Clans, parent sets, litters, atoms, and allowable permutations

Size: px
Start display at page:

Download "Clans, parent sets, litters, atoms, and allowable permutations"

Transcription

1 Clans, parent sets, litters, atoms, and allowable permutations M. Randall Holmes January 26, 2016 Version of 1/25/2015, 12 AM Boise time corrected a misstatement. Introductory remarks: In this note I am trying to separate out another theme in my NF consistency proof, namely the basic maneuver behind the FM construction. The advantage of this approach is that it makes it clear that the properties of the system of atoms, clans and litters constructed depend to very different degrees on the insane definition of the parent sets, which in this approach is introduced rather late. There is however no circularity in this presentation: an abstract definition of systems of clans and parent sets is given, then more and more intended properties of parent sets are assumed in further arguments until the insane specification is fully revealed. I believe that it is quite clear that the partial specifications given up to that point are all realizable in well-founded ways. Also, it is possible to motivate the insane definition of the parent sets in this document, because one knows enough about the properties of systems of clans and litters at the time it is introduced to be able to see that it will have the desired effect, if it is possible. I changed the notation for parent sets from P (A) to Π(A) to avoid mental collision with the notation for power set. Do notice that initially clan indices are elements of an index set I which is not specified. This document has two possible merits not possessed by the main paper. At the point where the monstrous equation for parent sets with nonempty index is presented, it is possible to motivate it. Further, though coding functions are used, there is no actual construction of atoms from notations in this construction; everything is more concrete and there is no need to define equivalence of notations through a horrid recursion without any access to actual atoms. A complete proof using this document would need to import the set of notes on tangled type theory and the proofs of some results cited from the main paper. 1

2 The stage is set: We work in ZFA (initially with choice, but we will introduce an FM interpretation of ZFA without choice in due course). We start by fixing a regular uncountable (well-ordered) cardinal κ. We will give progressively more information about the atoms in our interpretation of ZFA as we go along. Definition (small and large sets): Sets of cardinality < κ are called small ; all others are called large. Clans and parent sets introduced: The atoms are organized into clans. The set of clans is a partition of the set of atoms. Each clan C has an associated parent set P : in each case, P is large and there is a bijection in the ground interpretation (our original ZFA) between P κ and the clan C. Distinct clans have distinct but not necessarily disjoint parent sets. The clan C with parent set P may be denoted by clan(p ). The parent sets are indexed by indices taken from a yet unspecified pure set I. Parent sets are not necessarily pure sets. The parent set associated with A I is written Π(A). The clan clan(π(a)) may more briefly be written clan[a]. Notation for atoms introduced: The postulated bijection from Π(A) κ to clan[a] will be denoted for a moment by ι A : we introduce the notation a A α for ι A (a, α) for a Π(A) and α < κ. Because distinct clans have distinct parent sets, but not necessarily disjoint parent sets, there may be atoms a A α a B α. Definition (litters): The notation litter A (a), for A I and a Π(A), is defined as {a A α : α < κ}. Such sets are called litters. Definition (near-litters, anomalous elements thereof): A near-litter is a subset of a clan with small symmetric difference from a litter. The collection of near-litters included in clan[a] is denoted by clan [A]. The anomalous elements of a near-litter are the elements of its symmetric difference from the unique litter for which this symmetric difference is small. Definition (notions of parent): The parent of an atom a A α is a. The parent of a litter litter A (a) is a. The parent of a near-litter is the parent of the unique litter from which it has small symmetric difference. Construction (extension of permutations of atoms to sets): A permutation π of the set of atoms is extended to the entire universe by the equation π(x) = π X as usual: this extends a set permutation of the atoms to a class permutation of the universe. 2

3 Definition (allowable permutation, exceptions thereof): A permutation π is said to be allowable iff π(litter A (a)) for any A I and a Π(A) is a near-litter with small symmetric difference from litter A (π(a)), and π 1 (litter A (a)) for any A I and a Π(A) is a near-litter with small symmetric difference from litter A (π 1 (a)). It follows from this condition that each clan is fixed by π (because each litter is mapped to a near-litter included in the same clan and a permutation mapping a clan into a clan must map the clan onto a clan), and also that each parent set is fixed by π (as the condition forces both π(a) and π 1 (a) to belong to a given parent set if a does). An exception of an allowable permutation π is an atom a A α which is not fixed by π and is such that either π(a A α ) litter A (π(a)) or π 1 (a A α ) litter A (π 1 (a)). Definition (support set, support of an object): A support set is defined as a small collection of atoms and near-litters (which may be members or subsets of many distinct clans) in which distinct near-litter elements are disjoint. An object X in ZFA has support S iff S is a support set and each allowable permutation π such that π(s) = s for each s S also satisfies π(x) = X. Construction (specification of the FM interpretation): A set or atom with support is said to be symmetric. Our FM interpretation is made up of the hereditarily symmetric objects. Let G be the group of allowable permutations. For each support set S, let G S be the collection of allowable permutations fixing each element of S. Let the filter Γ contain exactly the subgroups H of G which include some G S as a subset. It is straightforward to establish that this is a normal filter as required for the master theorem on FM methods: if G S is included in H, G π(s) is included in πhπ 1. Obviously each atom is symmetric with support its own singleton. A further stipulation on elements of parent sets: We stipulate from this point on that each element of any parent set is either a pure set, or an atom, or an element of an iterated power set P k+1 (C) of a clan C. Description of the parents of atoms: We begin a section in which we give some precise information about the sorts of elements of iterated power sets of clans which can be elements of parent sets. Definition: An ordered support set is an injective function with domain a small set of small ordinals and range a support set. We do have a reason for the domain not being a small ordinal itself: we want the option of deleting elements without reindexing. 3

4 The notion of coding function introduced: Each set element of any parent set is of the form f(l) where L is an ordered support set and f is a coding function. The description of coding functions follows. Typing of coding functions: Each coding function has domain some set of ordered support sets (an input type, details to be revealed) and range a specific clan or iterated power set of a clan. Each coding function has a pure set notation, and we will define a denotation map δ sending notations to coding functions. We also use δ for a denotation map sending pure set notations T for input types to the input types δ(t ) themselves. coding functions with atom values: A coding function with output type a clan P 0 (C) is a restriction of a projection function to an input type: f(l) = L(α) for a fixed α < κ for each L of the appropriate input type. A pure set notation for such a coding function is of the form (1, α, T ), where T is a pure set notation for its input type (such notations are described below). δ(1, α, T )(L) = L(α) for any L δ(t ). coding functions with set values: A coding function f with output type P k+1 (C) is always determined by a set U of pure set notations for projection functions with output type P k (C) and an input type δ(t ): f(l) = {δ(g)(m) : g U L M}, where L M means that L M and all elements of the domain of M \ L are greater than all elements of the domain of L (we say in this situation that M extends L). The pure set notation for such an f is (2, U, T, k, A): δ(2, U, T, k, A)(L) = {δ(g)(m) : g U L M} for each L δ(t ), T being taken here as a pure set notation for an input type, and the clan C mentioned above being specified as clan[a]. description of input types and their notations: All elements of a fixed input type δ(t ) have the same domain T, a small set of small ordinals. We require that for each input type δ(t ) and each ordinal α in the common domain of elements of δ(t ), for each L δ(t ) we will have L(α) belonging to a fixed clan[a] or clan [A]: we will define τ T (α) as (1, A) in the first case and (2, A) in the second case. τ T contains absolute type information about elements of ordered support sets. We further require that the ranges of input types be inhabited by ordered support sets with a highly regimented structure, and we enforce this by a strong condition: we provide a second function ρ T associated with each input type T, with the properties that 1. if τ T (α) = clan[a] then either 4

5 (a) ρ T (α) = β < α such that for any L δ(t ), we have L(α) L(β) clan [A], (b) or ρ T (α) = 1 and L(α) does not belong to any near-litter in the range of L; Each atom in the range of an ordered support set of a given input type either belongs to a near-litter in the range at a position specified by the input type or belongs to no near-litter in the range of the ordered support set. 2. or if τ T (α) = clan [A], where P (A) is not a pure set, then ρ T (α) = (g, M) where M is a subset of the intersection of α and the common domain of the elements of δ(t ) and g is a coding function, and for all L δ(t ), L(α) = g(l M): note that L M has to be an ordered support set, which puts some closure conditions on the subset M, under which the input type to which L M belongs is readily computed by restriction of the type δ(t ). When Π(A) is a pure set, ρ T (α) = 1. Each near-litter in the range of an ordered support set of a given input type either has parent in a pure parent set or has parent which is the value of a coding function determined by the input type at an ordered support set which is a subset of the given ordered support set with all values appearing earlier than the given near-litter, its domain being determined by the input type. The function ρ T encodes the relative type information in the input type T. pure set notation (and denotation function) for input types: An input type δ(t ) has a pure set type signature T = ( T, τ T, ρ T ) [we thus implicitly define the denotation map δ on type signatures] consisting of the common domain T of its elements and the functions τ T and ρ T ; the full type of any coding function can be represented as a pure set by further adding a notation (n, A) representing the output type P n (clan[a]). notation for coding functions: Specific coding functions with output type clan[a] may be written π T α, fully specified by an input type signature T (coded as a pure set) with T (α) = (1, A) and the ordinal α such that for L T we get π T α (L) = L(α). Notice that the output type is revealed by the value of T (α). Specific coding functions with output type P k+1 (clan[a]) may be specified as f U,T,k,A, with f U,T,k,A (L) = {δ(g)(m) : g U L M} as described above, where U must be a set of pure set notations for coding functions with output type P k (clan[a]) and input types (not necessarily all the same) whose elements extend elements of δ(t ), the input type to which L belongs. 5

6 action of allowable permutations: Let π be an allowable permutation. It is not difficult to see (by induction on the structure of the pure set notations for coding functions) that if L belongs to an input type T, π L belongs to the same input type, and further π(f(l)) = f(π L) for each allowable permutation π. Note that this implies that every set f(l) is symmetric and indeed hereditarily symmetric, because any allowable permutation which fixes each element of the range of L, which is a support set, fixes f(l), and its elements are of the same form unless it is an atom. Definition (restricted iterated power sets of clans): We now define P n (clan[a]) for each n as the collection of all elements of P n (clan[a]) which are values of coding functions. A further stipulation on parent sets: Each parent set Π(A) will either be a large pure set X or the union of a single clan and the union of a set of nontrivial restricted iterated power sets of clans. Only one parent set will be a large pure set, and the letter X is hereinafter reserved to denote it. We stipulate that I and that X = Π( ). Observation about infinitary notation: This gives us well-founded infinitary notation for every atom, since every atom is determined by a parent and an ordinal index, and every parent is an element of X, an atom itself, or can be expressed in the form f(l), where we have seen notation for f and the atoms in the range of L and in near-litter elements of the range of L admit the same analysis as atoms already considered. Definition (pure set infinitary notation): We can for some purposes use a notation involving no atoms. We extend our denotation function: let δ(3, a, α) = a α for a X and let δ(4, a, α, A) = δ(a) A α where δ(a) Π(A). Define litter A (a) as the set of all notations for elements of litter A (δ(a)) (or litter A (a) in the case A = ) with the given notation a as second component. Let N be a set of notations for elements of a clan with small symmetric difference from a litter A (δ(a)) (or litter A (a) in the case A = ): we define δ(n) = δ N just in case δ is injective on N. A function L with domain a small set of small ordinals is a formal ordered support set just in case δ L is an ordered support set. We denote a structure (5, f, L) by f[l] and term it a pure set notation just in case f is a notation for a coding function and δ L is in the domain of δ(f), and we define δ(f[l]) as δ(f)(δ L). Theorem (substitution property): At this point, we can demonstrate that allowable permutations act quite freely. To be exact, we prove that for any small bijection π 0 on a set of atoms such that π 0 (x) always belongs to the same clan to which x belongs (the domain of π 0 may intersect many 6

7 clans), we can find an allowable permutation π which extends π 0 and has no exceptions other than elements of the domain of π 0. Proof of the theorem: For each clan index A and pair of objects a, b Π(A) choose a bijection f a,b,a from litter A (a) \ dom(π 0 ) to litter A (b) \ dom(π 0 ). The intention is that if we determine that π(a) = b, f a,b,a will be the restriction of π to litter A (a) \ dom(π 0 ). We compute π at each atom a A α recursively, supposing that we have already computed π(a): if a A α dom(π 0 ), we define π(a A α ) as π 0 (a A α ), and otherwise define it as f a,π(a),a (a A α ). If a X, we know that π(a) = a. If a is an atom, we know how to compute it (and by inductive hypothesis have already done so). If a is of the form f(l), we compute π(a) as f(π L), where we have already computed π at each atom and near-litter in the range of L by inductive hypothesis. We succeed in computing π at every atom by recursion on our infinitary notation for atoms and parents, and it is evident that the only exceptions of π are at atoms in the domain of π 0. Theorem (restricted iterated power sets are FM iterated power sets): Our next claim is that every hereditarily symmetric element of any P n (clan[a]) belongs to P n (clan[a]), that is, is in the range of a coding function, with the stronger proviso that we can choose such a code to extend any desired ordered support set L. Proof of the theorem: This is true for n = 0. Suppose that it is true for n = k: we show that it follows for n = k + 1. Let Y be a hereditarily symmetric element of P k+1 (clan[a]): by inductive hypothesis it is a subset of P k (clan[a]). Let L be an ordered support set whose range is a support for Y. Every element of Y can by hypothesis be expressed in the form g(m) for some coding function g and M extending L. Define U as the set of all coding functions g such that for some L M we have g(m) Y. We claim that f U,T,k,A (L) = Y, where T is the input type of L. Clearly by construction Y f U,T,k,A (L). Each element of f U,T,k,A (L) is of the form g(m ) where L M and there is M with L M and g(m) Y. Our aim is to show that g(m ) Y as well. One can define a small bijection of atoms which respects clans and sends each M(α) to M (α) (it is clear how to do this for atoms; in each near-litter, one defines the bijection on a small set including all anomalous elements for the near-litter in M or M [whether belonging to it or not] and rely on the fact that the common parent of most elements of the near-litter in either M or M will be handled correctly by the extension of the map, as the elements of a support for it appear earlier in M and M ); ths map extends to an allowable permutation taking g(m) to g(m ), which fixes Y as it fixes each element of the range of L, so g(m ) Y, completing the argument. 7

8 Overview of combinatorics of clans proved in main paper: From these results we can deduce as in the main paper (we will import these proofs to this document) the following combinatorial facts about the FM interpretation: 1. Each small subset of the domain of the FM interpretation belongs to the domain of the FM interpretation. 2. Each litter is a set of the FM interpretation, and its subsets in the FM interpretation are exactly its small and co-small subsets (such sets are called κ-amorphous). 3. Each clan is a set of the FM interpretation, and its subsets in the FM interpretation are exactly the sets with small symmetric difference from the union of some small or co-small collection of the litters included in the clan. [It is useful to note that a co-small collection of litters is not itself a set of the FM interpretation, though its union is one.] 4. The double power set P 2 (clan[a]) in the sense of the FM interpretation includes a subset the same size as P(Π(A)) in the sense of the FM interpretation: this subset has as its elements sets litter A (a) defined for each a as the set of near-litters with small symmetric difference from litter A (a) (which is in fact the collection of subsets of clan[a] of the same cardinality as the litter in the sense of the FM interpretation, and so a reasonable nonce representation of this cardinal). The last point is interesting because the power set of a clan in the FM interpretation contains no information whatever about the set theoretical structure of the parent set of the clan in any form visible to the FM interpretation, while the double power set contains something which the FM interpretation sees as having the same set theoretical structure as the power set of the parent set. Further stipulations about parent sets: We now use some of the information about parent sets which we have revealed (and reveal a little more). We recall that is a clan index and Π( ) = X, the unique pure set parent set. For each other clan index A there is a unique clan index A 1 such that clan[a 1 ] Π(A). For any clan index A, we define A 0 as A and A n+1 as (A n ) 1. We make the further proviso that for each A there is a natural number n (which we maliciously denote by A ) such that A n =. An important observation proved in the main paper: This gives enough information for the next lemma we need. It is a corollary of point 4 from the last list and the definition of the operation A A 1 that P n+2 (clan[a]) 8

9 contains a subset the size of P(Π(A n )): the inductive argument for this is in the main paper. This is interesting because it allows internal structure in a clan which is quite invisible to the FM interpretation when the structure of the clan itself or even lower-indexed power sets of the clan to become apparent when the nth iterated power set of the clan is considered. The proof will be imported to this document. The final stipulation on the structure of parent sets, motivation: Now we are in a position to motivate the apparently quite absurd equation for arbitrary parent sets in the main paper. We are interested in defining a tangled web in the following manner. We first reveal that clan indices are finite subsets of a fixed limit ordinal λ, and that if A is a clan index, A 1 = A\{min[A]}. We further reveal our motivation. We would like to define our tangled web τ by τ(a) = P 2 (clan[a]) for each nonempty clan index A. For the naturality condition to hold, we need τ(a 1 ) = 2 τ(a) = P 3 (clan[a]) and more generally P 2 (clan[a n ]) = τ(a n ) = P n+2 (clan[a]). To arrange P n+2 (clan[a]) P 2 (clan[a n ]), require that P n+2 (clan[a]) P(Π(A n )), which can be arranged by including P n+1 (clan[a]) in Π(A n ), since we know by lemmas proved above that P 2 (clan[a n ]) includes a subset the size of P(Π(A n )). This condition does not or does not immediately show the inequality P 2 (clan[a n ] P n+2 (clan[a]) which we would also need for full verification of the stated intention, but it does allow definition of a system of cardinals satisfying the naturality property of a tangled web in a slightly different way. We define τ(a) as P 2 (clan[a]) where A has minimum element 0 and define τ(a n ) as exp n (τ(a)) in all other cases. Of course we must show then that if A and B each have minimal element 0 and A m = B n, with m, n > 0, then exp m (P 2 (clan[a])) = P m+2 (clan[a]) = P n+2 (clan[b]) = exp m (P 2 (clan[b])), to show that this is coherent. By a lemma shown above, P m+2 (clan[a]) includes a set the size of P(Π(A m )) = P(Π(B n )), which includes P(P n+1 (clan[b n ])) by our unlikely hypothesis about parent sets, so P m+2 (clan[a]) P n+2 (clan[b])), but the converse inequality can be shown in the exact same way, establishing that these cardinals are equal. The unlikely formula for parent sets with nonempty index: Using this information and the already given information that certain clans are included in parent sets, we propose that for each nonempty clan index A. Π(A) = clan[a 1 ] B<<A P B A +1 (clan[b]) 9

10 should hold, where B << A means that A is a proper subset of B and all elements of B \ A are less than all elements of A (B strictly downward extends A), and the power sets are those of the FM interpretation. Note that at this point we have completely revealed the intended structure of the system of clans, litters and atoms: what we need to do is show that the very weird equation for parent sets can actually be satisfied. The final construction: We now outline the construction of the full system of atoms. Note that we have already indicated how to construct Π({0}) = clan[ ] = clan(x) and thus clan[{0}]. This provides us with a basis for our construction. We suppose as an inductive hypothesis that we have constructed all the clans clan[a] and parent sets Π(A) for all clan indices A with all elements of A less than a fixed ordinal α, and moreover for any initial choice of a set X as Π( ). We will then indicate how to construct all the clans and parent sets with indices of the form A {α}. Our strategy in brief is that we will construct each clan and parent set indexed by an A {α} by recapitulating the construction of the clan or parent set indexed by A, replacing X with a maliciously chosen set Y whose identity we will shortly reveal. We denote the result of constructing clan[a] using a set Y in place of X by (clan[a]) Y. We further observe that we can where Y Z naturally regard any clan[a]) Y as included in clan[a]) Z, by identifying atoms in clan[a]) Z with atoms in clan[a]) Y when the atoms in clan[a]) Z have pure set infinitary notations which coincide with those for the atoms in clan[a]) Y. To see that this procedure is legitimate, one shows by a recursive argument on the structure of pure set infinitary notations f[l] that equations between them are determined entirely by the structure of the notation [full argument for this to be inserted above: it is not difficult]. Notice that set parents with the same notations in the two structures cannot be equated, as of course those in the larger structures will almost always have more elements. It remains only to construct Π({α}) and clan[{α}]. Π({α}) is expected to be clan[ ] P A {α} +1 (clan[a {α}]) A<<{α} Here we do not disappoint expectations by using anything other than our original X as clan[ ] so this simplifies to clan(x) A<<{α} (P A (clan[a])) Y 10

11 where of course we are referring to the power set operation of the appropriate FM interpretation, which we already know how to construct. Now we reveal the really disturbing part of the maneuver. The fattened set Y which we use in place of X in constructing the clans indexed by A {α} is a pure set the same size as the Π(α) we just constructed. This may be supposed to be achieved by an iterative process: at stage 0, use a pure set the same size as clan(x) (an initial approximation to Π({α})) in place of X in the construction of all the parent sets and clans indexed by A {α} s. This gives a better approximation to Π(α), which we may call X 1. Repeat the construction of Π({α}), using a pure set the same size as X 1 in place of X, including the original pure set the same size as clan(x). Continue this process through κ iterations. Since each object constructed is represented by an infinitary notation which includes no more than a small number of elements of Π({α}), or whatever the current approximation to Π({α}) is, no more objects will be added at stage κ, and at that point the uncomfortable condition given above will hold. It is important here that the construction of the set of atoms in our models can be made monotone in the expansion of P ( ) as discussed above. Now replace the pure set the same size as Π({α}) as a parent set with Π({α}) itself. We still have a system of clans, litters, and atoms. The subtle potential problem which needs to be checked is that the parents in Π({α}) which replace the parents in the original dummy pure set are now moved by allowable permutations. We need to check that the power sets of our clans in the FM interpretation remain the same when this change is made. We argue that any object in the system of clans and parent sets just constructed has support when the pure set Y is used as parent set of the new clan[{α}] iff it has support when Π(α) is used as support. All sets constructed have support when Y is used as the parent set, because they were all built under this assumption. It is sufficient to show that they still have support when Y is replaced with Π(α). Let Z be a fixed object. We first take its support when Y is used as the parent set. We then add to this the supports (with Y used as parent set) of all the elements of Π(A) used to replace the small set of elements of Y appearing in selected infinitary notations for the elements of this support [recalling that all of the objects in Π(A) were constructed in the course of the same process and have such supports). We then repeat this process for each of the new elements of Y introduced by the previous stage. We repeat this process no more than ω times and obtain a support set. An allowable permutation in the new sense which fixes all elements of this extended support will also fix Z: the additional possible action of an allowable permutation with Π(A) used as parent set is caused by action of such permutations on the additional structure awarded to an element of Y when it is replaced by an 11

12 element of Π(A), and we have ensured by augmenting the support that such additional actions will not move Z. Suppose that an element of an iterated power set of a clan [whose restriction is eligible to be included in a parent set] in the scheme using Π(A) is symmetric. Suppose that all of its elements belong to appropriate parent sets (and so are values of coding functions). It follows that the element under consideration is a value of a coding function in the scheme using Π(A), but then it is also a value of a coding function under the scheme with Y as parent set (simple substitution of parents in Y for parents in Π(A) in infinitary notations establishes this) so it already belonged to the appropriate parent set in the scheme using Y. We have shown that the scheme using P (A) gives a system of clans and parent sets satisfying our requirements, so we have shown that we can successfully meet the unlikely equation for clan indices with α as maximum, and so for all clan indices whatever. The argument for elementarity: It remains to show the elementarity property of the proposed tangled web. We need to show that the theory of a natural model of TST n in the FM interpretation with type 0 implemented by a set of size τ(a) depends only on the first n + 1 elements of the clan index A. We use a simplifying assumption that all A considered have the same maximum element α, and we show that if A and B both have maximum element α and A \ A n = B \ B n then there is an external isomorphism between the natural model of TST n+1 with base type clan[a] and the natural model of the same theory with base type clan[b]. This is established by considering infinitary notations for elements of these sets. Every object in clan[a] or clan[b] has an infinitary notation obtained by a series of substitutions from a notation for an element of clan[a \ A n ] = clan[b \ B n ]; we know this because of the way we built the system of clans and litters. The effect of the series of substitutions in one case is to replace elements of X with elements of Π(A n ) and in the other to replace elements of X with elements of Π(B n ). The same substitutions generate all elements of any Π(A n C) or elements of Π(B n C) from elements of Π(C) when all elements of C are dominated by all elements of A n or B n. We observe elements of P n (clan[a]) and P n (clan[b]) belong to sets Π(A n {β}) and Π(B n {β}) where β is dominated by A n and B n. We now observe that for any clan indices C and D, if max(c) = max(d) = α then the cardinalities of Π(C) and Π(D) are the same in the ground interpretation (this is almost certainly not true in the FM interpretation!) Any Π(A) includes clan[a 1 ] if A 1 is nonempty, so is as large as or larger 12

13 than Π(A 1 ). It follows that both Π(C) and Π(D) are at least as large as Π({α}). Now Π({α}) includes iterated power sets in the sense of the FM interpretation of both clan[c] and clan[d], which are at least as large as clan[c] and clan[d] and so at least as large as Π(C) and Π(D) in the sense of the ground interpretation, so all these sets are the same size, in the sense of the ground interpretation. It follows that we can map notations for elements of P n (clan[a]) bijectively to notations for P n (clan[b]) by applying the external bijection from Π(A n ) to Π(B n ) to notations for elements of P n (clan[a]) obtained by substitutions as indicated above. Notations with the same referent will be sent to notations with the same referent by this operation, by known features of the infinitary notation. The same substitution sends P k (clan[a]) to P k (clan[b]) for each k n. This substitution commutes with membership just as it does with equality: we obtain an isomorphism between the two natural models of TST n+1. For each A with minimum element 0 [and the given maximum element], one natural model of TST n with cardinality of base type τ(a) has base type P 2 (clan[a]) and top type P n+1 (clan[a]) and so has its theory determined by the first n + 1 elements of A. For each other A with the given maximum element, the model of TST n with base type P 3 (clan[a {0}]) and top type P n+2 (clan[a {0}]) has base type of cardinality τ(a) and has theory determined completely by the smallest n+2 elements of A {0} and thus by the smallest n + 1 elements of A. This completes the proof that a tangled web τ(a) is defined for all clan indices A dominated by a fixed α by setting τ(a) = P 2 (clan[a {α}] when the minimum of A is 0, and otherwise τ(a) = P 3 (clan[a {α, 0}]. 13

NF consistency proof, Cambridge working version

NF consistency proof, Cambridge working version NF consistency proof, Cambridge working version M. Randall Holmes 7/7/2016 10 AM Boise time: Cambridge working notes embedded in the whole paper (style and typo fixes 7/7) Contents 1 Introduction 4 2 The

More information

Quine s New Foundations is consistent

Quine s New Foundations is consistent arxiv:1503.01406v13 [math.lo] 2 Jan 2017 Quine s New Foundations is consistent Contents M. Randall Holmes 1/2/2017 3:30 PM: version to be submitted 1 Introduction (Abstract) 2 2 The simple theory of types

More information

FORCING WITH SEQUENCES OF MODELS OF TWO TYPES

FORCING WITH SEQUENCES OF MODELS OF TWO TYPES FORCING WITH SEQUENCES OF MODELS OF TWO TYPES ITAY NEEMAN Abstract. We present an approach to forcing with finite sequences of models that uses models of two types. This approach builds on earlier work

More information

DO FIVE OUT OF SIX ON EACH SET PROBLEM SET

DO FIVE OUT OF SIX ON EACH SET PROBLEM SET DO FIVE OUT OF SIX ON EACH SET PROBLEM SET 1. THE AXIOM OF FOUNDATION Early on in the book (page 6) it is indicated that throughout the formal development set is going to mean pure set, or set whose elements,

More information

Functions in Monadic Third Order Logic (and related topics)

Functions in Monadic Third Order Logic (and related topics) Functions in Monadic Third Order Logic (and related topics) M. Randall Holmes 8:30 am Boise time 6/30/2017 1 Higher order logics TST and TST 3 We start by formalizing higher order logic in order to carefully

More information

Isomorphisms between pattern classes

Isomorphisms between pattern classes Journal of Combinatorics olume 0, Number 0, 1 8, 0000 Isomorphisms between pattern classes M. H. Albert, M. D. Atkinson and Anders Claesson Isomorphisms φ : A B between pattern classes are considered.

More information

Short Introduction to Admissible Recursion Theory

Short Introduction to Admissible Recursion Theory Short Introduction to Admissible Recursion Theory Rachael Alvir November 2016 1 Axioms of KP and Admissible Sets An admissible set is a transitive set A satisfying the axioms of Kripke-Platek Set Theory

More information

The constructible universe

The constructible universe The constructible universe In this set of notes I want to sketch Gödel s proof that CH is consistent with the other axioms of set theory. Gödel s argument goes well beyond this result; his identification

More information

Jónsson posets and unary Jónsson algebras

Jónsson posets and unary Jónsson algebras Jónsson posets and unary Jónsson algebras Keith A. Kearnes and Greg Oman Abstract. We show that if P is an infinite poset whose proper order ideals have cardinality strictly less than P, and κ is a cardinal

More information

3 COUNTABILITY AND CONNECTEDNESS AXIOMS

3 COUNTABILITY AND CONNECTEDNESS AXIOMS 3 COUNTABILITY AND CONNECTEDNESS AXIOMS Definition 3.1 Let X be a topological space. A subset D of X is dense in X iff D = X. X is separable iff it contains a countable dense subset. X satisfies the first

More information

Axioms for Set Theory

Axioms for Set Theory Axioms for Set Theory The following is a subset of the Zermelo-Fraenkel axioms for set theory. In this setting, all objects are sets which are denoted by letters, e.g. x, y, X, Y. Equality is logical identity:

More information

A NOTE ON THE EIGHTFOLD WAY

A NOTE ON THE EIGHTFOLD WAY A NOTE ON THE EIGHTFOLD WAY THOMAS GILTON AND JOHN KRUEGER Abstract. Assuming the existence of a Mahlo cardinal, we construct a model in which there exists an ω 2 -Aronszajn tree, the ω 1 -approachability

More information

Löwenheim-Skolem Theorems, Countable Approximations, and L ω. David W. Kueker (Lecture Notes, Fall 2007)

Löwenheim-Skolem Theorems, Countable Approximations, and L ω. David W. Kueker (Lecture Notes, Fall 2007) Löwenheim-Skolem Theorems, Countable Approximations, and L ω 0. Introduction David W. Kueker (Lecture Notes, Fall 2007) In its simplest form the Löwenheim-Skolem Theorem for L ω1 ω states that if σ L ω1

More information

CHAPTER 8: EXPLORING R

CHAPTER 8: EXPLORING R CHAPTER 8: EXPLORING R LECTURE NOTES FOR MATH 378 (CSUSM, SPRING 2009). WAYNE AITKEN In the previous chapter we discussed the need for a complete ordered field. The field Q is not complete, so we constructed

More information

Generalized Pigeonhole Properties of Graphs and Oriented Graphs

Generalized Pigeonhole Properties of Graphs and Oriented Graphs Europ. J. Combinatorics (2002) 23, 257 274 doi:10.1006/eujc.2002.0574 Available online at http://www.idealibrary.com on Generalized Pigeonhole Properties of Graphs and Oriented Graphs ANTHONY BONATO, PETER

More information

Notes on ordinals and cardinals

Notes on ordinals and cardinals Notes on ordinals and cardinals Reed Solomon 1 Background Terminology We will use the following notation for the common number systems: N = {0, 1, 2,...} = the natural numbers Z = {..., 2, 1, 0, 1, 2,...}

More information

KRIPKE S THEORY OF TRUTH 1. INTRODUCTION

KRIPKE S THEORY OF TRUTH 1. INTRODUCTION KRIPKE S THEORY OF TRUTH RICHARD G HECK, JR 1. INTRODUCTION The purpose of this note is to give a simple, easily accessible proof of the existence of the minimal fixed point, and of various maximal fixed

More information

Mathematics in Three Types,

Mathematics in Three Types, Mathematics in Three Types, or, doing without ordered pairs M. Randall Holmes September 12, 2012 1 Aims of this talk We plan to discuss mathematical constructions, notably the definition of relations,

More information

Exercises for Unit VI (Infinite constructions in set theory)

Exercises for Unit VI (Infinite constructions in set theory) Exercises for Unit VI (Infinite constructions in set theory) VI.1 : Indexed families and set theoretic operations (Halmos, 4, 8 9; Lipschutz, 5.3 5.4) Lipschutz : 5.3 5.6, 5.29 5.32, 9.14 1. Generalize

More information

Hierarchy among Automata on Linear Orderings

Hierarchy among Automata on Linear Orderings Hierarchy among Automata on Linear Orderings Véronique Bruyère Institut d Informatique Université de Mons-Hainaut Olivier Carton LIAFA Université Paris 7 Abstract In a preceding paper, automata and rational

More information

Let us first solve the midterm problem 4 before we bring up the related issues.

Let us first solve the midterm problem 4 before we bring up the related issues. Math 310 Class Notes 6: Countability Let us first solve the midterm problem 4 before we bring up the related issues. Theorem 1. Let I n := {k N : k n}. Let f : I n N be a one-toone function and let Im(f)

More information

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations Page 1 Definitions Tuesday, May 8, 2018 12:23 AM Notations " " means "equals, by definition" the set of all real numbers the set of integers Denote a function from a set to a set by Denote the image of

More information

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ).

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ). Connectedness 1 Motivation Connectedness is the sort of topological property that students love. Its definition is intuitive and easy to understand, and it is a powerful tool in proofs of well-known results.

More information

Separating Hierarchy and Replacement

Separating Hierarchy and Replacement Separating Hierarchy and Replacement Randall Holmes 4/16/2017 1 pm This is a set of working notes, not a formal paper: where I am merely sketching what I think is true (or think might be true) I hope I

More information

CHODOUNSKY, DAVID, M.A. Relative Topological Properties. (2006) Directed by Dr. Jerry Vaughan. 48pp.

CHODOUNSKY, DAVID, M.A. Relative Topological Properties. (2006) Directed by Dr. Jerry Vaughan. 48pp. CHODOUNSKY, DAVID, M.A. Relative Topological Properties. (2006) Directed by Dr. Jerry Vaughan. 48pp. In this thesis we study the concepts of relative topological properties and give some basic facts and

More information

PROPER FORCING REMASTERED

PROPER FORCING REMASTERED PROPER FORCING REMASTERED BOBAN VELIČKOVIĆ AND GIORGIO VENTURI Abstract. We present the method introduced by Neeman of generalized side conditions with two types of models. We then discuss some applications:

More information

Representation of Functions and Total Antisymmetric Relations in Monadic Third Order Logic

Representation of Functions and Total Antisymmetric Relations in Monadic Third Order Logic Representation of Functions and Total Antisymmetric Relations in Monadic Third Order Logic M. Randall Holmes version with further revisions: 3:15 pm Boise time 11/15/2017 1 Higher order logics TST and

More information

Some Background Material

Some Background Material Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important

More information

1 Basic Combinatorics

1 Basic Combinatorics 1 Basic Combinatorics 1.1 Sets and sequences Sets. A set is an unordered collection of distinct objects. The objects are called elements of the set. We use braces to denote a set, for example, the set

More information

6 Cosets & Factor Groups

6 Cosets & Factor Groups 6 Cosets & Factor Groups The course becomes markedly more abstract at this point. Our primary goal is to break apart a group into subsets such that the set of subsets inherits a natural group structure.

More information

arxiv: v1 [math.fa] 14 Jul 2018

arxiv: v1 [math.fa] 14 Jul 2018 Construction of Regular Non-Atomic arxiv:180705437v1 [mathfa] 14 Jul 2018 Strictly-Positive Measures in Second-Countable Locally Compact Non-Atomic Hausdorff Spaces Abstract Jason Bentley Department of

More information

ω-stable Theories: Introduction

ω-stable Theories: Introduction ω-stable Theories: Introduction 1 ω - Stable/Totally Transcendental Theories Throughout let T be a complete theory in a countable language L having infinite models. For an L-structure M and A M let Sn

More information

Abstract Measure Theory

Abstract Measure Theory 2 Abstract Measure Theory Lebesgue measure is one of the premier examples of a measure on R d, but it is not the only measure and certainly not the only important measure on R d. Further, R d is not the

More information

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes These notes form a brief summary of what has been covered during the lectures. All the definitions must be memorized and understood. Statements

More information

DISCRETE MATH (A LITTLE) & BASIC GROUP THEORY - PART 3/3. Contents

DISCRETE MATH (A LITTLE) & BASIC GROUP THEORY - PART 3/3. Contents DISCRETE MATH (A LITTLE) & BASIC GROUP THEORY - PART 3/3 T.K.SUBRAHMONIAN MOOTHATHU Contents 1. Cayley s Theorem 1 2. The permutation group S n 2 3. Center of a group, and centralizers 4 4. Group actions

More information

Characterizing Ideal Weighted Threshold Secret Sharing

Characterizing Ideal Weighted Threshold Secret Sharing Characterizing Ideal Weighted Threshold Secret Sharing Amos Beimel Tamir Tassa Enav Weinreb August 12, 2004 Abstract Weighted threshold secret sharing was introduced by Shamir in his seminal work on secret

More information

Axioms of separation

Axioms of separation Axioms of separation These notes discuss the same topic as Sections 31, 32, 33, 34, 35, and also 7, 10 of Munkres book. Some notions (hereditarily normal, perfectly normal, collectionwise normal, monotonically

More information

Equational Logic. Chapter Syntax Terms and Term Algebras

Equational Logic. Chapter Syntax Terms and Term Algebras Chapter 2 Equational Logic 2.1 Syntax 2.1.1 Terms and Term Algebras The natural logic of algebra is equational logic, whose propositions are universally quantified identities between terms built up from

More information

Containment restrictions

Containment restrictions Containment restrictions Tibor Szabó Extremal Combinatorics, FU Berlin, WiSe 207 8 In this chapter we switch from studying constraints on the set operation intersection, to constraints on the set relation

More information

Math 300: Final Exam Practice Solutions

Math 300: Final Exam Practice Solutions Math 300: Final Exam Practice Solutions 1 Let A be the set of all real numbers which are zeros of polynomials with integer coefficients: A := {α R there exists p(x) = a n x n + + a 1 x + a 0 with all a

More information

HOW DO ULTRAFILTERS ACT ON THEORIES? THE CUT SPECTRUM AND TREETOPS

HOW DO ULTRAFILTERS ACT ON THEORIES? THE CUT SPECTRUM AND TREETOPS HOW DO ULTRAFILTERS ACT ON THEORIES? THE CUT SPECTRUM AND TREETOPS DIEGO ANDRES BEJARANO RAYO Abstract. We expand on and further explain the work by Malliaris and Shelah on the cofinality spectrum by doing

More information

2. Prime and Maximal Ideals

2. Prime and Maximal Ideals 18 Andreas Gathmann 2. Prime and Maximal Ideals There are two special kinds of ideals that are of particular importance, both algebraically and geometrically: the so-called prime and maximal ideals. Let

More information

DENSELY k-separable COMPACTA ARE DENSELY SEPARABLE

DENSELY k-separable COMPACTA ARE DENSELY SEPARABLE DENSELY k-separable COMPACTA ARE DENSELY SEPARABLE ALAN DOW AND ISTVÁN JUHÁSZ Abstract. A space has σ-compact tightness if the closures of σ-compact subsets determines the topology. We consider a dense

More information

CHAPTER 4. βs as a semigroup

CHAPTER 4. βs as a semigroup CHAPTER 4 βs as a semigroup In this chapter, we assume that (S, ) is an arbitrary semigroup, equipped with the discrete topology. As explained in Chapter 3, we will consider S as a (dense ) subset of its

More information

MAGIC Set theory. lecture 6

MAGIC Set theory. lecture 6 MAGIC Set theory lecture 6 David Asperó Delivered by Jonathan Kirby University of East Anglia 19 November 2014 Recall: We defined (V : 2 Ord) by recursion on Ord: V 0 = ; V +1 = P(V ) V = S {V : < } if

More information

COUNTABLE COMPACTNESS, HEREDITARY π CHARACTER, AND THE CONTINUUM HYPOTHESIS

COUNTABLE COMPACTNESS, HEREDITARY π CHARACTER, AND THE CONTINUUM HYPOTHESIS COUNTABLE COMPACTNESS, HEREDITARY π CHARACTER, AND THE CONTINUUM HYPOTHESIS TODD EISWORTH Abstract. We prove that the Continuum Hypothesis is consistent with the statement that countably compact regular

More information

Handout 2 (Correction of Handout 1 plus continued discussion/hw) Comments and Homework in Chapter 1

Handout 2 (Correction of Handout 1 plus continued discussion/hw) Comments and Homework in Chapter 1 22M:132 Fall 07 J. Simon Handout 2 (Correction of Handout 1 plus continued discussion/hw) Comments and Homework in Chapter 1 Chapter 1 contains material on sets, functions, relations, and cardinality that

More information

Math 455 Some notes on Cardinality and Transfinite Induction

Math 455 Some notes on Cardinality and Transfinite Induction Math 455 Some notes on Cardinality and Transfinite Induction (David Ross, UH-Manoa Dept. of Mathematics) 1 Cardinality Recall the following notions: function, relation, one-to-one, onto, on-to-one correspondence,

More information

20 Ordinals. Definition A set α is an ordinal iff: (i) α is transitive; and. (ii) α is linearly ordered by. Example 20.2.

20 Ordinals. Definition A set α is an ordinal iff: (i) α is transitive; and. (ii) α is linearly ordered by. Example 20.2. 20 Definition 20.1. A set α is an ordinal iff: (i) α is transitive; and (ii) α is linearly ordered by. Example 20.2. (a) Each natural number n is an ordinal. (b) ω is an ordinal. (a) ω {ω} is an ordinal.

More information

Lecture Notes 1 Basic Concepts of Mathematics MATH 352

Lecture Notes 1 Basic Concepts of Mathematics MATH 352 Lecture Notes 1 Basic Concepts of Mathematics MATH 352 Ivan Avramidi New Mexico Institute of Mining and Technology Socorro, NM 87801 June 3, 2004 Author: Ivan Avramidi; File: absmath.tex; Date: June 11,

More information

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School

Basic counting techniques. Periklis A. Papakonstantinou Rutgers Business School Basic counting techniques Periklis A. Papakonstantinou Rutgers Business School i LECTURE NOTES IN Elementary counting methods Periklis A. Papakonstantinou MSIS, Rutgers Business School ALL RIGHTS RESERVED

More information

Introductory Analysis I Fall 2014 Homework #5 Solutions

Introductory Analysis I Fall 2014 Homework #5 Solutions Introductory Analysis I Fall 2014 Homework #5 Solutions 6. Let M be a metric space, let C D M. Now we can think of C as a subset of the metric space M or as a subspace of the metric space D (D being a

More information

Combinatorial Structures

Combinatorial Structures Combinatorial Structures Contents 1 Permutations 1 Partitions.1 Ferrers diagrams....................................... Skew diagrams........................................ Dominance order......................................

More information

A n = A N = [ N, N] A n = A 1 = [ 1, 1]. n=1

A n = A N = [ N, N] A n = A 1 = [ 1, 1]. n=1 Math 235: Assignment 1 Solutions 1.1: For n N not zero, let A n = [ n, n] (The closed interval in R containing all real numbers x satisfying n x n). It is easy to see that we have the chain of inclusion

More information

5 Set Operations, Functions, and Counting

5 Set Operations, Functions, and Counting 5 Set Operations, Functions, and Counting Let N denote the positive integers, N 0 := N {0} be the non-negative integers and Z = N 0 ( N) the positive and negative integers including 0, Q the rational numbers,

More information

COMBINATORIAL GROUP THEORY NOTES

COMBINATORIAL GROUP THEORY NOTES COMBINATORIAL GROUP THEORY NOTES These are being written as a companion to Chapter 1 of Hatcher. The aim is to give a description of some of the group theory required to work with the fundamental groups

More information

Economics 204 Fall 2011 Problem Set 1 Suggested Solutions

Economics 204 Fall 2011 Problem Set 1 Suggested Solutions Economics 204 Fall 2011 Problem Set 1 Suggested Solutions 1. Suppose k is a positive integer. Use induction to prove the following two statements. (a) For all n N 0, the inequality (k 2 + n)! k 2n holds.

More information

Projective well-orderings of the reals and forcing axioms

Projective well-orderings of the reals and forcing axioms Projective well-orderings of the reals and forcing axioms Andrés Eduardo Department of Mathematics Boise State University 2011 North American Annual Meeting UC Berkeley, March 24 27, 2011 This is joint

More information

arxiv: v1 [math.co] 25 Jun 2014

arxiv: v1 [math.co] 25 Jun 2014 THE NON-PURE VERSION OF THE SIMPLEX AND THE BOUNDARY OF THE SIMPLEX NICOLÁS A. CAPITELLI arxiv:1406.6434v1 [math.co] 25 Jun 2014 Abstract. We introduce the non-pure versions of simplicial balls and spheres

More information

Free Subgroups of the Fundamental Group of the Hawaiian Earring

Free Subgroups of the Fundamental Group of the Hawaiian Earring Journal of Algebra 219, 598 605 (1999) Article ID jabr.1999.7912, available online at http://www.idealibrary.com on Free Subgroups of the Fundamental Group of the Hawaiian Earring Katsuya Eda School of

More information

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra

Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra Course 311: Michaelmas Term 2005 Part III: Topics in Commutative Algebra D. R. Wilkins Contents 3 Topics in Commutative Algebra 2 3.1 Rings and Fields......................... 2 3.2 Ideals...............................

More information

Countability. 1 Motivation. 2 Counting

Countability. 1 Motivation. 2 Counting Countability 1 Motivation In topology as well as other areas of mathematics, we deal with a lot of infinite sets. However, as we will gradually discover, some infinite sets are bigger than others. Countably

More information

Endomorphism rings generated using small numbers of elements arxiv:math/ v2 [math.ra] 10 Jun 2006

Endomorphism rings generated using small numbers of elements arxiv:math/ v2 [math.ra] 10 Jun 2006 Endomorphism rings generated using small numbers of elements arxiv:math/0508637v2 [mathra] 10 Jun 2006 Zachary Mesyan February 2, 2008 Abstract Let R be a ring, M a nonzero left R-module, and Ω an infinite

More information

On the strong cell decomposition property for weakly o-minimal structures

On the strong cell decomposition property for weakly o-minimal structures On the strong cell decomposition property for weakly o-minimal structures Roman Wencel 1 Instytut Matematyczny Uniwersytetu Wroc lawskiego ABSTRACT We consider a class of weakly o-minimal structures admitting

More information

There are infinitely many set variables, X 0, X 1,..., each of which is

There are infinitely many set variables, X 0, X 1,..., each of which is 4. Second Order Arithmetic and Reverse Mathematics 4.1. The Language of Second Order Arithmetic. We ve mentioned that Peano arithmetic is sufficient to carry out large portions of ordinary mathematics,

More information

5 Structure of 2-transitive groups

5 Structure of 2-transitive groups Structure of 2-transitive groups 25 5 Structure of 2-transitive groups Theorem 5.1 (Burnside) Let G be a 2-transitive permutation group on a set Ω. Then G possesses a unique minimal normal subgroup N and

More information

Tree sets. Reinhard Diestel

Tree sets. Reinhard Diestel 1 Tree sets Reinhard Diestel Abstract We study an abstract notion of tree structure which generalizes treedecompositions of graphs and matroids. Unlike tree-decompositions, which are too closely linked

More information

RELATIONS BETWEEN SOME CARDINALS IN THE ABSENCE OF THE AXIOM OF CHOICE

RELATIONS BETWEEN SOME CARDINALS IN THE ABSENCE OF THE AXIOM OF CHOICE RELATIONS BETWEEN SOME CARDINALS IN THE ABSENCE OF THE AXIOM OF CHOICE DEDICATED TO THE MEMORY OF PROF. HANS LÄUCHLI LORENZ HALBEISEN 1 AND SAHARON SHELAH 2 Abstract. If we assume the axiom of choice,

More information

The Axiom of Infinity, Quantum Field Theory, and Large Cardinals. Paul Corazza Maharishi University

The Axiom of Infinity, Quantum Field Theory, and Large Cardinals. Paul Corazza Maharishi University The Axiom of Infinity, Quantum Field Theory, and Large Cardinals Paul Corazza Maharishi University The Quest for an Axiomatic Foundation For Large Cardinals Gödel believed natural axioms would be found

More information

ON MATCHINGS IN GROUPS

ON MATCHINGS IN GROUPS ON MATCHINGS IN GROUPS JOZSEF LOSONCZY Abstract. A matching property conceived for lattices is examined in the context of an arbitrary abelian group. The Dyson e-transform and the Cauchy Davenport inequality

More information

The Axiom of Choice. Contents. 1 Motivation 2. 2 The Axiom of Choice 2. 3 Two powerful equivalents of AC 4. 4 Zorn s Lemma 5. 5 Using Zorn s Lemma 6

The Axiom of Choice. Contents. 1 Motivation 2. 2 The Axiom of Choice 2. 3 Two powerful equivalents of AC 4. 4 Zorn s Lemma 5. 5 Using Zorn s Lemma 6 The Axiom of Choice Contents 1 Motivation 2 2 The Axiom of Choice 2 3 Two powerful equivalents of AC 4 4 Zorn s Lemma 5 5 Using Zorn s Lemma 6 6 More equivalences of AC 11 7 Consequences of the Axiom of

More information

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite

More information

Characterizing Ideal Weighted Threshold Secret Sharing

Characterizing Ideal Weighted Threshold Secret Sharing Characterizing Ideal Weighted Threshold Secret Sharing Amos Beimel Tamir Tassa Enav Weinreb October 2, 2006 Abstract Weighted threshold secret sharing was introduced by Shamir in his seminal work on secret

More information

0 Sets and Induction. Sets

0 Sets and Induction. Sets 0 Sets and Induction Sets A set is an unordered collection of objects, called elements or members of the set. A set is said to contain its elements. We write a A to denote that a is an element of the set

More information

INDEPENDENCE OF THE CONTINUUM HYPOTHESIS

INDEPENDENCE OF THE CONTINUUM HYPOTHESIS INDEPENDENCE OF THE CONTINUUM HYPOTHESIS CAPSTONE MATT LUTHER 1 INDEPENDENCE OF THE CONTINUUM HYPOTHESIS 2 1. Introduction This paper will summarize many of the ideas from logic and set theory that are

More information

= ϕ r cos θ. 0 cos ξ sin ξ and sin ξ cos ξ. sin ξ 0 cos ξ

= ϕ r cos θ. 0 cos ξ sin ξ and sin ξ cos ξ. sin ξ 0 cos ξ 8. The Banach-Tarski paradox May, 2012 The Banach-Tarski paradox is that a unit ball in Euclidean -space can be decomposed into finitely many parts which can then be reassembled to form two unit balls

More information

FROM COHERENT TO FINITENESS SPACES

FROM COHERENT TO FINITENESS SPACES FROM COHERENT TO FINITENESS SPACES PIERRE HYVERNAT Laboratoire de Mathématiques, Université de Savoie, 73376 Le Bourget-du-Lac Cedex, France. e-mail address: Pierre.Hyvernat@univ-savoie.fr Abstract. This

More information

Meta-logic derivation rules

Meta-logic derivation rules Meta-logic derivation rules Hans Halvorson February 19, 2013 Recall that the goal of this course is to learn how to prove things about (as opposed to by means of ) classical first-order logic. So, we will

More information

The L 3 (4) near octagon

The L 3 (4) near octagon The L 3 (4) near octagon A. Bishnoi and B. De Bruyn October 8, 206 Abstract In recent work we constructed two new near octagons, one related to the finite simple group G 2 (4) and another one as a sub-near-octagon

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

MH 7500 THEOREMS. (iii) A = A; (iv) A B = A B. Theorem 5. If {A α : α Λ} is any collection of subsets of a space X, then

MH 7500 THEOREMS. (iii) A = A; (iv) A B = A B. Theorem 5. If {A α : α Λ} is any collection of subsets of a space X, then MH 7500 THEOREMS Definition. A topological space is an ordered pair (X, T ), where X is a set and T is a collection of subsets of X such that (i) T and X T ; (ii) U V T whenever U, V T ; (iii) U T whenever

More information

Seminaar Abstrakte Wiskunde Seminar in Abstract Mathematics Lecture notes in progress (27 March 2010)

Seminaar Abstrakte Wiskunde Seminar in Abstract Mathematics Lecture notes in progress (27 March 2010) http://math.sun.ac.za/amsc/sam Seminaar Abstrakte Wiskunde Seminar in Abstract Mathematics 2009-2010 Lecture notes in progress (27 March 2010) Contents 2009 Semester I: Elements 5 1. Cartesian product

More information

Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations

Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations D. R. Wilkins Academic Year 1996-7 1 Number Systems and Matrix Algebra Integers The whole numbers 0, ±1, ±2, ±3, ±4,...

More information

The Banach-Tarski paradox

The Banach-Tarski paradox The Banach-Tarski paradox 1 Non-measurable sets In these notes I want to present a proof of the Banach-Tarski paradox, a consequence of the axiom of choice that shows us that a naive understanding of the

More information

arxiv: v2 [math.gn] 1 Apr 2012

arxiv: v2 [math.gn] 1 Apr 2012 A VERY GENERAL COVERING PROPERTY arxiv:1105.4342v2 [math.gn] 1 Apr 2012 PAOLO LIPPARINI Abstract. We introduce a general notion of covering property, of which many classical definitions are particular

More information

THE CLOSED-POINT ZARISKI TOPOLOGY FOR IRREDUCIBLE REPRESENTATIONS. K. R. Goodearl and E. S. Letzter

THE CLOSED-POINT ZARISKI TOPOLOGY FOR IRREDUCIBLE REPRESENTATIONS. K. R. Goodearl and E. S. Letzter THE CLOSED-POINT ZARISKI TOPOLOGY FOR IRREDUCIBLE REPRESENTATIONS K. R. Goodearl and E. S. Letzter Abstract. In previous work, the second author introduced a topology, for spaces of irreducible representations,

More information

ORDERS OF ELEMENTS IN A GROUP

ORDERS OF ELEMENTS IN A GROUP ORDERS OF ELEMENTS IN A GROUP KEITH CONRAD 1. Introduction Let G be a group and g G. We say g has finite order if g n = e for some positive integer n. For example, 1 and i have finite order in C, since

More information

A topological set theory implied by ZF and GPK +

A topological set theory implied by ZF and GPK + 1 42 ISSN 1759-9008 1 A topological set theory implied by ZF and GPK + ANDREAS FACKLER Abstract: We present a system of axioms motivated by a topological intuition: The set of subsets of any set is a topology

More information

Chapter 8. P-adic numbers. 8.1 Absolute values

Chapter 8. P-adic numbers. 8.1 Absolute values Chapter 8 P-adic numbers Literature: N. Koblitz, p-adic Numbers, p-adic Analysis, and Zeta-Functions, 2nd edition, Graduate Texts in Mathematics 58, Springer Verlag 1984, corrected 2nd printing 1996, Chap.

More information

1 Algorithms for Permutation Groups

1 Algorithms for Permutation Groups AM 106/206: Applied Algebra Madhu Sudan Lecture Notes 9 October 3, 2016 References: Based on text by Akos Seress on Permutation Group Algorithms. Algorithm due to Sims. 1 Algorithms for Permutation Groups

More information

Topology Math Conrad Plaut

Topology Math Conrad Plaut Topology Math 467 2010 Conrad Plaut Contents Chapter 1. Background 1 1. Set Theory 1 2. Finite and Infinite Sets 3 3. Indexed Collections of Sets 4 Chapter 2. Topology of R and Beyond 7 1. The Topology

More information

Parity Versions of 2-Connectedness

Parity Versions of 2-Connectedness Parity Versions of 2-Connectedness C. Little Institute of Fundamental Sciences Massey University Palmerston North, New Zealand c.little@massey.ac.nz A. Vince Department of Mathematics University of Florida

More information

Expressing Security Properties Using Selective Interleaving Functions

Expressing Security Properties Using Selective Interleaving Functions Expressing Security Properties Using Selective Interleaving Functions Joseph Halpern and Sabina Petride August 8, 2008 Abstract McLean s notion of Selective Interleaving Functions (SIFs) is perhaps the

More information

Formal Epistemology: Lecture Notes. Horacio Arló-Costa Carnegie Mellon University

Formal Epistemology: Lecture Notes. Horacio Arló-Costa Carnegie Mellon University Formal Epistemology: Lecture Notes Horacio Arló-Costa Carnegie Mellon University hcosta@andrew.cmu.edu Logical preliminaries Let L 0 be a language containing a complete set of Boolean connectives, including

More information

Institut für Mathematik

Institut für Mathematik U n i v e r s i t ä t A u g s b u r g Institut für Mathematik Ali Ünlü, Silke Brandt, Dietrich Albert Test Surmise Relations, Test Knowledge Structures, and their Characterizations Preprint Nr. 035/2007

More information

6 Permutations Very little of this section comes from PJE.

6 Permutations Very little of this section comes from PJE. 6 Permutations Very little of this section comes from PJE Definition A permutation (p147 of a set A is a bijection ρ : A A Notation If A = {a b c } and ρ is a permutation on A we can express the action

More information

3. FORCING NOTION AND GENERIC FILTERS

3. FORCING NOTION AND GENERIC FILTERS 3. FORCING NOTION AND GENERIC FILTERS January 19, 2010 BOHUSLAV BALCAR, balcar@math.cas.cz 1 TOMÁŠ PAZÁK, pazak@math.cas.cz 1 JONATHAN VERNER, jonathan.verner@matfyz.cz 2 We now come to the important definition.

More information

(1) A frac = b : a, b A, b 0. We can define addition and multiplication of fractions as we normally would. a b + c d

(1) A frac = b : a, b A, b 0. We can define addition and multiplication of fractions as we normally would. a b + c d The Algebraic Method 0.1. Integral Domains. Emmy Noether and others quickly realized that the classical algebraic number theory of Dedekind could be abstracted completely. In particular, rings of integers

More information

Tallness and Level by Level Equivalence and Inequivalence

Tallness and Level by Level Equivalence and Inequivalence Tallness and Level by Level Equivalence and Inequivalence Arthur W. Apter Department of Mathematics Baruch College of CUNY New York, New York 10010 USA and The CUNY Graduate Center, Mathematics 365 Fifth

More information

Principles of Real Analysis I Fall I. The Real Number System

Principles of Real Analysis I Fall I. The Real Number System 21-355 Principles of Real Analysis I Fall 2004 I. The Real Number System The main goal of this course is to develop the theory of real-valued functions of one real variable in a systematic and rigorous

More information