MAXIMAL CHAINS IN THE TURING DEGREES

Size: px
Start display at page:

Download "MAXIMAL CHAINS IN THE TURING DEGREES"

Transcription

1 MAXIMAL CHAINS IN THE TURING DEGREES C. T. CHONG AND LIANG YU Abstract. W study th problm of xistnc of maximal chains in th Turing dgrs. W show that:. ZF + DC+ Thr xists no maximal chain in th Turing dgrs is quiconsistnt with ZF C+ Thr xists an inaccssibl cardinal ; 2. For all a 2 ω, (ω ) L[a] = ω if and only if thr xists a Π [a] maximal chain in th Turing dgrs. As a corollary, ZF C+ Thr xists an inaccssibl cardinal is quiconsistnt with ZF C+ Thr is no (bold fac) Π maximal chain of Turing dgrs.. Introduction. A chain in th Turing dgrs is a st of rals in which any two distinct lmnts ar Turing comparabl but not quivalnt. A maximal chain is a chain which cannot b proprly xtndd. An antichain of Turing dgrs, by contrast, is a st of rals in which any two distinct lmnts ar Turing incomparabl. A maximal antichain is an antichain that cannot b proprly xtndd. In this papr, w study maximal chains in th Turing dgrs. This is a classical topic in rcursion thory which may b tracd back to Sacks [3], in which h provd th xistnc of a minimal uppr bound for any countabl st of Turing dgrs. As a consqunc, assuming th Axiom of Choic AC, thr is a maximal chain of ordr typ ω. Abraham and Shor [] vn constructd an initial sgmnt of th Turing dgrs of ordr typ ω. All of ths rsults dpnd havily on AC. W ar intrstd in th following qustions:. Is AC ncssary to show that thr xists a maximal chain? Can on construct a maximal chain without AC? 2. Is thr a dfinabl, say Π, maximal chain? For (), w will prov in Sction 2 that ovr ZF plus th Axiom of Dpndnt Choic DC, thr is no maximal chain in th Turing dgrs is quiconsistnt with ZF C + thr xists an inaccssibl cardinal. This shows that th xistnc of maximal chains is dcidd by on s blif, ovr ZF + DC, in 2000 Mathmatics Subjct Classification. 03D28,03E5,03E35,03E45. Th authors wish to thank th rfr for a carful rading of th manuscript and for suggstions that improvd on th original rsults and ld to Thorm 3.5 and Corollary 3.6. W also thank Manul Lrman, Richard Shor and Yu Yang for hlpful discussions. Th first author wishs to thank Andra Sorbi and th Univrsity of Sinna for thir gracious hospitality, during a visit undr th INDAM-GNSAGA visiting profssorship schm. His rsarch was also partially supportd by NUS grant WBS Th scond author was supportd by NUS Grant No. R (Singapor) and NSF of China No and No

2 2 C. T. CHONG AND LIANG YU th xistnc of an inaccssibl cardinal. Thus if on blivs that thr is no larg cardinal in L, thn on would dduc th xistnc of a maximal chain from ZF + DC. On th othr hand, if thr is no maximal chain thn ω is inaccssibl in L (in fact in L[a] for any ral a). For (2), th situation is mor complicatd. It is not difficult to show, undr ZF + DC, that thr xists no Σ maximal chain in th Turing dgrs. This is th bst rsult within ZF + DC. By Martin and Solovay s rsult [9], it is consistnt with ZF C that vry maximal chain is Π. Is it consistnt with ZF C that thr xists a Π maximal chain? W show (Thorm 3.5) that thr is a Π maximal chain undr th assumption of (ω ) L = ω. W organiz th papr as follows: In Sction 2, w study th rlation btwn xistnc of maximal chains and larg cardinals. In Sction 3, w considr th problm of th xistnc of dfinabl maximal chains. Notations. A tr T is a subst of 2 <ω which is downward closd. Givn a tr T, a finit string σ is said to b a splitting nod on T if both σ 0 and σ ar in T. Th string σ is said to b an n-th splitting nod on T if σ T is a splitting nod and thr ar n -many splitting nods that ar initial sgmnts of σ. Lt T σ = {τ T τ σ τ σ} and T n = {σ T σ n}. W us [T ] to dnot th st of rals {z ( n)(z n T )}. A prfct tr T is a tr in which for ach σ, thr is a τ T so that τ σ and τ is a splitting nod. Dfin th n-th lvl of T to b Lv n (T ) = {σ Lv n (T ) ( τ)(τ T σ τ τ is an n-th slpitting nod on T )}. For notations and dfinitions not givn hr, s [4], [8], [6],[2] and [4]. Acknowldgmnt. W thank th rfr for a carful rading of th manuscript and for suggstions that improvd on th original rsults and ld to Thorm 3.5 and Corollary 3.6. W also thank Manul Lrman, Richard Shor and Yu Yang for hlpful discussions. 2. Chains and larg cardinals. W us I to dnot th statmnt thr xists an inaccssibl cardinal and N M T to dnot thr xists no maximal chain in th Turing dgrs. In this sction, w prov that ZF + DC + NMT is quiconsistnt with ZF C + I. A st A of rals is said to b an antichain if for all x, y A, x y implis x T y. Th following rsult is ssntially du to Sacks [3] which will play a critical rol in this and latr sctions. Lmma 2.. (ZF + DC) For ach prfct tr T, thr is a prfct tr S T so that [S] is an antichain. Proposition 2.2. Assum Con(ZF C + I). Thn Con(ZF + DC + NMT ) holds.

3 MAXIMAL CHAINS IN THE TURING DEGREES 3 Proof. By Solovay s thorm [7], assuming Con(ZF C + I), ZF + DC is consistnt with th statmnt: Evry uncountabl st contains a prfct subst. Now vry maximal chain is uncountabl and, by Lmma 2., dos not contain a prfct st. Hnc ZF + DC is consistnt with th statmnt Thr is no maximal chain in th Turing dgrs. Proposition 2.3. If Con(ZF + DC + NMT ), thn Con(ZF C + I). Proof. By Solovay s rsult [6], it suffics to prov that ZF + DC + NMT ( x 2 ω )(ω L[x] < ω ). To show this, assum that thr is a ral x so that ω L[x] = ω. Thn sinc 2 ω L[x] has a wll-ordring in L[x] of ordr typ ω L[x], it is straightforward to obtain a maximal chain A L[x] 2 ω in L[x] of siz (ℵ ) L[x]. Sinc ω L[x] = ω, A = ℵ. Lt A = {z α } α<ω. If A is not a maximal chain in V (th ral world), thn tak a witnss z A which is comparabl with all of th rals in A. So thr is an α < ω so that z T z α. Thn z L[x] sinc A L[x]. So A is not a maximal chain in L[x], a contradiction. Not that th proofs abov also show that ZF C + I is quiconsistnt with ZF + DC+ Evry chain of th Turing dgrs is countabl. 3. Th xistnc of dfinabl maximal chains. In this sction, w study th xistnc of dfinabl maximal chains of Turing dgrs. Proposition 3.. (ZF + DC) Thr is no Σ maximal chain in th Turing dgrs. Proof. If A is a maximal Σ chain in th Turing dgrs, thn A must hav a prfct subst sinc A is uncountabl. By Lmma 2., A will thn contain a pair of T -incomparabl rals, which contradicts th fact that A is chain. Assuming MA + CH + (ω ) L = ω, by Martin-Solovay s rsult that ach st of rals with siz at most ℵ is Π [9], on ss that ach maximal chain in th Turing dgrs is a Π -st. Th qustion thn is whthr thr is a Π maximal chain. W giv a positiv answr assuming (ω ) L = ω. Rcall that a ral x is a minimal covr of a countabl st A of rals if (i) x is an uppr bound of vry ral in A, and (ii) no y < T x is an uppr bound of A. Sacks [3] showd that vry countabl collction of Turing dgrs has a minimal covr. Th nxt lmma implis that a minimal covr xists with arbitrarily high doubl jump. Lmma 3.2. (ZF ) Assum A is a countabl st of rals and x is a ral. Thr is a minimal covr z of A so that z T x.

4 4 C. T. CHONG AND LIANG YU Proof. W fix an ffctiv numration of partial rcursiv oracl functions {Φ } <ω. Lt {p n } n<ω b a rcursiv - numration of prim numbrs. Allowing ambiguity, w will also us p σ to dnot th prim numbr which cods th string σ. Givn a rcursiv oracl function Φ, w us Φ y = T to xprss th following:. Φ y is total; 2. ( n)(φ y (n) = σ Lv n(t ) p σ). Dfin L n (T ) to b th lftmost n + -th splitting nod and R n (T ) to b th rightmost n + -th splitting nod. For ach finit string σ, ral x and prfct tr T 2 <ω with σ T, dfin T (σ, x, T ) to b a prfct tr so that T (σ, x, T ) is th intrsction of a squnc of prfct trs T n givn as follows: T 0 = T σ. T n+ = {τ σ Lv n (T n )(τ σ)} S n+ T n whr S n+ is dfind as: Cas() : x(n) = 0. σ S n+ if and only if thr xists τ Lv n+ (T n ) so that σ τ and τ = L (Tn ν ) for som ν which is an n-th splitting nod of T n. Cas(2) :x(n) =. σ S n+ if and only if thr xists τ Lv n+ (T n ) so that σ τ and τ = R (Tn ν ) for som ν which is an n-th splitting nod of T n. Dfin T (σ, x, T ) = T n. n In othr words, T (σ, x, T ) is a subtr which, roughly spaking, cods x(n) at a 2n-th splitting nod of T σ. Not that T (σ, x, T ) T T x. Morovr, suppos for som rcursiv oracl function Φ, w hav Φ y = T for all y [T ]. Thn thr is a rcursiv oracl function Ψ such that Ψ y = x for all y T (σ, x, T ). Furthrmor, givn an indx of th oracl function Φ, an indx of th oracl function Ψ may b ffctivly obtaind from σ. In othr words, thr is a rcursiv function f such that Φ y f(σ ) = x for all y [T (σ, x, T )]. Sinc Φ y = T for all y [T (σ, x, T )] [T ] and x T T T (σ, x, T ), thr is a rcursiv function g so that Φ y g(σ ) = T (σ, x, T ) for all y [T (σ, x, T )]. W giv a sktch of th ida bhind th construction of z. To obtain a minimal covr of a countabl st A = {x i } i<ω, on maks appropriat modifications of th construction of a minimal dgr (s [8]). To mak th minimal dgr rlativly high (i.. to mak it comput a givn x through jumps), on nds to cod th indics of th prfct trs in th cours of th construction ([5] is a good sourc whr this ida is mad prcis). Wr th construction uniform, on could us th Rcursion Thorm to cod th indx of th nxt prfct tr bing dfind during th stp by stp construction. This tchniqu could b applid to cod x and x i into z for ach i < ω. Howvr, to achiv minimality, th construction is non-uniform (on nds to dcid whthr th nxt tr will b an -splitting tr or a full tr, which in gnral is a doubl jump qustion). Although it is highly non-uniform, th construction dos bcom uniform onc it is dcidd which situation on is in (s Substp 3 of th construction blow). This is th rason for using z to gt up to x. W now turn to th construction.

5 MAXIMAL CHAINS IN THE TURING DEGREES 5 Fix a ral x and an numration {x i } i ω of A. Suppos th rcursiv oracl functional Φ 0 satisfis Φ y 0 = 2<ω for all rals y. W construct a squnc of prfct trs stp by stp. At stp n, w construct a prfct tr T n T i<n x i and a finit string σ n so that T n σ n = {τ τ σ n }, σ n > n and thr is a rcursiv oracl functional Φ n so that for ach y [T n ], Φ y n = T n. Construction At stp 0, dfin T 0 = 2 <ω and σ 0 =. At stp n +, thr ar thr substps: Substp (Coding x). For ach k: If x(n) = 0, dfin σn+,0 k = R (T L k(t n ) n ); othrwis, dfin σn+,0 k = L (T R k(t n ) n ). Dfin T n+,0,k = T σk n+,0 n. Hnc thr is a rcursiv oracl functional Φ ik such that for ach y T n+,0,k, Φ y i k = T n+,0,k. Not that th function k i k is rcursiv. It follows from th Rcursion Thorm that thr is a numbr k 0 such that Φ y i k0 = Φ y k 0 for all y [T σk 0 n+,0 n ]. Fix this k 0 and dfin σn+ 0 = σ k 0 n+,0, and T n+,0 = T n+,0,k0. Substp 2 (Coding x n ). For ach k: Dfin T n+,,k = T (R (T L k(t n+,0 ) n+,0 ), x n, T n+,0 ). By th discussion abov, thr ar rcursiv functions f, g so that Φ y f(k) = x n and Φ y g(k) = T n+,,k for all y [T n+,,k ]. By th Rcursion Thorm, thr is a k such that Φ y k = Φ y g(k ) = T n+,,k for all y [T n+,,k ]. Dfin σ n+, = R (T L k (T n+,0) n+,0 ) and T n+, = T n+,,k. Substp 3 (Forcing a minimal covr). This is th only plac whr z is usd. Cas() : Thr xists σ T n+, and a numbr i σ so that for all m > i σ, τ, τ 2 σ, {τ, τ 2 } T n+, Φ τ n+ (m) Φτ 2 n+ (m) = Φτ n+ (m) = Φ τ 2 n+ (m). Choos th last such σ T n+, (in th sns of th coding of strings). Dfin S = Tn+,. σ For ach k, dfin S k = S R (S L k (S)). By th Rcursion Thorm again, thr is a k 2 so that Φ y k 2 = S R (S L k 2 (S) ) for all y [S R(SL k (S) 2 ) ]. Dfin σ n+ = R (S L k (S) 2 ) and T n+ = S σn+. Lk(Tn+,) R(Tn+, ) Cas(2) : Othrwis. For ach k, dfin S k = Tn+,. Thn w can S k -rcursivly find a sub-prfct tr P k of S k such that for all y [P k ], Φ y n is total and for all τ 0, τ P k, if τ 0 τ, thn thr must b som i so that for all rals z 0 τ 0 and z τ, Φ z0 n (i) Φ z n (i). By th Rcursion Thorm, thr is a k 2 such that Φ y k 2 = P k2 for all y [P k2 ]. Lt T n+ = P k2 and σ n+ = R (T L k 2 (T n+,) n+, ) T n+. Lt n+ = k 3. Thn Φ y n+ = T n+ for all y [T n+ ]. This complts th construction at stp n +. Not that by induction on n, T n+ T i<n+ x i. Finally, lt z = n σ n. By th usual argumnts (s [8]), on can show that z is a minimal covr of A sinc T n+ T i<n+ x i for ach n. W show that z T x. W prov this by

6 6 C. T. CHONG AND LIANG YU using induction on n to show that x(n) may b z -uniformly computd. To do this, w show that th indx n is uniformly computd from z. At stp n +, by inductiv hypothsis, w can z -rcursivly find n. By th construction, w hav Φ y n = T n for all y [T n ]. W can z-rcursivly find an initial sgmnt of z which is R (T L k 0 (T n ) n ) or L (T R k 0 (T n ) n ) for som k 0. In th first cas, x(n) = 0. In th scond cas, x(n) =. Not that Φ z k 0 is th prfct tr in Substp of th construction. W can z-rcursivly find k so that R ((Φ z k 0 ) L k (Φ z k ) 0 ) z. Thn Φ z k = T (R ((Φ z k 0 ) L k (Φ z k ) 0 ), x n, Φ z k 0 ) = T n+,. W us z to dcid which cas Φ z k is in. In cas (), w z -rcursivly find th last σ T n+, with th rquird proprty. Lt S = Tn+,. σ Thn w z-rcursivly find th k 2 so that Φ z k 2 = S R(SL k 2 (S) ). So n+ = k 2 and T n+ = S R (S L k (S) 2 ) = Φ z k 2. In Cas (2), w z-rcursivly find th k 2 so that R (T L k 2 (T n+, ) n+, ) z. Thn by th construction, n+ = k 2 and T n+ = Φ z k 2. Thus z T x and th proof of Lmma 3.2 is complt. Rmark. W conjctur that z may b rplacd by z in Lmma 3.2. Corollary 3.3. (ZF +DC) Assum that A is a countabl st of rals. Thr is a ral x so that for ach y T x, thr is a minimal covr z of A so that z T y. Proof. Assum A is a countabl st of rals. Fix an numration {x i } i of A. Th st B = {y ( z)(z is a minimal covr of A z T y)} = {y ( )( i)( j)[(φ y is total (Φ y ) T y x i T Φ y (Φ Φy j is total ( k)(x k T Φ Φy j ) = Φ y T Φ Φy j )]} is a Borl st. By Lmma 3.2, for ach ral x, thr is a ral y B so that y T x. By Borl dtrminacy (Martin [0]), thr is a ral x so that {y y T x} B. To show th main rsult, w first construct a Π maximal chain in th Turing dgrs undr th assumption V = L. Th proof of th following lmma dpnds havily on th rsults of Boolos and Putnam [3]. Call a st E ω ω an arithmtical copy of a structur (S, ) if thr is a - function f : S ω so that for all x, y S, x y if and only if (f(x), f(y)) E. In ([3]) it is provd that if (L α+ \ L α ) 2 ω thn thr is an arithmtical copy E α L α+ of (L α, ) so that any x (L α+ \ L α ) 2 ω is arithmtical in E α (i.. E α is a mastr cod for α in th sns of Jnsn [7]). Morovr, ach z L α 2 ω is on-on rducibl to E α. Sinc E α ω ω, it may b viwd as a ral. Not that for ach constructibly countabl β, thr is an α > β such that (L α+ \ L α ) 2 ω. W will b considring sts A α ω. It will b convnint to idntify A with an α-squnc {A γ γ < α} of rals, whr A γ = {(γ, n) (γ, n) A}.

7 MAXIMAL CHAINS IN THE TURING DEGREES 7 Thorm 3.4. Assum V = L. Thr is a Π maximal chain in th Turing dgrs of ordr typ ω. Proof. By th Gandy-Spctor thorm, a st A of rals is Π if and only if thr is a Σ 0 -formula ϕ such that y A ( x L ω y [y])(l ω y [y] = ϕ(x, y)), whr ω y is th last ordinal α biggr than ω so that L α[y] is admissibl (s Thorm 3. Chaptr IV [2]). Our proof combins Corollary 3.3 and van Engln t al s argumnt [5]. Basd on th papr [5], Millr [] providd a gnral machinry to construct a Π st satisfying som particular proprtis. Howvr, th prsntation is sktchy and incomplt. W giv a dtaild argumnt hr whr it prtains to th thorm at hand. Assuming V = L, w dfin a function F on ω α<ω P(α ω) as follows: For ach α < ω, A α ω, w dfin F (α, A) to b th ral y such that thr xists a lxicographically last tripl (β, E, 0 ) (whr th ordring on th scond coordinat is < L ) satisfying th following proprtis :. Thr is a function h L β which maps ω onto α, and (L β+ \ L β ) 2 ω ; 2. E L β+ is an arithmtical copy of (L β, ) with th proprtis mntiond bfor th statmnt of Thorm 3.4; 3. y is a minimal covr of th st of rals {x β β < α n(x β (n) = A(β, n))}; 4. y T E and finally 5. y = Φ E 0. W show that F is a total function. For ach (α, A), w show that thr xists a y such that F (α, A) = y. It suffics to show that (β, E, 0 ) xists. Thn by th fact that th lxicographical ordr is a wll ordring, thr must b a last on and this will yild th y ndd to dfin F (α, A). Fix a ral x for A as in Corollary 3.3, th bas of a con of Turing dgrs that ar doubl jumps of minimal covrs of A. Sinc V = L, thr is a β > α such that x L β, (L β+ \ L β ) 2 ω and thr is a function h α mapping ω onto α. By th discussion abov, thr is an arithmtical copy E ω ω in L β+ such that E > T x. By Corollary 3.3 and th choic of x, thr is a minimal covr y of A so that y T E and y = Φ E 0 for som 0. Obviously, L β+ L ω y [y]. By th absolutnss of < L, it is asy to s that F (α, A) is dfind. Not that F (α, A) dpnds ssntially on A sinc A is a squnc of rals of lngth α. Morovr, for such A s on can vrify using th absolutnss of < L that thr is a Σ 0 formula ϕ(α, A, z, y) such that F (α, A) = y L (A,y) ω [A, y] = z h(ϕ(α, A, z, y) h is a function from ω onto α). Thus w can prform transfinit induction on countabl ordinals to construct a maximal chain of Turing dgrs of ordr typ ω. But car has to b xrcisd hr sinc in gnral sts constructd this way ar Σ ovr L ω, i.. Σ 2 and not ncssarily Π.

8 8 C. T. CHONG AND LIANG YU Dfin G(α) = y if and only if α < ω y f(f (2ω ) α+ f L ω y[y] f(α) = y β(β < α = f(β) = F (β, {(γ, n) n f(γ) γ < β}))). Sinc L ω y [y] is admissibl, G is Σ -dfinabl. In othr words, G(α) = y if and only if thr is a function f : α + 2 ω with f L ω y[y] such that L ω y[y] = (( s)( β α)( z s)ϕ(β, {(γ, n) n f(γ) γ < β}, z, f(β))) f(α) = y. Dfin th rang of G to b T. Thn y T if and only if thr xists an ordinal α < ω y and a function f : α + 2ω with f L ω y[y] such that L ω y[y] = (( s)( β α)( z s)ϕ(β, {(γ, n) n f(γ) γ < β}, z, f(β))) f(α) = y. So T is Π. All that rmains is to show that G is a wll-dfind total function on ω. This can b don using th sam argumnt as that for showing th rcursion thorm ovr admissibl structurs (s Barwis [2]). Th only difficult part is to argu, as was don arlir, that th function f dfind abov xists. W lav this to th radr. Thus T is a chain of ordr typ ω. To s that it is a maximal chain, lt x b a ral which is T-comparabl with all mmbrs of T. Slct th last α such that G(α) T x. Thn x T G(β) for all β < α. Sinc G(α) is a minimal covr of {G(β) β < α}, w hav G(α) T x. Thus T is a Π maximal chain. W arriv at th following charactrization: Thorm 3.5. Assum ZF + DC. Th following statmnts ar quivalnt:. (ω ) L = ω ; 2. Thr xists a Π maximal chain in th Turing dgrs. 3. Thr xists a Π uncountabl chain in th Turing dgrs. Proof. () = (2): Suppos (ω ) L = ω. Fix th Π st T as in Thorm 3.4. Sinc th statmnt T is a chain is Π 2 and L = T is a chain, T is a chain in th ral world V. Sinc T is uncountabl in L and (ω ) L = ω, T is uncountabl. Thus if x is a ral so that {x} T is a chain, thn x < T y for som y T so that x L. Sinc L = T is a maximal chain, T is a maximal chain in V. (2) = (3): This is Obvious. (3) = (): Suppos T is a Π uncountabl chain in th Turing dgrs. By Lmma 2., T is a thin st. Solovay [6] provd that if T is a thin Π st, thn T L, and (T ) L = T L = T. Thus T L (ω) L. Sinc T is uncountabl, (ω ) L = ω. Now Thorm 3.5 may b rlativizd to any ral a. To do this on first obsrvs that an analog of th Boolos-Putnam thorm [3] on arithmtic copis holds, so that if L α+ [a] \ L α [a], thn thr is an E α L α+ [a] 2 ω ω in which vry ral in L α+ [a] is a-arithmtical (i.. arithmtical in E α a). This provids th stting for stablishing a rlativizd vrsion of Thorm 3.4, namly if V = L[a],

9 MAXIMAL CHAINS IN THE TURING DEGREES 9 thn thr is a Π [a] maximal chain in th Turing dgrs of ordr typ ω. With this, on drivs a rlativizd vrsion of Thorm 3.5, whr ω L is rplacd by ω L[a], and Π by Π [a]. This lads to th following corollary showing that bold fac Π maximal chains play a critical rol in th xistnc problm of maximal chains, and givs an answr to th scond qustion posd at th bginning of this papr. Corollary 3.6. Th following statmnts ar quiconsistnt: () ZF C + I; (2) ZF + DC + Thr xists no Π maximal chain in th Turing dgrs. (3) ZF + AC + Thr xists no Π maximal chain in th Turing dgrs. Proof. () = (2). Assum that ZF C +I is consistnt. Thn by Proposition 2.2, ZF + DC + Thr xists no Π maximal chain in th Turing dgrs is consistnt. (2) = (). Assum that ZF + DC + Thr xists no Π maximal chain in th Turing dgrs is consistnt. By th obsrvation abov on rlativizing Thorm 3.5, th xistnc of a Π [a] maximal chain of Turing dgrs is quivalnt to ω L[a] = ω. Thus if thr is no Π maximal chain in th Turing dgrs, thn ω L[a] < ω for all rals a. This implis that ZF C + I is consistnt. (3) = (2). Obvious. () = (3). Assum that ZF C + I is consistnt. Thn ZF C + ω is inaccssibl in L is consistnt (by Lvy collaps). So thr is a ZF C modl M so that M = x 2 ω (ω L[x] < ω ). By th rlativizd vrsion of Thorm 3.5, thr is no Π maximal chain in th Turing dgrs in M. REFERENCES [] Uri Abraham and Richard A. Shor, Initial sgmnts of th dgrs of siz ℵ, Isral J. Math., vol. 53 (986), no., pp. 5. [2] Jon Barwis, Admissibl sts and structurs, Springr-Vrlag, Brlin, 975. [3] Gorg Boolos and Hilary Putnam, Dgrs of unsolvability of constructibl sts of intgrs, J. Symbolic Logic, vol. 33 (968), pp [4] Kith J. Dvlin, Constructibility, Prspctivs in Mathmatical Logic, Springr- Vrlag, Brlin, 984. [5] Fons van Engln, Arnold W. Millr, and John Stl, Rigid Borl sts and bttr quasi-ordr thory, Logic and combinatorics (arcata, calif., 985), Contmp. Math., vol. 65, Amr. Math. Soc., Providnc, RI, 987, pp [6] Thomas Jch, St thory, Springr Monographs in Mathmatics, Springr-Vrlag, Brlin, [7] R. Björn Jnsn, Th fin structur of th constructibl hirarchy, Ann. Math. Logic, vol. 4 (972), pp ; rratum, ibid. 4 (972), 443. [8] Manul Lrman, Dgrs of unsolvability, Prspctivs in Mathmatical Logic, Springr-Vrlag, Brlin, 983, Local and global thory. [9] D. A. Martin and R. M. Solovay, Intrnal Cohn xtnsions, Ann. Math. Logic, vol. 2 (970), no. 2, pp

10 0 C. T. CHONG AND LIANG YU [0] Donald A. Martin, Borl dtrminacy, Ann. of Math. (2), vol. 02 (975), no. 2, pp [] Arnold W. Millr, Infinit combinatorics and dfinability, Ann. Pur Appl. Logic, vol. 4 (989), no. 2, pp [2] Yiannis N. Moschovakis, Dscriptiv st thory, Studis in Logic and th Foundations of Mathmatics, vol. 00, North-Holland Publishing Co., Amstrdam, 980. [3] Grald E. Sacks, Dgrs of unsolvability, Princton Univrsity Prss, Princton, N.J., 963. [4], Highr rcursion thory, Prspctivs in Mathmatical Logic, Springr- Vrlag, Brlin, 990. [5] Stphn G. Simpson, Minimal covrs and hyprdgrs, Trans. Amr. Math. Soc., vol. 209 (975), pp [6] Robrt M. Solovay, On th cardinality of Σ 2 sts of rals, Foundations of mathmatics (symposium commmorating kurt gödl, columbus, ohio, 966), Springr, Nw York, 969, pp [7], A modl of st-thory in which vry st of rals is Lbsgu masurabl, Ann. of Math. (2), vol. 92 (970), pp. 56. DEPARTMENT OF MATHEMATICS FACULTY OF SCIENCE NATIONAL UNIVERSITY OF SINGAPORE LOWER KENT RIDGE ROAD SINGAPORE chongct@math.nus.ud.sg INSTITUTE OF MATHEMATICAL SCIENCE NANJING UNIVERSITY NANJING, JIANGSU PROVINCE P.R. OF CHINA yuliang.nju@gmail.com

(Analytic Formula for the European Normal Black Scholes Formula)

(Analytic Formula for the European Normal Black Scholes Formula) (Analytic Formula for th Europan Normal Black Schols Formula) by Kazuhiro Iwasawa Dcmbr 2, 2001 In this short summary papr, a brif summary of Black Schols typ formula for Normal modl will b givn. Usually

More information

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:

More information

Adverse Selection and Moral Hazard in a Model With 2 States of the World

Adverse Selection and Moral Hazard in a Model With 2 States of the World Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,

More information

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian

More information

A Note on Approximating. the Normal Distribution Function

A Note on Approximating. the Normal Distribution Function Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and

More information

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book. Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl

More information

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim

More information

In the previous two chapters, we clarified what it means for a problem to be decidable or undecidable.

In the previous two chapters, we clarified what it means for a problem to be decidable or undecidable. Chaptr 7 Computational Complxity 7.1 Th Class P In th prvious two chaptrs, w clarifid what it mans for a problm to b dcidabl or undcidabl. In principl, if a problm is dcidabl, thn thr is an algorithm (i..,

More information

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13) con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc

More information

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a high-lvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End

More information

COFINAL MAXIMAL CHAINS IN THE TURING DEGREES

COFINAL MAXIMAL CHAINS IN THE TURING DEGREES COFINA MAXIMA CHAINS IN THE TURING DEGREES WEI WANG, IUZHEN WU, AND IANG YU Abstract. Assuming ZF C, we prove that CH holds if and only if there exists a cofinal maximal chain of order type ω 1 in the

More information

QUANTITATIVE METHODS CLASSES WEEK SEVEN

QUANTITATIVE METHODS CLASSES WEEK SEVEN QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

Upper Bounding the Price of Anarchy in Atomic Splittable Selfish Routing

Upper Bounding the Price of Anarchy in Atomic Splittable Selfish Routing Uppr Bounding th Pric of Anarchy in Atomic Splittabl Slfish Routing Kamyar Khodamoradi 1, Mhrdad Mahdavi, and Mohammad Ghodsi 3 1 Sharif Univrsity of Tchnology, Thran, Iran, khodamoradi@c.sharif.du Sharif

More information

Constraint-Based Analysis of Gene Deletion in a Metabolic Network

Constraint-Based Analysis of Gene Deletion in a Metabolic Network Constraint-Basd Analysis of Gn Dltion in a Mtabolic Ntwork Abdlhalim Larhlimi and Alxandr Bockmayr DFG-Rsarch Cntr Mathon, FB Mathmatik und Informatik, Fri Univrsität Brlin, Arnimall, 3, 14195 Brlin, Grmany

More information

Traffic Flow Analysis (2)

Traffic Flow Analysis (2) Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,

More information

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs

More information

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

ME 612 Metal Forming and Theory of Plasticity. 6. Strain Mtal Forming and Thory of Plasticity -mail: azsnalp@gyt.du.tr Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.

More information

Parallel and Distributed Programming. Performance Metrics

Parallel and Distributed Programming. Performance Metrics Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:

More information

Entity-Relationship Model

Entity-Relationship Model Entity-Rlationship Modl Kuang-hua Chn Dpartmnt of Library and Information Scinc National Taiwan Univrsity A Company Databas Kps track of a company s mploys, dpartmnts and projcts Aftr th rquirmnts collction

More information

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among

More information

Performance Evaluation

Performance Evaluation Prformanc Evaluation ( ) Contnts lists availabl at ScincDirct Prformanc Evaluation journal hompag: www.lsvir.com/locat/pva Modling Bay-lik rputation systms: Analysis, charactrization and insuranc mchanism

More information

New Basis Functions. Section 8. Complex Fourier Series

New Basis Functions. Section 8. Complex Fourier Series Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting

More information

Continuity Cloud Virtual Firewall Guide

Continuity Cloud Virtual Firewall Guide Cloud Virtual Firwall Guid uh6 Vrsion 1.0 Octobr 2015 Foldr BDR Guid for Vam Pag 1 of 36 Cloud Virtual Firwall Guid CONTENTS INTRODUCTION... 3 ACCESSING THE VIRTUAL FIREWALL... 4 HYPER-V/VIRTUALBOX CONTINUITY

More information

Factorials! Stirling s formula

Factorials! Stirling s formula Author s not: This articl may us idas you havn t larnd yt, and might sm ovrly complicatd. It is not. Undrstanding Stirling s formula is not for th faint of hart, and rquirs concntrating on a sustaind mathmatical

More information

C H A P T E R 1 Writing Reports with SAS

C H A P T E R 1 Writing Reports with SAS C H A P T E R 1 Writing Rports with SAS Prsnting information in a way that s undrstood by th audinc is fundamntally important to anyon s job. Onc you collct your data and undrstand its structur, you nd

More information

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000 hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails

More information

Version 1.0. General Certificate of Education (A-level) January 2012. Mathematics MPC3. (Specification 6360) Pure Core 3. Final.

Version 1.0. General Certificate of Education (A-level) January 2012. Mathematics MPC3. (Specification 6360) Pure Core 3. Final. Vrsion.0 Gnral Crtificat of Education (A-lvl) January 0 Mathmatics MPC (Spcification 660) Pur Cor Final Mark Schm Mark schms ar prpard by th Principal Eaminr and considrd, togthr with th rlvant qustions,

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

Lecture 20: Emitter Follower and Differential Amplifiers

Lecture 20: Emitter Follower and Differential Amplifiers Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.

More information

Establishing Wireless Conference Calls Under Delay Constraints

Establishing Wireless Conference Calls Under Delay Constraints Establishing Wirlss Confrnc Calls Undr Dlay Constraints Aotz Bar-Noy aotz@sci.brooklyn.cuny.du Grzgorz Malwicz grg@cs.ua.du Novbr 17, 2003 Abstract A prvailing fatur of obil tlphony systs is that th cll

More information

Section 7.4: Exponential Growth and Decay

Section 7.4: Exponential Growth and Decay 1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 1-17 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart

More information

Architecture of the proposed standard

Architecture of the proposed standard Architctur of th proposd standard Introduction Th goal of th nw standardisation projct is th dvlopmnt of a standard dscribing building srvics (.g.hvac) product catalogus basd on th xprincs mad with th

More information

WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769

WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769 08-16-85 WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769 Summary of Dutis : Dtrmins City accptanc of workrs' compnsation cass for injurd mploys; authorizs appropriat tratmnt

More information

Rent, Lease or Buy: Randomized Algorithms for Multislope Ski Rental

Rent, Lease or Buy: Randomized Algorithms for Multislope Ski Rental Rnt, Las or Buy: Randomizd Algorithms for Multislop Ski Rntal Zvi Lotkr zvilo@cs.bgu.ac.il Dpt. of Comm. Systms Enginring Bn Gurion Univrsity Br Shva Isral Boaz Patt-Shamir Dror Rawitz {boaz, rawitz}@ng.tau.ac.il

More information

Category 7: Employee Commuting

Category 7: Employee Commuting 7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil

More information

Theoretical aspects of investment demand for gold

Theoretical aspects of investment demand for gold Victor Sazonov (Russia), Dmitry Nikolav (Russia) Thortical aspcts of invstmnt dmand for gold Abstract Th main objctiv of this articl is construction of a thortical modl of invstmnt in gold. Our modl is

More information

ICES REPORT 15-01. January 2015. The Institute for Computational Engineering and Sciences The University of Texas at Austin Austin, Texas 78712

ICES REPORT 15-01. January 2015. The Institute for Computational Engineering and Sciences The University of Texas at Austin Austin, Texas 78712 ICES REPORT 15-01 January 2015 A locking-fr modl for Rissnr-Mindlin plats: Analysis and isogomtric implmntation via NURBS and triangular NURPS by L. Birao da Viga, T.J.R. Hughs, J. Kindl, C. Lovadina,

More information

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List.

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List. Elmntary Rndring Elmntary rastr algorithms for fast rndring Gomtric Primitivs Lin procssing Polygon procssing Managing OpnGL Stat OpnGL uffrs OpnGL Gomtric Primitivs ll gomtric primitivs ar spcifid by

More information

SPECIAL VOWEL SOUNDS

SPECIAL VOWEL SOUNDS SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)

More information

Remember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D

Remember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D 24+ Advancd Larning Loan Application form Rmmbr you can apply onlin. It s quick and asy. Go to www.gov.uk/advancdlarningloans About this form Complt this form if: you r studying an ligibl cours at an approvd

More information

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman Cloud and Big Data Summr Scool, Stockolm, Aug., 2015 Jffry D. Ullman Givn a st of points, wit a notion of distanc btwn points, group t points into som numbr of clustrs, so tat mmbrs of a clustr ar clos

More information

Budget Optimization in Search-Based Advertising Auctions

Budget Optimization in Search-Based Advertising Auctions Budgt Optimization in Sarch-Basd Advrtising Auctions ABSTRACT Jon Fldman Googl, Inc. Nw York, NY jonfld@googl.com Martin Pál Googl, Inc. Nw York, NY mpal@googl.com Intrnt sarch companis sll advrtismnt

More information

STATEMENT OF INSOLVENCY PRACTICE 3.2

STATEMENT OF INSOLVENCY PRACTICE 3.2 STATEMENT OF INSOLVENCY PRACTICE 3.2 COMPANY VOLUNTARY ARRANGEMENTS INTRODUCTION 1 A Company Voluntary Arrangmnt (CVA) is a statutory contract twn a company and its crditors undr which an insolvncy practitionr

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig

More information

SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM

SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM RESEARCH PAPERS IN MANAGEMENT STUDIES SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM M.A.H. Dmpstr & S.S.G. Hong WP 26/2000 Th Judg Institut of Managmnt Trumpington Strt Cambridg CB2 1AG Ths paprs

More information

Foreign Exchange Markets and Exchange Rates

Foreign Exchange Markets and Exchange Rates Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls

More information

Job shop scheduling with unit processing times

Job shop scheduling with unit processing times Job shop schduling with unit procssing tims Nikhil Bansal Tracy Kimbrl Maxim Sviridnko Abstract W considr randomizd algorithms for th prmptiv job shop problm, or quivalntly, th cas in which all oprations

More information

June 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8

June 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8 Jun 22 Enpris Rnt Author: Documnt Vrsion: Product: Product Vrsion: SAP Vrsion: Enpris Enpris Rnt 88 88 Enpris Rnt 22 Enpris Solutions All rights rsrvd No parts of this work may b rproducd in any form or

More information

Analyzing the Economic Efficiency of ebaylike Online Reputation Reporting Mechanisms

Analyzing the Economic Efficiency of ebaylike Online Reputation Reporting Mechanisms A rsarch and ducation initiativ at th MIT Sloan School of Managmnt Analyzing th Economic Efficincy of Baylik Onlin Rputation Rporting Mchanisms Papr Chrysanthos Dllarocas July For mor information, plas

More information

Chapter 10 Function of a Matrix

Chapter 10 Function of a Matrix EE448/58 Vrsion. John Stnsby Chatr Function of a atrix t f(z) b a comlx-valud function of a comlx variabl z. t A b an n n comlxvalud matrix. In this chatr, w giv a dfinition for th n n matrix f(a). Also,

More information

Free ACA SOLUTION (IRS 1094&1095 Reporting)

Free ACA SOLUTION (IRS 1094&1095 Reporting) Fr ACA SOLUTION (IRS 1094&1095 Rporting) Th Insuranc Exchang (301) 279-1062 ACA Srvics Transmit IRS Form 1094 -C for mployrs Print & mail IRS Form 1095-C to mploys HR Assist 360 will gnrat th 1095 s for

More information

Policies for Simultaneous Estimation and Optimization

Policies for Simultaneous Estimation and Optimization Policis for Simultanous Estimation and Optimization Migul Sousa Lobo Stphn Boyd Abstract Policis for th joint idntification and control of uncrtain systms ar prsntd h discussion focuss on th cas of a multipl

More information

Electronic Commerce. and. Competitive First-Degree Price Discrimination

Electronic Commerce. and. Competitive First-Degree Price Discrimination Elctronic Commrc and Comptitiv First-Dgr Pric Discrimination David Ulph* and Nir Vulkan ** Fbruary 000 * ESRC Cntr for Economic arning and Social Evolution (ESE), Dpartmnt of Economics, Univrsity Collg

More information

The price of liquidity in constant leverage strategies. Marcos Escobar, Andreas Kiechle, Luis Seco and Rudi Zagst

The price of liquidity in constant leverage strategies. Marcos Escobar, Andreas Kiechle, Luis Seco and Rudi Zagst RACSAM Rv. R. Acad. Cin. Sri A. Mat. VO. 103 2, 2009, pp. 373 385 Matmática Aplicada / Applid Mathmatics Th pric of liquidity in constant lvrag stratgis Marcos Escobar, Andras Kichl, uis Sco and Rudi Zagst

More information

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd

More information

The Constrained Ski-Rental Problem and its Application to Online Cloud Cost Optimization

The Constrained Ski-Rental Problem and its Application to Online Cloud Cost Optimization 3 Procdings IEEE INFOCOM Th Constraind Ski-Rntal Problm and its Application to Onlin Cloud Cost Optimization Ali Khanafr, Murali Kodialam, and Krishna P. N. Puttaswam Coordinatd Scinc Laborator, Univrsit

More information

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers)

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers) Intrmdiat Macroconomic Thory / Macroconomic Analysis (ECON 3560/5040) Final Exam (Answrs) Part A (5 points) Stat whthr you think ach of th following qustions is tru (T), fals (F), or uncrtain (U) and brifly

More information

Incomplete 2-Port Vector Network Analyzer Calibration Methods

Incomplete 2-Port Vector Network Analyzer Calibration Methods Incomplt -Port Vctor Ntwork nalyzr Calibration Mthods. Hnz, N. Tmpon, G. Monastrios, H. ilva 4 RF Mtrology Laboratory Instituto Nacional d Tcnología Industrial (INTI) Bunos irs, rgntina ahnz@inti.gov.ar

More information

GOAL SETTING AND PERSONAL MISSION STATEMENT

GOAL SETTING AND PERSONAL MISSION STATEMENT Prsonal Dvlopmnt Track Sction 4 GOAL SETTING AND PERSONAL MISSION STATEMENT Ky Points 1 Dfining a Vision 2 Writing a Prsonal Mission Statmnt 3 Writing SMART Goals to Support a Vision and Mission If you

More information

Basis risk. When speaking about forward or futures contracts, basis risk is the market

Basis risk. When speaking about forward or futures contracts, basis risk is the market Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also

More information

An International Journal of the Polish Statistical Association

An International Journal of the Polish Statistical Association STATISTICS IN TRANSITION nw sris An Intrnational Journal of th Polish Statistical Association CONTENTS From th Editor... Submission information for authors... 5 Sampling mthods and stimation CIEPIELA P.,

More information

Degrees that are not degrees of categoricity

Degrees that are not degrees of categoricity Degrees that are not degrees of categoricity Bernard A. Anderson Department of Mathematics and Physical Sciences Gordon State College banderson@gordonstate.edu www.gordonstate.edu/faculty/banderson Barbara

More information

There is no degree invariant half-jump

There is no degree invariant half-jump There is no degree invariant half-jump Rod Downey Mathematics Department Victoria University of Wellington P O Box 600 Wellington New Zealand Richard A. Shore Mathematics Department Cornell University

More information

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective Ovrviw Lctur 4 Projctions - 3D Viwing Projctions Paralll Prspctiv 3D Viw Volum 3D Viwing Transformation Camra Modl - Assignmnt 2 OFF fils 3D mor compl than 2D On mor dimnsion Displa dvic still 2D Analog

More information

AP Calculus Multiple-Choice Question Collection 1969 1998. connect to college success www.collegeboard.com

AP Calculus Multiple-Choice Question Collection 1969 1998. connect to college success www.collegeboard.com AP Calculus Multipl-Choic Qustion Collction 969 998 connct to collg succss www.collgboard.com Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos

More information

Testing the gravitational properties of the quantum vacuum within the Solar System

Testing the gravitational properties of the quantum vacuum within the Solar System Tsting th gravitational proprtis of th quantum vacuum within th Solar Systm Dragan Hajdukovic To cit this vrsion: Dragan Hajdukovic. Tsting th gravitational proprtis of th quantum vacuum within th Solar

More information

union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME!

union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME! union scholars YOU CAN CHANGE THE WORLD... program AND EARN MONEY FOR COLLEGE AT THE SAME TIME! AFSCME Unitd Ngro Collg Fund Harvard Univrsity Labor and Worklif Program APPLICATION DEADLINE: FEBRUARY 28

More information

IMES DISCUSSION PAPER SERIES

IMES DISCUSSION PAPER SERIES IMES DISCUSSIN PAPER SERIES Th Choic of Invoic Currncy in Intrnational Trad: Implications for th Intrnationalization of th Yn Hiroyuki I, Akira TANI, and Toyoichirou SHIRTA Discussion Papr No. 003-E-13

More information

Closed-form solutions for Guaranteed Minimum Accumulation Benefits

Closed-form solutions for Guaranteed Minimum Accumulation Benefits Closd-form solutions for Guarantd Minimum Accumulation Bnfits Mikhail Krayzlr, Rudi Zagst and Brnhard Brunnr Abstract Guarantd Minimum Accumulation Bnfit GMAB is on of th variabl annuity products, i..

More information

On the moments of the aggregate discounted claims with dependence introduced by a FGM copula

On the moments of the aggregate discounted claims with dependence introduced by a FGM copula On th momnts of th aggrgat discountd claims with dpndnc introducd by a FGM copula - Mathiu BARGES Univrsité Lyon, Laboratoir SAF, Univrsité Laval - Hélèn COSSETTE Ecol Actuariat, Univrsité Laval, Québc,

More information

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST: .4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This

More information

Sci.Int.(Lahore),26(1),131-138,2014 ISSN 1013-5316; CODEN: SINTE 8 131

Sci.Int.(Lahore),26(1),131-138,2014 ISSN 1013-5316; CODEN: SINTE 8 131 Sci.Int.(Lahor),26(1),131-138,214 ISSN 113-5316; CODEN: SINTE 8 131 REQUIREMENT CHANGE MANAGEMENT IN AGILE OFFSHORE DEVELOPMENT (RCMAOD) 1 Suhail Kazi, 2 Muhammad Salman Bashir, 3 Muhammad Munwar Iqbal,

More information

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS 25 Vol. 3 () January-March, pp.37-5/tripathi EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS *Shilpa Tripathi Dpartmnt of Chmical Enginring, Indor Institut

More information

A Theoretical Model of Public Response to the Homeland Security Advisory System

A Theoretical Model of Public Response to the Homeland Security Advisory System A Thortical Modl of Public Rspons to th Homland Scurity Advisory Systm Amy (Wnxuan) Ding Dpartmnt of Information and Dcision Scincs Univrsity of Illinois Chicago, IL 60607 wxding@uicdu Using a diffrntial

More information

TIME MANAGEMENT. 1 The Process for Effective Time Management 2 Barriers to Time Management 3 SMART Goals 4 The POWER Model e. Section 1.

TIME MANAGEMENT. 1 The Process for Effective Time Management 2 Barriers to Time Management 3 SMART Goals 4 The POWER Model e. Section 1. Prsonal Dvlopmnt Track Sction 1 TIME MANAGEMENT Ky Points 1 Th Procss for Effctiv Tim Managmnt 2 Barrirs to Tim Managmnt 3 SMART Goals 4 Th POWER Modl In th Army, w spak of rsourcs in trms of th thr M

More information

Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009

Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009 Volum 3, Issu 1, 29 Statistical Approach for Analyzing Cll Phon Handoff Bhavior Shalini Saxna, Florida Atlantic Univrsity, Boca Raton, FL, shalinisaxna1@gmail.com Sad A. Rajput, Farquhar Collg of Arts

More information

Quantum Graphs I. Some Basic Structures

Quantum Graphs I. Some Basic Structures Quantum Graphs I. Som Basic Structurs Ptr Kuchmnt Dpartmnt of Mathmatics Txas A& M Univrsity Collg Station, TX, USA 1 Introduction W us th nam quantum graph for a graph considrd as a on-dimnsional singular

More information

Keywords Cloud Computing, Service level agreement, cloud provider, business level policies, performance objectives.

Keywords Cloud Computing, Service level agreement, cloud provider, business level policies, performance objectives. Volum 3, Issu 6, Jun 2013 ISSN: 2277 128X Intrnational Journal of Advancd Rsarch in Computr Scinc and Softwar Enginring Rsarch Papr Availabl onlin at: wwwijarcsscom Dynamic Ranking and Slction of Cloud

More information

Combinatorial Prediction Markets for Event Hierarchies

Combinatorial Prediction Markets for Event Hierarchies Combinatorial rdiction Markts for Evnt Hirarchis Mingyu Guo Duk Univrsity Dpartmnt of Computr Scinc Durham, NC, USA mingyu@cs.duk.du David M. nnock Yahoo! Rsarch 111 W. 40th St. 17th Floor Nw York, NY

More information

SOFTWARE ENGINEERING AND APPLIED CRYPTOGRAPHY IN CLOUD COMPUTING AND BIG DATA

SOFTWARE ENGINEERING AND APPLIED CRYPTOGRAPHY IN CLOUD COMPUTING AND BIG DATA Intrnational Journal on Tchnical and Physical Problms of Enginring (IJTPE) Publishd by Intrnational Organization of IOTPE ISSN 077-358 IJTPE Journal www.iotp.com ijtp@iotp.com Sptmbr 015 Issu 4 Volum 7

More information

User-Perceived Quality of Service in Hybrid Broadcast and Telecommunication Networks

User-Perceived Quality of Service in Hybrid Broadcast and Telecommunication Networks Usr-Prcivd Quality of Srvic in Hybrid Broadcast and Tlcommunication Ntworks Michal Galtzka Fraunhofr Institut for Intgratd Circuits Branch Lab Dsign Automation, Drsdn, Grmany Michal.Galtzka@as.iis.fhg.d

More information

Cost-Volume-Profit Analysis

Cost-Volume-Profit Analysis ch03.qxd 9/7/04 4:06 PM Pag 86 CHAPTER Cost-Volum-Profit Analysis In Brif Managrs nd to stimat futur rvnus, costs, and profits to hlp thm plan and monitor oprations. Thy us cost-volum-profit (CVP) analysis

More information

Defining Retirement Success for Defined Contribution Plan Sponsors: Begin with the End in Mind

Defining Retirement Success for Defined Contribution Plan Sponsors: Begin with the End in Mind Dfining Rtirmnt Succss for Dfind Contribution Plan Sponsors: Bgin with th End in Mind David Blanchtt, CFA, CFP, AIFA Had of Rtirmnt Rsarch Morningstar Invstmnt Managmnt david.blanchtt@morningstar.com Nathan

More information

Expert-Mediated Search

Expert-Mediated Search Exprt-Mdiatd Sarch Mnal Chhabra Rnsslar Polytchnic Inst. Dpt. of Computr Scinc Troy, NY, USA chhabm@cs.rpi.du Sanmay Das Rnsslar Polytchnic Inst. Dpt. of Computr Scinc Troy, NY, USA sanmay@cs.rpi.du David

More information

Type Inference and Optimisation for an Impure World.

Type Inference and Optimisation for an Impure World. Typ Infrnc and Optimisation for an Impur World. Bn Lippmir DRAFT Jun, 2009 A thsis submittd for th dgr of Doctor of Philosophy of th Australian National Univrsity 2 Dclaration Th work in this thsis is

More information

Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling

Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling Planning and Managing Coppr Cabl Maintnanc through Cost- Bnfit Modling Jason W. Rup U S WEST Advancd Tchnologis Bouldr Ky Words: Maintnanc, Managmnt Stratgy, Rhabilitation, Cost-bnfit Analysis, Rliability

More information

est with berkeley / uc berkeley exte xtension / be your best with berkel

est with berkeley / uc berkeley exte xtension / be your best with berkel c rkley xtnsion yor st rkly c rkley xtnsion st with rkly c rkley xt Post-Baccalarat yor st Program with for rkly c rk xtnsion yor st with rkl c rkley xtnsion yor st rkly Consling c rkley and xtnsion st

More information

A Graph-based Proactive Fault Identification Approach in Computer Networks

A Graph-based Proactive Fault Identification Approach in Computer Networks A Graph-basd Proacti Fault Idntification Approach in Computr Ntworks Yijiao Yu, Qin Liu and Lianshng Tan * Dpartmnt of Computr Scinc, Cntral China Normal Unirsity, Wuhan 4379 PR China E-mail: yjyu, liuqin,

More information

Contextual Domain Knowledge for Incorporation in Data Mining Systems

Contextual Domain Knowledge for Incorporation in Data Mining Systems Contxtual Doain for Incorporation in Data Mining Systs Alx G. Büchnr *, John G. Hughs * and David A. Bll * Northrn Irland Enginring Laboratory, Univrsity of Ulstr School of Inforation and Softwar Enginring,

More information

Who uses our services? We have a growing customer base. with institutions all around the globe.

Who uses our services? We have a growing customer base. with institutions all around the globe. not taking xpr Srvic Guid 2013 / 2014 NTE i an affordabl option for audio to txt convrion. Our rvic includ not or dirct trancription rvic from prviouly rcordd audio fil. Our rvic appal pcially to tudnt

More information

WARING S PROBLEM RESTRICTED BY A SYSTEM OF SUM OF DIGITS CONGRUENCES

WARING S PROBLEM RESTRICTED BY A SYSTEM OF SUM OF DIGITS CONGRUENCES WARING S PROBLEM RESTRICTED BY A SYSTEM OF SUM OF DIGITS CONGRUENCES OLIVER PFEIFFER AND JÖRG M. THUSWALDNER Abstract. Th aim of th prsnt papr is to gnraiz arir work by Thuswadnr and Tichy on Waring s

More information

Online Price Competition within and between Heterogeneous Retailer Groups

Online Price Competition within and between Heterogeneous Retailer Groups Onlin Pric Comptition within and btwn Htrognous Rtailr Groups Cnk Kocas Dpartmnt of Markting and Supply Chain Managmnt, Michigan Stat Univrsity kocas@msu.du Abstract This study prsnts a modl of pric comptition

More information

METHODS FOR HANDLING TIED EVENTS IN THE COX PROPORTIONAL HAZARD MODEL

METHODS FOR HANDLING TIED EVENTS IN THE COX PROPORTIONAL HAZARD MODEL STUDIA OECONOMICA POSNANIENSIA 204, vol. 2, no. 2 (263 Jadwiga Borucka Warsaw School of Economics, Institut of Statistics and Dmography, Evnt History and Multilvl Analysis Unit jadwiga.borucka@gmail.com

More information

Gold versus stock investment: An econometric analysis

Gold versus stock investment: An econometric analysis Intrnational Journal of Dvlopmnt and Sustainability Onlin ISSN: 268-8662 www.isdsnt.com/ijds Volum Numbr, Jun 202, Pag -7 ISDS Articl ID: IJDS20300 Gold vrsus stock invstmnt: An conomtric analysis Martin

More information

Financial Mathematics

Financial Mathematics Financial Mathatics A ractical Guid for Actuaris and othr Businss rofssionals B Chris Ruckan, FSA & Jo Francis, FSA, CFA ublishd b B rofssional Education Solutions to practic qustions Chaptr 7 Solution

More information

Scheduling and Rostering. Marco Kuhlmann & Guido Tack Lecture 7

Scheduling and Rostering. Marco Kuhlmann & Guido Tack Lecture 7 Schduling and Rostring Marco Kuhlann & Guido Tack Lctur Th story so ar Modlling in Gcod/J Foral rawork or constraint prograing Propagation, global constraints Sarch Th story so ar Modlling in Gcod/J Foral

More information

Logo Design/Development 1-on-1

Logo Design/Development 1-on-1 Logo Dsign/Dvlopmnt 1-on-1 If your company is looking to mak an imprssion and grow in th marktplac, you ll nd a logo. Fortunatly, a good graphic dsignr can crat on for you. Whil th pric tags for thos famous

More information

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model Gn. Mah. Nos, Vol. 9, No. 2, Dcmbr, 23, pp. 4- ISSN 229-784; Copyrigh ICSRS Publicaion, 23 www.i-csrs.org Availabl fr onlin a hp://www.gman.in Numrical Algorihm for h Sochasic Prsn Valu of Aggrga Claims

More information