Inequalities of Olympiad Caliber. RSME Olympiad Committee BARCELONA TECH
|
|
- Katherine Smith
- 5 years ago
- Views:
Transcription
1 Ineulities of Olymid Clier José Luis Díz-Brrero RSME Olymid Committee BARCELONA TECH
2
3 José Luis Díz-Brrero RSME Olymi Committee UPC BARCELONA TECH Bsi fts to rove ineulities Herefter, some useful fts for roving ineulities re resented:. If x y nd y z then holds x z for ny x, y, z R.. If x y nd then x y for ny x, y,, R.. If x y then x z y z for ny x, y, z R. 4. If nd > 0 then for ny, R. 5. If nd < 0 then for ny, R. 6. If x y nd then x y for ny x, y R or, R. 7. Let,, R suh tht then. 8. Let x, y, z, t R suh tht x y z t then xy z xy t xz t y z t. 9. If x R then x 0 with eulity if nd only if x = If A i R nd x i R, i n then holds A x A x A x... A nx n 0, with eulity if nd only if x = x = x =... = x n = 0.
4 José Luis Díz-Brrero RSME Olymi Committee UPC BARCELONA TECH Ineulities Wrm-u. Prove the following sttements:. If > 0, then holds. If < 0, then holds.. Let >, <. Then, > holds.. Let, e ositive numers, then holds. 4. Let, e ositive numers, then holds If >, then > holds. Pietro Mengoli Let, e ositive numers suh tht =, then holds 5. Prove the following sttements:. Let,, e nonnegtive rel numers, then holds Let,, e ositive numers suh tht, then holds / / /. Let,, e the length of the sides of tringle ABC. Then, holds. 4. Let,, e ositive numers suh tht =, then holds Let,, e ositive numers, then holds Nesitt Let,, e ositive numers lying in the intervl 0, ]. Then holds I hoe you enjoy solving the reeding roosls nd e sure tht I will e very lesed heking nd disussing your nie solutions.
5 José Luis Díz-Brrero RSME Olymi Committee UPC BARCELONA TECH SET. Let x, y, z e stritly ositive rel numers. Prove tht x y z y xyz z x z xyz x y xyz. Let x, y, nd z e three distint ositive rel numers suh tht x y z = z y x Prove tht 40xz <.. Let,, nd e ositive rel numers. Prove tht Let,, e ositive rel numers suh tht =. Prove tht Let,, e three ositive numers suh tht =. Prove tht 4 6. Let,, e three ositive numers suh tht =. Prove tht 5 /5 5 5 I hoe you enjoy solving the reeding roosls nd e sure tht I will e very lesed heking nd disussing your nie solutions.
6 José Luis Díz-Brrero RSME Olymi Committee UPC BARCELONA TECH Solutions Wrm-u. Prove the following sttements:. If > 0, then holds. If < 0, then holds.. Let >, <. Then, > holds.. Let, e ositive numers, then holds. 4. Let, e ositive numers, then holds If >, then > holds. Pietro Mengoli Let, e ositive numers suh tht =, then holds 5 Solution. From the ineulity x 0 or x x immeditely follows x /x fter division y x > 0. Eulity holds when x =. Likewise, from x 0 or x x we get x /x fter division y x < 0 ft 5. Eulity holds when x =. An lterntive roof n e otined finding the mximum nd minimum of the funtion fx = x /x. Finlly, utting x = / in the reeding the ineulities limed re roven. Solution. From > nd < or > 0 nd > 0, we hve tht = = > 0 nd we re done. Solution. We hve nd = on ount of men ineulities. Multilying u the reeding we get the ineulity limed. Eulity holds when =. Solution.4 We oserve tht 4 or euivlently 4 = 0 4
7 whih trivilly holds with eulity when = /. Solution.5 Note tht the ineulity given is euivlent to >. Now lying HM-AM ineulity to the ositive numers nd yields = with eulity if nd only if = whih is imossile. So, the ineulity given is strit. Solution.6 On ount tht x y xy, we hve [ ] = = 5 euse from = immeditely follows = nd 4. Eulity holds when = = / nd we re done. Notie tht this ineulity is generliztion of the well-known ineulity sin x sin os x 5 x os x. Prove the following sttements:. Let,, e nonnegtive rel numers, then holds Let,, e ositive numers suh tht, then holds / / /. Let,, e the length of the sides of tringle ABC. Then, holds. 4. Let,, e ositive numers suh tht =, then holds Let,, e ositive numers, then holds Nesitt Let,, e ositive numers lying in the intervl 0, ]. Then holds 5
8 Solution. Alying AM-GM ineulity, we hve = Eulity holds when = = nd we re done. Solution. We egin roving tht. Indeed, this ineulity is eui- vlent to whih trivilly holds on ount of the ft tht 0 <. Next we rove tht To do it, we need the ineulity whih follows immeditely dding u the trivil ineulities,,, nd the identity = tht n e esily heked. Comining the reeding results, we get 0. Now utting = x, = y, = z, we hve x y z xyz x y z xyz Alying this ineulity to the ositive numers /, / nd / yields Inverting terms immeditely follows ineulity terms.. To rove tht we sure oth sides nd we get or euivlently,. It holds s ws roven efore. Finlly, the trivilly holds fter suring its oth sides nd rerrnging Solution. Sine,, re the lengths of the sides of tringle, then >, > nd >. Then, we n write =, =, =. Alying CBS ineulity to the vetors u =,, nd v =,, yields = from whih the sttement follows. Eulity holds when = = nd we re done. 6
9 Solution.4 We hve = = 64 on ount tht from =, nd lying men ineulities, immeditely follows 7, 9 nd = = 7. Eulity holds when = = = /. Solution.5 We hve or 6 from whih immeditely follows Eulity holds when = =. 6 Solution.6 Sine =, then Likewise, we hve Therefore, = =, =. = Eulity holds when t lest two of the,, re eul to one, nd we re done. 7
10 José Luis Díz-Brrero RSME Olymi Committee UPC BARCELONA TECH Solutions. Let x, y, z e stritly ositive rel numers. Prove tht x y z y xyz z x z xyz x y xyz Solution. Alying AM-QM ineulity, yields [ x y z y xyz z x z xyz x from whih follows x y 9 x y y z z x x y z xyz z y xyz z x y y z z x x y z xyz = x z xyz x x y z xyz y ] xyz y xyz x y y z z x x y z xyz euse x y z on ount of AM-GM ineulity. Eulity holds when x = xyz y = z nd we re done. Solution. Setting = x xyz, = y xyz nd = To rove the reeding ineulity we set u = into the CBS ineulity nd we otin z xyz into the sttement yields,,, v =,, 8
11 = [ ] [ ] Now, tking into ount tht = nd lying the AM-GM ineulity twie, we get Therefore, on ount of the reeding, we hve [ ] = 6 nd we re done. Note tht eulity holds when x = y = z.. Let x, y, nd z e three distint ositive rel numers suh tht x y z = z y x Prove tht 40xz <. Solution. From x y z = z y x we otin x z = y x y z nd x z y x y z = y x y z y x y z = x z Sine x z, dividing y oth sides of the reeding exression y x z yields x z y x y z = On the other hnd, sine x, y, nd z re ositive, then 4 x < y x nd 4 z < y z. Therefore, x z 4 x 4 z < x z y x y z = Alying AM-GM ineulity, we otin 4 xz x z, nd 8 xz 4 x 4 z. Multilying u the lst two ineulities, we get 4 8 xz x z 4 x 4 z < 9
12 Thus, xz /8 < 4 nd 8/ xz < = 4 from whih follows 40xz < < = 40. Let,, nd e ositive rel numers. Prove tht Solution. WLOG we n ssume tht from whih immeditely follows tht nd. Sine the first nd the lst seuenes re sorted in the sme wy, y lying rerrngement ineulity, we get Adding u the reeding ineulities, yields 5 6 from whih we otin Tking into ount AM-QM ineulity, we hve [ 5 5 ] from whih the sttement follows. Eulity holds when = = nd we re done. 4. Let,, e ositive rel numers suh tht =. Prove tht Solution. Suring oth terms, we get
13 , Alying CBS to the vetors u =, nd v = 4, 4, 4 we otin From = nd the well-known ineulity immeditely follows 4/. Eulity holds when = = = /. On the other hnd, 4 = = 4/ The lst ineulity holds in ount of HM-GM ineulity. Likewise, 4 nd 4 Adding the reeding ineulities, we otin 4 Therefore, 4 4 = = Eulity holds when = = = /. From the reeding, we hve nd the sttement follows. Eulity holds when = = = /, nd we re done. 5. Let,, e three ositive numers suh tht =. Prove tht 4
14 Solution. First we oserve tht from nd the onstrin, immeditely follows tht. Multilying nd dividing the LHS of the ineulity limed y we hve 7 7 = 8 = 8 In the reeding we hve used the ineulity f/ f, where w α w α w α fα = w w w is the men owered ineulity with weights w = nd w = re done. /α, w =, resetively. Eulity holds when = = = /, nd we Solution. First, using the onstrin, we write the ineulity limed in the most onvenient form 4/ = 4/ To rove the reeding ineulity, we onsider the funtion f : [0, R defined y ft = t 7/ whih is onvex, s n e esily heked. Alying Jensen s ineulity, with = A, = A, = A, where A = ; nd x =, x =, x =, we hve f f f f, or euivlently, A 7/ A 7/ A 7/ A 7/
15 Rerrnging terms, nd fter simlifition, we otin [ ] 7/ [ ] 4/ [ ] 7/ [ ] 4/ = 4/ 4 on ount of the well-known ineulity. Eulity holds when = = = /, nd we re done. 6. Let,, e three ositive numers suh tht =. Prove tht 5 /5 5 5 Solution. To rove the ineulity limed we onsider the funtion f : R R defined y ft = t 5. This funtion is onvex in [0, s n e esily heked. Alying Jensen s ineulity, nmely k fx k f k x k k= k= with nd yields =, = x =, x = [, =, x = 5, 5 5 ] or euivlently, where we hve used the onstrin =. Now, it is esy to see tht 5
16 Indeed, WLOG we n ssume tht from whih follows nd. Now, lying rerrngement ineulity, we get Adding the reeding exressions, we otin Eulity holds when = =. Nesitt s Ineulity Finlly, sustituting this result in the reeding the sttement follows. holds when = = = /, nd we re done. Eulity Solution. We rell tht Hölder s ineulity n e stted s follows: Let,,..., n nd,,..., n, n, e seuenes of ositive rel numers nd let, R suh tht =, then the following ineulity holds n i= i n i= i n i i i= Prtiulrizing the reeding result for n = with = 5/4, = 5 for whih / / =, we get i i i= 5/4 i Putting in the ove result = 8/5, = 8/5, = 8/5, = /5, = /5 yields i= 5 i i= /5, = [ 8/5 5/4 8/5 5/4 8/5 ] [ 5/4 4/5 5 5 ] 5 /5 /5 /5 /5 or euivlently, 4/5 5 /5 5 5 from whih the sttement follows on ount of the onstrin nd Nesitt s ineulity. Eulity holds when when = = = /, nd we re done. Solution y Emilio Fernández Morl. On ount of men ineulities we hve 5 /5 /
17 = 5 /5/ /5 euse = nd /0 /5 = /0 /0 = = nd /5//0 =. Eulity holds when = = = /. /0 5
18 José Luis Díz-Brrero RSME Olymi Committee UPC BARCELONA TECH Some Results Herefter, some lssil disrete ineulities re stted nd roven. We egin with Theorem Generl Men Ineulities Let,,..., n e ositive rel numers. Then, the funtion f : R R defined y α fα = α... α n n /α is nonderesing nd the following limits hold } lim fα = min { i, lim fα = n... n, α i n α 0 } lim fα = mx { i α i n Proof. Let 0 < <. Consider the funtion g : [0, R defined y gα = α /. Sine g α = α / 0, α 0, then g is onvex in [0,. Alying Jensen s ineulity, we get g n α j n gα j n n or n j= n j= α j / from whih follows f f. For negtive vlues of α onsider the funtion hα = α / whih is onvex in, 0. Let L = j= n α lim = lim α... /α α n. Tht is, α α n ln L = [ α lim α α ln α... ] α n n = α lim α ln... α n ln n α α α... α n = ln min i n { i } n j= α j 6
19 from whih follows L = } { i mx i n } min { i. Likewise, we otin tht L = lim fα = i n α. Finlly, denoting y L = lim α 0 fα, we hve [ α ln L = lim α 0 α ln α... ] α n n = lim α 0 α ln α ln... α n ln n α α... α n = ln ln... ln n n = ln n... n from whih immeditely follows lim fα = n... n nd the roof is omlete. α 0 In 8 Cuhy ulished his fmous ineulity s the seond of the two notes on the theory of ineulities tht formed the finl rt of his ook Cours d Anlyse Algériue. Nmely, Theorem Let,,..., n,,,..., n e ny rel numers. Then, the following ineulity holds: n n n k k k= k= Proof. Consider the udrti olynomil Ax = Ax = x n k= k x n k= k k= k n k x k. Then, k= k k n k 0 Sine the reeding eution is nonnegtive its disriminnt must e less or eul thn zero. Tht is, n n n k k 0 k= k= from whih the sttement follows. Eulity holds when the n-tules,,..., n nd,,..., n re roortionl. This omletes the roof. A generliztion of CBS ineulity is the well known ineulity of Hölder. It is stted nd roved in the following theorem. Theorem Let,,..., n nd,,..., n, n e seuenes of ositive rel numers nd let, R suh tht =, then the following ineulity holds n i= i n i= i k k= k= k n i i. Proof. We will rgue y indution. Assume tht the ineulity holds for n nd we hve to rove it for n. In ft, n i= i i = n n i i n n i= i= i i= n i= i n n 7
20 n i n i= n i n i= = n i= i n To omlete the indutive roess, we must verify tht the se when n = lso holds. Indeed, the ineulity, immedite follows from the ft tht the funtion fx = x x, is stritly ositive for ll x > 0. This omletes the roof. Proof. First, we write the ineulity in the most onvenient form n i= i i n i= n i i= i or euivlently, n i= i n i= i Now, using the ower men ineulity, i n i= i x α y β α x β y,. i= i. we hve n i= i n i= i i n i= i n [ i= i n i= i ] i n i= i = n i= i n i= i n i= i n i= i = =, s desired. Eulity holds if nd only if the n-tules,,..., n nd,,..., n re roortionl. Notie tht for = =, we get the ineulity... n n... n... n This is the Cuhy-Bunykowski-Shwrz ineulity. Using Hölder s ineulity n e esily roven the following ineulity of Minkowski. Theorem 4 Let,,..., n nd,,..., n, n e seuenes of ositive rel numers nd let >, e rel numer, then n i i i= n i= i n i= i When < ineulity reverses. 8
21 Proof. Let e = n i= i, then n i i = i= =, nd lying Hölder s ineulity, we otin n i i i i= n n i i i= n = i= i n i= i i= i n i i i i= n i i i= n i i Multilying the reeding ineulity y n i= i i, we get i= n i i i= n i= i n i= i nd the roof is omlete. Eulity holds if nd only if,,..., n nd,,..., n re roortionl. A most useful result is resented in the following Theorem 5 Rerrngement Let,,, n nd,,, n e seuenes of ositive rel numers nd let,,, n e ermuttion of,,, n. The sum S = n n is mximl if the two seuenes,,, n nd,,, n re sorted in the sme wy nd miniml if the two seuenes re sorted oositely, one inresing nd the other deresing. Proof. Let i > j. Consider the sums S = i i j j n n S = i j j i n n We hve otined S from S y swithing the ositions of i nd j. Then S S = i i j j i j j i = i j i j Therefore, This omletes the roof. i > j S > S nd i < j S < S. In the seuel, fter defining the onets of onvex nd onve funtion, the ineulity of Jensen is resented. Definition. Let f : I R R e rel funtion. We sy tht f is onvex onve on I if for ll, I nd for ll t [0, ], we hve ft t f tf When f is onve the ineulity reverses. 9
22 Theorem 6 Let f : I R R e onvex funtion. Let,,..., n e nonnegtive rel numers suh tht... n =. Then for ll k I k n holds n n f k k k f k k= Eulity holds when = =... = n. If f is onve the reeding ineulity reverses. Proof. We will rgue y mthemtil indution. For n =, we hve k= f f f The reeding ineulity holds euse f is onvex nd =. Assume tht n n f k k k f k nd we hve to see tht f k= n k= k k k= n k= k f k when... n n =. Let = n n k= k k. Then, we hve =, k= n k k I nd n =. Now, tking into ount the se when n = k= nd the indutive hyothesis, yields f n k= k k = f = f [ n n n k= n k= k k= k k= k k f k k n n ] k n f n f k n f n nd y the rinile of mthemtil indution PMI the sttement is roven. Eulity holds when = =... = n. 0
23 Think out Pulhr diuntur ue vis lent euty is tht whih, eing seen, leses. This definition, lies well to Mthemtil euty in whih lk of understnding is so often resonsile of lk of lesure. Thoms Auin s definition of Beuty
How many proofs of the Nebitt s Inequality?
How mny roofs of the Neitt s Inequlity? Co Minh Qung. Introdution On Mrh, 90, Nesitt roosed the following rolem () The ove inequlity is fmous rolem. There re mny eole interested in nd solved (). In this
More informationIntroduction to Olympiad Inequalities
Introdution to Olympid Inequlities Edutionl Studies Progrm HSSP Msshusetts Institute of Tehnology Snj Simonovikj Spring 207 Contents Wrm up nd Am-Gm inequlity 2. Elementry inequlities......................
More information1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.
1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the
More information6.5 Improper integrals
Eerpt from "Clulus" 3 AoPS In. www.rtofprolemsolving.om 6.5. IMPROPER INTEGRALS 6.5 Improper integrls As we ve seen, we use the definite integrl R f to ompute the re of the region under the grph of y =
More informationT b a(f) [f ] +. P b a(f) = Conclude that if f is in AC then it is the difference of two monotone absolutely continuous functions.
Rel Vribles, Fll 2014 Problem set 5 Solution suggestions Exerise 1. Let f be bsolutely ontinuous on [, b] Show tht nd T b (f) P b (f) f (x) dx [f ] +. Conlude tht if f is in AC then it is the differene
More informationQuadratic reciprocity
Qudrtic recirocity Frncisc Bozgn Los Angeles Mth Circle Octoer 8, 01 1 Qudrtic Recirocity nd Legendre Symol In the eginning of this lecture, we recll some sic knowledge out modulr rithmetic: Definition
More informationDuke Math Meet
Duke Mth Meet 01-14 Power Round Qudrtic Residues nd Prime Numers For integers nd, we write to indicte tht evenly divides, nd to indicte tht does not divide For exmle, 4 nd 4 Let e rime numer An integer
More informationMAT 403 NOTES 4. f + f =
MAT 403 NOTES 4 1. Fundmentl Theorem o Clulus We will proo more generl version o the FTC thn the textook. But just like the textook, we strt with the ollowing proposition. Let R[, ] e the set o Riemnn
More informationConvex Sets and Functions
B Convex Sets nd Functions Definition B1 Let L, +, ) be rel liner spce nd let C be subset of L The set C is convex if, for ll x,y C nd ll [, 1], we hve 1 )x+y C In other words, every point on the line
More informationPRIMES AND QUADRATIC RECIPROCITY
PRIMES AND QUADRATIC RECIPROCITY ANGELICA WONG Abstrct We discuss number theory with the ultimte gol of understnding udrtic recirocity We begin by discussing Fermt s Little Theorem, the Chinese Reminder
More informationQUADRATIC RESIDUES MATH 372. FALL INSTRUCTOR: PROFESSOR AITKEN
QUADRATIC RESIDUES MATH 37 FALL 005 INSTRUCTOR: PROFESSOR AITKEN When is n integer sure modulo? When does udrtic eution hve roots modulo? These re the uestions tht will concern us in this hndout 1 The
More informationArrow s Impossibility Theorem
Rep Voting Prdoxes Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Voting Prdoxes Properties Arrow s Theorem Leture Overview 1 Rep
More informationArrow s Impossibility Theorem
Rep Fun Gme Properties Arrow s Theorem Arrow s Impossiility Theorem Leture 12 Arrow s Impossiility Theorem Leture 12, Slide 1 Rep Fun Gme Properties Arrow s Theorem Leture Overview 1 Rep 2 Fun Gme 3 Properties
More informationQUADRATIC EQUATION. Contents
QUADRATIC EQUATION Contents Topi Pge No. Theory 0-04 Exerise - 05-09 Exerise - 09-3 Exerise - 3 4-5 Exerise - 4 6 Answer Key 7-8 Syllus Qudrti equtions with rel oeffiients, reltions etween roots nd oeffiients,
More informationPart 4. Integration (with Proofs)
Prt 4. Integrtion (with Proofs) 4.1 Definition Definition A prtition P of [, b] is finite set of points {x 0, x 1,..., x n } with = x 0 < x 1
More informationMore Properties of the Riemann Integral
More Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologil Sienes nd Deprtment of Mthemtil Sienes Clemson University Februry 15, 2018 Outline More Riemnn Integrl Properties The Fundmentl
More informationCS 573 Automata Theory and Formal Languages
Non-determinism Automt Theory nd Forml Lnguges Professor Leslie Lnder Leture # 3 Septemer 6, 2 To hieve our gol, we need the onept of Non-deterministi Finite Automton with -moves (NFA) An NFA is tuple
More informationThe Riemann-Stieltjes Integral
Chpter 6 The Riemnn-Stieltjes Integrl 6.1. Definition nd Eistene of the Integrl Definition 6.1. Let, b R nd < b. ( A prtition P of intervl [, b] is finite set of points P = { 0, 1,..., n } suh tht = 0
More informationHomework 1 Solutions. 1. (Theorem 6.12(c)) Let f R(α) on [a, b] and a < c < b. Show f R(α) on [a, c] and [c, b] and that
Homework Solutions. (Theorem 6.(c)) Let f R(α) on [, b] nd < c < b. Show f R(α) on [, c] nd [c, b] nd tht fdα = ˆ c fdα + c fdα Solution. Let ɛ > 0 nd let be rtition of [, b] such tht U(, f, α) L(, f,
More informationBasics of Olympiad Inequalities. Samin Riasat
Bsics of Olympid Inequlities Smin Rist ii Introduction The im of this note is to cquint students, who wnt to prticipte in mthemticl Olympids, to Olympid level inequlities from the sics Inequlities re used
More informationSection 1.3 Triangles
Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior
More informationMATH1050 Cauchy-Schwarz Inequality and Triangle Inequality
MATH050 Cuchy-Schwrz Inequlity nd Tringle Inequlity 0 Refer to the Hndout Qudrtic polynomils Definition (Asolute extrem for rel-vlued functions of one rel vrile) Let I e n intervl, nd h : D R e rel-vlued
More informationPolynomials and Division Theory
Higher Checklist (Unit ) Higher Checklist (Unit ) Polynomils nd Division Theory Skill Achieved? Know tht polynomil (expression) is of the form: n x + n x n + n x n + + n x + x + 0 where the i R re the
More informationMcGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected Exercises. g(x) 2 dx 1 2 a
McGill University Mth 354: Honors Anlysis 3 Fll 2012 Assignment 1 Solutions to selected Exercises Exercise 1. (i) Verify the identity for ny two sets of comlex numers { 1,..., n } nd { 1,..., n } ( n )
More informationp-adic Egyptian Fractions
p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction
More informationNumbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point
GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply
More informationk and v = v 1 j + u 3 i + v 2
ORTHOGONAL FUNCTIONS AND FOURIER SERIES Orthogonl functions A function cn e considered to e generliztion of vector. Thus the vector concets like the inner roduct nd orthogonlity of vectors cn e extended
More informationAP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals
AP Clulus BC Chpter 8: Integrtion Tehniques, L Hopitl s Rule nd Improper Integrls 8. Bsi Integrtion Rules In this setion we will review vrious integrtion strtegies. Strtegies: I. Seprte the integrnd into
More informationA Study on the Properties of Rational Triangles
Interntionl Journl of Mthemtis Reserh. ISSN 0976-5840 Volume 6, Numer (04), pp. 8-9 Interntionl Reserh Pulition House http://www.irphouse.om Study on the Properties of Rtionl Tringles M. Q. lm, M.R. Hssn
More informationMATH 409 Advanced Calculus I Lecture 22: Improper Riemann integrals.
MATH 409 Advned Clulus I Leture 22: Improper Riemnn integrls. Improper Riemnn integrl If funtion f : [,b] R is integrble on [,b], then the funtion F(x) = x f(t)dt is well defined nd ontinuous on [,b].
More informationOptimal Network Design with End-to-End Service Requirements
ONLINE SUPPLEMENT for Optiml Networ Design with End-to-End Service Reuirements Anntrm Blrishnn University of Tes t Austin, Austin, TX Gng Li Bentley University, Wlthm, MA Prsh Mirchndni University of Pittsurgh,
More informationThe Area of a Triangle
The e of Tingle tkhlid June 1, 015 1 Intodution In this tile we will e disussing the vious methods used fo detemining the e of tingle. Let [X] denote the e of X. Using se nd Height To stt off, the simplest
More information16z z q. q( B) Max{2 z z z z B} r z r z r z r z B. John Riley 19 October Econ 401A: Microeconomic Theory. Homework 2 Answers
John Riley 9 Otober 6 Eon 4A: Miroeonomi Theory Homework Answers Constnt returns to sle prodution funtion () If (,, q) S then 6 q () 4 We need to show tht (,, q) S 6( ) ( ) ( q) q [ q ] 4 4 4 4 4 4 Appeling
More informationINEQUALITIES. Ozgur Kircak
INEQUALITIES Ozgur Kirk Septemer 27, 2009 2 Contents MEANS INEQUALITIES 5. EXERCISES............................. 7 2 CAUCHY-SCHWARZ INEQUALITY 2. EXERCISES............................. REARRANGEMENT INEQUALITY
More informationFarey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University
U.U.D.M. Project Report 07:4 Frey Frctions Rickrd Fernström Exmensrete i mtemtik, 5 hp Hledre: Andres Strömergsson Exmintor: Jörgen Östensson Juni 07 Deprtment of Mthemtics Uppsl University Frey Frctions
More informationDefinite Integrals. The area under a curve can be approximated by adding up the areas of rectangles = 1 1 +
Definite Integrls --5 The re under curve cn e pproximted y dding up the res of rectngles. Exmple. Approximte the re under y = from x = to x = using equl suintervls nd + x evluting the function t the left-hnd
More informationAlgorithm Design and Analysis
Algorithm Design nd Anlysis LECTURE 5 Supplement Greedy Algorithms Cont d Minimizing lteness Ching (NOT overed in leture) Adm Smith 9/8/10 A. Smith; sed on slides y E. Demine, C. Leiserson, S. Rskhodnikov,
More informationSection 4.4. Green s Theorem
The Clulus of Funtions of Severl Vriles Setion 4.4 Green s Theorem Green s theorem is n exmple from fmily of theorems whih onnet line integrls (nd their higher-dimensionl nlogues) with the definite integrls
More informationSymmetrical Components 1
Symmetril Components. Introdution These notes should e red together with Setion. of your text. When performing stedy-stte nlysis of high voltge trnsmission systems, we mke use of the per-phse equivlent
More informationQuadratic Forms. Quadratic Forms
Qudrtic Forms Recll the Simon & Blume excerpt from n erlier lecture which sid tht the min tsk of clculus is to pproximte nonliner functions with liner functions. It s ctully more ccurte to sy tht we pproximte
More informationDiscrete Structures Lecture 11
Introdution Good morning. In this setion we study funtions. A funtion is mpping from one set to nother set or, perhps, from one set to itself. We study the properties of funtions. A mpping my not e funtion.
More informationINTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable
INTEGRATION NOTE: These notes re supposed to supplement Chpter 4 of the online textbook. 1 Integrls of Complex Vlued funtions of REAL vrible If I is n intervl in R (for exmple I = [, b] or I = (, b)) nd
More informationPolynomials. Polynomials. Curriculum Ready ACMNA:
Polynomils Polynomils Curriulum Redy ACMNA: 66 www.mthletis.om Polynomils POLYNOMIALS A polynomil is mthemtil expression with one vrile whose powers re neither negtive nor frtions. The power in eh expression
More informationCIRCULAR COLOURING THE PLANE
CIRCULAR COLOURING THE PLANE MATT DEVOS, JAVAD EBRAHIMI, MOHAMMAD GHEBLEH, LUIS GODDYN, BOJAN MOHAR, AND REZA NASERASR Astrct. The unit distnce grph R is the grph with vertex set R 2 in which two vertices
More informationHomework Solution - Set 5 Due: Friday 10/03/08
CE 96 Introduction to the Theory of Computtion ll 2008 Homework olution - et 5 Due: ridy 10/0/08 1. Textook, Pge 86, Exercise 1.21. () 1 2 Add new strt stte nd finl stte. Mke originl finl stte non-finl.
More informationAlgorithm Design and Analysis
Algorithm Design nd Anlysis LECTURE 8 Mx. lteness ont d Optiml Ching Adm Smith 9/12/2008 A. Smith; sed on slides y E. Demine, C. Leiserson, S. Rskhodnikov, K. Wyne Sheduling to Minimizing Lteness Minimizing
More informationLecture 1 - Introduction and Basic Facts about PDEs
* 18.15 - Introdution to PDEs, Fll 004 Prof. Gigliol Stffilni Leture 1 - Introdution nd Bsi Fts bout PDEs The Content of the Course Definition of Prtil Differentil Eqution (PDE) Liner PDEs VVVVVVVVVVVVVVVVVVVV
More informationMid-Term Examination - Spring 2014 Mathematical Programming with Applications to Economics Total Score: 45; Time: 3 hours
Mi-Term Exmintion - Spring 0 Mthemtil Progrmming with Applitions to Eonomis Totl Sore: 5; Time: hours. Let G = (N, E) e irete grph. Define the inegree of vertex i N s the numer of eges tht re oming into
More informationMA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.
MA123, Chpter 1: Formuls for integrls: integrls, ntiderivtives, nd the Fundmentl Theorem of Clculus (pp. 27-233, Gootmn) Chpter Gols: Assignments: Understnd the sttement of the Fundmentl Theorem of Clculus.
More informationINEQUALITIES OF HERMITE-HADAMARD S TYPE FOR FUNCTIONS WHOSE DERIVATIVES ABSOLUTE VALUES ARE QUASI-CONVEX
INEQUALITIES OF HERMITE-HADAMARD S TYPE FOR FUNCTIONS WHOSE DERIVATIVES ABSOLUTE VALUES ARE QUASI-CONVEX M. ALOMARI A, M. DARUS A, AND S.S. DRAGOMIR B Astrct. In this er, some ineulities of Hermite-Hdmrd
More informationLecture 3 ( ) (translated and slightly adapted from lecture notes by Martin Klazar)
Lecture 3 (5.3.2018) (trnslted nd slightly dpted from lecture notes by Mrtin Klzr) Riemnn integrl Now we define precisely the concept of the re, in prticulr, the re of figure U(, b, f) under the grph of
More informationFor a, b, c, d positive if a b and. ac bd. Reciprocal relations for a and b positive. If a > b then a ab > b. then
Slrs-7.2-ADV-.7 Improper Definite Integrls 27.. D.dox Pge of Improper Definite Integrls Before we strt the min topi we present relevnt lger nd it review. See Appendix J for more lger review. Inequlities:
More informationGreen s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e
Green s Theorem. Let be the boundry of the unit squre, y, oriented ounterlokwise, nd let F be the vetor field F, y e y +, 2 y. Find F d r. Solution. Let s write P, y e y + nd Q, y 2 y, so tht F P, Q. Let
More information12.4 Similarity in Right Triangles
Nme lss Dte 12.4 Similrit in Right Tringles Essentil Question: How does the ltitude to the hpotenuse of right tringle help ou use similr right tringles to solve prolems? Eplore Identifing Similrit in Right
More informationCHENG Chun Chor Litwin The Hong Kong Institute of Education
PE-hing Mi terntionl onferene IV: novtion of Mthemtis Tehing nd Lerning through Lesson Study- onnetion etween ssessment nd Sujet Mtter HENG hun hor Litwin The Hong Kong stitute of Edution Report on using
More information#A42 INTEGERS 11 (2011) ON THE CONDITIONED BINOMIAL COEFFICIENTS
#A42 INTEGERS 11 (2011 ON THE CONDITIONED BINOMIAL COEFFICIENTS Liqun To Shool of Mthemtil Sienes, Luoyng Norml University, Luoyng, Chin lqto@lynuedun Reeived: 12/24/10, Revised: 5/11/11, Aepted: 5/16/11,
More informationChapter 6 Techniques of Integration
MA Techniques of Integrtion Asst.Prof.Dr.Suprnee Liswdi Chpter 6 Techniques of Integrtion Recll: Some importnt integrls tht we hve lernt so fr. Tle of Integrls n+ n d = + C n + e d = e + C ( n ) d = ln
More informationFundamental Theorem of Calculus
Fundmentl Theorem of Clculus Recll tht if f is nonnegtive nd continuous on [, ], then the re under its grph etween nd is the definite integrl A= f() d Now, for in the intervl [, ], let A() e the re under
More information22: Union Find. CS 473u - Algorithms - Spring April 14, We want to maintain a collection of sets, under the operations of:
22: Union Fin CS 473u - Algorithms - Spring 2005 April 14, 2005 1 Union-Fin We wnt to mintin olletion of sets, uner the opertions of: 1. MkeSet(x) - rete set tht ontins the single element x. 2. Fin(x)
More informationThe Riemann and the Generalised Riemann Integral
The Riemnn nd the Generlised Riemnn Integrl Clvin 17 July 14 Contents 1 The Riemnn Integrl 1.1 Riemnn Integrl............................................ 1. Properties o Riemnn Integrble Funtions.............................
More informationwhere the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b
CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}
More informationRIEMANN INTEGRATION. Throughout our discussion of Riemann integration. B = B [a; b] = B ([a; b] ; R)
RIEMANN INTEGRATION Throughout our disussion of Riemnn integrtion B = B [; b] = B ([; b] ; R) is the set of ll bounded rel-vlued funtons on lose, bounded, nondegenerte intervl [; b] : 1. DEF. A nite set
More information7.2 The Definite Integral
7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where
More informationFactorising FACTORISING.
Ftorising FACTORISING www.mthletis.om.u Ftorising FACTORISING Ftorising is the opposite of expning. It is the proess of putting expressions into rkets rther thn expning them out. In this setion you will
More informationCS 491G Combinatorial Optimization Lecture Notes
CS 491G Comintoril Optimiztion Leture Notes Dvi Owen July 30, August 1 1 Mthings Figure 1: two possile mthings in simple grph. Definition 1 Given grph G = V, E, mthing is olletion of eges M suh tht e i,
More informationTOPICS IN INEQUALITIES. Hojoo Lee
TOPICS IN INEQUALITIES Hojoo Lee Version 0.5 [005/08/5] Introdution Inequlities re useful in ll fields of Mthemtis. The purpose in this ook is to present stndrd tehniques in the theory of inequlities.
More informationTutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.
Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix
More informationProject 6: Minigoals Towards Simplifying and Rewriting Expressions
MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy
More informationUniversity of Sioux Falls. MAT204/205 Calculus I/II
University of Sioux Flls MAT204/205 Clulus I/II Conepts ddressed: Clulus Textook: Thoms Clulus, 11 th ed., Weir, Hss, Giordno 1. Use stndrd differentition nd integrtion tehniques. Differentition tehniques
More informationTechnische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution
Tehnishe Universität Münhen Winter term 29/ I7 Prof. J. Esprz / J. Křetínský / M. Luttenerger. Ferur 2 Solution Automt nd Forml Lnguges Homework 2 Due 5..29. Exerise 2. Let A e the following finite utomton:
More informationExercise 3 Logic Control
Exerise 3 Logi Control OBJECTIVE The ojetive of this exerise is giving n introdution to pplition of Logi Control System (LCS). Tody, LCS is implemented through Progrmmle Logi Controller (PLC) whih is lled
More informationHERMITE-HADAMARD TYPE INEQUALITIES FOR FUNCTIONS WHOSE DERIVATIVES ARE (α, m)-convex
HERMITE-HADAMARD TYPE INEQUALITIES FOR FUNCTIONS WHOSE DERIVATIVES ARE (α -CONVEX İMDAT İŞCAN Dertent of Mthetics Fculty of Science nd Arts Giresun University 8 Giresun Turkey idtiscn@giresunedutr Abstrct:
More informationOn the properties of the two-sided Laplace transform and the Riemann hypothesis
On the properties of the two-sie Lple trnsform n the Riemnn hypothesis Seong Won Ch, Ph.D. swh@gu.eu Astrt We will show interesting properties of two-sie Lple trnsform, minly of positive even funtions.
More informationUSA Mathematical Talent Search Round 1 Solutions Year 25 Academic Year
1/1/5. Alex is trying to oen lock whose code is sequence tht is three letters long, with ech of the letters being one of A, B or C, ossibly reeted. The lock hs three buttons, lbeled A, B nd C. When the
More informationBridging the gap: GCSE AS Level
Bridging the gp: GCSE AS Level CONTENTS Chpter Removing rckets pge Chpter Liner equtions Chpter Simultneous equtions 8 Chpter Fctors 0 Chpter Chnge the suject of the formul Chpter 6 Solving qudrtic equtions
More informationOn the Co-Ordinated Convex Functions
Appl. Mth. In. Si. 8, No. 3, 085-0 0 085 Applied Mthemtis & Inormtion Sienes An Interntionl Journl http://.doi.org/0.785/mis/08038 On the Co-Ordinted Convex Funtions M. Emin Özdemir, Çetin Yıldız, nd Ahmet
More informationApril 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.
pril 8, 2017 Mth 9 Geometry Solving vetor prolems Prolem Prove tht if vetors nd stisfy, then Solution 1 onsider the vetor ddition prllelogrm shown in the Figure Sine its digonls hve equl length,, the prllelogrm
More informationLecture 3. Limits of Functions and Continuity
Lecture 3 Limits of Functions nd Continuity Audrey Terrs April 26, 21 1 Limits of Functions Notes I m skipping the lst section of Chpter 6 of Lng; the section bout open nd closed sets We cn probbly live
More informationSome integral inequalities on time scales
Al Mth Mech -Engl Ed 2008 29(1:23 29 DOI 101007/s10483-008-0104- c Editoril Committee of Al Mth Mech nd Sringer-Verlg 2008 Alied Mthemtics nd Mechnics (English Edition Some integrl ineulities on time scles
More information5. Every rational number have either terminating or repeating (recurring) decimal representation.
CHAPTER NUMBER SYSTEMS Points to Rememer :. Numer used for ounting,,,,... re known s Nturl numers.. All nturl numers together with zero i.e. 0,,,,,... re known s whole numers.. All nturl numers, zero nd
More informationCo-ordinated s-convex Function in the First Sense with Some Hadamard-Type Inequalities
Int. J. Contemp. Mth. Sienes, Vol. 3, 008, no. 3, 557-567 Co-ordinted s-convex Funtion in the First Sense with Some Hdmrd-Type Inequlities Mohmmd Alomri nd Mslin Drus Shool o Mthemtil Sienes Fulty o Siene
More informationComputing data with spreadsheets. Enter the following into the corresponding cells: A1: n B1: triangle C1: sqrt
Computing dt with spredsheets Exmple: Computing tringulr numers nd their squre roots. Rell, we showed 1 ` 2 ` `n npn ` 1q{2. Enter the following into the orresponding ells: A1: n B1: tringle C1: sqrt A2:
More information(a) A partition P of [a, b] is a finite subset of [a, b] containing a and b. If Q is another partition and P Q, then Q is a refinement of P.
Chpter 7: The Riemnn Integrl When the derivtive is introdued, it is not hrd to see tht the it of the differene quotient should be equl to the slope of the tngent line, or when the horizontl xis is time
More informationTheoretical foundations of Gaussian quadrature
Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of
More informationLESSON 11: TRIANGLE FORMULAE
. THE SEMIPERIMETER OF TRINGLE LESSON : TRINGLE FORMULE In wht follows, will hve sides, nd, nd these will e opposite ngles, nd respetively. y the tringle inequlity, nd..() So ll of, & re positive rel numers.
More informationThe University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER MACHINES AND THEIR LANGUAGES ANSWERS
The University of ottinghm SCHOOL OF COMPUTR SCIC A LVL 2 MODUL, SPRIG SMSTR 2015 2016 MACHIS AD THIR LAGUAGS ASWRS Time llowed TWO hours Cndidtes my omplete the front over of their nswer ook nd sign their
More informationNow we must transform the original model so we can use the new parameters. = S max. Recruits
MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with
More informationMTH 505: Number Theory Spring 2017
MTH 505: Numer Theory Spring 207 Homework 2 Drew Armstrong The Froenius Coin Prolem. Consider the eqution x ` y c where,, c, x, y re nturl numers. We cn think of $ nd $ s two denomintions of coins nd $c
More informationON AN INEQUALITY FOR THE MEDIANS OF A TRIANGLE
Journl of Siene nd Arts Yer, No. (9), pp. 7-6, OIGINAL PAPE ON AN INEQUALITY FO THE MEDIANS OF A TIANGLE JIAN LIU Mnusript reeived:.5.; Aepted pper:.5.; Pulished online: 5.6.. Astrt. In this pper, we give
More informationThe First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).
The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples
More informationThe Double Integral. The Riemann sum of a function f (x; y) over this partition of [a; b] [c; d] is. f (r j ; t k ) x j y k
The Double Integrl De nition of the Integrl Iterted integrls re used primrily s tool for omputing double integrls, where double integrl is n integrl of f (; y) over region : In this setion, we de ne double
More informationType 2: Improper Integrals with Infinite Discontinuities
mth imroer integrls: tye 6 Tye : Imroer Integrls with Infinite Disontinuities A seond wy tht funtion n fil to be integrble in the ordinry sense is tht it my hve n infinite disontinuity (vertil symtote)
More informationTHE PYTHAGOREAN THEOREM
THE PYTHAGOREAN THEOREM The Pythgoren Theorem is one of the most well-known nd widely used theorems in mthemtis. We will first look t n informl investigtion of the Pythgoren Theorem, nd then pply this
More informationTHE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.
THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem
More informationImproper Integrals. The First Fundamental Theorem of Calculus, as we ve discussed in class, goes as follows:
Improper Integrls The First Fundmentl Theorem of Clculus, s we ve discussed in clss, goes s follows: If f is continuous on the intervl [, ] nd F is function for which F t = ft, then ftdt = F F. An integrl
More information1B40 Practical Skills
B40 Prcticl Skills Comining uncertinties from severl quntities error propgtion We usully encounter situtions where the result of n experiment is given in terms of two (or more) quntities. We then need
More informationIndividual Group. Individual Events I1 If 4 a = 25 b 1 1. = 10, find the value of.
Answers: (000-0 HKMO Het Events) Creted y: Mr. Frnis Hung Lst udted: July 0 00-0 33 3 7 7 5 Individul 6 7 7 3.5 75 9 9 0 36 00-0 Grou 60 36 3 0 5 6 7 7 0 9 3 0 Individul Events I If = 5 = 0, find the vlue
More information7.8 Improper Integrals
7.8 7.8 Improper Integrls The Completeness Axiom of the Rel Numers Roughly speking, the rel numers re clled complete ecuse they hve no holes. The completeness of the rel numers hs numer of importnt consequences.
More informationProperties of the Riemann Integral
Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University Februry 15, 2018 Outline 1 Some Infimum nd Supremum Properties 2
More informationLecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations.
Lecture 3 3 Solving liner equtions In this lecture we will discuss lgorithms for solving systems of liner equtions Multiplictive identity Let us restrict ourselves to considering squre mtrices since one
More information