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THE PROBABILITY OF RECTANGULAR UNIMODULAR MATRICES OVER F [x] q XIANGQIANGUOANDGUANGYUYANG Abstract. In this note, we compute the probability that a k×n matrix can be extended to an n×n invertible matrix over Fq[x], which turns out 1 to be (1−qk−n)(1−qk−1−n)···(1−q1−n). Connections with Dirichlet’s 1 density theorem on the co-prime integers and its various generalizations are 0 alsopresented. 2 l u J 1. introduction and main results 8 1 For any set A of positive integers, its natural density is defined as ] |A∩{1,2,...,N}| R (1) D(A):= lim , N→∞ N P . providedthelimitexists,where|·|denotesthecardinalityofthecorrespondingset. h Dirichlet [2] discovered an interesting density theorem that asserts the probability t a of two integers to be co-prime is 6/π2, that is, m |{(m,n)∈N2 : 16m,n6N,gcd(m,n)=1}| 6 [ (2) lim =ζ−1(2)= , N→∞ N2 π2 1 where gcd(m,n) denotes the greatest common divisor of m and n, and ζ(s) is the v 7 Riemann’s zeta function. Moreover,the probability of n integers to be co-prime is 6 (3) 3 3 lim |{(m1,...,mn)∈Nn : 16m1,...,mn 6N,gcd(m1,...,mn)=1}| =ζ−1(n). 7. N→∞ Nn 0 Kubota and Sugita [5] gave a rigorous probabilistic interpretation to Dirichlet’s 1 densitytheorem. Forthedeeplinksbetweenprobabilitytheoryandnumbertheory, 1 please refer to Tenenbaum [12], Kubilius [4] and Kac [3]. : v Denote by M (R) the set of all k × n matrices over a ring R. A matrix k×n i X A ∈ Mk×n(R) is called unimodular if it can be extended to an n×n invertible matrix. Using the conceptof unimodular, we can give a re-statementof Dirichlet’s r a densitytheoremanditsgeneralization: the probabilitythatarandom1×ninteger matrix is unimodular is ζ−1(n). Naturally, we can consider the matrix form of the Dirichlet’sdensitytheorem: theprobabilitythatarandomk×n(16k 6n)integer matrix is unimodular? The key is to define the analogous natural density for the sets of the integer matrices. Maze, Rosenthal and Wagner [7] studied this problem and obtained that the probability that a random k ×n matrix is unimodular is n ζ−1(j). Furthermore, [7] also gave some interesting historical remarks Qj=n−k+1 for Dirichlet’s density theorem. Then it is natural to consider the same question for matrices over polynomial rings of fields. As remarked in [7], the concept of natural density does not extend 2000 Mathematics Subject Classification. 11C99,15B33,60B15. Keywordsandphrases. Naturaldensity,unimodularmatrices,Riemann’szetafunction,q-zeta function,finitefield,polynomialring. 1 2 X.GUOANDG.YANG naturally to the ring F[x] for a general field F. Fortunately, this can be done for the finite fields. LetF beafinitefieldconsistingofq elements,andF [x]bethepolynomialring q q over F . To enumerate F [x], let Σ be the set of all vectors α = (a ,a ,···) with q q 0 1 a ∈{0,1,··· ,q−1} and a =0 for sufficiently large i. Then there is a one-to-one i i map χ:Σ→Z =N∪{0} defined by χ(a ,a ,···)= ∞ a qi. For convenience, we denote α =+χ−1(m) and m =χ(α). 0The1n for allPmi=∈0Zi , we set m α + ∞ f (x):= a xi, with α =(a ,a ,···). m X i m 0 1 i=0 By a rigorous probabilistic method, Sugita and Takanobu [10] determined the probability of two polynomials over F to be co-prime when q is a prime, that is, q |{(m,n)∈{0,1,...,N −1}2 : gcd(f ,f )=1}| 1 m n (4) lim =1− . N→∞ N2 q Recently,severalauthorsconsideredthequestionoftheprobabilityofnpolynomials to be co-prime in F [x]. Morrison[8] introduced a concept of natural density q |S∩F | (5) D(S):= lim d , S ⊆F [x], q e d→∞ |Fd| where F is the set of all the polynomials in F[x] with degree no more than d. He d first treated this problem in a heuristic way. Then through an elegant as well as rigorous argument, he deduced the following formula, (6) |{(f1,...,fn)∈Fnq[x]:gcd(f1,...,fn)=1,deg(fi)6d,16i6n}| 1 lim =1− . d→∞ |{f ∈Fq[x]: deg(f)6d}|n qn−1 BenjaminandBennett[1]alsostudiedthis problem;their methodsaremuchinter- esting using the Euclidean algorithm which is one of the oldest algorithms. Essen- tially, they also got the same conclusion. Our object in this paper is to extend the main results in [7] to the polynomial ringF [x]foranyprimepowerq,thatis,thematrixformoftheMorrison’stheorem q (6). Denote F=F andF[x]=F [x] for short. Let M:=M (F[x]) be the set of q q k×n all k×n matrices over F[x] and M be the subset of M consisting of all matrices N with entries in {f (x),f (x),··· ,f (x)}. For any subset S ⊆ M, we define the 0 1 N natural density of S in M to be |S∩M | N (7) D(S):= lim , N→∞ |MN| if the above limit (7) exists. Note that, in the special case k =1, the limit in (5) is just the limit of a subsequence in (7) with N = qd. Thus our definition of natural density is a more rigorous one. Todescribeourresult,i.e.,todeterminethenaturaldensityofk×nunimodular matrices over F[x], we introduce the following q-zeta function ∞ 1 1 (8) ζ (j):= (1− )−1 = (1− )−ϕm, q Y qjdeg(f) Y qjm f m=1 where f goes through all irreducible polynomials in F[x] and ϕ is the number of m irreducible polynomials in F[x] with degree m. In the above statements and what follows, by irreducible polynomials we always mean monic irreducible polynomials (the constant polynomial 1 is excluded as usual). Nowweare in the position to give our main result. THE PROBABILITY OF RECTANGULAR UNIMODULAR MATRICES OVER Fq[x] 3 Theorem 1. Let E be the set of all k×n unimodular matrices over F[x], then the natural density of E is ∞ n 1 1 (9) D(E)= (1− )= (1− )ϕm = ζ−1(j). Y qjdeg(f) Y qjm Y q f m=1 j=n−k+1 Remark 2. In other words, the probability that a k ×n polynomial matrix can be completed by an (n−k)×n matrix into an n×n invertible matrix over F[x] is n ζ−1(j). And via introducing the q-zeta function ζ (s), we obtain a Qj=n−k+1 q q similar formula to the one in [7] for integer matrices n D(E)= ζ−1(j), Y e j=n−k+1 where E denotes the set of all k×n unimodular matrices over Z. e Remark 3. There is an interesting equation ∞ 1 (10) (1−tdeg(f))−1 = qltl = , Y X 1−qt f l=0 where f is over all irreducible polynomials. For an interpretation of this equation, see [8]. Putting t=q−j,j ∈N in (10), we get 1 (11) ζ−1(j)=1− . q qj−1 Hence, we obtain an explicit formula for the natural density of E, 1 1 1 (12) D(E)=(1− )(1− )···(1− ), qn−k qn−k+1 qn−1 and an interesting identity concerning {ϕ }, m ∞ 1 1 (13) (1− )ϕm =1− , ∀j ∈N. Y qjm qj−1 m=1 Remark 4. In particular, if we put k = 1, Theorem 1 shows that the probability that n polynomials over the finite field F to be co-prime is ∞ 1 1 ζ−1(n)= (1− )ϕm =1− . q Y qnm qn−1 m=1 This extends Dirichlet’s density theorem (2) and yields the same conclusion as Morrison[8]andBenjaminandBennett[1]. However,noticingthatwehavedefined theconcept ofnaturaldensityinadifferentway fromthem, as wementionedbefore, one may find that our result actually is stronger than theirs. We end this section with some remarks on the square case k = n. One may notice that our proof of Theorem 1 in §2 does not apply to this case (also, ζ (1) is q not well defined in this case). However, we have the following result, Proposition 5. The natural density of n×n unimodular matrices over F [x] is 0. q Remark 6. The proof of Proposition 5 is quite simple and similar to the proof of Lemma 5 in [7], so we omit the details. If we make the convention that ζ−1(1)=0, q Theorem 1 also holds for k =n. 4 X.GUOANDG.YANG 2. Proof of Main result In this section, we shall give the proof of Theorem 1. Before this, we need some preparations. Let P be a finite set of irreducible polynomials in F[x] and P be the set of all irreducible polynomials in F[x]. Denote by E the set of all mbatrices A ∈ M = P M (F[x]) such that the gcd of all full rank minors (i.e., minors of rank k) is k×n co-prime to all elements in P. Recall that E is the set of all unimodular matrices inM,thatis,eachmatrixinE canbeextendedtoann×ninvertiblematrix. Itis well knownthat A∈M is unimodular if and only if the gcd of all full rank minors is 1 (See [9], [11] and [13] for more details). Thus we have E = E . TP P Lemma 7. Let E be defined as above, then we have P k−1 n (14) D(E )= (1−q(j−n)deg(f))= (1−q−jdeg(f)). P Y Y Y Y j=0f∈P j=n−k+1f∈P Proof. Denote f := f and d = deg(f ). For any positive integer N, P Qf∈P P P consider the maps, (15) π : M −→M (F[x]/(f )) N k×n P and (16) ψ : M (F[x]/(f ))−→M  F[x]/(f)−→ M (F[x]/(f)), k×n P k×n Y Y k×n f∈P  f∈P where (f ) and (f) denote the ideals generated by f and f respectively. Note P P that π is the canonical projection via modulo f and ψ is a composition of two P canonical isomorphisms as F vector spaces. Taken any A ∈ M . It is easy to see that A ∈ E if and only if the com- N P ponent of ψ ◦π(A) in M (F[x]/(f)) is full rank for each f ∈ P. Since f ∈ P k×n is irreducible, we know that F[x]/(f) ≃ F . Let F denote the set of qdeg(f) qdeg(f) all full rank k × n matrices over the finite field F . It is well known that qdeg(f) |F |= k−1(qndeg(f)−qjdeg(f)) (See [6] page 455, for example). qdeg(f) Qj=0 First suppose that N =mqdP −1 for some m∈N. Then it is easy to see {f (x): 06l 6N}={f (x)xdP +f (x): 06s6m−1,06t6qdP −1}. l s t For any fixed 06s6m−1, the following projection is one-to-one: {f (x)xdP +f (x): 06t6qdP −1}−→F[x]/(f ) s t P and the canonical projection {f (x): 06l 6N}−→F[x]/(f ) l P is m-to-one. As a result, the projection map π in (15) is mkn-to-one. Thus we obtain that |E ∩M |=mkn· |F | P N Y qdeg(f) f∈P k−1 =mkn· qndeg(f)(1−q(j−n)deg(f)) Y Y f∈Pj=0 k−1 (17) =(mqdP)kn· (1−q(j−n)deg(f)) Y Y f∈Pj=0 THE PROBABILITY OF RECTANGULAR UNIMODULAR MATRICES OVER Fq[x] 5 Now suppose that N is any positive integer. There exists some m,r ∈ Z such + that N +1 = mqdP +r with 0 6 r < qdP. For convenience, set N := mqdP −1. Then by the definition of the natural density, we have e |E ∩M | P N D(E )= lim P N→∞ |MN| (18) = lim |EP ∩MNe|+|EP ∩(MN −MNe)|. N→∞ (N +1)kn Note that |MN −MNe|6rkn(N +1)kn−1, which gives that (19) lim |EP ∩(MN −MNe)| =0. N→∞ (N +1)kn Thus, from (18), (19) and (17), we obtain D(E )= lim |EP ∩MNe| P N→∞ (N +1)kn (N +1−r)kn k−1(1−q(j−n)deg(f)) = lim Qf∈PQj=0 N→∞ (N +1)kn k−1 = (1−q−(n−j)deg(f)) Y Y f∈Pj=0 n = (1−q−jdeg(f)). Y Y j=n−k+1f∈P This completes the proof of Lemma 7. (cid:3) Proof of Theorem 1. Suppose that k < n. For any irreducible polynomial f ∈F [x], let H ⊆M be the set of all matrices whose gcd of all full rank minors q f is divisible by f. Denote q :=qdeg(f), then by Lemma 7, f D(H )=1−D(E ) f {f} n =1− (1−q−jdeg(f)) Y j=n−k+1 n <1−1− q−j X f  j=n−k+1  ∞ 1 2 < q−j = 6 . X f qn−k(q −1) q2 j=n−k+1 f f f Let P be the set of all irreducible polynomials with degree no more than t and t denote E =E . Since t Pt (E \E)⊆ H , t [ f b f∈P\Pt 6 X.GUOANDG.YANG we have limsup|(Et\E)∩MN| 6limsup|(Sf∈Pb\PtHf)∩MN| |M | |M | N→∞ N N→∞ N 6limsupPf∈Pb\Pt|Hf ∩MN| |M | N→∞ N |H ∩M | 6 limsup f N X |M | b N→∞ N f∈P\Pt 2 = D(H )6 X f X q2 b b f f∈P\Pt f∈P\Pt ∞ 2 2ϕ m = = . X q2deg(f) X q2m f∈Pb\Pt m=t+1 Itis wellknownthatallirreduciblepolynomials withdegreem candivide xqm−x, which has no multiple roots. Thus mϕ 6qm and m ∞ |(E \E)∩M | 2 limsup t N 6 |M | X mqm N→∞ N m=t+1 ∞ 2 2 6 = . X qm qt(q−1) m=t+1 Nownote thatE∩M ⊆E ∩M andE∩M =E ∩M −(E \E)∩M , N t N N t N t N which imply that |E∩M | |E ∩M | |(E \E)∩M | liminf N >liminf t N −limsup t N N→∞ |MN| N→∞ |MN| N→∞ |MN| 2 >D(E )− , t qt(q−1) and |E∩M | |E ∩M | |(E \E)∩M | limsup N 6limsup t N −liminf t N N→∞ |MN| N→∞ |MN| N→∞ |MN| 6D(E ), t for all t ∈ N. Let t tend to ∞, and recall that the number of monic irreducible polynomials with degree m in F[x] is ϕ . From Lemma 7 and the definition of m q-zeta function, we can conclude that |E∩M | N lim = lim D(E ) t N→∞ |MN| t→∞ n = lim (1−q−jdeg(f)) t→∞ Y Y j=n−k+1f∈Pt n t = lim (1−q−jm)ϕm t→∞ Y Y j=n−k+1m=1 n +∞ n = (1−q−jm)ϕm = ζ−1(j). Y Y Y q j=n−k+1m=1 j=n−k+1 This completes the proof of Theorem 1. (cid:3) THE PROBABILITY OF RECTANGULAR UNIMODULAR MATRICES OVER Fq[x] 7 References [1] A.T.BenjaminandC.D.Bennett,TheProbabilityofRelativelyPrimePolynomials.Math- ematics Magazine,80(3),2007, 196-202. [2] G. L. Dirichlet, U¨ber die Bestimmung der mittleren Werthe in der Zahlentheorie. Abhand- lungenK¨oniglichPreuss.Akad.Wiss.,1849,69-83;G.LejeuneDirichlet’sWerke.II,Chelsea, 1969,49-66. [3] M. Kac, Statistical independence in probability, analysis and number theory. The Carus MathematicalMonographs,No.12.PublishedbyMathematicalAssociationofAmerica.Dis- tributedbyJohnWileyandSons,Inc.,NewYork,1959. [4] J. Kubilius, Probabilistic methods in the theory of numbers. Translations of Mathematical Monographs,Vol.11,AmericanMathematical Society, 1964. [5] H.Kubota and H.Sugita, Probabilisticproof of limittheorems innumber theory bymeans ofadeles,Kyushu J. Math.,56,2002,391-404. [6] R.LidlandH.Niederreiter,Finite fields.CambridgeUniversityPress,Cambridge,1997. [7] G. Maze, J. Rosenthal and U. Wagner, Natural density of rectangular unimodular integer matrices.LinerAlgebbra and itsApplications, 434(5),2011, 1319-1324. [8] K. E. Morrison, Random Polynomials over Finite Fields. http://www.calpoly.edu/ kmorriso/Research/RPFF.pdf,1999. [9] D.Quillen,Projectivemodulesoverpolynomialrings.Invent. Math.,36,1976,167-171. [10] H.SugitaandS.Takanobu, TheprobabilityoftwoFq-polynomialstobecoprime.Advanced Studies inPure Mathematics,49,2007,455-478. [11] A. A.Suslin, Projective modules over polynomial ringsare free.Soviet Math., 4(17), 1976, 1160-1164. [12] G.Tenenbaum,Introduction toanalyticandprobabilistic numbertheory.CambridgeStudies inAdvanced Mathematics,Vol.46,CambridgeUniversityPress,Cambridge,1995. [13] D.C.YoulaandP.F.Pickel,TheQuillen-Suslintheoremandthestructureofn-dimensional elementarypolynomialmatrices.IEEE Trans. CircuitsSystems,31(6),1984, 513-518. (X.Guo)DepartmentofMathematics,ZhengzhouUniversity,HenanProvince,450001, China. E-mail address: [email protected] (G.Yang)DepartmentofMathematics,ZhengzhouUniversity,HenanProvince,450001, China. E-mail address: study [email protected]

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