On small defining sets for some SBIBD(4t - 1, 2t - 1, t - 1)

Size: px
Start display at page:

Download "On small defining sets for some SBIBD(4t - 1, 2t - 1, t - 1)"

Transcription

1 University f Wllngng Research Online Faculty f Infrmatics - Papers (Archive) Faculty f Engineering and Infrmatin Sciences 992 On small defining sets fr sme SBIBD(4t -, 2t -, t - ) Jennifer Seberry University f Wllngng, jennie@uw.edu.au Publicatin Details Seberry, J, On small defining sets fr sme SBIBD(4t-, 2t-, t-), Bulletin f the ICA, 4, 992, 58-62; crrigendum, Bulletin f the ICA, 6, 992, Research Online is the pen access institutinal repsitry fr the University f Wllngng. Fr further infrmatin cntact the UOW Library: research-pubs@uw.edu.au

2 On small defining sets fr sme SBIBD(4t -, 2t -, t - ) Abstract We cnjecture that 2t - specified sets f 2t - elements are enugh t define an SBIBD(4t -,2t -, t - ) when 4t - is a prime r prduct f twin primes. This means that in these cases 2t - rws are enugh t uniquely define the Hadamard matrix f rder 4t. We shw that the 2t - specified sets can be used t first find the residual BIBD(2t, 4t - 2, 2t -, t, t - ) fr 4t - prime. This can then be uniquely used t cmplete the SBIBD fr t =,2,3,5. This is remarkable as frmerly nly residual designs with λ = r 2 have been cmpletable t SBIBD. We nte that nt any set f elements will d as Marshall Hall Jr fund 3 sets frm 9 which culd nt be cmpleted t an (9,9,4). We will refer t a design and its incidence matrix, with treatments as rws and blcks as clumns, interchangeably. Disciplines Physical Sciences and Mathematics Publicatin Details Seberry, J, On small defining sets fr sme SBIBD(4t-, 2t-, t-), Bulletin f the ICA, 4, 992, 58-62; crrigendum, Bulletin f the ICA, 6, 992, This jurnal article is available at Research Online:

3 On small defining sets fr sme SBIBD(4t -, 2t -, t - ) Jennifer Seberry Department f Cmputer Science The University f New Suth Wales Australian Defence Frce Academy Canberra ACT 2600 AUSTRALIA Abstract We cnjecture that 2t - specified sets f 2t - elements are enugh t define an SBIBD(4t -,2t -, t - ) when 4t - is a prime r prduct f twin primes. This means that in these cases 2t - rws are enugh t uniquely define the Hadamard matrix f rder 4t. We shw that the 2t - specified sets can be used t first find the residual BIBD(2t,4t - 2, 2t -, t, t - ) fr 4t - prime. This can then be uniquely used t cmplete the SBIBD fr t =,2,3,5. This is remarkable as frmerly nly residual designs with A = r 2 have been cmpletable t SBIBD. We nte that nt any set f elements will d as Marshall Hall Jr fund 3 sets frm 9 which culd nt be cmpleted t an (9,9,4). We will refer t a design and its incidence matrix, with treatments as rws and blcks as clumns, interchangeably. Cnject ure Let D be the quadratic residues mdul a prime pwer 4t -. Then the residual design with treatments given by the sets D, D + d,.., D + d 2 - di E D, i =,..., 2t - can be extended, uniquely, up t permutatin f treatments using the link prperty j blcks j an SBIBD (inner prduct j the clumns) t Jrm em SBIBD(4' -,2t - l,t - ). Therem 2 The cnjecture is true fr t = 2,3,5. Prperties f given sets Write Ei = D + di, i =,... 2t - where D is the set f quadratic residues mdul 4t -. Lemma 0 D; lr any i =,...,2t-. Prf. The elements f Ei are dj + di where dj,d; E D are bth quadratic residues. If d J + di = 0 fr sme j, i then d j = -di, that is, a quadratic residue equals a quadratic nn residue. This is nt pssible fr primes 4t -. 0 Bulletin r the lea, Vlume 4 (992) 58-62

4 We nte frm cycltmy, writing D fr the set f quadratic residues, N fr the set f quadratic nn residues and fld, fln fr the cllectin f distinct differences between elements f D and N respectively, that fld = fln = (t - )(V/{O}) where V is the elements f GF(4t - ). V = DuN u {O}. Als fl(d-n) = (t-l)d+tn fl(n-d) = td+(t-l)n where fl(a - B) is the cllectin f elements [a - b: a E A,b E B]. () Lemma 2 E, E 2,..., E 2t - can be cmpleted t be the residual design BIBD(2t, 4t- 2,2t - l,t,t -) f an SBIBD(4t -,2t - l,t - ). Prf. Since the sets E;, i =,..., 2t - d nt cntain 0 they are defined n a set f size 4t - 2. Clearly they each cntain 2t - elements. We write dwn the 0, incidence matrix f the sets E; and btain a (2t - ) x (4t - 2) matrix, A, with 2t - nes per rw. We will nw shw A has t r t - elements per clumn and inner prduct between its rws exactly t -. We first shw that in thse clumns f A which represent a quadratic residue in sme E; there are t - nes and in thse which represent a quadratic nn residue there are t nes. Let dh be a quadratic residue then we ask hw many times is d; + dj = dh, d;, dj E D. That is, hw many times is dj = dh - d; fr fixed dj. Since D is the set f quadratic residues the equatin d j = dh - d; has t - slutins fr fixed dj. Hence the clumn f A which represents dj has t - nes. Next we cnsider the number f slutins f the equatin dj = -dh where (-dh ) is a quadratic nn residue. That is, hw many slutins are there t the equatin dj = (-dh) - d;, that is, the differences between a nn residue and a residue shuld be a residue. Equatin () frm the thery f cycltmy shws there are t slutins. We thus bserve that if we add anther rw t A which is in the clumns representing the quadratic residues we will have added the representatin f D and have a new matrix B which is 2t x (4t - 2), has 2t - nes per rw and t nes per clumn. T shw B is the required BIBD we need t shw that IEj n Ehl = IEj n DI = t - fr j, h =,..., 2t -. We first cnsider IEj n DI. Thus we want t knw hw many times an element dj + dh e Dj equals di e D, i :f: h. Hwever, di - dh = dj fr fixed d; and d; e {d,,d 2f - } has t - slutins. Hence IE; n DI = t -. Fr IEj n Ehl we need die + d; = d,l + dh, that is, the number f times w = dj - dh = dll - die has a slutin fr fixed dj, dh and this is again t -. Thus we have the required residual design BIBD(2t, 4t - 2, 2t -, t, t - ). 0 Example. ThesetsD={O,I,2,4,5,8,0}, D+l, D+2, D+4, D+5, D+ 8, D + 0 are defining sets fr an SBIBD(5, 7, 3). 59

5 Example. The 7 sets: Example. Let D = {d,d 2,...,d 2t -d be the quadratic residues. Then D + d;, i =,2,..., 2t - are defining sets mdul 4t -, which can be uniquely cmpleted t SBIBD(4t -,2t - l,t - ) and an Hadamard matrix f rder 4t (up t permutatin f rws) fr t = 2,3,5. Case t = 2: The sets are {2,3,5}, {3,4,6}, {5,6, I}. Let us write them as a (0, ) incidence matrix giving: U sing the fact that an SBIBD is a linked design, s each clumn has three nes and withut lss f generality the first clumn is (0,0,0,0,,, If, each ther clumn has ne in the last three rws, we see we can uniquely cmplete the furth rw s in each clumn we have a ttal f 2t - = 3 nes. S we have: Nte the furth rw is the incidence matrix f D the set f quadratic residues and the first 2t = 4 rws and 4t - 2 = 6 clumns is the incidence matrix f the residual BIBD( 4,6,3,2,). Withut lss f generality we chse the (5,) = (6,2) elements ne. The inner prducts f the rws and clumns nw uniquely cmplete the design. Case t = 3: Let D = {,3,4,5,9} be the quadratic residues mdul. Then D + d;, d; ED, i =,...,5 are defining sets giving, as befre with D the residual 60

6 design BIBD(5,0,4,3,2) = H: ; H= The first three clumns are easily cmpleted (up t permutatin f rws) and the inner prduct f the rws and clumns, as well as the rw and clumn sums, fix the remainder. Case t = 5: Let D be the quadratic residues and as befre use the sets D + d;, i =,...,9, d; E D. Again frm the incidence matrix and nte that withut lss f generality the first clumn can be written as 2t zers and 2t - nes in the 2t + t 4t - places. The fact that the SBIBD(9, 9, 4) is a linked design means each f the last 2t - rws has t - = 4 nes per clumn means the 2tth rw can be uniquely cmpleted t give a ttal f 2t - nes in each clumn f the design. Again the 2tth clmhn is the incidence matrix f D the set f quadratic residues. Nte the 2t x (4t - 2) matrix, which is the first 2t rws and the last 4t - 2 clumns, is the residual BIBD(2t,4t - 2, 2t -, t, t - ). It nw remains t shw the design can be uniquely cmpleted. \Ve have: H= ABCEFGHIJ 6

7 K= A B C E F G H I J Again we have unique cmpletin up t permutatin f rws., References [] M. Hall Jr. Private cmmunicatin, 977. [2] Ken Gray. Further results n smallest defining sets f well knwn designs. Austral. J. Cmbinatrics, :9-00,990. [3] Ken Gray. On the minimum number f blcks defining a design. Bull. Austral. Math. Sc., 4:97-2, 990. [4] Ken Gray. Special Subsets f the Blck Sets f Designs. PhD thesis, University f Queensland, 990. [5] Thmas Strer. Cycltmy and Difference Sets. Lectures in Advanced Mathematics. Markham, Chicag, 967. [6] T. Tsuzuku. Finite Grups and Finite Gemetries. Cambridge University Press, Cambridge, 982. [7] J.S. Wallis. Hadamard matrices. In Cmbinatrics: Rm Squares, sum-free sets and Hadamard matrices, vlume 292 f Lecture Ntes in Mathematics. Springer-Verlag, Berlin-Heidelberg-New Yrk, 972. Part IV f W.D. Wallis, Anne Penfld Street, and Jennifer Seberry Wallis. 62

On small defining sets for some SBIBD(4t-1, 2t-1, t-1)

On small defining sets for some SBIBD(4t-1, 2t-1, t-1) University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 992 On small defining sets for some SBIBD(4t-, 2t-, t-) Jennifer Seberry

More information

Public Key Cryptography. Tim van der Horst & Kent Seamons

Public Key Cryptography. Tim van der Horst & Kent Seamons Public Key Cryptgraphy Tim van der Hrst & Kent Seamns Last Updated: Oct 5, 2017 Asymmetric Encryptin Why Public Key Crypt is Cl Has a linear slutin t the key distributin prblem Symmetric crypt has an expnential

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

THE QUADRATIC AND QUARTIC CHARACTER OF CERTAIN QUADRATIC UNITS I PHILIP A. LEONARD AND KENNETH S. WILLIAMS

THE QUADRATIC AND QUARTIC CHARACTER OF CERTAIN QUADRATIC UNITS I PHILIP A. LEONARD AND KENNETH S. WILLIAMS PACFC JOURNAL OF MATHEMATCS Vl. 7, N., 977 THE QUADRATC AND QUARTC CHARACTER OF CERTAN QUADRATC UNTS PHLP A. LEONARD AND KENNETH S. WLLAMS Let ε m dente the fundamental unit f the real quadratic field

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department

More information

Lecture 24: Flory-Huggins Theory

Lecture 24: Flory-Huggins Theory Lecture 24: 12.07.05 Flry-Huggins Thery Tday: LAST TIME...2 Lattice Mdels f Slutins...2 ENTROPY OF MIXING IN THE FLORY-HUGGINS MODEL...3 CONFIGURATIONS OF A SINGLE CHAIN...3 COUNTING CONFIGURATIONS FOR

More information

A Simple Set of Test Matrices for Eigenvalue Programs*

A Simple Set of Test Matrices for Eigenvalue Programs* Simple Set f Test Matrices fr Eigenvalue Prgrams* By C. W. Gear** bstract. Sets f simple matrices f rder N are given, tgether with all f their eigenvalues and right eigenvectrs, and simple rules fr generating

More information

CHM112 Lab Graphing with Excel Grading Rubric

CHM112 Lab Graphing with Excel Grading Rubric Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline

More information

Experiment #3. Graphing with Excel

Experiment #3. Graphing with Excel Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-

More information

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving. Sectin 3.2: Many f yu WILL need t watch the crrespnding vides fr this sectin n MyOpenMath! This sectin is primarily fcused n tls t aid us in finding rts/zers/ -intercepts f plynmials. Essentially, ur fcus

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

Some matrices of Williamson type

Some matrices of Williamson type University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 1973 Some matrices of Williamson type Jennifer Seberry University of Wollongong,

More information

Five Whys How To Do It Better

Five Whys How To Do It Better Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex

More information

Physical Layer: Outline

Physical Layer: Outline 18-: Intrductin t Telecmmunicatin Netwrks Lectures : Physical Layer Peter Steenkiste Spring 01 www.cs.cmu.edu/~prs/nets-ece Physical Layer: Outline Digital Representatin f Infrmatin Characterizatin f Cmmunicatin

More information

THE FINITENESS OF THE MAPPING CLASS GROUP FOR ATOROIDAL 3-MANIFOLDS WITH GENUINE LAMINATIONS

THE FINITENESS OF THE MAPPING CLASS GROUP FOR ATOROIDAL 3-MANIFOLDS WITH GENUINE LAMINATIONS j. differential gemetry 50 (1998) 123-127 THE FINITENESS OF THE MAPPING CLASS GROUP FOR ATOROIDAL 3-MANIFOLDS WITH GENUINE LAMINATIONS DAVID GABAI & WILLIAM H. KAZEZ Essential laminatins were intrduced

More information

Matter Content from State Frameworks and Other State Documents

Matter Content from State Frameworks and Other State Documents Atms and Mlecules Mlecules are made f smaller entities (atms) which are bnded tgether. Therefre mlecules are divisible. Miscnceptin: Element and atm are synnyms. Prper cnceptin: Elements are atms with

More information

Math Foundations 20 Work Plan

Math Foundations 20 Work Plan Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant

More information

Bose's method of differences applied to construct Bhaskar Rao designs

Bose's method of differences applied to construct Bhaskar Rao designs University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 1998 Bose's method of differences applied to construct Bhaskar Rao designs

More information

Thermodynamics Partial Outline of Topics

Thermodynamics Partial Outline of Topics Thermdynamics Partial Outline f Tpics I. The secnd law f thermdynamics addresses the issue f spntaneity and invlves a functin called entrpy (S): If a prcess is spntaneus, then Suniverse > 0 (2 nd Law!)

More information

Copyright Paul Tobin 63

Copyright Paul Tobin 63 DT, Kevin t. lectric Circuit Thery DT87/ Tw-Prt netwrk parameters ummary We have seen previusly that a tw-prt netwrk has a pair f input terminals and a pair f utput terminals figure. These circuits were

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

Edexcel IGCSE Chemistry. Topic 1: Principles of chemistry. Chemical formulae, equations and calculations. Notes.

Edexcel IGCSE Chemistry. Topic 1: Principles of chemistry. Chemical formulae, equations and calculations. Notes. Edexcel IGCSE Chemistry Tpic 1: Principles f chemistry Chemical frmulae, equatins and calculatins Ntes 1.25 write wrd equatins and balanced chemical equatins (including state symbls): fr reactins studied

More information

(2) Even if such a value of k was possible, the neutrons multiply

(2) Even if such a value of k was possible, the neutrons multiply CHANGE OF REACTOR Nuclear Thery - Curse 227 POWER WTH REACTVTY CHANGE n this lessn, we will cnsider hw neutrn density, neutrn flux and reactr pwer change when the multiplicatin factr, k, r the reactivity,

More information

Homology groups of disks with holes

Homology groups of disks with holes Hmlgy grups f disks with hles THEOREM. Let p 1,, p k } be a sequence f distinct pints in the interir unit disk D n where n 2, and suppse that fr all j the sets E j Int D n are clsed, pairwise disjint subdisks.

More information

Chapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms

Chapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

LCAO APPROXIMATIONS OF ORGANIC Pi MO SYSTEMS The allyl system (cation, anion or radical).

LCAO APPROXIMATIONS OF ORGANIC Pi MO SYSTEMS The allyl system (cation, anion or radical). Principles f Organic Chemistry lecture 5, page LCAO APPROIMATIONS OF ORGANIC Pi MO SYSTEMS The allyl system (catin, anin r radical).. Draw mlecule and set up determinant. 2 3 0 3 C C 2 = 0 C 2 3 0 = -

More information

Pipetting 101 Developed by BSU CityLab

Pipetting 101 Developed by BSU CityLab Discver the Micrbes Within: The Wlbachia Prject Pipetting 101 Develped by BSU CityLab Clr Cmparisns Pipetting Exercise #1 STUDENT OBJECTIVES Students will be able t: Chse the crrect size micrpipette fr

More information

How do scientists measure trees? What is DBH?

How do scientists measure trees? What is DBH? Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between

More information

Competency Statements for Wm. E. Hay Mathematics for grades 7 through 12:

Competency Statements for Wm. E. Hay Mathematics for grades 7 through 12: Cmpetency Statements fr Wm. E. Hay Mathematics fr grades 7 thrugh 12: Upn cmpletin f grade 12 a student will have develped a cmbinatin f sme/all f the fllwing cmpetencies depending upn the stream f math

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Supplementary difference sets and optimal designs

Supplementary difference sets and optimal designs University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 1991 Supplementary difference sets and optimal designs Christos Koukouvinos

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins

More information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic. Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

PHYS 314 HOMEWORK #3

PHYS 314 HOMEWORK #3 PHYS 34 HOMEWORK #3 Due : 8 Feb. 07. A unifrm chain f mass M, lenth L and density λ (measured in k/m) hans s that its bttm link is just tuchin a scale. The chain is drpped frm rest nt the scale. What des

More information

Fall 2013 Physics 172 Recitation 3 Momentum and Springs

Fall 2013 Physics 172 Recitation 3 Momentum and Springs Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.

More information

2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS

2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS 2004 AP CHEMISTRY FREE-RESPONSE QUESTIONS 6. An electrchemical cell is cnstructed with an pen switch, as shwn in the diagram abve. A strip f Sn and a strip f an unknwn metal, X, are used as electrdes.

More information

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975 OTHER USES OF THE ICRH COUPL ING CO IL J. C. Sprtt Nvember 1975 -I,," PLP 663 Plasma Studies University f Wiscnsin These PLP Reprts are infrmal and preliminary and as such may cntain errrs nt yet eliminated.

More information

A solution of certain Diophantine problems

A solution of certain Diophantine problems A slutin f certain Diphantine prblems Authr L. Euler* E7 Nvi Cmmentarii academiae scientiarum Petrplitanae 0, 1776, pp. 8-58 Opera Omnia: Series 1, Vlume 3, pp. 05-17 Reprinted in Cmmentat. arithm. 1,

More information

A Matrix Representation of Panel Data

A Matrix Representation of Panel Data web Extensin 6 Appendix 6.A A Matrix Representatin f Panel Data Panel data mdels cme in tw brad varieties, distinct intercept DGPs and errr cmpnent DGPs. his appendix presents matrix algebra representatins

More information

Phys. 344 Ch 7 Lecture 8 Fri., April. 10 th,

Phys. 344 Ch 7 Lecture 8 Fri., April. 10 th, Phys. 344 Ch 7 Lecture 8 Fri., April. 0 th, 009 Fri. 4/0 8. Ising Mdel f Ferrmagnets HW30 66, 74 Mn. 4/3 Review Sat. 4/8 3pm Exam 3 HW Mnday: Review fr est 3. See n-line practice test lecture-prep is t

More information

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method. Lessn Plan Reach: Ask the students if they ever ppped a bag f micrwave ppcrn and nticed hw many kernels were unppped at the bttm f the bag which made yu wnder if ther brands pp better than the ne yu are

More information

SPH3U1 Lesson 06 Kinematics

SPH3U1 Lesson 06 Kinematics PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.

More information

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical mdel fr micrarray data analysis David Rssell Department f Bistatistics M.D. Andersn Cancer Center, Hustn, TX 77030, USA rsselldavid@gmail.cm

More information

(for students at grades 7 and 8, Gymnasium)

(for students at grades 7 and 8, Gymnasium) Kanguru Sans Frntières Kanguru Maths 009 Level: 7-8 (fr students at grades 7 and 8, Gymnasium) pints questins: ) Amng these numbers, which ne is even? 009 9 Β) 008 + 009 C) 000 9 D) 000 9 Ε) 000 + 9 )

More information

Lyapunov Stability Stability of Equilibrium Points

Lyapunov Stability Stability of Equilibrium Points Lyapunv Stability Stability f Equilibrium Pints 1. Stability f Equilibrium Pints - Definitins In this sectin we cnsider n-th rder nnlinear time varying cntinuus time (C) systems f the frm x = f ( t, x),

More information

ANSWER KEY FOR MATH 10 SAMPLE EXAMINATION. Instructions: If asked to label the axes please use real world (contextual) labels

ANSWER KEY FOR MATH 10 SAMPLE EXAMINATION. Instructions: If asked to label the axes please use real world (contextual) labels ANSWER KEY FOR MATH 10 SAMPLE EXAMINATION Instructins: If asked t label the axes please use real wrld (cntextual) labels Multiple Chice Answers: 0 questins x 1.5 = 30 Pints ttal Questin Answer Number 1

More information

CONSTRUCTING STATECHART DIAGRAMS

CONSTRUCTING STATECHART DIAGRAMS CONSTRUCTING STATECHART DIAGRAMS The fllwing checklist shws the necessary steps fr cnstructing the statechart diagrams f a class. Subsequently, we will explain the individual steps further. Checklist 4.6

More information

Principles of Organic Chemistry lecture 5, page 1

Principles of Organic Chemistry lecture 5, page 1 Principles f Organic Chemistry lecture 5, page 1 Bnding Mdels Fact: electrns hld mlecules tgether. Theries: mre than ne way t cnceptualize bnding. Let s fllw Carrll in the cnsideratin f tw theries f bnding.

More information

Pre-Calculus Individual Test 2017 February Regional

Pre-Calculus Individual Test 2017 February Regional The abbreviatin NOTA means Nne f the Abve answers and shuld be chsen if chices A, B, C and D are nt crrect. N calculatr is allwed n this test. Arcfunctins (such as y = Arcsin( ) ) have traditinal restricted

More information

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10] EECS 270, Winter 2017, Lecture 3 Page 1 f 6 Medium Scale Integrated (MSI) devices [Sectins 2.9 and 2.10] As we ve seen, it s smetimes nt reasnable t d all the design wrk at the gate-level smetimes we just

More information

Determining the Accuracy of Modal Parameter Estimation Methods

Determining the Accuracy of Modal Parameter Estimation Methods Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system

More information

Chapter 2 GAUSS LAW Recommended Problems:

Chapter 2 GAUSS LAW Recommended Problems: Chapter GAUSS LAW Recmmended Prblems: 1,4,5,6,7,9,11,13,15,18,19,1,7,9,31,35,37,39,41,43,45,47,49,51,55,57,61,6,69. LCTRIC FLUX lectric flux is a measure f the number f electric filed lines penetrating

More information

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~ Sectin 6-2: Simplex Methd: Maximizatin with Prblem Cnstraints f the Frm ~ Nte: This methd was develped by Gerge B. Dantzig in 1947 while n assignment t the U.S. Department f the Air Frce. Definitin: Standard

More information

The Equation αsin x+ βcos family of Heron Cyclic Quadrilaterals

The Equation αsin x+ βcos family of Heron Cyclic Quadrilaterals The Equatin sin x+ βcs x= γ and a family f Hern Cyclic Quadrilaterals Knstantine Zelatr Department Of Mathematics Cllege Of Arts And Sciences Mail Stp 94 University Of Tled Tled,OH 43606-3390 U.S.A. Intrductin

More information

We can see from the graph above that the intersection is, i.e., [ ).

We can see from the graph above that the intersection is, i.e., [ ). MTH 111 Cllege Algebra Lecture Ntes July 2, 2014 Functin Arithmetic: With nt t much difficulty, we ntice that inputs f functins are numbers, and utputs f functins are numbers. S whatever we can d with

More information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 2010 Motion with Constant Acceleration Experiment 1 . Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin

More information

Semester 2 AP Chemistry Unit 12

Semester 2 AP Chemistry Unit 12 Cmmn In Effect and Buffers PwerPint The cmmn in effect The shift in equilibrium caused by the additin f a cmpund having an in in cmmn with the disslved substance The presence f the excess ins frm the disslved

More information

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law Sectin 5.8 Ntes Page 1 5.8 Expnential Grwth and Decay Mdels; Newtn s Law There are many applicatins t expnential functins that we will fcus n in this sectin. First let s lk at the expnential mdel. Expnential

More information

NOTE ON APPELL POLYNOMIALS

NOTE ON APPELL POLYNOMIALS NOTE ON APPELL POLYNOMIALS I. M. SHEFFER An interesting characterizatin f Appell plynmials by means f a Stieltjes integral has recently been given by Thrne. 1 We prpse t give a secnd such representatin,

More information

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018 Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and

More information

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y ) (Abut the final) [COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t m a k e s u r e y u a r e r e a d y ) The department writes the final exam s I dn't really knw what's n it and I can't very well

More information

Revisiting the Socrates Example

Revisiting the Socrates Example Sectin 1.6 Sectin Summary Valid Arguments Inference Rules fr Prpsitinal Lgic Using Rules f Inference t Build Arguments Rules f Inference fr Quantified Statements Building Arguments fr Quantified Statements

More information

Chapter 8 Predicting Molecular Geometries

Chapter 8 Predicting Molecular Geometries Chapter 8 Predicting Mlecular Gemetries 8-1 Mlecular shape The Lewis diagram we learned t make in the last chapter are a way t find bnds between atms and lne pais f electrns n atms, but are nt intended

More information

Cambridge Assessment International Education Cambridge Ordinary Level. Published

Cambridge Assessment International Education Cambridge Ordinary Level. Published Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid

More information

MATHEMATICS SYLLABUS SECONDARY 5th YEAR

MATHEMATICS SYLLABUS SECONDARY 5th YEAR Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE

More information

Abstract. x )-elationj and. Australasian Journal of Combinatorics 3(1991) pp

Abstract. x )-elationj and. Australasian Journal of Combinatorics 3(1991) pp Abstract x )-elatinj and f this paper frm part f a PhD thesis submitted the authr t the "",,,,,,.,.,,,,,t,, f Lndn. The authr the supprt f the Cmmnwealth :::;c.hjlarsrup Cmmissin. Australasian Jurnal f

More information

Example 1. A robot has a mass of 60 kg. How much does that robot weigh sitting on the earth at sea level? Given: m. Find: Relationships: W

Example 1. A robot has a mass of 60 kg. How much does that robot weigh sitting on the earth at sea level? Given: m. Find: Relationships: W Eample 1 rbt has a mass f 60 kg. Hw much des that rbt weigh sitting n the earth at sea level? Given: m Rbt = 60 kg ind: Rbt Relatinships: Slutin: Rbt =589 N = mg, g = 9.81 m/s Rbt = mrbt g = 60 9. 81 =

More information

Compressibility Effects

Compressibility Effects Definitin f Cmpressibility All real substances are cmpressible t sme greater r lesser extent; that is, when yu squeeze r press n them, their density will change The amunt by which a substance can be cmpressed

More information

Lecture 17: Free Energy of Multi-phase Solutions at Equilibrium

Lecture 17: Free Energy of Multi-phase Solutions at Equilibrium Lecture 17: 11.07.05 Free Energy f Multi-phase Slutins at Equilibrium Tday: LAST TIME...2 FREE ENERGY DIAGRAMS OF MULTI-PHASE SOLUTIONS 1...3 The cmmn tangent cnstructin and the lever rule...3 Practical

More information

Accelerated Chemistry POGIL: Half-life

Accelerated Chemistry POGIL: Half-life Name: Date: Perid: Accelerated Chemistry POGIL: Half-life Why? Every radiistpe has a characteristic rate f decay measured by its half-life. Half-lives can be as shrt as a fractin f a secnd r as lng as

More information

Keysight Technologies Understanding the Kramers-Kronig Relation Using A Pictorial Proof

Keysight Technologies Understanding the Kramers-Kronig Relation Using A Pictorial Proof Keysight Technlgies Understanding the Kramers-Krnig Relatin Using A Pictrial Prf By Clin Warwick, Signal Integrity Prduct Manager, Keysight EEsf EDA White Paper Intrductin In principle, applicatin f the

More information

CHEM 103 Calorimetry and Hess s Law

CHEM 103 Calorimetry and Hess s Law CHEM 103 Calrimetry and Hess s Law Lecture Ntes March 23, 2006 Prf. Sevian Annuncements Exam #2 is next Thursday, March 30 Study guide, practice exam, and practice exam answer key are already psted n the

More information

CMU Noncooperative games 3: Price of anarchy. Teacher: Ariel Procaccia

CMU Noncooperative games 3: Price of anarchy. Teacher: Ariel Procaccia CMU 15-896 Nncperative games 3: Price f anarchy Teacher: Ariel Prcaccia Back t prisn The nly Nash equilibrium in Prisner s dilemma is bad; but hw bad is it? Objective functin: scial cst = sum f csts NE

More information

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.

More information

Electric Current and Resistance

Electric Current and Resistance Electric Current and Resistance Electric Current Electric current is the rate f flw f charge thrugh sme regin f space The SI unit f current is the ampere (A) 1 A = 1 C / s The symbl fr electric current

More information

Verification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance

Verification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance Verificatin f Quality Parameters f a Slar Panel and Mdificatin in Frmulae f its Series Resistance Sanika Gawhane Pune-411037-India Onkar Hule Pune-411037- India Chinmy Kulkarni Pune-411037-India Ojas Pandav

More information

Floating Point Method for Solving Transportation. Problems with Additional Constraints

Floating Point Method for Solving Transportation. Problems with Additional Constraints Internatinal Mathematical Frum, Vl. 6, 20, n. 40, 983-992 Flating Pint Methd fr Slving Transprtatin Prblems with Additinal Cnstraints P. Pandian and D. Anuradha Department f Mathematics, Schl f Advanced

More information

" 1 = # $H vap. Chapter 3 Problems

 1 = # $H vap. Chapter 3 Problems Chapter 3 rblems rblem At 1 atmsphere pure Ge melts at 1232 K and bils at 298 K. he triple pint ccurs at =8.4x1-8 atm. Estimate the heat f vaprizatin f Ge. he heat f vaprizatin is estimated frm the Clausius

More information

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) > Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);

More information

Lecture 7: Damped and Driven Oscillations

Lecture 7: Damped and Driven Oscillations Lecture 7: Damped and Driven Oscillatins Last time, we fund fr underdamped scillatrs: βt x t = e A1 + A csω1t + i A1 A sinω1t A 1 and A are cmplex numbers, but ur answer must be real Implies that A 1 and

More information

LHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers

LHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers LHS Mathematics Department Hnrs Pre-alculus Final Eam nswers Part Shrt Prblems The table at the right gives the ppulatin f Massachusetts ver the past several decades Using an epnential mdel, predict the

More information

Math Final Exam Instructor: Ken Schultz April 28, 2006

Math Final Exam Instructor: Ken Schultz April 28, 2006 Name Math 1650.300 Final Exam Instructr: Ken Schultz April 8, 006 Exam Guidelines D nt pen this exam until are instructed t begin. Fllw all instructins explicitly. Befre yu begin wrking, make sure yur

More information

An infinite family of skew weighing matrices

An infinite family of skew weighing matrices University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 1976 An infinite family of skew weighing matrices Peter Eades Jennifer

More information

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects Pressure And Entrpy Variatins Acrss The Weak Shck Wave Due T Viscsity Effects OSTAFA A. A. AHOUD Department f athematics Faculty f Science Benha University 13518 Benha EGYPT Abstract:-The nnlinear differential

More information

A Transition to Advanced Mathematics. Mathematics and Computer Sciences Department. o Work Experience, General. o Open Entry/Exit

A Transition to Advanced Mathematics. Mathematics and Computer Sciences Department. o Work Experience, General. o Open Entry/Exit SECTION A - Curse Infrmatin 1. Curse ID: 2. Curse Title: 3. Divisin: 4. Department: MATH 245 A Transitin t Advanced Mathematics Natural Sciences Divisin Mathematics and Cmputer Sciences Department 5. Subject:

More information

Thermodynamics and Equilibrium

Thermodynamics and Equilibrium Thermdynamics and Equilibrium Thermdynamics Thermdynamics is the study f the relatinship between heat and ther frms f energy in a chemical r physical prcess. We intrduced the thermdynamic prperty f enthalpy,

More information

T Algorithmic methods for data mining. Slide set 6: dimensionality reduction

T Algorithmic methods for data mining. Slide set 6: dimensionality reduction T-61.5060 Algrithmic methds fr data mining Slide set 6: dimensinality reductin reading assignment LRU bk: 11.1 11.3 PCA tutrial in mycurses (ptinal) ptinal: An Elementary Prf f a Therem f Jhnsn and Lindenstrauss,

More information

Name: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment

Name: Block: Date: Science 10: The Great Geyser Experiment A controlled experiment Science 10: The Great Geyser Experiment A cntrlled experiment Yu will prduce a GEYSER by drpping Ments int a bttle f diet pp Sme questins t think abut are: What are yu ging t test? What are yu ging t measure?

More information

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!)

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!) The Law f Ttal Prbability, Bayes Rule, and Randm Variables (Oh My!) Administrivia Hmewrk 2 is psted and is due tw Friday s frm nw If yu didn t start early last time, please d s this time. Gd Milestnes:

More information

NOTES. Name: Date: Topic: Periodic Table & Atoms Notes. Period: Matter

NOTES. Name: Date: Topic: Periodic Table & Atoms Notes. Period: Matter NOTES Unit: Tpic: Peridic Table & Atms Ntes Name: Date: Perid: Matter Atmic Structure The term matter describes all f the physical substances arund us. Matter is anything that has mass and takes up space.

More information

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came. MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the

More information

Introduction to Spacetime Geometry

Introduction to Spacetime Geometry Intrductin t Spacetime Gemetry Let s start with a review f a basic feature f Euclidean gemetry, the Pythagrean therem. In a twdimensinal crdinate system we can relate the length f a line segment t the

More information

Kinematic transformation of mechanical behavior Neville Hogan

Kinematic transformation of mechanical behavior Neville Hogan inematic transfrmatin f mechanical behavir Neville Hgan Generalized crdinates are fundamental If we assume that a linkage may accurately be described as a cllectin f linked rigid bdies, their generalized

More information

Tutorial 3: Building a spectral library in Skyline

Tutorial 3: Building a spectral library in Skyline SRM Curse 2013 Tutrial 3 Spectral Library Tutrial 3: Building a spectral library in Skyline Spectral libraries fr SRM methd design and fr data analysis can be either directly added t a Skyline dcument

More information

Session #22: Homework Solutions

Session #22: Homework Solutions Sessin #22: Hmewrk Slutins Prblem #1 (a) In the cntext f amrphus inrganic cmpunds, name tw netwrk frmers, tw netwrk mdifiers, and ne intermediate. (b) Sketch the variatin f mlar vlume with temperature

More information

An Introduction to Matrix Algebra

An Introduction to Matrix Algebra Mdern Cntrl Systems, Eleventh Editin, by Richard C Drf and Rbert H. Bish. ISBN: 785. 8 Pearsn Educatin, Inc., Uer Saddle River, NJ. All rights reserved. APPENDIX E An Intrductin t Matrix Algebra E. DEFINITIONS

More information