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EIS property for dependence spaces AAA88, Warsaw Ewa Graczy nska, - - PowerPoint PPT Presentation

Outline Introduction Dependent and independent sets General properties Steinitz exchange theorem EIS property Bibliography EIS property for dependence spaces AAA88, Warsaw Ewa Graczy nska, Poland 1922 June 2014 Ewa Graczy


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Outline Introduction Dependent and independent sets General properties Steinitz’ exchange theorem EIS property Bibliography

EIS property for dependence spaces

AAA88, Warsaw Ewa Graczy´ nska, Poland 19–22 June 2014

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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Outline Introduction Dependent and independent sets General properties Steinitz’ exchange theorem EIS property Bibliography

Introduction Dependent and independent sets General properties Steinitz’ exchange theorem EIS property Bibliography

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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Outline Introduction Dependent and independent sets General properties Steinitz’ exchange theorem EIS property Bibliography

According to F. G´ ecseg, H. J¨ urgensen [3] the result which is usually referred to as the ”Exchange Lemma” states that for transitive dependence, every independent set can be extended to form a basis. In [5] we discussed some interplay between notions discussed in [2], [3] and [6], [7]. Another proof was presented there, of the result of N.J.S. Hughes [6] on Steinitz’ exchange theorem for infinite bases in connection with the notions of transitive dependence, independence and dimension as introduced in [6], [7]. In that proof we assumed Kuratowski-Zorn’s Lemma of [11], [12] as a requirement pointed in [6]. Later, in dependence spaces we extended the results to EIS property known in general algebra as Exchange of Independent Sets Property.

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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We use a modification of the the notation of [6]–[7]: a, b, c, ..., x, y, z, ... (with or without suffices) to denote the elements of a space S and A, B, C, ..., X, Y , Z, ..., for subsets of S. ∆, S denote a family of subsets of S, n is always a positive integer. A ∪ B denotes the union of sets A and B, A + B denotes the disjoint union of A and B, A − B denotes the difference of A and B, i.e. is the set of those elements of A which are not in B.

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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The following definitions are due to N.J.S. Hughes, invented in 1962 in [6], if there is defined a set ∆, whose members are finite subsets of S, each containing at least 2 elements:

Definition

A set A is called directly dependent if A ∈ ∆.

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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Definition

An element x is called dependent on A and is denoted by x ∼ ΣA if either x ∈ A or if there exist distinct elements x0, x1, ..., xn such that (1) {x0, x1, ..., xn} ∈ ∆ where x0 = x and x1, ..., xn ∈ A and directly dependent on {x} or {x1, ..., xn}, respectively.

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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Outline Introduction Dependent and independent sets General properties Steinitz’ exchange theorem EIS property Bibliography

Definition

A set A is called dependent (with respect to ∆) if (1) is satisfied for some distinct elements x0, x1, ..., xn ∈ A. Otherwise A is independent.

Definition

A is called a basis of S, if a set A is a subset of S which is independent and for any x ∈ S, x ∼ ΣA, i.e. every element x of S is dependent on A.

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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A similar definition of a dependence D was introduced in [3]. In the paper authors based on the theory of dependence in universal algebras as outlined in [2]. We accept the well known:

Definition

The span < X > of a subset X of S is the set of all elements of S which depends on X, i.e. x ∈< X > iff x ∼ ΣX.

Definition

TRANSITIVITY AXIOM: If x ∼ ΣA and for all a ∈ A, a ∼ ΣB, then x ∼ ΣB.

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Definition

A set S is called a dependence space if there is defined a set ∆, whose members are finite subsets of S, each containing at least 2 elements, and if the Transitivity Axiom is satisfied. Since then S will always be a dependence space satisfying the transitivity axiom.

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Remark

Equivalently, transitivity was defined in [3] in the following way: the dependence is said to be transitive if < X >=<< X >> for every subset X of S. Transitive dependence systems have been studied under several different names (cf. [13], p. 7). The collection of independent sets

  • f a dependent space on a finite set is known as a matroid [13].

The basic results on the interplay between algebraic closure

  • perators with exchange property of [2] and (transitive)

dependence spaces were formulated as conditions (1) and (2) in Theorem 3.8 and conditions (1) – (3) of Lemma 3.9 of [3].

Ewa Graczy´ nska, Poland EIS property for dependence spaces

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Given a transitive dependence space S. One may consider the

  • perator <> on subsets X of S as a generalized closure operator,

i.e. extensive, monotone and idempotent mapping (cf. e.g. Birkhoff [1]). Obviously, by the definition, the closure operator <> in S has finite character (see [10], p. 647), i.e. for every subset X

  • f S it satisfies the property:

(F) < X >= < F >, where F runs over the family of all finite subsets of X.

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In Linear Algebra, Steinitz’ exchange Lemma states that: if a ∈< A ∪ {b} > and a ∈< A >, then b ∈< A ∪ {a} >. In particular, if A is independent and a ∈< A >, then: A ∪ {a} is independent.

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The following lemma is a generalization of the result of P.M. Cohn [2] (cf. the property (E) of [10], p. 206, called there an exchange

  • f an independent sets or Theorem 3.8 of [3], p. 426):

Lemma

In a dependence space S, assume that: a ∈< A ∪ {b} > and a ∈< A >. Then b ∈< A ∪ {a} >.

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Proof If a ∈< A ∪ {b} > − < A >, then there exists a1, ..., an ∈ A, such that a ∼ Σ{b, a1, ..., an}, i.e. {a, a1, ...an, b} ∈ ∆. Therefore b ∈< {a} ∪ A >. ✷ It is clear, that for an independent set A, one gets for each a ∈ A, that a ∈< A − {a} >.

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The EIS (exchange of independent sets) property was introduced by A. Hulanicki, E. Marczewski, E. Mycielski in [8]. First we recall their original definition of EIS property (see [8], [10] p. 647–659). In their paper they use the terminology and notation of [9] (with slight modifications). An abstract algebra is a (nonempty) set with a family of fundamental finitary operations. For any nonempty set E ⊂ A, C(E) denotes the subalgebra generated by E, C(∅) is denoting the set of algebraic constants (i.e. the values of the constant algebraic operations).

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The operation C has finite character, i.e. for every E ⊂ A, the following holds: (2) C(E) = C(F), where F runs over the family of all finite subsets of F of E. The following theorem about exchange of independent sets is true for all algebras (see [9], p. 58, theorem 2.4 (ii)):

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Theorem (E. Marczewski)

Let P, Q and R be subsets of an algebra. If (3) P ∪ Q is independent, (4) P ∩ Q = ∅, (5) R is independent, (6) C(R) = C(Q), then P ∪ R is independent.

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As the authors of [8] noticed, it might seem at first glance that the relation C(R) = C(Q) could be replaced by a weaker one: R ⊂ C(Q). Since, as it can be seen from the results of [8] p. 204, this is not generally true, the authors say that an algebra satisfies the condition of exchange of independent sets (EIS) whenever for any subsets P, Q and R of it, the relations: P ∪ Q is independent, P ∩ Q = ∅, R is independent and R ⊂ C(Q) imply that P ∪ R is independent.

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It seems to be worth of mentioning, that the results of the paper [8] have been presented without proofs by E. Marczewski in his lecture Independence in abstract algebras. Result and problems to the Conference on General Algebra, held in Warsaw, September 11-17, 1964. In the 70ties several algebraists were dealing with problems of the satisfaction of EIS-property in several algebras. Among them, one

  • f the first were: A. Hulnicki, W. Narkiewicz, Jerzy P

lonka, J. Schmidt, S. ´ Swierczkowski, Tadeusz Traczyk and many others. Some problems were announced in the New Scottish Book at Wroc law University.

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We transform the original definition of EIS property from algebras to dependence spaces in the natural way:

Definition

A dependence space S satisfies the EIS property, if for arbitrary subsets P, Q and R of S the conditions: (7) P ∩ Q = ∅; (8) P ∪ Q is an independent set in S; (9) R is an independent set in S, R ⊆< Q >; altogether imply that: (10) P ∪ R is an independent set.

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Theorem

In a dependence space S, the EIS property holds.

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Proof Assume (7) – (9). To show (10) assume a contrario that P ∪ R is a dependent set. Therefore there exist (all different) elements a1, ..., an, b1, ..., bm ∈ P ∪ R with a1, ..., an ∈ P and b1, ..., bm ∈ R and such that {a1, ..., an, b1, ..., bm} ∈ ∆. From (7) and (9) it follows that there exists an element a1 ∈ P such that a1 ∼ Σ{a2, ..., an, b1, ..., bm}, i.e. a1 ∼ Σ((P − {a1}) ∪ R). But for very element b ∈ R, b ∼ ΣQ, therefore b ∼ Σ((P − {a1}) ∪ Q). Moreover, c ∼ Σ((P ∪ Q) − {a1}), for every c ∈ ((P − {a1}) ∪ R). Thus, by the transitivity axiom a1 ∼ Σ((P ∪ Q) − {a1})). That contradicts (8), as a1 ∈ P ∪ Q and it is clear, that for an independent set A, one gets for each a ∈ A, that a ∈< A − {a} >. ✷

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Remark

The theorem above may be easily proved via THEOREM of [8] (see [8], p. 207 or [10], p. 651), which states, that if a generalized closure operator (here <>) has finite character and Steinitz exchange property, then it satisfies the condition of exchange of independent sets.

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[1] Birkhoff G., Lattice theory, New York, 1948. [2] Cohn P.M., Universal Algebra, Harper and Row, New York,

  • 1965. Revised edition, D. Reidel Publishing Co., Dordrecht, 1981.

[3] G´ ecseg F., J¨ urgensen H., Algebras with dimension, Algebra Universalis, 30 (1993) 422–446. [4] Gr¨ atzer, G. Universal Algebra, 1st ed., Van Nostrand Company, Inc., 1968.

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[5] Graczy´ nska, E., Dependence spaces, Bulletin of the Section of Logic, vol. 39/3, 2010, 30, p. 153–160. [6] Hughes N.J.S., Steinitz’ Exchange Theorem for Infinite Bases, Compositio Mathematica, tome 15, 1962–1964, p. 113–118. [7] Hughes N.J.S., Steinitz’ Exchange Theorem for Infinite Bases II, Compositio Mathematica, tome 17, 1965-1966, p. 152–155.

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[8] Hulanicki A., Marczewski E., Mycielski A., Exchange of independent sets in abstract algebras I, Coll. Math. 14, 1966, 203–215. [9] Marczewski E, Independence and Homomorphisms in Abstract Algebras, Fund. Math. 50, 1961, 56–61. [10] Marczewski E., Collected Mathematical Papers, Polish Academy of Science, Institute of Mathematics, Warsaw 1996.

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[11] Kuratowski K., Une mthode d’´ elimination des nombres transfinis des raisonnements math´ ematiques, Fund. Math. 3 (1922), p. 89. [12] Kuratowski K., Mostowski A., Teoria Mnogo´ sci, PWN, Warszawa 1966. [13] Welsh, D.J.A., Matroid Theory, Academic Press, London, 1976.

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