Field-induced inhomogeneous ground states of antiferromagnetic ANNNI chains. P.N. Timonin. Southern Federal University, , Rostov-on-Don, Russia

Size: px
Start display at page:

Download "Field-induced inhomogeneous ground states of antiferromagnetic ANNNI chains. P.N. Timonin. Southern Federal University, , Rostov-on-Don, Russia"

Transcription

1 Field-iduced ihoogeeous groud states of atiferroagetic ANNNI chais. P.N. Tioi Souther Federal Uiversity, , Rostov-o-Do, Russia Fiite-size effects are studied i groud states of atiferroagetic (AF) ANNNI chais i a field. It is show that field ca iduce a variety of ihoogeeous states i fiite chais. They are coposed of two shifted AF states with the i at their juctio ad are highly degeerate with respect to the i positio. The phase diagra field exchage ratio for fiite chais is preseted.. Itroductio Fiite-size effects i the atiferroagetic (AF) groud states of short-rage Isig chais i a field have soe defiite peculiarity: the possible perturbatios of AF spi order caused by free boudaries caot be cofied to soe viciity of chai eds but spread throughout the whole chai. This is the cosequece of the AF groud states degeeracy i ifiite chais (or rigs) ad, hece, of the ifiite correlatio legth. The origi of degeeracy lies i the traslatioal ivariace of ifiite systes ad rigs, geerally there ca be several groud states shifted alog the chai. Cosider the siplest case of fiite chai with earest-eighbor (NN) AF exchage i a field H. If it has odd uber of spis N free boudaries lift the degeeracy aig the state with ed spis up (alog the field) the uique groud state at 0 < H < J, J is AF exchage. This apparetly chages spi order throughout the whole chai. Yet ore proouced effect appears i case of eve uber of spis: while at 0 < H < J there is still usual two-fold degeeracy, at J < H < J N/ degeerate groud states appear. Its costructio cosists i divisio of chai i two segets with odd ubers of spis ad edowig each seget with the spi structure of odd chai, i.e. ed spis up i both segets, see Fig. a. Thus each such state has a i coposed of two earby spis up with the usual AF order beyod the i. It ca be readily verified that it has lower eergy tha perfect AF order at J < H < J. Such i states were first foud i acroscopic odel of agetic layers with AF exchage []. I the eseble of earesteighbor AF chais the averagig over these states gives the followig liearly-odulated AF order for average Isig spis [], see Fig. b, s N N, 0,,..., N. () Here uber of spis N is eve. We ay ote that esebles of such AF chais ca be realized i dilute crystals with (quasi) d agetic structure, i solutios of agetic polyers ad i agetic liquid crystals. Itesity of agetic eutro diffractio o these objects i such bow-tie phase bears oly traces of the uderlyig AF order exhibitig a broad pea aroud []. Siilar field-iduced ihoogeeous groud states ay exist i ore coplex Isig odels o fiite chais ad chai-lie structures (stripes, tubes) with iteractios spreadig over several uit cells. I such odels it ay ot be easy to fid groud states

2 via eueratio of possible variats ad coparig their eergies. Here the regular calculatios withi trasfer-atrix (TM) foralis ca be used at low teperatures. I Sectio we cosider siple AF Isig chai with NN exchage to fid its groud state withi this stadard approach. I Sectio 3 we describe TM foralis for the Isig chai with NN ad ext-earest-eighbor (NNN) AF exchage (ANNNI odel) ad apply it i Sectios 4, 5 to reveal the appearace field-iduced ihoogeeous groud states i this odel. (b) Fig.. (a) Ki groud states of NN AF chai with N = 8 at J < H < J, dotted lies ar i positio; (b) resultig average agetizatio profile for N = 3 fro Eq. ().. Groud states of NN AF Isig chai. Let us see how TM foralis wors for a siple (NN) AF chai ad how Eq. () eerges i it. The Hailtoia of this odel defies the TM Uss, exp K ss h s s / which is used to fid average local spis as L N N J s s H s 0 0, K=J/T, h=h/t, () s Tr VU U / Tr VU, L N, L (3) z Here z is Pauli atrix, Vs, s vsvs, vs exp h s / V for free boudaries ad I - idetity atrix for a rig.

3 At low T i, H J we have 0 U x, exph K So at H < J 0 for T 0 ad eigevalues of U are Thus defies the correlatio legth /, =. Usig spectral decopositio of U [3] we fid / l / which diverges at 0 L L, / U E E U I I x z At sufficietly low T becoes uch larger tha L ( L ) ad here we have / L L L L L U E E L L L I x L x z I L L / Thus for N eve (L odd) ad free boudaries L h h h TrVU e e e L N 4e while K h h h z Tr VU U e N e So at 0 < H < J for N eve we have approxiately at T i H, J, T. N Kh N 4e justifyig the groud state expressio () for at J < H < J. At 0 < H < J free eergy of eve AF chais is (apart fro irrelevat costat) 3

4 F hk T h l L T e N e TrVU l N N It describes the fiite-size effects i the eseble of eve AF chais at low T. I particular, the etropy S hk N K e h N N l Kh N 4e experieces sharp growth fro rather low values at 0 < H < J h K S N l e K h / to greater oes at J < H < J S N l N / reflectig the appearace of N/ groud states. Also agetizatio N F M N H N 4e 0 Kh grows fro early zero to the costat value /N whe H becoes greater tha J.. AF ANNNI chai We cosider fiite Isig chai with first ad secod eighbor AF exchage havig the Hailtoia N N 3 N J s s J s s H s The groud states of this odel o the ifiite rig or chai are foud i Ref. [4] as J / J ad H > 0. There are four types of order: ordiary fuctio of exchage ratio AF with (up, dow) uit cell, AF with (up, up, dow, dow) cell, ferriagetic (up, up, dow) ad ferroagetic oe [4]. The TM of the odel coects the eighborig pairs of spis U exp K ss ss s s / h s s s s s,s ss / ad local agetizatio is l l L N Tr VU S U / Tr VU, L, l l L l, (4) 4

5 S s s s,s s,s s s s s / s,s (5) Square bracets i (4) deote the iteger part of a uber. The chai with free boudaries ad eve N has V v v, v exp K s s h s s s,s s s s (6) while for odd N V v v, v v exp s K ss h s,s s s s s (7) s Adoptig the followig covetio for the relatio betwee row (colu) ubers ad cofiguratios s, s,, 3, 4 we ca represet U at T i J, J, H as c c a 0 b 0 U a 0 ab c b ab a exp h K K, b exp h K K, c exp h K K (8) Apparetly, at low T cosidered a ax b, c, bc (9) so the approxiate equatio for eigevalues λ of U reads ab c a (0) The solutios to Eq. (0) have four differet types of behavior whe T 0 depedig o the relatios betwee a, b ad c. For the eigevalues with largest odules we have 4,, = 3 ab 3 b a h ab () 5

6 , a 0 h -, a /,, () 3 3 ax c, a b 3 h, /3 i /3 a e, 0,,. (3) a c 3 h, c. (4) Here h H / J. So i four regios of h α plae U has differet liitig fors at T 0, which we ca obtai leavig i the origial TM (8) oly those atrix eleets which give the eigevalues listed above, aely, a h 4, U a 0 ab ab 0 0 a h, U a , a a h U c h, U (5) (6) (7) (8) These differet liitig fors of U ae evidet that we have differet groud states i the correspodig regios of h α plae. Thus at h ad T 0 U trasfers ito the to ad so o, while is trasferred to the to etc. So here we have phase AF i the ifiite chai. At h 4 the sequece is or etc. ad it is the ordiary AF phase. 6

7 At 3 h spi structure has period 3 as atrix eleets of U geerate the sequece, that is the ferriagetic groud state. At h oly state survives so this is the regio of ferroagetic groud state. This phase diagra foud i Ref. [4] is show i Fig.. Fig.. Groud state phase diagra for the fiite AF ANNNI chai i a field. Solid lies are phase boudaries for ifiite chais or rigs foud i Ref. [4]. Dotted lies show the boudaries of ihoogeeous (odulated) phases of fiite chais. I the ferriagetic phase the fiite size effects are rather trivial cosistig i (partial) liftig the triple degeeracy of the groud states. Notrivial groud states i fiite chais ca appear i two AF phases of preset odel so further we cosider just these phases. 4. Groud states i AF phase. W ab U Here it is coveiet to use the oralized TM secod row ad secod colu with zeros, cf. (5), i which we oit the 0 0 b b 0 W 0 b,. (9) 3 ab At T 0 ε goes to zero ad for L we have fro the spectral decopositio 7

8 L L Z Tr VW Tr VG L Tr VG, G E E. Here Ê ad Ê are the idepotet copoets related to the eigevalues ad correspodigly. Apparetly, is iverse correlatio legth. I the lowest order i we have [3] 0 0 b G b b 0 0, G 0 0 b so for N eve ad K 0 K K K Z b L e e b b L e b L. Siilarly, we get Z Tr VG S G ltr VG S G l Tr VG S G L Here S differs fro that i Eq. (5) by the absece of secod row ad secod colu. For N eve (L odd) ad L 3, l, l, K 0 we have l l b L. (0) is zero as i ordiary doubly degeerate AF state but Thus for b ( h ) whe b 0 ( h 4, F regio i Fig. ) we have liearly odulated state. Returig to the site ubers i (0), cf. Eq. (4), we get N N 4, N 6, N 3 Fourier trasfor of this, N 3 i3 / e e i,0, cos / r, r 0,,..., N 5 N 4, depeds o N through values oly, so it has defiite therodyaic liit ad ca be cosidered as order paraeter for this ihoogeeous phase. Note that the sae has the bow-tie phase of NN AF chai () for r / N, cf. Ref. []. It defies the itesity 8

9 of eutro diffractio paraeter. I for wave vector expressed i uits of iverse cell The calculatios for l =0 ad l = L result i 0, for K 0 ad N N we have a profile show i Fig. 3 for N = 36. Evidetly, here we have (N - 4)/ degeerate groud states fored fro the ier N - 4 spis by the process siilar to that i siple NN AF chai. The couples of the boudary spis stay fixed at the above values as NNN AF exchage forbids two parallel spis at the edges. For N odd i all AF regio Fig.3. Magetizatio of liearly odulated state of ANNNI chai with N = 36 at h 4 (F regio i Fig.). 5. Groud states i AF phase. Accordig to (6) U i this phase ( h -) ca be represeted as U E ag, x E, G 0. x a for T 0, we ca evaluate the powers of As 0 decopositio. Thus at a U without resortig to spectral, D E, G U I ad 0 I x 0 () Fro this equatio it follows that chais with L eve do ot have ihoogeeous groud states as i such case we ca eglect the cotributios of order a i calculatios. However, for L odd (i. e. for N = 4M or N = 4M + ) we have 9

10 a Z L TrVE TrV L G L EGE () ad TrVE 0 for N = 4M while for N = 4M + TrVE ay go to zero as T 0, see (6, 7). Thus further we cosider L odd. I such a case l l l Z L TrV I a D ES I a D al GS al SG (3) For N = 4M we get fro these equatios l l L L l L 4e K h (4) Thus at h (F regio i Fig. ) we have l N N (5) Fig. 4 shows (5) for N = 64. Oe ca see that this is the result of averagig over N /4 M degeerate groud states which are fored fro AF state via flippig odd uber of successive spis i eve or odd sublattice. They are show i Fig. 5(b)-(e) for N = Fig.4. Magetizatio profile at h (F regio i Fig. ) for N = 64. Fourier trasfor of (5) is 0 N i/ i e cos / e, cos r r, r 0,,..., N, N M Its sigularities at /ad 3 / reflects the uderlyig early perfect period-4 order of the i states. 0

11 Accordig to (4) at h i, i doubly degeerate 0 whe T 0 which eas that chai is AF groud states. For N = 8 oe of these states is show i Fig. 5 (a), its couterpart has all spi reversed. Fig.5. Procedure of groud states foratio at h for N = 8. (a) The paret state. The groud states are obtaied via flippig i it oe spi (b), (c) or three spis (d), (e). Flipped spis are ared by the dots. For N = 4M + ad h i, we get fro (7,, 3) l l L e 4e l l K h K h l l L 4 e e K h K h Calculatig N = 4M + : for other regios of h h, F regio i Fig., plae where AF phase exists we fially get for l ll l L ; (6) M l, h, F3 regio i Fig.,,4r ; (7) L M r

12 ax,h, the rest of AF phase i Fig., l. (8) The profile (6) for h (F regio) is show i Fig. 6 for N = 65. We see that eve sublattice have AF order with up spis at the edges but the odd oe is fored via averagig over N / 4 M i states. I cotrast, at ax,h the AF order i odd sublattice stay itact up to a global reversal so spis i it have zero average value, see Eq. (8) Fig.6. Magetizatio profile at h (F regio) for N = 65. Fourier trasfor of (6) is N i / cos, r / N r / M, r 0,,..., N e 0, It also shows idepedece of its for o N ad sigularities at / ad 3 /., h (F3 regio) for N = Fig.7. Procedure of groud state foratio at 9. (a) Two paret states, below there are groud states obtaied fro the via flippig of oe spi (b) ad three spis (c). Flipped spis are ared by the dots.

13 The profile (7) at, h (F3 regio) is the result of the averagig over N / M groud states. The procedure of their foratio is show i Fig. 7 for N = 9. It aes the uber of the satisfied NN bods larger at the expese of the NNN oes. This provides the eergy gai as. 6. Discussio ad coclusios Above results are suarized o the phase diagra i Fig.. F phase exists i eve chais ad is quite siilar to that i ordiary NN AF chai. I F regio the chais with N = 4M ad N = 4M + has odulated phases. F3 phase of N = 4M + chai is forally periodic (of 0,0,,0 type, cf. Eq. (7)) but it is also the result of the averagig over ihoogeeous i states. Their uber is always of order N due to the degeeracy with respect to the i positio. I the above exaples the for of i states ca be readily guessed fro the results of TM calculatios but i ore coplex cases it ca be also calculated via addig local fields liftig their degeeracy. The echais of appearace of field-iduced ihoogeeous groud states i fiite AF chais lies i the degeeracy of their (ifiite) AF groud states i a field. I the above exaples the i states are fored via cojuctio of two shifted AF states which results i appearace of ozero agetic oet alog the field. The eergy gai fro this ay overcoe the eergy eeded for the i foratio at large eough H. Oe ay be iterested if this echais ca wor i higher diesios, o-isig systes or quatu odels havig degeerate groud states. Now there is o defiite aswer to this, yet it sees worthwhile to study the fiite-size effects i such systes. REFERENCES. C. Micheletti, R. B. Griffiths, J. M. Yeoas, Phys. Rev. B, 59, 639 (999).. P.N. Tioi, JETP, 5, 00 (0). 3. P. Laaster, Theory of Matrices, Acadeic Press: New Yor - Lodo (969), ch.. 4. P. Ruja, W. Sele, G.V. Uii, Z. Phys. B, 53, (983) 3

X. Perturbation Theory

X. Perturbation Theory X. Perturbatio Theory I perturbatio theory, oe deals with a ailtoia that is coposed Ĥ that is typically exactly solvable of two pieces: a referece part ad a perturbatio ( Ĥ ) that is assued to be sall.

More information

Perturbation Theory, Zeeman Effect, Stark Effect

Perturbation Theory, Zeeman Effect, Stark Effect Chapter 8 Perturbatio Theory, Zeea Effect, Stark Effect Ufortuately, apart fro a few siple exaples, the Schrödiger equatio is geerally ot exactly solvable ad we therefore have to rely upo approxiative

More information

8.3 Perturbation theory

8.3 Perturbation theory 8.3 Perturbatio theory Slides: Video 8.3.1 Costructig erturbatio theory Text referece: Quatu Mechaics for Scietists ad gieers Sectio 6.3 (u to First order erturbatio theory ) Perturbatio theory Costructig

More information

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1 ROOT LOCUS TECHNIQUE 93 should be desiged differetly to eet differet specificatios depedig o its area of applicatio. We have observed i Sectio 6.4 of Chapter 6, how the variatio of a sigle paraeter like

More information

Orthogonal Functions

Orthogonal Functions Royal Holloway Uiversity of odo Departet of Physics Orthogoal Fuctios Motivatio Aalogy with vectors You are probably failiar with the cocept of orthogoality fro vectors; two vectors are orthogoal whe they

More information

Physics 219 Summary of linear response theory

Physics 219 Summary of linear response theory 1 Physics 219 Suary of liear respose theory I. INTRODUCTION We apply a sall perturbatio of stregth f(t) which is switched o gradually ( adiabatically ) fro t =, i.e. the aplitude of the perturbatio grows

More information

42 Dependence and Bases

42 Dependence and Bases 42 Depedece ad Bases The spa s(a) of a subset A i vector space V is a subspace of V. This spa ay be the whole vector space V (we say the A spas V). I this paragraph we study subsets A of V which spa V

More information

Define a Markov chain on {1,..., 6} with transition probability matrix P =

Define a Markov chain on {1,..., 6} with transition probability matrix P = Pla Group Work 0. The title says it all Next Tie: MCMC ad Geeral-state Markov Chais Midter Exa: Tuesday 8 March i class Hoework 4 due Thursday Uless otherwise oted, let X be a irreducible, aperiodic Markov

More information

Analytic Continuation

Analytic Continuation Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

) is a square matrix with the property that for any m n matrix A, the product AI equals A. The identity matrix has a ii

) is a square matrix with the property that for any m n matrix A, the product AI equals A. The identity matrix has a ii square atrix is oe that has the sae uber of rows as colus; that is, a atrix. he idetity atrix (deoted by I, I, or [] I ) is a square atrix with the property that for ay atrix, the product I equals. he

More information

AVERAGE MARKS SCALING

AVERAGE MARKS SCALING TERTIARY INSTITUTIONS SERVICE CENTRE Level 1, 100 Royal Street East Perth, Wester Australia 6004 Telephoe (08) 9318 8000 Facsiile (08) 95 7050 http://wwwtisceduau/ 1 Itroductio AVERAGE MARKS SCALING I

More information

SEQUENCES AND SERIES

SEQUENCES AND SERIES 9 SEQUENCES AND SERIES INTRODUCTION Sequeces have may importat applicatios i several spheres of huma activities Whe a collectio of objects is arraged i a defiite order such that it has a idetified first

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled 1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how

More information

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka) 7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.

More information

Uncertainty Principle of Mathematics

Uncertainty Principle of Mathematics Septeber 27 Ucertaity Priciple of Matheatics Shachter Mourici Israel, Holo ourici@walla.co.il Preface This short paper prove that atheatically, Reality is ot real. This short paper is ot about Heiseberg's

More information

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton Wavelet Trasfor Theory Prof. Mark Fowler Departet of Electrical Egieerig State Uiversity of New York at Bighato What is a Wavelet Trasfor? Decopositio of a sigal ito costituet parts Note that there are

More information

SEQUENCES AND SERIES

SEQUENCES AND SERIES Sequeces ad 6 Sequeces Ad SEQUENCES AND SERIES Successio of umbers of which oe umber is desigated as the first, other as the secod, aother as the third ad so o gives rise to what is called a sequece. Sequeces

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

Binomial transform of products

Binomial transform of products Jauary 02 207 Bioial trasfor of products Khristo N Boyadzhiev Departet of Matheatics ad Statistics Ohio Norther Uiversity Ada OH 4580 USA -boyadzhiev@ouedu Abstract Give the bioial trasfors { b } ad {

More information

Bertrand s postulate Chapter 2

Bertrand s postulate Chapter 2 Bertrad s postulate Chapter We have see that the sequece of prie ubers, 3, 5, 7,... is ifiite. To see that the size of its gaps is ot bouded, let N := 3 5 p deote the product of all prie ubers that are

More information

Note that the argument inside the second square root is always positive since R L > Z 0. The series reactance can be found as

Note that the argument inside the second square root is always positive since R L > Z 0. The series reactance can be found as Ipedace Matchig Ipedace Matchig Itroductio Ipedace atchig is the process to atch the load to a trasissio lie by a atchig etwork, as depicted i Fig Recall that the reflectios are eliiated uder the atched

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20 ECE 6341 Sprig 016 Prof. David R. Jackso ECE Dept. Notes 0 1 Spherical Wave Fuctios Cosider solvig ψ + k ψ = 0 i spherical coordiates z φ θ r y x Spherical Wave Fuctios (cot.) I spherical coordiates we

More information

THE GREATEST ORDER OF THE DIVISOR FUNCTION WITH INCREASING DIMENSION

THE GREATEST ORDER OF THE DIVISOR FUNCTION WITH INCREASING DIMENSION MATHEMATICA MONTISNIGRI Vol XXVIII (013) 17-5 THE GREATEST ORDER OF THE DIVISOR FUNCTION WITH INCREASING DIMENSION GLEB V. FEDOROV * * Mechaics ad Matheatics Faculty Moscow State Uiversity Moscow, Russia

More information

Exercise 8 CRITICAL SPEEDS OF THE ROTATING SHAFT

Exercise 8 CRITICAL SPEEDS OF THE ROTATING SHAFT Exercise 8 CRITICA SEEDS OF TE ROTATING SAFT. Ai of the exercise Observatio ad easureet of three cosecutive critical speeds ad correspodig odes of the actual rotatig shaft. Copariso of aalytically coputed

More information

COMP 2804 Solutions Assignment 1

COMP 2804 Solutions Assignment 1 COMP 2804 Solutios Assiget 1 Questio 1: O the first page of your assiget, write your ae ad studet uber Solutio: Nae: Jaes Bod Studet uber: 007 Questio 2: I Tic-Tac-Toe, we are give a 3 3 grid, cosistig

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Jacobi symbols. p 1. Note: The Jacobi symbol does not necessarily distinguish between quadratic residues and nonresidues. That is, we could have ( a

Jacobi symbols. p 1. Note: The Jacobi symbol does not necessarily distinguish between quadratic residues and nonresidues. That is, we could have ( a Jacobi sybols efiitio Let be a odd positive iteger If 1, the Jacobi sybol : Z C is the costat fuctio 1 1 If > 1, it has a decopositio ( as ) a product of (ot ecessarily distict) pries p 1 p r The Jacobi

More information

Quantum Annealing for Heisenberg Spin Chains

Quantum Annealing for Heisenberg Spin Chains LA-UR # - Quatum Aealig for Heiseberg Spi Chais G.P. Berma, V.N. Gorshkov,, ad V.I.Tsifriovich Theoretical Divisio, Los Alamos Natioal Laboratory, Los Alamos, NM Istitute of Physics, Natioal Academy of

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

Bernoulli Polynomials Talks given at LSBU, October and November 2015 Tony Forbes

Bernoulli Polynomials Talks given at LSBU, October and November 2015 Tony Forbes Beroulli Polyoials Tals give at LSBU, October ad Noveber 5 Toy Forbes Beroulli Polyoials The Beroulli polyoials B (x) are defied by B (x), Thus B (x) B (x) ad B (x) x, B (x) x x + 6, B (x) dx,. () B 3

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

PHYC - 505: Statistical Mechanics Homework Assignment 4 Solutions

PHYC - 505: Statistical Mechanics Homework Assignment 4 Solutions PHYC - 55: Statistical Mechaics Homewor Assigmet 4 Solutios Due February 5, 14 1. Cosider a ifiite classical chai of idetical masses coupled by earest eighbor sprigs with idetical sprig costats. a Write

More information

Physics 232 Gauge invariance of the magnetic susceptibilty

Physics 232 Gauge invariance of the magnetic susceptibilty Physics 232 Gauge ivariace of the magetic susceptibilty Peter Youg (Dated: Jauary 16, 2006) I. INTRODUCTION We have see i class that the followig additioal terms appear i the Hamiltoia o addig a magetic

More information

Math 113, Calculus II Winter 2007 Final Exam Solutions

Math 113, Calculus II Winter 2007 Final Exam Solutions Math, Calculus II Witer 7 Fial Exam Solutios (5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute x x + dx The check your aswer usig the Evaluatio Theorem Solutio: I this

More information

( ) Time-Independent Perturbation Theory. Michael Fowler 2/16/06

( ) Time-Independent Perturbation Theory. Michael Fowler 2/16/06 Tie-Idepedet Perturbatio Theory Michael Fowler /6/6 Itroductio If a ato (ot ecessarily i its groud state) is placed i a exteral electric field, the eergy levels shift, ad the wave fuctios are distorted

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016

subcaptionfont+=small,labelformat=parens,labelsep=space,skip=6pt,list=0,hypcap=0 subcaption ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, 2/16/2016 subcaptiofot+=small,labelformat=pares,labelsep=space,skip=6pt,list=0,hypcap=0 subcaptio ALGEBRAIC COMBINATORICS LECTURE 8 TUESDAY, /6/06. Self-cojugate Partitios Recall that, give a partitio λ, we may

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Topic 1 2: Sequences and Series. A sequence is an ordered list of numbers, e.g. 1, 2, 4, 8, 16, or

Topic 1 2: Sequences and Series. A sequence is an ordered list of numbers, e.g. 1, 2, 4, 8, 16, or Topic : Sequeces ad Series A sequece is a ordered list of umbers, e.g.,,, 8, 6, or,,,.... A series is a sum of the terms of a sequece, e.g. + + + 8 + 6 + or... Sigma Notatio b The otatio f ( k) is shorthad

More information

MA131 - Analysis 1. Workbook 2 Sequences I

MA131 - Analysis 1. Workbook 2 Sequences I MA3 - Aalysis Workbook 2 Sequeces I Autum 203 Cotets 2 Sequeces I 2. Itroductio.............................. 2.2 Icreasig ad Decreasig Sequeces................ 2 2.3 Bouded Sequeces..........................

More information

Chapter 2. Asymptotic Notation

Chapter 2. Asymptotic Notation Asyptotic Notatio 3 Chapter Asyptotic Notatio Goal : To siplify the aalysis of ruig tie by gettig rid of details which ay be affected by specific ipleetatio ad hardware. [1] The Big Oh (O-Notatio) : It

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

Problem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t =

Problem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t = Mathematics Summer Wilso Fial Exam August 8, ANSWERS Problem 1 (a) Fid the solutio to y +x y = e x x that satisfies y() = 5 : This is already i the form we used for a first order liear differetial equatio,

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

1 Generating functions for balls in boxes

1 Generating functions for balls in boxes Math 566 Fall 05 Some otes o geeratig fuctios Give a sequece a 0, a, a,..., a,..., a geeratig fuctio some way of represetig the sequece as a fuctio. There are may ways to do this, with the most commo ways

More information

The state space model needs 5 parameters, so it is not as convenient to use in this control study.

The state space model needs 5 parameters, so it is not as convenient to use in this control study. Trasfer fuctio for of the odel G θ K ω 2 θ / v θ / v ( s) = = 2 2 vi s + 2ζωs + ω The followig slides detail a derivatio of this aalog eter odel both as state space odel ad trasfer fuctio (TF) as show

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

PHY4905: Nearly-Free Electron Model (NFE)

PHY4905: Nearly-Free Electron Model (NFE) PHY4905: Nearly-Free Electro Model (NFE) D. L. Maslov Departmet of Physics, Uiversity of Florida (Dated: Jauary 12, 2011) 1 I. REMINDER: QUANTUM MECHANICAL PERTURBATION THEORY A. No-degeerate eigestates

More information

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k)

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k) THE TWELVEFOLD WAY FOLLOWING GIAN-CARLO ROTA How ay ways ca we distribute objects to recipiets? Equivaletly, we wat to euerate equivalece classes of fuctios f : X Y where X = ad Y = The fuctios are subject

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

Chimica Inorganica 3

Chimica Inorganica 3 himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule

More information

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y Questio (a) A square matrix A= A is called positive defiite if the quadratic form waw > 0 for every o-zero vector w [Note: Here (.) deotes the traspose of a matrix or a vector]. Let 0 A = 0 = show that:

More information

S. A. ALIEV, Y. I. YELEYKO, Y. V. ZHERNOVYI. STEADY-STATE DISTRIBUTIONS FOR CERTAIN MODIFICATIONS OF THE M/M/1/m QUEUEING SYSTEM

S. A. ALIEV, Y. I. YELEYKO, Y. V. ZHERNOVYI. STEADY-STATE DISTRIBUTIONS FOR CERTAIN MODIFICATIONS OF THE M/M/1/m QUEUEING SYSTEM Trasactios of Azerbaija Natioal Acadey of Scieces, Series of Physical-Techical ad Matheatical Scieces: Iforatics ad Cotrol Probles 009 Vol XXIX, 6 P 50-58 S A ALIEV, Y I YELEYKO, Y V ZHERNOVYI STEADY-STATE

More information

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1)

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1) Suer MA 1500 Lesso 1 Sectio 1.6, Sectio 1.7 (part 1) I Solvig Polyoial Equatios Liear equatio ad quadratic equatios of 1 variable are specific types of polyoial equatios. Soe polyoial equatios of a higher

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/21 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-25 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

Random Models. Tusheng Zhang. February 14, 2013

Random Models. Tusheng Zhang. February 14, 2013 Radom Models Tusheg Zhag February 14, 013 1 Radom Walks Let me describe the model. Radom walks are used to describe the motio of a movig particle (object). Suppose that a particle (object) moves alog the

More information

Filter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and

Filter banks. Separately, the lowpass and highpass filters are not invertible. removes the highest frequency 1/ 2and Filter bas Separately, the lowpass ad highpass filters are ot ivertible T removes the highest frequecy / ad removes the lowest frequecy Together these filters separate the sigal ito low-frequecy ad high-frequecy

More information

R is a scalar defined as follows:

R is a scalar defined as follows: Math 8. Notes o Dot Product, Cross Product, Plaes, Area, ad Volumes This lecture focuses primarily o the dot product ad its may applicatios, especially i the measuremet of agles ad scalar projectio ad

More information

Physical Chemistry I for Biochemists. Lecture 2 (1/12/11) Yoshitaka Ishii. Gas Ch. 1 Non-Ideal Gas (Ch 1 & Raff p21-41) Announcement

Physical Chemistry I for Biochemists. Lecture 2 (1/12/11) Yoshitaka Ishii. Gas Ch. 1 Non-Ideal Gas (Ch 1 & Raff p21-41) Announcement Physical Cheistry I for Biocheists Che340 Lecture (1/1/11) Yoshitaka Ishii Gas Ch. 1 No-Ideal Gas (Ch 1 & Raff p1-41) Aouceet HW 1 is due et Wedesday before the class (Fid HW1 at the web site) Attedace

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data Lecture 9 Curve fittig I Itroductio Suppose we are preseted with eight poits of easured data (x i, y j ). As show i Fig. o the left, we could represet the uderlyig fuctio of which these data are saples

More information

3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials

3.2 Properties of Division 3.3 Zeros of Polynomials 3.4 Complex and Rational Zeros of Polynomials Math 60 www.timetodare.com 3. Properties of Divisio 3.3 Zeros of Polyomials 3.4 Complex ad Ratioal Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered

More information

DETERMINATION OF NATURAL FREQUENCY AND DAMPING RATIO

DETERMINATION OF NATURAL FREQUENCY AND DAMPING RATIO Hasa G Pasha DETERMINATION OF NATURAL FREQUENCY AND DAMPING RATIO OBJECTIVE Deterie the atural frequecy ad dapig ratio for a aluiu catilever bea, Calculate the aalytical value of the atural frequecy ad

More information

(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is

(c) Write, but do not evaluate, an integral expression for the volume of the solid generated when R is Calculus BC Fial Review Name: Revised 7 EXAM Date: Tuesday, May 9 Remiders:. Put ew batteries i your calculator. Make sure your calculator is i RADIAN mode.. Get a good ight s sleep. Eat breakfast. Brig:

More information

Sequences I. Chapter Introduction

Sequences I. Chapter Introduction Chapter 2 Sequeces I 2. Itroductio A sequece is a list of umbers i a defiite order so that we kow which umber is i the first place, which umber is i the secod place ad, for ay atural umber, we kow which

More information

6.4 Binomial Coefficients

6.4 Binomial Coefficients 64 Bioial Coefficiets Pascal s Forula Pascal s forula, aed after the seveteeth-cetury Frech atheaticia ad philosopher Blaise Pascal, is oe of the ost faous ad useful i cobiatorics (which is the foral ter

More information

Some remarks on the paper Some elementary inequalities of G. Bennett

Some remarks on the paper Some elementary inequalities of G. Bennett Soe rears o the paper Soe eleetary iequalities of G. Beett Dag Ah Tua ad Luu Quag Bay Vieta Natioal Uiversity - Haoi Uiversity of Sciece Abstract We give soe couterexaples ad soe rears of soe of the corollaries

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0, Math Activity 9( Due with Fial Eam) Usig first ad secod Taylor polyomials with remaider, show that for, 8 Usig a secod Taylor polyomial with remaider, fid the best costat C so that for, C 9 The th Derivative

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

Integrals of Functions of Several Variables

Integrals of Functions of Several Variables Itegrals of Fuctios of Several Variables We ofte resort to itegratios i order to deterie the exact value I of soe quatity which we are uable to evaluate by perforig a fiite uber of additio or ultiplicatio

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER 1 018/019 DR. ANTHONY BROWN 8. Statistics 8.1. Measures of Cetre: Mea, Media ad Mode. If we have a series of umbers the

More information

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A.

Random Walks on Discrete and Continuous Circles. by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN, U.S.A. Radom Walks o Discrete ad Cotiuous Circles by Jeffrey S. Rosethal School of Mathematics, Uiversity of Miesota, Mieapolis, MN, U.S.A. 55455 (Appeared i Joural of Applied Probability 30 (1993), 780 789.)

More information

Complex Numbers Solutions

Complex Numbers Solutions Complex Numbers Solutios Joseph Zoller February 7, 06 Solutios. (009 AIME I Problem ) There is a complex umber with imagiary part 64 ad a positive iteger such that Fid. [Solutio: 697] 4i + + 4i. 4i 4i

More information

Unit 6: Sequences and Series

Unit 6: Sequences and Series AMHS Hoors Algebra 2 - Uit 6 Uit 6: Sequeces ad Series 26 Sequeces Defiitio: A sequece is a ordered list of umbers ad is formally defied as a fuctio whose domai is the set of positive itegers. It is commo

More information

Chapter 7 z-transform

Chapter 7 z-transform Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time

More information

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle Similarity betwee quatum mechaics ad thermodyamics: Etropy, temperature, ad Carot cycle Sumiyoshi Abe 1,,3 ad Shiji Okuyama 1 1 Departmet of Physical Egieerig, Mie Uiversity, Mie 514-8507, Japa Istitut

More information

Supplementary Information

Supplementary Information Suppleetary Iforatio -Breakdow of cotiuu fracture echaics at the aoscale- Takahiro Shiada,,* Keji Ouchi, Yuu Chihara, ad Takayuki Kitaura Departet of echaical Egieerig ad Sciece, Kyoto Uiversity, Nishikyo-ku,

More information

The Binomial Multi-Section Transformer

The Binomial Multi-Section Transformer 4/15/2010 The Bioial Multisectio Matchig Trasforer preset.doc 1/24 The Bioial Multi-Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where:

More information

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting Statistics ad Data Aalysis i MATLAB Kedrick Kay, kedrick.kay@wustl.edu February 28, 2014 Lecture 4: Model fittig 1. The basics - Suppose that we have a set of data ad suppose that we have selected the

More information

The Discrete-Time Fourier Transform (DTFT)

The Discrete-Time Fourier Transform (DTFT) EEL: Discrete-Time Sigals ad Systems The Discrete-Time Fourier Trasorm (DTFT) The Discrete-Time Fourier Trasorm (DTFT). Itroductio I these otes, we itroduce the discrete-time Fourier trasorm (DTFT) ad

More information

FIR Filter Design: Part II

FIR Filter Design: Part II EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we cosider how we might go about desigig FIR filters with arbitrary frequecy resposes, through compositio of multiple sigle-peak

More information

Evaluation of Bessel Functions Using a Computer Program

Evaluation of Bessel Functions Using a Computer Program Evaluatio of Bessel Fuctios Usig a Coputer Progra P. S. Yeh, Ph.D. Abstract I cylidrical coordiate, there are two types of Bessel fuctios. These fuctios are the Bessel fuctio ad the odified Bessel fuctio.

More information

PARTIAL DIFFERENTIAL EQUATIONS SEPARATION OF VARIABLES

PARTIAL DIFFERENTIAL EQUATIONS SEPARATION OF VARIABLES Diola Bagayoko (0 PARTAL DFFERENTAL EQUATONS SEPARATON OF ARABLES. troductio As discussed i previous lectures, partial differetial equatios arise whe the depedet variale, i.e., the fuctio, varies with

More information

Notes The Incremental Motion Model:

Notes The Incremental Motion Model: The Icremetal Motio Model: The Jacobia Matrix I the forward kiematics model, we saw that it was possible to relate joit agles θ, to the cofiguratio of the robot ed effector T I this sectio, we will see

More information

10.2 Infinite Series Contemporary Calculus 1

10.2 Infinite Series Contemporary Calculus 1 10. Ifiite Series Cotemporary Calculus 1 10. INFINITE SERIES Our goal i this sectio is to add together the umbers i a sequece. Sice it would take a very log time to add together the ifiite umber of umbers,

More information

SECTION 2 Electrostatics

SECTION 2 Electrostatics SECTION Electrostatics This sectio, based o Chapter of Griffiths, covers effects of electric fields ad forces i static (timeidepedet) situatios. The topics are: Electric field Gauss s Law Electric potetial

More information

The Born-Oppenheimer approximation

The Born-Oppenheimer approximation The Bor-Oppeheimer approximatio 1 Re-writig the Schrödiger equatio We will begi from the full time-idepedet Schrödiger equatio for the eigestates of a molecular system: [ P 2 + ( Pm 2 + e2 1 1 2m 2m m

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors 5 Eigevalues ad Eigevectors 5.3 DIAGONALIZATION DIAGONALIZATION Example 1: Let. Fid a formula for A k, give that P 1 1 = 1 2 ad, where Solutio: The stadard formula for the iverse of a 2 2 matrix yields

More information

Problem Set 2 Solutions

Problem Set 2 Solutions CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S

More information

ENGI 9420 Engineering Analysis Assignment 3 Solutions

ENGI 9420 Engineering Analysis Assignment 3 Solutions ENGI 9 Egieerig Aalysis Assigmet Solutios Fall [Series solutio of ODEs, matri algebra; umerical methods; Chapters, ad ]. Fid a power series solutio about =, as far as the term i 7, to the ordiary differetial

More information

Largest families without an r-fork

Largest families without an r-fork Largest families without a r-for Aalisa De Bois Uiversity of Salero Salero, Italy debois@math.it Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohatoa@reyi.hu Itroductio Let [] = {,,..., } be a fiite

More information

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version]

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version] Math 4707 Sprig 08 Darij Griberg: idter page Math 4707 Sprig 08 Darij Griberg: idter with solutios [preliiary versio] Cotets 0.. Coutig first-eve tuples......................... 3 0.. Coutig legal paths

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information