Katholieke Universiteit Leuven Department of Computer Science

Size: px
Start display at page:

Download "Katholieke Universiteit Leuven Department of Computer Science"

Transcription

1 Regarding the absolute stability of Störer-Cowell ethods Syvert P. Nørsett Andreas Ashei Report TW 601, October 2011 Katholieke Universiteit Leuven Departent of Coputer Science Celestijnenlaan 200A B-3001 Heverlee (Belgiu)

2 Regarding the absolute stability of Störer-Cowell ethods Syvert P. Nørsett Andreas Ashei Report TW 601, October 2011 Departent of Coputer Science, K.U.Leuven Abstract Störer-Cowell ethods, a popular class of ethods for coputations in celestial echanics, is known to exhibit orbital instabilities when the order of the ethods exceed two. Analysing the absolute stability of Störer-Cowell ethods close to zero we present a characterization of these instabilities for ethods of all orders. Keywords : ultistep ethods for second order probles, Störer-Cowell ethods, absolute stability. MSC : Priary : 65L06, Secondary : 65L20, 70M20.

3 Regarding the absolute stability of Störer-Cowell ethods Andreas Ashei, Syvert P. Nørsett Departeent Coputerwetenschappen, K.U. Leuven, Belgiu Institutt for Mateatiske Fag, NTNU, Trondhei, Norway Eail: October 3, 2011 Abstract Störer-Cowell ethods, a popular class of ethods for coputations in celestial echanics, is known to exhibit orbital instabilities when the order of the ethods exceed two. Analysing the absolute stability of Störer-Cowell ethods close to zero we present a characterization of these instabilities for ethods of all orders. 1 Introduction Many echanical probles in physics are expressed as second order differential equations of the for, y = f(x, y), y(x 0 ) = y 0, y (x 0 ) = y 1,0. (1) Nuerical algoriths for such equations are arguably as old as echanics itself: Isaac Newton was the inventor of what we today call the Störer- Verlet schee[5], one of the ost popular schees for echanical probles. Carl Störer, eponyous to the Störer-Verlet ethod, published his ethods aied at coputing orbits of charged particles in Earth s agnetic field(aurora borealis) as early as in Störer s ethods is a class of ultistep ethods containing the Verlet ethod as a siplest case. A related class of ethods is Cowell s ethods, dating back to These two classes of ethods, Störer s and Cowell s or predictor-corrector pair of these, are still very popular in nuerical astronoy. Störer ethods of order 13 and 14 aied at high precision calculations appear in recent research publications like [11, 4], and are ipleented in several progra packages like the popular NBI-package fro the UCLA astronoy group[15]. Granted, these ethods are generally not energy or syplecticity preserving, and they thus fall outside the ore recent field of geoetric nuerical integration wherein we find ethods that are thought to be ore appropriate for echanical probles. There are however still good reasons to consider non-geoetric integrators. In particular if the ai of the coputation is very high precision where the right qualitative behaviour coes Supported by the Norwegian Research Council s Espedahl Stipend 1

4 iplicitly with the high precision. In recent works involving high precision coputations have traditional ethods like e.g. Störer s ethods been central (see for exaple investigations on the stability of the outer solar syste [7] and [1]). High order ethods with tiny step sizes are used for such coputations. However, stability and round-off probles for sall step sizes ust be carefully analysed and treated in in order for these high precision coputations to be truly high precision[15]. The ethods are known as prone to rounding errors probles when running with sall step sizes. This is described, aong other places, in Wanner, Hairer & Nørsett s book[6], where a stabilisation of the schee is also proposed. In this work we shall address the question of stability of Störer-Cowell ethods for sall step sizes. A basic result here is Dahlquist s classical result fro 1976 which bars unconditionally stable ethods of order exceeding two[2]. The ethods are easily proved to be zero-stable. However, when considering the absolute stability, as defined by Labert[9] we shall see that they are not necessarily stable at any point close to zero. This is strongly related to a well known property of Störer-Cowell ethods, naely that they suffer fro what is called orbital instabilities when the order of the ethod exceeds two; whenever integrating a circular orbit the nuerical solution will either spiral inwards or outwards. This has been the background for the developent of syetric ultistep ethods[10, 13] and ethods that integrate trigonoetric polynoials exactly[3]. Here we will go back to a ore thorough analysis of the stability of the Störer- Cowell ethods and characterize exactly which ethods are absolutely stable and unstable for sall step sizes. We shall also see exaples ethods that are unstable for sall step sizes, but exhibit stable regions away fro zero. Stabilisation schees will not be discussed in this work. Let us end this introduction with a few words about the history and tiing of the this work. This paper is naely based on a aster thesis by Even Thorbergsen fro 1976[14] and an unfinished note by Nørsett fro the year after. The note was however put in a drawer and forgotten. Recently, while cleaning his office in preparation for his retireent Nørsett found the note, and in discussions with his forer PhD student Ashei it was concluded that the note could, in a reworked and finished for, be of interest to the nuerical analysis and celestial echanics counity. 2 Multistep ethods for second order probles We start by reviewing soe relevant facts regarding ultistep ethods for second order probles. Full expositions of the following theory are given in books by Henrici[8], Labert[9] and Wanner, Hairer & Nørsett[6]. We are considering second order initial value probles of the for (1). Multistep ethods for such probles are of the general for, α j y n+j = h 2 Defining the linear difference operator L[y(x); h] = β j f n+j. (2) [ αj y(x jh) h 2 β j y (x + jh) ], 2

5 we say, using the notation of Henrici[8], that the ethod has order p if its expansion in h around zero is of the for L[y(x); h] = C p+2 h p+2 y (p+2) (x) + C p+3 h p+3 y (p+3) (x) +..., (3) for any sufficiently sooth y(x). We say that the ethod is consistent if it has order at least one. Defining the generating polynoials, ρ(ζ) = this is equivalent with, α j ζ j, σ(ζ) = β ζ j, (4) ρ(1) = ρ (1) = 0, ρ (1) = 2σ(1). (5) Central to this work is two concepts of stability, both which are stated by Labert[9]. Definition 1. We say that the ethod (2) is zero stable if all roots of ρ(ζ) are contained in the unit disk, and those roots that are located on the unit circle are of ultiplicity at ost two. Definition 2. The ethod (2) is called absolutely stable for a given q C if and only if all the roots of the stability polynoial ϕ(ζ) := ρ(ζ) + q 2 σ(ζ), are contained in the unit disc. Otherwise we call the ethod absolutely unstable for this q. 2.1 Störer-Cowell ethods We shall consider ultistep ethods of the for y n+k 2y n+k 1 + y n+k 2 = h 2 β j f n+j. (6) These ethods are usually referred to as Störer-Cowell ethods. One way to arrive at such ethods arise when adding the Taylor series for y(x n + h) and y(x n h), y n+1 2y n + y n 1 = h 2 y (x, y n ) + h4 12 y(4) (x, y n ) + h6 360 y(6) (x, y n ) +... Störer s ethods are obtained by in this case replacing derivatives of y(x, y n ) with backward differences. Truncating and eliinating higher order ters generates ethods of arbitrary order. We define the generating polynoials for these ethods, ρ(ζ) = ζ k 2ζ k 1 + ζ k 2, σ(ζ) = Adapting the notation fro [8] we denote by y n+1 2y n + y n 1 = h 2 3 β j ζ j. (7) σ j j f n, (8)

6 j σ j σ j j σ j σ j Table 1: Coefficients for Störer s (σ) and Cowell s (σ ) ethods. the k-step Störer ethod of order k + 1. is the backwards difference operator: z n = z n z n 1. Likewise we have the k-step iplicit Cowellethod of order k + 1, y n+1 2y n + y n 1 = h 2 σj j f n+1. (9) Translating into ordinate for (6) is achieved by applying the forula ( ) f j = ( 1) l f j l. l l=0 Coefficients of these ethods are obtained in a ore straightforward way than the above described expansion by interpolation on the right hand side f(x, y), for Störer s ethods yielding 1 σ = ( 1) (1 s) 0 1 [( s ) + and for Cowell s ethods, 0 [( ) s σ = ( 1) ( s) + ( )] s ds, (10) ( s + 2 )] ds. (11) Nuerical values of coefficients are ost conveniently coputed by recursion forulas[8]. Table 1 gives values up to k = Soe properties of Störer-Cowell ethods For the following stability analysis we will need soe results regarding the ethods. The following proposition essentially states that the coefficients of Störer s ethods are positive and decreasing, negative and increasing for Cowell s ethods. Proposition 1. The coefficients of Störer s ethod (10) satisfy with equality only for = 1, and σ 0, 1, σ +1 σ, 2, with equality only for = 2. The coefficients of Cowell s ethod (11) satisfy σ +1 0, 3, 4

7 with equality only for = 3, and with equality only for = 4. σ +1 σ, 4, Proof. We shall only do the proof for the case of Störer s ethods. The proof for Cowell s ethod is copletely analogous. Since this proof is based on anipulation of binoial coefficients we will refer to the following identities[12], ( ) ( ) t t t + 1 =, (12) 1 ( ) ( ) t t 1 = ( 1). (13) The positivity of the coefficients is showed using identity (13) on equation (10), σ = 1 0 [( ) ( )] s 1 + s 1 (1 s) + ds. Furtherore, using the identity (12) gives σ = (1 s)s [( ) + s 1 1 ( s 1 1 Now defining the function F (s) = ( ) +s 1 1 we have, ( ) ( ) + s 1 s 1 = F (s) F ( s) = 1 1 Perforing the differentiation we get, F (s) = F (s) (ψ( + s) ψ(1 + s)), s s )] ds. (14) Ψ (s)ds. where ψ(t) is the digaa function. Using that ψ(t) is onotonously increasing ( for t > 0 and F (s) > 0 for s > 1 and > 1 we see that +s 1 ) ( 1 s 1 ) 1 is positive, which iplies that σ > 0 as > 1. By inspection it is verified that σ 1 = 0, proving the first part of the proposition. Using equation (14) we get for the difference of two consecutive coefficients σ σ +1 = 1 0 (1 s)s (F (s) F ( s)) ds, with F (s) = 1 ( ) + s 1 ( ) + s 1 = s 1 ( ) + s ( + 1) 1 where the last equality follows fro the recursion ( ) ( t = t 1 ) ( 1 + t 1 ) and identity (12). Applying the identity once ore yields, F (s) = s 2 1 ( + 1)( 1) ˆF (s), 5

8 with such that σ σ +1 = 1 0 ( ) + s 1 ˆF (s) =, 2 (1 s)s(s 2 1) ( ) ˆF (s) ˆF ( s) ds. (15) ( + 1)( 1) Again we have ˆF (s) ˆF ( s) = s s ˆF (s)ds. Perforing the differentiation yields ˆF (s) = ˆF (s) (ψ( + s) ψ(s + 2)). Fro this we see that ˆF (s) ˆF ( s) > 0 for > 2. Together with equation (15), σ > σ +1, for > 2. By inspection it is verified that σ 3 = σ 2, proving the second part of the proposition. Secondly we need soe properties of Störer s and Cowell s ethods related to the order constants (3). Proposition 2. The error of a Störer ethod of order p 2 has an expansion of the for (3) where C p+2 = σ p C p+3 = p 2 2 σ p + σ p+1. Likewise, for the Cowell ethod of order p 4, C p+2 = σ p C p+3 = p 2 σ p + σ p+1. Proof. The for of the error and the expression for C p+2 is shown in [8]. Let us repeat the arguent here: Applying the order k+1 Störer ethod (8) to y(x) = x k+3, the error of the ethod ust necessarily be, since the order k + 2 ethod is exact for polynoials of degree k + 3, y n+1 2y n + y n 1 h 2 σ j j y = h 2 σ k+1 k+1 y = h k+3 (k + 3)!σ k+1. For the last equality we have used that x = h!. Now coparing with (3) yields the result. In order to find C p+3 we will need the identity x +1 = h ( + 1)! (x ) 2 h, (16) which is deonstrated by e.g. an induction arguent on Leibnitz rule for finite differences. Now the procedure is the sae as above. Applying the 6

9 ethod (8) to y(x) = x k+4, the error is, since the order k + 3 ethod is exact for polynoials of degree k + 4, y n+1 2y n + y n 1 h 2 σ j j y =h 2 σ k+1 k+1 y + h 2 σ k+2 k+2 y ( =h k+3 (k + 4)!σ k+1 x + k 1 ) h 2 + h k+4 (k + 4)!σ k+2. Collecting the coefficient of h k+3 and coparing with (3) gives C p+3 = σ k+2 + σ k+1 k 1 2 = p 2 2 σ p+1 + σ p. Repeating these steps in a straightforward anner yields the stated result for Cowell s ethods. 3 Absolute stability as h 0 of Störer s and Cowell s ethods In this section we shall discuss the stability of the Störer and Cowell ethods in detail. Regarding zero stability, as defined in Definition 1, it is easily seen that all Störer-Cowell ethods satisfy this criterion with a double root at 1 and all other roots at the origin. Note that the double root at 1 is necessary for consistency. We shall see in the following that under sall perturbations of q around 0 the double root of ρ(z) will possibly split up into two roots, and the absolute stability of the ethods now depend on whether these roots reain within the unit disk or not. Before discussing the absolute stability of the ethods, we shall need soe ore background on the notion of absolute stability defined in Definition 2. Considering the test equation y = λy, (17) with solutions of the for y(x) = C 1 e iλx + C 2 e iλx, we see that solutions are bounded for real λ. Applying the ethod (2) to this equation, using an ansatz of the for y(x 0 + nh) y n = ζ n leads to the characteristic equation ϕ(ζ) = ρ(ζ) q 2 σ(ζ) = 0, q = (λh) 2. (18) Clearly, a root of agnitude larger than one will lead to a possibly unbounded nuerical solution. This lies behind the definition of absolute stability in Definition 2. We will in the following analysis refer both to the test equation and characteristic equation to arrive at the result. In order to investigate the absolute stability of our ethods near zero we clearly have to focus our attention on the double root of the characteristic equation at q = 0 and deterine how it oves with growing q. Therefore we write ϕ(r(q)) = 0, r(0) = 1, and investigate the absolute value of r(q) for sall values of q. Now write r(q) = e iq + g(q), 7

10 where we note that li q 0 g(q) = 0. equation (18) and expanding gives Inserting into the characteristic ρ(e iq )+g(q)ρ (q iq )+O(g 2 )+q 2 σ(e iq )+g(q)q 2 σ (e iq )+O(q 2 g 2 ) = 0. (19) In the following we have to work with this equation for odd and even orders separately. 3.1 Odd orders Assuing the ethod is of order p = with 1, the there holds, using (3) with solutions of (17) ρ(e iq ) + q 2 σ(e iq ) = C p+2 h p+2 (iλ) p+2 + C p+3 h p+3 (iλ) p+3 + O(q p+4 ) Inserting into (19) gives = i( 1) +1 C p+2 q p+2 + ( 1) C p+3 q p+3 + O(q p+4 ). [ ρ (e iq ) + q 2 σ (e iq ) ] g(q) + O(g 2 )(1 + q 2 ) = ( 1) +1 C p+3 q p+3 + i( 1) C p+2 q p+2 + O(q p+4 ). (20) Coparing orders of q gives that g(q) = O(q p+2 ). Using the consistency of the ethod we get that, Likewise, ρ (e iq ) = ρ (1)qi 1 2 (ρ (1) + ρ (1))q 2 + O(q 3 ). (21) σ (e iq ) = σ (1)qi + Therefore we get [σ (1) 12 (σ (1) + σ (1))q 2 ] + O(q 3 ). (22) ρ (e iq ) + q 2 σ (e iq ) = a 0 q 2 + a 1 qi + O(q 3 ), (23) where a 0 = 1 2 (ρ (1) + ρ (1)) + σ (1), a 1 = ρ (1). (24) Now isolate the real and iaginary parts of g(q), g(q) = g 0 (q) + ig 1 (q), substitute into (20), and isolate real and iaginary parts of the equation(noting that C p+2 and C p+3 are real by Proposition 1), a 0 g 0 (q)q 2 a 1 g 1 (q)q = ( 1) +1 C p+3 q p+3 + O(q p+4 ), (25) a 1 g 0 (q)q + a 0 q 1 (q)q 2 = ( 1) C p+2 q p+2 + O(q p+3 ). Again coparing orders of q shows that g 0 (q) = O(q p+1 ) and g 1 (q) = O(q p+2 ). Eliinating higher order ters and solving for g 0 (q) gives, g 0 (q) = ( 1) C p+2 ρ (1) qp+1 + O(q p+2 ). (26) Now we are in position to investigate the size of r(q) under sall perturbations, r(q) = 1 + g(q) 2 + 2R[e iq g(q)] = 1 + 2g 0 (q) + O(q p+2 ). 8

11 The final step is valid since, R[e iq g(q)] = R[(1 iq +...)g(q)] = g 0 (q) g 1 (q)q + O(gq 2 ), and g 1 (q) = O(q p+2 ). The absolute stability of the ethod for sall q can thus be characterized in ters of the sign of the function A o (p, q), A o (, ρ) = 2 ( 1) C 2+3 ρ. (27) (1) This will be ade explicit in Theore 1. This theore also includes the case of even orders, which will be investigated in the following. 3.2 Even orders We proceed analogously for even orders. Assuing p = 2, 2, then the there holds, ρ(e iq ) + q 2 σ(e iq ) = C p+2 h p+2 (iλ) p+2 + C p+3 h p+3 (iλ) p+3 + O(q p+4 ) = ( 1) +1 C p+2 q p+2 + i( 1) +1 C p+3 q p+3 + O(q p+4 ). Following the steps (21), (22), (23), with g(q) = g 0 (q) + ig 1 (q), leads to the syste a 0 g 0 (q)q 2 a 1 g 1 (q)q = ( 1) C p+2 q p+2 + O(q p+3 ), (28) a 1 g 0 (q)q + a 0 g 1 (q)q 2 = ( 1) C p+3 q p+3 + O(q p+4 ). Coparing orders of q shows now that g 0 (q) = O(q p+2 ) and g 1 (q) = O(q p+1 ). Eliinating higher order ters and solving for g 0 (q) and g 1 (q) gives, g 1 (q) =( 1) +1 C p+2 ρ (1) qp+1 + O(q p+2 ), (29) [ g 0 (q) = ( 1) ρ (1) 2 ρ (1)C p+3 1 ] 2 C p+2 (ρ (1) + ρ (1) 2σ (1)) q p+2 + O(q p+3 ). Order conditions for order 2 [8] requires that ρ (1) = 2σ(1), and ρ (1) = 6σ (1) 6σ(1). (30) Thus, inserting (30) into (29), we get g 0 (q) = ( 1) ρ (1) 2 [ρ (1)C p+3 13 ρ (1)C p+2 ] q p+2 + O(q p+3 ). Again investigating the size of the roots leads to where r(q) = 1 + g(q) + 2R[e iq g(q)] = 1 + A e (, ρ)q p+2 + O(q p+3 ), A e (, ρ) = 2 ( 1) ρ (1) 2 [ ( ) ] 1 ρ (1)C ρ (1) + ρ (1) C 2+2. (31) 9

12 k Störer Cowell Table 2: Methods that are stable in the vicinity of zero: denotes stable ethod, 0 - unstable. 3.3 The result We now synthesize the ain result of this paper, the stability Störer and Cowell ethods. Theore The k-step Störer ethod of order p = k +1 (8) is absolutely stable for q 0, q 0, whenever p = 4l 1 or p = 4l, and absolutely unstable whenever p = 4l + 1 or p = 4l + 2, l = 1, 2, The k-step Cowell ethod of order p = k+1 (9) is absolutely unstable for q 0, q 0, whenever p = 4l 1 or p = 4l, and absolutely stable whenever p = 4l + 1 or p = 4l + 2, l = 1, 2,.... l = 1, 2,.... Proof. In this proof we will need the following regarding the characteristic polynoial ρ(ζ), defined in equation (7) ρ (1) = 2, and 1 3 ρ (1) + ρ (1) = 2(k 1). (32) Both equalities are easily verified by straightforward calculations. 1. For Störer s ethod we have fro Propositions 1 and 2 that C p+2 = σ p+1 > 0. Therefore, investigating the sign of A o (, ρ) defined in equation (27), using equation (32), we see that the ethod will be absolutely stable for q 0, q > 0, whenever is odd; = 2l 1, l = 1, 2,.... This corresponds to order p = = 4l 1. Likewise the ethod is unstable for even ; = 2l, l = 1, This corresponds to order p = = 4l + 1. For even orders we investigate the function A e (, ρ) defined in equation (31). Using proposition 2 and equation (32), we have for Störer s ethods, A e (, ρ) = ( 1) (C p+3 (p 2)C p+2 ) ( = ( 1) σ p+2 p 2 ) 2 σ p+1. (33) Now Proposition 1 guarantees that the factor σ p+2 (p 2) 2 σ p+1 is negative as long as p > 3. Using this, we see that the ethod is absolutely stable when q 0, q > 0, if is even, = 2l, l = 1, 2,..., corresponding to order p = 2 = 4l. Likewise will the ethod be absolutely unstable, q 0, q > 0, if p = 4l For Cowell s ethod we repeat the exact sae arguent as for Störer s, but with reversed signs. This gives that, provided p > 3, the ethod is absolutely unstable in the vicinity of zero whenever Störer s ethod is absolutely stable and vice versa. 10

13 Thus we have established the stability of the Störer s ethods and Cowell s ethods for k > 3. For saller k stability is checked case by case. This will be done ore in detail in the following section where we shall establish intervals of stability for soe of the lower order ethods. We su up the stability of the ethods in the vicinity of zero in Table 2. 4 Regions of absolute stability In order to visualize the actual regions of absolute stability we use what is known as root-locus curve in the classical theory of ultistep ethods[6]. The root-locus curve in the case of the ethod (6) is siply the iage of the unit circle under the transforation z σ(z)/ϕ(z). The iportance of this curve lies in the fact that the boundary of the region of absolute stability will necessarily be a subset of this curve (a) (b) (c) (d) Figure 1: The Root-Locus curve and stability regions for Störer s ethods: (a) k = 2, (b) k = 3, (c) k = 4, (d) k = 5. Starting with Störer s ethod, we know that k = 0 and k = 1 both correspond to the order 2 Störer-Verlet ethod. It is easily verified that this ethod is absolutely stable for q < 2. For k = 2, 3, 4, 5 we draw the root-locus curves, and deterine the stability regions case by case. Figure 11

14 k Störer Cowell 0 [ 2, 2] [0, ] 1 [ 2, 2] [0, 4] 2 [0, 3] [0, 6] 3 [0, 2] [0, 6] 4 [ , ] [0, 11 ] 5 unstable [0, ] 6 [0, ] [0.9314, 52 ] 7 [0, ] [ , 71 ] 8 unstable [0, ] 9 unstable [0, ] [0, ] [ , [0, ] unstable 12 unstable [0, ] 13 unstable [0, ] ] Table 3: Stability intervals for Störer s and Cowell s ethods. 1 shows the result of these calculations. Note that in the case k = 4 and k = 5, there is no apparent region of stability. However, in the case of k = 4 we can zoo in and verify that there is in fact a sall region of stability around q 1.2 soething that ight coe as a slight surprise, see Figure 3. For k = 5 the sae kind of investigation shows that there is indeed no regions of stability. For Cowell s ethods it can be verified in a siilar case by case investigations that the ethods k = 0, 1, 2, 3 are stable near zero. In Figure 2 we plot root-locus curves for the ethods k = 4, 5, 6, 7. In the case of Cowell k = 7, there appears to be no region of stability. Again, as in the case of Störer k = 4, by zooing in it is verified that there is in fact a sall region of stability away fro zero. For Cowell s ethod with k = 6 one can be isled by Figure 2c) to believe that the ethod is stable near zero. However, by zooing, as shown in Figure 3b) we see that it has a region of stability with lower real liit close to one. Thus, by carefully exaining case by case we can obtain real intervals of stability for higher order ethods. This is done in a nuerically satisfactory way by finding all points where the root locus curve crosses the real axis, and then test the size of all roots in between to deterine if the corresponding intervals are stable or unstable. The result for k up to 13 is listed in Table 3. References [1] R. Barrio, M. Rodríguez, A. Abad, and F. Blesa, Breaking the liits: The Taylor series ethod, Applied atheatics and coputation, 217 (2011), pp [2] G. Dahlquist, On accuracy and unconditional stability of linear ultistep ethods for second order differential equations, BIT; Nordisk Tidskrift for Inforationsbehandling (BIT), 18 (1978), pp

15 (a) 0.6 (b) (c) (d) Figure 2: The Root-Locus curve and stability regions for Cowell s ethods: (a) k = 4, (b) k = 5, (c) k = 6, (d) k = (a) (b) Figure 3: Zoo-in on stability regions for (a) Störer s ethod with k = 4, (b) Cowell s ethod with k = 7. 13

16 [3] W. Gautschi, Nuerical integration of ordinary differential equations based on trigonoetric polynoials, Nuerische Matheatik, 3 (1961), pp [4] K. Grazier, W. Newan, J. Hyan, P. Sharp, and D. Goldstein, Achieving Brouwer s law with high-order Störer ultistep ethods, ANZIAM J, 46 (2004), p. 05. [5] E. Hairer, C. Lubich, and G. Wanner, Geoetric nuerical integration illustrated by the Störer-Verlet ethod, Acta Nuerica, 12 (2003), pp [6] E. Hairer, S. Nørsett, and G. Wanner, Solving Ordinary Differential Equations: Nonstiff Probles, vol. 1, Springer Verlag, [7] W. Hayes, Surfing on the edge: chaos versus near-integrability in the syste of jovian planets, Monthly Notices of the Royal Astronoical Society, 386 (2008), pp [8] P. Henrici, Discrete variable ethods in ordinary differential equations, vol. 1, New York: Wiley, 1962, [9] J. Labert and J. Labert, Coputational Methods in Ordinary Differential Equations, Wiley New York, [10] J. Labert and I. Watson, Syetric ultistip ethods for periodic initial value probles, IMA Journal of Applied Matheatics, 18 (1976), p [11] W. I. Newan, F. Varadi, A. Y. Lee, W. M. Kaula, K. R. Grazier, and J. M. Hyan, Nuerical integration, Lyapunov exponents and the outer Solar Syste, Bulletin of the Aerican Astronoical Society, 32 (2000), p [12] F. Olver, D. Lozier, R. Boisvert, and C. Clark, NIST handbook of atheatical functions, Cabridge University Press New York, NY, USA, [13] G. Quinlan and S. Treaine, Syetric ultistep ethods for the nuerical integration of planetary orbits, The Astronoical Journal, 100 (1990), pp [14] E. Thorbergsen, Undersøkelse av noen etoder for baneprobleer, Master s thesis, Norges Tekniske Høyskole(NTH), Trondhei, Norway, [15] F. Varadi and B. Runnegar, Successive refineents in long-ter integrations of planetary orbits, The Astrophysical Journal, (2003). 14

lecture 36: Linear Multistep Mehods: Zero Stability

lecture 36: Linear Multistep Mehods: Zero Stability 95 lecture 36: Linear Multistep Mehods: Zero Stability 5.6 Linear ultistep ethods: zero stability Does consistency iply convergence for linear ultistep ethods? This is always the case for one-step ethods,

More information

lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 38: Linear Multistep Methods: Absolute Stability, Part II

lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 38: Linear Multistep Methods: Absolute Stability, Part II lecture 37: Linear Multistep Methods: Absolute Stability, Part I lecture 3: Linear Multistep Methods: Absolute Stability, Part II 5.7 Linear ultistep ethods: absolute stability At this point, it ay well

More information

Stability Ordinates of Adams Predictor-Corrector Methods

Stability Ordinates of Adams Predictor-Corrector Methods BIT anuscript No. will be inserted by the editor Stability Ordinates of Adas Predictor-Corrector Methods Michelle L. Ghrist Jonah A. Reeger Bengt Fornberg Received: date / Accepted: date Abstract How far

More information

Beyond Mere Convergence

Beyond Mere Convergence Beyond Mere Convergence Jaes A. Sellers Departent of Matheatics The Pennsylvania State University 07 Whitore Laboratory University Park, PA 680 sellers@ath.psu.edu February 5, 00 REVISED Abstract In this

More information

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential

More information

Curious Bounds for Floor Function Sums

Curious Bounds for Floor Function Sums 1 47 6 11 Journal of Integer Sequences, Vol. 1 (018), Article 18.1.8 Curious Bounds for Floor Function Sus Thotsaporn Thanatipanonda and Elaine Wong 1 Science Division Mahidol University International

More information

lecture 35: Linear Multistep Mehods: Truncation Error

lecture 35: Linear Multistep Mehods: Truncation Error 88 lecture 5: Linear Multistep Meods: Truncation Error 5.5 Linear ultistep etods One-step etods construct an approxiate solution x k+ x(t k+ ) using only one previous approxiation, x k. Tis approac enoys

More information

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval Unifor Approxiation and Bernstein Polynoials with Coefficients in the Unit Interval Weiang Qian and Marc D. Riedel Electrical and Coputer Engineering, University of Minnesota 200 Union St. S.E. Minneapolis,

More information

Chaotic Coupled Map Lattices

Chaotic Coupled Map Lattices Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each

More information

The Weierstrass Approximation Theorem

The Weierstrass Approximation Theorem 36 The Weierstrass Approxiation Theore Recall that the fundaental idea underlying the construction of the real nubers is approxiation by the sipler rational nubers. Firstly, nubers are often deterined

More information

Chapter 6 1-D Continuous Groups

Chapter 6 1-D Continuous Groups Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:

More information

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term Nuerical Studies of a Nonlinear Heat Equation with Square Root Reaction Ter Ron Bucire, 1 Karl McMurtry, 1 Ronald E. Micens 2 1 Matheatics Departent, Occidental College, Los Angeles, California 90041 2

More information

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness A Note on Scheduling Tall/Sall Multiprocessor Tasks with Unit Processing Tie to Miniize Maxiu Tardiness Philippe Baptiste and Baruch Schieber IBM T.J. Watson Research Center P.O. Box 218, Yorktown Heights,

More information

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT PETER BORWEIN AND KWOK-KWONG STEPHEN CHOI Abstract. Let n be any integer and ( n ) X F n : a i z i : a i, ± i be the set of all polynoials of height and

More information

Comparison of Charged Particle Tracking Methods for Non-Uniform Magnetic Fields. Hann-Shin Mao and Richard E. Wirz

Comparison of Charged Particle Tracking Methods for Non-Uniform Magnetic Fields. Hann-Shin Mao and Richard E. Wirz 42nd AIAA Plasadynaics and Lasers Conferencein conjunction with the8th Internati 27-30 June 20, Honolulu, Hawaii AIAA 20-3739 Coparison of Charged Particle Tracking Methods for Non-Unifor Magnetic

More information

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical and Matheatical Sciences 04,, p. 7 5 ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD M a t h e a t i c s Yu. A. HAKOPIAN, R. Z. HOVHANNISYAN

More information

Lecture 21. Interior Point Methods Setup and Algorithm

Lecture 21. Interior Point Methods Setup and Algorithm Lecture 21 Interior Point Methods In 1984, Kararkar introduced a new weakly polynoial tie algorith for solving LPs [Kar84a], [Kar84b]. His algorith was theoretically faster than the ellipsoid ethod and

More information

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials Fast Montgoery-like Square Root Coputation over GF( ) for All Trinoials Yin Li a, Yu Zhang a, a Departent of Coputer Science and Technology, Xinyang Noral University, Henan, P.R.China Abstract This letter

More information

N-Point. DFTs of Two Length-N Real Sequences

N-Point. DFTs of Two Length-N Real Sequences Coputation of the DFT of In ost practical applications, sequences of interest are real In such cases, the syetry properties of the DFT given in Table 5. can be exploited to ake the DFT coputations ore

More information

Now multiply the left-hand-side by ω and the right-hand side by dδ/dt (recall ω= dδ/dt) to get:

Now multiply the left-hand-side by ω and the right-hand side by dδ/dt (recall ω= dδ/dt) to get: Equal Area Criterion.0 Developent of equal area criterion As in previous notes, all powers are in per-unit. I want to show you the equal area criterion a little differently than the book does it. Let s

More information

Comparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations

Comparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations International Journal of Applied Science and Technology Vol. 7, No. 3, Septeber 217 Coparison of Stability of Selected Nuerical Methods for Solving Stiff Sei- Linear Differential Equations Kwaku Darkwah

More information

Solutions of some selected problems of Homework 4

Solutions of some selected problems of Homework 4 Solutions of soe selected probles of Hoework 4 Sangchul Lee May 7, 2018 Proble 1 Let there be light A professor has two light bulbs in his garage. When both are burned out, they are replaced, and the next

More information

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT PACS REFERENCE: 43.5.LJ Krister Larsson Departent of Applied Acoustics Chalers University of Technology SE-412 96 Sweden Tel: +46 ()31 772 22 Fax: +46 ()31

More information

Hermite s Rule Surpasses Simpson s: in Mathematics Curricula Simpson s Rule. Should be Replaced by Hermite s

Hermite s Rule Surpasses Simpson s: in Mathematics Curricula Simpson s Rule. Should be Replaced by Hermite s International Matheatical Foru, 4, 9, no. 34, 663-686 Herite s Rule Surpasses Sipson s: in Matheatics Curricula Sipson s Rule Should be Replaced by Herite s Vito Lapret University of Lublana Faculty of

More information

Ph 20.3 Numerical Solution of Ordinary Differential Equations

Ph 20.3 Numerical Solution of Ordinary Differential Equations Ph 20.3 Nuerical Solution of Ordinary Differential Equations Due: Week 5 -v20170314- This Assignent So far, your assignents have tried to failiarize you with the hardware and software in the Physics Coputing

More information

arxiv: v1 [math.nt] 14 Sep 2014

arxiv: v1 [math.nt] 14 Sep 2014 ROTATION REMAINDERS P. JAMESON GRABER, WASHINGTON AND LEE UNIVERSITY 08 arxiv:1409.411v1 [ath.nt] 14 Sep 014 Abstract. We study properties of an array of nubers, called the triangle, in which each row

More information

Feature Extraction Techniques

Feature Extraction Techniques Feature Extraction Techniques Unsupervised Learning II Feature Extraction Unsupervised ethods can also be used to find features which can be useful for categorization. There are unsupervised ethods that

More information

Generalized eigenfunctions and a Borel Theorem on the Sierpinski Gasket.

Generalized eigenfunctions and a Borel Theorem on the Sierpinski Gasket. Generalized eigenfunctions and a Borel Theore on the Sierpinski Gasket. Kasso A. Okoudjou, Luke G. Rogers, and Robert S. Strichartz May 26, 2006 1 Introduction There is a well developed theory (see [5,

More information

Polygonal Designs: Existence and Construction

Polygonal Designs: Existence and Construction Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G

More information

Physics 139B Solutions to Homework Set 3 Fall 2009

Physics 139B Solutions to Homework Set 3 Fall 2009 Physics 139B Solutions to Hoework Set 3 Fall 009 1. Consider a particle of ass attached to a rigid assless rod of fixed length R whose other end is fixed at the origin. The rod is free to rotate about

More information

MULTIPLAYER ROCK-PAPER-SCISSORS

MULTIPLAYER ROCK-PAPER-SCISSORS MULTIPLAYER ROCK-PAPER-SCISSORS CHARLOTTE ATEN Contents 1. Introduction 1 2. RPS Magas 3 3. Ites as a Function of Players and Vice Versa 5 4. Algebraic Properties of RPS Magas 6 References 6 1. Introduction

More information

a a a a a a a m a b a b

a a a a a a a m a b a b Algebra / Trig Final Exa Study Guide (Fall Seester) Moncada/Dunphy Inforation About the Final Exa The final exa is cuulative, covering Appendix A (A.1-A.5) and Chapter 1. All probles will be ultiple choice

More information

Reducing round-off errors in symmetric multistep methods

Reducing round-off errors in symmetric multistep methods Reducing round-off errors in symmetric multistep methods Paola Console a, Ernst Hairer a a Section de Mathématiques, Université de Genève, 2-4 rue du Lièvre, CH-1211 Genève 4, Switzerland. (Paola.Console@unige.ch,

More information

3.8 Three Types of Convergence

3.8 Three Types of Convergence 3.8 Three Types of Convergence 3.8 Three Types of Convergence 93 Suppose that we are given a sequence functions {f k } k N on a set X and another function f on X. What does it ean for f k to converge to

More information

#A52 INTEGERS 10 (2010), COMBINATORIAL INTERPRETATIONS OF BINOMIAL COEFFICIENT ANALOGUES RELATED TO LUCAS SEQUENCES

#A52 INTEGERS 10 (2010), COMBINATORIAL INTERPRETATIONS OF BINOMIAL COEFFICIENT ANALOGUES RELATED TO LUCAS SEQUENCES #A5 INTEGERS 10 (010), 697-703 COMBINATORIAL INTERPRETATIONS OF BINOMIAL COEFFICIENT ANALOGUES RELATED TO LUCAS SEQUENCES Bruce E Sagan 1 Departent of Matheatics, Michigan State University, East Lansing,

More information

Descent polynomials. Mohamed Omar Department of Mathematics, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA , USA,

Descent polynomials. Mohamed Omar Department of Mathematics, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA , USA, Descent polynoials arxiv:1710.11033v2 [ath.co] 13 Nov 2017 Alexander Diaz-Lopez Departent of Matheatics and Statistics, Villanova University, 800 Lancaster Avenue, Villanova, PA 19085, USA, alexander.diaz-lopez@villanova.edu

More information

ma x = -bv x + F rod.

ma x = -bv x + F rod. Notes on Dynaical Systes Dynaics is the study of change. The priary ingredients of a dynaical syste are its state and its rule of change (also soeties called the dynaic). Dynaical systes can be continuous

More information

Soft Computing Techniques Help Assign Weights to Different Factors in Vulnerability Analysis

Soft Computing Techniques Help Assign Weights to Different Factors in Vulnerability Analysis Soft Coputing Techniques Help Assign Weights to Different Factors in Vulnerability Analysis Beverly Rivera 1,2, Irbis Gallegos 1, and Vladik Kreinovich 2 1 Regional Cyber and Energy Security Center RCES

More information

A note on the realignment criterion

A note on the realignment criterion A note on the realignent criterion Chi-Kwong Li 1, Yiu-Tung Poon and Nung-Sing Sze 3 1 Departent of Matheatics, College of Willia & Mary, Williasburg, VA 3185, USA Departent of Matheatics, Iowa State University,

More information

ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS

ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS #A34 INTEGERS 17 (017) ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS Jürgen Kritschgau Departent of Matheatics, Iowa State University, Aes, Iowa jkritsch@iastateedu Adriana Salerno

More information

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either

More information

EXPLICIT CONGRUENCES FOR EULER POLYNOMIALS

EXPLICIT CONGRUENCES FOR EULER POLYNOMIALS EXPLICIT CONGRUENCES FOR EULER POLYNOMIALS Zhi-Wei Sun Departent of Matheatics, Nanjing University Nanjing 10093, People s Republic of China zwsun@nju.edu.cn Abstract In this paper we establish soe explicit

More information

Poly-Bernoulli Numbers and Eulerian Numbers

Poly-Bernoulli Numbers and Eulerian Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 21 (2018, Article 18.6.1 Poly-Bernoulli Nubers and Eulerian Nubers Beáta Bényi Faculty of Water Sciences National University of Public Service H-1441

More information

Numerical Solution of the MRLW Equation Using Finite Difference Method. 1 Introduction

Numerical Solution of the MRLW Equation Using Finite Difference Method. 1 Introduction ISSN 1749-3889 print, 1749-3897 online International Journal of Nonlinear Science Vol.1401 No.3,pp.355-361 Nuerical Solution of the MRLW Equation Using Finite Difference Method Pınar Keskin, Dursun Irk

More information

COS 424: Interacting with Data. Written Exercises

COS 424: Interacting with Data. Written Exercises COS 424: Interacting with Data Hoework #4 Spring 2007 Regression Due: Wednesday, April 18 Written Exercises See the course website for iportant inforation about collaboration and late policies, as well

More information

Lectures 8 & 9: The Z-transform.

Lectures 8 & 9: The Z-transform. Lectures 8 & 9: The Z-transfor. 1. Definitions. The Z-transfor is defined as a function series (a series in which each ter is a function of one or ore variables: Z[] where is a C valued function f : N

More information

On Poset Merging. 1 Introduction. Peter Chen Guoli Ding Steve Seiden. Keywords: Merging, Partial Order, Lower Bounds. AMS Classification: 68W40

On Poset Merging. 1 Introduction. Peter Chen Guoli Ding Steve Seiden. Keywords: Merging, Partial Order, Lower Bounds. AMS Classification: 68W40 On Poset Merging Peter Chen Guoli Ding Steve Seiden Abstract We consider the follow poset erging proble: Let X and Y be two subsets of a partially ordered set S. Given coplete inforation about the ordering

More information

arxiv:physics/ v1 [physics.ed-ph] 19 Oct 2004

arxiv:physics/ v1 [physics.ed-ph] 19 Oct 2004 Orbits in a central force field: Bounded orbits Subhankar Ray Dept of Physics, Jadavpur University, Calcutta 7 3, India J. Shaanna Physics Departent, Visva Bharati University, Santiniketan 7335, India

More information

Efficient Filter Banks And Interpolators

Efficient Filter Banks And Interpolators Efficient Filter Banks And Interpolators A. G. DEMPSTER AND N. P. MURPHY Departent of Electronic Systes University of Westinster 115 New Cavendish St, London W1M 8JS United Kingdo Abstract: - Graphical

More information

A RECURRENCE RELATION FOR BERNOULLI NUMBERS. Mümün Can, Mehmet Cenkci, and Veli Kurt

A RECURRENCE RELATION FOR BERNOULLI NUMBERS. Mümün Can, Mehmet Cenkci, and Veli Kurt Bull Korean Math Soc 42 2005, No 3, pp 67 622 A RECURRENCE RELATION FOR BERNOULLI NUMBERS Müün Can, Mehet Cenci, and Veli Kurt Abstract In this paper, using Gauss ultiplication forula, a recurrence relation

More information

A Bernstein-Markov Theorem for Normed Spaces

A Bernstein-Markov Theorem for Normed Spaces A Bernstein-Markov Theore for Nored Spaces Lawrence A. Harris Departent of Matheatics, University of Kentucky Lexington, Kentucky 40506-0027 Abstract Let X and Y be real nored linear spaces and let φ :

More information

Non-Parametric Non-Line-of-Sight Identification 1

Non-Parametric Non-Line-of-Sight Identification 1 Non-Paraetric Non-Line-of-Sight Identification Sinan Gezici, Hisashi Kobayashi and H. Vincent Poor Departent of Electrical Engineering School of Engineering and Applied Science Princeton University, Princeton,

More information

The Transactional Nature of Quantum Information

The Transactional Nature of Quantum Information The Transactional Nature of Quantu Inforation Subhash Kak Departent of Coputer Science Oklahoa State University Stillwater, OK 7478 ABSTRACT Inforation, in its counications sense, is a transactional property.

More information

Explicit solution of the polynomial least-squares approximation problem on Chebyshev extrema nodes

Explicit solution of the polynomial least-squares approximation problem on Chebyshev extrema nodes Explicit solution of the polynoial least-squares approxiation proble on Chebyshev extrea nodes Alfredo Eisinberg, Giuseppe Fedele Dipartiento di Elettronica Inforatica e Sisteistica, Università degli Studi

More information

3D acoustic wave modeling with a time-space domain dispersion-relation-based Finite-difference scheme

3D acoustic wave modeling with a time-space domain dispersion-relation-based Finite-difference scheme P-8 3D acoustic wave odeling with a tie-space doain dispersion-relation-based Finite-difference schee Yang Liu * and rinal K. Sen State Key Laboratory of Petroleu Resource and Prospecting (China University

More information

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science A Better Algorith For an Ancient Scheduling Proble David R. Karger Steven J. Phillips Eric Torng Departent of Coputer Science Stanford University Stanford, CA 9435-4 Abstract One of the oldest and siplest

More information

1 Proof of learning bounds

1 Proof of learning bounds COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #4 Scribe: Akshay Mittal February 13, 2013 1 Proof of learning bounds For intuition of the following theore, suppose there exists a

More information

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields.

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields. s Vector Moving s and Coputer Science Departent The University of Texas at Austin October 28, 2014 s Vector Moving s Siple classical dynaics - point asses oved by forces Point asses can odel particles

More information

On the summations involving Wigner rotation matrix elements

On the summations involving Wigner rotation matrix elements Journal of Matheatical Cheistry 24 (1998 123 132 123 On the suations involving Wigner rotation atrix eleents Shan-Tao Lai a, Pancracio Palting b, Ying-Nan Chiu b and Harris J. Silverstone c a Vitreous

More information

DESIGN OF MECHANICAL SYSTEMS HAVING MAXIMALLY FLAT RESPONSE AT LOW FREQUENCIES

DESIGN OF MECHANICAL SYSTEMS HAVING MAXIMALLY FLAT RESPONSE AT LOW FREQUENCIES DESIGN OF MECHANICAL SYSTEMS HAVING MAXIMALLY FLAT RESPONSE AT LOW FREQUENCIES V.Raachran, Ravi P.Raachran C.S.Gargour Departent of Electrical Coputer Engineering, Concordia University, Montreal, QC, CANADA,

More information

Homework 3 Solutions CSE 101 Summer 2017

Homework 3 Solutions CSE 101 Summer 2017 Hoework 3 Solutions CSE 0 Suer 207. Scheduling algoriths The following n = 2 jobs with given processing ties have to be scheduled on = 3 parallel and identical processors with the objective of iniizing

More information

On the Dirichlet Convolution of Completely Additive Functions

On the Dirichlet Convolution of Completely Additive Functions 1 3 47 6 3 11 Journal of Integer Sequences, Vol. 17 014, Article 14.8.7 On the Dirichlet Convolution of Copletely Additive Functions Isao Kiuchi and Makoto Minaide Departent of Matheatical Sciences Yaaguchi

More information

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm Acta Polytechnica Hungarica Vol., No., 04 Sybolic Analysis as Universal Tool for Deriving Properties of Non-linear Algoriths Case study of EM Algorith Vladiir Mladenović, Miroslav Lutovac, Dana Porrat

More information

Bipartite subgraphs and the smallest eigenvalue

Bipartite subgraphs and the smallest eigenvalue Bipartite subgraphs and the sallest eigenvalue Noga Alon Benny Sudaov Abstract Two results dealing with the relation between the sallest eigenvalue of a graph and its bipartite subgraphs are obtained.

More information

Quantum algorithms (CO 781, Winter 2008) Prof. Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search

Quantum algorithms (CO 781, Winter 2008) Prof. Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search Quantu algoriths (CO 781, Winter 2008) Prof Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search ow we begin to discuss applications of quantu walks to search algoriths

More information

Page 1 Lab 1 Elementary Matrix and Linear Algebra Spring 2011

Page 1 Lab 1 Elementary Matrix and Linear Algebra Spring 2011 Page Lab Eleentary Matri and Linear Algebra Spring 0 Nae Due /03/0 Score /5 Probles through 4 are each worth 4 points.. Go to the Linear Algebra oolkit site ransforing a atri to reduced row echelon for

More information

A note on the multiplication of sparse matrices

A note on the multiplication of sparse matrices Cent. Eur. J. Cop. Sci. 41) 2014 1-11 DOI: 10.2478/s13537-014-0201-x Central European Journal of Coputer Science A note on the ultiplication of sparse atrices Research Article Keivan Borna 12, Sohrab Aboozarkhani

More information

Divisibility of Polynomials over Finite Fields and Combinatorial Applications

Divisibility of Polynomials over Finite Fields and Combinatorial Applications Designs, Codes and Cryptography anuscript No. (will be inserted by the editor) Divisibility of Polynoials over Finite Fields and Cobinatorial Applications Daniel Panario Olga Sosnovski Brett Stevens Qiang

More information

Linear recurrences and asymptotic behavior of exponential sums of symmetric boolean functions

Linear recurrences and asymptotic behavior of exponential sums of symmetric boolean functions Linear recurrences and asyptotic behavior of exponential sus of syetric boolean functions Francis N. Castro Departent of Matheatics University of Puerto Rico, San Juan, PR 00931 francis.castro@upr.edu

More information

. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe

. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe PROPERTIES OF MULTIVARIATE HOMOGENEOUS ORTHOGONAL POLYNOMIALS Brahi Benouahane y Annie Cuyt? Keywords Abstract It is well-known that the denoinators of Pade approxiants can be considered as orthogonal

More information

ON REGULARITY, TRANSITIVITY, AND ERGODIC PRINCIPLE FOR QUADRATIC STOCHASTIC VOLTERRA OPERATORS MANSOOR SABUROV

ON REGULARITY, TRANSITIVITY, AND ERGODIC PRINCIPLE FOR QUADRATIC STOCHASTIC VOLTERRA OPERATORS MANSOOR SABUROV ON REGULARITY TRANSITIVITY AND ERGODIC PRINCIPLE FOR QUADRATIC STOCHASTIC VOLTERRA OPERATORS MANSOOR SABUROV Departent of Coputational & Theoretical Sciences Faculty of Science International Islaic University

More information

USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS. By: Ian Blokland, Augustana Campus, University of Alberta

USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS. By: Ian Blokland, Augustana Campus, University of Alberta 1 USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS By: Ian Bloland, Augustana Capus, University of Alberta For: Physics Olypiad Weeend, April 6, 008, UofA Introduction: Physicists often attept to solve

More information

List Scheduling and LPT Oliver Braun (09/05/2017)

List Scheduling and LPT Oliver Braun (09/05/2017) List Scheduling and LPT Oliver Braun (09/05/207) We investigate the classical scheduling proble P ax where a set of n independent jobs has to be processed on 2 parallel and identical processors (achines)

More information

When Short Runs Beat Long Runs

When Short Runs Beat Long Runs When Short Runs Beat Long Runs Sean Luke George Mason University http://www.cs.gu.edu/ sean/ Abstract What will yield the best results: doing one run n generations long or doing runs n/ generations long

More information

1 Bounding the Margin

1 Bounding the Margin COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost

More information

Stability Analysis of the Matrix-Free Linearly Implicit 2 Euler Method 3 UNCORRECTED PROOF

Stability Analysis of the Matrix-Free Linearly Implicit 2 Euler Method 3 UNCORRECTED PROOF 1 Stability Analysis of the Matrix-Free Linearly Iplicit 2 Euler Method 3 Adrian Sandu 1 andaikst-cyr 2 4 1 Coputational Science Laboratory, Departent of Coputer Science, Virginia 5 Polytechnic Institute,

More information

The Euler-Maclaurin Formula and Sums of Powers

The Euler-Maclaurin Formula and Sums of Powers DRAFT VOL 79, NO 1, FEBRUARY 26 1 The Euler-Maclaurin Forula and Sus of Powers Michael Z Spivey University of Puget Sound Tacoa, WA 98416 spivey@upsedu Matheaticians have long been intrigued by the su

More information

Analysis of Polynomial & Rational Functions ( summary )

Analysis of Polynomial & Rational Functions ( summary ) Analysis of Polynoial & Rational Functions ( suary ) The standard for of a polynoial function is ( ) where each of the nubers are called the coefficients. The polynoial of is said to have degree n, where

More information

A new type of lower bound for the largest eigenvalue of a symmetric matrix

A new type of lower bound for the largest eigenvalue of a symmetric matrix Linear Algebra and its Applications 47 7 9 9 www.elsevier.co/locate/laa A new type of lower bound for the largest eigenvalue of a syetric atrix Piet Van Mieghe Delft University of Technology, P.O. Box

More information

ABSTRACT INTRODUCTION

ABSTRACT INTRODUCTION Wave Resistance Prediction of a Cataaran by Linearised Theory M.INSEL Faculty of Naval Architecture and Ocean Engineering, Istanbul Technical University, TURKEY A.F.MOLLAND, J.F.WELLICOME Departent of

More information

Some Perspective. Forces and Newton s Laws

Some Perspective. Forces and Newton s Laws Soe Perspective The language of Kineatics provides us with an efficient ethod for describing the otion of aterial objects, and we ll continue to ake refineents to it as we introduce additional types of

More information

World's largest Science, Technology & Medicine Open Access book publisher

World's largest Science, Technology & Medicine Open Access book publisher PUBLISHED BY World's largest Science, Technology & Medicine Open Access book publisher 2750+ OPEN ACCESS BOOKS 95,000+ INTERNATIONAL AUTHORS AND EDITORS 88+ MILLION DOWNLOADS BOOKS DELIVERED TO 5 COUNTRIES

More information

ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE

ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE CHRISTOPHER J. HILLAR Abstract. A long-standing conjecture asserts that the polynoial p(t = Tr(A + tb ] has nonnegative coefficients whenever is

More information

On Conditions for Linearity of Optimal Estimation

On Conditions for Linearity of Optimal Estimation On Conditions for Linearity of Optial Estiation Erah Akyol, Kuar Viswanatha and Kenneth Rose {eakyol, kuar, rose}@ece.ucsb.edu Departent of Electrical and Coputer Engineering University of California at

More information

On the Navier Stokes equations

On the Navier Stokes equations On the Navier Stokes equations Daniel Thoas Hayes April 26, 2018 The proble on the existence and soothness of the Navier Stokes equations is resolved. 1. Proble description The Navier Stokes equations

More information

Computable Shell Decomposition Bounds

Computable Shell Decomposition Bounds Coputable Shell Decoposition Bounds John Langford TTI-Chicago jcl@cs.cu.edu David McAllester TTI-Chicago dac@autoreason.co Editor: Leslie Pack Kaelbling and David Cohn Abstract Haussler, Kearns, Seung

More information

A GENERAL FORM FOR THE ELECTRIC FIELD LINES EQUATION CONCERNING AN AXIALLY SYMMETRIC CONTINUOUS CHARGE DISTRIBUTION

A GENERAL FORM FOR THE ELECTRIC FIELD LINES EQUATION CONCERNING AN AXIALLY SYMMETRIC CONTINUOUS CHARGE DISTRIBUTION A GENEAL FOM FO THE ELECTIC FIELD LINES EQUATION CONCENING AN AXIALLY SYMMETIC CONTINUOUS CHAGE DISTIBUTION BY MUGU B. ăuţ Abstract..By using an unexpected approach it results a general for for the electric

More information

The Lagrangian Method vs. other methods (COMPARATIVE EXAMPLE)

The Lagrangian Method vs. other methods (COMPARATIVE EXAMPLE) The Lagrangian ethod vs. other ethods () This aterial written by Jozef HANC, jozef.hanc@tuke.sk Technical University, Kosice, Slovakia For Edwin Taylor s website http://www.eftaylor.co/ 6 January 003 The

More information

PHY 171. Lecture 14. (February 16, 2012)

PHY 171. Lecture 14. (February 16, 2012) PHY 171 Lecture 14 (February 16, 212) In the last lecture, we looked at a quantitative connection between acroscopic and icroscopic quantities by deriving an expression for pressure based on the assuptions

More information

5.7 Chebyshev Multi-section Matching Transformer

5.7 Chebyshev Multi-section Matching Transformer 3/8/6 5_7 Chebyshev Multisection Matching Transforers / 5.7 Chebyshev Multi-section Matching Transforer Reading Assignent: pp. 5-55 We can also build a ultisection atching network such that Γ f is a Chebyshev

More information

Perturbation on Polynomials

Perturbation on Polynomials Perturbation on Polynoials Isaila Diouf 1, Babacar Diakhaté 1 & Abdoul O Watt 2 1 Départeent Maths-Infos, Université Cheikh Anta Diop, Dakar, Senegal Journal of Matheatics Research; Vol 5, No 3; 2013 ISSN

More information

Algebraic Montgomery-Yang problem: the log del Pezzo surface case

Algebraic Montgomery-Yang problem: the log del Pezzo surface case c 2014 The Matheatical Society of Japan J. Math. Soc. Japan Vol. 66, No. 4 (2014) pp. 1073 1089 doi: 10.2969/jsj/06641073 Algebraic Montgoery-Yang proble: the log del Pezzo surface case By DongSeon Hwang

More information

Faraday's Law Warm Up

Faraday's Law Warm Up Faraday's Law-1 Faraday's Law War Up 1. Field lines of a peranent agnet For each peranent agnet in the diagra below draw several agnetic field lines (or a agnetic vector field if you prefer) corresponding

More information

i ij j ( ) sin cos x y z x x x interchangeably.)

i ij j ( ) sin cos x y z x x x interchangeably.) Tensor Operators Michael Fowler,2/3/12 Introduction: Cartesian Vectors and Tensors Physics is full of vectors: x, L, S and so on Classically, a (three-diensional) vector is defined by its properties under

More information

δ 12. We find a highly accurate analytic description of the functions δ 11 ( δ 0, n)

δ 12. We find a highly accurate analytic description of the functions δ 11 ( δ 0, n) Coplete-return spectru for a generalied Rosen-Zener two-state ter-crossing odel T.A. Shahverdyan, D.S. Mogilevtsev, V.M. Red kov, and A.M Ishkhanyan 3 Moscow Institute of Physics and Technology, 47 Dolgoprudni,

More information

Generalized r-modes of the Maclaurin spheroids

Generalized r-modes of the Maclaurin spheroids PHYSICAL REVIEW D, VOLUME 59, 044009 Generalized r-odes of the Maclaurin spheroids Lee Lindblo Theoretical Astrophysics 130-33, California Institute of Technology, Pasadena, California 9115 Jaes R. Ipser

More information

Mechanics Physics 151

Mechanics Physics 151 Mechanics Physics 5 Lecture Oscillations (Chapter 6) What We Did Last Tie Analyzed the otion of a heavy top Reduced into -diensional proble of θ Qualitative behavior Precession + nutation Initial condition

More information

On a few Iterative Methods for Solving Nonlinear Equations

On a few Iterative Methods for Solving Nonlinear Equations On a few Iterative Methods for Solving Nonlinear Equations Gyurhan Nedzhibov Laboratory of Matheatical Modelling, Shuen University, Shuen 971, Bulgaria e-ail: gyurhan@shu-bg.net Abstract In this study

More information

A Generalized Permanent Estimator and its Application in Computing Multi- Homogeneous Bézout Number

A Generalized Permanent Estimator and its Application in Computing Multi- Homogeneous Bézout Number Research Journal of Applied Sciences, Engineering and Technology 4(23): 5206-52, 202 ISSN: 2040-7467 Maxwell Scientific Organization, 202 Subitted: April 25, 202 Accepted: May 3, 202 Published: Deceber

More information

Biostatistics Department Technical Report

Biostatistics Department Technical Report Biostatistics Departent Technical Report BST006-00 Estiation of Prevalence by Pool Screening With Equal Sized Pools and a egative Binoial Sapling Model Charles R. Katholi, Ph.D. Eeritus Professor Departent

More information