Reduced Incidence algebras description of cobweb posets and KoDAGs

After identifying the reduced incidence algebra of an arbitrary cobweb poset the very first properties of these algebras are being disclosed.

Authors: Ewa Krot-Sieniawska

Reduced Incidence algebras description of c ob w eb p osets and KoD A Gs Ew a Krot-Sieniaw sk a Institute of Computer Scie nce, Bia lystok Univ ersit y PL-15-887 Bia lystok, ul.Sosnow a 64, POLAND e-mail: ew akrot@wp.pl, ew akrot@ii.u wb.e du.pl Abstract The notion of reduced incidence alg ebra of an arbitra r y cobw eb p oset is delivered. KEY WORDS: cobw eb po set, incidence algebra of lo cally finite p oset, order com- patible equiv alence relatio n, reduced incidenc e a lgebra . AMS C la ssification num bers : 06A06, 06A07, 0 6A11, 11C08, 11B37 Presented a t Gian-Carlo Rota Polish Semina r : http://ii.u wb.edu.pl/akk/sem/s e m rota.htm 1 Cob w eb p osets The family of th e so called cob w eb po sets Π has be en inv ented by A.K.K w a´ sniewski few years ago (for refer ences s e e : [5, 6]). These structures are such a gener alization of the Fib onacci tree growth that allo ws joint combinatorial interpretation for all of them under the admissibility condition (se e [7, 8]). Let { F n } n ≥ 0 be a natural n um ber s v alued sequence with F 0 = 1 (with F 0 = 0 being exceptional as in case of Fibonacci num bers ). An y sequence satisfying this prop ert y uniquely designates cobw eb p oset defined as follows. F or s ∈ N 0 = N ∪ { 0 } let us to define levels of Π: Φ s = {h j, s i , 1 ≤ j ≤ F s } , (in case o f F 0 = 0 level Φ 0 corres p onds to the empt y ro ot {∅} ). ) Then Definition 1. Corr esp onding c obweb p oset is an infinit e p artial ly or der e d set Π = ( V , ≤ ) , wher e V = [ 0 ≤ s Φ s 1 ar e the elements ( vertic es) of Π and the p artial or der r elatio n ≤ on V for x = h s, t i , y = h u, v i b eing elements of c obweb p oset Π is define d by formula ( x ≤ P y ) ⇐ ⇒ [( t < v ) ∨ ( t = v ∧ s = u )] . Obviously a n y cobw eb p oset can b e repres en ted, via its Hasse diag ram, as infinite directed graf Π = ( V , E ), where set V of its vertices is defined as a bov e and E = { ( h j, p i , h q, ( p + 1) i ) } ∪ { ( h 1 , 0 i , h 1 , 1 i ) } , where 1 ≤ j ≤ F p and 1 ≤ q ≤ F ( p +1) stays for set of (dire cted) edges. The K w a ´ sniewski cobw eb p osets under co nsideration represented by graphs are ex- amples of o derable directed acyclic graphs (oDA G) whic h we start to ca ll from now in brief: KoD A Gs. These are s tructures of universal impor tance fo r the whole of mathematics - in particular for discrete ”‘mathemagics”’ [h ttp://ii.uwb.edu.pl/akk/ ] and co mput er sciences in general (quotation from [7 , 8] ): F or any g iv en natural n umber s v alued sequence the graded (lay ered) cobw e b p osets‘ D A Gs ar e equiv alently representations of a chain of bi- nary rela tions. Every relation o f the cobw eb p oset chain is biunivocally represented b y the uniquely designated complete bipar tite digr aph-a digraph whic h is a di-bicliq ue designated by the very given sequence. The cobw eb p oset is then to be identified with a c hain of di- bicliques i.e. by definition - a chain of complete bipartite one direction digraphs. An y chain of relations is therefor e o btainable fr om the co b w eb p oset chain of co mplete r elations via deleting arcs (ar ro ws) in di-bicliques. According to the definition abov e arbitrary cobweb p oset Π = ( V , ≤ ) is a gra ded po set (ranked p oset) a nd for s ∈ N 0 : x ∈ Φ s − → r ( x ) = s, where r : Π → N 0 is a r ank function on Π. Let us then define Kwa ´ sniews ki finite cobw eb s ub- posets as follows Definition 2. L et P n = ( V n , ≤ ) , ( n ≥ 0) , for V n = [ 0 ≤ s ≤ n Φ s and ≤ b eing t he induc e d p artial or der r elation on Π . Its easy to see that P n is ranked po set with rank function r as above. P n has a unique minimal elemen t 0 = h 1 , 0 i ( w ith r (0) = 0). Mor eo v er Π a nd all P n s are lo cally finite, i.e. for a n y pair x, y ∈ Π, the se gmen t [ x, y ] = { z ∈ Π : x ≤ z ≤ y } is finite. Let us rec a ll that one defines the incidence algebra o f a lo cally finite partially ordered set P as follows (see [9, 10, 11]): I ( P ) = I ( P, R ) = { f : P × P − → R ; f ( x, y ) = 0 unl ess x ≤ y } . 2 The sum of tw o such functions f and g and multiplication by scalar ar e defined as usual. The pro duct h = f ∗ g is defined as follows: h ( x, y ) = ( f ∗ g )( x, y ) = X z ∈ P : x ≤ z ≤ y f ( x, z ) · g ( z , y ) . It is immediately verified that this is an asso ciative algebr a (with an identit y element δ ( x, y ), the Kr o nec k er delta), ov er any asso ciative ring R. In [4] the incidence alg ebra of an arbitra r y cobw e b p oset Π ( or its subp osets P n ) uniquely designated by the natural num bers v alued sequence { F n } n ≥ 0 , was considered by the prese n t author . The explicit for m ula s for s o me typical elemen ts of incidence algebra I (Π) o f Π wher e delivered there. So for x, y being so me a rbitrary elemen ts of Π such that x = h s, t i , y = h u, v i , ( s, u ∈ N , t, v ∈ N 0 ), 1 ≤ s ≤ F t and 1 ≤ u ≤ F v one has: (1) ζ function of Π b eing a character istic function of par tial or der in Π ζ ( x, y ) = ζ ( h s, t i , h u, v i ) = δ ( s, u ) δ ( t, v ) + ∞ X k =1 δ ( t + k , v ) , (1) one c a n also verify , that ζ k enum erates all m ultic hains of leng th k , (2) M¨ obius function of Π being a inv e rse of ζ µ ( x, y ) = δ ( t, v ) δ ( s, u ) − δ ( t + 1 , v ) + ∞ X k =2 δ ( t + k, v )( − 1) k v − 1 Y i = t +1 ( F i − 1) , (2) (3) function ζ 2 = ζ ∗ ζ coun ting the num b er of elemen ts in the segment [ x, y ] ζ 2 ( x, y ) = car d [ x, y ] = v − 1 X i = t +1 F i ! + 2 , (3) (4) function η η ( x, y ) = ∞ X k =1 δ ( t + k, v ) =  1 t < v 0 w p.p. , (4) (5) function η k ( x, y ) , ( k ∈ N ) counting the n um ber of chains of length k , (with ( k + 1 ) elements) from x to y η k ( x, y ) = X x n. Definition 3. L et [ x, y ] ∈ α k, n . F or l ∈ N 0 one c an define the incidenc e c o efficients in R (Π) as fol lows  k , n l  = |{ z ∈ [ x, y ] : [ x, z ] ∈ ( k , l ) ∧ [ z , y ] ∈ ( l , n ) }| . (12) The the following formula holds. Prop osition 1.  k , n l  =  F l k ≤ l ≤ n 0 otherv ise (13) Now one can define the pr oduct ∗ in R (Π) as follows. Prop osition 2. L et [ x, y ] ∈ ( k , n ) , ( k ≤ n ) and f , g ∈ R (Π) . The n ( f ∗ g )( k , n ) = X l ≥ 0 F l f ( k , l ) g ( l , n ) (14) with the assumption that ( k , n ) = ∅ , for l < k or l > n . Pr o of. ( f ∗ g )( k, n ) = ( f ∗ g )( x, y ) = X x ≤ z ≤ y f ( x, z ) g ( z , y ) = X k ≤ l ≤ n X { z :[ x,z ] ∈ ( k, l ) , [ z ,y ] ∈ ( l, n ) } f ( x, z ) g ( z , y ) = X k ≤ l ≤ n F l f ( k , l ) g ( l , n ) = X l ≥ 0 F l f ( k , l ) g ( l , n ) , 5 So we hav e prov ed Theorem 1. L et F = { F n } n ≥ 0 z F 0 = 1 , b e an a rbitr ary natur al numb ers value d se quenc e with F 0 = 1 (with F 0 = 0 b eing exc eptional). The the numb ers F n ( n ≥ 0 ) ar e the incidenc e c o efficients in the st anda r d r e duc e d algebr a R (Π) of c obweb p oset Π u n iquely designate d by the se qu en c e F = { F n } n ≥ 0 . One can also show the following Theorem 2. L et f ∈ R (Π) . Then fo r x, y ∈ Π such that [ x, y ] ∈ ( k , n ) t he value f ( x, y ) dep ends on r ( x ) = k and r ( y ) = n ) only, i.e. f ( x, y ) = f ( k , n ) = f ( r ( x ) , r ( y )) . (15) F r om the definition of p artial or der on Π one c an also infer that for x, y ∈ Π satisfying r ( x ) = r ( y ) and for f ∈ I (Π) , one has f ( x, y ) = δ ( x, y ) . It is known that all elemen ts of I (Π) mentioned abov e, i.e. functions: ζ , µ , ζ 2 , ζ k , η , η k , C , C − 1 , χ , χ k , M , M − 1 are the elements of a n ar bitrary reduced incidence algebra R (Π , ∼ ), (i.e. mo dulo an arbitra ry order co mpatible equiv alence relatione ∼ on S (Π)). Then the next results follows immediately from this fact and ab o v e theore ms . Corollary 1. L et ( k , n ) ∈ T . Then: ζ ( k , n ) =  1 k ≤ n 0 k > n ; (16) ζ 2 ( k , n ) =      n − 1 X i = k F i ! + 2 k ≤ n 0 k > n ; (17) η ( k, n ) = δ k n ; (19) η s ( k , n ) =    X k n ; (20) C ( k , n ) =    1 k = n − 1 k < n 0 k > n ; (21) 6 χ ( k , n ) = δ ( k + 1 , n ); (22) χ s ( k , n ) = δ ( k + s, n ) · F k +1 F k +2 ...F n − 1 ; (23) µ ( k , n ) =      ( − 1) n − k n − 1 Y i = k +1 ( F i − 1) k ≤ n 0 k > n . (24) Corollary 2. The standar d r e duc e d incidenc e algebr a R (Π) is the maximal ly r e- duc e d incidenc e algebr a R (Π) , i.e. the smal lest r e duc e d incidenc e algebr a on Π . Equivalently t he e quivalenc e r elation define d by (10) is the maximal element in the lattic e of al l or der c omp atible e quivalenc e r elations on S (Π) . Ac knowledgement s Discussions with Participan ts of Gian-Carlo Ro ta Polish Seminar, ht tp://ii.uwb.edu.pl/akk/sem/sem rota.htm are hig hly apprec iated. References [1] Doubilet P ., Rota G.C., Stanley R.P .: O n the foundations of combinatorial theory VI. The idea of gener ating function, In 6th Berkeley Symp. Math. Stat. Prob. vol. 2 (19 72), p. 267- 318. [2] Kr ot E .: The first as cen t into the Fibo nacci Cobw eb Poset, Adv anced Studies in Co n temp orary Mathematics 11 (2005), No. 2 , p.179-184 , ArXiv: math.CO/041 1007 , cs.DM ht tp://arxiv .o rg/abs/math/0 411007 [3] Kr ot-Sienia wsk a E.: On Chara c teristic Polynomials o f the F a mily of Cobw eb Posets, arXiv:0802 .2696 , cs .DM http://arxiv.o rg/abs/08 0 2.2696 , submitt e d to: Gr aphs and Combinatorics [4] Kr ot-Sienia wsk a E .: On incidence algebras description of cobw eb pos ets, arXiv:080 2.3703 , cs.DM http://arxiv.or g/abs/0802.3703 [5] Kwa ´ sniewski A.K.: Cobw eb p osets as noncommutativ e prefabs, Adv. Stud. Contemp. 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