ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION

Size: px
Start display at page:

Download "ANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION"

Transcription

1 ANOTHER PROOF FOR FERMAT S LAST THEOREM Mugur B. RĂUŢ Correspodig author: Mugur B. RĂUŢ, m_b_raut@yahoo.om Abstrat I this paper we propose aother proof for Fermat s Last Theorem (FLT). We foud a simpler approah through Pythagorea Theorem, so our demostratio would be lose to the times FLT was formulated. O the other had it seems the Pythagoras Theorem was the ispiratio for FLT. It resulted oe of the most diffiult mathematial problem of all times, as it was osidered. Pythagorea triples existee seems to support the laims of the previous phrase. Key words: Pythagorea triples; Fermat s Last Theorem; Pythagoras Theorem; iteger umbers. 1. INTRODUCTION Fermat s Last Theorem postulates that there are ot three itegers a, b, whih satisfy the Diophatie equatio: a b, a, b,, Z, (1) for ay atural value of greater tha two. Apparetly simple, this theorem statemet has give muh trouble to may geeratios of mathematiias. Although it was formulated i 1637, after several partial demostratios, the suessful proof omes later, i 1995, after some papers published by the British mathematiia Wiles, [1] ad []. A brief history of the usuessful efforts to solve FLT is foud i ref. [3]. I our opiio, the demostratio diffiultess of this theorem osists i its outless possibilities of approah. I this otext we preset, i the followig, aother demostratio of this theorem, i terms of Pythagorea Theorem.. PYTHAGORAS THEOREM VS. FERMAT S LAST THEOREM I order to make a easy demostratio, whih otherwise it would be redued to a edless series of attempts by givig values to itegers a, b ad, hee impossible to prove i fat, we must redue our problem to aother problem i whih a, b ad must gai sigifiae. The best way is to redue equatio (1) to a geometry problem. Cosequetly, a oveiet way is to redue the problem to a relatio betwee sizes of a retagular triagle. Therefore let us osider a, b ad the sizes of a retagular triagle. It is kow that the relatio betwee them is, aordig to the Pythagorea Theorem: a b ()

2 Aother proof for Fermat s Last Theorem where a, b, R ilude both egative ad positive values. The sizes a ad b a take positive or egative values if we oveiet hoose the referee system i whih we built the retagular triagle. Regardig the hypoteuse, give that it is a sum of squares: it is obvious that it a also take egative values too. Let us ow defie the trigoometri futios ( a b si a / ad: os b/ with ( 0,) beause a ad b must take both positive ad egative values. For a better uderstadig why a ad b must take positive ad egative values, we a imagie a irle like trigoometri irle i whih we outlied i eah quadrat a symmetri triagle. I quadrat I, a ad b are positive ad α is a aute agle. I quadrat II a is positive ad b is egative, the agle α is already a obtuse agle. You might thik ow that sharp agles sum is ot equal to π/. The fulfillig oditio for a retagular triagle is broke. Begiig with quadrat II agle α would be already obtuse ad this is the reaso why triagles aot be oeived i these quadrats. But this is ot exatly so. I quadrat II, for example, the agle symmetrial with α will have the value π-α. If the opposed agle will have the value α-π /, the their sum will be exatly the oditio that must be fulfilled by a retagular triagle. Thus our irle will ot be a simple referee for the measure of a ad b, positive ad egative. Hee we obtai four idetial retagular triagles, with idetial sizes ad agles. The oly differee betwee them is that some of them are positive, other egative, somethig ovetioal, atually illustratig their perfet symmetry from the eter of oordiate axes. With these established otios we a thik ow a way to trasform equatio () i a relatio lose to equatio (1). Oe way is to multiply equatio () by ad usig trigoometri futios defied above i order to obtai a equatio i whih the power of the ukows a, b, ad to be multiplied by oe order. Remakig the multipliatio times we have therefore: It would have bee easier to write a ) 1 si b os (3) a b si os (4) but we hoose the form (3) beause the futios formed by sie ad osie of high power i (4) aot be defied if the trigoometri futios have egative values. We have therefore (3) i whih we a already operate the restritio a, b, Z. We distiguish two mai ases. The first ase orrespods to the geeral situatio i whih: p (5) Here p must be see ot eessarily a iteger but rather as a umber that make (5) a iteger. Cosiderig (5), equatio (3) beomes: p p p p p a si b os (6) Obviously, for p=1 it results equatio () from whih we started. a, b, ad are itegers this time, ad we a say that we have already demostrate the viability of the geeral relatio () for iteger umbers. But we are iterested i higher powers tha two of, respetively higher tha oe of p ad therefore i a equatio (6) of the form (1). Note that we a do this, ad this is to write equatio (6) of the form: with d asi ad e bos, d, e Z, oly if the oditio p p p p p d e (7)

3 Mugur RĂUŢ is fulfilled. By replaig p 1/ i equatio (6) we get immediately the equatio: asi bos whih turs i equatio () through trigoometri futios sie ad osie defiitio relatios. So, our equatio (6) a be writte as equatio (1), but oly for p=1/. For higher powers of p, p 1/, we always have: p p whih leads to the olusio that betwee three umbers a, b, Z, for ay p>1, there is oly a relatio of the form (6). The form (6) does ot exlude therefore a relatio like: p k m d e with k m p, but with d ad e real umbers. The quatities d ad e aot be itegers beause they are a produt of a iteger ad a real umber. Partiular ases of extreme values of trigoometri futios are exluded beause the quatities iluded i equatio (6) are the sizes of a retagular triagle for whih the sum of the sharp agles is always equal to π /. A speial ase is the oe i whih: For p we have ( 1/ ) p 1 1 si os, ad equatio (6) beomes p p p 1 1 p p a b Note that for p=1 the result is equatio (). But we are iterested i higher values of p. Therefore, to have a equatio of the form (7) it have to p 1 p Hee p=-1 for whih d e equatio that a be writte as d e or ' ' ' d e with ', d', e' Z. The seod mai ase is orrespodig to: p 1 ad brigs othig speial i the spetrum of results. We obtai the equatio: p1 p1 1 p p1 1 p a si b os (8) for whih we do the same kid of reasoig. Equatio (8) beomes the type: p1 p1 p1 d e (9) with d asi ad e bos, d, e Z, uder oditio: p 1 1 p. This oditio easily leads to the oly possible result, equatio (). We are iterested i all situatios but espeially i p 1 1 p But this leads to the olusio that betwee the three iteger umbers a, b, Z ad p> 1 ould ot be ay relatio but that illustrated by the form (8). The partiular ase i whih the sie ad osie values are equal is desribed by the equatio: p1 p1 p1 p1 a p1 b (10)

4 4 Aother proof for Fermat s Last Theorem The oditio: leads to equatio: whih a be writte as: with ', d', e' Z. p 1 p 1 d e ' d ' e ' 3. PARTICULAR CASE A simplest ase, whose solutio is obvious, is whe trigoometri futios are positive, ( 0, / ) I equatio (3), writte i the form (4): a b si os we a do the restritio a, b, N. For = we a see that the resultig that equatio () it results very easily. For > we must see what happes with trigoometri futios withi paretheses. Notig that: 1 ad: also: a arise oly as: 0 si 1, 0 os 1, 0 si 1, 0 os 1 si d e,,os N, Q d, e R where d a si ad e b os. From equatio (4) it might exist a situatio. Cosider: 3, si 0, 1 ad a xy...z0, where x, y, z are ompoet iphers of the atural umber a. It is possible, therefore, the situatio i whih d N. I this situatio we also kow that e R ad N. As you a see, this situatio aot exist beause a atural umber aot be the sum of a iteger umber ad a real oe. So this situatio is impossible. The same olusio applies also for =3k, for k atural umber ad siα=0,0 01, with a=x0 0. As for the situatio whe siα=osα, It is treated the same way ad lead to the same results as i the previous ases, = p ad = p +1. By summig, ultimately, all the olusios of all ases i a sigle oe there are o three itegers a, b ad that satisfy equatio (1), for >. The solutios of this equatio are oly for =.

5 Mugur RĂUŢ 4. DISCUSSIONS Whereas equatios (6) ad (8) result from equatio () by multiplyig with, you would thik that we've prove othig so far, these equatios are equivalet to equatio (). We assume that equatio () is valid from the very begiig ad we got fially that oly () may be valid. It is what you might all a trivial ase. But thigs seem to stad exatly opposite.. We assume, i the hypothesis, that equatio () is ideed valid, but a, b, are real umbers. The result is that the equatio () is ideed valid, but i ase we are iterested, whe a, b, are itegers. Other ases, for higher powers of, are impossible. It is a orret reasoig beause i the FLT statemet equatio () is assumed valid, for ay iteger triplet, other ases beig impossible. I our reasoig we start with what is kow, but the umbers a, b ad are assumed to be ot itegers. This is the result we reahed. We iitially assumed that the equatio () is valid, whatever be three real umbers a, b ad By usig this reasoig, if we assume that the Pythagorea Theorem is of the form a b, we have reahed the same olusio: there aot be three itegers a, b, whih satisfy the equatio a b. The same olusio is if the Pythagorea Theorem is a b. No matter what form has therefore the Pythagorea Theorem, the result is of the form of Pythagorea Theorem. This seems to be strage at first sight, but i our opiio, is due to the similarities of the two theorems form. Up to a poit you might get the impressio it is oe ad the same theorem. You might thik that FLT is just a existee theorem for equatio (), ad there is o a lear lie of separatio betwee them. Ad this is, perhaps, beause Fermat s Theorem was ispired by the Pythagoras Theorem, ad tries to apply it oly to some umerial values without ay meaig. He sueeded to reate, hee, the most diffiult mathematial problem, aordig to some, of all times. By the same blur delimitatio betwee the two theorems we use i our approah. We have show that there a be o triples of itegers satisfyig the equatio (1), for higher powers of. The solutios are oly for =. 5. Colusios Based o the similarities that exist, to ertai extet, from Pythagorea Theorem ad Fermat s Last Theorem, we attempted, i this paper, to demostrate the later through the former. It has bee show that give equatio (1), it has o solutio a, b, itegers, but oly for =. Case orrespodig to Pythagorea Theorem. 6. REFERENCES 1. WILES A. (1995), Modular ellipti urves ad Fermat s Last Theorem, Aals of Mathematis 141 (3), ;. TAYLOR R, WILES A. (1995), Rig theoreti properties of ertai Heke algebras, Aals of Mathematis 141 (3), ; 3. RIBENBOIM P. (1979), 13 letures o Fermat s Last Theorem, Spriger Verlag, New York.

Abstract. Fermat's Last Theorem Proved on a Single Page. "The simplest solution is usually the best solution"---albert Einstein

Abstract. Fermat's Last Theorem Proved on a Single Page. The simplest solution is usually the best solution---albert Einstein Copyright A. A. Frempog Fermat's Last Theorem Proved o a Sigle Page "5% of the people thik; 0% of the people thik that they thik; ad the other 85% would rather die tha thik."----thomas Ediso "The simplest

More information

ε > 0 N N n N a n < ε. Now notice that a n = a n.

ε > 0 N N n N a n < ε. Now notice that a n = a n. 4 Sequees.5. Null sequees..5.. Defiitio. A ull sequee is a sequee (a ) N that overges to 0. Hee, by defiitio of (a ) N overges to 0, a sequee (a ) N is a ull sequee if ad oly if ( ) ε > 0 N N N a < ε..5..

More information

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2

Bernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2 Beroulli Numbers Beroulli umbers are amed after the great Swiss mathematiia Jaob Beroulli5-705 who used these umbers i the power-sum problem. The power-sum problem is to fid a formula for the sum of the

More information

Observer Design with Reduced Measurement Information

Observer Design with Reduced Measurement Information Observer Desig with Redued Measuremet Iformatio I pratie all the states aot be measured so that SVF aot be used Istead oly a redued set of measuremets give by y = x + Du p is available where y( R We assume

More information

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution

After the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable

More information

Class #25 Wednesday, April 19, 2018

Class #25 Wednesday, April 19, 2018 Cla # Wedesday, April 9, 8 PDE: More Heat Equatio with Derivative Boudary Coditios Let s do aother heat equatio problem similar to the previous oe. For this oe, I ll use a square plate (N = ), but I m

More information

Sx [ ] = x must yield a

Sx [ ] = x must yield a Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors

More information

SOME NOTES ON INEQUALITIES

SOME NOTES ON INEQUALITIES SOME NOTES ON INEQUALITIES Rihard Hoshio Here are four theorems that might really be useful whe you re workig o a Olympiad problem that ivolves iequalities There are a buh of obsure oes Chebyheff, Holder,

More information

Chapter 8 Hypothesis Testing

Chapter 8 Hypothesis Testing Chapter 8 for BST 695: Speial Topis i Statistial Theory Kui Zhag, Chapter 8 Hypothesis Testig Setio 8 Itrodutio Defiitio 8 A hypothesis is a statemet about a populatio parameter Defiitio 8 The two omplemetary

More information

Nonstandard Lorentz-Einstein transformations

Nonstandard Lorentz-Einstein transformations Nostadard Loretz-istei trasformatios Berhard Rothestei 1 ad Stefa Popesu 1) Politehia Uiversity of Timisoara, Physis Departmet, Timisoara, Romaia brothestei@gmail.om ) Siemes AG, rlage, Germay stefa.popesu@siemes.om

More information

Summation Method for Some Special Series Exactly

Summation Method for Some Special Series Exactly The Iteratioal Joural of Mathematis, Siee, Tehology ad Maagemet (ISSN : 39-85) Vol. Issue Summatio Method for Some Speial Series Eatly D.A.Gismalla Deptt. Of Mathematis & omputer Studies Faulty of Siee

More information

Once we have a sequence of numbers, the next thing to do is to sum them up. Given a sequence (a n ) n=1

Once we have a sequence of numbers, the next thing to do is to sum them up. Given a sequence (a n ) n=1 . Ifiite Series Oce we have a sequece of umbers, the ext thig to do is to sum them up. Give a sequece a be a sequece: ca we give a sesible meaig to the followig expressio? a = a a a a While summig ifiitely

More information

The "Last Riddle" of Pierre de Fermat, II

The Last Riddle of Pierre de Fermat, II The "Last Riddle" of Pierre de Fermat, II Alexader Mitkovsky mitkovskiy@gmail.com Some time ago, I published a work etitled, "The Last Riddle" of Pierre de Fermat " i which I had writte a proof of the

More information

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?

More information

Fluids Lecture 2 Notes

Fluids Lecture 2 Notes Fluids Leture Notes. Airfoil orte Sheet Models. Thi-Airfoil Aalysis Problem Readig: Aderso.,.7 Airfoil orte Sheet Models Surfae orte Sheet Model A aurate meas of represetig the flow about a airfoil i a

More information

Some Basic Diophantine Equations

Some Basic Diophantine Equations Some Basic iophatie Equatios R.Maikada, epartmet of Mathematics, M.I.E.T. Egieerig College, Tiruchirappalli-7. Email: maimaths78@gmail.com bstract- - I this paper we preset a method for solvig the iophatie

More information

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp.

Société de Calcul Mathématique SA Mathematical Modelling Company, Corp. oiété de Calul Mathéatique A Matheatial Modellig Copay, Corp. Deisio-aig tools, sie 995 iple Rado Wals Part V Khihi's Law of the Iterated Logarith: Quatitative versios by Berard Beauzay August 8 I this

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

POWER SERIES METHODS CHAPTER 8 SECTION 8.1 INTRODUCTION AND REVIEW OF POWER SERIES

POWER SERIES METHODS CHAPTER 8 SECTION 8.1 INTRODUCTION AND REVIEW OF POWER SERIES CHAPTER 8 POWER SERIES METHODS SECTION 8. INTRODUCTION AND REVIEW OF POWER SERIES The power series method osists of substitutig a series y = ito a give differetial equatio i order to determie what the

More information

The Growth of Functions. Theoretical Supplement

The Growth of Functions. Theoretical Supplement The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that

More information

SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES

SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES SYNTHESIS OF SIGNAL USING THE EXPONENTIAL FOURIER SERIES Sadro Adriao Fasolo ad Luiao Leoel Medes Abstrat I 748, i Itrodutio i Aalysi Ifiitorum, Leohard Euler (707-783) stated the formula exp( jω = os(

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

(8) 1f = f. can be viewed as a real vector space where addition is defined by ( a1+ bi

(8) 1f = f. can be viewed as a real vector space where addition is defined by ( a1+ bi Geeral Liear Spaes (Vetor Spaes) ad Solutios o ODEs Deiitio: A vetor spae V is a set, with additio ad salig o elemet deied or all elemets o the set, that is losed uder additio ad salig, otais a zero elemet

More information

The beta density, Bayes, Laplace, and Pólya

The beta density, Bayes, Laplace, and Pólya The beta desity, Bayes, Laplae, ad Pólya Saad Meimeh The beta desity as a ojugate form Suppose that is a biomial radom variable with idex ad parameter p, i.e. ( ) P ( p) p ( p) Applyig Bayes s rule, we

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

Certain inclusion properties of subclass of starlike and convex functions of positive order involving Hohlov operator

Certain inclusion properties of subclass of starlike and convex functions of positive order involving Hohlov operator Iteratioal Joural of Pure ad Applied Mathematial Siees. ISSN 0972-9828 Volume 0, Number (207), pp. 85-97 Researh Idia Publiatios http://www.ripubliatio.om Certai ilusio properties of sublass of starlike

More information

SOME TRIBONACCI IDENTITIES

SOME TRIBONACCI IDENTITIES Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

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

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

4.3 Growth Rates of Solutions to Recurrences

4.3 Growth Rates of Solutions to Recurrences 4.3. GROWTH RATES OF SOLUTIONS TO RECURRENCES 81 4.3 Growth Rates of Solutios to Recurreces 4.3.1 Divide ad Coquer Algorithms Oe of the most basic ad powerful algorithmic techiques is divide ad coquer.

More information

Addition: Property Name Property Description Examples. a+b = b+a. a+(b+c) = (a+b)+c

Addition: Property Name Property Description Examples. a+b = b+a. a+(b+c) = (a+b)+c Notes for March 31 Fields: A field is a set of umbers with two (biary) operatios (usually called additio [+] ad multiplicatio [ ]) such that the followig properties hold: Additio: Name Descriptio Commutativity

More information

P1 Chapter 8 :: Binomial Expansion

P1 Chapter 8 :: Binomial Expansion P Chapter 8 :: Biomial Expasio jfrost@tiffi.kigsto.sch.uk www.drfrostmaths.com @DrFrostMaths Last modified: 6 th August 7 Use of DrFrostMaths for practice Register for free at: www.drfrostmaths.com/homework

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

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

CALCULUS BASIC SUMMER REVIEW

CALCULUS BASIC SUMMER REVIEW CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=

More information

1 Approximating Integrals using Taylor Polynomials

1 Approximating Integrals using Taylor Polynomials Seughee Ye Ma 8: Week 7 Nov Week 7 Summary This week, we will lear how we ca approximate itegrals usig Taylor series ad umerical methods. Topics Page Approximatig Itegrals usig Taylor Polyomials. Defiitios................................................

More information

Abstract. 2 x = 1. It is shown by contradiction that the uniqueness

Abstract. 2 x = 1. It is shown by contradiction that the uniqueness Copyright by A. A. Frempog Fermat's Last Theorem Proved o a Sigle Page "5% of the people thik; 0% of the people thik that they thik; ad the other 85% would rather die tha thik."----thomas Ediso "The simplest

More information

Polynomial Functions and Their Graphs

Polynomial Functions and Their Graphs Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively

More information

PUTNAM TRAINING INEQUALITIES

PUTNAM TRAINING INEQUALITIES PUTNAM TRAINING INEQUALITIES (Last updated: December, 207) Remark This is a list of exercises o iequalities Miguel A Lerma Exercises If a, b, c > 0, prove that (a 2 b + b 2 c + c 2 a)(ab 2 + bc 2 + ca

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

Lecture 8. Dirac and Weierstrass

Lecture 8. Dirac and Weierstrass Leture 8. Dira ad Weierstrass Audrey Terras May 5, 9 A New Kid of Produt of Futios You are familiar with the poitwise produt of futios de ed by f g(x) f(x) g(x): You just tae the produt of the real umbers

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

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

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS Joural of Algebra, Number Theory: Advaces ad Applicatios Volume, Number, 00, Pages 7-89 ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS OLCAY KARAATLI ad REFİK KESKİN Departmet

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

MATH 304: MIDTERM EXAM SOLUTIONS

MATH 304: MIDTERM EXAM SOLUTIONS MATH 304: MIDTERM EXAM SOLUTIONS [The problems are each worth five poits, except for problem 8, which is worth 8 poits. Thus there are 43 possible poits.] 1. Use the Euclidea algorithm to fid the greatest

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

NUMERICAL METHODS FOR SOLVING EQUATIONS

NUMERICAL METHODS FOR SOLVING EQUATIONS Mathematics Revisio Guides Numerical Methods for Solvig Equatios Page 1 of 11 M.K. HOME TUITION Mathematics Revisio Guides Level: GCSE Higher Tier NUMERICAL METHODS FOR SOLVING EQUATIONS Versio:. Date:

More information

PROPERTIES OF AN EULER SQUARE

PROPERTIES OF AN EULER SQUARE PROPERTIES OF N EULER SQURE bout 0 the mathematicia Leoard Euler discussed the properties a x array of letters or itegers ow kow as a Euler or Graeco-Lati Square Such squares have the property that every

More information

Commutativity in Permutation Groups

Commutativity in Permutation Groups Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are

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

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

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation

Digital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation Digital Sigal Proessig Homework Solutio Due Moda 4 Otober 00. Problem.4 Followig the method o page, the differee equatio [] (/4[-] + (/[-] x[-] has oeffiiets a0, a -/4, a /, ad b. For these oeffiiets A(z

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

Chapter Vectors

Chapter Vectors Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it

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

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

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

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

More information

Explicit and closed formed solution of a differential equation. Closed form: since finite algebraic combination of. converges for x x0

Explicit and closed formed solution of a differential equation. Closed form: since finite algebraic combination of. converges for x x0 Chapter 4 Series Solutios Epliit ad losed formed solutio of a differetial equatio y' y ; y() 3 ( ) ( 5 e ) y Closed form: sie fiite algebrai ombiatio of elemetary futios Series solutio: givig y ( ) as

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

1. By using truth tables prove that, for all statements P and Q, the statement

1. By using truth tables prove that, for all statements P and Q, the statement Author: Satiago Salazar Problems I: Mathematical Statemets ad Proofs. By usig truth tables prove that, for all statemets P ad Q, the statemet P Q ad its cotrapositive ot Q (ot P) are equivalet. I example.2.3

More information

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities Polyomials with Ratioal Roots that Differ by a No-zero Costat Philip Gibbs The problem of fidig two polyomials P(x) ad Q(x) of a give degree i a sigle variable x that have all ratioal roots ad differ by

More information

The Structure of Z p when p is Prime

The Structure of Z p when p is Prime LECTURE 13 The Structure of Z p whe p is Prime Theorem 131 If p > 1 is a iteger, the the followig properties are equivalet (1) p is prime (2) For ay [0] p i Z p, the equatio X = [1] p has a solutio i Z

More information

Introduction to Machine Learning DIS10

Introduction to Machine Learning DIS10 CS 189 Fall 017 Itroductio to Machie Learig DIS10 1 Fu with Lagrage Multipliers (a) Miimize the fuctio such that f (x,y) = x + y x + y = 3. Solutio: The Lagragia is: L(x,y,λ) = x + y + λ(x + y 3) Takig

More information

Math 475, Problem Set #12: Answers

Math 475, Problem Set #12: Answers Math 475, Problem Set #12: Aswers A. Chapter 8, problem 12, parts (b) ad (d). (b) S # (, 2) = 2 2, sice, from amog the 2 ways of puttig elemets ito 2 distiguishable boxes, exactly 2 of them result i oe

More information

Exponents. Learning Objectives. Pre-Activity

Exponents. Learning Objectives. Pre-Activity Sectio. Pre-Activity Preparatio Epoets A Chai Letter Chai letters are geerated every day. If you sed a chai letter to three frieds ad they each sed it o to three frieds, who each sed it o to three frieds,

More information

2 Geometric interpretation of complex numbers

2 Geometric interpretation of complex numbers 2 Geometric iterpretatio of complex umbers 2.1 Defiitio I will start fially with a precise defiitio, assumig that such mathematical object as vector space R 2 is well familiar to the studets. Recall that

More information

On Nonsingularity of Saddle Point Matrices. with Vectors of Ones

On Nonsingularity of Saddle Point Matrices. with Vectors of Ones Iteratioal Joural of Algebra, Vol. 2, 2008, o. 4, 197-204 O Nosigularity of Saddle Poit Matrices with Vectors of Oes Tadeusz Ostrowski Istitute of Maagemet The State Vocatioal Uiversity -400 Gorzów, Polad

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

Discrete Mathematics for CS Spring 2007 Luca Trevisan Lecture 22

Discrete Mathematics for CS Spring 2007 Luca Trevisan Lecture 22 CS 70 Discrete Mathematics for CS Sprig 2007 Luca Trevisa Lecture 22 Aother Importat Distributio The Geometric Distributio Questio: A biased coi with Heads probability p is tossed repeatedly util the first

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

An Elementary and Simple Proof of Fermat s Last Theorem

An Elementary and Simple Proof of Fermat s Last Theorem A Elemetary ad Simple Proof of Fermat s Last Theorem Mie Wiler Faultät für Mathemati, Ruhr-Uiversität Bochum mie.wiler@ruhr-ui-bochum.de www.miewiler.co.f March 19, 2018 Abstract Fermat s Last Theorem

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

Some examples of vector spaces

Some examples of vector spaces Roberto s Notes o Liear Algebra Chapter 11: Vector spaces Sectio 2 Some examples of vector spaces What you eed to kow already: The te axioms eeded to idetify a vector space. What you ca lear here: Some

More information

EECS 455 Solutions to Problem Set 8

EECS 455 Solutions to Problem Set 8 . Problem 7.55 o text EECS 455 Solutios to Problem Set 8 a) For repeaters i asade, the probability o i out o repeaters to produe a error is give by the biomial distributio P i p i p i However, there is

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

G r a d e 1 1 P r e - C a l c u l u s M a t h e m a t i c s ( 3 0 S )

G r a d e 1 1 P r e - C a l c u l u s M a t h e m a t i c s ( 3 0 S ) G r a d e 1 1 P r e - C a l c u l u s M a t h e m a t i c s ( 3 0 S ) Grade 11 Pre-Calculus Mathematics (30S) is desiged for studets who ited to study calculus ad related mathematics as part of post-secodary

More information

THE KENNESAW STATE UNIVERSITY HIGH SCHOOL MATHEMATICS COMPETITION PART II Calculators are NOT permitted Time allowed: 2 hours

THE KENNESAW STATE UNIVERSITY HIGH SCHOOL MATHEMATICS COMPETITION PART II Calculators are NOT permitted Time allowed: 2 hours THE 06-07 KENNESAW STATE UNIVERSITY HIGH SCHOOL MATHEMATICS COMPETITION PART II Calculators are NOT permitted Time allowed: hours Let x, y, ad A all be positive itegers with x y a) Prove that there are

More information

Statistics 511 Additional Materials

Statistics 511 Additional Materials Cofidece Itervals o mu Statistics 511 Additioal Materials This topic officially moves us from probability to statistics. We begi to discuss makig ifereces about the populatio. Oe way to differetiate probability

More information

Fourier Series and the Wave Equation

Fourier Series and the Wave Equation Fourier Series ad the Wave Equatio We start with the oe-dimesioal wave equatio u u =, x u(, t) = u(, t) =, ux (,) = f( x), u ( x,) = This represets a vibratig strig, where u is the displacemet of the strig

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

We will conclude the chapter with the study a few methods and techniques which are useful

We will conclude the chapter with the study a few methods and techniques which are useful Chapter : Coordiate geometry: I this chapter we will lear about the mai priciples of graphig i a dimesioal (D) Cartesia system of coordiates. We will focus o drawig lies ad the characteristics of the graphs

More information

Lecture 2: Monte Carlo Simulation

Lecture 2: Monte Carlo Simulation STAT/Q SCI 43: Itroductio to Resamplig ethods Sprig 27 Istructor: Ye-Chi Che Lecture 2: ote Carlo Simulatio 2 ote Carlo Itegratio Assume we wat to evaluate the followig itegratio: e x3 dx What ca we do?

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

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

ME203 Section 4.1 Forced Vibration Response of Linear System Nov 4, 2002 (1) kx c x& m mg

ME203 Section 4.1 Forced Vibration Response of Linear System Nov 4, 2002 (1) kx c x& m mg ME3 Setio 4.1 Fored Vibratio Respose of Liear Syste Nov 4, Whe a liear ehaial syste is exited by a exteral fore, its respose will deped o the for of the exitatio fore F(t) ad the aout of dapig whih is

More information

Lesson 8 Refraction of Light

Lesson 8 Refraction of Light Physis 30 Lesso 8 Refratio of Light Refer to Pearso pages 666 to 674. I. Refletio ad Refratio of Light At ay iterfae betwee two differet mediums, some light will be refleted ad some will be refrated, exept

More information

Calculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER

Calculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER Calulus TAYLO SEIES CONVEGENCE AND TAYLO EMAINDE Let the differee betwee f () ad its Taylor polyomial approimatio of order be (). f ( ) P ( ) + ( ) Cosider to be the remaider with the eat value ad the

More information

Castiel, Supernatural, Season 6, Episode 18

Castiel, Supernatural, Season 6, Episode 18 13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio

More information

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e.

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e. Theorem: Let A be a square matrix The A has a iverse matrix if ad oly if its reduced row echelo form is the idetity I this case the algorithm illustrated o the previous page will always yield the iverse

More information

Tennessee Department of Education

Tennessee Department of Education Teessee Departmet of Educatio Task: Comparig Shapes Geometry O a piece of graph paper with a coordiate plae, draw three o-colliear poits ad label them A, B, C. (Do ot use the origi as oe of your poits.)

More information

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms.

[ 11 ] z of degree 2 as both degree 2 each. The degree of a polynomial in n variables is the maximum of the degrees of its terms. [ 11 ] 1 1.1 Polyomial Fuctios 1 Algebra Ay fuctio f ( x) ax a1x... a1x a0 is a polyomial fuctio if ai ( i 0,1,,,..., ) is a costat which belogs to the set of real umbers ad the idices,, 1,...,1 are atural

More information

PROBLEMS AND SOLUTIONS 2

PROBLEMS AND SOLUTIONS 2 PROBEMS AND SOUTIONS Problem 5.:1 Statemet. Fid the solutio of { u tt = a u xx, x, t R, u(x, ) = f(x), u t (x, ) = g(x), i the followig cases: (b) f(x) = e x, g(x) = axe x, (d) f(x) = 1, g(x) =, (f) f(x)

More information

Induction: Solutions

Induction: Solutions Writig Proofs Misha Lavrov Iductio: Solutios Wester PA ARML Practice March 6, 206. Prove that a 2 2 chessboard with ay oe square removed ca always be covered by shaped tiles. Solutio : We iduct o. For

More information

Induction proofs - practice! SOLUTIONS

Induction proofs - practice! SOLUTIONS Iductio proofs - practice! SOLUTIONS 1. Prove that f ) = 6 + + 15 is odd for all Z +. Base case: For = 1, f 1) = 41) + 1) + 13 = 19. Sice 19 is odd, f 1) is odd - base case prove. Iductive hypothesis:

More information

The Use of Filters in Topology

The Use of Filters in Topology The Use of Filters i Topology By ABDELLATF DASSER B.S. Uiversity of Cetral Florida, 2002 A thesis submitted i partial fulfillmet of the requiremets for the degree of Master of Siee i the Departmet of Mathematis

More information