Degrees that are not degrees of categoricity
|
|
|
- Emily Wilkins
- 10 years ago
- Views:
Transcription
1 Degrees that are not degrees of categoricity Bernard A. Anderson Department of Mathematics and Physical Sciences Gordon State College Barbara F. Csima Department of Pure Mathematics University of Waterloo csima Abstract A computable structure A is x-computably categorical for some Turing degree x, if for every computable structure B = A there is an isomorphism f : B A with f T x. A degree x is a degree of categoricity if there is a computable structure A such that A is x-computably categorical, and for all y, if A is y-computably categorical then x T y. We construct a Σ 0 2 set whose degree is not a degree of categoricity. We also demonstrate a large class of degrees that are not degrees of categoricity by showing that every degree of a set which is 2-generic relative to some perfect tree is not a degree of categoricity. Finally, we prove that every noncomputable hyperimmune-free degree is not a degree of categoricity. 1 Introduction Classically, isomorphic structures are considered to be equivalent. In computable structure theory, one has to be more careful. Different copies of the same structure may have different complexity, and for some structures, it can happen that there are two computable copies of the structure between which there is no computable isomorphism. In fact, for situations where this does not happen, we have the following definition. Definition 1. A computable structure A is computably categorical if for all computable B = A there exists a computable isomorphism between A and B. B. Csima was partially supported by Canadian NSERC Discovery Grant
2 For example, any two computable dense linear orders without endpoints are computably isomorphic. Thus, any computable dense linear order without endpoints is computably categorical. On the other hand, it is well known that the structure (N, <), the natural numbers with the usual < order, is not computably categorical. Indeed, let {K s } s ω be a computable enumeration of where there is exactly one element enumerated at each stage, and consider the order A where the even numbers have their usual order and 2n < A 2s + 1 < A 2n + 2 iff n K s+1 K s. Note that any isomorphism f : A N computes. Conversely, between any two computable copies of (N, <) there is a -computable isomorphism. That is, it seems that 0 is the degree of difficulty associated to the problem of computing isomorphisms between arbitrary copies of (N, <). This motivates the following definitions. Definition 2. A computable structure A is d-computably categorical if for all computable B = A there exists a d-computable isomorphism between A and B. So with this definition, (N, <) is 0 -computably categorical. Definition 3. We say a structure A has degree of categoricity d if A is d- computably categorical, and for all c such that A is c-computably categorical, d c. We say a degree d is a degree of categoricity if there is some structure with degree of categoricity d. So in our examples, we have seen that 0 and 0 are degrees of categoricity. The notion of a degree of categoricity was first introduced by Fokina, Kalimullin and Miller in [3]. In that paper, they showed that if d is d.c.e. in and above 0 (n), then d is a degree of categoricity. They also showed that 0 (ω) is a degree of categoricity. In fact, all the examples they constructed had the following, stronger property. Definition 4. A degree of categoricity d is a strong degree of categoricity if there is a structure A with computable copies A 0 and A 1 such that d is the degree of categoricity for A, and every isomorphism f : A 0 A 1 satisfies deg(f) d. Fokina, Kalimullin and Miller [3] showed that all strong degrees of categoricity are hyperarithmetical. Later, Csima, Franklin and Shore [2] showed that in fact all degrees of categoricity are hyperarithmetical. This may or may not be an improvement, as it is unknown whether all degrees of categoricity are strong. Csima, Franklin and Shore [2] have shown that for every computable ordinal α, 0 (α) is a (strong) degree of categoricity. They also showed that if α is a computable successor ordinal and d is d.c.e. in and above 0 (α), then d is a (strong) degree of categoricity. The work on degrees of categoricity so far has gone into showing that various degrees are degrees of categoricity. In this paper we address the question: What are examples of degrees that are not degrees of categoricity? Certainly, as there are only countably many computable structures, there are only countably many 2
3 degrees of categoricity. In section 3, we give a basic construction of a degree below 0 that is not a degree of categoricity. In section 4 we show that degrees of 2-generics (indeed, of 2-generics relative to perfect trees) are not degrees of categoricity. In section 5 we show that noncomputable hyperimmune-free degrees cannot be degrees of categoricity. Finally, in section 6, we show that there exists a Σ 0 2 degree that is not a degree of categoricity. 2 Notation For general references, see Harizanov [4] for computable structure theory, and Soare [7] for computability theory. We use T to denote a tree (a subset of 2 <ω closed under initial segments). All other uppercase letters are used for subsets of the natural numbers and lowercase bold letters are used for Turing degrees. We use α, β, σ, and τ to represent strings (elements of 2 <ω ). When dealing with strings, denotes string extension. For A N and n ω, we let A n = {x A x < n} and let A n = {x A x n}, with analogous definitions of σ n and σ n for σ 2 <ω. We have Φ n denote the n-th oracle Turing reduction and ϕ n the n-th Turing reduction. We use calligraphic letters (A, B, M) to denote computable structures. We let A n denote the n-th partial computable structure under some effective listing. For simplicity, we assume all computable structures have domain ω or an initial segment of ω. We also assume all structures are in a finite language. We let Part(A, B) denote the set of partial isomorphisms between A and B. That is, the set of functions that, on their domain/range, are injective homomorphisms from a substructure of A to a substructure of B. Note that if A i and A j are computable structures according to our listing, then if for some σ and some t we have Φ σ e,t Part(A i,t, A j,t ), then for all A σ, Φ A e Part(A i, A j ). Also, if f is a bijection such that for all n, f n Part(A, B), then f : A = B. For σ, τ 2 <ω we write σ < L τ if σ τ or if there is some n such that σ(n) = 0, τ(n) = 1, and for all k < n, σ(k) = τ(k). That is, if σ comes before τ in the usual lexicographical order. We say a set A is left-c.e. if there is a computable sequence α s 2 <ω, where A(n) = lim s α s (n), and for all s, α s < L α s+1. Left c.e. sets have been studied extensively in the area of algorithmic randomness (see Nies [6]). It is easy to see that all c.e. sets are also left-c.e. The converse does not hold. However, every left-c.e. set is Turing equivalent to a c.e. set (since A T {σ σ < L A}), and it is this feature of left-c.e. sets that we will make use of. Finally, we use the following definition. Definition 5. Let A be a computable structure. We define CatSpec(A) to be the set of degrees d such that A is d-computably categorical. 3
4 3 Basic construction It will follow from several of the results in this paper that there is a degree x T 0 which is not a degree of categoricity. However we will briefly sketch a proof of this fact here, since the ideas we use are expanded on in the proofs in sections 4 and 6. For the proof, we will construct a noncomputable set X such that for all m, k either X does not compute an isomorphism from A m to A k, or there is a computable isomorphism from A m to A k. Given the construction, suppose the degree x of X is a degree of categoricity, witnessed by A. Let B be an arbitrary computable copy of A. Since A is x-computably categorical, X computes an isomorphism from B to A. By the construction, there is then a computable isomorphism from B to A. Since B was arbitrary, A is computably categorical, for a contradiction. We will build X by finite extensions using a oracle. At each stage we will use the oracle to try to extend X to block some Φ X l from being an isomorphism. If such a block is not possible, we will argue that a computable isomorphism can be found. Proposition 3.1. There is a degree x T categoricity. 0 such that x is not a degree of Proof (sketch). We build X by finite extensions using a oracle. We start with X 0 =. For stage s + 1, we will ensure that either Φ X l is not an isomorphism from A m to A k or there is a computable isomorphism from A m to A k, where s = l, m, k. We start stage s + 1 by using to diagonalize against X being computable by ϕ s. We then use to determine if there is a σ X s and a time t such that Φ σ l,t can be seen not to be an injective homomorphism from A m to A k. If there is, we let X s+1 = σ and proceed to the next stage. If there is not, we ask if there exists σ X s and n ω such that for all τ σ we have Φ τ l omits n from its domain or range. If such a σ exists, we note Φ Y l is not an isomorphism for any Y σ, so we let X s+1 = σ. If the answer to both questions is no, then for any γ X s we have that Φ γ l is a partial injective homomorphism and for every n there is a τ γ with n in the domain and range of Φ τ l. Note this τ also extends X s, so these properties also hold for τ. We let α 0 = X s and α n+1 be the first extension of α n which puts n into the domain and range of Φ αn+1 l. Letting A = n ω α n and f = Φ A l, we have that f is a computable isomorphism from A m to A k. Thus we let X s+1 = X s and move to the next stage. This completes our construction of X. We have X T, and as noted in the explanation before the proof, the degree x of X is not a degree of categoricity. 4
5 4 2-generic relative to some perfect tree We wish to generalize Proposition 3.1 to show that a large class of sets have degrees that are not degrees of categoricity. To do this we will use the concept of sets that are n-generic relative to some perfect tree. Recall a set G is n-generic if for every Σ 0 n set, either it meets the set or some initial segment cannot be extended to meet the set. Definition 6. A set G is n-generic if for every Σ 0 n subset S of 2 <ω, either there is an l such that G l S, or there is an l such that for all σ G l we have σ / S. We relativize this notion from 2 <ω to a perfect tree. Definition 7. A set G is n-generic relative to the perfect tree T if G is a path through T and for every Σ 0 n(t ) subset S of 2 <ω, either there is an l such that G l S, or there is an l such that for all σ G l with σ T we have σ / S. Definition 8. A set G is n-generic relative to some perfect tree if there exists a perfect tree T such that G is n-generic relative to T. It has been shown that almost all sets are 2-generic relative to some perfect tree. Theorem 4.1 (Anderson [1]). For any n, all but countably many sets are n- generic relative to some perfect tree. We will prove that every degree containing a set that is 2-generic relative to some perfect tree is not a degree of categoricity. As a result we are able to limit the degrees of categoricity to an easily defined countable class (distinct from HYP). It will follow as a corollary that for any degree x there is a degree y with x T y T x such that y is not a degree of categoricity. We can view the proof of our theorem as the proof to Proposition 3.1 relativized twice, in successive stages. We first relativize the proof from a single 0 3 set to any 2-generic set. The idea is that if G computes an isomorphism then we can find an initial segment G l such that for every extension of G l the answer to both of the questions we ask in the original proof is no. We can then build a computable isomorphism as in the original proof. We next relativize from every 2-generic to every 2-generic relative to an arbitrary perfect tree T. The key here is that the proof of Proposition 3.1 is stronger than required. In the original proof, we show that if G computes an isomorphism then there is a computable one. It suffices to fix some H T G such that if G computes an isomorphism then so does H. When we relativize to T we obtain this for T in the place of H. Theorem 4.2. Let G be 2-generic relative to some perfect tree. Then the degree of G is not a degree of categoricity. 5
6 Proof. Let G be 2-generic relative to the perfect tree T. Suppose the degree of G is a degree of categoricity, witnessed by A. Let B be an arbitrary computable structure such that A is isomorphic to B. We will show there is an isomorphism f : A B with f T T. Since our choice of B is arbitrary, we can then conclude T CatSpec(A), so T T G for a contradiction. Let Ψ be such that Ψ G is an isomorphism from A to B. Let R s be the set of strings σ such that Ψ σ s contains values contradicting it being a partial injective homomorphism from A to B, i.e. Ψ σ s / Part(A, B). We note R s is (uniformly) computable. Let S = {σ 2 <ω n s τ T [τ σ (τ R s n / dom(ψ τ s) n / ran(ψ τ s))]} We note S is Σ 0 2(T ). Suppose for some j we have G j S, witnessed by n. Since Ψ G is an isomorphism from A to B, let m > j and s be large enough so that n is in the domain and range of Ψ G m s. Then letting τ be G m we have G m R s, contradicting Ψ G being an isomorphism. We conclude that G does not meet S. By genericity, there is an l such that for all σ T with σ G l we have σ / S. Hence we have: σ T [σ G l n s τ T [τ σ τ / R s n dom(ψ τ s) n ran(ψ τ s)]] (1) We can now construct our isomorphism f : A B with f T T to complete the proof. We will T -computably build A = i ω α i so that f = Ψ A. Let α 0 be G l. Given α i, let α i+1 be the first τ we find satisfying (1) with i for n and α i for σ. We note that every α i G l (and α i T ), so finding a τ which satisfies (1) is always possible. This completes our construction. We note A T T so f T T. From the construction it is clear that f is total and surjective. To show that f is an isomorphism, it suffices to show that for all i and t we have α i / R t. Suppose α i R t for some i, t. Let j > i be sufficiently large such that j dom(ψ A s ) requires s > t. We then have α j / R s for some s > t so α j / R t. Since α i α j we have α i / R t for a contradiction. We conclude that for all i, t, we have α i / R t. Thus f is an isomorphism from A to B. As noted at the start of the proof, this implies G T T for a contradiction. We conclude G is not a degree of categoricity. Corollary 4.3. Let A be a set and let G be 2-generic(A). Then the degree of G A is not a degree of categoricity. Proof. Let T = {σ 2 <ω τ 2 <ω [σ τ A]}. Then G A is 2-generic relative to T so by Theorem 4.2, the degree of G A is not a degree of categoricity. Corollary 4.4. Let x be any Turing degree. Then there exists y with x T y T x such that y is not a degree of categoricity. 6
7 Proof. Let X be a set of degree x and let G T X be 2-generic(X). Let y be the degree of X G. Then x T y T x and by Corollary 4.3, y is not a degree of categoricity. 5 Hyperimmune-free Recall that a degree y is hyperimmune-free if every function f T y can be bounded by a computable function (see [7]). We note that all known degrees of categoricity x are such that 0 (γ) T x T 0 (γ+1) for some ordinal γ, and hence are hyperimmune (or computable). This suggests the question, is there a (noncomputable) degree of categoricity which is hyperimmune-free? We show that no such degree exists. Theorem 5.1. Let b be a noncomputable hyperimmune-free degree. Then b is not a degree of categoricity. Proof. Let b be a noncomputable hyperimmune-free degree, and assume for a contradiction that b is a degree of categoricity. Let A witness that b is a degree of categoricity. Let B be an arbitrary computable structure such that A is isomorphic to B. We will show there is an isomorphism g : A B such that g T. Since B is arbitrary, we will then have 0 CatSpec(A). Hence b 0, contradicting b being noncomputable and hyperimmune-free. Therefore it suffices to show there exists such a g. Let f : ω ω be an isomorphism from A to B with f T b. We note since f is bijective, f 1 T b. Since b is hyperimmune-free, let h be a computable function which dominates f and f 1. We now use h to build an infinite computably bounded tree T ω <ω whose infinite paths code isomorphisms between A and B. Then [T ] must have a -computable member (indeed, a low member), so there exists g T with g : A = B as desired. The infinite paths through T will code isomorphisms by having the map from A to B on the even bits, and the inverse map on the odd bits. For σ ω <ω, let σ 0 (n) = σ(2n) and σ 1 (n) = σ(2n + 1). Let T be defined by: T = {σ ω <ω n length(σ)[[σ(n) h( n 2 )] σ 0 Part(A, B) σ 1 Part(B, A) (i j (σ i (σ j (n)) = n σ i (σ j (n)) ))]} Then T is a computably bounded tree. Let f(2n) = f(n) and f(2n + 1) = f 1 (n). Then f [T ], so T is infinite. Let g T be such that g T. Let g(n) = g(2n). Then g T g T and g : A = B as desired. 6 Σ 0 2 degree Theorem 6.1. There is a Σ 0 2 degree that is not a degree of categoricity. 7
8 Proof. We build a set D with Σ 0 2-degree d that is not a degree of categoricity. This time, instead of a -oracle construction, we build D to be left-c.e. in. We again meet the requirements: R e,i,j : If Φ D e : A i = Aj then there is a computable isomorphism between A i and A j. If, for example, R e,i,j were the highest priority requirement, we would ask, ( σ 1)( t)(φ σ e,t Part(A i,t, A j,t )? If yes, we would extend to σ. If no, then (while letting δ 0 = 0 and also addressing other requirements) at all subsequent stages s we would ask, ( σ 1, σ = s)( k s)( τ σ)( t)(k domφ τ e,t k rngφ τ e,t)? If the answer is always yes, then we can use Φ e to build a computable isomorphism between A i and A j. If the answer is no at some stage, then at that stage we set δ s = σ such that Φ σ e cannot be extended to an isomorphism. This is a move that is left-c.e. in, and causes injury to lower priority requirements. We now give the formal construction. Of course, in addition to the R e,i,j requirements discussed above, we must also meet non-computability requirements: N e : D ϕ e. At each stage s, requirements of the form R e,i,j will either be unsatisfied, under consideration, or satisfied. Requirements of the form N e will either be unsatisfied or satisfied. The status of each requirement will change at most finitely often. We will have δ s denote the stage s approximation to D. We will either have δ s+1 δ s, or δ s+1 σ e,i,j where δ s δ k 0 and σ e,i,j δ k 1 for some k < s, so that the approximation will be left-c.e. in. Stage 0 : Set δ 0 =. Stage s+1=2m +1 : For each R e,i,j currently under consideration, in turn, ask, ( σ σ e,i,j, σ = s)( k s)( τ σ)( t)(k domφ τ e,t k rngφ τ e,t)? If there is a least R e,i,j for which the answer is no, then let δ s+1 σ e,i,j be such that ( k)( τ δ s+1 )(k domφ τ e k rngφ τ e). Declare R e,i,j to be satisfied. Declare N n and R n to be unsatisfied for all n > e, i, j, canceling any associated σ n for those R n that were under consideration. If the answer was always yes, let e, i, j be least such that R e,i,j is unsatisfied. Ask, ( σ δ s 1)( t)(φ σ e,t Part(A i,t, A j,t )? If the answer is yes, let δ s+1 have this property, and declare R e,i,j to be satisfied. If the answer is no, let σ e,i,j = δ s 1, let δ s+1 = δ s 0, and declare R e,i,j to be under consideration. Stage s+1=2m +2 : Let n be least such that N n is not satisfied. Use to determine whether ( t)(ϕ n,t ( δ s ) = 0). If yes, define δ s+1 = δ s 1. Otherwise, define δ s+1 = δ s 0. Declare N n to be satisfied. This completes the construction. Lemma 6.2. The approximation {δ s } s ω defines a set D that is left-c.e. in. Proof. The construction is -computable, so the sequence {δ s } s ω is -computable. We either have δ s+1 δ s, or we have δ s+1 σ e,i,k for some R e,i,k that was 8
9 under consideration at stage s+1. In the first case, certainly δ s < L δ s+1. In the second case, note that at the greatest stage t + 1 s where σ e,i,j was defined, we had let δ t+1 = δ t 0 and σ e,i,j = δ t 1. As R e,i,j remained under consideration between stages t + 1 and s + 1, there was no shift to σ k for any k e, i, j between stages t + 1 and s. It is easy to see by induction on t + 1 t s that δ t δ t+1 and that if σ n was defined at stage t then σ n δ t. So δ s δ t 0 and δ s+1 δ t 1. That is, the approximation {δ s } s ω is left-c.e. in. Lemma 6.3. For each n, there is a stage s after which the status of requirement R n ceases to change. Each requirement R n is met. Proof. Consider the requirement R e,i,j, and let s be the least stage by which the status of all R n for n < e, i, j cease to change. Note that R e,i,j had status unsatisfied at stage s. At stage s + 1, the status of R e,i,j becomes satisfied or under consideration. The only way for the status of R e,i,j to change back to unsatisfied would be if there was a change in status for some R n with n < e, i, j. So R e,i,j is never again unsatisfied. Suppose there is a stage greater than s where R e,i,j becomes satisfied. Let t be the least such stage. At stage t we set δ t such that Φ δt e Part(A i,t, A j,t ), or such that there exists k such that for all τ γ t, k domφ τ e or k rngφ τ e. Since there is no change in status for any R n with n < e, i, j beyond stage s, it is easy to see by induction on t > t that δ t δ t+1 and that if σ n was defined at stage t then σ n δ t. So D δ t and Φ D e Part(A i, A j ), i.e., R e,i,j is met, and indeed has the status satisfied at all stages beyond t. Suppose there is no stage greater than s where R e,i,j becomes satisfied. In this case, R e,i,j maintains status under consideration at all stages greater than s, and σ e,i,j does not change after it is defined at stage s + 1. We now show that R e,i,j is met, by building a computable isomorphism f : A i A j. First note that ( σ σ e,i,j )( t)(φ σ e,t Part(A i,t, A j,t )). Since R e,i,j remains under consideration at all stages n > s, ( σ σ e,i,j, σ = n)( k n)( τ σ)( t)(k domφ τ e,t k rngφ τ e,t). Let τ 0 = σ e,i,j. Given τ n, let τ n+1 τ n be such that n domφ τ e and n rngφ τ e, and τ n+1 n + 1. Since we know such τ n+1 exists, we can search and find such effectively. Let B = n ω τ n. Then B is computable, and Φ B e : A i = Aj. Lemma 6.4. The requirements N n are all met. Proof. We prove by induction on n that if s is the least stage when all requirements R i and N j for i n, j < n cease to change status, then N n is satisfied at all stages beyond stage s + 1. Indeed, suppose the result holds for k < n, and that R n obtains its final status for the first time at stage s. At stage s + 1, N n is either already satisfied, or receives attention and becomes satisfied. Since all the R k for k n do not change status after stage s, it is easy to see that D δ s+1, so N n remains satisfied beyond stage s
10 Remark 6.5. The set D constructed in Theorem 6.1 is such that D T. Proof. Fokina, Kalimullin, and Miller [3] showed that all degrees which are c.e.a. ( ) are degrees of categoricity. If we had D T then D would be c.e.a. ( ) for a contradiction. We note that since all Σ 0 2 degrees are hyperimmune, this implies there is a hyperimmune degree which is not a degree of categoricity [5]. 7 Conclusion Considerable ground remains open in finding how low in complexity a degree can be without being a degree of categoricity. On one side, it is not known if there is a 0 2 degree which is not a degree of categoricity. On the other side, it has not been shown that every 3-c.e. degree is a degree of categoricity. We can also consider questions about categorizing the degrees of categoricity. What other classes of degrees can be shown to lack (or have) degrees of categoricity? Must every degree of categoricity x be such that 0 (γ) T x T 0 (γ+1) for some ordinal γ? Finally, the connection between degrees of categoricity and strong degrees of categoricity can be further explored. The question of Fokina, Kalimullin, and Miller [3], is there a degree of categoricity which is not strong, remains open. In fact, every computable structure constructed so far that witnesses a degree of categoricity, does so by witnessing a strong degree of categoricity. References [1] B. A. Anderson. Reals n-generic relative to some perfect tree. J. Symbolic Logic, 73(2): , [2] B. Csima, J. Franklin, and R. Shore. Degrees of categoricity and the hyperarithmetic hierarchy. Notre Dame J. Formal Logic, to appear. [3] E. Fokina, I. Kalimullin, and R. Miller. Degrees of categoricity of computable structures. Archive for Math. Logic, 49(1):51 67, [4] V. S. Harizanov. Pure computable model theory. In Handbook of recursive mathematics, Vol. 1, volume 138 of Stud. Logic Found. Math., pages North-Holland, Amsterdam, [5] C. Jockusch. Personal communication cited in Miller and Martin, The Degrees of Hyperimmune Sets, Z. Math Logik Grundlagen Math., 14 (1968) [6] A. Nies. Computability and randomness, volume 51 of Oxford Logic Guides. Oxford University Press, Oxford, [7] R. I. Soare. Recursively Enumerable Sets and Degrees. Springer-Verlag,
DEGREES OF CATEGORICITY AND THE HYPERARITHMETIC HIERARCHY
DEGREES OF CATEGORICITY AND THE HYPERARITHMETIC HIERARCHY BARBARA F. CSIMA, JOHANNA N. Y. FRANKLIN, AND RICHARD A. SHORE Abstract. We study arithmetic and hyperarithmetic degrees of categoricity. We extend
THE DEGREES OF BI-HYPERHYPERIMMUNE SETS
THE DEGREES OF BI-HYPERHYPERIMMUNE SETS URI ANDREWS, PETER GERDES, AND JOSEPH S. MILLER Abstract. We study the degrees of bi-hyperhyperimmune (bi-hhi) sets. Our main result characterizes these degrees
THE SEARCH FOR NATURAL DEFINABILITY IN THE TURING DEGREES
THE SEARCH FOR NATURAL DEFINABILITY IN THE TURING DEGREES ANDREW E.M. LEWIS 1. Introduction This will be a course on the Turing degrees. We shall assume very little background knowledge: familiarity with
Degree spectra and immunity properties
Mathematical Logic Quarterly, 28 March 2009 Degree spectra and immunity properties Barbara F. Csima 1, and Iskander S. Kalimullin 2, 1 Department of Pure Mathematics University of Waterloo Waterloo, ON,
GENERIC COMPUTABILITY, TURING DEGREES, AND ASYMPTOTIC DENSITY
GENERIC COMPUTABILITY, TURING DEGREES, AND ASYMPTOTIC DENSITY CARL G. JOCKUSCH, JR. AND PAUL E. SCHUPP Abstract. Generic decidability has been extensively studied in group theory, and we now study it in
Turing Degrees and Definability of the Jump. Theodore A. Slaman. University of California, Berkeley. CJuly, 2005
Turing Degrees and Definability of the Jump Theodore A. Slaman University of California, Berkeley CJuly, 2005 Outline Lecture 1 Forcing in arithmetic Coding and decoding theorems Automorphisms of countable
THE TURING DEGREES AND THEIR LACK OF LINEAR ORDER
THE TURING DEGREES AND THEIR LACK OF LINEAR ORDER JASPER DEANTONIO Abstract. This paper is a study of the Turing Degrees, which are levels of incomputability naturally arising from sets of natural numbers.
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
Cardinality. The set of all finite strings over the alphabet of lowercase letters is countable. The set of real numbers R is an uncountable set.
Section 2.5 Cardinality (another) Definition: The cardinality of a set A is equal to the cardinality of a set B, denoted A = B, if and only if there is a bijection from A to B. If there is an injection
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
Low upper bound of ideals, coding into rich Π 0 1 classes
Low upper bound of ideals, coding into rich Π 0 1 classes Antonín Kučera the main part is a joint project with T. Slaman Charles University, Prague September 2007, Chicago The main result There is a low
ON INITIAL SEGMENT COMPLEXITY AND DEGREES OF RANDOMNESS
ON INITIAL SEGMENT COMPLEXITY AND DEGREES OF RANDOMNESS JOSEPH S. MILLER AND LIANG YU Abstract. One approach to understanding the fine structure of initial segment complexity was introduced by Downey,
DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS
DEGREES OF ORDERS ON TORSION-FREE ABELIAN GROUPS ASHER M. KACH, KAREN LANGE, AND REED SOLOMON Abstract. We construct two computable presentations of computable torsion-free abelian groups, one of isomorphism
This chapter is all about cardinality of sets. At first this looks like a
CHAPTER Cardinality of Sets This chapter is all about cardinality of sets At first this looks like a very simple concept To find the cardinality of a set, just count its elements If A = { a, b, c, d },
An example of a computable
An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept
INTRODUCTORY SET THEORY
M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,
CODING TRUE ARITHMETIC IN THE MEDVEDEV AND MUCHNIK DEGREES
CODING TRUE ARITHMETIC IN THE MEDVEDEV AND MUCHNIK DEGREES PAUL SHAFER Abstract. We prove that the first-order theory of the Medvedev degrees, the first-order theory of the Muchnik degrees, and the third-order
I. GROUPS: BASIC DEFINITIONS AND EXAMPLES
I GROUPS: BASIC DEFINITIONS AND EXAMPLES Definition 1: An operation on a set G is a function : G G G Definition 2: A group is a set G which is equipped with an operation and a special element e G, called
Continued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
arxiv:math/0510680v3 [math.gn] 31 Oct 2010
arxiv:math/0510680v3 [math.gn] 31 Oct 2010 MENGER S COVERING PROPERTY AND GROUPWISE DENSITY BOAZ TSABAN AND LYUBOMYR ZDOMSKYY Abstract. We establish a surprising connection between Menger s classical covering
This asserts two sets are equal iff they have the same elements, that is, a set is determined by its elements.
3. Axioms of Set theory Before presenting the axioms of set theory, we first make a few basic comments about the relevant first order logic. We will give a somewhat more detailed discussion later, but
Diagonalization. Ahto Buldas. Lecture 3 of Complexity Theory October 8, 2009. Slides based on S.Aurora, B.Barak. Complexity Theory: A Modern Approach.
Diagonalization Slides based on S.Aurora, B.Barak. Complexity Theory: A Modern Approach. Ahto Buldas [email protected] Background One basic goal in complexity theory is to separate interesting complexity
Totally < ω ω -computably enumerable degrees and m-topped degrees
Totally < ω ω -computably enumerable degrees and m-topped degrees Rod Downey and Noam Greenberg School of Mathematics, Statistics, and Computer Science Victoria University PO Box 600 Wellington New Zealand
SMALL SKEW FIELDS CÉDRIC MILLIET
SMALL SKEW FIELDS CÉDRIC MILLIET Abstract A division ring of positive characteristic with countably many pure types is a field Wedderburn showed in 1905 that finite fields are commutative As for infinite
FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES
FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied
Group Theory. Contents
Group Theory Contents Chapter 1: Review... 2 Chapter 2: Permutation Groups and Group Actions... 3 Orbits and Transitivity... 6 Specific Actions The Right regular and coset actions... 8 The Conjugation
Lecture 2: Universality
CS 710: Complexity Theory 1/21/2010 Lecture 2: Universality Instructor: Dieter van Melkebeek Scribe: Tyson Williams In this lecture, we introduce the notion of a universal machine, develop efficient universal
CHAPTER 5. Number Theory. 1. Integers and Division. Discussion
CHAPTER 5 Number Theory 1. Integers and Division 1.1. Divisibility. Definition 1.1.1. Given two integers a and b we say a divides b if there is an integer c such that b = ac. If a divides b, we write a
Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011
Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely
Every tree contains a large induced subgraph with all degrees odd
Every tree contains a large induced subgraph with all degrees odd A.J. Radcliffe Carnegie Mellon University, Pittsburgh, PA A.D. Scott Department of Pure Mathematics and Mathematical Statistics University
GROUPS ACTING ON A SET
GROUPS ACTING ON A SET MATH 435 SPRING 2012 NOTES FROM FEBRUARY 27TH, 2012 1. Left group actions Definition 1.1. Suppose that G is a group and S is a set. A left (group) action of G on S is a rule for
Mathematical Induction. Lecture 10-11
Mathematical Induction Lecture 10-11 Menu Mathematical Induction Strong Induction Recursive Definitions Structural Induction Climbing an Infinite Ladder Suppose we have an infinite ladder: 1. We can reach
Mathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson
Mathematics for Computer Science/Software Engineering Notes for the course MSM1F3 Dr. R. A. Wilson October 1996 Chapter 1 Logic Lecture no. 1. We introduce the concept of a proposition, which is a statement
U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009. Notes on Algebra
U.C. Berkeley CS276: Cryptography Handout 0.1 Luca Trevisan January, 2009 Notes on Algebra These notes contain as little theory as possible, and most results are stated without proof. Any introductory
Regular Languages and Finite Automata
Regular Languages and Finite Automata 1 Introduction Hing Leung Department of Computer Science New Mexico State University Sep 16, 2010 In 1943, McCulloch and Pitts [4] published a pioneering work on a
Computability Theory
CSC 438F/2404F Notes (S. Cook and T. Pitassi) Fall, 2014 Computability Theory This section is partly inspired by the material in A Course in Mathematical Logic by Bell and Machover, Chap 6, sections 1-10.
F. ABTAHI and M. ZARRIN. (Communicated by J. Goldstein)
Journal of Algerian Mathematical Society Vol. 1, pp. 1 6 1 CONCERNING THE l p -CONJECTURE FOR DISCRETE SEMIGROUPS F. ABTAHI and M. ZARRIN (Communicated by J. Goldstein) Abstract. For 2 < p
CHAPTER 7 GENERAL PROOF SYSTEMS
CHAPTER 7 GENERAL PROOF SYSTEMS 1 Introduction Proof systems are built to prove statements. They can be thought as an inference machine with special statements, called provable statements, or sometimes
o-minimality and Uniformity in n 1 Graphs
o-minimality and Uniformity in n 1 Graphs Reid Dale July 10, 2013 Contents 1 Introduction 2 2 Languages and Structures 2 3 Definability and Tame Geometry 4 4 Applications to n 1 Graphs 6 5 Further Directions
Notes on Complexity Theory Last updated: August, 2011. Lecture 1
Notes on Complexity Theory Last updated: August, 2011 Jonathan Katz Lecture 1 1 Turing Machines I assume that most students have encountered Turing machines before. (Students who have not may want to look
Kolmogorov Complexity and the Incompressibility Method
Kolmogorov Complexity and the Incompressibility Method Holger Arnold 1. Introduction. What makes one object more complex than another? Kolmogorov complexity, or program-size complexity, provides one of
n k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +...
6 Series We call a normed space (X, ) a Banach space provided that every Cauchy sequence (x n ) in X converges. For example, R with the norm = is an example of Banach space. Now let (x n ) be a sequence
Large induced subgraphs with all degrees odd
Large induced subgraphs with all degrees odd A.D. Scott Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, England Abstract: We prove that every connected graph of order
1 = (a 0 + b 0 α) 2 + + (a m 1 + b m 1 α) 2. for certain elements a 0,..., a m 1, b 0,..., b m 1 of F. Multiplying out, we obtain
Notes on real-closed fields These notes develop the algebraic background needed to understand the model theory of real-closed fields. To understand these notes, a standard graduate course in algebra is
INCIDENCE-BETWEENNESS GEOMETRY
INCIDENCE-BETWEENNESS GEOMETRY MATH 410, CSUSM. SPRING 2008. PROFESSOR AITKEN This document covers the geometry that can be developed with just the axioms related to incidence and betweenness. The full
Mathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
Handout #1: Mathematical Reasoning
Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or
On the Structure of Turing Universe: The Non-Linear Ordering of Turing Degrees
On the Structure of Turing Universe: The Non-Linear Ordering of Turing Degrees Yazan Boshmaf November 22, 2010 Abstract Turing Universe: the final frontier. These are the voyages of five mathematicians.
Total Degrees and Nonsplitting Properties of Σ 0 2 Enumeration Degrees
Total Degrees and Nonsplitting Properties of Σ 0 2 Enumeration Degrees M. M. Arslanov, S. B. Cooper, I. Sh. Kalimullin and M. I. Soskova Kazan State University, Russia University of Leeds, U.K. This paper
MA651 Topology. Lecture 6. Separation Axioms.
MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples
FIRST ORDER THEORY OF THE s-degrees AND ARITHMETIC
FIRST ORDER THEORY OF THE s-degrees AND ARITHMETIC DANIELE MARSIBILIO AND ANDREA SORBI Abstract. We show that the first order theories of the s-degrees, and of the Q-degrees, are computably isomorphic
1 Definitions. Supplementary Material for: Digraphs. Concept graphs
Supplementary Material for: van Rooij, I., Evans, P., Müller, M., Gedge, J. & Wareham, T. (2008). Identifying Sources of Intractability in Cognitive Models: An Illustration using Analogical Structure Mapping.
Math 231b Lecture 35. G. Quick
Math 231b Lecture 35 G. Quick 35. Lecture 35: Sphere bundles and the Adams conjecture 35.1. Sphere bundles. Let X be a connected finite cell complex. We saw that the J-homomorphism could be defined by
Degree Hypergroupoids Associated with Hypergraphs
Filomat 8:1 (014), 119 19 DOI 10.98/FIL1401119F Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Degree Hypergroupoids Associated
Finite dimensional topological vector spaces
Chapter 3 Finite dimensional topological vector spaces 3.1 Finite dimensional Hausdorff t.v.s. Let X be a vector space over the field K of real or complex numbers. We know from linear algebra that the
ADDITIVE GROUPS OF RINGS WITH IDENTITY
ADDITIVE GROUPS OF RINGS WITH IDENTITY SIMION BREAZ AND GRIGORE CĂLUGĂREANU Abstract. A ring with identity exists on a torsion Abelian group exactly when the group is bounded. The additive groups of torsion-free
CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.
CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,
CONTINUED FRACTIONS AND PELL S EQUATION. Contents 1. Continued Fractions 1 2. Solution to Pell s Equation 9 References 12
CONTINUED FRACTIONS AND PELL S EQUATION SEUNG HYUN YANG Abstract. In this REU paper, I will use some important characteristics of continued fractions to give the complete set of solutions to Pell s equation.
A 2-factor in which each cycle has long length in claw-free graphs
A -factor in which each cycle has long length in claw-free graphs Roman Čada Shuya Chiba Kiyoshi Yoshimoto 3 Department of Mathematics University of West Bohemia and Institute of Theoretical Computer Science
CS 3719 (Theory of Computation and Algorithms) Lecture 4
CS 3719 (Theory of Computation and Algorithms) Lecture 4 Antonina Kolokolova January 18, 2012 1 Undecidable languages 1.1 Church-Turing thesis Let s recap how it all started. In 1990, Hilbert stated a
Cartesian Products and Relations
Cartesian Products and Relations Definition (Cartesian product) If A and B are sets, the Cartesian product of A and B is the set A B = {(a, b) :(a A) and (b B)}. The following points are worth special
Deterministic Finite Automata
1 Deterministic Finite Automata Definition: A deterministic finite automaton (DFA) consists of 1. a finite set of states (often denoted Q) 2. a finite set Σ of symbols (alphabet) 3. a transition function
Chapter 4 Lecture Notes
Chapter 4 Lecture Notes Random Variables October 27, 2015 1 Section 4.1 Random Variables A random variable is typically a real-valued function defined on the sample space of some experiment. For instance,
Gambling and Data Compression
Gambling and Data Compression Gambling. Horse Race Definition The wealth relative S(X) = b(x)o(x) is the factor by which the gambler s wealth grows if horse X wins the race, where b(x) is the fraction
it is easy to see that α = a
21. Polynomial rings Let us now turn out attention to determining the prime elements of a polynomial ring, where the coefficient ring is a field. We already know that such a polynomial ring is a UF. Therefore
Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces
Communications in Mathematical Physics Manuscript-Nr. (will be inserted by hand later) Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces Stefan Bechtluft-Sachs, Marco Hien Naturwissenschaftliche
x < y iff x < y, or x and y are incomparable and x χ(x,y) < y χ(x,y).
12. Large cardinals The study, or use, of large cardinals is one of the most active areas of research in set theory currently. There are many provably different kinds of large cardinals whose descriptions
arxiv:1112.0829v1 [math.pr] 5 Dec 2011
How Not to Win a Million Dollars: A Counterexample to a Conjecture of L. Breiman Thomas P. Hayes arxiv:1112.0829v1 [math.pr] 5 Dec 2011 Abstract Consider a gambling game in which we are allowed to repeatedly
ON DEGREES IN THE HASSE DIAGRAM OF THE STRONG BRUHAT ORDER
Séminaire Lotharingien de Combinatoire 53 (2006), Article B53g ON DEGREES IN THE HASSE DIAGRAM OF THE STRONG BRUHAT ORDER RON M. ADIN AND YUVAL ROICHMAN Abstract. For a permutation π in the symmetric group
3. Mathematical Induction
3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)
How To Understand The Theory Of Hyperreals
Ultraproducts and Applications I Brent Cody Virginia Commonwealth University September 2, 2013 Outline Background of the Hyperreals Filters and Ultrafilters Construction of the Hyperreals The Transfer
About the inverse football pool problem for 9 games 1
Seventh International Workshop on Optimal Codes and Related Topics September 6-1, 013, Albena, Bulgaria pp. 15-133 About the inverse football pool problem for 9 games 1 Emil Kolev Tsonka Baicheva Institute
GENERATING SETS KEITH CONRAD
GENERATING SETS KEITH CONRAD 1 Introduction In R n, every vector can be written as a unique linear combination of the standard basis e 1,, e n A notion weaker than a basis is a spanning set: a set of vectors
A SURVEY OF RESULTS ON THE D.C.E. AND n-c.e. DEGREES
A SURVEY OF RESULTS ON THE D.C.E. AND n-c.e. DEGREES STEFFEN LEMPP 1. Early history This paper gives a brief survey of work on the d.c.e. and n-c.e. degrees done over the past fifty years, with particular
Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics
Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights
On strong fairness in UNITY
On strong fairness in UNITY H.P.Gumm, D.Zhukov Fachbereich Mathematik und Informatik Philipps Universität Marburg {gumm,shukov}@mathematik.uni-marburg.de Abstract. In [6] Tsay and Bagrodia present a correct
Cycles in a Graph Whose Lengths Differ by One or Two
Cycles in a Graph Whose Lengths Differ by One or Two J. A. Bondy 1 and A. Vince 2 1 LABORATOIRE DE MATHÉMATIQUES DISCRÉTES UNIVERSITÉ CLAUDE-BERNARD LYON 1 69622 VILLEURBANNE, FRANCE 2 DEPARTMENT OF MATHEMATICS
Analysis of Algorithms, I
Analysis of Algorithms, I CSOR W4231.002 Eleni Drinea Computer Science Department Columbia University Thursday, February 26, 2015 Outline 1 Recap 2 Representing graphs 3 Breadth-first search (BFS) 4 Applications
ON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE. 1. Introduction
ON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE J.M. CALABUIG, J. RODRÍGUEZ, AND E.A. SÁNCHEZ-PÉREZ Abstract. Let m be a vector measure taking values in a Banach space X. We prove that
