Cohen-Lenstra heuristics and random matrix theory over finite fields

Size: px
Start display at page:

Download "Cohen-Lenstra heuristics and random matrix theory over finite fields"

Transcription

1 Cohen-Lenstra heurstcs and random matrx theory over fnte felds Jason Fulman Department of Mathematcs, Unversty of Southern Calforna, Los Angeles, CA, E-mal address: Abstract. Let g be a random element of a fnte classcal group G, and let λ z (g) denote the partton correspondng to the polynomal z n the ratonal canoncal form of g. As the rank of G tends to nfnty, λ z (g) tends to a partton dstrbuted accordng to a Cohen-Lenstra type measure on parttons. We gve sharp upper and lower bounds on the total varaton dstance between the random partton λ z (g) and the Cohen-Lenstra type measure.. Introducton The study of conjugacy classes of random elements of a group s an actve subject. Indeed, for symmetrc groups two elements are conjugate f and only f they have the same cycle structure, so ths amounts to the study of the cycle structure of random permutatons. And for the untary groups U(n, C), two elements are conjugate f and only f they have the same set of egenvalues, so ths amounts to the study of egenvalues of random matrces. Motvated by these consderatons (and unaware of the Cohen-Lenstra heurstcs of number theory), the author, n a seres of papers [F], [F3], [FG], [FST], nvestgated the conjugacy classes of random elements of a fnte classcal group. Two elements of GL(n, q) are conjugate f and only f they have the same ratonal canoncal form [H]. Moreover, f g s an element of a fnte classcal group, there s a partton λ z (g) correspondng to the polynomal z n the ratonal canoncal form of g. Lettng the rank of G tend to nfnty, we proved that ths random partton has a lmtng dstrbuton. For example f G = GL(n, q), one obtans the dstrbuton P GL on the set of all parttons of all non-negatve ntegers, whch chooses λ wth Key words and phrases. random matrx, random partton, Cohen-Lenstra heurstc. 00 AMS Subject Classfcaton: 5B5, 60B0. Date: June 9, 03. Fulman was partally supported by NSA grant H

2 JASON FULMAN probablty P GL (λ) = ( /q ) Aut(λ), where Aut(λ) denotes the automorphsm group of a fnte abelan group of type λ. We became fascnated wth the combnatorcs of such random parttons arsng from random matrx theory over fnte felds. In the papers [F], [F3], [FG], [FST], we lnked them to the Hall-Lttlewood polynomals of symmetrc functon theory, and developed and appled probablstc algorthms for growng such random parttons. We were delghted to recently learn from Lengler [L] that our work on random parttons s related to the Cohen-Lenstra heurstcs [CL] of number theory. Indeed, Cohen and Lenstra study random parttons chosen wth probablty ( /q ) Aut(λ), exactly the same formula as n our constructon n the GL case. It s beyond the scope of ths paper to offer any sort of survey of Cohen-Lenstra heurstcs, but we can assure the reader that research n the area s actve and ongong, wth contrbutons from Bhargava, Malle, Ellenberg, Venkatesh, Poonen, Rans, and many others. We can recommend the papers [D], [EV], and the many references theren. We are confdent that all of the random parttons studed n the current paper wll turn out to be related to Cohen-Lenstra heurstcs. Indeed, our random parttons n the symplectc case were recently redscovered n the Cohen-Lenstra context [Ac]. One of the goals of the current paper s to collect n one place all of the formulas for random parttons arsng from random matrces over fnte felds. These are currently scattered n the lterature. A second goal of the current paper s to quantfy the convergence of the random parttons λ z (g) to ther lmt dstrbutons. Recall that the total varaton dstance P Q T V between two probablty dstrbutons on a set X s defned as P Q T V = P (x Q(x). x X Let Λ GL,z,n denote the measure on parttons of sze at most n arsng by takng the partton correspondng to the polynomal z n the ratonal canoncal form of a random element of GL(n, q). One of the results of ths paper s the sharp bound:.38 q n+ P GL Λ GL,z,n T V q n+. Ths s more explct and sharper than a smlar recent result of Maples [Map], though we note that Maples man nterest s dfferent than ours: he proves unversalty of the dstrbuton P GL for matrx ensembles where the

3 Cohen-Lenstra heurstcs and random matrx theory 3 entres are d, but not necessarly unform. We prove smlar sharp bounds for the fnte untary, symplectc, and orthogonal groups, n both odd and even characterstc (where thngs can dffer). In terms of future work, t would be worthwhle to further explore the connectons n [F] made between symmetrc functon theory (Hall-Lttlewood polynomals) and random parttons arsng from fnte classcal groups. In fact n work complementary to ours, Okounkov [O], [O], [O3] makes many nterestng connectons between symmetrc functon theory (but not Hall- Lttlewood polynomals) and random parttons (but not Cohen-Lenstra type measures). In fact one of hs constructons, namely the defnton of random parttons from Macdonald polynomals, was made ndependently n [F]. It would be very nterestng to adapt Okounkov s methods to our settng. The organzaton of ths paper s as follows. Secton treats random parttons arsng from the fnte general lnear groups. The untary case s treated n Secton 3 and the symplectc case s treated n Secton. Secton 5 treats random parttons arsng from the fnte orthogonal groups, and s splt nto two subsectons, whch consder odd and even characterstc respectvely.. General lnear groups The Cohen-Lenstra measure [CL] s a probablty dstrbuton on the set of all parttons of all non-negatve ntegers. We denote ths measure by P GL, snce analogs for other fnte classcal groups wll be gven n other sectons. A formula for the measure P GL s: P GL (λ) = ( /q ) Aut(λ). Here Aut(λ) denotes the automorphsm group of a fnte abelan group of type λ. Page 8 of [Mac] gves the followng explct formula: Aut(λ) = q (λ ) (/q) m (λ). Here m (λ) s the number of parts of λ of sze, and λ s the partton dual to λ n the sense that λ = m (λ) + m + (λ) +. Also (/q) j denotes ( /q)( /q ) ( /q j ). Remark: The measure P GL s the specal case (u = ) of a measure studed n [F], whch chooses λ wth probablty ( u/q u λ ) Aut(λ).

4 JASON FULMAN Ths probablty can be rewrtten as ( u/q ) Pλ(u/q, u/q, u/q 3, ; /q) q n(λ), where P λ denotes a Hall-Lttlewood polynomal and n(λ) = ( λ ). Ths suggests the study of more general measures based on Macdonald polynomals; see [F] for detals, and for probablstc algorthms for generatng parttons accordng to ths measure. Next recall the ratonal canoncal form of an element g GL(n, q). Ths s dscussed at length n Chapter 6 of the textbook [H], and corresponds to the followng combnatoral data. To each monc non-constant rreducble polynomal φ over F q, one assocates a partton (perhaps the trval partton) λ φ of some non-negatve nteger λ φ. Let deg(φ) denote the degree of φ. The only restrctons necessary for ths data to arse from an element of GL(n, q) are that λ z = 0 and φ λ φ deg(φ) = n. We are nterested n the partton (of sze at most n) correspondng to the polynomal z n the ratonal canoncal form of a random element of GL(n, q), and we let Λ GL,z,n denote the correspondng measure on parttons. From [F0], t s known that as n, the measure Λ GL,z,n converges to the measure P GL. The man result of ths secton gves sharp bounds for ths convergence. The next lemma s due to Euler; see page 9 of [An]. Lemma.. () ( u/q ) = j 0 u j q (j ) (q j )(q ). () ( u/q = j 0 ( u) j (q j )(q ). A proof of the followng lemma s contaned n [St]. Lemma.. λ u λ Aut(λ) = ( u/q. Next we obtan an explct expresson for P GL Λ GL,z,n T V. Proposton.3. P GL Λ GL,z,n T V = q (m ) (q m ( /q ) ) (q ) + n q (m ) (q m ) (q ) ( /q ( ) j (q j ) (q ).

5 Cohen-Lenstra heurstcs and random matrx theory 5 Proof : Frst we consder the contrbuton to the total varaton dstance comng from λ of sze m > n. Snce Λ GL,z,n (λ) = 0 for such λ, the contrbuton s ( /q ). Aut(λ) λ = By Lemma. and part of Lemma., ths s equal to q (m ) (q m ) (q ) ( /q ). Next consder the probablty that Λ GL,z,n assocates to λ when λ = m n. By the cycle ndex of the general lnear groups [F], ths probablty s equal to the coeffcent of u n Aut(λ) φ z,z [ µ u deg(φ) µ Aut(µ) q q deg(φ) Multplyng and dvdng by u µ µ Aut(µ) gves that ths s equal to the coeffcent of u n [ ] u deg(φ) µ = Aut(λ) Aut(λ) µ µ u µ Aut(µ) u µ Aut(µ) φ z u. µ ]. Aut(µ) q q deg(φ) The equalty followed snce settng all varables equal to one n the cycle ndex of GL(n, q) yelds /( u). From Lemma., ths s the coeffcent of u n Thus Λ GL,z,n (λ) s equal to Aut(λ) ( u/q ). u Coef. u j n Aut(λ) whch by part of Lemma. s equal to ( u/q ), ( ) j Aut(λ) (q j ) (q ). It follows that the contrbuton to P GL Λ GL,z,n T V comng from λ wth λ = m n s n Aut(λ) ( /q ( ) j (q j ) (q ). λ =m.

6 6 JASON FULMAN By Lemma. and part of Lemma., λ =m Aut(λ) = Coef. um n ( u/q = q (m ) (q m ) (q ). Thus the contrbuton to P GL Λ GL,z,n T V from λ wth λ = m n s n q (m ) (q m ) (q ) ( /q ( ) j (q j ) (q ). Ths completes the proof. Next we prove the man result of ths secton. Theorem.. For n,.38 q n+ P GL Λ GL,z,n T V q n+. Proof : To begn we consder the lower bound. By consderng the m = n+ term n Proposton.3, t follows that P GL Λ GL,z,n T V q (n+ ) (q n+ ( /q ) ) (q ) = q n+ ( /qn+ )( /q n+3 ). Snce n and q, ths s at least.38/q n+. Note that we have used the bound ( / j ) = 8 ( / j ) 3 j 3 j 8 3 ( / / + / 5 + / 7 / / 5 ).77, whch follows from Euler s pentagonal number theorem, stated on page of [An]. Next we consder the upper bound. Frst note that q (m ) (q m ( /q ) ) (q ) = = q (m ) q (m+ ) q m q n+ ( /q) q n+.

7 Cohen-Lenstra heurstcs and random matrx theory 7 Second, note that by applyng part of Lemma. wth u =, n q (m ) (q m ) (q ) ( /q ( ) j (q j ) (q ) = n q (m ) (q m ) (q ) (q + ) (q ) n q (m ) q (m+ ) ( /q) ( /q m ) q (+ ) ( /q) ( /q + ) Snce ( /q 3.5, ths s at most (3.5) n q m+(+ ) (3.5) q n+ ( /q) 3 q n+. The upper bound of the theorem follows mmedately by combnng the bounds n the prevous paragraph. 3. Untary groups Next we defne a untary analog P U of the Cohen-Lenstra measure on the set of all parttons of all non-negatve ntegers. A formula for the measure P U s: P U (λ) = + /( q) ( ) Aut U (λ). Here Aut U (λ) s defned by the formula Aut U (λ) = q (λ ). ( /q) m (λ), where ( /q) j = ( + /q)( /q ) ( ( ) j /q j ). Remark: The measure P U s the specal case (u = ) of a measure studed n [F], whch chooses λ wth probablty ( + u/( q) u λ ) Aut U (λ). To defne the probablty measure Λ U,z,n, we use, as n the GL case, the theory of ratonal canoncal forms. Gven an element g U(n, q), there s a partton λ z (g) of sze at most n assocated to the polynomal z. When g s chosen unformly at random from U(n, q), we let Λ U,z,n denote the

8 8 JASON FULMAN correspondng measure on parttons. From [F0], t s known that as n, the measure Λ U,z,n converges to the measure P U. The man result of ths secton makes ths quanttatve, provng that 6q n+ P U Λ U,z,n T V 3 q n+. Lemma 3. s obtaned by replacng u, q by u, q n Lemma.. Lemma 3.. () ( + u/( q) ) = ( ) (j+ ) u j j 0 (q j ( ) j )(q+). () ( + u/( q) = u j q (j ) j 0 (q j ( ) j )(q+). The next lemma s a untary analog of Lemma.. Lemma 3.. λ u λ Aut U (λ) = ( + u/( q). Proof : From the formulas for Aut(λ) and Aut U (λ), one checks that u λ Aut U (λ) = ( u) λ. Aut(λ) q q λ λ The result now follows from Lemma., snce settng u u, q q n ( u/q yelds ( + u/( q). Next we gve an explct expresson for P U Λ U,z,n T V. Proposton 3.3. = P U Λ U,z,n T V q (m ) (q m ( ) m ) (q + ) + n ( + /( q) q (m ) (q m ( ) m ) (q + ) ( + /( q) ) ( ) (j+ ) (q j ( ) j ) (q + ) Proof : Frst we consder the contrbuton to the total varaton dstance comng from λ of sze m > n. Snce Λ U,z,n (λ) = 0 for such λ, the contrbuton s ( + /( q) ). Aut U (λ) λ = By Lemma 3. and part of Lemma 3., ths s equal to q (m ) (q m ( ) m ) (q + ) ( + /( q) )..

9 Cohen-Lenstra heurstcs and random matrx theory 9 Next consder the probablty that Λ U,z,n assocates to λ when λ = m n. By the cycle ndex of the untary groups [F], ths probablty s equal to the coeffcent of u n Indeed, Aut U (λ) ( u λ ( u λ u λ Aut U (λ) u λ Aut U (λ) s the part of the cycle ndex of the untary groups correspondng to polynomals other than z. By Lemma 3., t follows that Λ U,z,n (λ) s equal to the coeffcent of u n Aut U (λ) and hence equal to ( + u/( q) ), u Coef. u j n Aut U (λ) By part of Lemma 3., ths s equal to. ( + u/( q) ). ( ) (j+ ) Aut U (λ) (q j ( ) j ) (q + ). Thus the contrbuton to P U Λ U,z,n T V comng from λ wth λ = m n s n Aut U (λ) ( + /( q) ( ) (j+ ) (q j ( ) j ) (q + ). λ =m λ =m By Lemma 3. and part of Lemma 3., = Coef. u m n ( + u/( q) Aut U (λ) = q (m ) (q m ( ) m ) (q + ). Thus the contrbuton to P U Λ U,z,n T V from λ wth λ = m n s n q (m ) (q m ( ) m ) (q + ) ( + /( q) ( ) (j+ ) (q j ( ) j ) (q + ), and the proof s complete.

10 0 JASON FULMAN Next we prove the man result of ths secton. Theorem 3.. For n, 6q n+ P U Λ U,z,n T V 3 q n+. Proof : To start we examne the lower bound. By consderng the m = n + term n Proposton 3.3, t follows that P U Λ U,z,n T V q (n+ ) ( + /( q) ) q (n+ ) ( + /q)( /q ) ( ( ) n+ /q n+ ) q (n+ ) ( /q) q (n+ ) ( + /q) ( /q) = ( + /q) q n+ 6q n+. Next we treat the upper bound. Frst note that = q n+. q (m ) (q m ( ) m ( + /( q) ) ) (q + ) q (m ) ( + /( q) ) q (m+ ) ( + /q) ( ( ) m /q m ) q (m ) q (m+ ) Next note by part of Lemma 3. that ( + /( q) ( ) (j+ ) (q j ( ) j ) (q + ) = ( ) (j+ ) (q j ( ) j ) (q + ) j + q (j+ ) j + q (+ ).

11 Thus Cohen-Lenstra heurstcs and random matrx theory n ( + /( q) n q (m ) (q m ( ) m ) (q + ) q (m+ n q (m ) ( ) (j+ ) (q j ( ) j ) (q + ) ) ( + /q) ( ( ) m /q m ) q m q (+ ) q (+ ) q n+ ( /q) q n+. Combnng the bounds n the two prevous paragraphs completes the proof.. Symplectc groups Next we defne a symplectc analog P Sp of the Cohen-Lenstra measure on the set of all parttons of all non-negatve ntegers n whch the odd parts occur wth even multplcty. A formula for the measure P Sp s: P Sp (λ) = /q ( ) Aut Sp (λ), where Aut Sp (λ) s defned by the formula λ n(λ)+ Aut Sp (λ) = q + o(λ) ( /q )( /q ) ( /q m (λ) ). Here, m (λ) denotes the multplcty of n the partton λ, o(λ) denotes the number of odd parts of λ, and n(λ) = ( λ ). Remark: The measure P Sp s the specal case (u = ) of a measure studed n [F3], whch chooses λ wth probablty ( u /q u λ ) Aut Sp (λ). To defne the probablty measure Λ Sp,z,n, we use, as n the GL and U cases, the theory of ratonal canoncal forms. Gven an element g

12 JASON FULMAN Sp(n, q), there s a partton λ z (g) of sze at most n assocated to the polynomal z. When g s chosen unformly at random from Sp(n, q), we let Λ Sp,z,n denote the correspondng measure on parttons. From [F3] (n odd characterstc) and [FG] (n even characterstc), t s known that as n, the measure Λ Sp,z,n converges to the measure P Sp. In fact the man result of ths secton s that. q n+ P Sp Λ Sp,z,n T V.5 q n+. Lemma. s obtaned by replacng u by u q and q by q n Lemma.. Lemma.. () ( u /q ) = j 0 () ( u /q = j 0 The followng lemma s from [F3]. Lemma.. λ u λ Aut Sp (λ) = u j q j (q j )(q ). ( u /q. ( ) j u j q j (q j )(q ). Now we gve an explct expresson for P Sp Λ Sp,z,n T V. Proposton.3. P Sp Λ Sp,z,n T V = q m (q m ) (q ( /q ) ) + n q m (q m ) (q ) ( /q ( ) j q j (q j ) (q ). Proof : To begn we consder the contrbuton to the total varaton dstance comng from λ of sze m > n. Snce Λ Sp,z,n (λ) = 0 for such λ, the contrbuton s ( /q ). Aut Sp (λ) λ = By Lemma. and part of Lemma., ths s equal to q m (q m ) (q ) ( /q ). Next consder the probablty that Λ Sp,z,n assgns to λ when λ = m n. By the cycle ndex of the symplectc groups, ths probablty s equal to

13 Cohen-Lenstra heurstcs and random matrx theory 3 the coeffcent of u n Aut Sp (λ) Indeed, ( u λ ( u u λ λ Aut Sp (λ) u λ Aut Sp (λ) s the part of the cycle ndex of the symplectc groups correspondng to polynomals other than z. By Lemma., t follows that Λ Sp,z,n (λ) s equal to the coeffcent of u n and thus equal to Aut Sp (λ) ( u/q ), u Coef. u j n Aut Sp (λ) By part of Lemma., ths s equal to. ( u/q ). ( ) j q j Aut Sp (λ) (q j ) (q ). Thus the contrbuton to P Sp Λ Sp,z,n T V comng from λ wth λ = m n s n Aut Sp (λ) ( /q ( ) j q j (q j ) (q ). λ =m λ =m By Lemma. and part of Lemma., = Coef. u m n ( u /q Aut Sp (λ) = q m (q m ) (q ). Thus the contrbuton to P Sp Λ Sp,z,n T V from λ wth λ = m n s n q m (q m ) (q ) ( /q ( ) j q j (q j ) (q ), whch completes the proof. Now we prove the man result of ths secton.

14 JASON FULMAN Theorem.. For n,. q n+ P Sp Λ Sp,z,n T V.5 q n+. Proof : To begn we treat the lower bound. By lookng at the m = n + term n Proposton.3, t follows that P Sp Λ Sp,z,n T V q (n+) q (n+ ) For the upper bound, frst note that = q n+.. q n+. ( /q ) q m (q m ) (q ( /q ) ) ( /q ) q m ( /q ) ( /q m ) q m Next, note that by part of Lemma. wth u =, Snce n q m (q m ) (q ) ( /q ( ) j q j (q j ) (q ) n q m q + (q m ) (q ) (q (+ ) (q ). the upper bound becomes (.5) n ( /q )( /q ).5, q m (.5) q (+) q n+ ( /q ).5 q n+. Combnng the bounds of the prevous two paragraphs completes the proof.

15 5. Orthogonal groups Cohen-Lenstra heurstcs and random matrx theory 5 In treatng the orthogonal groups t s necessary to separately consder the cases of odd and even characterstc. Subsecton 5. treats odd characterstc, and Subsecton 5. treats even characterstc. 5.. Odd characterstc. Suppose throughout ths subsecton that the characterstc s odd. We defne an orthogonal analog P O of the Cohen-Lenstra measure on the set of all parttons of all non-negatve ntegers n whch the even parts occur wth even multplcty. A formula for the measure P O s: P O (λ) = where Aut O (λ) s defned by the formula λ n(λ)+ Aut O (λ) = q o(λ) ( /q ), Aut O (λ) ( /q )( /q ) ( /q m (λ) ). Here, as earler, m (λ) denotes the multplcty of n the partton λ, o(λ) denotes the number of odd parts of λ, and n(λ) = ( λ ). Remark: The measure P O s the specal case (u = ) of a measure studed n [F3], whch chooses λ wth probablty ( u /q ) u λ ( + u) Aut O (λ). To defne the probablty measure Λ O,z,n, we use, as n the cases of other fnte classcal groups, the theory of ratonal canoncal forms. We choose an element g, wth probablty / unformly at random from O + (n, q) and wth probablty / unformly at random from O (n, q). Then there s a partton λ z (g) of sze at most n assocated to the polynomal z. We let Λ O,z,n denote the correspondng measure on parttons. From [F3] t s known that as n, the measure Λ O,z,n converges to the measure P O. The man result of ths secton s a sharp error term for ths convergence. The followng lemma s from [F3]. Lemma 5.. Suppose that q s odd. Then λ u λ Aut O (λ) = + u ( u /q ). Next we gven an explct expresson for P O Λ O,z,n T V.

16 6 JASON FULMAN Proposton 5.. Suppose that q s odd. Then P O Λ O,z,n T V = + + n q m / (q m ) (q ) q (m ) / (q m ) (q ) q m / (q m ) (q ) ( /q + n ()/ q (m ) / (q m ) (q ) ( /q ()/ ( /q ) ( /q ) ( ) j q j (q j ) (q ) ( ) j q j (q j ) (q ). Proof : To begn we consder the contrbuton to the total varaton dstance comng from λ of sze m > n. Snce Λ O,z,n (λ) = 0 for such λ, the contrbuton s λ = Aut O (λ) ( /q ). By Lemma 5. and part of Lemma., ths s equal to + q m / (q m ) (q ) q (m ) / (q m ) (q ) ( /q ) ( /q ). Next we consder the probablty that Λ O,z,n assgns to λ when λ = m n. By the cycle ndex of the orthogonal groups [F], ths s equal to Aut O (λ) Coef. u n Indeed, the term +u cycle ndex, and the term ( u /q ) ( u /q ) + u ( u /q ) ( u /q ) u. corresponds to the polynomal z + n the u corresponds to polynomals other

17 Cohen-Lenstra heurstcs and random matrx theory 7 than z ± n the cycle ndex. Cancelng terms, one obtans that Λ O,z,n (λ) s equal to Aut O (λ) Coef. u n ( u /q ) u = Aut O (λ) = Aut O (λ) = Aut O (λ) ()/ ()/ Coef. u j n Coef. u j n ( u /q ) ( ) j q j (q j ) (q ), ( u /q ) where the last step used part of Lemma.. Thus the contrbuton to P O Λ O,z,n T V comng from λ wth λ = m n s n λ =m Aut O (λ) ( /q By Lemma 5. and part of Lemma., f m s even, and λ =m λ =m ()/ Aut O (λ) = q m/ (q m ) (q ), Aut O (λ) = q (m )/ (q m ) (q ), f m s odd. Thus the contrbuton to P O Λ O,z,n T V wth λ = m n s n q m / (q m ) (q ) ( /q + n ()/ q (m ) / (q m ) (q ) ( /q ()/ ( ) j q j (q j ) (q ). ( ) j q j (q j ) (q ) ( ) j q j (q j ) (q ). comng from λ

18 8 JASON FULMAN Ths completes the proof. Now we prove the man result of ths secton. Theorem 5.3. () For n even and q odd, () For n odd and q odd,. q n/ P O Λ O,z,n T V.3 q n/.. q (n+)/ P O Λ O,z,n T V q (n+)/. Proof : Suppose that n s even. To lower bound the total varaton dstance, lookng at the m = n + term n Proposton 5. gves that q n / P O Λ O,z,n T V (q n ) (q ). q n/. q n / q n /+n/ ( /q ) ( /q ) Next we consder the upper bound when n s even; by Proposton 5. ths s a sum of four terms. The frst term s = q m / (q m ) (q ) q m/ q m/ = q n/+ ( /q) 3 8 q n/+ 8q n/. ( /q ) ( /q ) ( /q ) ( /q m )

19 Cohen-Lenstra heurstcs and random matrx theory 9 The second term n the upper bound s = q (m ) / (q m ) (q ) q (m )/ q (m )/ = q n/ ( /q) 3 8q n/. ( /q ) ( /q ) ( /q ) ( /q m ) The thrd term n the upper bound s n q m / (q m ) (q ) ( /q n q m / ()/ ( ) j q j (q j ) (q ) q (+)/ (q m ) (q ) (q + ) (q ). Snce j ( /qj., the thrd term s at most (.) n q m/ q ( + ) (.) q n/+ ( /q) 3(.) 8q n/+. q n/.

20 0 JASON FULMAN The fourth term n the upper bound s n q (m ) / (q m ) (q ) ( )/ ( /q ( ) j q j (q j ) (q ) n q (m ) / q (+)/ (q m ) (q ) (q + ) (q ). Agan usng that j ( /qj., the fourth term s at most (.) n q (m )/ q (.) ( + ) q n/ ( /q).6 q n/. Combnng the above bounds proves the theorem for n even. Next suppose that n s odd. To lower bound the total varaton dstance, lookng at the m = n + term n Proposton 5. gves that P O Λ O,z,n T V q (n+) / (q n+ ) (q ( /q ) ) q (n+)/ ( /q ). q (n+)/. By Proposton 5., the upper bound s a sum of four terms. For the frst term, one argues as n the n even case to obtan q m / (q m ) (q ) ( /q ) q m/ = q (n+)/ ( /q) 3 8q (n+)/.

21 Cohen-Lenstra heurstcs and random matrx theory For the second term, one also argues as n the n even case to obtan q (m ) / (q m ) (q ( /q ) ) q (m )/ The thrd term n the upper bound s n q m / (q m ) (q ) ( /q n q m / ( )/ = q (n+)/ ( /q) 3 8q (n+)/. ( ) j q j (q j ) (q ) q (+)/ (q m ) (q ) (q + ) (q ). Usng j ( /qj. shows that the thrd term s at most (.) n. q m/ q ( + ) q (n+)/ ( /q) The fourth term n the upper bound s n q (m ) / (q m ) (q ).6 q (n+)/. ()/ ( /q ( ) j q j (q j ) (q ) n q (m ) / q (+)/ (q m ) (q ) (q + ) (q ). Usng j ( /qj. shows that the fourth term s at most (.) n q (m )/ (.) q ( + ) q (n+)/ ( /q).6 q (n+)/.

22 JASON FULMAN Combnng the above bounds proves the theorem for n odd. 5.. Even characterstc. Throughout ths subsecton t s assumed that the characterstc s even. We defne an orthogonal analog P O of the Cohen- Lenstra measure on the set of all parttons of all non-negatve ntegers n whch the odd parts occur wth even multplcty. A formula for the measure P O s: P O (λ) = where Aut O (λ) s defned by the formula λ n(λ)+ Aut O (λ) = q + o(λ) l(λ) ( /q ), Aut O (λ) ( /q )( /q ) ( /q m (λ) ). Here, as earler, m (λ) denotes the multplcty of n the partton λ, o(λ) denotes the number of odd parts of λ, and n(λ) = ( λ ). The symbol l(λ) denotes the number of parts of λ. Remark: The measure P O s the specal case (u = ) of a measure studed n [FST] whch chooses λ wth probablty ( u /q ) u λ + u Aut O (λ). To defne the probablty measure Λ O,z,n, we use, as n the other cases, the theory of ratonal canoncal forms. We choose an element g, wth probablty / unformly at random from O + (n, q) and wth probablty / unformly at random from O (n, q). (Note that n even characterstc, odd dmensonal orthogonal groups are somorphc to symplectc groups, so we focus on even dmensonal orthogonal groups). Then there s a partton λ z (g) of sze at most n assocated to the polynomal z. We let Λ O,z,n denote the correspondng measure on parttons. From [FST] t s known that as n, the measure Λ O,z,n converges to the measure P O. The man result of ths secton s to make ths convergence quanttatve. The followng lemma s from [FST]. Lemma 5.. Suppose that q s even. Then λ u λ Aut O (λ) = + u ( u /q ). Next we gve an explct expresson for P O Λ O,z,n T V.

23 Cohen-Lenstra heurstcs and random matrx theory 3 Proposton 5.5. Suppose that q s even. Then P O Λ O,z,n T V [ ] = q m (q m ) (q ) + q (m ) (q m ) (q ) ( /q ) [ + n m= ( /q + ( /q q m (q m ) (q ) + q (m ) (q m ) (q ) ( ) j q j (q j ) (q ) n ( ) j q j (q j ) (q ). Proof : To begn, we consder the contrbuton to the total varaton dstance comng from λ of sze m > n. Snce Λ O,z,n (λ) = 0 for such λ, the contrbuton s ( /q ). Aut O (λ) λ = By Lemma 5. and part of Lemma., ths s equal to [ ] q m (q m ) (q ) + q (m ) (q m ) (q ( /q ). ) Next consder the probablty that Λ O,z,n assocates to λ when λ = m n. By the cycle ndex of the orthogonal groups [FST], ths probablty s equal to the coeffcent of u n Indeed, Aut O (λ) ( u /q ) u. ( u /q ) u s the part of the cycle ndex of the orthogonal groups correspondng to polynomals other than z. Thus Λ O,z,n (λ) s equal to Coef. u j n Aut O (λ) ( u/q ). ]

24 JASON FULMAN By part of Lemma., ths s equal to ( ) j q j Aut O (λ) (q j ) (q ). Thus the contrbuton to P O Λ O,z,n T V comng from λ wth λ = m n s n Aut O (λ) ( /q ( ) j q j (q j ) (q ). λ =m By Lemma 5. and part of Lemma., f m, then λ =m Aut O (λ) = Coef. u m n + u ( u /q ) = q m (q m ) (q ) q (m ) + (q m ) (q ). Thus the contrbuton to P O Λ O,z,n T V comng from λ wth λ = m wth m n s [ ] n q m (q m ) (q ) + q (m ) (q m ) (q ) m= ( /q ( ) j q j (q j ) (q ). The contrbuton to P O Λ O,z,n T V comng from λ = 0 s n ( /q ( ) j q j (q j ) (q ), whch completes the proof. Next we prove the man result of ths secton. Theorem 5.6. For n and q even,. q n P O Λ O,z,n T V.6 q n

25 Cohen-Lenstra heurstcs and random matrx theory 5 Proof : To lower bound the total varaton dstance, lookng at the m = n+ term n Proposton 5.5 gves that q n P O Λ O,z,n T V (q n ) (q ) q n q n(n+) ( /q ). q n. ( /q ) Next we consder the upper bound; by Proposton 5.5, ths s a sum of three terms. Snce q m (q m ) (q ) q (m ) (q m ) (q ), the frst term s at most q (m ) (q m ) (q ( /q ) ) = ( /q ) q m ( /q ) ( /q m ) q m = q n ( /q) q n. To upper bound the second term, note that [ ] n q m (q m ) (q ) + q (m ) (q m ) (q ) m= ( /q ( ) j q j (q j ) (q ) m q (m ) (q m ) (q ) m= ( /q ( ) j q j (q j ) (q ) n q (m ) q + (q m ) (q ) (q (+ ) (q ). m=

26 6 JASON FULMAN Snce j ( /qj.5, the second term s at most (.5) n m= q m (.5) q (+) q n ( /q ).5 q n. To upper bound the thrd term, note that n ( /q ( ) j q j (q j ) (q ) q n+ (q (n+ ) (q ) Snce j ( /qj.5, the thrd term s at most.5.5 q (n+) 3 q n.05 q n. Addng the upper bounds on the three terms completes the proof. References [Ac] Achter, J., The dstrbuton of class groups of functon felds, J. Pure Appl. Algebra 0 (006), [An] Andrews, G., The theory of parttons, Addson-Wesley, Readng, Mass., 976. [CL] Cohen, H. and Lenstra, H.W., Jr., Heurstcs on class groups of number felds, n Number theory, Noordwjerhout 983, 33-6, Lecture Notes n Math. 068, Sprnger, Berln, 98. [D] Delaunay, C., Heurstcs on class groups and on Tate-Shafarevch groups: the magc of the Cohen-Lenstra heurstcs, n Ranks of ellptc curves and random matrx theory, 33-30, London Math. Soc. Lecture Notes Ser. 3, Cambrdge Unv. Press, Cambrdge, 007. [EV] Ellenberg, J., and Venkatesh, A., Statstcs of number felds and functon felds, n Proceedngs of the Internatonal Congress of Mathematcans. Volume II, 383-0, Hndustan Book Agency, New Delh, 00. [F0] Fulman, J., Probablty n the classcal groups over fnte felds: symmetrc functons, stochastc algorthms and cycle ndces, Ph.D. thess, Harvard Unversty, 997. [F] Fulman, J., Cycle ndces for the fnte classcal groups, J. Group Theory (999), [F] [F3] [FG] Fulman, J., A probablstc approach toward conjugacy classes n the fnte general lnear and untary groups, J. Algebra (999), Fulman, J., A probablstc approach to conjugacy classes n the fnte symplectc and orthogonal groups, J. Algebra 3 (000), 07-. Fulman, J. and Guralnck, R., Conjugacy class propertes of the extenson of GL(n, q) generated by the nverse transpose nvoluton, J. Algebra 75 (00), [FST] Fulman, J., Saxl, J., and Tep, P. H., Cycle ndces for fnte orthogonal groups of even characterstc, Trans. Amer. Math. Soc. 36 (0), [H] Hersten, I.N., Topcs n algebra, Second edton. Xerox College Publshng, Lexngton, Mass.-Toronto, Ont., 975. [L] Lengler, J., The Cohen-Lenstra heurstc: methodology and results, J. Algebra 33 [Mac] (00), Macdonald, I., Symmetrc functons and Hall polynomals, Second edton. The Clarendon Press, New York, 995.

27 Cohen-Lenstra heurstcs and random matrx theory 7 [Map] Maples, K., Cokernels of random matrces satsfy the Cohen-Lenstra heurstcs, arxv:30.39 (03). [O] Okounkov, A., The uses of random parttons, n XIVth Internatonal congress on mathematcal physcs, , World Sc. Publ., Hackensack, NJ, 005. [O] Okounkov, A., Symmetrc functons and random parttons, n Symmetrc functons 00: surveys of developments and perspectves, 3-5, Kluwer Acad. Publ., Dordrecht, 00. [O3] Okounkov, A., Infnte wedge and random parttons, Selecta Math. (N.S.) 7 (00), [St] Stong, R., Some asymptotc results on fnte vector spaces, Adv. n Appl. Math. 9 (988),

Short running title: A generating function approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI

Short running title: A generating function approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI Short runnng ttle: A generatng functon approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI JASON FULMAN Abstract. A recent paper of Church, Ellenberg,

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

= z 20 z n. (k 20) + 4 z k = 4

= z 20 z n. (k 20) + 4 z k = 4 Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5

More information

Determinants Containing Powers of Generalized Fibonacci Numbers

Determinants Containing Powers of Generalized Fibonacci Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 19 (2016), Artcle 1671 Determnants Contanng Powers of Generalzed Fbonacc Numbers Aram Tangboonduangjt and Thotsaporn Thanatpanonda Mahdol Unversty Internatonal

More information

GELFAND-TSETLIN BASIS FOR THE REPRESENTATIONS OF gl n

GELFAND-TSETLIN BASIS FOR THE REPRESENTATIONS OF gl n GELFAND-TSETLIN BASIS FOR THE REPRESENTATIONS OF gl n KANG LU FINITE DIMENSIONAL REPRESENTATIONS OF gl n Let e j,, j =,, n denote the standard bass of the general lnear Le algebra gl n over the feld of

More information

VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES

VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES BÂRZĂ, Slvu Faculty of Mathematcs-Informatcs Spru Haret Unversty barza_slvu@yahoo.com Abstract Ths paper wants to contnue

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

The Pseudoblocks of Endomorphism Algebras

The Pseudoblocks of Endomorphism Algebras Internatonal Mathematcal Forum, 4, 009, no. 48, 363-368 The Pseudoblocks of Endomorphsm Algebras Ahmed A. Khammash Department of Mathematcal Scences, Umm Al-Qura Unversty P.O.Box 796, Makkah, Saud Araba

More information

Rapid growth in finite simple groups

Rapid growth in finite simple groups Rapd growth n fnte smple groups Martn W. Lebeck, Gl Schul, Aner Shalev March 1, 016 Abstract We show that small normal subsets A of fnte smple groups grow very rapdly namely, A A ɛ, where ɛ > 0 s arbtrarly

More information

Restricted divisor sums

Restricted divisor sums ACTA ARITHMETICA 02 2002) Restrcted dvsor sums by Kevn A Broughan Hamlton) Introducton There s a body of work n the lterature on varous restrcted sums of the number of dvsors of an nteger functon ncludng

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

arxiv: v1 [math.co] 12 Sep 2014

arxiv: v1 [math.co] 12 Sep 2014 arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March

More information

An efficient algorithm for multivariate Maclaurin Newton transformation

An efficient algorithm for multivariate Maclaurin Newton transformation Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

7. Products and matrix elements

7. Products and matrix elements 7. Products and matrx elements 1 7. Products and matrx elements Based on the propertes of group representatons, a number of useful results can be derved. Consder a vector space V wth an nner product ψ

More information

Evaluation of a family of binomial determinants

Evaluation of a family of binomial determinants Electronc Journal of Lnear Algebra Volume 30 Volume 30 2015 Artcle 22 2015 Evaluaton of a famly of bnomal determnants Charles Helou Pennsylvana State Unversty, cxh22@psuedu James A Sellers Pennsylvana

More information

Random Walks on Digraphs

Random Walks on Digraphs Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected

More information

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

More information

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013 ISSN: 2277-375 Constructon of Trend Free Run Orders for Orthogonal rrays Usng Codes bstract: Sometmes when the expermental runs are carred out n a tme order sequence, the response can depend on the run

More information

On quasiperfect numbers

On quasiperfect numbers Notes on Number Theory and Dscrete Mathematcs Prnt ISSN 1310 5132, Onlne ISSN 2367 8275 Vol. 23, 2017, No. 3, 73 78 On quasperfect numbers V. Sva Rama Prasad 1 and C. Suntha 2 1 Nalla Malla Reddy Engneerng

More information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Anti-van der Waerden numbers of 3-term arithmetic progressions.

Anti-van der Waerden numbers of 3-term arithmetic progressions. Ant-van der Waerden numbers of 3-term arthmetc progressons. Zhanar Berkkyzy, Alex Schulte, and Mchael Young Aprl 24, 2016 Abstract The ant-van der Waerden number, denoted by aw([n], k), s the smallest

More information

A FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX

A FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX Hacettepe Journal of Mathematcs and Statstcs Volume 393 0 35 33 FORMUL FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIGONL MTRIX H Kıyak I Gürses F Yılmaz and D Bozkurt Receved :08 :009 : ccepted 5

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-analogue of Fbonacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Benaoum Prnce Mohammad Unversty, Al-Khobar 395, Saud Araba Abstract In ths paper, we ntroduce the h-analogue of Fbonacc numbers for

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules

NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules EVAN WILSON Quantum groups Consder the Le algebra sl(n), whch s the Le algebra over C of n n trace matrces together wth the commutator

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

SOME RESULTS ON TRANSFORMATIONS GROUPS OF N-LINEAR CONNECTIONS IN THE 2-TANGENT BUNDLE

SOME RESULTS ON TRANSFORMATIONS GROUPS OF N-LINEAR CONNECTIONS IN THE 2-TANGENT BUNDLE STUDIA UNIV. BABEŞ BOLYAI MATHEMATICA Volume LIII Number March 008 SOME RESULTS ON TRANSFORMATIONS GROUPS OF N-LINEAR CONNECTIONS IN THE -TANGENT BUNDLE GHEORGHE ATANASIU AND MONICA PURCARU Abstract. In

More information

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars

More information

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N)

SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) M(B) := # ( B Z N) SUCCESSIVE MINIMA AND LATTICE POINTS (AFTER HENK, GILLET AND SOULÉ) S.BOUCKSOM Abstract. The goal of ths note s to present a remarably smple proof, due to Hen, of a result prevously obtaned by Gllet-Soulé,

More information

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization DISCRIMINANTS AND RAMIFIED PRIMES KEITH CONRAD 1. Introducton A prme number p s sad to be ramfed n a number feld K f the prme deal factorzaton (1.1) (p) = po K = p e 1 1 peg g has some e greater than 1.

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Section 3.6 Complex Zeros

Section 3.6 Complex Zeros 04 Chapter Secton 6 Comple Zeros When fndng the zeros of polynomals, at some pont you're faced wth the problem Whle there are clearly no real numbers that are solutons to ths equaton, leavng thngs there

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Two Enumerative Results on Cycles of Permutations 1

Two Enumerative Results on Cycles of Permutations 1 Two Enumeratve Results on Cycles of Permutatons Rchard P. Stanley Department of Mathematcs Massachusetts Insttute of Technology Cambrdge, MA 039, USA rstan@math.mt.edu In memory of Tom Brylawsk verson

More information

On Finite Rank Perturbation of Diagonalizable Operators

On Finite Rank Perturbation of Diagonalizable Operators Functonal Analyss, Approxmaton and Computaton 6 (1) (2014), 49 53 Publshed by Faculty of Scences and Mathematcs, Unversty of Nš, Serba Avalable at: http://wwwpmfnacrs/faac On Fnte Rank Perturbaton of Dagonalzable

More information

arxiv: v4 [math.ac] 20 Sep 2013

arxiv: v4 [math.ac] 20 Sep 2013 arxv:1207.2850v4 [math.ac] 20 Sep 2013 A SURVEY OF SOME RESULTS FOR MIXED MULTIPLICITIES Le Van Dnh and Nguyen Ten Manh Truong Th Hong Thanh Department of Mathematcs, Hano Natonal Unversty of Educaton

More information

A combinatorial problem associated with nonograms

A combinatorial problem associated with nonograms A combnatoral problem assocated wth nonograms Jessca Benton Ron Snow Nolan Wallach March 21, 2005 1 Introducton. Ths work was motvated by a queston posed by the second named author to the frst named author

More information

A p-adic PERRON-FROBENIUS THEOREM

A p-adic PERRON-FROBENIUS THEOREM A p-adic PERRON-FROBENIUS THEOREM ROBERT COSTA AND PATRICK DYNES Advsor: Clayton Petsche Oregon State Unversty Abstract We prove a result for square matrces over the p-adc numbers akn to the Perron-Frobenus

More information

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 ) Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often

More information

An (almost) unbiased estimator for the S-Gini index

An (almost) unbiased estimator for the S-Gini index An (almost unbased estmator for the S-Gn ndex Thomas Demuynck February 25, 2009 Abstract Ths note provdes an unbased estmator for the absolute S-Gn and an almost unbased estmator for the relatve S-Gn for

More information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Fixed points of IA-endomorphisms of a free metabelian Lie algebra

Fixed points of IA-endomorphisms of a free metabelian Lie algebra Proc. Indan Acad. Sc. (Math. Sc.) Vol. 121, No. 4, November 2011, pp. 405 416. c Indan Academy of Scences Fxed ponts of IA-endomorphsms of a free metabelan Le algebra NAIME EKICI 1 and DEMET PARLAK SÖNMEZ

More information

Existence of Two Conjugate Classes of A 5 within S 6. by Use of Character Table of S 6

Existence of Two Conjugate Classes of A 5 within S 6. by Use of Character Table of S 6 Internatonal Mathematcal Forum, Vol. 8, 2013, no. 32, 1591-159 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/mf.2013.3359 Exstence of Two Conjugate Classes of A 5 wthn S by Use of Character Table

More information

A First Order q-difference System for the BC 1 -Type Jackson Integral and Its Applications

A First Order q-difference System for the BC 1 -Type Jackson Integral and Its Applications Symmetry Integrablty and Geometry: Methods and Applcatons SIGMA 5 2009 041 14 pages A Frst Order -Dfference System for the BC 1 -Type Jackson Integral and Its Applcatons Masahko ITO Department of Physcs

More information

Vapnik-Chervonenkis theory

Vapnik-Chervonenkis theory Vapnk-Chervonenks theory Rs Kondor June 13, 2008 For the purposes of ths lecture, we restrct ourselves to the bnary supervsed batch learnng settng. We assume that we have an nput space X, and an unknown

More information

On the spectral norm of r-circulant matrices with the Pell and Pell-Lucas numbers

On the spectral norm of r-circulant matrices with the Pell and Pell-Lucas numbers Türkmen and Gökbaş Journal of Inequaltes and Applcatons (06) 06:65 DOI 086/s3660-06-0997-0 R E S E A R C H Open Access On the spectral norm of r-crculant matrces wth the Pell and Pell-Lucas numbers Ramazan

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

On the partial orthogonality of faithful characters. Gregory M. Constantine 1,2

On the partial orthogonality of faithful characters. Gregory M. Constantine 1,2 On the partal orthogonalty of fathful characters by Gregory M. Constantne 1,2 ABSTRACT For conjugacy classes C and D we obtan an expresson for χ(c) χ(d), where the sum extends only over the fathful rreducble

More information

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

The Degrees of Nilpotency of Nilpotent Derivations on the Ring of Matrices

The Degrees of Nilpotency of Nilpotent Derivations on the Ring of Matrices Internatonal Mathematcal Forum, Vol. 6, 2011, no. 15, 713-721 The Degrees of Nlpotency of Nlpotent Dervatons on the Rng of Matrces Homera Pajoohesh Department of of Mathematcs Medgar Evers College of CUNY

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 12 10/21/2013. Martingale Concentration Inequalities and Applications

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 12 10/21/2013. Martingale Concentration Inequalities and Applications MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.65/15.070J Fall 013 Lecture 1 10/1/013 Martngale Concentraton Inequaltes and Applcatons Content. 1. Exponental concentraton for martngales wth bounded ncrements.

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

The exponential map of GL(N)

The exponential map of GL(N) The exponental map of GLN arxv:hep-th/9604049v 9 Apr 996 Alexander Laufer Department of physcs Unversty of Konstanz P.O. 5560 M 678 78434 KONSTANZ Aprl 9, 996 Abstract A fnte expanson of the exponental

More information

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

n ). This is tight for all admissible values of t, k and n. k t + + n t

n ). This is tight for all admissible values of t, k and n. k t + + n t MAXIMIZING THE NUMBER OF NONNEGATIVE SUBSETS NOGA ALON, HAROUT AYDINIAN, AND HAO HUANG Abstract. Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what

More information

Math 217 Fall 2013 Homework 2 Solutions

Math 217 Fall 2013 Homework 2 Solutions Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has

More information

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016 U.C. Berkeley CS94: Spectral Methods and Expanders Handout 8 Luca Trevsan February 7, 06 Lecture 8: Spectral Algorthms Wrap-up In whch we talk about even more generalzatons of Cheeger s nequaltes, and

More information

arxiv: v1 [math.co] 1 Mar 2014

arxiv: v1 [math.co] 1 Mar 2014 Unon-ntersectng set systems Gyula O.H. Katona and Dánel T. Nagy March 4, 014 arxv:1403.0088v1 [math.co] 1 Mar 014 Abstract Three ntersecton theorems are proved. Frst, we determne the sze of the largest

More information

Projective change between two Special (α, β)- Finsler Metrics

Projective change between two Special (α, β)- Finsler Metrics Internatonal Journal of Trend n Research and Development, Volume 2(6), ISSN 2394-9333 www.jtrd.com Projectve change between two Specal (, β)- Fnsler Metrcs Gayathr.K 1 and Narasmhamurthy.S.K 2 1 Assstant

More information

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system. Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and

More information

HANSON-WRIGHT INEQUALITY AND SUB-GAUSSIAN CONCENTRATION

HANSON-WRIGHT INEQUALITY AND SUB-GAUSSIAN CONCENTRATION HANSON-WRIGHT INEQUALITY AND SUB-GAUSSIAN CONCENTRATION MARK RUDELSON AND ROMAN VERSHYNIN Abstract. In ths expostory note, we gve a modern proof of Hanson-Wrght nequalty for quadratc forms n sub-gaussan

More information

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2].

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2]. Bulletn of Mathematcal Scences and Applcatons Submtted: 016-04-07 ISSN: 78-9634, Vol. 18, pp 1-10 Revsed: 016-09-08 do:10.1805/www.scpress.com/bmsa.18.1 Accepted: 016-10-13 017 ScPress Ltd., Swtzerland

More information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several

More information

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017 U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that

More information

Ballot Paths Avoiding Depth Zero Patterns

Ballot Paths Avoiding Depth Zero Patterns Ballot Paths Avodng Depth Zero Patterns Henrch Nederhausen and Shaun Sullvan Florda Atlantc Unversty, Boca Raton, Florda nederha@fauedu, ssull21@fauedu 1 Introducton In a paper by Sapounaks, Tasoulas,

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

More information

Geometry of Müntz Spaces

Geometry of Müntz Spaces WDS'12 Proceedngs of Contrbuted Papers, Part I, 31 35, 212. ISBN 978-8-7378-224-5 MATFYZPRESS Geometry of Müntz Spaces P. Petráček Charles Unversty, Faculty of Mathematcs and Physcs, Prague, Czech Republc.

More information

An Introduction to Morita Theory

An Introduction to Morita Theory An Introducton to Morta Theory Matt Booth October 2015 Nov. 2017: made a few revsons. Thanks to Nng Shan for catchng a typo. My man reference for these notes was Chapter II of Bass s book Algebrac K-Theory

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

9 Characteristic classes

9 Characteristic classes THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

ON THE BURGERS EQUATION WITH A STOCHASTIC STEPPING STONE NOISY TERM

ON THE BURGERS EQUATION WITH A STOCHASTIC STEPPING STONE NOISY TERM O THE BURGERS EQUATIO WITH A STOCHASTIC STEPPIG STOE OISY TERM Eaterna T. Kolovsa Comuncacón Técnca o I-2-14/11-7-22 PE/CIMAT On the Burgers Equaton wth a stochastc steppng-stone nosy term Eaterna T. Kolovsa

More information

Supplementary material: Margin based PU Learning. Matrix Concentration Inequalities

Supplementary material: Margin based PU Learning. Matrix Concentration Inequalities Supplementary materal: Margn based PU Learnng We gve the complete proofs of Theorem and n Secton We frst ntroduce the well-known concentraton nequalty, so the covarance estmator can be bounded Then we

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

Binomial transforms of the modified k-fibonacci-like sequence

Binomial transforms of the modified k-fibonacci-like sequence Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc

More information

Composite Hypotheses testing

Composite Hypotheses testing Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter

More information

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng

More information

b ), which stands for uniform distribution on the interval a x< b. = 0 elsewhere

b ), which stands for uniform distribution on the interval a x< b. = 0 elsewhere Fall Analyss of Epermental Measurements B. Esensten/rev. S. Errede Some mportant probablty dstrbutons: Unform Bnomal Posson Gaussan/ormal The Unform dstrbuton s often called U( a, b ), hch stands for unform

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

arxiv: v1 [quant-ph] 6 Sep 2007

arxiv: v1 [quant-ph] 6 Sep 2007 An Explct Constructon of Quantum Expanders Avraham Ben-Aroya Oded Schwartz Amnon Ta-Shma arxv:0709.0911v1 [quant-ph] 6 Sep 2007 Abstract Quantum expanders are a natural generalzaton of classcal expanders.

More information

TAIL BOUNDS FOR SUMS OF GEOMETRIC AND EXPONENTIAL VARIABLES

TAIL BOUNDS FOR SUMS OF GEOMETRIC AND EXPONENTIAL VARIABLES TAIL BOUNDS FOR SUMS OF GEOMETRIC AND EXPONENTIAL VARIABLES SVANTE JANSON Abstract. We gve explct bounds for the tal probabltes for sums of ndependent geometrc or exponental varables, possbly wth dfferent

More information

Chowla s Problem on the Non-Vanishing of Certain Infinite Series and Related Questions

Chowla s Problem on the Non-Vanishing of Certain Infinite Series and Related Questions Proc. Int. Conf. Number Theory and Dscrete Geometry No. 4, 2007, pp. 7 79. Chowla s Problem on the Non-Vanshng of Certan Infnte Seres and Related Questons N. Saradha School of Mathematcs, Tata Insttute

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Lecture 17 : Stochastic Processes II

Lecture 17 : Stochastic Processes II : Stochastc Processes II 1 Contnuous-tme stochastc process So far we have studed dscrete-tme stochastc processes. We studed the concept of Makov chans and martngales, tme seres analyss, and regresson analyss

More information