thn w ar don. So, suppos Φ X G m is infinit. W claim that A X m is ssntial in G. To prov this claim, fix n and x. Lt a 0 > x b such that Φ X G m (a 0 ) = 1 and st A = {a 0 }. Fix y, lt b 0 > y b such that Φ X G m (b 0 ) = 1 and st B = {b 0 }. St n > n b gratr than th us of ithr of ths computations. By dfinition, G n A X,A,B m and hnc A X m is ssntial in G. Sinc G satisfis A X,A (M),B (M) m, thr must b an n such that G n A X,A (M),B (M) m. Thrfor, for som a A (M) and b B (M), w hav Φ X G m (a) = Φ X G m (b) = 1, complting th proof. Finally, w show that for vry indx such that X G is a stabl-ish linar ordr, ach rquirmnt K X G,A (M),B (M) P X G is uniformly dns. Rcall that K X G,A (M),B (M) is spcifid by an indx i such that K X G,A (M),B (M) = {p P X G a A (M) b B (M) (Φ X G i (p, a, b) = 1)} whr Φ X G i is total. As w construct G, w do not know which indics will rsult in X G bing a stabl-ish linar ordr and, for ach such indx, which indics i will corrspond to rquirmnts K X G,A (M),B (M) P X G. Thrfor, w dfin th following A-sid half rquirmnts for vry pair of indics and i. (Of cours, w also dfin th corrsponding D-sid half rquirmnts and all proofs that follow work qually wll on th D-sid.) Dfinition Fix σ A X and an indx. For a pair of finit strings q = (σ q, τ q ), w say q P X σ if for all i < j < σ q, σ q (i) X σ σ q (j), for all i < j < τ q, τ q (j) X σ τ q (i) and σ p ( σ p 1) X σ τ p ( τ p 1). W say σ forcs q P X G if ithr thr ar i < j < σ q such that σ q (j) X σ σ q (i) or thr ar i < j < τ q such that τ q (i) X σ τ q (j) or τ p ( τ p 1) X σ σ p ( σ p 1). Not that this dfinition dos not match th usual mthod for forcing th ngation of a statmnt. By th us convntion, P X σ is finit and w can X-computably quantify ovr this finit st. Furthrmor, w can X-computably dtrmin whthr σ forcs q P X G. Dfinition For ach pair of indics and i and ach q = (σ q, τ q ), w dfin th A- sid half rquirmnt T X,A (M),B (M),i,q to b th st of all σ A X such that ithr σ forcs q P X G or thr xist strings σ and τ such that q 0 = (σq σ, τ q ) and q 1 = (σ q, τq τ ) satisfy q 0, q 1 P X σ and a 0, a 1 A (M) b 0, b 1 B (M) (Φ X σ i (q 0, a 0, b 0 ) = Φ X σ i (q 1, a 1, b 1 ) = 1) (i.. σ forcs th xistnc of a split pair blow q which lis in K X,A (M),B (M) ). Lt G b th gnric constructd by our itratd forcing as in Lmma 2.14 and assum G = σ. Thus, G satisfis vry A-sid half rquirmnt T X,A (M),B (M),i,q. Fix an indx such that X G is a stabl-ish linar ordr and fix an indx i spcifying a rquirmnt K X G,A (M),B (M) = {q P X G a A (M) b B (M) (Φ X G i (q, a, b) = 1)} Th following lmma (and its D-sid countrpart) complt our vrification of th proprtis of th itration forcing. 13

14 Lmma If G satisfis T X,A (M),B (M),i,q dns in P X G. for vry q, thn K X G,A (M),B (M) is uniformly Proof. Fix q P X G and assum that K X G is ssntial blow q. W claim that T X,i,q is ssntial in G. Bfor proving th claim, notic that this claim suffics to prov th lmma. Sinc G satisfis T X,A (M),B (M),i,q and T X,i,q is ssntial in G, thr is an n such that G n T X,A (M),B (M),i,q. By th dfinition of T X,A (M),B (M),i,q, sinc q P X G, thr must b a split pair q 0, q 1 P X G n blow q and a 0, a 1 A (M) and b 0, b 1 B (M) such that Φ X G n i (q 0, a 0, b 0 ) = Φ X G n i (q 1, a 1, b 1 ) = 1. Thus q 0, q 1 giv th dsird split pair blow q in K X G,A (M),B (M). It rmains to prov th claim that T X,i,q is ssntial in G. Fix n and x. Fix A > x witnssing that K X G is ssntial blow q. Fix y and lt B > y and th split pair q 0, q 1 blow q b such that q 0, q 1 K X G,A,B. Thus, a 0, a 1 A b 0, b 1 B (Φ X G i (q 0, a 0, b 0 ) = Φ X G i (q 1, a 1, b 1 ) = 1). Lt m > n b such that m is gratr than th uss of ths computations and such that q, q 0, q 1 P X G m. Thn w hav G m T X,A,B,i,q as rquird. 2.3 Ground Forcing In this sction, w dfin th ground forcing to build (M, A (M), B (M)) such that M dos not comput a solution to itslf (i.. it dos not comput an infinit subst of A (M) or B (M)) and ach rquirmnt K M,A (M),B (M) is uniformly dns. Our ground forcing conditions F ar tripls (F, A, B ) satisfying F is a finit partial ordr such that dom(f ) is an initial sgmnt of ω and for all x, y dom(f ), x F y implis x < y, and A B dom(f ), A is downwards closd undr F, B is upwards closd undr F and A B =. W say (F, A, B ) (F 0, A 0, B 0) if: F xtnds F 0 as a partial ordr (i.. dom(f 0 ) dom(f ) and for all x, y dom(f 0 ), x F0 y if and only if x F y), A 0 A, B 0 B, whnvr a A 0 and x dom(f ) \ dom(f 0 ), a F x, whnvr b B 0 and x dom(f ) \ dom(f 0 ), b F x (which implis x is incomparabl with b sinc b < x and hnc x F b). 14

15 In what follows, w will typically writ x M rathr than x dom(m). W dfin a gnric squnc of conditions (F 0, A 0, B 0) > (F 1, A 1, B 1) > and lt M = F n. W nd to satisfy th following proprtis: (C1) For all i, thr is an n such that i A n B n. (Togthr with th dfinitions of our conditions and xtnsions of conditions, this proprty guarants that A (M) = A n and B (M) = B n and that M is stabl.) (C2) For all, if Φ M is infinit, thn thr ar a A (M) and b B (M) such that Φ M (a) = Φ M (b) = 1. (C3) If M is a stabl-ish linar ordr and K M,A (M),B (M) P M is a rquirmnt (as dfind in th prvious sction), thn for all p P M, ithr K M is not ssntial blow p or thr is a split pair q 0, q 1 blow p in K M,A (M),B (M). Th nxt thr lmmas show that th appropriat st of conditions forcing ths proprtis ar dns. For (C1), w us th following lmma. Lmma Th st of (F, A, B ) such that i A B is dns in F. Proof. Fix (F, A, B ) and i ω. Without loss of gnrality, w assum i F. If i A, thn i F a for all a A by th downwards closur of A. Lt F 0 = F, A 0 = A and B0 = B {c F i F c}. Thn i B0 and (F 0, A 0, B0) xtnds (F, A, B ). For (C2), w us th following standard forcing dfinitions (with G dnoting th gnric variabl). W say F Φ G is finit if k (F 0, A 0, B0) (F, A, B ) x (Φ F 0 (x) = 1 x k). W say F Φ G A (G) Φ G B (G) if a A b B (Φ F (a) = 1 Φ F (b) = 1). Lmma For ach indx, th st of conditions which ithr forc Φ G Φ G A (G) Φ G B (G) is dns in F. is finit or forc Proof. Fix and (F, A, B ) and assum that (F, A, B ) has no xtnsion forcing Φ G is finit. Fix x > F and an xtnsion (F 0, A 0, B0) (F, A, B ) such that Φ F 0 (x) = 1. Without loss of gnrality, w can assum that A 0 = A and B0 = B, so x A 0 B0. By th dfinition of xtnsions, w know b F0 x for all b B0. Thrfor, th condition (F 1, A 1, B1) dfind by F 1 = F 0, A 1 = A 0 {c F 0 c F0 x} and B1 = B0 is an xtnsion of (F, A, B ) such that x A 1 and Φ F 1 (a) = 1. Sinc (F 1, A 1, B1) dos not forc Φ G is finit, w can rpat this ida. Fix y > F 0 and an xtnsion (F 2, A 2, B2) (F 1, A 1, B1) such that Φ F 2 (y) = 0. Again, without loss of gnrality, w can assum that A 2 = A 1 and B2 = B1, and hnc that y F2 a for any a A 2. Th condition (F 3, A 3, B3) dfind by F 3 = F 2, A 3 = A 2 and B3 = B2 {c F 2 y F2 c} is an xtnsion of (F, A, B ) forcing Φ G A (G) Φ G B (G). 15

16 W turn to (C3). Fix an indx for a potntial stabl-ish linar ordr G. For p = (σ, τ), w say (F, A, B ) p P G if σ is a F ascnding squnc, τ is a F dscnding squnc and σ F τ. W say (F, A, B ) p P G if no xtnsion of (F, A, B ) forcs p P G. Obviously, th st of conditions which ithr forc p P G or forc p P G is dns. Along with th indx, fix an indx i for a potntial rquirmnt K G,A (G),B (G) P G. That is, w want to considr th potntial rquirmnt {q P G a A (G) b B (G) (Φ G i (q, a, b) = 1)}. Suppos (F, A, B ) p P G for p = (σ, τ). W say (F, A, B ) thr is a split pair q 0, q 1 blow p in K G,A (G),B (G) if thr ar σ and τ such that for q 0 = (σ σ, τ) and q 1 = (σ, τ τ ) w hav (F, A, B ) q 0, q 1 P G σ σ F τ τ and a 0, a 1 A b 0, b 1 B (Φ F i (q 0, a 0, b 0 ) = Φ F i (q 1, a 1, b 1 ) = 1). Finally, w say that (F, A, B ) K G is not ssntial blow p if for any stabl partial ordr ( M, A ( M), B ( M)) with dom( M) = ω xtnding (F, A, B ) such that x M y implis that x < y, M is a stabl-ish partial ordr and K M,A ( M),B ( M) is a rquirmnt, w hav that K M is not ssntial blow p. Lmma Fix a pair of indics and i and lt K G,A (G),B (G) b th potntial rquirmnt spcifid by ths indics. For any p, thr is a dns st of (F, A, B ) such that ithr: (F, A, B ) p P G, or (F, A, B ) K G is not ssntial blow p, or (F, A, B ) thr is a split pair blow p in K G,A (G),B (G). Proof. Fix (F, A, B ) and p = (σ, τ). If thr is any (F, A, B ) (F, A, B ) forcing that p P G thn w ar don. So assum not, and assum that (F, A, B ) p P G. Suppos thr is an xtnsion (F, A, B ) (F, A, B ), sts B 0 > A 0 > A B and a split pair q 0, q 1 blow p such that (F, A, B ) q 0, q 1 K F,A 0,B 0. Lt A b th downwards closur of A 0 in F and B th upwards closur of B 0 in F. W claim that A is disjoint from B B. Fix x A and a A 0 such that x F a. First, suppos for a contradiction that x B and hnc x F. If a F, thn x F a and hnc a B bcaus B is closd upwards in F. But, a A 0 and A 0 > B giving a contradiction. If a F, thn a F \F, so x F a sinc x B and (F, A, B ) (F, A, B ), again giving a contradiction. Thrfor, x B. Scond, suppos for a contradiction that x B. Thn 16

17 y F x for som y B 0 and hnc y F a. Thrfor, y a which contradicts B 0 > A 0. Thrfor, A is disjoint from B B. W also claim that A is disjoint from B B. Fix x A and not that x B sinc (F, A, B ) is a condition and hnc A B =. Suppos for a contradiction that x B. Thr is a y B 0 such that y F x and hnc y x, which contradicts B 0 > A. Thrfor, A is disjoint from B B. Takn togthr, our claims show that A A is disjoint from B B. Sinc A A is downwards closd and B B is upwards closd, (F, A A, B B) (F, A, B ) is a condition forcing th xistnc of a split pair blow p in K G,A (G),B (G). If thr is no such (F, A, B ) (F, A, B ), w claim (F, A, B ) alrady forcs that K G is not ssntial blow p: lt M b any compltion of F to a stabl partial ordring satisfying th appropriat conditions from abov, and suppos K M wr ssntial blow p. Thn in particular, thr would b som A 0 > max(a B ), som B 0 > max A 0, and a split pair q 0, q 1 ovr p such that q 0, q 1 K M,A 0,B 0. But thn thr would hav bn som finit rstriction F = M [0, m] witnssing this, contradicting our assumption. Having vrifid that any gnric for th ground forcing satisfis (C1), (C2) and (C3), w can giv th proof of Thorm 1.7. Proof. W itrativly build a Turing idal I containing a partial ordr M, containing a solution to vry infinit linar ordr in I, but not containing any solution to M. Lt M b a partial ordring gnric for th ground forcing. M is stabl by (C1), M dos not comput a solution to itslf by (C2) and for ach stabl-ish linar ordr M, ach rquirmnt K M,A (M),B (M) P M is uniformly dns by (C3). Thus, w hav stablishd th initial conditions for th itratd forcing with X = M. For a fixd indx such that M is a stabl-ish linar ordr, lt G b a gnric solution to M obtaind from th itration forcing. By Lmmas 2.14, 2.15 and 2.18, M G dos not comput a solution to M and for vry stabl-ish linar ordr M G, ach rquirmnt K M G,A (M),B (M) P M G is uniformly dns. Itrating this procss (and choosing stabl-ish partial ordrs systmatically to nsur that w vntually considr ach on) givs an idal I with th proprty that whnvr is a linar ordr in I, ithr is stabl-ish, and thrfor w addd a solution to I at som stag, or is not stabl-ish, and so a solution is computabl from, and thrfor blongs to I. W hav nsurd that M I but that no solution to M blongs to I. Thrfor (ω, I) is a modl of RCA 0 + ADS, but is not a modl of SCAC. 3 EM background In this sction, w prsnt proofs of Thorms 1.9 and 1.10, which ar rstatd blow for convninc. W bgin with som basic proprtis of infinit transitiv tournamnts and thir transitiv substs. W rgard vry tournamnt T (including finit subtournamnts) as containing lmnts and with th proprty that T (, x) and T (x, ) hold for vry x T. If T is a transitiv tournamnt, thn th T rlation dfins a linar ordr on th domain of T with as th last lmnt and as th gratst lmnt. W will dnot 17

18 this ordr by T, or by F if F is a finit transitiv subst of som ambint (nontransitiv) tournamnt T. Dfinition 3.1. Lt T b an infinit tournamnt and lt a, b T b such that T (a, b) holds. Th intrval (a, b) is th st of all x T such that both T (a, x) and T (x, b) hold. That is, (a, b) is th st of points btwn a and b in T. Dfinition 3.2. Lt F T b a finit transitiv subst of an infinit tournamnt T. For a, b F such that T (a, b) holds (i.. a F b), w say (a, b) is a minimal intrval of F if thr is no c F such that T (a, c) and T (c, b) both hold (i.. b is th succssor of a in F ). In th contxt of Dfinition 3.2, (a, b) is an intrval in T wll as in F. Howvr, th fact that (a, b) is a minimal intrval of F is a proprty of this intrval in F. Dfinition 3.3. Lt T b an infinit tournamnt and F T b a finit transitiv st. F is xtndabl if F is a subst of som solution to T. A on point transitiv xtnsion of F is a transitiv st F {a} such that a F. Lmma 3.4. Lt T b an infinit transitiv tournamnt and F T b a finit transitiv st. F is xtndabl if and only if F has infinitly many on point transitiv xtnsions. Proof. If F is xtndabl, thn it clarly has infinitly many on point xtnsions. Convrsly, suppos F has infinitly many on point xtnsions. Lt T b th st of all a T \ F such that F {a} is transitiv. Sinc F is transitiv, w can list F in F ordr as < F x 0 < F x 1 < F < F x k < F Bcaus T is infinit and thr ar finitly many minimal intrvals in F, thr must b a minimal intrval (a, b) of F such that (a, b) T is infinit. (Not that a could b, if thr ar infinitly many lmnts a T such that T (a, x 0 ) holds. Similarly, b could b.) Fix such a minimal intrval (a, b) in F and lt T = T (a, b). T is an infinit subtournamnt of T and hnc (viwing T as an infinit tournamnt), T contains an infinit transitiv tournamnt T. Sinc T is containd in a minimal intrval of F, T F is transitiv, and hnc is a solution to T containing F. Lmma 3.5. Lt T b an infinit tournamnt. containing a. For any a T, thr is a solution to T Proof. Fix a T and lt F = {a}. For all b T, {a, b} is a transitiv, so F has infinitly many on point transitiv xtnsions. By Lmma 3.4, F is xtndabl. Lmma 3.6. Lt T b an infinit transitiv tournamnt and lt F T b a finit transitiv xtndibl st. Cofinitly many of th on point transitiv xtnsions of F ar xtndabl. Proof. Suppos for a contradiction that thr ar infinitly many x T \ F such that F {x} is transitiv but not xtndabl. Lt T b th st of all such x. As in th proof of Lmma 3.4, thr must b a minimal intrval (a, b) of F such that T (a, b) is infinit. Fix such an intrval (a, b) and lt T = T (a, b). T is an infinit subtournamnt of T, so thr is an infinit transitiv st T T. F T is a solution to T containing F as wll as infinitly many point from T giving th dsird contradiction. 18

19 Thorm 3.7 (Kach, Lrman, Solomon and Wbr). Thr is a computabl infinit tournamnt T with no infinit Σ 0 2 transitiv subtournamnts. Proof. Sinc vry infinit Σ 0 2 st contains an infinit 0 2 subst, it suffics to construct an infinit computabl tournamnt T with no infinit 0 2 transitiv subtournamnts. W build T in stags to mt th following rquirmnts. R : If D (x) = lim s ϕ (x, s) xists for vry x, thn D is finit or D is not transitiv. As stag s, w dtrmin whthr T (x, s) or T (s, x) holds for ach x < s by acting in substags < s. At substag, R chooss th last lmnts x 0 < x 1 < < x 2+1 (lss than s) that ϕ currntly claims ar in D. (If thr ar not many such lmnts, thn w procd to th nxt substag.) Lt x i and x j b th last from this st which hav not bn chosn as witnsss by a highr priority rquirmnt at this stag and assum that T (x i, x j ) holds. Dclar that T (s, x i ) and T (x j, s) hold so that {x i, x j, s} is not transitiv. Procd to th nxt substag. Whn all substags ar complt, dclar T (x, s) for any x < s for which w hav not dclard ithr T (x, s) or T (s, x). This nds stag s. It is clar that this procss dfins a computabl infinit tournamnt T. To s that R is mt, assum that D (x) is dfind for all x. Lt x 0 < x 1 < < x 2+1 b last such that D (x i ) = 1 and lt s b such that ϕ claims that ach x i is in D for all t s. For vry t s, R chooss a pair of lmnt from {x 0,..., x 2+1 } to mak a cycl with t. Thrfor, {x 0,..., x 2+1 } has only finitly many on point transitiv xtnsions and hnc is not a subst of any infinit transitiv subtournamnt. Thorm 3.8 (Dzhafarov, Kach, Lrman and Solomon). Thr is a computabl infinit tournamnt T with no infinit hyprimmun-fr transitiv subtournamnts. Proof. W build T in stags to mt, for ach, th rquirmnt R that if {D ϕ(x) x N} is a strong array, thn thr ar x 0 < x 1 such that for all y 0 D ϕ(x0 ) and all y 1 D ϕ(x1 ), th st {y 0, y 1 } is not xtndibl. Th stratgy to mt an individual rquirmnt R in isolation is straightforward. W wait for ϕ (x 0 ) to convrg for som x 0, and start dfining T (y, s) for all y D ϕ(x0 ) and all s. If {D ϕ : ω} is a strong array, w must vntually find an x 1 such that ϕ (x 1 ) convrgs with T (y 0, y 1 ) for all y 0 D ϕ(x0 ) and all y 1 D ϕ(x1 ). W thn start dfining T (s, y) for all y D ϕ(x0 ) and all s, and T (y, s) for all y D ϕ(x1 ) and all s. Thus nsurs that R is mt. Sorting out compting rquirmnts can b handld via a standard finit injury priority argumnt, as w now show. At stag s, w dfin T (x, s) or T (s, x) for all x < s. W procd by substags s. At substag, w act as follows, braking into thr cass. Cas 1: R has no witnsss. Lt x 0 b th last x < s, if it xists, such that (1) ϕ,s (x) ; (2) D ϕ(x) and ach lmnt of D ϕ(x) is < s; (3) for all i < and any witnss y of R i, x > y and D ϕ(x) is disjoint from D ϕi (y). 19

20 If thr is no such x 0, thn do nothing and procd to th nxt substag. If thr is such an x 0, thn call x 0 th first witnss of R, dfin T (y, s) for all y D ϕ(x 0 ), cancl th witnsss of ach R i with i > and procd to th nxt substag. Cas 2: R has xactly on witnss. Call this first witnss x 0. Lt x 1 b th last x < s, if it xists, that satisfis conditions (1) (3) abov, as wll as (4) T (y 0, y 1 ) for all y 0 D ϕ(x 0 ) and all y 1 D ϕ(x). If thr is no such x 1, th dfin T (y, s) for all y D ϕ(x 0 ) and procd to th nxt substag. If thr is such a witnss x 1, thn call x 1 th scond witnss of R, dfin T (s, y) for all y D ϕ(x 0 ) and T (y, s) for all y D ϕ(x 1 ), cancl th witnsss of ach R i with i > and procd to th nxt substag. Cas 3: R has two witnsss. Lt x 0 b th first witnss and x 1 b th scond witnss. Dfin T (s, y) for all y D ϕ(x 0 ) and T (y, s) for all y D ϕ(x 1 ). Procd to th nxt substag. Whn all substags < s ar complt, dfin T (x, s) for any x < s for which nithr T (x, s) nor T (s, x) has bn dfind. This complts th dscription for th construction. It is clar that T is a computabl tournamnt on N. To vrify that rquirmnt R is mt, suppos {D ϕ(x) : x N} is a strong array. By induction, support furthr that ach R i, i <, is satisfid. Sinc ach rquirmnt R i has at most two witnsss at any stag, and sinc it can los ths witnsss only for th sak of som R i, i < i, bing assignd a witnss, w lt s b th last stag such that no R i, i <, is assignd a witnss at any stag s s. By minimality of s, it must b that R has no witnsss at stag s. Sinc {D ϕ(x) : x N} is a strong array, w lt s 0 s b th last stag such that som x < s 0 satisfis conditions (1) (3) of th construction. Thn th last such x is assignd as a first witnss x 0 of R, and this witnss is nvr canclld. If, at any latr stag s 1 > s 0, w assign a scond witnss x 1 for R, thn R will b satisfid. (Bcaus x 1 will nvr b cancld, w hav T (y 0, y 1 ), T (s, y 0 ) and T (y 1, s) for all s > s 1, all y 0 D ϕ(x 0 ) and all y 1 D ϕ(x 1 ). Thrfor, {y 0, y 1 } is not xtndibl.) So suppos w nvr find a scond witnss x 1. Thn by construction, w dfin T (y, s) for all s s 0 and all y D ϕ(x 0 ). But if s is larg nough that for som x < s, ϕ,s (x) and all lmnts of D ϕ(x) li btwn s 0 and s, thn x will satisfy conditions (1) (4) of th construction. Th last such x is assignd as a scond witnss x 1 of R for th dsird contradiction. 4 EM dos not imply SRT 2 2 Bfor giving th proof of Thorm 1.15 in a styl similar to th proof of Thorm 1.7, w prsnt som motivating idas for th forcing construction. Fix an indx. W sktch a stratgy to mt a singl diagonalization rquirmnt towards constructing a stabl coloring c such that if Φ c is th charactristic function for an infinit tournamnt T c givn by such that c S dos not comput a solution to Φ c, thn thr is a solution S to T c c. A singl diagonalization rquirmnts has th form R i : Φ c S i is not a solution to c. 20

21 To approximat c w us a tripls (c, A, B ) (calld partial stabl colorings) such that c is a 2-coloring of th two lmnt substs of a finit domain [0, c ], and A and B ar disjoint substs of this domain. W say (c α, A α, B α) xtnds (c β, A β, B β ) if c β c α, A β A α, B β B α, if a A β and c β < x c α, thn c α (a, x) = 0, and if b B β and c β < x c α, thn c α (b, x) = 1. In th full construction, ths partial stabl colorings will b our ground forcing conditions, and w can forc statmnts such as F is a finit transitiv subtournamnt of T c or I is a minimal intrval in F which is infinit in T c in a standard mannr. For xampl, th st of (c, A, B ) such that i A B is obviously dns, so a gnric coloring c will b stabl. Givn α = (c α, A α, Bα), w lt C α dnot th st of suitably gnric infinit stabl colorings xtnding α. To approximat a solution S to T c, w augmnt a partial stabl coloring α by adding a finit transitiv subtournamnt F α of T cα and a minimal intrval I α of F α such that I α is infinit in vry tournamnt T c for c C α. F α dnots th part of S spcifid so far and I α witnsss th fact that no mattr how c α is (gnrically) xtndd to c, F α is xtndibl in T c. Thus, a condition for th purposs of this sktch has th form α = (c α, A α, Bα, F α, I α ). W say α xtnds β if th partial colorings xtnd as abov, F β F α, I α is a subintrval of I β and for ach x F α \ F β, x > max(f β ) and x I β. Givn a condition α, w would lik to mt R i by xtnding c α to c β and F α to F β so that Φ c β F β i (y) = 1 for som larg y A α Bα. Assuming w can do this without xpanding A α Bα, w ar fr to add y to ithr A α or Bα. Thrfor, if w can prform such an xpansion twic, w will arriv at a condition γ such that a A γ b Bγ (Φ cγ Fγ i (a) = Φ cγ Fγ i (b) = 1) and hnc will hav succssfully diagonalizd. Th obvious difficulty is that w hav to maintain that F γ is xtndibl in T c for all c C γ. W us following partition thorm to hlp addrss this problm. Lmma 4.1. Lt T b an infinit tournamnt, F b a finit transitiv st and (a, b) b a minimal intrval of F which is infinit in T. For any finit st J (a, b) such that F J is transitiv, thr is a partition P Q = J such that both F P and F Q ar xtndibl and contain minimal intrvals in (a, b) which ar infinit in T. Givn a condition α, w ask our main qustion: is thr a coloring c C α xtnding c α, an infinit transitiv st S in T c containd in I α with F α < S, and a finit initial sgmnt J of S such that for all partitions P Q = J, thr is a transitiv F P or F Q for which Φ c (Fα F ) i (y) = 1 for som y A α Bα? Suppos th answr to this qustion is ys. W collct a finit st Y disjoint from A α Bα such that for ach partition P Q = J, thr is som F P,Q P or F P,Q Q and som y Y 21

CS 361 Meeting 12 10/3/18

CS 361 Meeting 12 10/3/18 CS 36 Mting 2 /3/8 Announcmnts. Homwork 4 is du Friday. If Friday is Mountain Day, homwork should b turnd in at my offic or th dpartmnt offic bfor 4. 2. Homwork 5 will b availabl ovr th wknd. 3. Our midtrm

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

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

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

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

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

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

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

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

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

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

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

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

(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

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

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

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

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases.

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases. Homwork 5 M 373K Solutions Mark Lindbrg and Travis Schdlr 1. Prov that th ring Z/mZ (for m 0) is a fild if and only if m is prim. ( ) Proof by Contrapositiv: Hr, thr ar thr cass for m not prim. m 0: Whn

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

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

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

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

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

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

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

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

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

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

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

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

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1

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

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

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

Calculus concepts derivatives

Calculus concepts derivatives All rasonabl fforts hav bn mad to mak sur th nots ar accurat. Th author cannot b hld rsponsibl for any damags arising from th us of ths nots in any fashion. Calculus concpts drivativs Concpts involving

More information

Brief Introduction to Statistical Mechanics

Brief Introduction to Statistical Mechanics Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.

More information

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x "±# ( ).

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x ±# ( ). A. Limits and Horizontal Asymptots What you ar finding: You can b askd to find lim x "a H.A.) problm is asking you find lim x "# and lim x "$#. or lim x "±#. Typically, a horizontal asymptot algbraically,

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

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

UNTYPED LAMBDA CALCULUS (II)

UNTYPED LAMBDA CALCULUS (II) 1 UNTYPED LAMBDA CALCULUS (II) RECALL: CALL-BY-VALUE O.S. Basic rul Sarch ruls: (\x.) v [v/x] 1 1 1 1 v v CALL-BY-VALUE EVALUATION EXAMPLE (\x. x x) (\y. y) x x [\y. y / x] = (\y. y) (\y. y) y [\y. y /

More information

Strongly Connected Components

Strongly Connected Components Strongly Connctd Componnts Lt G = (V, E) b a dirctd graph Writ if thr is a path from to in G Writ if and is an quivalnc rlation: implis and implis s quivalnc classs ar calld th strongly connctd componnts

More information

Abstract Interpretation. Lecture 5. Profs. Aiken, Barrett & Dill CS 357 Lecture 5 1

Abstract Interpretation. Lecture 5. Profs. Aiken, Barrett & Dill CS 357 Lecture 5 1 Abstract Intrprtation 1 History On brakthrough papr Cousot & Cousot 77 (?) Inspird by Dataflow analysis Dnotational smantics Enthusiastically mbracd by th community At last th functional community... At

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

Mutually Independent Hamiltonian Cycles of Pancake Networks

Mutually Independent Hamiltonian Cycles of Pancake Networks Mutually Indpndnt Hamiltonian Cycls of Pancak Ntworks Chng-Kuan Lin Dpartmnt of Mathmatics National Cntral Univrsity, Chung-Li, Taiwan 00, R O C discipl@ms0urlcomtw Hua-Min Huang Dpartmnt of Mathmatics

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

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

Application of Vague Soft Sets in students evaluation

Application of Vague Soft Sets in students evaluation Availabl onlin at www.plagiarsarchlibrary.com Advancs in Applid Scinc Rsarch, 0, (6):48-43 ISSN: 0976-860 CODEN (USA): AASRFC Application of Vagu Soft Sts in studnts valuation B. Chtia*and P. K. Das Dpartmnt

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

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

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

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

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

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

1997 AP Calculus AB: Section I, Part A

1997 AP Calculus AB: Section I, Part A 997 AP Calculus AB: Sction I, Part A 50 Minuts No Calculator Not: Unlss othrwis spcifid, th domain of a function f is assumd to b th st of all ral numbrs for which f () is a ral numbr.. (4 6 ) d= 4 6 6

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

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

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

The second condition says that a node α of the tree has exactly n children if the arity of its label is n.

The second condition says that a node α of the tree has exactly n children if the arity of its label is n. CS 6110 S14 Hanout 2 Proof of Conflunc 27 January 2014 In this supplmntary lctur w prov that th λ-calculus is conflunt. This is rsult is u to lonzo Church (1903 1995) an J. arkly Rossr (1907 1989) an is

More information

International Journal of Foundations of Computer Science c World Scientic Publishing Company Searching a Pseudo 3-Sided Solid Orthoconvex Grid ANTONIO

International Journal of Foundations of Computer Science c World Scientic Publishing Company Searching a Pseudo 3-Sided Solid Orthoconvex Grid ANTONIO Intrnational Journal of Foundations of Computr Scinc c World Scintic Publishing Company Sarching a Psudo 3-Sidd Solid Orthoconvx Grid ANTONIOS SYMVONIS Bassr Dpartmnt of Computr Scinc, Univrsity of Sydny

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

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j)

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j) INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS T D BROWNING AND A HAYNES Abstract W invstigat th solubility of th congrunc xy (mod ), whr is a rim and x, y ar rstrictd to li

More information

10. Limits involving infinity

10. Limits involving infinity . Limits involving infinity It is known from th it ruls for fundamntal arithmtic oprations (+,-,, ) that if two functions hav finit its at a (finit or infinit) point, that is, thy ar convrgnt, th it of

More information

Differentiation of Exponential Functions

Differentiation of Exponential Functions Calculus Modul C Diffrntiation of Eponntial Functions Copyright This publication Th Northrn Albrta Institut of Tchnology 007. All Rights Rsrvd. LAST REVISED March, 009 Introduction to Diffrntiation of

More information

Problem Set #2 Due: Friday April 20, 2018 at 5 PM.

Problem Set #2 Due: Friday April 20, 2018 at 5 PM. 1 EE102B Spring 2018 Signal Procssing and Linar Systms II Goldsmith Problm St #2 Du: Friday April 20, 2018 at 5 PM. 1. Non-idal sampling and rcovry of idal sampls by discrt-tim filtring 30 pts) Considr

More information

What is a hereditary algebra?

What is a hereditary algebra? What is a hrditary algbra? (On Ext 2 and th vanishing of Ext 2 ) Claus Michal Ringl At th Münstr workshop 2011, thr short lcturs wr arrangd in th styl of th rgular column in th Notics of th AMS: What is?

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

Homogeneous Constant Matrix Systems, Part I

Homogeneous Constant Matrix Systems, Part I 39 Homognous Constant Matrix Systms, Part I Finally, w can start discussing mthods for solving a vry important class of diffrntial quation systms of diffrntial quations: homognous constant matrix systms

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

Some remarks on Kurepa s left factorial

Some remarks on Kurepa s left factorial Som rmarks on Kurpa s lft factorial arxiv:math/0410477v1 [math.nt] 21 Oct 2004 Brnd C. Kllnr Abstract W stablish a connction btwn th subfactorial function S(n) and th lft factorial function of Kurpa K(n).

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

General Notes About 2007 AP Physics Scoring Guidelines

General Notes About 2007 AP Physics Scoring Guidelines AP PHYSICS C: ELECTRICITY AND MAGNETISM 2007 SCORING GUIDELINES Gnral Nots About 2007 AP Physics Scoring Guidlins 1. Th solutions contain th most common mthod of solving th fr-rspons qustions and th allocation

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

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Procssing Prof. Mark Fowlr ot St #18 Introduction to DFT (via th DTFT) Rading Assignmnt: Sct. 7.1 of Proakis & Manolakis 1/24 Discrt Fourir Transform (DFT) W v sn that th DTFT is

More information

Estimation of apparent fraction defective: A mathematical approach

Estimation of apparent fraction defective: A mathematical approach Availabl onlin at www.plagiarsarchlibrary.com Plagia Rsarch Library Advancs in Applid Scinc Rsarch, 011, (): 84-89 ISSN: 0976-8610 CODEN (USA): AASRFC Estimation of apparnt fraction dfctiv: A mathmatical

More information

1 N N(θ;d 1...d l ;N) 1 q l = o(1)

1 N N(θ;d 1...d l ;N) 1 q l = o(1) NORMALITY OF NUMBERS GENERATED BY THE VALUES OF ENTIRE FUNCTIONS MANFRED G. MADRITSCH, JÖRG M. THUSWALDNER, AND ROBERT F. TICHY Abstract. W show that th numbr gnratd by th q-ary intgr part of an ntir function

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

1 Input-Output Stability

1 Input-Output Stability Inut-Outut Stability Inut-outut stability analysis allows us to analyz th stability of a givn syst without knowing th intrnal stat x of th syst. Bfor going forward, w hav to introduc so inut-outut athatical

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

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012 Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor

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

1 General boundary conditions in diffusion

1 General boundary conditions in diffusion Gnral boundary conditions in diffusion Πρόβλημα 4.8 : Δίνεται μονοδιάτατη πλάκα πάχους, που το ένα άκρο της κρατιέται ε θερμοκραία T t και το άλλο ε θερμοκραία T 2 t. Αν η αρχική θερμοκραία της πλάκας

More information

1 A lower bound. Lecture notes: Online bipartite matching algorithms

1 A lower bound. Lecture notes: Online bipartite matching algorithms Cornll Univrsity, Fall 217 Lctur nots: Onlin bipartit matching algorithms CS 682: Algorithms 6 8 Spt In practic whn dsigning algorithms, it is oftn th cas that th input is a stram of data arriving ovr

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

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

Note If the candidate believes that e x = 0 solves to x = 0 or gives an extra solution of x = 0, then withhold the final accuracy mark.

Note If the candidate believes that e x = 0 solves to x = 0 or gives an extra solution of x = 0, then withhold the final accuracy mark. . (a) Eithr y = or ( 0, ) (b) Whn =, y = ( 0 + ) = 0 = 0 ( + ) = 0 ( )( ) = 0 Eithr = (for possibly abov) or = A 3. Not If th candidat blivs that = 0 solvs to = 0 or givs an tra solution of = 0, thn withhold

More information

Mor Tutorial at www.dumblittldoctor.com Work th problms without a calculator, but us a calculator to chck rsults. And try diffrntiating your answrs in part III as a usful chck. I. Applications of Intgration

More information

LINEAR SYSTEMS OF DIFFERENTIAL EQUATIONS DONE RIGHT KYLE ORMSBY

LINEAR SYSTEMS OF DIFFERENTIAL EQUATIONS DONE RIGHT KYLE ORMSBY LINEAR SYSTEMS OF DIFFERENTIAL EQUATIONS DONE RIGHT KYLE ORMSBY INTRODUCTION TO THE PROBLEM Considr a continous function F : R n R n W will think of F as a vctor fild, and can think of F x as a vlocity

More information

Differential Equations

Differential Equations Prfac Hr ar m onlin nots for m diffrntial quations cours that I tach hr at Lamar Univrsit. Dspit th fact that ths ar m class nots, th should b accssibl to anon wanting to larn how to solv diffrntial quations

More information

Combinatorial Networks Week 1, March 11-12

Combinatorial Networks Week 1, March 11-12 1 Nots on March 11 Combinatorial Ntwors W 1, March 11-1 11 Th Pigonhol Principl Th Pigonhol Principl If n objcts ar placd in hols, whr n >, thr xists a box with mor than on objcts 11 Thorm Givn a simpl

More information

Stochastic Submodular Maximization

Stochastic Submodular Maximization Stochastic Submodular Maximization Arash Asadpour, Hamid Nazrzadh, and Amin Sabri Stanford Univrsity, Stanford, CA. {asadpour,hamidnz,sabri}@stanford.du Abstract. W study stochastic submodular maximization

More information

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0 unction Spacs Prrquisit: Sction 4.7, Coordinatization n this sction, w apply th tchniqus of Chaptr 4 to vctor spacs whos lmnts ar functions. Th vctor spacs P n and P ar familiar xampls of such spacs. Othr

More information

Category Theory Approach to Fusion of Wavelet-Based Features

Category Theory Approach to Fusion of Wavelet-Based Features Catgory Thory Approach to Fusion of Wavlt-Basd Faturs Scott A. DLoach Air Forc Institut of Tchnology Dpartmnt of Elctrical and Computr Enginring Wright-Pattrson AFB, Ohio 45433 Scott.DLoach@afit.af.mil

More information

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12 Enginring Bautiful HW #1 Pag 1 of 6 5.1 Two componnts of a minicomputr hav th following joint pdf for thir usful liftims X and Y: = x(1+ x and y othrwis a. What is th probability that th liftim X of th

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

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall Staning Wav Intrfrnc btwn th incint & rflct wavs Staning wav A string with on n fix on a wall Incint: y, t) Y cos( t ) 1( Y 1 ( ) Y (St th incint wav s phas to b, i.., Y + ral & positiv.) Rflct: y, t)

More information

REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS

REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS JIAQI JIANG Abstract. This papr studis th rlationship btwn rprsntations of a Li group and rprsntations of its Li algbra. W will mak th corrspondnc in two

More information

First order differential equation Linear equation; Method of integrating factors

First order differential equation Linear equation; Method of integrating factors First orr iffrntial quation Linar quation; Mtho of intgrating factors Exampl 1: Rwrit th lft han si as th rivativ of th prouct of y an som function by prouct rul irctly. Solving th first orr iffrntial

More information

Uniformly Hard Languages

Uniformly Hard Languages Uniformly Hard Languags Rod Downy y Dpartmnt of Mathmatics Victoria Univrsity P. O. Box 600, Wllington Nw Zaland Lanc Fortnow z Dpartmnt of Computr Scinc Univrsity of Chicago 1100 E. 58th St. Chicago,

More information

A Simple Formula for the Hilbert Metric with Respect to a Sub-Gaussian Cone

A Simple Formula for the Hilbert Metric with Respect to a Sub-Gaussian Cone mathmatics Articl A Simpl Formula for th Hilbrt Mtric with Rspct to a Sub-Gaussian Con Stéphan Chrétin 1, * and Juan-Pablo Ortga 2 1 National Physical Laboratory, Hampton Road, Tddinton TW11 0LW, UK 2

More information