SUBSPACES OF MATRICES WITH SPECIAL RANK PROPERTIES

Size: px
Start display at page:

Download "SUBSPACES OF MATRICES WITH SPECIAL RANK PROPERTIES"

Transcription

1 SUBSPACES OF MATRICES WITH SPECIAL RANK PROPERTIES JEAN-GUILLAUME DUMAS, ROD GOW, GARY MCGUIRE, AND JOHN SHEEKEY Absrac. Le K be a field and le V be a vecor space of finie dimension n over K. We invesigae properies of a subspace M of End K (V ) of dimension n(n r + 1) in which each non-zero elemen of M has rank a leas r and show ha such subspaces exis if K has a cyclic Galois exension of degree n. We also invesigae he maximum dimension of a consan rank r subspace of End K (V ) when K is finie. 1. Inroducion Le K be a field and le m and n be posiive inegers wih m n. Le M m n (K) denoe he vecor space of m n marices wih enries in K. When m = n, we wrie M n (K) in place of M n n (K). For any non-zero subspace U of M m n (K), we le U denoe he subse of non-zero elemens in U. Given a posiive ineger s, we le K s denoe he s-dimensional vecor space of row vecors of size s over K. We consider he elemens of M m n (K) as linear ransformaions from K m ino K n, he acion being defined by righ muliplicaion on elemens of K m. Le r be an ineger saisfying 1 r m. Much research has been devoed o he sudy of subspaces M, say, of M m n (K) which saisfy one of he hree following condiions: (1) Each elemen of M has rank a mos r. (2) Each elemen of M has rank r. We say ha M is a consan rank r subspace in his case. (3) Each elemen of M has rank a leas r. Paricular aenion has been focused on finding he maximum value of dim M in case M saisfies one of condiions (1), (2) or (3). Concerning condiion (1), noe ha if N denoes he subspace of M m n (K) consising of all marices whose boom m r rows are zero rows, each elemen of N has rank a mos r and dim N = nr. This simple observaion enables us o obain an upper bound for he dimension of a subspace saisfying condiion (3). Lemma 1. Suppose ha M is a subspace of M m n (K) wih rank T r for all T M. Then dim M n(m r + 1) Mahemaics Subjec Classificaion. 15A03, 15A33. Key words and phrases. rank, consan rank subspace, cyclic exension, marix, skewsymmeric marix. The auhors were suppored by Claude Shannon Insiue, Science Foundaion Ireland Gran 06/MI/006. 1

2 2 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY Proof. Replacing r by r 1, we know ha here exiss a subspace R, say, of M m n (K) of dimension n(r 1) whose elemens all have rank a mos r 1. Since M R = 0 and dim M m n (K) = mn, he desired inequaliy is immediae. While Lemma 1 is obained by elemenary means, i is ineresing o noe ha for cerain fields K, he bound we have obained is opimal. For suppose ha K admis a cyclic Galois exension of degree n. Then provided ha 1 r m n, Guralnick has shown in [8], Lemma 3.2, ha M m n (K) conains a subspace M wih rank T r for all T M and dim M = n(m r + 1). When K is finie, he exisence of such a subspace had been shown by Delsare in [4], Secion 6 (in paricular, Theorem 6.3). In general, however, here do no exis subspaces of he ype described in Lemma 1 which mee he upper bound for he dimension over arbiary fields K. Indeed, in unpublished work, referenced in [9], p.333, Meshulam has shown ha if K is algebraically closed and if m = n, he bound in Lemma 1 can be improved o dim M (n r + 1) 2. Furhermore, Roh has shown in [9], p.333, ha if K is infinie, here exiss a subspace M of M n (K) wih rank T r for all T M and dim M = (n r + 1) 2. Thus, Meshulam s bound is opimal for square marices in he algebraically closed case. We will invesigae he srucure of a subspace of m n marices of dimension n(m r + 1) whose non-zero elemens all have rank a leas r, and show some ineresing uniformiy in properies of hese subspaces. When K is finie, we will deermine combinaorially he number of elemens of any given rank in such a subspace, in erms of Gaussian coefficiens. This enumeraion has been performed previously by Delsare, [4], Theorem 5.6, who used complex characers defined on a finie abelian group o obain his conclusion. Using Delsare s characer formula, we show in Secion 4 ha if K is finie, a consan rank r subspace of M m n (K) has dimension a mos m + n r. This bound is generally poor for r less han m/2, and a bound much closer o n should be expeced. See, for example, Theorem 2 (and erraum) of [2]. Examples of Beasley, [1], and Boson, [3], show ha here are (n + 1)-dimensional consan rank n 1 subspaces of M n (F 2 ) for 3 n 5. The exisence of hese subspaces implies ha he bound above is opimal when m = n, r = n 1, K = 2 and 3 n 5. We show in his paper ha here is a 6-dimensional consan rank 3 subspace of M 4 5 (K) when K = 2, so ha he upper bound is again aained for r = 3, m = 4, n = 5. In Secion 6, we briefly describe some aspecs of rank quesions as hey relae o subspaces of skew-symmeric marices. Our main resul, Theorem 10, employs a characer formula of Delsare-Goehals, [5], o obain a dimension bound when n is odd for a consan rank subspace of n n skew-symmeric marices over a finie field. Again, his bound is unlikely o be opimal in mos cases. 2. Subspaces of marices of rank bounded below Le M be a subspace of M m n (K) each of whose non-zero elemens has rank a leas r. Suppose furhermore ha dim M equals n(m r + 1), he upper bound provided by Lemma 1. We will derive some properies of M in his secion. Lemma 2. Le M be a subspace of M m n (K) wih rank T r for all T M and suppose ha dim M = n(m r + 1). Le v 1,..., v m r+1 be linearly independen

3 SUBSPACES OF MATRICES 3 elemens of K m. Then given any m r +1 elemens w 1,..., w m r+1 of K m, here exiss a unique elemen T, say, of M wih for 1 i m r + 1. v i T = w i Proof. We may idenify K n(m r+1) wih he direc sum of m r + 1 copies of K n. Given he v i as above, we define a linear ransformaion θ : M K n(m r+1) by θ(t ) = (v 1 T,..., v m r+1 T ) for all T M. We claim ha ker θ = 0. For le T be an elemen of ker θ. Then ker T has dimension a leas m r + 1, since i conains he linearly independen vecors v 1,..., v m r+1. This conradics he supposiion ha rank T r and we deduce ha θ is injecive. Since dim M = dim K n(m r+1) = n(m r + 1), i follows ha θ is an isomorphism, and his esablishes he lemma. Definiion 1. Le M be a subspace of M m n (K) and le U be a subspace of K m. We se M U = {T M : ut = 0 for all u U}. M U is clearly a subspace of M. The following resul shows ha he subspaces M U exhibi uniform properies when M saisfies he hypoheses of Lemma 2. Theorem 1. Le M be a subspace of M m n (K) ha saisfies he hypoheses of Lemma 2. Then we have M U = 0 if dim U > m r and if dim U m r. dim M U = n(m + 1 r dim U) Proof. Suppose ha T M U. Then U ker T and hence r rank T m dim U. I follows ha M U = 0 if dim U > m r. Suppose now ha s = dim U m r. Le u 1,..., u s be basis vecors of U. We define a linear ransformaion φ : M K ns by φ(t ) = (u 1 T,..., u s T ) for all T M. Lemma 2 implies ha φ is surjecive. Furhermore, i is clear ha ker φ = M U. The formula for dim M U now follows from he rank-nulliy heorem. We noe wihou proof he following propery of he subspaces M U. Lemma 3. Given subspaces U and W of K m, we have M U M W = M U+W. Corollary 1. Le M be a subspace of M m n (K) ha saisfies he hypoheses of Lemma 2. Le U and W be subspaces of K m such ha dim(u + W ) > m r. Then M U M W = 0. Corollary 2. Le M be a subspace of M m n (K) ha saisfies he hypoheses of Lemma 2. Le U and W be differen subspaces of K m such ha dim U = dim W = m r. Then each elemen of M U and of M W has rank r and M U M W = 0.

4 4 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY Proof. Each elemen T of M U saisfies rank T r, since U ker T. However, rank T r, since T M U, and we deduce ha rank T = r. Clearly, he same conclusion holds for each elemen of M W. Now since U W, i follows ha dim(u + W ) > m r and herefore we obain by Corollary 1. M U M W = 0. We can now obain our main conclusion abou he srucure of he special subspaces of endomorphisms sudied in his secion. Theorem 2. Le M be a subspace of M m n (K) ha saisfies he hypoheses of Lemma 2. Then he subse of all elemens of rank r in M is he disjoin union of all he subses M U, as U ranges over all subspaces U of dimension m r in Km. Proof. We know ha he union of he subses M U is disjoin by Corollary 1. Now any elemen T of M wih rank T = r lies in he subse M W, where W = ker T. Since dim W = m r, we see ha he union described above comprises all elemens of rank r. We noe ha Theorem 2 applies o M = M m n (K), wih r = Enumeraion in he finie field case Le q be a power of a prime and le K = F q. Le M be a subspace of M m n (F q ), wih rank T r for all T M and dim M = n(m r + 1). We will enumerae he number of elemens in M of nulliy (equivalenly, of rank m ), where r m m. The answer depends only on q, m, n, r and, and no on how M is consruced. As we menioned earlier, he enumeraion was firs performed by Delsare in [4], Theorem 5.6, bu our mehod is differen, as we use only elemenary linear algebra and couning echniques, raher han complex characers. We noe ha he formulae obained generalize known resuls for he number of elemens of M m n (F q ) having a given nulliy, since M m n (F q ) is he unique subspace M when r = 1. We sar by inroducing some noaion. As we will be using conceps of nulliy, raher han rank, we se s = m r. We now define subses M and M of M by M = {T M : nulliy T = }, M = {T M : nulliy T } for 0 s. Using he noaion of Definiion 1, we have he following resul. Lemma 4. M = dim U= (M U ), he union being aken over all subspaces U of dimension. Proof. Suppose ha T M U. Then U ker T and hence nulliy T. I follows ha T M. Conversely, suppose ha T M. Then dim ker T and hence for any -dimensional subspace U of ker T, T M U. This implies he desired equaliy. The nex resul is he key o he evaluaion of M. We use he he familiar noaion [ n k] o denoe he q-gaussian coefficien which measures he number of subspaces of dimension k in an n-dimensional vecor space over F q.

5 SUBSPACES OF MATRICES 5 Lemma 5. We have M = Proof. We have seen ha [ ] m (q n(s +1) 1) M = dim U= s j=+1 (M U ). [ ] j M j. Le T M be an elemen saisfying nulliy T = i. Such a T occurs in exacly [ ] i subspaces M U, namely hose ha correspond o U being a -dimensional subspace of ker T. Thus, he elemens of rank in M are hose ha occur in exacly one subspace in he union. Couning he number of elemens in he union above, and aking ino accoun he mulipliciies due o any given elemen belonging o more ha one subspace, we obain [ ] [ ] m m (M U ) = (q n(s +1) 1). If we subrac from his sum he muliple conribuions due o elemens of nulliy greaer han, we obain [ ] m s [ ] j (q n(s +1) 1) M j j=+1 and his expression measures he number of elemens of nulliy, as required. We now use inducion o find M. Theorem 3. Le q be a power of a prime. Le M be a subspace of M m n (F q ), each of whose non-zero elemens has rank a leas r, and suppose ha dim M = n(m r + 1). Le s = m r. For 0 s, le M denoe he subse of elemens of nulliy in M. Then we have M = s +1 i=1 [ m s + 1 i ][ s + 1 i ] ( 1) s i+1 q (s i+1 2 ) (q in 1). Proof. We proceed by inducion on s. When s = 0, which occurs when = m r, he formula given in Lemma 5 implies ha [ ] m M s = (q n 1), s which is he value of M s prediced by he formula we wish o prove. Suppose now ha we have obained he formula for M +1,..., M s. We proceed o esablish he corresponding formula for M by inducion. We are hus assuming ha M j = s j+1 i=1 [ m s + 1 i ][ s + 1 i j ] ( 1) s j i+1 q (s j i+1 2 ) (q in 1) for + 1 j s. The coefficien of q in 1 in his expression is [ ][ ] ( 1) s j i+1 m s + 1 i q (s j i+1 2 ). s + 1 i j

6 6 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY Thus, applying he formula in Lemma 5, he coefficien of q in 1 in M is s+1 i [ ][ ][ ] j ( 1) s j i m s + 1 i q (s j i+1 2 ) s + 1 i j j=+1 and we wan o show ha his equals ( 1) s i+1 [ m s + 1 i ][ s + 1 i ] q (s i+1 2 ). Cancelling he common ( 1) s i erms, we herefore have o prove ha s+1 i [ ][ ][ ] j ( 1) j m s + 1 i q (s j i+1 2 ) = 0. s + 1 i j j= This is equivalen o showing ha he sum s+1 i [ ][ ] j s + 1 i ( 1) j q (s j i+1 2 ) j j= equals 0. We now se T = s i + 1. The sum above is hen T [ ][ ] j T ( 1) j j (T q 2 ). j j= By a well known propery of Gaussian coefficiens, [6], Exercise 2.6.2, we have [ ][ ] [ ][ ] j T T T = j T j and hus i suffices o prove ha T [ ] T ( 1) j j (T q 2 ) = 0. T j j= We now se l = T j and see ha he sum above is ransformed o T [ ] T ( 1) T ( 1) l q 2) (l. l l=0 This expression equals 0, by anoher well known propery of Gaussian coefficiens. See, for example, Formula 2, , in [6]. 4. Consan rank subspaces of marices We begin by skeching a known consrucion of n-dimensional consan rank r subspaces. Suppose ha L is a field exension of K of degree n. The regular represenaion of L over K provides us wih a subspace M n, say, of M n (K) in which each non-zero marix is inverible. Le T be an elemen of rank r in M m n (K). Then he subse T M n, consising of all lef muliples of elemens of M n by T, is a consan rank r subspace. We summarize his argumen as follows.

7 SUBSPACES OF MATRICES 7 Theorem 4. Suppose ha he field K has an exension field of degree n. Then here exiss a consan rank r subspace of M m n (K) of dimension n for each ineger r wih 1 r m. We are ineresed here in obaining a reasonable upper bound for he dimension of a consan rank r subspace of M m n (K). As far as we know, a he ime of his wriing, he bes general resul of his naure is he following, proved by Beasley and Laffey, [2], Theorem 2 (see also he erraum o his paper). Theorem 5. (Beasley and Laffey) Suppose ha 1 r m, K r + 1 and n 2r 1. Then he dimension of a consan rank r subspace of M m n (K) is a mos n. I is hus small finie fields which migh cause problems in aemping o obain a uniform resul abou he maximum dimension of a consan rank subspace, in line wih wha Theorems 4 and 5 sugges. We presen in Theorem 6 an upper bound for he dimension of a consan rank subspace over a finie field. In view of he resul of Beasley and Laffey, our resul is ineresing in ha involves no hypohesis abou he size of he field (oher han being finie), bu i is clearly generally weak compared wih Theorem 5 when m > 2r 1. Le p be a prime and le q be a power of p. Suppose for he remainder of his secion ha K = F q, he finie field of order q. Under addiion, M m n (F q ) is an elemenary abelian p-group of order q mn, and hus has q mn irreducible complex characers, which are homomorphisms from he addiive group ino he muliplicaive group of he complex numbers. We may describe hese characers in he following way. Le r : M m (F q ) F q denoe he usual (marix-heoreic) race funcion. Le τ : F q F p denoe he field-heoreic race funcion. Le ω be a primiive p-h roo of uniy in he complex numbers. Then for each S M m n (K), we define an irreducible characer λ S of by M m n (F q ) λ S (T ) = ω τ(r(st )) for all T M m n (F q ). (Here, T denoes he ranspose of T.) I is no difficul o show, using properies of he wo race funcions, ha we obain all irreducible characers of M m n (F q ) in his way. For 0 k m, le Ω k denoe he subse of all elemens of rank k in M m n (F q ). The funcion P k : M m n (F q ) C defined by P k = S Ω k λ S is he characer of a complex represenaion of M m n (F q ) (usually a reducible represenaion). Alhough expressed in slighly differen language, Delsare proves he following resul, [4], Theorem 3.1. Lemma 6. The characers P k ake equal (raional inegral) values on elemens of he same rank. Delsare uses P k (r) o denoe he value of P k on an elemen of rank r. We will only need he values P 1 (r) in our work here. See [4], Theorem A2 (noe ha he summaion index m in he prined formula mus be replaced by k).

8 8 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY Lemma 7. Wih he noaion inroduced above, we have P 1 (r) = (qm 1) q 1 + qn (q m r 1). q 1 We can now proceed o he proof of our main resul of his secion. Theorem 6. Le q be a power of he prime p and le M be a consan rank r subspace of M m n (F q ). Then dim M m + n r. Proof. Le = dim M. The resricion of he characer P 1 of M m n (F q ) o he subgroup M is also a characer of M and herefore elemenary characer heory implies ha he inner produc of his characer wih he rivial characer of M is an ineger. Now his inner produc is P 1 (0) + (q 1)P 1 (r) q, since all non-zero elemens of M have rank r by hypohesis. I follows ha P 1 (0) P 1 (r) (mod q ). Using Delsare s characer formula, Lemma 7, we obain I follows ha = dim M m + n r. q m+n r (q r 1) 0 (mod q ). The reader may compare our bound above wih he upper bound m + n 2r + 1 for he dimension of a consan rank r subspace of M m n (C), obained by Weswick in [10]. This upper bound may be improved o n r + 1 when n r + 1 does no divide (m 1)!/((r 1)!. The bound obained in Theorem 6 is paricularly poor when r = 1, since he correc upper bound for he dimension of a consan rank 1 subspace is n, a resul which holds for all fields. Noneheless, as we menioned in he inroducion, here are examples of (n + 1)-dimensional consan rank n 1 subspaces of M n (F 2 ) for 3 n 5. The exisence of hese subspaces implies ha he bound can be opimal in non-rivial ways. Example 1. Consider he 6-dimensional subspace U of M 4 5 (F 2 ) consising of he linear span of he marices , , , , , A consideraion of all cases shows ha U is a consan rank 3 space. By Theorem 5, a consan 3 rank subspace of M 4 5 (K) has dimension a mos 5 when K 4. Thus we see ha he resricion in he field size in Theorem 5 is appropriae when m = 4, n = 5 and r = 3..

9 SUBSPACES OF MATRICES 9 Example 2. If we adjoin an addiional zero row a he op of each marix of Example 3, he resuling marices span a 6-dimensional consan rank 3 subspace of M 5 (F 2 ). 5. A maximaliy resul for cerain consan rank subspaces Suppose ha M n (K) conains an n-dimensional consan rank n subspace, N, say. This occurs, for example, if K admis a field exension of degree n. Le T be any elemen of rank m 1 in M m n (K). The subspace M = T N is hen an n-dimensional consan rank m 1 subspace of M m n (K). We inend o show in his secion ha such an n-dimensional consan rank m 1 subspace is maximal when K is finie, ha is, he subspace is no conained in any (n + 1)-dimensional consan rank m 1 subspace. Definiion 2. Le R be a subspace of M m n (K). Given any non-zero vecor u in K m, we se R u = {T R : ut = 0}. This is in accordance wih he noaion used in Definiion 1. Lemma 8. Le R be a subspace of M m n (K) and le u be a non-zero elemen of K m. Suuppose ha dim R > n. Then dim R u > 0. Proof. We define a K-linear ransformaion ɛ : R K n by ɛ(s) = us for all S R. Since dim R > dim K n, ɛ is no injecive, and hence dim ker ɛ > 0. The desired resul now follows, since ker ɛ = R u. We omi he proof of he following simple fac. Lemma 9. Le M = T N be he n-dimensional consan rank m 1 subspace of M m n (K) described above. Le u be a basis vecor for he kernel of T. Then each nonzero elemen of M has he same kernel u. Lemma 10. Le R be a consan rank n 1 subspace of M m n (K) and le u, v be differen one-dimensional subspaces of V. Then R u R v = 0 Proof. This follows since a non-zero elemen in he inersecion would annihilae he linearly independen vecors u and v and hence have rank a mos m 2. Lemma 11. Le M = T N be he n-dimensional consan rank m 1 subspace of M m n (K) described in Lemma 9 and le u be a basis vecor for ker T. Suppose, if possible, ha here exiss an (n + 1)-dimensional consan rank m 1 subspace R of M m n (K) conaining M. Then if v K m is no a scalar muliple of u, we have while dim R v = 1, R u = M u = M.

10 10 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY Proof. Suppose ha v u. Then we know ha M v = 0. We hus have R v M = M v = 0. I follows ha dim R v 1, since M has codimension 1 in R. However, Lemma 8 implies ha dim R v 1 and hence dim R v = 1. Finally, we know ha R u conains M. If R u = R, hen R u has non-rivial inersecion wih any R v. This conradics Lemma 10 when u and v are linearly independen. We can now show ha here is no subspace R fulfilling he requiremens of Lemma 11 when K is finie. Theorem 7. Le M = T N be he n-dimensional consan rank m 1 subspace of M m n (K) described in Lemma 9. Then if K is finie, M is no conained in any larger consan rank m 1 subspace of M m n (K). Proof. Suppose by way of conradicion ha M is conained in he consan rank m 1 subspace R of dimension n + 1. Then we have R = R v, where v ranges over he one-dimensional subspaces of K m, and he subspaces R v have rivial inersecion wih each oher. Moreover, one subspace in he union above is M, he res are one-dimensional. Thus if K = q, couning non-zero vecors in R, we obain q n+1 1 = q n 1 + (qm q) (q 1). (q 1) This equaliy is clearly impossible when m n. The examples of Beasley, [1], and Boson, [3], imply ha he spaces M n (F 2 ) for 3 n 5 conain wo ypes of maximal consan rank n 1 subspaces. One ype has dimension n, he oher dimension n + 1. Similarly, M 4 5 (F 2 ) conains wo ypes of maximal consan rank 3 subspaces, one ype of dimension 5, he oher of dimension Subspaces of skew-symmeric marices wih special rank properies Specializing he rank heme described in he inroducion o his paper, i is an ineresing research problem o invesigae subspaces S, say, of skew-symmeric marices which possess one of he following hree properies. (1) Each elemen of S has rank a mos 2r. (2) Each elemen of S has rank 2r. (3) Each elemen of S has rank a leas 2r. We noe, as is well known, ha a skew-symmeric marix has even rank. Concerning condiion 3, we have he following resul, [7], Theorem 8. Theorem 8. Suppose ha he field K has a cyclic Galois exension field of odd degree n and le r be an ineger saisfying 2 2r n 1. Then here exiss a subspace S of skew-symmeric marices in M n (K) of dimension n(n 2r + 1)/2 in which each elemen T of S saisfies rank T 2r.

11 SUBSPACES OF MATRICES 11 Concerning Theorem 8, Delsare and Goehals show in [5], Theorem 4, ha if n is odd and K is finie, n(n 2r + 1)/2 is he maximum dimension of a subspace of skew-symmeric marices in M n (K) in which each non-zero elemen has rank a leas 2r. Their proof use characers defined on associaion schemes and we have no found a proof of his resul working in he conex of linear algebra, more especially, one which applies o infinie fields. (We do no know if he Delsare-Goehals upper bound even holds for infinie fields.) As far as consan rank subspaces of skew-symmeric marices are concerned, he following exisence heorem was esablished in [7]. Theorem 9. Suppose ha he field K has a cyclic Galois exension field of odd degree n and le s > 1 be a divisor of n. Then here exiss an n-dimensional consan rank n(s 1)/s subspace of skew-symmeric marices in M n (K). We do no know if here are values of r differen from n(s 1)/s for which here exiss an n-dimensional consan rank r subspace of skew-symmeric marices in M n (K). We conclude his secion by obaining a version of Theorem 6 for consan rank subspaces of skew-symmeric marices over finie fields. Our proof again uses characers of finie groups. Theorem 10. Le S be a consan rank 2r subspace of skew-symmeric marices in M n (F q ). Then dim S 2n 2r 1. Proof. Le A denoe he vecor space of n n skew-symmeric marices wih enries in F q. We may consider A o be an elemenary abelian p-group of order q nk, and S o be a subgroup of order q m, where m = dim S. For each ineger k wih 1 k [n/2], Delsare and Goehals consruc a (reducible) complex characer P k of A which akes he same inegral value on elemens of he same rank in A, [5], p.29. Following he noaion of [5], we le P 1 (r) denoe he value of P 1 on an elemen of rank 2r. By he formula (15) in [5], we have P 1 (r) = (q2 1) q qn (q 2 2r 1) q 2, 1 where n = is odd. In he case ha n is even, we have P 1 (r) = (qn 1) q qn 1 (q n 2r 1) q 2. 1 The res of he proof is idenical wih ha of Theorem 6. I may be of ineres o commen on he sharpness of he dimension bound obained above. When n is odd, here is an n-dimensional consan rank n 1 subspace of skew-symmeric marices in M n (F q ) and hus he bound given by he heorem is sharp in his case. When n is even, one can show ha he maximum dimension of a consan rank n subspace of skew-symmeric marices in M n (F q ) is n/2, whereas he heorem gives an upper bound of n 1 for he dimension. Thus he bound given by he heorem is weak in his case. On he oher hand, when m is an odd posiive ineger and n = 2m, we can consruc an m-dimensional consan rank m 1 subspace of skew-symmeric marices in M m (F q 2) and hen use he race map from F q 2 o F q o obain an n-dimensional consan rank n 2 subspace of skew-symmeric marices in M n (F q ). The heorem above gives n + 1 as he maximum dimension for such a consan rank subspace, so ha we are quie close

12 12 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY o a sharp bound here. A he ime of his wriing, we have no found any consan rank subspace of skew-symmeric marices in M n (F q ) of dimension greaer han n. 7. Consrucion of examples by field exension Le L be a field exension of K of finie degree m. Recall ha we may consider any vecor space over L o be a vecor space over K. In paricular, le V be a vecor space of finie dimension n over L and le V K denoe V considered as a vecor space over K. We have hen dim K V K = mn. Clearly, an L-linear endomorphism, σ, say, of V defines a K-linear endomorphism of V K, which we shall denoe by σ K. I is elemenary o see ha he mapping σ σ K is K-linear and injecive. Consequenly, we have a K-linear monomorphism End L (V ) End K (V K ) whose image has dimension mn 2 (and hence he monomorphism is an isomorphism only when L = K). The following fac abou his monomorphism is well known, bu we include a brief proof. Lemma 12. Wih he noaion inroduced above, rank σ K = m rank σ. Proof. Le N denoe he kernel of σ. Clearly, N K (N considered as a vecor space over K) is he kernel of σ K. We have hen rank σ = dim L V dim L N and rank σ K = dim K V K dim K N K = m dim L V m dim L N. The resul is immediae from hese equaliies. Suppose now ha M is a subspace of End L (V ) and le M K denoe is image under he mapping jus considered. Suppose ha he differen ranks of he non-zero elemens of M are r 1, r 2,..., r k. Then M K has dimension m dim L M and is non-zero elemens have rank mr 1, mr 2,..., mr k. This simple observaion provides a mehod for generaing subspaces of marices wih special rank properies. Suppose in paricular ha we have found an (n + 1)-dimensional consan rank n 1 subspace in M n (F q m), where m > 1. Then he consrucion described above creaes an m(n + 1)-dimensional consan rank m(n 1) subspace in M mn (F q ). Theorem 6 shows ha m(n + 1) is he maximum dimension for such a consan rank subspace. However, a his ime of wriing, he known examples are resriced o F 2, and we do no know wheher his small field is excepional in his heory. Le us assume for he res of his secion ha L is a separable exension of K. Le T denoe he race funcion from L o K. The separabiliy assumpion hen implies ha T maps L ono K. Le f : V V L be an L-valued bilinear form. We define a bilinear form f K : V K V K K by seing f K (u, v) = T (f(u, v)) for all u and v in V. We omi he formal proof of he following resul, which follows ha of Lemma 12.

13 SUBSPACES OF MATRICES 13 Lemma 13. Wih he noaion inroduced above, rank f K = m rank f. Furhermore, he mapping f f K is a K-linear monomorphism from he vecor space of all L-valued bilinear forms on V V (considered as a space over K) ino he vecor space of all K-valued bilinear forms on V K V K, whose image has dimension mn 2 over K. This monomorphism maps alernaing bilinear forms ino alernaing bilinear forms and symmeric bilinear forms ino symmeric bilinear forms. Corollary 3. Suppose ha K has a separable field exension L of degree m. Then here exiss a 3m-dimensional consan rank 2m subspace of skew-symmeric marices in M 3m (K) Proof. Le V be a 3-dimensional vecor space over L. The space of L-valued alernaing bilinear forms on V V is 3-dimensional and each non-zero elemen in his space has rank 2. The resul follows from Lemma 13. Thus, for example, aking K = R and L = C, we see ha here is a 6-dimensional consan rank 4 subspace of skew-symmeric marices in M 6 (R). Similarly, as we observed in he previous secion, when m is an odd posiive ineger and n = 2m, we can consruc an m-dimensional consan rank m 1 subspace of skew-symmeric marices in M m (F q 2) and hen obain an n-dimensional consan rank n 2 subspace of skew-symmeric marices in M n (F q ) for each prime power q. References [1] L. B. Beasley, Spaces of rank-2 marices over GF(2), Elecron. J. Linear Algebra 5 (1999), [2] L. B. Beasley and T. J. Laffey, Linear operaors on marices: he invariance of rank-k marices, Linear Algebra Appl. 133 (1990), Erraum, Linear Algebra Appl. 180 (1993), 2. [3] N. Boson, Spaces of consan rank marices over GF (2), Elecron. J. Linear Algebra 20 (2010), 1-5. [4] P. Delsare, Bilinear forms over a finie field, wih applicaions o coding heory, J. Combinaorial Theory Ser. A 25 (1978), [5] P. Delsare and J. M. Goehals, Alernaing bilinear forms over GF (q), J. Combinaorial Theory Ser. A 19 (1975), [6] I. P. Goulden and D. M. Jackson, Combinaorial Enumeraion, Wiley-Inerscience, New York, [7] R. Gow and R. Quinlan, Galois exensions and subspaces of alernaing bilinear forms wih special rank properies, Linear Algebra Appl. 430 (2009), [8] R. Guralnick, Inverible preservers and algebraic groups, Linear Algebra Appl. 212/213 (1994), [9] R. M. Roh, Maximum-rank array codes and heir applicaion o crisscross error correcion, IEEE Trans. Inform. Theory 37 (1991), [10] R. Weswick, Spaces of marices of fixed rank, Linear and Mulilinear Algebra 20 (1987),

14 14 J.-G. DUMAS, R. GOW, G. MCGUIRE, AND J. SHEEKEY Universié de Grenoble, France address: School of Mahemaical Sciences, Universiy College Dublin, Ireland address: School of Mahemaical Sciences, Universiy College Dublin, Ireland address: School of Mahemaical Sciences, Universiy College Dublin, Ireland address:

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu ON EQUATIONS WITH SETS AS UNKNOWNS BY PAUL ERDŐS AND S. ULAM DEPARTMENT OF MATHEMATICS, UNIVERSITY OF COLORADO, BOULDER Communicaed May 27, 1968 We shall presen here a number of resuls in se heory concerning

More information

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality Marix Versions of Some Refinemens of he Arihmeic-Geomeric Mean Inequaliy Bao Qi Feng and Andrew Tonge Absrac. We esablish marix versions of refinemens due o Alzer ], Carwrigh and Field 4], and Mercer 5]

More information

We just finished the Erdős-Stone Theorem, and ex(n, F ) (1 1/(χ(F ) 1)) ( n

We just finished the Erdős-Stone Theorem, and ex(n, F ) (1 1/(χ(F ) 1)) ( n Lecure 3 - Kövari-Sós-Turán Theorem Jacques Versraëe jacques@ucsd.edu We jus finished he Erdős-Sone Theorem, and ex(n, F ) ( /(χ(f ) )) ( n 2). So we have asympoics when χ(f ) 3 bu no when χ(f ) = 2 i.e.

More information

Monochromatic Infinite Sumsets

Monochromatic Infinite Sumsets Monochromaic Infinie Sumses Imre Leader Paul A. Russell July 25, 2017 Absrac WeshowhahereisaraionalvecorspaceV suchha,whenever V is finiely coloured, here is an infinie se X whose sumse X+X is monochromaic.

More information

Existence of positive solution for a third-order three-point BVP with sign-changing Green s function

Existence of positive solution for a third-order three-point BVP with sign-changing Green s function Elecronic Journal of Qualiaive Theory of Differenial Equaions 13, No. 3, 1-11; hp://www.mah.u-szeged.hu/ejqde/ Exisence of posiive soluion for a hird-order hree-poin BVP wih sign-changing Green s funcion

More information

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016 UNIVERSITÁ DEGLI STUDI DI PADOVA, DIPARTIMENTO DI MATEMATICA TULLIO LEVI-CIVITA Bernoulli numbers Francesco Chiai, Maeo Pinonello December 5, 206 During las lessons we have proved he Las Ferma Theorem

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

Math 315: Linear Algebra Solutions to Assignment 6

Math 315: Linear Algebra Solutions to Assignment 6 Mah 35: Linear Algebra s o Assignmen 6 # Which of he following ses of vecors are bases for R 2? {2,, 3, }, {4,, 7, 8}, {,,, 3}, {3, 9, 4, 2}. Explain your answer. To generae he whole R 2, wo linearly independen

More information

THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX

THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX J Korean Mah Soc 45 008, No, pp 479 49 THE GENERALIZED PASCAL MATRIX VIA THE GENERALIZED FIBONACCI MATRIX AND THE GENERALIZED PELL MATRIX Gwang-yeon Lee and Seong-Hoon Cho Reprined from he Journal of he

More information

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details!

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details! MAT 257, Handou 6: Ocober 7-2, 20. I. Assignmen. Finish reading Chaper 2 of Spiva, rereading earlier secions as necessary. handou and fill in some missing deails! II. Higher derivaives. Also, read his

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE

INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE INDEPENDENT SETS IN GRAPHS WITH GIVEN MINIMUM DEGREE JAMES ALEXANDER, JONATHAN CUTLER, AND TIM MINK Absrac The enumeraion of independen ses in graphs wih various resricions has been a opic of much ineres

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

arxiv: v1 [math.fa] 9 Dec 2018

arxiv: v1 [math.fa] 9 Dec 2018 AN INVERSE FUNCTION THEOREM CONVERSE arxiv:1812.03561v1 [mah.fa] 9 Dec 2018 JIMMIE LAWSON Absrac. We esablish he following converse of he well-known inverse funcion heorem. Le g : U V and f : V U be inverse

More information

Convergence of the Neumann series in higher norms

Convergence of the Neumann series in higher norms Convergence of he Neumann series in higher norms Charles L. Epsein Deparmen of Mahemaics, Universiy of Pennsylvania Version 1.0 Augus 1, 003 Absrac Naural condiions on an operaor A are given so ha he Neumann

More information

GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS

GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS GCD AND LCM-LIKE IDENTITIES FOR IDEALS IN COMMUTATIVE RINGS D. D. ANDERSON, SHUZO IZUMI, YASUO OHNO, AND MANABU OZAKI Absrac. Le A 1,..., A n n 2 be ideals of a commuaive ring R. Le Gk resp., Lk denoe

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM FRANCISCO JAVIER GARCÍA-PACHECO, DANIELE PUGLISI, AND GUSTI VAN ZYL Absrac We give a new proof of he fac ha equivalen norms on subspaces can be exended

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

SPECTRAL EVOLUTION OF A ONE PARAMETER EXTENSION OF A REAL SYMMETRIC TOEPLITZ MATRIX* William F. Trench. SIAM J. Matrix Anal. Appl. 11 (1990),

SPECTRAL EVOLUTION OF A ONE PARAMETER EXTENSION OF A REAL SYMMETRIC TOEPLITZ MATRIX* William F. Trench. SIAM J. Matrix Anal. Appl. 11 (1990), SPECTRAL EVOLUTION OF A ONE PARAMETER EXTENSION OF A REAL SYMMETRIC TOEPLITZ MATRIX* William F Trench SIAM J Marix Anal Appl 11 (1990), 601-611 Absrac Le T n = ( i j ) n i,j=1 (n 3) be a real symmeric

More information

Some Ramsey results for the n-cube

Some Ramsey results for the n-cube Some Ramsey resuls for he n-cube Ron Graham Universiy of California, San Diego Jozsef Solymosi Universiy of Briish Columbia, Vancouver, Canada Absrac In his noe we esablish a Ramsey-ype resul for cerain

More information

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type In. J. Conemp. Mah. Sci., Vol. 2, 27, no. 2, 89-2 Monoonic Soluions of a Class of Quadraic Singular Inegral Equaions of Volerra ype Mahmoud M. El Borai Deparmen of Mahemaics, Faculy of Science, Alexandria

More information

THE MATRIX-TREE THEOREM

THE MATRIX-TREE THEOREM THE MATRIX-TREE THEOREM 1 The Marix-Tree Theorem. The Marix-Tree Theorem is a formula for he number of spanning rees of a graph in erms of he deerminan of a cerain marix. We begin wih he necessary graph-heoreical

More information

NEW EXAMPLES OF CONVOLUTIONS AND NON-COMMUTATIVE CENTRAL LIMIT THEOREMS

NEW EXAMPLES OF CONVOLUTIONS AND NON-COMMUTATIVE CENTRAL LIMIT THEOREMS QUANTUM PROBABILITY BANACH CENTER PUBLICATIONS, VOLUME 43 INSTITUTE OF MATHEMATICS POLISH ACADEMY OF SCIENCES WARSZAWA 998 NEW EXAMPLES OF CONVOLUTIONS AND NON-COMMUTATIVE CENTRAL LIMIT THEOREMS MAREK

More information

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence MATH 433/533, Fourier Analysis Secion 6, Proof of Fourier s Theorem for Poinwise Convergence Firs, some commens abou inegraing periodic funcions. If g is a periodic funcion, g(x + ) g(x) for all real x,

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

More information

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 1, Issue 6 Ver. II (Nov - Dec. 214), PP 48-54 Variaional Ieraion Mehod for Solving Sysem of Fracional Order Ordinary Differenial

More information

Math-Net.Ru All Russian mathematical portal

Math-Net.Ru All Russian mathematical portal Mah-NeRu All Russian mahemaical poral Roman Popovych, On elemens of high order in general finie fields, Algebra Discree Mah, 204, Volume 8, Issue 2, 295 300 Use of he all-russian mahemaical poral Mah-NeRu

More information

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term Applied Mahemaics E-Noes, 8(28), 4-44 c ISSN 67-25 Available free a mirror sies of hp://www.mah.nhu.edu.w/ amen/ Properies Of Soluions To A Generalized Liénard Equaion Wih Forcing Term Allan Kroopnick

More information

4 Sequences of measurable functions

4 Sequences of measurable functions 4 Sequences of measurable funcions 1. Le (Ω, A, µ) be a measure space (complee, afer a possible applicaion of he compleion heorem). In his chaper we invesigae relaions beween various (nonequivalen) convergences

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

More information

Math 334 Fall 2011 Homework 11 Solutions

Math 334 Fall 2011 Homework 11 Solutions Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then

More information

Lecture 20: Riccati Equations and Least Squares Feedback Control

Lecture 20: Riccati Equations and Least Squares Feedback Control 34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

Optimality Conditions for Unconstrained Problems

Optimality Conditions for Unconstrained Problems 62 CHAPTER 6 Opimaliy Condiions for Unconsrained Problems 1 Unconsrained Opimizaion 11 Exisence Consider he problem of minimizing he funcion f : R n R where f is coninuous on all of R n : P min f(x) x

More information

LINEAR INVARIANCE AND INTEGRAL OPERATORS OF UNIVALENT FUNCTIONS

LINEAR INVARIANCE AND INTEGRAL OPERATORS OF UNIVALENT FUNCTIONS LINEAR INVARIANCE AND INTEGRAL OPERATORS OF UNIVALENT FUNCTIONS MICHAEL DORFF AND J. SZYNAL Absrac. Differen mehods have been used in sudying he univalence of he inegral ) α ) f) ) J α, f)z) = f ) d, α,

More information

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions Muli-Period Sochasic Models: Opimali of (s, S) Polic for -Convex Objecive Funcions Consider a seing similar o he N-sage newsvendor problem excep ha now here is a fixed re-ordering cos (> 0) for each (re-)order.

More information

On the Infinitude of Covering Systems with Least Modulus Equal to 2

On the Infinitude of Covering Systems with Least Modulus Equal to 2 Annals of Pure and Applied Mahemaics Vol. 4, No. 2, 207, 307-32 ISSN: 2279-087X (P), 2279-0888(online) Published on 23 Sepember 207 www.researchmahsci.org DOI: hp://dx.doi.org/0.22457/apam.v4n2a3 Annals

More information

1 Review of Zero-Sum Games

1 Review of Zero-Sum Games COS 5: heoreical Machine Learning Lecurer: Rob Schapire Lecure #23 Scribe: Eugene Brevdo April 30, 2008 Review of Zero-Sum Games Las ime we inroduced a mahemaical model for wo player zero-sum games. Any

More information

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013 IMPLICI AND INVERSE FUNCION HEOREMS PAUL SCHRIMPF 1 OCOBER 25, 213 UNIVERSIY OF BRIISH COLUMBIA ECONOMICS 526 We have exensively sudied how o solve sysems of linear equaions. We know how o check wheher

More information

ON UNIVERSAL LOCALIZATION AT SEMIPRIME GOLDIE IDEALS

ON UNIVERSAL LOCALIZATION AT SEMIPRIME GOLDIE IDEALS ON UNIVERSAL LOCALIZATION AT SEMIPRIME GOLDIE IDEALS JOHN A. BEACHY Deparmen of Mahemaical Sciences Norhern Illinois Universiy DeKalb IL 6115 U.S.A. Absrac In his paper we consider an alernaive o Ore localizaion

More information

Fréchet derivatives and Gâteaux derivatives

Fréchet derivatives and Gâteaux derivatives Fréche derivaives and Gâeaux derivaives Jordan Bell jordan.bell@gmail.com Deparmen of Mahemaics, Universiy of Torono April 3, 2014 1 Inroducion In his noe all vecor spaces are real. If X and Y are normed

More information

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous

More information

On Oscillation of a Generalized Logistic Equation with Several Delays

On Oscillation of a Generalized Logistic Equation with Several Delays Journal of Mahemaical Analysis and Applicaions 253, 389 45 (21) doi:1.16/jmaa.2.714, available online a hp://www.idealibrary.com on On Oscillaion of a Generalized Logisic Equaion wih Several Delays Leonid

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

EXISTENCE AND UNIQUENESS THEOREMS ON CERTAIN DIFFERENCE-DIFFERENTIAL EQUATIONS

EXISTENCE AND UNIQUENESS THEOREMS ON CERTAIN DIFFERENCE-DIFFERENTIAL EQUATIONS Elecronic Journal of Differenial Equaions, Vol. 29(29), No. 49, pp. 2. ISSN: 72-669. URL: hp://ejde.mah.xsae.edu or hp://ejde.mah.un.edu fp ejde.mah.xsae.edu EXISTENCE AND UNIQUENESS THEOREMS ON CERTAIN

More information

Inequality measures for intersecting Lorenz curves: an alternative weak ordering

Inequality measures for intersecting Lorenz curves: an alternative weak ordering h Inernaional Scienific Conference Financial managemen of Firms and Financial Insiuions Osrava VŠB-TU of Osrava, Faculy of Economics, Deparmen of Finance 7 h 8 h Sepember 25 Absrac Inequaliy measures for

More information

t j i, and then can be naturally extended to K(cf. [S-V]). The Hasse derivatives satisfy the following: is defined on k(t) by D (i)

t j i, and then can be naturally extended to K(cf. [S-V]). The Hasse derivatives satisfy the following: is defined on k(t) by D (i) A NOTE ON WRONSKIANS AND THE ABC THEOREM IN FUNCTION FIELDS OF RIME CHARACTERISTIC Julie Tzu-Yueh Wang Insiue of Mahemaics Academia Sinica Nankang, Taipei 11529 Taiwan, R.O.C. May 14, 1998 Absrac. We provide

More information

Some New Uniqueness Results of Solutions to Nonlinear Fractional Integro-Differential Equations

Some New Uniqueness Results of Solutions to Nonlinear Fractional Integro-Differential Equations Annals of Pure and Applied Mahemaics Vol. 6, No. 2, 28, 345-352 ISSN: 2279-87X (P), 2279-888(online) Published on 22 February 28 www.researchmahsci.org DOI: hp://dx.doi.org/.22457/apam.v6n2a Annals of

More information

The Arcsine Distribution

The Arcsine Distribution The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we

More information

Families with no matchings of size s

Families with no matchings of size s Families wih no machings of size s Peer Franl Andrey Kupavsii Absrac Le 2, s 2 be posiive inegers. Le be an n-elemen se, n s. Subses of 2 are called families. If F ( ), hen i is called - uniform. Wha is

More information

A problem related to Bárány Grünbaum conjecture

A problem related to Bárány Grünbaum conjecture Filoma 27:1 (2013), 109 113 DOI 10.2298/FIL1301109B Published by Faculy of Sciences and Mahemaics, Universiy of Niš, Serbia Available a: hp://www.pmf.ni.ac.rs/filoma A problem relaed o Bárány Grünbaum

More information

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS SARAJEVO JOURNAL OF MATHEMATICS Vol.10 (22 (2014, 67 76 DOI: 10.5644/SJM.10.1.09 CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS ALMA OMERSPAHIĆ AND VAHIDIN HADŽIABDIĆ Absrac. This paper presens sufficien

More information

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance.

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance. 1 An Inroducion o Backward Sochasic Differenial Equaions (BSDEs) PIMS Summer School 2016 in Mahemaical Finance June 25, 2016 Chrisoph Frei cfrei@ualbera.ca This inroducion is based on Touzi [14], Bouchard

More information

A NOTE ON THE STRUCTURE OF BILATTICES. A. Avron. School of Mathematical Sciences. Sackler Faculty of Exact Sciences. Tel Aviv University

A NOTE ON THE STRUCTURE OF BILATTICES. A. Avron. School of Mathematical Sciences. Sackler Faculty of Exact Sciences. Tel Aviv University A NOTE ON THE STRUCTURE OF BILATTICES A. Avron School of Mahemaical Sciences Sacler Faculy of Exac Sciences Tel Aviv Universiy Tel Aviv 69978, Israel The noion of a bilaice was rs inroduced by Ginsburg

More information

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Annales Academiæ Scieniarum Fennicæ Mahemaica Volumen 31, 2006, 39 46 CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Joaquim Marín and Javier

More information

Short Introduction to Fractional Calculus

Short Introduction to Fractional Calculus . Shor Inroducion o Fracional Calculus Mauro Bologna Deparameno de Física, Faculad de Ciencias Universidad de Tarapacá, Arica, Chile email: mbologna@ua.cl Absrac In he pas few years fracional calculus

More information

Chapter 6. Systems of First Order Linear Differential Equations

Chapter 6. Systems of First Order Linear Differential Equations Chaper 6 Sysems of Firs Order Linear Differenial Equaions We will only discuss firs order sysems However higher order sysems may be made ino firs order sysems by a rick shown below We will have a sligh

More information

Then. 1 The eigenvalues of A are inside R = n i=1 R i. 2 Union of any k circles not intersecting the other (n k)

Then. 1 The eigenvalues of A are inside R = n i=1 R i. 2 Union of any k circles not intersecting the other (n k) Ger sgorin Circle Chaper 9 Approimaing Eigenvalues Per-Olof Persson persson@berkeley.edu Deparmen of Mahemaics Universiy of California, Berkeley Mah 128B Numerical Analysis (Ger sgorin Circle) Le A be

More information

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check

More information

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION Novi Sad J. Mah. Vol. 32, No. 2, 2002, 95-108 95 POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION Hajnalka Péics 1, János Karsai 2 Absrac. We consider he scalar nonauonomous neural delay differenial

More information

Notes for Lecture 17-18

Notes for Lecture 17-18 U.C. Berkeley CS278: Compuaional Complexiy Handou N7-8 Professor Luca Trevisan April 3-8, 2008 Noes for Lecure 7-8 In hese wo lecures we prove he firs half of he PCP Theorem, he Amplificaion Lemma, up

More information

ACE 562 Fall Lecture 5: The Simple Linear Regression Model: Sampling Properties of the Least Squares Estimators. by Professor Scott H.

ACE 562 Fall Lecture 5: The Simple Linear Regression Model: Sampling Properties of the Least Squares Estimators. by Professor Scott H. ACE 56 Fall 005 Lecure 5: he Simple Linear Regression Model: Sampling Properies of he Leas Squares Esimaors by Professor Sco H. Irwin Required Reading: Griffihs, Hill and Judge. "Inference in he Simple

More information

Echocardiography Project and Finite Fourier Series

Echocardiography Project and Finite Fourier Series Echocardiography Projec and Finie Fourier Series 1 U M An echocardiagram is a plo of how a porion of he hear moves as he funcion of ime over he one or more hearbea cycles If he hearbea repeas iself every

More information

Boundedness and Exponential Asymptotic Stability in Dynamical Systems with Applications to Nonlinear Differential Equations with Unbounded Terms

Boundedness and Exponential Asymptotic Stability in Dynamical Systems with Applications to Nonlinear Differential Equations with Unbounded Terms Advances in Dynamical Sysems and Applicaions. ISSN 0973-531 Volume Number 1 007, pp. 107 11 Research India Publicaions hp://www.ripublicaion.com/adsa.hm Boundedness and Exponenial Asympoic Sabiliy in Dynamical

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind

Orthogonal Rational Functions, Associated Rational Functions And Functions Of The Second Kind Proceedings of he World Congress on Engineering 2008 Vol II Orhogonal Raional Funcions, Associaed Raional Funcions And Funcions Of The Second Kind Karl Deckers and Adhemar Bulheel Absrac Consider he sequence

More information

arxiv: v1 [math.pr] 19 Feb 2011

arxiv: v1 [math.pr] 19 Feb 2011 A NOTE ON FELLER SEMIGROUPS AND RESOLVENTS VADIM KOSTRYKIN, JÜRGEN POTTHOFF, AND ROBERT SCHRADER ABSTRACT. Various equivalen condiions for a semigroup or a resolven generaed by a Markov process o be of

More information

14 Autoregressive Moving Average Models

14 Autoregressive Moving Average Models 14 Auoregressive Moving Average Models In his chaper an imporan parameric family of saionary ime series is inroduced, he family of he auoregressive moving average, or ARMA, processes. For a large class

More information

A Note on Superlinear Ambrosetti-Prodi Type Problem in a Ball

A Note on Superlinear Ambrosetti-Prodi Type Problem in a Ball A Noe on Superlinear Ambrosei-Prodi Type Problem in a Ball by P. N. Srikanh 1, Sanjiban Sanra 2 Absrac Using a careful analysis of he Morse Indices of he soluions obained by using he Mounain Pass Theorem

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

THE GEOMETRY MONOID OF AN IDENTITY

THE GEOMETRY MONOID OF AN IDENTITY THE GEOMETRY MONOID OF AN IDENTITY Parick DEHORNOY Universié decaen Main idea: For each algebraic ideniy I, (more generally, for each family of algebraic ideniy, acually for each equaional variey), here

More information

Logarithmic limit sets of real semi-algebraic sets

Logarithmic limit sets of real semi-algebraic sets Ahead of Prin DOI 10.1515 / advgeom-2012-0020 Advances in Geomery c de Gruyer 20xx Logarihmic limi ses of real semi-algebraic ses Daniele Alessandrini (Communicaed by C. Scheiderer) Absrac. This paper

More information

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Robust estimation based on the first- and third-moment restrictions of the power transformation model h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,

More information

On Boundedness of Q-Learning Iterates for Stochastic Shortest Path Problems

On Boundedness of Q-Learning Iterates for Stochastic Shortest Path Problems MATHEMATICS OF OPERATIONS RESEARCH Vol. 38, No. 2, May 2013, pp. 209 227 ISSN 0364-765X (prin) ISSN 1526-5471 (online) hp://dx.doi.org/10.1287/moor.1120.0562 2013 INFORMS On Boundedness of Q-Learning Ieraes

More information

The Maximal Subgroups of The Symplectic Group Psp(8, 2)

The Maximal Subgroups of The Symplectic Group Psp(8, 2) ARPN Journal of Sysems and Sofware 2009-2011 AJSS Journal. All righs reserved hp://www.scienific-journals.org The Maximal Subgroups of The Symplecic Group Psp(8, 2) Rauhi I. Elkhaib Dep. of Mahemaics,

More information

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL: Ann. Func. Anal. 2 2011, no. 2, 34 41 A nnals of F uncional A nalysis ISSN: 2008-8752 elecronic URL: www.emis.de/journals/afa/ CLASSIFICAION OF POSIIVE SOLUIONS OF NONLINEAR SYSEMS OF VOLERRA INEGRAL EQUAIONS

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differenial Equaions 5. Examples of linear differenial equaions and heir applicaions We consider some examples of sysems of linear differenial equaions wih consan coefficiens y = a y +... + a

More information

A DELAY-DEPENDENT STABILITY CRITERIA FOR T-S FUZZY SYSTEM WITH TIME-DELAYS

A DELAY-DEPENDENT STABILITY CRITERIA FOR T-S FUZZY SYSTEM WITH TIME-DELAYS A DELAY-DEPENDENT STABILITY CRITERIA FOR T-S FUZZY SYSTEM WITH TIME-DELAYS Xinping Guan ;1 Fenglei Li Cailian Chen Insiue of Elecrical Engineering, Yanshan Universiy, Qinhuangdao, 066004, China. Deparmen

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE Topics MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES 2-6 3. FUNCTION OF A RANDOM VARIABLE 3.2 PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE 3.3 EXPECTATION AND MOMENTS

More information

Average Number of Lattice Points in a Disk

Average Number of Lattice Points in a Disk Average Number of Laice Poins in a Disk Sujay Jayakar Rober S. Sricharz Absrac The difference beween he number of laice poins in a disk of radius /π and he area of he disk /4π is equal o he error in he

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion

More information

An Excursion into Set Theory using a Constructivist Approach

An Excursion into Set Theory using a Constructivist Approach An Excursion ino Se Theory using a Consrucivis Approach Miderm Repor Nihil Pail under supervision of Ksenija Simic Fall 2005 Absrac Consrucive logic is an alernaive o he heory of classical logic ha draws

More information

BY PAWE L HITCZENKO Department of Mathematics, Box 8205, North Carolina State University, Raleigh, NC , USA

BY PAWE L HITCZENKO Department of Mathematics, Box 8205, North Carolina State University, Raleigh, NC , USA Absrac Tangen Sequences in Orlicz and Rearrangemen Invarian Spaces BY PAWE L HITCZENKO Deparmen of Mahemaics, Box 8205, Norh Carolina Sae Universiy, Raleigh, NC 27695 8205, USA AND STEPHEN J MONTGOMERY-SMITH

More information

GMM - Generalized Method of Moments

GMM - Generalized Method of Moments GMM - Generalized Mehod of Momens Conens GMM esimaion, shor inroducion 2 GMM inuiion: Maching momens 2 3 General overview of GMM esimaion. 3 3. Weighing marix...........................................

More information

Quasi-sure Stochastic Analysis through Aggregation

Quasi-sure Stochastic Analysis through Aggregation E l e c r o n i c J o u r n a l o f P r o b a b i l i y Vol. 16 (211), Paper no. 67, pages 1844 1879. Journal URL hp://www.mah.washingon.edu/~ejpecp/ Quasi-sure Sochasic Analysis hrough Aggregaion H. Mee

More information

Empirical Process Theory

Empirical Process Theory Empirical Process heory 4.384 ime Series Analysis, Fall 27 Reciaion by Paul Schrimpf Supplemenary o lecures given by Anna Mikusheva Ocober 7, 28 Reciaion 7 Empirical Process heory Le x be a real-valued

More information

A remark on the H -calculus

A remark on the H -calculus A remark on he H -calculus Nigel J. Kalon Absrac If A, B are secorial operaors on a Hilber space wih he same domain range, if Ax Bx A 1 x B 1 x, hen i is a resul of Auscher, McInosh Nahmod ha if A has

More information

When Linear and Weak Discrepancy are Equal

When Linear and Weak Discrepancy are Equal When Linear and Weak Discrepancy are Equal David M. Howard b,2, Sephen J. Young b,1, a School of Mahemaics, Georgia Insiue of Technology, Alana, GA 30332-0160 Absrac The linear discrepancy of a pose P

More information

ON THE DEGREES OF RATIONAL KNOTS

ON THE DEGREES OF RATIONAL KNOTS ON THE DEGREES OF RATIONAL KNOTS DONOVAN MCFERON, ALEXANDRA ZUSER Absrac. In his paper, we explore he issue of minimizing he degrees on raional knos. We se a bound on hese degrees using Bézou s heorem,

More information

WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL

WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL WHEN LINEAR AND WEAK DISCREPANCY ARE EQUAL DAVID M. HOWARD AND STEPHEN J. YOUNG Absrac. The linear discrepancy of a pose P is he leas k such ha here is a linear exension L of P such ha if x and y are incomparable,

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

Logic in computer science

Logic in computer science Logic in compuer science Logic plays an imporan role in compuer science Logic is ofen called he calculus of compuer science Logic plays a similar role in compuer science o ha played by calculus in he physical

More information