Analysis of Deutsch-Jozsa Quantum Algorithm

Size: px
Start display at page:

Download "Analysis of Deutsch-Jozsa Quantum Algorithm"

Transcription

1 Aalysis of Deutsch-Jozsa Quatum Algorithm Zhegju Cao Jeffrey Uhlma Lihua Liu 3 Abstract. Deutsch-Jozsa quatum algorithm is of great importace to quatum computatio. It directly ispired Shor s factorig algorithm. I this ote we remark that Deutsch-Jozsa algorithm has cofused two uitary trasformatios: oe is performed o a pure state the other is performed o a superpositio. I the past decades o costructive specificatio o the essetial uitary operator performed o a superpositio has bee foud. Thus we thik the algorithm eeds more specificatios so as to facilitate the costructio of the wated quatum oracle. Keywords: quatum computig Deutsch-Jozsa algorithm Shor s algorithm superpositio. Itroductio Deutsch-Jozsa algorithm 5 is oe of the first examples of a quatum algorithm that is expoetially faster tha ay possible determiistic classical algorithm. The algorithm has become the corerstoe for quatum computatio ad ispired Grover s algorithm 7 ad Shor s algorithm 3. I this ote we wat to poit out that Deutsch-Jozsa algorithm has cofused two uitary trasformatios: oe is performed o a pure state the other is performed o a superpositio. So far o costructive specificatios o the essetial uitary trasformatio performed o a superpositio have bee foud. We believe this fact reders the algorithm somewhat dubious. Prelimiaries A qubit is a quatum state Ψ of the form Ψ = a 0 + b where the amplitudes a b C such that a + b = 0 ad are basis vectors of the Hilbert space. Two quatum mechaical systems are combied usig the tesor product. For example a system of two Departmet of Mathematics Shaghai Uiversity Shaghai Chia. Departmet of Computer Sciece Uiversity of Missouri Columbia USA. 3 Departmet of Mathematics Shaghai Maritime Uiversity Shaghai 0306 Chia. liulh@shmtu.edu.c

2 qubits Ψ = a 0 + a ad Φ = b 0 + b ca be writte as a ( ) ( ) b a b a b Ψ Φ = = a b a b a b Its shorthad otatio is Ψ Φ. Operatios o a qubit are described by uitary matrices. Of these the most importat is the Hadamard gate H =. Clearly H 0 = ( 0 + ) H = = I. 0 3 Deutsch-Jozsa quatum algorithm Let f : {0 } {0 }. The Deutsch-Jozsa algorithm eeds a quatum oracle computig f(x) from x which does t decohere x. It begis with the + bit state 0. That is the first qubits are each i the state 0 ad the fial qubit is i the state. A Hadamard gate is applied to each qubit to obtai the followig state H (+) : 0 x ( 0 ). () + Suppose that the oracle U f : x y x y f(x) is available where is additio modulo. Applyig the quatum oracle it gives W : x ( 0 ) x ( f(x) f(x) ). () + + For each x f(x) is either 0 or. The state ca be writte as + ( )f(x) x ( 0 ). Igorig the last qubit ad applyig the Hadamard gate to each of the first qubits it gives H : ( ) f(x) x ( ) f(x) ( ) x y y (3) where x y = x 0 y 0 x y x y is the sum of the bitwise product. The above ew superpositio ca be writte as ( ) f(x) ( ) x y y. The probability for measurig the state 0 is ( )f(x).

3 4 Aalysis of Deutsch-Jozsa algorithm The process of Deutsch-Jozsa algorithm ca be described as follows 00 }{{ 0} H (+) x ( 0 ) + W x ( f(x) f(x) ) + igorig the last qubit ad obtaiig the state H ( ) f(x) ( ) f(x) x ( ) x y y observig the state ad obtaiig its probability } 00 {{ 0 }. 4. How to practically costruct the oracle performed o a pure state I Deutsch-Jozsa algorithm the quatum oracle U f : x y x y f(x) must be of the form U f = I V f where I is the idetity matrix ad V f is a uitary matrix. X X X X Suppose that V f =. We have V f y = y = y f(x). If y = 0 X 3 X 4 X 3 X 4 the 0 = ( ) ( 0. It gives X ) X 3 = f(x). Sice f(x) {0 } we obtai X X 3 {0 }. If y = the = ( ) ( 0. It gives X ) X 4 = f(x). Sice f(x) {0 } we obtai X X 4 {0 }. Thus V f is i the set { Clearly to determie V f oe has to ivoke the classical computatioal result f(x). That meas the uitary matrix V f should be further specified as V f(x). The otatio is very useful because it idicates the costructive specificatio of the ivolved uitary matrix. So it is better to rewrite the quatum oracle as U f(x) = I V f(x). Note that the costructio of the oracle depeds essetially o the classical computatioal result f(x). Besides the oracle is performed o the pure state x y. }. 3

4 4. Is it possible to costruct the oracle performed o a superpositio The uitary operator W is performed o the superpositio x ( 0 ) ad keeps the states of the first qubits. Hece it ca be decomposed as W = I Γ where Γ is a uitary matrix. By the descriptio of Deutsch-Jozsa algorithm we have + W = I Γ = U f(x) = I V f(x). That meas oe has to extract a classical computatioal result f(x) from the superpositio + x ( 0 ) i order to costruct the operator W practically. Sice x rus through all values 0 oe has to measure the superpositio so as to obtai a value ˆx. Oce the value ˆx is measured applyig W = I V f(ˆx) to + produce oe state of the followig 0 x ( 0 ) or x ( 0 ) or x ( 0 ) or or x ( 0 ) or + ot the wated state x ( f(x) f(x) ). x x x ( 0 ) will ( 0 ) ( 0 ) All i all it has cofused a quatum oracle performed o a pure state with a quatum oracle performed o a superpositio. We ow wat to ask: is it possible to costruct the wated oracle performed o the superpositio? Fially we would like to stress that oly the Hadamard gate H is applied to each of the first qubits twice. Sice H = I we fid the algorithm always produces the state 00 }{{ 0} χ where χ {0 }. The claim that the probability for the state 0 is ( )f(x) is icorrect. 5 Coclusio We poit out that there are some flaws i Deutsch-Jozsa algorithm. We would like to stress that the costructio of a uitary operator performed o a superpositio must be compatible with tesor product which describes the combiatio of two quatum systems. Some physical 4

5 experimets o Shor s algorithm are criticized for usig less qubits i the secod register ad other deficiecies 3. So far those so-called quatum computers D-wave 6 ad IBM 9 have bee reported to optimize some combiatoric problems oly ot accelerate ay umerical computatios. We thik Deutsch-Jozsa algorithm eeds more specificatios so as to facilitate the costructio of the wated quatum oracle ad check its correctess. 6 Ackowledgemets We thak the Natioal Natural Sciece Foudatio of Chia ( ). Refereces Z.J. Cao ad Z.F. Cao: O Shor s Factorig Algorithm with More Registers ad the Problem to Certify Quatum Computers. IACR Cryptology eprit Archive 04: 7 (04) Z.J. Cao Z.F. Cao ad L.H. Liu: Remarks o Quatum Modular Expoetiatio ad Some Experimetal Demostratios of Shor s Algorithm. IACR Cryptology eprit Archive 04: 88 (04) 3 Z.J. Cao Z.F. Cao ad L.H. Liu: Commet o Demostratios of Shor s Algorithm i the Past Decades. IACR Cryptology eprit Archive 05: 07 (05) 4 A. Dag et al.: Optimisig Matrix Product State Simulatios of Shor s Algorithm arxiv:7.073v (07) 5 D. Deutsch ad R. Jozsa: Rapid solutios of problems by quatum computatio. Proceedigs of the Royal Society of Lodo A (99) 6 D-Wave Systems PDF D-Wave%0000Q%0Tech%0Collateral_07F.pdf 7 L. K. Grover: A fast quatum mechaical algorithm for database search. Proceedigs of the Twety- Eighth Aual ACM Symposium o Theory of Computig. pp. C9 (996) 8 E. Lucero et al.: Computig prime factors with a Josephso phase qubit quatum processor. Nature Physics arxiv: (0) C.Y. Lu et al.: Demostratio of a Compiled Versio of Shor s Quatum Factorig Algorithm Usig Photoic Qubits Physical Review Letters 99 (5): arxiv: (007) B. Layo et al.: Experimetal Demostratio of a Compiled Versio of Shor s Algorithm with Quatum Etaglemet Physical Review Letters 99 (5): arxiv: (007) E. Martí-López et al.: Experimetal realizatio of Shor s quatum factorig algorithm usig qubit recyclig. Nature Photoics. doi:0.038/photo.0.59 (0) 3 P. Shor: Polyomial-time algorithms for prime factorizatio ad discrete logarithms o a quatum computer. SIAM J. Comput. 6 (5): (997) 4 L. Vadersype et al.: Experimetal realizatio of Shor s quatum factorig algorithm usig uclear magetic resoace Nature 44 (6866): arxiv:quat-ph/076 (00) 5

Quantum Computing Lecture 7. Quantum Factoring

Quantum Computing Lecture 7. Quantum Factoring Quatum Computig Lecture 7 Quatum Factorig Maris Ozols Quatum factorig A polyomial time quatum algorithm for factorig umbers was published by Peter Shor i 1994. Polyomial time meas that the umber of gates

More information

Quantum Information & Quantum Computation

Quantum Information & Quantum Computation CS9A, Sprig 5: Quatum Iformatio & Quatum Computatio Wim va Dam Egieerig, Room 59 vadam@cs http://www.cs.ucsb.edu/~vadam/teachig/cs9/ Admiistrivia Do the exercises. Aswers will be posted at the ed of the

More information

Remarks on Quantum Modular Exponentiation and Some Experimental Demonstrations of Shor s Algorithm

Remarks on Quantum Modular Exponentiation and Some Experimental Demonstrations of Shor s Algorithm Remarks o Quatum Modular Epoetiatio ad Some Eperimetal Demostratios of Shor s Algorithm Zhegju Cao,, Zhefu Cao,,3 Lihua Liu 4 Abstract. A efficiet uatum modular epoetiatio method is idispesible for Shor

More information

Last time, we talked about how Equation (1) can simulate Equation (2). We asserted that Equation (2) can also simulate Equation (1).

Last time, we talked about how Equation (1) can simulate Equation (2). We asserted that Equation (2) can also simulate Equation (1). 6896 Quatum Complexity Theory Sept 23, 2008 Lecturer: Scott Aaroso Lecture 6 Last Time: Quatum Error-Correctio Quatum Query Model Deutsch-Jozsa Algorithm (Computes x y i oe query) Today: Berstei-Vazirii

More information

C/CS/Phys C191 Deutsch and Deutsch-Josza algorithms 10/20/07 Fall 2007 Lecture 17

C/CS/Phys C191 Deutsch and Deutsch-Josza algorithms 10/20/07 Fall 2007 Lecture 17 C/CS/Phs C9 Deutsch ad Deutsch-Josza algorithms 0/0/07 Fall 007 Lecture 7 Readigs Beeti et al., Ch. 3.9-3.9. Stolze ad Suter, Quatum Computig, Ch. 8. - 8..5) Nielse ad Chuag, Quatum Computatio ad Quatum

More information

Notes for Lecture 5. 1 Grover Search. 1.1 The Setting. 1.2 Motivation. Lecture 5 (September 26, 2018)

Notes for Lecture 5. 1 Grover Search. 1.1 The Setting. 1.2 Motivation. Lecture 5 (September 26, 2018) COS 597A: Quatum Cryptography Lecture 5 (September 6, 08) Lecturer: Mark Zhadry Priceto Uiversity Scribe: Fermi Ma Notes for Lecture 5 Today we ll move o from the slightly cotrived applicatios of quatum

More information

Lecture 2 Clustering Part II

Lecture 2 Clustering Part II COMS 4995: Usupervised Learig (Summer 8) May 24, 208 Lecture 2 Clusterig Part II Istructor: Nakul Verma Scribes: Jie Li, Yadi Rozov Today, we will be talkig about the hardess results for k-meas. More specifically,

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

Properties and Tests of Zeros of Polynomial Functions

Properties and Tests of Zeros of Polynomial Functions Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by

More information

The Binomial Theorem

The Binomial Theorem The Biomial Theorem Robert Marti Itroductio The Biomial Theorem is used to expad biomials, that is, brackets cosistig of two distict terms The formula for the Biomial Theorem is as follows: (a + b ( k

More information

CHAPTER 5. Theory and Solution Using Matrix Techniques

CHAPTER 5. Theory and Solution Using Matrix Techniques A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL

More information

arxiv: v1 [math-ph] 5 Jul 2017

arxiv: v1 [math-ph] 5 Jul 2017 O eigestates for some sl 2 related Hamiltoia arxiv:1707.01193v1 [math-ph] 5 Jul 2017 Fahad M. Alamrai Faculty of Educatio Sciece Techology & Mathematics, Uiversity of Caberra, Bruce ACT 2601, Australia.,

More information

A Simplified Binet Formula for k-generalized Fibonacci Numbers

A Simplified Binet Formula for k-generalized Fibonacci Numbers A Simplified Biet Formula for k-geeralized Fiboacci Numbers Gregory P. B. Dresde Departmet of Mathematics Washigto ad Lee Uiversity Lexigto, VA 440 dresdeg@wlu.edu Zhaohui Du Shaghai, Chia zhao.hui.du@gmail.com

More information

7. Modern Techniques. Data Encryption Standard (DES)

7. Modern Techniques. Data Encryption Standard (DES) 7. Moder Techiques. Data Ecryptio Stadard (DES) The objective of this chapter is to illustrate the priciples of moder covetioal ecryptio. For this purpose, we focus o the most widely used covetioal ecryptio

More information

Notes on Quantum Computing

Notes on Quantum Computing Notes o Quatum Computig Maris Ozols May 0, 01 Cotets 1 Mathematics of quatum iformatio 1.1 Basics................................. 1.1.1 Bell basis, teleportatoi ad superdese codig...... 1.1. Measuremets........................

More information

Estimation of Backward Perturbation Bounds For Linear Least Squares Problem

Estimation of Backward Perturbation Bounds For Linear Least Squares Problem dvaced Sciece ad Techology Letters Vol.53 (ITS 4), pp.47-476 http://dx.doi.org/.457/astl.4.53.96 Estimatio of Bacward Perturbatio Bouds For Liear Least Squares Problem Xixiu Li School of Natural Scieces,

More information

Quantum Computing - A new Implementation of Simon Algorithm for 3-Dimensional Registers

Quantum Computing - A new Implementation of Simon Algorithm for 3-Dimensional Registers Joural of Applied Computer Sciece & Mathematics, o. 9 (9) /5, Suceava Quatum Computig - A ew Implemetatio of Simo Algorithm for -Dimesioal Registers Adia BĂRÎLĂ Ștefa cel Mare Uiversity of Suceava, Romaia

More information

Building an NMR Quantum Computer

Building an NMR Quantum Computer Buildig a NMR Quatum Computer Spi, the Ster-Gerlach Experimet, ad the Bloch Sphere Kevi Youg Berkeley Ceter for Quatum Iformatio ad Computatio, Uiversity of Califoria, Berkeley, CA 9470 Scalable ad Secure

More information

MATH 472 / SPRING 2013 ASSIGNMENT 2: DUE FEBRUARY 4 FINALIZED

MATH 472 / SPRING 2013 ASSIGNMENT 2: DUE FEBRUARY 4 FINALIZED MATH 47 / SPRING 013 ASSIGNMENT : DUE FEBRUARY 4 FINALIZED Please iclude a cover sheet that provides a complete setece aswer to each the followig three questios: (a) I your opiio, what were the mai ideas

More information

Topic 9: Sampling Distributions of Estimators

Topic 9: Sampling Distributions of Estimators Topic 9: Samplig Distributios of Estimators Course 003, 2016 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be

More information

AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS

AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS http://www.paper.edu.c Iteratioal Joural of Bifurcatio ad Chaos, Vol. 1, No. 5 () 119 15 c World Scietific Publishig Compay AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

arxiv:quant-ph/ v1 21 Jan 1998

arxiv:quant-ph/ v1 21 Jan 1998 Noliear quatum mechaics implies polyomial-time solutio for NP-complete ad #P problems arxiv:quat-ph/98004v Ja 998 Daiel S. Abrams Departmet of Physics, MIT -8b Cambridge, MA 039 (abrams@mit.edu) Seth Lloyd

More information

Some remarks for codes and lattices over imaginary quadratic

Some remarks for codes and lattices over imaginary quadratic Some remarks for codes ad lattices over imagiary quadratic fields Toy Shaska Oaklad Uiversity, Rochester, MI, USA. Caleb Shor Wester New Eglad Uiversity, Sprigfield, MA, USA. shaska@oaklad.edu Abstract

More information

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices

A Hadamard-type lower bound for symmetric diagonally dominant positive matrices A Hadamard-type lower boud for symmetric diagoally domiat positive matrices Christopher J. Hillar, Adre Wibisoo Uiversity of Califoria, Berkeley Jauary 7, 205 Abstract We prove a ew lower-boud form of

More information

Intensive Algorithms Lecture 11. DFT and DP. Lecturer: Daniel A. Spielman February 20, f(n) O(g(n) log c g(n)).

Intensive Algorithms Lecture 11. DFT and DP. Lecturer: Daniel A. Spielman February 20, f(n) O(g(n) log c g(n)). Itesive Algorithms Lecture 11 DFT ad DP Lecturer: Daiel A. Spielma February 20, 2018 11.1 Itroductio The purpose of this lecture is to lear how use the Discrete Fourier Trasform to save space i Dyamic

More information

Assignment 2 Solutions SOLUTION. ϕ 1 Â = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ.

Assignment 2 Solutions SOLUTION. ϕ 1  = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ. PHYSICS 34 QUANTUM PHYSICS II (25) Assigmet 2 Solutios 1. With respect to a pair of orthoormal vectors ϕ 1 ad ϕ 2 that spa the Hilbert space H of a certai system, the operator  is defied by its actio

More information

Physics 116A Solutions to Homework Set #9 Winter 2012

Physics 116A Solutions to Homework Set #9 Winter 2012 Physics 116A Solutios to Homework Set #9 Witer 1 1. Boas, problem 11.3 5. Simplify Γ( 1 )Γ(4)/Γ( 9 ). Usig xγ(x) Γ(x + 1) repeatedly, oe obtais Γ( 9) 7 Γ( 7) 7 5 Γ( 5 ), etc. util fially obtaiig Γ( 9)

More information

Quantum Simulation: Solving Schrödinger Equation on a Quantum Computer

Quantum Simulation: Solving Schrödinger Equation on a Quantum Computer Purdue Uiversity Purdue e-pubs Birc Poster Sessios Birc Naotechology Ceter 4-14-008 Quatum Simulatio: Solvig Schrödiger Equatio o a Quatum Computer Hefeg Wag Purdue Uiversity, wag10@purdue.edu Sabre Kais

More information

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION Iteratioal Joural of Pure ad Applied Mathematics Volume 94 No. 204, 9-20 ISSN: 3-8080 (prited versio); ISSN: 34-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v94i.2 PAijpam.eu

More information

THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES

THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES Joural of Mathematical Aalysis ISSN: 17-341, URL: http://iliriascom/ma Volume 7 Issue 4(16, Pages 13-19 THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES ABEDALLAH RABABAH, AYMAN AL

More information

Sequences. Notation. Convergence of a Sequence

Sequences. Notation. Convergence of a Sequence Sequeces A sequece is essetially just a list. Defiitio (Sequece of Real Numbers). A sequece of real umbers is a fuctio Z (, ) R for some real umber. Do t let the descriptio of the domai cofuse you; it

More information

Rational Bounds for the Logarithm Function with Applications

Rational Bounds for the Logarithm Function with Applications Ratioal Bouds for the Logarithm Fuctio with Applicatios Robert Bosch Abstract We fid ratioal bouds for the logarithm fuctio ad we show applicatios to problem-solvig. Itroductio Let a = + solvig the problem

More information

Generating Functions for Laguerre Type Polynomials. Group Theoretic method

Generating Functions for Laguerre Type Polynomials. Group Theoretic method It. Joural of Math. Aalysis, Vol. 4, 2010, o. 48, 257-266 Geeratig Fuctios for Laguerre Type Polyomials α of Two Variables L ( xy, ) by Usig Group Theoretic method Ajay K. Shula* ad Sriata K. Meher** *Departmet

More information

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra Proof of Fermat s Last Theorem by Algebra Idetities ad Liear Algebra Javad Babaee Ragai Youg Researchers ad Elite Club, Qaemshahr Brach, Islamic Azad Uiversity, Qaemshahr, Ira Departmet of Civil Egieerig,

More information

Preponderantly increasing/decreasing data in regression analysis

Preponderantly increasing/decreasing data in regression analysis Croatia Operatioal Research Review 269 CRORR 7(2016), 269 276 Prepoderatly icreasig/decreasig data i regressio aalysis Darija Marković 1, 1 Departmet of Mathematics, J. J. Strossmayer Uiversity of Osijek,

More information

ON SOME TRIGONOMETRIC POWER SUMS

ON SOME TRIGONOMETRIC POWER SUMS IJMMS 0: 2002 185 191 PII. S016117120200771 http://ijmms.hidawi.com Hidawi Publishig Corp. ON SOME TRIGONOMETRIC POWER SUMS HONGWEI CHEN Received 17 Jue 2001 Usig the geeratig fuctio method, the closed

More information

SRC Technical Note June 17, Tight Thresholds for The Pure Literal Rule. Michael Mitzenmacher. d i g i t a l

SRC Technical Note June 17, Tight Thresholds for The Pure Literal Rule. Michael Mitzenmacher. d i g i t a l SRC Techical Note 1997-011 Jue 17, 1997 Tight Thresholds for The Pure Literal Rule Michael Mitzemacher d i g i t a l Systems Research Ceter 130 Lytto Aveue Palo Alto, Califoria 94301 http://www.research.digital.com/src/

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

CHAPTER I: Vector Spaces

CHAPTER I: Vector Spaces CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig

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

MAT 271 Project: Partial Fractions for certain rational functions

MAT 271 Project: Partial Fractions for certain rational functions MAT 7 Project: Partial Fractios for certai ratioal fuctios Prerequisite kowledge: partial fractios from MAT 7, a very good commad of factorig ad complex umbers from Precalculus. To complete this project,

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

If we want to add up the area of four rectangles, we could find the area of each rectangle and then write this sum symbolically as:

If we want to add up the area of four rectangles, we could find the area of each rectangle and then write this sum symbolically as: Sigma Notatio: If we wat to add up the area of four rectagles, we could fid the area of each rectagle ad the write this sum symbolically as: Sum A A A A Liewise, the sum of the areas of te triagles could

More information

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations Chapter The Solutio of Numerical Algebraic ad Trascedetal Equatios Itroductio I this chapter we shall discuss some umerical methods for solvig algebraic ad trascedetal equatios. The equatio f( is said

More information

Lecture 9: Pseudo-random generators against space bounded computation,

Lecture 9: Pseudo-random generators against space bounded computation, Lecture 9: Pseudo-radom geerators agaist space bouded computatio, Primality Testig Topics i Pseudoradomess ad Complexity (Sprig 2018) Rutgers Uiversity Swastik Kopparty Scribes: Harsha Tirumala, Jiyu Zhag

More information

A multivariate rational interpolation with no poles in R m

A multivariate rational interpolation with no poles in R m NTMSCI 3, No., 9-8 (05) 9 New Treds i Mathematical Scieces http://www.tmsci.com A multivariate ratioal iterpolatio with o poles i R m Osma Rasit Isik, Zekeriya Guey ad Mehmet Sezer Departmet of Mathematics,

More information

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx) Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso

More information

Ellipsoid Method for Linear Programming made simple

Ellipsoid Method for Linear Programming made simple Ellipsoid Method for Liear Programmig made simple Sajeev Saxea Dept. of Computer Sciece ad Egieerig, Idia Istitute of Techology, Kapur, INDIA-08 06 December 3, 07 Abstract I this paper, ellipsoid method

More information

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ.

w (1) ˆx w (1) x (1) /ρ and w (2) ˆx w (2) x (2) /ρ. 2 5. Weighted umber of late jobs 5.1. Release dates ad due dates: maximimizig the weight of o-time jobs Oce we add release dates, miimizig the umber of late jobs becomes a sigificatly harder problem. For

More information

Sigma notation. 2.1 Introduction

Sigma notation. 2.1 Introduction Sigma otatio. Itroductio We use sigma otatio to idicate the summatio process whe we have several (or ifiitely may) terms to add up. You may have see sigma otatio i earlier courses. It is used to idicate

More information

Bijective Proofs of Gould s and Rothe s Identities

Bijective Proofs of Gould s and Rothe s Identities ESI The Erwi Schrödiger Iteratioal Boltzmagasse 9 Istitute for Mathematical Physics A-1090 Wie, Austria Bijective Proofs of Gould s ad Rothe s Idetities Victor J. W. Guo Viea, Preprit ESI 2072 (2008 November

More information

Assignment 5: Solutions

Assignment 5: Solutions McGill Uiversity Departmet of Mathematics ad Statistics MATH 54 Aalysis, Fall 05 Assigmet 5: Solutios. Let y be a ubouded sequece of positive umbers satisfyig y + > y for all N. Let x be aother sequece

More information

A NOTE ON THE TOTAL LEAST SQUARES FIT TO COPLANAR POINTS

A NOTE ON THE TOTAL LEAST SQUARES FIT TO COPLANAR POINTS A NOTE ON THE TOTAL LEAST SQUARES FIT TO COPLANAR POINTS STEVEN L. LEE Abstract. The Total Least Squares (TLS) fit to the poits (x,y ), =1,,, miimizes the sum of the squares of the perpedicular distaces

More information

THE N-POINT FUNCTIONS FOR INTERSECTION NUMBERS ON MODULI SPACES OF CURVES

THE N-POINT FUNCTIONS FOR INTERSECTION NUMBERS ON MODULI SPACES OF CURVES THE N-POINT FUNTIONS FOR INTERSETION NUMBERS ON MODULI SPAES OF URVES KEFENG LIU AND HAO XU Abstract. We derive from Witte s KdV equatio a simple formula of the -poit fuctios for itersectio umbers o moduli

More information

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck!

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck! Uiversity of Colorado Dever Dept. Math. & Stat. Scieces Applied Aalysis Prelimiary Exam 13 Jauary 01, 10:00 am :00 pm Name: The proctor will let you read the followig coditios before the exam begis, ad

More information

The log-behavior of n p(n) and n p(n)/n

The log-behavior of n p(n) and n p(n)/n Ramauja J. 44 017, 81-99 The log-behavior of p ad p/ William Y.C. Che 1 ad Ke Y. Zheg 1 Ceter for Applied Mathematics Tiaji Uiversity Tiaji 0007, P. R. Chia Ceter for Combiatorics, LPMC Nakai Uivercity

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

Direction: This test is worth 250 points. You are required to complete this test within 50 minutes.

Direction: This test is worth 250 points. You are required to complete this test within 50 minutes. Term Test October 3, 003 Name Math 56 Studet Number Directio: This test is worth 50 poits. You are required to complete this test withi 50 miutes. I order to receive full credit, aswer each problem completely

More information

Proof of a conjecture of Amdeberhan and Moll on a divisibility property of binomial coefficients

Proof of a conjecture of Amdeberhan and Moll on a divisibility property of binomial coefficients Proof of a cojecture of Amdeberha ad Moll o a divisibility property of biomial coefficiets Qua-Hui Yag School of Mathematics ad Statistics Najig Uiversity of Iformatio Sciece ad Techology Najig, PR Chia

More information

Random assignment with integer costs

Random assignment with integer costs Radom assigmet with iteger costs Robert Parviaie Departmet of Mathematics, Uppsala Uiversity P.O. Box 480, SE-7506 Uppsala, Swede robert.parviaie@math.uu.se Jue 4, 200 Abstract The radom assigmet problem

More information

GENERALIZED HARMONIC NUMBER IDENTITIES AND A RELATED MATRIX REPRESENTATION

GENERALIZED HARMONIC NUMBER IDENTITIES AND A RELATED MATRIX REPRESENTATION J Korea Math Soc 44 (2007), No 2, pp 487 498 GENERALIZED HARMONIC NUMBER IDENTITIES AND A RELATED MATRIX REPRESENTATION Gi-Sag Cheo ad Moawwad E A El-Miawy Reprited from the Joural of the Korea Mathematical

More information

Chapter 6 Overview: Sequences and Numerical Series. For the purposes of AP, this topic is broken into four basic subtopics:

Chapter 6 Overview: Sequences and Numerical Series. For the purposes of AP, this topic is broken into four basic subtopics: Chapter 6 Overview: Sequeces ad Numerical Series I most texts, the topic of sequeces ad series appears, at first, to be a side topic. There are almost o derivatives or itegrals (which is what most studets

More information

Chapter 6 Sampling Distributions

Chapter 6 Sampling Distributions Chapter 6 Samplig Distributios 1 I most experimets, we have more tha oe measuremet for ay give variable, each measuremet beig associated with oe radomly selected a member of a populatio. Hece we eed to

More information

Chapter 7: Numerical Series

Chapter 7: Numerical Series Chapter 7: Numerical Series Chapter 7 Overview: Sequeces ad Numerical Series I most texts, the topic of sequeces ad series appears, at first, to be a side topic. There are almost o derivatives or itegrals

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

Comment on Demonstrations of Shor s Algorithm in the Past Decades

Comment on Demonstrations of Shor s Algorithm in the Past Decades Commet o Demostratios of Shor s Algorithm i the Past Decades Zhegju Cao,, Zhefu Cao, Lihua Liu 3 Abstract. We remark that the eperimetal demostratios of Shor s algorithm i the past decades are falsely

More information

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods TMA4205 Numerical Liear Algebra The Poisso problem i R 2 : diagoalizatio methods September 3, 2007 c Eiar M Røquist Departmet of Mathematical Scieces NTNU, N-749 Trodheim, Norway All rights reserved A

More information

Topic 9: Sampling Distributions of Estimators

Topic 9: Sampling Distributions of Estimators Topic 9: Samplig Distributios of Estimators Course 003, 2018 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

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

This is an introductory course in Analysis of Variance and Design of Experiments.

This is an introductory course in Analysis of Variance and Design of Experiments. 1 Notes for M 384E, Wedesday, Jauary 21, 2009 (Please ote: I will ot pass out hard-copy class otes i future classes. If there are writte class otes, they will be posted o the web by the ight before class

More information

Solutions to Tutorial 3 (Week 4)

Solutions to Tutorial 3 (Week 4) The Uiversity of Sydey School of Mathematics ad Statistics Solutios to Tutorial Week 4 MATH2962: Real ad Complex Aalysis Advaced Semester 1, 2017 Web Page: http://www.maths.usyd.edu.au/u/ug/im/math2962/

More information

Lainiotis filter implementation. via Chandrasekhar type algorithm

Lainiotis filter implementation. via Chandrasekhar type algorithm Joural of Computatios & Modellig, vol.1, o.1, 2011, 115-130 ISSN: 1792-7625 prit, 1792-8850 olie Iteratioal Scietific Press, 2011 Laiiotis filter implemetatio via Chadrasehar type algorithm Nicholas Assimais

More information

Probability, Expectation Value and Uncertainty

Probability, Expectation Value and Uncertainty Chapter 1 Probability, Expectatio Value ad Ucertaity We have see that the physically observable properties of a quatum system are represeted by Hermitea operators (also referred to as observables ) such

More information

Computation of Error Bounds for P-matrix Linear Complementarity Problems

Computation of Error Bounds for P-matrix Linear Complementarity Problems Mathematical Programmig mauscript No. (will be iserted by the editor) Xiaoju Che Shuhuag Xiag Computatio of Error Bouds for P-matrix Liear Complemetarity Problems Received: date / Accepted: date Abstract

More information

C191 - Lecture 2 - Quantum states and observables

C191 - Lecture 2 - Quantum states and observables C191 - Lecture - Quatum states ad observables I ENTANGLED STATES We saw last time that quatum mechaics allows for systems to be i superpositios of basis states May of these superpositios possess a uiquely

More information

The Comparison Tests. Examples. math 131 infinite series, part iii: comparison tests 18

The Comparison Tests. Examples. math 131 infinite series, part iii: comparison tests 18 math 3 ifiite series, part iii: compariso tests 8 The Compariso Tests The idea behid the compariso tests is pretty simple. Suppose we have a series such as which we kow coverges by the p-series test. Now

More information

Stat 319 Theory of Statistics (2) Exercises

Stat 319 Theory of Statistics (2) Exercises Kig Saud Uiversity College of Sciece Statistics ad Operatios Research Departmet Stat 39 Theory of Statistics () Exercises Refereces:. Itroductio to Mathematical Statistics, Sixth Editio, by R. Hogg, J.

More information

Mathematical Induction

Mathematical Induction Mathematical Iductio Itroductio Mathematical iductio, or just iductio, is a proof techique. Suppose that for every atural umber, P() is a statemet. We wish to show that all statemets P() are true. I a

More information

Lecture 4: April 10, 2013

Lecture 4: April 10, 2013 TTIC/CMSC 1150 Mathematical Toolkit Sprig 01 Madhur Tulsiai Lecture 4: April 10, 01 Scribe: Haris Agelidakis 1 Chebyshev s Iequality recap I the previous lecture, we used Chebyshev s iequality to get a

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

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4.

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4. 11. FINITE FIELDS 11.1. A Field With 4 Elemets Probably the oly fiite fields which you ll kow about at this stage are the fields of itegers modulo a prime p, deoted by Z p. But there are others. Now although

More information

Question 1: The magnetic case

Question 1: The magnetic case September 6, 018 Corell Uiversity, Departmet of Physics PHYS 337, Advace E&M, HW # 4, due: 9/19/018, 11:15 AM Questio 1: The magetic case I class, we skipped over some details, so here you are asked to

More information

Corrigendum. Trinca and Gilmour (2000) stated that, for model (1), S = (X X) 1 X B

Corrigendum. Trinca and Gilmour (2000) stated that, for model (1), S = (X X) 1 X B Corrigedum Trica Gilmour (000) preseted a algorithm for arragig respose surface desigs i blocks The polyomial respose surface model for blocked experimets is y = Bα + Xβ + ɛ, () where y is the respose

More information

DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES

DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES Icreasig ad Decreasig Auities ad Time Reversal by Jim Farmer Jim.Farmer@mq.edu.au Research Paper No. 2000/02 November 2000 Divisio of Ecoomic ad Fiacial

More information

MOMENT-METHOD ESTIMATION BASED ON CENSORED SAMPLE

MOMENT-METHOD ESTIMATION BASED ON CENSORED SAMPLE Vol. 8 o. Joural of Systems Sciece ad Complexity Apr., 5 MOMET-METHOD ESTIMATIO BASED O CESORED SAMPLE I Zhogxi Departmet of Mathematics, East Chia Uiversity of Sciece ad Techology, Shaghai 37, Chia. Email:

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI: 10.1038/NPHYS309 O the reality of the quatum state Matthew F. Pusey, 1, Joatha Barrett, ad Terry Rudolph 1 1 Departmet of Physics, Imperial College Lodo, Price Cosort Road, Lodo SW7 AZ, Uited Kigdom

More information

Lecture 12: November 13, 2018

Lecture 12: November 13, 2018 Mathematical Toolkit Autum 2018 Lecturer: Madhur Tulsiai Lecture 12: November 13, 2018 1 Radomized polyomial idetity testig We will use our kowledge of coditioal probability to prove the followig lemma,

More information

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing

Physics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing Physics 6A Solutios to Homework Set # Witer 0. Boas, problem. 8 Use equatio.8 to fid a fractio describig 0.694444444... Start with the formula S = a, ad otice that we ca remove ay umber of r fiite decimals

More information

A New Method to Order Functions by Asymptotic Growth Rates Charlie Obimbo Dept. of Computing and Information Science University of Guelph

A New Method to Order Functions by Asymptotic Growth Rates Charlie Obimbo Dept. of Computing and Information Science University of Guelph A New Method to Order Fuctios by Asymptotic Growth Rates Charlie Obimbo Dept. of Computig ad Iformatio Sciece Uiversity of Guelph ABSTRACT A ew method is described to determie the complexity classes of

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

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

Confidence interval for the two-parameter exponentiated Gumbel distribution based on record values

Confidence interval for the two-parameter exponentiated Gumbel distribution based on record values Iteratioal Joural of Applied Operatioal Research Vol. 4 No. 1 pp. 61-68 Witer 2014 Joural homepage: www.ijorlu.ir Cofidece iterval for the two-parameter expoetiated Gumbel distributio based o record values

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

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty

More information

September 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1

September 2012 C1 Note. C1 Notes (Edexcel) Copyright   - For AS, A2 notes and IGCSE / GCSE worksheets 1 September 0 s (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright

More information

Gamma Distribution and Gamma Approximation

Gamma Distribution and Gamma Approximation Gamma Distributio ad Gamma Approimatio Xiaomig Zeg a Fuhua (Frak Cheg b a Xiame Uiversity, Xiame 365, Chia mzeg@jigia.mu.edu.c b Uiversity of Ketucky, Leigto, Ketucky 456-46, USA cheg@cs.uky.edu Abstract

More information

Iterative method for computing a Schur form of symplectic matrix

Iterative method for computing a Schur form of symplectic matrix Aals of the Uiversity of Craiova, Mathematics ad Computer Sciece Series Volume 421, 2015, Pages 158 166 ISSN: 1223-6934 Iterative method for computig a Schur form of symplectic matrix A Mesbahi, AH Betbib,

More information