Summatory function of the number of prime factors

Size: px
Start display at page:

Download "Summatory function of the number of prime factors"

Transcription

1 Summatory function of the number of prime factor Xianchang Meng arxiv: v [math.nt] Jan 08 Abtract We conider the ummatory function of the number of prime factor for integer x over arithmetic progreion. Numerical experiment ugget that ome arithmetic progreion conit more number of prime factor than other. Greg Martin conjectured that the difference of the ummatory function hould attain a contant ign for all ufficiently large x. In thi paper, we provide trong evidence for Greg Martin conjecture. Moreover, we derive a general theorem for arithmetic function from the Selberg cla. Introduction and tatement of reult Let Ωn be the number of prime factor of n counted with multiplicity, and ωn be the number of ditinct prime factor of n. Hardy and Ramanujan [3] howed that x ωn = x log log x + Ax + O,. log log x and n x n x Ωn = x log log x + Bx + O x log log x,. for ome contant A and B. Thu, the average order of Ωn and ωn i log log n. The famou Erdő-Kac Theorem ee [] or [0] ay that the limiting ditribution of ωn log log n log log n i the tandard normal ditribution. 00 Mathematic Subject Claification: M6, N60, M36 Key word: Number of prime factor, Hankel contour, Generalized Riemann Hypothei

2 One may get better error term for the ummatory function in. and. by auming the Riemann Hypothei. Wolke [3] proved that the Riemann Hypothei i true if and only if ωn = x n x 0 j log x/ P j log log x log j x + O x +ɛ,.3 where P j are ome polynomial of degree. Similarly, under the Extended Riemann Hypothei ERH for Dirichlet L-function, we expect the following formula for the correponding ummatory function over arithmetic progreion, n a mod q n x ωn = x φq 0 j log x/ P j log log x log j x + O x +ɛ, a, q =. Thu, when we compare two different arithmetic progreion a b mod q, a, q = and b, q =, under the ERH, we have ωn ωn = O x +ɛ. n a mod q n x n b mod q n x Baed on the above analyi, one may expect that there are roughly equal number of prime factor in different arithmetic progreion. However, Greg Martin noticed that ome arithmetic progreion actually have more number of prime factor by doing numerical calculation. He conjectured that ωn ωn < 0.4 n mod 4 n x n 3 mod 4 n x hold for all ufficiently large x. In thi paper, we give trong evidence for Greg Martin conjecture.4. We conider both cae of Ωn and ωn. Let χ χ 0 be a non-principal Dirichlet character modulo q, and denote ψ f x, χ := n x χnfn, where f = ω or Ω. Theorem. Aume the ERH, the zero of L, χ are imple, and L, χ 0. For any fixed large T 0, we have { } x x ψ ω x, χ = aχ L, χ log x + L, χ L, χ log x x + L ρ, χxiγ log x + iγ + Σx, T 0,.5 0 where aχ = if χ i real, 0 otherwie, and ɛ > 0, lim up Y Y Σe y, T 0 dy T0 ɛ..6

3 Similarly, we have the following reult for ψ Ω x, χ. Theorem. Aume the ERH, the implicity of zero, and L, χ 0. For any fixed large T 0, { ψ Ω x, χ =aχ L + x log x where aχ = if χ i real, 0 otherwie, and ɛ > 0, } x x, χ log x + L, χ L, χ log x L ρ, χxiγ + iγ + Σx, T 0,.7 0 lim up Y Y Σe y, T 0 dy T0 ɛ..8 The Linear Independence Conjecture LI tate that all the poitive imaginary part of zero of L, χ are linearly independent over Q. In [7] and [8], the author ued ERH and LI to tudy the the ditribution of k-free number and ubtle difference of the number of product of k prime among different arithmetic progreion. Let χ 4 be the non-principal Dirichlet character mod 4, i.e. χ 4 = and χ 4 3 =. Let { P ω := N N : ωn } ωn < 0, and P Ω := { N N : n mod 4 n N n mod 4 n N Ωn n 3 mod 4 n N n 3 mod 4 n N Ωn > 0 Since L, χ 4 >0, by Theorem and and further auming LI, we deduce that the logarithmic denitie of the et P ω and P Ω are both equal to. The logarithmic denity of a et S i defined to be δs := lim X log X n X,n S Although we cannot prove the full Greg Martin conjecture.4, we give trong evidence to upport thi conjecture ubject to the ERH and LI. In order to prove the full conjecture, one may need to formulate new idea and introduce more powerful tool. We numerically calculated ψ Ω x, χ 4 and ψ ω x, χ 4 for x 0 8. See Figure. and.. In thee two graph, the blue dot are numerical data and the red line are the function of the main term predicted in our theorem. We ee that our theorem match very well with numerical calculation. Greg Martin provided u more numerical data for different Dirichlet character, including both real and complex character. See Figure.3 and.4. The tructure of thi paper i a follow. In Section, we give the proof of our main theorem. In Section 3, we generalize the method ued in [8] and thi paper to more general arithmetic function in Selberg cla. 3 n. }.

4 Figure.: Graph of ψ Ω x, χ 4 Figure.: Graph of ψ ω x, χ 4 4

5 Figure.3: Real Dirichlet character mod 7 5

6 Figure.4: Complex Dirichlet character mod 7 Proof of Theorem Conider the Dirichlet erie, F ω, χ := n= ωnχn n = L, χf, χ,. 6

7 and where F Ω, χ := n= F, χ = Ωnχn n = L, χ F, χ + F, χ + F 3, χ 3 +,. p prime χp p = log L, χ log L, χ + G,.3 with G abolutely convergent for R σ 0 = In our proof, we borrow the idea developed in [8] to deal with the ingularitie of F ω, χ and F Ω, χ. In [8], we mainly dealt with power of log L, χ. In thi paper, we have to take care of L, χ log L, χ with more careful calculation.. Contour Integral Repreentation By Perron formula [5], Chapter V, Theorem, we have Lemma. For any T, ψ f x, χ = πi c+it where c = +, and f = ω or Ω. log x c it F f, χ x x log x + O +, T Under the ERH, uing the imilar method a in [] Theorem 4.6, one can how that, for any ɛ > 0 and χ χ 0 mod q, there exit a equence of number T = {T n } n=0 atifying n T n n + uch that, Tn ɛ Lσ + it n, χ Tn δ+ɛ, δ < σ <. Let ρ be a zero of L, χ, ρ be the ditance of ρ to the nearet other zero, and D γ := γ T. For each zero ρ, and X > 0, let Hρ, X denote the truncated Hankel contour min T T urrounding the point = ρ with radiu 0 < r ρ min, ρ, Dγ, which include the circle x 3 ρ = r ρ excluding the point = ρ r ρ, and the half-line ρ X, ρ r] traced twice with argument +π and π repectively. Let H, X denote the correponding Hankel contour urrounding = with radiu r 0 =. x Take δ =. By Lemma, we pull the contour to the left to the line R = δ 00 uing the truncated Hankel contour Hρ, δ to avoid the zero of L, χ and uing H, δ to avoid the point =. See Figure.. Then we have the following lemma. Lemma. Aume the ERH, and L, χ 0 χ χ 0. Then for T T, ψ f x, χ = F f, χ x d + aχ F f, χ πi Hρ,δ πi H x,δ x log x + O + x T T + x δ ɛ δ T δ+ɛ,.4 where aχ = if χ i real, 0 otherwie, and f = ω or Ω. 7

8 Figure.: Integration contour Proof. By. and., if χ i not real, = i not a ingularity. Under the ERH, the integral on the horizontal line i bounded by c O T δ+ɛ xσ δ T dσ x = O..5 T δ ɛ And the integral on the vertical line R = δ i bounded by T t + δ+ɛ x δ O dt = O x δ T δ+ɛ..6 t + Then by Lemma, we get the deired formula. T Let H0, X be the truncated Hankel contour urrounding 0 with radiu r. For implicity, we denote [ ] d j Γ j u := dz j Γz. z=u Lemma 3 [6], Lemma 5. For X >, z C and j Z +, we have w z log w j e w dw = j dj + E πi dz j j,z X, Γz H0,X 8

9 where E j,z X eπ Iz π X log t + π j dt. t Rz e t Lemma 4 [8], Lemma. For any integer k and m 0. We have δ 0 log σ iπ k log σ + iπ k σ m x σ dσ m,k log log x k log x m+. Similar to the proof of Lemma 8 in [8], we have the following reult. Lemma 5. Let Ha, δ be the truncated Hankel contour urrounding a complex number a Ra > δ with radiu 0 < r. Then, for any integer k, l 0 x a l log k a x πi Ha,δ = k x a k k log log x k j alog x l+ j Γ j= j l k x a k k log log x k j a log x l+ j Γ j= j l x a log log x k x a δ/ + O k,l + O a Ra δ log x l+3 k,l + xa δ/. a a Proof of Lemma 5. We have the equality = a + a + a a. a With the above equality, we write the integral in the lemma a a l log k a πi a + a a + x =: I a a + I + I 3. Ha,δ For I 3, uing Lemma 4, we get a l log k a a x Ha,δ a δ log σ iπ k log σ + iπ k σ l+ x σ x a r a a σ dσ π + x Ra+r log k π r + π r l+ a Ra r rdα x a δ log σ iπ k log σ + iπ k σ l+ x σ dσ + log + r πk a Ra δ 0 /r l+3 x a log log x k k,l + x a log log x k a Ra δ log x l+3 x l+3 ɛ k,l.7 a Ra δ log x l+3 For I, uing change of variable a log x = w, by Lemma 3, I = w l log w log log x k xa e w πi log x l+ a dw H0,δ log x 9

10 = x a alog x l+ k log log x k πi k + x a alog x l+ = k x a alog x l+ + j= k j= x a alog x l+ k j πi H0,δ log x H0,δ log x w l e w dw log log x k j w l log w j e w dw k log log x k j j Γ j l k k E j, l δ log x log log x k j..8 j j= By Lemma 3, E j, l δ log x t l log t + π j π δ log x e t Hence, we get Ha,δ x a alog x l+ k,l k j= x Ra a log x l+ dt j e δ log x δ log x k E j, l δ log x log log x k j j t l log t j e t/ dt j,l x δ. k x δ log log x k j x a δ/ k,l..9 a j= For I, we have a l log k a a x = πi a a πi Ha,δ a l+ log k a x d..0 a Then, we replace l by l + in the formula of I and multiply by. Thu, we get a I = k x a a log x l+ k j= k log log x k j j Γ j l + O k,l x a δ/ a.. Combining.7,.8,., and.9, we get the concluion of thi lemma.. Proof of Theorem and By. and., we have F ω, χ = L, χ log L, χ L, χ log L, χ + L, χg,. and F Ω, χ = L, χ log L, χ + L, χ log L, χ + L, χg,.3 0

11 where G and G are abolutely convergent for R σ 0 = On Hρ, δ, by integration from 3 in Lemma 8 ee Section.3 below, we have with We write where H ρ = log L, χ = log ρ + H ρ,.4 0< γ γ log ρ + Olog γ..5 L, χ = L ρ, χ ρ + M, ρ ρ,.6 M, ρ := 0 tl ρ + t ρ, χdt..7 Under the ERH, we have M, ρ γ δ+ɛ on Hρ, δ. Now we define a function T x a follow, for T n T atifying [ e n] T n [ e n] +, let T x = T n for e 5 4 n x e 5 4 n+. In particular, we have Thu, by Lemma, for T = T x, ψ ω x, χ = πi Hρ,δ + O x δ 0, and ψ Ω x, χ = + O πi x δ 0. Hρ,δ x 3 T x x 5 6 x e 5 4. L, χ log L, χ x L, χ log L, χ x On each truncated Hankel contour Hρ, δ, d aχ d + aχ πi πi H,δ L, χ log L, χ x.8 H,δ L, χ log L, χ x.9 L, χ log L, χ = L ρ, χ ρ log ρ + M, ρ ρ log ρ + L, χh ρ..0 Since = ρ i not ingularity of L, χh ρ, and by Lemma 5, πi = Hρ,δ πi L, χ log L, χ x Hρ,δ L ρ, χ ρ log ρ + M, ρ ρ log ρ x

12 x = log x L ρ, χx iγ + iγ + O x log 3 + x M, ρ ρ log ρ x πi Hρ,δ.. For the econd integral in.8, if χ i real, = i a pole of L, χ. On the truncated Hankel contour H, δ, we have log L, χ = log + H B,. where H B = O on H, δ. And we write L, χ = L, χ + L, χ + M B,,.3 where, M B, := By.,.3, and Lemma 5, we get 0 tl + t, χ dt = O, on H, δ..4 L, χ log L, χ πi H x,δ = L πi H,δ, χ + L, χ log x M B, log πi H,δ x x x x =L, χ log x + 4L, χ L, χ log x + O log 3 x, log πi x d..5 H,δ M B Then, by Lemma 4, ince r 0 = x, πi M B H,δ δ M B r 0 π r0 0 + x log 3 x + log x x 3, log x σ, σ log σ iπ log σ + iπ x/ σ / σ dσ log + π r 0 dα r 0 x log 3 x..6

13 By.5 and.6, we deduce that L, χ log L, χ πi H x,δ x =L, χ log x + 4L, χ L, χ Thu, by.8,.9,., and.7, we have { x ψ ω x, χ = aχ L, χ log x + L, χ L, χ x L ρ, χx iγ + log x + iγ + πi Hρ,δ + O x log 3 x x x log x + O log 3..7 x } x log x M, ρ ρ log ρ x,.8 and { x ψ Ω x, χ =aχ L, χ log x + L, χ L, χ x L ρ, χx iγ + log x + iγ + πi Hρ,δ x + O log 3 x In the following, for T = T x, define Σx, χ := log x x For fixed large T 0, let Sx, T 0 ; χ := } x log x M, ρ ρ log ρ x..9 x Hρ,δ M, ρ ρ log ρ x d..30 L ρ, χx iγ + iγ L ρ, χxiγ + iγ..3 0 Then we have the following reult. We give their proof in later ubection. Lemma 6. The following lemma i imilar to Lemma in [8]. Lemma 7. For any ɛ > 0, Σe y, χ dy = O..3 Se y, T 0 ; χ dy 3 Y T ɛ 0 + log Y T ɛ 0 + T ɛ 0..33

14 By.8,.9, and Lemma 6 and 7, Theorem and follow. Remark. The reult of Lemma 6 eem good. Actually, we have X Σx, χ dx = ox..34 However, Lemma 7 prevent u from proving a better reult for our theorem..3 Proof of Lemma 6 and 7 Firt, we need the following lemma on the zero of Dirichlet L-function. Let γ be the imaginary part of a zero of L, χ in the critical trip. Lemma 8 [], Lemma.. Let χ be a Dirichlet character modulo q. Let NT, χ denote the number of zero of L, χ with 0 < R < and I < T. Then NT, χ = OT logqt for T. NT, χ NT, χ = OlogqT for T. 3 Uniformly for = σ + it and σ, L, χ L, χ = γ t < Similar to Lemma.4 in [], we have Lemma 9. Aume L, χ 0. For A 0 and 0 δ <, γ, γ A γ γ + Olog q t ρ γ δ γ δ γ γ loga + A + δ. Proof of Lemma 9. We only need to etimate the cae γ γ. By Lemma 8 and partial ummation, the um in the lemma i γ A γ A γ δ γ γ < γ log γ + γ δ γ δ We get the concluion of thi lemma. γ + δ γ δ γ γ γ γ γ γ γ loga A + δ In the following, we ue the above lemma to prove Lemma 6 and 7. Proof of Lemma 6. We rewrite Σx, χ a log x x iγ M, ρ ρ log ρ x ρ d..37 Hρ,δ 4

15 Let Γ ρ repreent the circle in the Hankel contour Hρ, δ. Denote Ex; ρ := M, ρ ρ log ρ x ρ d Hρ,δ δ = M/ σ + iγ, ρσ log σ iπ log σ + iπ r ρ + M, ρ ρ Γρ log ρ x ρ d x σ / σ + iγ dσ =:E h x; ρ + E r x; ρ..38 Since we aume r ρ, and T x x 5 6, x x iγ E r x; ρ E r x; ρ Next, we take care of the following um x iγ E h x; ρ = + γ γ γ, γ T By.38 and uing change of variable, Hence, For Σ x, γ δ ɛ x r ρ log + π r ρ γ γ > γ, γ T xiγ γ E h x; ρ E h x; ρ..39 x ɛ =: Σ x + Σ x..40 E h x; ρ γ δ ɛ y 4 Σ e y dy Σ x = γ γ > γ, γ T For e 5 4 l x e 5 4 l+, T = T x = T l Jx := γ γ > γ, γ T l δ δ x iγ γ r ρ δ 0 σ x σ dσ γ δ ɛ log 3 x y γ.4 dy = O..4 γ δ ɛ x iγ γ E h x; ρ E h x; ρ..43 i a contant, o we define dσ dσ R ρ σ ; xr ρ σ ; x r ρ iγ γ σ + σ,.44 where R ρ σ; x = M/ σ + iγ, ρσ log σ iπ log σ + iπ e 5 4 l+ e 5 4 l γ γ > γ, γ T l x σ / σ+iγ. Thu, x iγ γ E h x; ρ E h x; ρ dx x = Je 5 4 l+ Je 5 4 l..45 5

16 By Lemma 9, Jx γ γ > γ δ ɛ γ δ ɛ γ γ log 6 x log 6 x..46 Hence, for any poitive integer l, Therefore, 5 4 l+ Σ e y dy l 5/4 4 l y 4 Σ e y dy l log Y log5/4 + 4l l l Σ e y dy l log Y log5/4 + 5/4 l = O..48 Combining.39,.4, and.48, we get the deired reult. Proof of Lemma 7. For fixed T 0, let X 0 be the larget x uch that T = T x T 0. Since x 3 T x x 5 6, log X 0 log T 0. Under the ERH, L ρ, χ γ ɛ, by Lemma 8 and 9, T ɛ 0 + T ɛ 0 + Se y, T 0 ; χ dy Y T ɛ 0 log log X 0 log5/4 l log Y log5/4 + log log X 0 log5/4 l log Y log5/4 + + log Y T ɛ 0 + T ɛ 0. log X0 5 4 l+ 5 4 l γ ɛ 0 l 5 4 Thi complete the proof of thi lemma. dy + γ γ T 0 γ, γ T l γ T 0 γ ɛ + + log X 0 T 0 e y γ γ > T 0 γ, γ T l γ, γ T 0 3 General Theorem in the Selberg cla L ρ, χe iγy + iγ dy L ρ, χl ρ, χe iγ γ y + iγ iγ dy γ ɛ γ ɛ γ γ Selberg cla S conit a cla of Dirichlet erie introduced by Selberg []. A Dirichlet erie an F = σ >, 3. n n= i in S provided it atifie the following hypothee. Ramanujan Hypothei: an n ɛ for any ɛ > 0; 6

17 Analyticity: m F i an entire function of finite order for ome nonnegative integer m; 3Functional Equation: there exit poitive real number Q, λ,, λ r, and complex number w, µ,, µ r with Rµ j 0 and w = uch that where Λ F = wλ F, Λ F = F Q r Γλ j + µ j ; 4 Euler Product: for prime power p k there exit complex number bp k atifying log F = bp m p m p m= and bp m p mθ for ome θ <. Let d F be the degree of F S defined by d F = j= r λ j. We aume the correponding Hypothee, Grand Riemann Hypothei GRH: if F S, then F 0 for σ > ; and the Lindelöf Hypothei LH S: ɛ > 0, F t + ɛ for σ. If the Dirichlet erie fn n= can be written a linear combination of the form n log k F for F S and F ha no pole, then we can prove the exitence of a limiting ditribution related to the ummatory function j= S f x := n x fn. 3. It uffice to conider Suppoe let πi a+i n= a i log k F x d. 3.3 n n = log k F, 3.4 Sx := n x n. 3.5 We have the following theorem. Theorem 3. Under the aumption GRH and LH S, Sx = k k x log log x k mk γxiγ log x + iγ + Σx, T 0,

18 where lim up Y Y Σe y, T 0 dy log T 0 k+ T Sketch of the proof of Theorem 3 We have correponding reult for Selberg cla. Lemma 0 [4],.4, or [9], 4. Let F be in Selberg cla. Let N F T denote the number of zero of F with 0 < R < and 0 < I < T. Then N F T = d F π T log T + c F T + Olog T, 3.8 where d F i the degree of F and c F i a poitive contant. Lemma [9], Lemma.. Let F be in the Selberg cla and denote the nontrivial zero of F by ρ = β + iγ. Then, for 5 σ 7, log F = log ρ + Olog t, 3.9 t γ where π < I log ρ π for any t not equal to an ordinate of a zero of F. By Lemma 0, for any integer n 0, there exit n T n n + uch that the ditance of σ + it n to the nearet zero i df for all < σ <. Then, by Lemma, for log n < σ <, log F σ + it n df log n log log n df log T n. 3.0 Denote T := {T n } n=0. Then, uing the ame type of integration contour a Figure., we have Lemma. Aume the GRH, LH S, and F 0. Let ρ be nontrivial zero of F. Then for T T, Sx = log k F x x log x πi Hρ,δ + O xlog T k k + T T By Lemma, on Hρ, δ, we have log k F x πi = + πi Hρ,δ Hρ,δ πi Hρ,δ mγ log ρ k x k j= + x δ log T k+. 3. k mγ log ρ k j H ρ j x d, 3. j 8

19 where mγ i the multiplicity of the zero ρ and mγ log γ by Lemma 0, and H ρ = mγ log ρ + Olog γ on Hρ, δ. 3.3 j= 0< γ γ For the firt integral in 3., by Lemma 5 and Lemma 0, we get mγ log ρ k x πi Hρ,δ k = k x k log log x k j m k γx iγ xlog log x k log x j Γ j 0 + iγ + O k log. x 3.4 For the econd integral in 3., with the ame T x a before, uing the ame proof a Lemma 4 in [8], we have the following lemma. Lemma 3. Let ρ be a zero of F. Aume the function g log γ c on Hρ, δ for ome contant c 0, and H ρ = mγ log ρ + O log γ on Hρ, δ < γ γ For any integer l, n 0, denote Ex; ρ := Then, for T = T x, we have y and Denote Hρ,δ e y S x := k k j= S x; T 0 := Similar to Lemma in [8], we have Lemma 4. and for fixed large T 0, mγ log ρ l H ρ n g x ρ d. e iγy Ee y ; ρ dy = o Y log Y l+n. k log log x k j j Γ j 0 x S e y, T 0 dy Y log T 0 k+ m k γx iγ + iγ 0 m k γx iγ, iγ mk γxiγ iγ S e y dy = oy log Y k, 3.8 T 0 + log Y log T 0 k+3 T 0 + log T 0 k

20 Combining 3. and 3.4 with Lemma 3 and 4, Theorem 3 follow. Acknowledgement. I would like to thank Profeor Greg Martin for propoing me thi project and kindly providing me related numerical data. Reference [] P. Erdő and M. Kac, The Gauian law of error in the theory of additive number theoretic function, Amer. J. Math [] K. Ford, J. Sneed, Chebyhev bia for product of two prime. Experiment. Math., Volume 9, Iue 4 00, [3] G. H. Hardy and S. Ramanujan. The normal number of prime factor of a number n. Quart. J. Math , [4] J. Kaczorowki and A. Perelli, On the tructure of the Selberg cla, VII: < d <, Ann. Math [5] A. A. Karatuba, Baic Analytic Number Theory, Springer-Verlag, 993. [6] Y. K. Lau, J. Wu. Sum of ome multiplicative function over a pecial et of integer. Acta Arithmetica [7] Xianchang Meng, The ditribution of k-free number and the derivative of the Riemann Zeta-function, Math. Proc. Cambridge Philo. Soc., 6 07, no., pp [8] Xianchang Meng, Chebyhev bia for product of k prime, 06, to appear in Algebra and Number Theory, arxiv: [9] L. Pańkowki, J. Steuding, Extreme value of L-function from the Selberg cla. Int. J. of Number Theory, Vol. 9, No [0] A. Rényi and P. Túran, On a theorem of Erdő-Kac, Acta. Arith [] A. Selberg, Old and new conjecture and reult about a cla of Dirichlet erie, in Proc. Amalfi Conf. Analytic Number Theory, Maiori, 989, ed. E. Bombieri et al. Univerità di Salerno, 99, pp [] E. C. Titchmarh, The Theory of the Riemann Zeta-function, nd ed. rev. by D. R. Heath-Brown, Clarendon Pre, Oxford 986 [3] D. Wolke. Über die zahlentheoretiche Funktion ωn. Acta Arith , Centre de Recherche Mathématique, Univerité de Montréal, Montréal, QC, H3C 3J7 Canada meng@crm.umontreal.ca 0

Riemann s Functional Equation is Not Valid and its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr.

Riemann s Functional Equation is Not Valid and its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr. Riemann Functional Equation i Not Valid and it Implication on the Riemann Hypothei By Armando M. Evangelita Jr. On November 4, 28 ABSTRACT Riemann functional equation wa formulated by Riemann that uppoedly

More information

arxiv: v2 [math.nt] 30 Apr 2015

arxiv: v2 [math.nt] 30 Apr 2015 A THEOREM FOR DISTINCT ZEROS OF L-FUNCTIONS École Normale Supérieure arxiv:54.6556v [math.nt] 3 Apr 5 943 Cachan November 9, 7 Abtract In thi paper, we etablih a imple criterion for two L-function L and

More information

Riemann s Functional Equation is Not a Valid Function and Its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr.

Riemann s Functional Equation is Not a Valid Function and Its Implication on the Riemann Hypothesis. Armando M. Evangelista Jr. Riemann Functional Equation i Not a Valid Function and It Implication on the Riemann Hypothei By Armando M. Evangelita Jr. armando78973@gmail.com On Augut 28, 28 ABSTRACT Riemann functional equation wa

More information

Lecture 8: Period Finding: Simon s Problem over Z N

Lecture 8: Period Finding: Simon s Problem over Z N Quantum Computation (CMU 8-859BB, Fall 205) Lecture 8: Period Finding: Simon Problem over Z October 5, 205 Lecturer: John Wright Scribe: icola Rech Problem A mentioned previouly, period finding i a rephraing

More information

Riemann Paper (1859) Is False

Riemann Paper (1859) Is False Riemann Paper (859) I Fale Chun-Xuan Jiang P O Box94, Beijing 00854, China Jiangchunxuan@vipohucom Abtract In 859 Riemann defined the zeta function ζ () From Gamma function he derived the zeta function

More information

Lecture 3. January 9, 2018

Lecture 3. January 9, 2018 Lecture 3 January 9, 208 Some complex analyi Although you might have never taken a complex analyi coure, you perhap till know what a complex number i. It i a number of the form z = x + iy, where x and

More information

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL GLASNIK MATEMATIČKI Vol. 38583, 73 84 TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL p-laplacian Haihen Lü, Donal O Regan and Ravi P. Agarwal Academy of Mathematic and Sytem Science, Beijing, China, National

More information

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation IEOR 316: Fall 213, Profeor Whitt Topic for Dicuion: Tueday, November 19 Alternating Renewal Procee and The Renewal Equation 1 Alternating Renewal Procee An alternating renewal proce alternate between

More information

1. Preliminaries. In [8] the following odd looking integral evaluation is obtained.

1. Preliminaries. In [8] the following odd looking integral evaluation is obtained. June, 5. Revied Augut 8th, 5. VA DER POL EXPASIOS OF L-SERIES David Borwein* and Jonathan Borwein Abtract. We provide concie erie repreentation for variou L-erie integral. Different technique are needed

More information

Lecture 7: Testing Distributions

Lecture 7: Testing Distributions CSE 5: Sublinear (and Streaming) Algorithm Spring 014 Lecture 7: Teting Ditribution April 1, 014 Lecturer: Paul Beame Scribe: Paul Beame 1 Teting Uniformity of Ditribution We return today to property teting

More information

On Waring s problem in finite fields

On Waring s problem in finite fields ACTA ARITHMETICA LXXXVII.2 (1998 On Waring problem in finite field by Arne Winterhof (Braunchweig 1. Introduction. Let g( p n be the mallet uch that every element of F p n i a um of th power in F p n.

More information

ON ASYMPTOTIC FORMULA OF THE PARTITION FUNCTION p A (n)

ON ASYMPTOTIC FORMULA OF THE PARTITION FUNCTION p A (n) #A2 INTEGERS 15 (2015) ON ASYMPTOTIC FORMULA OF THE PARTITION FUNCTION p A (n) A David Chritopher Department of Mathematic, The American College, Tamilnadu, India davchrame@yahoocoin M Davamani Chritober

More information

THE HAUSDORFF MEASURE OF SIERPINSKI CARPETS BASING ON REGULAR PENTAGON

THE HAUSDORFF MEASURE OF SIERPINSKI CARPETS BASING ON REGULAR PENTAGON Anal. Theory Appl. Vol. 28, No. (202), 27 37 THE HAUSDORFF MEASURE OF SIERPINSKI CARPETS BASING ON REGULAR PENTAGON Chaoyi Zeng, Dehui Yuan (Hanhan Normal Univerity, China) Shaoyuan Xu (Gannan Normal Univerity,

More information

Multicolor Sunflowers

Multicolor Sunflowers Multicolor Sunflower Dhruv Mubayi Lujia Wang October 19, 2017 Abtract A unflower i a collection of ditinct et uch that the interection of any two of them i the ame a the common interection C of all of

More information

Problem 1. Construct a filtered probability space on which a Brownian motion W and an adapted process X are defined and such that

Problem 1. Construct a filtered probability space on which a Brownian motion W and an adapted process X are defined and such that Stochatic Calculu Example heet 4 - Lent 5 Michael Tehranchi Problem. Contruct a filtered probability pace on which a Brownian motion W and an adapted proce X are defined and uch that dx t = X t t dt +

More information

Primitive Digraphs with the Largest Scrambling Index

Primitive Digraphs with the Largest Scrambling Index Primitive Digraph with the Larget Scrambling Index Mahmud Akelbek, Steve Kirkl 1 Department of Mathematic Statitic, Univerity of Regina, Regina, Sakatchewan, Canada S4S 0A Abtract The crambling index of

More information

List coloring hypergraphs

List coloring hypergraphs Lit coloring hypergraph Penny Haxell Jacque Vertraete Department of Combinatoric and Optimization Univerity of Waterloo Waterloo, Ontario, Canada pehaxell@uwaterloo.ca Department of Mathematic Univerity

More information

CHAPTER 6. Estimation

CHAPTER 6. Estimation CHAPTER 6 Etimation Definition. Statitical inference i the procedure by which we reach a concluion about a population on the bai of information contained in a ample drawn from that population. Definition.

More information

Riemann Zeta Function and Prime Number Distribution

Riemann Zeta Function and Prime Number Distribution Riemann Zeta Function and Prime Number Distribution Mingrui Xu June 2, 24 Contents Introduction 2 2 Definition of zeta function and Functional Equation 2 2. Definition and Euler Product....................

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

Math 273 Solutions to Review Problems for Exam 1

Math 273 Solutions to Review Problems for Exam 1 Math 7 Solution to Review Problem for Exam True or Fale? Circle ONE anwer for each Hint: For effective tudy, explain why if true and give a counterexample if fale (a) T or F : If a b and b c, then a c

More information

On the Function ω(n)

On the Function ω(n) International Mathematical Forum, Vol. 3, 08, no. 3, 07 - HIKARI Ltd, www.m-hikari.com http://doi.org/0.988/imf.08.708 On the Function ω(n Rafael Jakimczuk Diviión Matemática, Univeridad Nacional de Luján

More information

SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU. I will collect my solutions to some of the exercises in this book in this document.

SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU. I will collect my solutions to some of the exercises in this book in this document. SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU CİHAN BAHRAN I will collect my olution to ome of the exercie in thi book in thi document. Section 2.1 1. Let A = k[[t ]] be the ring of

More information

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order Computer and Mathematic with Application 64 (2012) 2262 2274 Content lit available at SciVere ScienceDirect Computer and Mathematic with Application journal homepage: wwweleviercom/locate/camwa Sharp algebraic

More information

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES Sanghyun Cho Abtract. We prove a implified verion of the Nah-Moer implicit function theorem in weighted Banach pace. We relax the

More information

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall Beyond Significance Teting ( nd Edition), Rex B. Kline Suggeted Anwer To Exercie Chapter. The tatitic meaure variability among core at the cae level. In a normal ditribution, about 68% of the core fall

More information

Multi-dimensional Fuzzy Euler Approximation

Multi-dimensional Fuzzy Euler Approximation Mathematica Aeterna, Vol 7, 2017, no 2, 163-176 Multi-dimenional Fuzzy Euler Approximation Yangyang Hao College of Mathematic and Information Science Hebei Univerity, Baoding 071002, China hdhyywa@163com

More information

Flag-transitive non-symmetric 2-designs with (r, λ) = 1 and alternating socle

Flag-transitive non-symmetric 2-designs with (r, λ) = 1 and alternating socle Flag-tranitive non-ymmetric -deign with (r, λ = 1 and alternating ocle Shenglin Zhou, Yajie Wang School of Mathematic South China Univerity of Technology Guangzhou, Guangdong 510640, P. R. China lzhou@cut.edu.cn

More information

Electronic Theses and Dissertations

Electronic Theses and Dissertations Eat Tenneee State Univerity Digital Common @ Eat Tenneee State Univerity Electronic Thee and Diertation Student Work 5-208 Vector Partition Jennifer French Eat Tenneee State Univerity Follow thi and additional

More information

Robustness analysis for the boundary control of the string equation

Robustness analysis for the boundary control of the string equation Routne analyi for the oundary control of the tring equation Martin GUGAT Mario SIGALOTTI and Mariu TUCSNAK I INTRODUCTION AND MAIN RESULTS In thi paper we conider the infinite dimenional ytem determined

More information

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS. Volker Ziegler Technische Universität Graz, Austria

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS. Volker Ziegler Technische Universität Graz, Austria GLASNIK MATEMATIČKI Vol. 1(61)(006), 9 30 ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS Volker Ziegler Techniche Univerität Graz, Autria Abtract. We conider the parameterized Thue

More information

Beta Burr XII OR Five Parameter Beta Lomax Distribution: Remarks and Characterizations

Beta Burr XII OR Five Parameter Beta Lomax Distribution: Remarks and Characterizations Marquette Univerity e-publication@marquette Mathematic, Statitic and Computer Science Faculty Reearch and Publication Mathematic, Statitic and Computer Science, Department of 6-1-2014 Beta Burr XII OR

More information

Unbounded solutions of second order discrete BVPs on infinite intervals

Unbounded solutions of second order discrete BVPs on infinite intervals Available online at www.tjna.com J. Nonlinear Sci. Appl. 9 206), 357 369 Reearch Article Unbounded olution of econd order dicrete BVP on infinite interval Hairong Lian a,, Jingwu Li a, Ravi P Agarwal b

More information

New bounds for Morse clusters

New bounds for Morse clusters New bound for More cluter Tamá Vinkó Advanced Concept Team, European Space Agency, ESTEC Keplerlaan 1, 2201 AZ Noordwijk, The Netherland Tama.Vinko@ea.int and Arnold Neumaier Fakultät für Mathematik, Univerität

More information

arxiv: v1 [math.nt] 18 Jan 2016

arxiv: v1 [math.nt] 18 Jan 2016 A functional relation for L-function of graph equivalent to the Riemann Hypothei for Dirichlet L-function arxiv:60.04573v [math.nt] 8 Jan 206 Fabien Friedli September 9, 208 Abtract In thi note we define

More information

The Riemann Transform

The Riemann Transform The Riemann Tranform By Armando M. Evangelita Jr. armando78973@gmail.com Augut 28, 28 ABSTRACT In hi 859 paper, Bernhard Riemann ued the integral equation f (x ) x dx to develop an explicit formula for

More information

Demonstration of Riemann Hypothesis

Demonstration of Riemann Hypothesis Demontration of Riemann Hypothei Diego arin June 2, 204 Abtract We define an infinite ummation which i proportional to the revere of Riemann Zeta function ζ(). Then we demontrate that uch function can

More information

The zeros of the derivative of the Riemann zeta function near the critical line

The zeros of the derivative of the Riemann zeta function near the critical line arxiv:math/07076v [mathnt] 5 Jan 007 The zeros of the derivative of the Riemann zeta function near the critical line Haseo Ki Department of Mathematics, Yonsei University, Seoul 0 749, Korea haseoyonseiackr

More information

A PROOF OF TWO CONJECTURES RELATED TO THE ERDÖS-DEBRUNNER INEQUALITY

A PROOF OF TWO CONJECTURES RELATED TO THE ERDÖS-DEBRUNNER INEQUALITY Volume 8 2007, Iue 3, Article 68, 3 pp. A PROOF OF TWO CONJECTURES RELATED TO THE ERDÖS-DEBRUNNER INEQUALITY C. L. FRENZEN, E. J. IONASCU, AND P. STĂNICĂ DEPARTMENT OF APPLIED MATHEMATICS NAVAL POSTGRADUATE

More information

Manprit Kaur and Arun Kumar

Manprit Kaur and Arun Kumar CUBIC X-SPLINE INTERPOLATORY FUNCTIONS Manprit Kaur and Arun Kumar manpreet2410@gmail.com, arun04@rediffmail.com Department of Mathematic and Computer Science, R. D. Univerity, Jabalpur, INDIA. Abtract:

More information

arxiv: v1 [math.ca] 23 Sep 2017

arxiv: v1 [math.ca] 23 Sep 2017 arxiv:709.08048v [math.ca] 3 Sep 07 On the unit ditance problem A. Ioevich Abtract. The Erdő unit ditance conjecture in the plane ay that the number of pair of point from a point et of ize n eparated by

More information

arxiv: v1 [math.ac] 30 Nov 2012

arxiv: v1 [math.ac] 30 Nov 2012 ON MODULAR INVARIANTS OF A VECTOR AND A COVECTOR YIN CHEN arxiv:73v [mathac 3 Nov Abtract Let S L (F q be the pecial linear group over a finite field F q, V be the -dimenional natural repreentation of

More information

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems A Contraint Propagation Algorithm for Determining the Stability Margin of Linear Parameter Circuit and Sytem Lubomir Kolev and Simona Filipova-Petrakieva Abtract The paper addree the tability margin aement

More information

Notes on the geometry of curves, Math 210 John Wood

Notes on the geometry of curves, Math 210 John Wood Baic definition Note on the geometry of curve, Math 0 John Wood Let f(t be a vector-valued function of a calar We indicate thi by writing f : R R 3 and think of f(t a the poition in pace of a particle

More information

arxiv:math/ v4 [math.ag] 1 Aug 2007

arxiv:math/ v4 [math.ag] 1 Aug 2007 arxiv:math/0603259v4 [math.ag] 1 Aug 2007 CONNECTIONS ON MODULES OVER QUASI-HOMOGENEOUS PLANE CURVES EIVIND ERIKSEN Abtract. Let k be an algebraically cloed field of characteritic 0, and let A = k[x,y]/(f)

More information

1. The F-test for Equality of Two Variances

1. The F-test for Equality of Two Variances . The F-tet for Equality of Two Variance Previouly we've learned how to tet whether two population mean are equal, uing data from two independent ample. We can alo tet whether two population variance are

More information

LINEAR ALGEBRA METHOD IN COMBINATORICS. Theorem 1.1 (Oddtown theorem). In a town of n citizens, no more than n clubs can be formed under the rules

LINEAR ALGEBRA METHOD IN COMBINATORICS. Theorem 1.1 (Oddtown theorem). In a town of n citizens, no more than n clubs can be formed under the rules LINEAR ALGEBRA METHOD IN COMBINATORICS 1 Warming-up example Theorem 11 (Oddtown theorem) In a town of n citizen, no more tha club can be formed under the rule each club have an odd number of member each

More information

Some Sets of GCF ϵ Expansions Whose Parameter ϵ Fetch the Marginal Value

Some Sets of GCF ϵ Expansions Whose Parameter ϵ Fetch the Marginal Value Journal of Mathematical Reearch with Application May, 205, Vol 35, No 3, pp 256 262 DOI:03770/jin:2095-26520503002 Http://jmredluteducn Some Set of GCF ϵ Expanion Whoe Parameter ϵ Fetch the Marginal Value

More information

FOURIER SERIES AND PERIODIC SOLUTIONS OF DIFFERENTIAL EQUATIONS

FOURIER SERIES AND PERIODIC SOLUTIONS OF DIFFERENTIAL EQUATIONS FOURIER SERIES AND PERIODIC SOLUTIONS OF DIFFERENTIAL EQUATIONS Nguyen Thanh Lan Department of Mathematic Wetern Kentucky Univerity Email: lan.nguyen@wku.edu ABSTRACT: We ue Fourier erie to find a neceary

More information

Problem Set 8 Solutions

Problem Set 8 Solutions Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem

More information

MULTIPLE POSITIVE SOLUTIONS OF BOUNDARY VALUE PROBLEMS FOR P-LAPLACIAN IMPULSIVE DYNAMIC EQUATIONS ON TIME SCALES

MULTIPLE POSITIVE SOLUTIONS OF BOUNDARY VALUE PROBLEMS FOR P-LAPLACIAN IMPULSIVE DYNAMIC EQUATIONS ON TIME SCALES Fixed Point Theory, 5(24, No. 2, 475-486 http://www.math.ubbcluj.ro/ nodeacj/fptcj.html MULTIPLE POSITIVE SOLUTIONS OF BOUNDARY VALUE PROBLEMS FOR P-LAPLACIAN IMPULSIVE DYNAMIC EQUATIONS ON TIME SCALES

More information

Chapter 1. Introduction to prime number theory. 1.1 The Prime Number Theorem

Chapter 1. Introduction to prime number theory. 1.1 The Prime Number Theorem Chapter 1 Introduction to prime number theory 1.1 The Prime Number Theorem In the first part of this course, we focus on the theory of prime numbers. We use the following notation: we write f( g( as if

More information

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations International Scholarly Reearch Network ISRN Mathematical Analyi Volume 20, Article ID 85203, 9 page doi:0.502/20/85203 Reearch Article Exitence for Nonocillatory Solution of Higher-Order Nonlinear Differential

More information

An Inequality for Nonnegative Matrices and the Inverse Eigenvalue Problem

An Inequality for Nonnegative Matrices and the Inverse Eigenvalue Problem An Inequality for Nonnegative Matrice and the Invere Eigenvalue Problem Robert Ream Program in Mathematical Science The Univerity of Texa at Dalla Box 83688, Richardon, Texa 7583-688 Abtract We preent

More information

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS VOLKER ZIEGLER Abtract We conider the parameterized Thue equation X X 3 Y (ab + (a + bx Y abxy 3 + a b Y = ±1, where a, b 1 Z uch that

More information

6 Global definition of Riemann Zeta, and generalization of related coefficients. p + p >1 (1.1)

6 Global definition of Riemann Zeta, and generalization of related coefficients. p + p >1 (1.1) 6 Global definition of Riemann Zeta, and generalization of related coefficient 6. Patchy definition of Riemann Zeta Let' review the definition of Riemann Zeta. 6.. The definition by Euler The very beginning

More information

Math 229: Introduction to Analytic Number Theory The product formula for ξ(s) and ζ(s); vertical distribution of zeros

Math 229: Introduction to Analytic Number Theory The product formula for ξ(s) and ζ(s); vertical distribution of zeros Math 9: Introduction to Analytic Number Theory The product formula for ξs) and ζs); vertical distribution of zeros Behavior on vertical lines. We next show that s s)ξs) is an entire function of order ;

More information

THE DIVERGENCE-FREE JACOBIAN CONJECTURE IN DIMENSION TWO

THE DIVERGENCE-FREE JACOBIAN CONJECTURE IN DIMENSION TWO THE DIVERGENCE-FREE JACOBIAN CONJECTURE IN DIMENSION TWO J. W. NEUBERGER Abtract. A pecial cae, called the divergence-free cae, of the Jacobian Conjecture in dimenion two i proved. Thi note outline an

More information

Unavoidable Cycles in Polynomial-Based Time-Invariant LDPC Convolutional Codes

Unavoidable Cycles in Polynomial-Based Time-Invariant LDPC Convolutional Codes European Wirele, April 7-9,, Vienna, Autria ISBN 978--87-4-9 VE VERLAG GMBH Unavoidable Cycle in Polynomial-Baed Time-Invariant LPC Convolutional Code Hua Zhou and Norbert Goertz Intitute of Telecommunication

More information

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang

More information

Codes Correcting Two Deletions

Codes Correcting Two Deletions 1 Code Correcting Two Deletion Ryan Gabry and Frederic Sala Spawar Sytem Center Univerity of California, Lo Angele ryan.gabry@navy.mil fredala@ucla.edu Abtract In thi work, we invetigate the problem of

More information

One Class of Splitting Iterative Schemes

One Class of Splitting Iterative Schemes One Cla of Splitting Iterative Scheme v Ciegi and V. Pakalnytė Vilniu Gedimina Technical Univerity Saulėtekio al. 11, 2054, Vilniu, Lithuania rc@fm.vtu.lt Abtract. Thi paper deal with the tability analyi

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

More information

SOME MONOTONICITY PROPERTIES AND INEQUALITIES FOR

SOME MONOTONICITY PROPERTIES AND INEQUALITIES FOR Kragujevac Journal of Mathematic Volume 4 08 Page 87 97. SOME MONOTONICITY PROPERTIES AND INEQUALITIES FOR THE p k-gamma FUNCTION KWARA NANTOMAH FATON MEROVCI AND SULEMAN NASIRU 3 Abtract. In thi paper

More information

An Approach Towards the Proof of the Strong Goldbach s Conjecture for Sufficiently Large Even Integers

An Approach Towards the Proof of the Strong Goldbach s Conjecture for Sufficiently Large Even Integers arxiv:605.08938v [math.gm] 4 Nov 07 An Approach oward the Proof of the Strong Goldbach Conjecture for Sufficiently Large Even Integer Ahmad Sabihi eaching profeor and reearcher at ome univeritie of Iran

More information

STOCHASTIC EVOLUTION EQUATIONS WITH RANDOM GENERATORS. By Jorge A. León 1 and David Nualart 2 CINVESTAV-IPN and Universitat de Barcelona

STOCHASTIC EVOLUTION EQUATIONS WITH RANDOM GENERATORS. By Jorge A. León 1 and David Nualart 2 CINVESTAV-IPN and Universitat de Barcelona The Annal of Probability 1998, Vol. 6, No. 1, 149 186 STOCASTIC EVOLUTION EQUATIONS WIT RANDOM GENERATORS By Jorge A. León 1 and David Nualart CINVESTAV-IPN and Univeritat de Barcelona We prove the exitence

More information

Preemptive scheduling on a small number of hierarchical machines

Preemptive scheduling on a small number of hierarchical machines Available online at www.ciencedirect.com Information and Computation 06 (008) 60 619 www.elevier.com/locate/ic Preemptive cheduling on a mall number of hierarchical machine György Dóa a, Leah Eptein b,

More information

POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR WEAK SOLUTIONS OF PARABOLIC EQUATIONS

POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR WEAK SOLUTIONS OF PARABOLIC EQUATIONS Electronic Journal of Differential Equation, Vol. 206 (206), No. 204, pp. 8. ISSN: 072-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR

More information

Social Studies 201 Notes for March 18, 2005

Social Studies 201 Notes for March 18, 2005 1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

6. KALMAN-BUCY FILTER

6. KALMAN-BUCY FILTER 6. KALMAN-BUCY FILTER 6.1. Motivation and preliminary. A wa hown in Lecture 2, the optimal control i a function of all coordinate of controlled proce. Very often, it i not impoible to oberve a controlled

More information

Social Studies 201 Notes for November 14, 2003

Social Studies 201 Notes for November 14, 2003 1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

Stochastic Optimization with Inequality Constraints Using Simultaneous Perturbations and Penalty Functions

Stochastic Optimization with Inequality Constraints Using Simultaneous Perturbations and Penalty Functions Stochatic Optimization with Inequality Contraint Uing Simultaneou Perturbation and Penalty Function I-Jeng Wang* and Jame C. Spall** The John Hopkin Univerity Applied Phyic Laboratory 11100 John Hopkin

More information

An introduction to the Riemann hypothesis

An introduction to the Riemann hypothesis An introduction to the Riemann hypothei Author: Alexander Bielik abielik@kth.e Supervior: Pär Kurlberg SA4X Degree Project in Engineering Phyic Royal Intitute of Technology KTH Department of Mathematic

More information

Semilinear obstacle problem with measure data and generalized reflected BSDE

Semilinear obstacle problem with measure data and generalized reflected BSDE Semilinear obtacle problem with meaure data and generalized reflected BSDE Andrzej Rozkoz (joint work with T. Klimiak) Nicolau Copernicu Univerity (Toruń, Poland) 6th International Conference on Stochatic

More information

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES DOUGLAS R. ANDERSON Abtract. We are concerned with the repreentation of polynomial for nabla dynamic equation on time cale. Once etablihed,

More information

Comparing Means: t-tests for Two Independent Samples

Comparing Means: t-tests for Two Independent Samples Comparing ean: t-tet for Two Independent Sample Independent-eaure Deign t-tet for Two Independent Sample Allow reearcher to evaluate the mean difference between two population uing data from two eparate

More information

Twin primes (seem to be) more random than primes

Twin primes (seem to be) more random than primes Twin primes (seem to be) more random than primes Richard P. Brent Australian National University and University of Newcastle 25 October 2014 Primes and twin primes Abstract Cramér s probabilistic model

More information

Long-term returns in stochastic interest rate models

Long-term returns in stochastic interest rate models Long-term return in tochatic interet rate model G. Deeltra F. Delbaen Vrije Univeriteit Bruel Departement Wikunde Abtract In thi paper, we oberve the convergence of the long-term return, uing an extenion

More information

Convex Hulls of Curves Sam Burton

Convex Hulls of Curves Sam Burton Convex Hull of Curve Sam Burton 1 Introduction Thi paper will primarily be concerned with determining the face of convex hull of curve of the form C = {(t, t a, t b ) t [ 1, 1]}, a < b N in R 3. We hall

More information

Clustering Methods without Given Number of Clusters

Clustering Methods without Given Number of Clusters Clutering Method without Given Number of Cluter Peng Xu, Fei Liu Introduction A we now, mean method i a very effective algorithm of clutering. It mot powerful feature i the calability and implicity. However,

More information

Appendix. Proof of relation (3) for α 0.05.

Appendix. Proof of relation (3) for α 0.05. Appendi. Proof of relation 3 for α.5. For the argument, we will need the following reult that follow from Lemma 1 Bakirov 1989 and it proof. Lemma 1 Let g,, 1 be a continuouly differentiable function uch

More information

Lecture 9: Shor s Algorithm

Lecture 9: Shor s Algorithm Quantum Computation (CMU 8-859BB, Fall 05) Lecture 9: Shor Algorithm October 7, 05 Lecturer: Ryan O Donnell Scribe: Sidhanth Mohanty Overview Let u recall the period finding problem that wa et up a a function

More information

Weighted Tribonacci sums

Weighted Tribonacci sums Weighted Tribonacci um Kunle Adegoke arxiv:1804.06449v1 [math.ca] 16 Apr 018 Department of Phyic Engineering Phyic, Obafemi Awolowo Univerity, 0005 Ile-Ife, Nigeria Abtract We derive variou weighted ummation

More information

Uniform Distribution of Zeros of Dirichlet Series

Uniform Distribution of Zeros of Dirichlet Series Uniform Distribution of Zeros of Dirichlet Series Amir Akbary and M. Ram Murty Abstract We consider a class of Dirichlet series which is more general than the Selberg class. Dirichlet series in this class,

More information

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty IOSR Journal of Electrical and Electronic Engineering (IOSR-JEEE) ISSN: 78-676Volume, Iue 6 (Nov. - Dec. 0), PP 4-0 Simple Oberver Baed Synchronization of Lorenz Sytem with Parametric Uncertainty Manih

More information

Embedding large graphs into a random graph

Embedding large graphs into a random graph Embedding large graph into a random graph Aaf Ferber Kyle Luh Oanh Nguyen June 14, 016 Abtract In thi paper we conider the problem of embedding bounded degree graph which are almot panning in a random

More information

AN EXAMPLE FOR THE GENERALIZATION OF THE INTEGRATION OF SPECIAL FUNCTIONS BY USING THE LAPLACE TRANSFORM

AN EXAMPLE FOR THE GENERALIZATION OF THE INTEGRATION OF SPECIAL FUNCTIONS BY USING THE LAPLACE TRANSFORM Journal of Inequalitie Special Function ISSN: 7-433, URL: http://www.iliria.com Volume 6 Iue 5, Page 5-3. AN EXAMPLE FOR THE GENERALIZATION OF THE INTEGRATION OF SPECIAL FUNCTIONS BY USING THE LAPLACE

More information

arxiv: v1 [math.mg] 25 Aug 2011

arxiv: v1 [math.mg] 25 Aug 2011 ABSORBING ANGLES, STEINER MINIMAL TREES, AND ANTIPODALITY HORST MARTINI, KONRAD J. SWANEPOEL, AND P. OLOFF DE WET arxiv:08.5046v [math.mg] 25 Aug 20 Abtract. We give a new proof that a tar {op i : i =,...,

More information

Uniform Distribution of Zeros of Dirichlet Series

Uniform Distribution of Zeros of Dirichlet Series Uniform Distribution of Zeros of Dirichlet Series Amir Akbary and M. Ram Murty Abstract We consider a class of Dirichlet series which is more general than the Selberg class. Dirichlet series in this class,

More information

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 REVISTA DE LA UNIÓN MATEMÁTICA ARGENTINA Vol. 57, No. 1, 2016, Page 71 83 Publihed online: March 3, 2016 NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 JINHUA QIAN AND YOUNG HO KIM Abtract. We tudy

More information

List Coloring Graphs

List Coloring Graphs Lit Coloring Graph February 6, 004 LIST COLORINGS AND CHOICE NUMBER Thomaen Long Grotzch girth 5 verion Thomaen Long Let G be a connected planar graph of girth at leat 5. Let A be a et of vertice in G

More information

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas)

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas) Lecture 7: Analytic Function and Integral (See Chapter 4 in Boa) Thi i a good point to take a brief detour and expand on our previou dicuion of complex variable and complex function of complex variable.

More information

A Note on the Sum of Correlated Gamma Random Variables

A Note on the Sum of Correlated Gamma Random Variables 1 A Note on the Sum of Correlated Gamma Random Variable Joé F Pari Abtract arxiv:11030505v1 [cit] 2 Mar 2011 The um of correlated gamma random variable appear in the analyi of many wirele communication

More information

Lecture 4 Topic 3: General linear models (GLMs), the fundamentals of the analysis of variance (ANOVA), and completely randomized designs (CRDs)

Lecture 4 Topic 3: General linear models (GLMs), the fundamentals of the analysis of variance (ANOVA), and completely randomized designs (CRDs) Lecture 4 Topic 3: General linear model (GLM), the fundamental of the analyi of variance (ANOVA), and completely randomized deign (CRD) The general linear model One population: An obervation i explained

More information

Simultaneous Distribution of the Fractional Parts of Riemann Zeta Zeros

Simultaneous Distribution of the Fractional Parts of Riemann Zeta Zeros Simultaneous Distribution of the Fractional Parts of Riemann Zeta Zeros Kevin Ford, Xianchang Meng, and Alexandru Zaharescu arxiv:1511.06814v2 [math.n] 1 Sep 2016 Abstract In this paper, we investigate

More information

COHOMOLOGY AS A LOCAL-TO-GLOBAL BRIDGE

COHOMOLOGY AS A LOCAL-TO-GLOBAL BRIDGE COHOMOLOGY AS A LOCAL-TO-GLOBAL BRIDGE LIVIU I. NICOLAESCU ABSTRACT. I dicu low dimenional incarnation of cohomology and illutrate how baic cohomological principle lead to a proof of Sperner lemma. CONTENTS.

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,

More information

(3) A bilinear map B : S(R n ) S(R m ) B is continuous (for the product topology) if and only if there exist C, N and M such that

(3) A bilinear map B : S(R n ) S(R m ) B is continuous (for the product topology) if and only if there exist C, N and M such that The material here can be found in Hörmander Volume 1, Chapter VII but he ha already done almot all of ditribution theory by thi point(!) Johi and Friedlander Chapter 8. Recall that S( ) i a complete metric

More information

Jan Purczyński, Kamila Bednarz-Okrzyńska Estimation of the shape parameter of GED distribution for a small sample size

Jan Purczyński, Kamila Bednarz-Okrzyńska Estimation of the shape parameter of GED distribution for a small sample size Jan Purczyńki, Kamila Bednarz-Okrzyńka Etimation of the hape parameter of GED ditribution for a mall ample ize Folia Oeconomica Stetinenia 4()/, 35-46 04 Folia Oeconomica Stetinenia DOI: 0.478/foli-04-003

More information