Pier Franz Roggero, Michele Nardelli, Francesco Di Noto

Size: px
Start display at page:

Download "Pier Franz Roggero, Michele Nardelli, Francesco Di Noto"

Transcription

1 Vrsio.0 9/06/04 Pagia di 7 O SOME EQUATIOS COCEIG THE IEMA S PIME UMBE FOMULA AD O A SECUE AD EFFICIET PIMALITY TEST. MATHEMATICAL COECTIOS WITH SOME SECTOS OF STIG THEOY Pir Fra oggro, Michl ardlli, Fracsco Di oto Abstract: I this papr w ocus atttio o som quatios cocrig th ima s prim umbr ormula ad o th bhavior o a scur primality tst. Furthrmor, w hav dscribd also som mathmatical coctios with som sctors o strig thory.

2 Vrsio.0 9/06/04 Pagia di 7 Idic:. PIMALITY TEST...3. ALGOITHM TO KOW IF A UMBE p IS PIME POOF O SOME EQUATIOS COCEIG THE IEMA S PIME UMBE FOMULA..7. EFEECES... 6

3 Vrsio.0 9/06/04 Pagia 3 di 7. PIMALITY TEST A umbr is prim i: p 6k ± with k,,... itgr or all prims cpt th umbrs, 3 Which is quivalt to say: p (mod 6) or p (mod 6) or all prims cpt th prims ad 3 I p is prim is valid o o th two cogruc rlatios. Howvr, th vic vrsa is ot tru, g, p, 9 is valid th irst rlatio but thy ar ot prim umbrs -> this is a cssary but ot suicit coditio so that p a prim umbr. Th cogruc rlatios ar quivalt to limiat all multipls o 3 ad cosidrig that th prim umbrs ar odd ar thus limiatd all odd multipls o 3. callig th rul so that a umbr is divisibl by 3, w hav: a umbr is divisibl by 3 i th sum o its digits (i o o its digits is 9, it ca b cosidrd qual to 0 i th sum) is a multipl o thr. I cas th rsult would b gratr tha 9, add up th two or mor digits o th rsult ad dtrmis whthr thy ar multipl (or dividd) by thr. Eampl: Th sum o th digits o th umbr 3 is

4 Vrsio.0 9/06/04 Pagia 4 di 7 6, so 3 is divisibl by thr. I th cas o 79, howvr, th sum is to b. Giv that 3, 79 is also divisibl by thr. Aothr cssary but ot suicit coditio so that p is prim is that th last digit ds i, 3, 7 or 9 ( is th cludd bcaus divisibl by, but uortuatly ot th 9 7 * 3). W, thror, hav that th prim umbrs th sum o thir digits umbrs ar:,, 4,, 7 ad 8 ad vr: 0, 3 ad 6 would othrwis b divisibl by 3 Atr ths iitial cosidratios w s how simpl it is possibl to crat a scur ad icit primality tst always valid ad th ida as it has dvlopd. So w choos a as th smallst compl umbr with ral ad imagiary itgr part: aj th p is prim i th ollowig rlatio o cogruc is valid:

5 Vrsio.0 9/06/04 Pagia di 7 a p- p- (mod p) or a p- must rsult i a itgr umbr or a compl umbr with oly th imagiary part, othrwis p is ot alrady a prim umbr ad is o logr cssary to apply th cogruc rlatio. Th modulo must b tak to always hav a positiv itgr valu. By choosig a w hav that p- is always a itgr or pur imagiary itgr. This is quivalt to say that: (p-)/ p- (mod p) I th rsult is qual to th othig ca b said i p is prim or ot. So should w cotiu th ivstigatio as choosig a 3, th t prim umbr. 3 (p-)/ p- (mod p) ad v i i this cas th rsult is qual to w must slct th t prim umbr a, ad so o. From th tab. w s th irst ampls:

6 Vrsio.0 9/06/04 Pagia 6 di 7 TAB. prim p (j)^(p-) mod(^(( Absolut Valu p-)/), p) mod(3^(( p-)/), p) 3 0, -4, , , , , 8 3 0, , , , , , , , , , mod(^(( p-)/), p) , , , mod(7^(( p-)/), p)

7 Vrsio.0 9/06/04 Pagia 7 di , , IS OT PIM E 6 IS OT PIM E 90 IS OT PIM E 047 IS OT PIM E 8 IS OT PIM E , thc 8 IS OT PIME 67, thc 34 IS OT PIME 44, thc 6 IS OT PIME 86, thc 90 IS OT PIME 6, thc 047 IS OT PIME

8 Vrsio.0 9/06/04 Pagia 8 di 7 W ot that i ordr to prov that th umbr p 7 is a prim umbr, w must go up to 7 (p-)/ p- (mod p). W hav: (mod 7). Istad th umbr 34 which is a psudoprim umbr that ivalidats th Frmat's littl thorm is maskd with this mthod. I act, w hav: 3 (p-)/ p- (mod p) (mod 34) ot so givig as a rsult ithr or 340, but th valu 67 w ca crtaily say that 34 is ot a prim umbr, ad as w all kow 34 * 3.

9 Vrsio.0 9/06/04 Pagia 9 di 7. ALGOITHM TO KOW IF A UMBE p IS PIME Basd o th abov cosidratios hr is th algorithm or dtrmiig i a umbr p is or is ot a prim umbr. ) W actori th umbr (p-) ) w choos as th basis a th smallst prim umbr that is ot a prim actor o th umbr (p-). So w ca vr choos as basis a. 3) w apply th ormula o cogruc: a^((p-)/) (mod p) r i th rsult is: rp- th p is a prim umbr <r<p- th p is ot a prim umbr r th w caot yt say whthr p is or is ot a prim umbr, but w must choos as th basis a th t coscutiv prim umbr that is ot obviously a prim actor o th umbr (p-). pat th stp 3.

10 Vrsio.0 9/06/04 Pagia 0 di 7 Eampl : 40? (40-)400^4*^ w caot choos as th basis a th umbrs ad. So th irst prim umbr that w ca choos as bas a is th umbr a 3 3^00 (mod 40) 400 th th umbr 40 is a prim umbr. Eampl : 6? (6-)60^4**7 w caot choos as th basis a th umbrs, ad 7. So th irst prim umbr that w ca choos as bas a is th umbr a 3 3^80 (mod 6) 44 th th umbr 6 is ot a prim umbr but is a composit umbr, 63**7. Eampl 3 : 839? (839-)838*49

11 Vrsio.0 9/06/04 Pagia di 7 w caot choos as th basis a th umbr a, 49. So th irst prim umbr that w ca choos as bas a is th umbr a 3 3^49 (mod 839) th w cotiu with th t coscutiv prim umbr util w gt ot mor as a rsult r. ^49 (mod 839) 7^49 (mod 839) ^49 (mod 839) 838 th th umbr 839 is a prim umbr.

12 Vrsio.0 9/06/04 Pagia di 7 3. POOF (a^((p-)/)-)*(a^((p-)/)) a^(p-)- sic: a^((p-)/) (mod p) p- (a^((p-)/)-)*(a^((p-)/)) (mod p) ((p-)*p (mod p) (p^-p) (mod p) 0 ad th ollows th Frmat's littl thorm: a^(p-) (mod p) From th ivariac with rspct to potiatio w ca also say: (a^((p-)/))^ (mod p) (p-)^ ad th rgais: a^(p-) (mod p)

13 Vrsio.0 9/06/04 Pagia 3 di 7 Wh p is a prim umbr th ormula o cogruc a^((p-)/) (mod p) r givs rsult always r or rp- or ay bas a chos with a ay prim umbr, v i w choos as th basis a th irst prim actor o (p-), which should ot b valid, howvr, to dtrmi i p is or is ot a prim umbr. I w choos as basis to a th th algorithm works up to th valu o p 377 ad that i ct is a psudo-prim. ^((377-)/) (mod 377) 376 ad th w would b ld to bliv that p 377 is a prim umbr. So or this raso w should ot choos as th basis a th prim actors o (377-) 376 ^*3^*7*3 ad th, 3, 7 ad 3 should ot b slctd. Obviously w do ot cosidr multipl actors, such as 9, bcaus thy ar vr prims, but w must choos oly ad oly th idividual actors. I r othig ca b said i p is or is ot a prim umbr. Wh p is ot a prim umbr w must choos as th basis a th irst umbr that is ot a prim actor o (p-). This is bcaus i w choos a prim actor o (p-) th th algorithm rvals psudoprims as i th prvious ampl. Cosqutly wh th ormula o cogruc a^((p-)/) (mod p) r givs as rsult rp- with th cosidratio that w must ot chos or th basis a th prim actors o (p-), othrwis w may hav also as rsult r p-, which is ot good. So w must choos or th umbr p 377 as a bas a, that is th irst prim umbr as a valid basis. W hav sic Eulr's thorm:

14 Vrsio.0 9/06/04 Pagia 4 di 7 a^((p-)*c) (mod p) (a^(p-))^c (mod p) with <a<p ad c ad p prim sic 3779*3 (^8)^8*^4 (mod 9) ^4 (mod 9) (^)^4*^70 (mod 3) ^70 (mod 3) 44 Th ^638 (mod 377) o logr givs as rsult r 376 ad th psudo-prim 377 is immdiatly maskd.

15 Vrsio.0 9/06/04 Pagia di 7 Wh it happs that or all th basis a to mak choics that ar co-prim with rspct (p-) w wr to gt th ormula o cogruc is always: a^((p-)/) (mod p) ad w hav as a rsult or all th basis chos, w ar i th prsc o a vry strog psudo-prim umbr, which blogs to th amily o compouds o Carmichal umbrs. Cosqutly i ths spciic cass th umbrs p ar vr prims. A ampl is th umbr 79: 79 7*3* ^6*3^3 W hav a^864 (mod 79) or a, 7,, 3, 7, 9,,... (but also or ad 3, which ar howvr ot ligibl bass) ad psudo-prim 79 is immdiatly maskd. Oly with this tst w ca say that 79 is ot th a prim umbr, i act w vr hav r78. Obviously it was ot possibl to say aythig with Frmat's littl thorm.

16 Vrsio.0 9/06/04 Pagia 6 di 7 OBSEVATIO: Oly i th ormula o cogruc: a^((p-)/) (mod p) r w hav r p- it is i th prsc o a prim umbr, ad i its cycl, or all th bass to b valid, thr is always rp- or r. This is a coditio "cssary ad suicit". Th algorithm works with th bas always qual or ampl a, but so w will obtai a probabilistic tst, as show by th tab.. I this algorithm howvr w ca vr choos as basis a. W ca choos so that th tst would work i or a i th vast majority o cass, cludig th umbrs with (p-) which hav as a actor. Obviously i w icras th bas a th tst bcoms mor scur rom th probabilistic poit o viw, but oly by choosig th appropriat basis w ca b sur to 00 % i p is or is ot a prim umbr. So w ca also mask th Carmichal umbrs ad th whol uivrs o psudo-prims (s th abov ampls that tst th algorithm) Th tst AKS Agrawal - Kayal - Saa is vry ic ad icit but crtaily vry mor complicatd tha this ad computatioally much slowr (a turtl tha a chtah...)

17 Vrsio.0 9/06/04 Pagia 7 di 7 A ampl a bit mor complicatd which shows th spd o th algorithm: p *3*33 p(p-) *3**3*3 w ca vr choos a, 3,, 3 ad 3. So th irst valid basis a7 W hav sic Eulr's thorm: (7^0)^3848 * 7^ mod 0 (7^30)^834 * 7^6 mod 3 (7^330)^7 * 7^ mod 33 7 Th 7^3848 (mod 47697) o logr givs as rsult r ad th umbr is immdiatly maskd as composit ad ot prim. 4. O SOME EQUATIOS COCEIG THE IEMA S PIME UMBE FOMULA Prim umbr Thorm W hav th ollowig ormula: ( ) lim π / log. (.)

18 Vrsio.0 9/06/04 Pagia 8 di 7 To prov this w hav to itroduc a w objct, th Mobius uctio µ ( ). This is did as µ ( ) ( ) k i is th product o k distict prims, ad µ ( ) 0 othrwis. Thus µ oscillats btw -, 0, ad. Its rlatioship to th ima ta uctio ca b s rom th ormula µ ( ) p.. prim or ( ) >. I othr words, w hav that p (.) µ ( ) ζ ( ) (.3) or ( ) >. Lmma W hav > γ ( ) d π (.4) Th lt-had sid is lss tha or qual to π sup γ > ( ). (.) Writ. Obsrv that i γ, th iy, ad hc ( ). (.6)

19 Vrsio.0 9/06/04 Pagia 9 di 7 Also w hav, whil (sic ( ) µ or all ) ( ) > > a da. (.7) Lmma W hav ( ) ( ) i d π π µ π γ. (.8) W itroduc th cotour γ which is th othr hal o th circl travrsd by γ aticlockwis, i.. ( ) it t : γ, / 3 / π π t. Obsrv that ( ) is aalytic vrywhr, ad so by th Cauchy itgral ormula: ( ) ( ) ( ) i i d γ γ µ π π. (.9) So, w hav that ( ) d π π γ. (.0) Oc agai, w stimat th lt-had sid by ( ) sup γ π. (.) As bor w hav ad, whil ( ). (.)

20 Vrsio.0 9/06/04 Pagia 0 di 7 I 0, th th itgral tst givs da a, (.3) whil i < 0 th th itgral tst givs Puttig this all togthr w obtai da a. (.4) sup ( ) γ. (.) Combiig Lmma ad Lmma, w s that γ ( ) d πi ( ) µ 4π π. (.6) With rgard th uctioal quatio or ay (ot a itgr), w hav ζ ( ) π cos Γ ζ ( π ) ( ) ( ). (.7) Th uiquss o aalytic cotiuatio it suics to prov this wh ( ) < 0 (say). I which cas th lt-had sid is just. call that Γ ( ) ζ ( ) πi( ) ( ) γ ε, r ( ) w Log w 0 dw (.8) γ ε, r whr is a clockwis cotour goig aroud th positiv ral ais. Writig πi, it thus suics to show that i( ) π as

21 Vrsio.0 9/06/04 Pagia di 7 ( ) Log0w ( ) Log0w πi ( π ) ( ) dw γ w ε, r π cos. (.9) w Th uctio is ot aalytic o th positiv ral ais, but is mromorphic vrywhr ls, with simpl pols at itgr multipls o πi, ad a rsidu o ( ) Log ( ) / ( ) 0 πi πi π wh w πi or som positiv, ad a rsidu o ( ) Log 0 πi 3πi( ) / ( π ) wh w πi. For ay > 0 γ, lt b th cotour cosistig o th horiotal ray rom ( ) πi to ( ) π ( ) πi, th vrtical li sgmt rom ( ) π ( ) πi to ( ) π ( ) πi, ad th horiotal ray rom ( ) π ( ) πi to ( ) πi γ γ. Th rgio o spac btw r ad ε, cotais th pols πi or (cludig 0), ad so by th rsidu thorm ( ) Log w ( ) 0 0 πi( ) / 3πi ( ) dw dw πi ( π) ( π) w w γ ε, r γ W ow claim that th γ li sgmt o γ Log w ( ) Log 0w i( ) Arg0 ( w) w O( ) w w is gativ ad so /. (.0) itgral gos to ro as gos to iiity. O th vrtical w w, th poit is that is vry small ad so is boudd, whil sic ( ) < 0. O ithr o th two horiotal rays, is agai boudd, ad agai w ca argu to show that ths itgrals dcay vry quickly i. Takig limits w thus hav: ( ) Log w 0 dw πi γ w ε, r πi( ) / 3πi( ) ( π) ( π) /. (.) Th atural logarithm (or pria logarithm) o a umbr is its logarithm to th bas, whr is a irratioal ad trascdtal costat approimatly qual to Th atural logarithm o is th powr to which would hav to b raisd to qual. For ampl, l(7.) is , bcaus Th atural

22 Vrsio.0 9/06/04 Pagia di 7 log o itsl, l(), is, bcaus, whil th atural logarithm o, l(), is 0, sic 0. Th atural logarithm uctio, i cosidrd as a ral-valud uctio o a ral variabl, is th ivrs uctio o th potial uctio, ladig to th idtitis: ( ) l ( ) l. i > 0 W ot that th valu o is vry ar to th rsult o th ollowig ormula: 8 8 ( ) 6,67 Φ 3/ 0, ,76074, , (a) Φ, (whr i.. th auro ratio) that is a rqucy o th auro musical systm calculatd rom C. Lag ad G. Bii (s r.). Thc, w ot that thr is a strog rlatioship, a mathmatical coctio btw ad Φ by th ormula (a) W rmmbr that it is wll-kow that th sris o Fiboacci s umbrs hibits a ractal charactr, whr th orms rpat thir similarity startig rom th rductio actor / φ 0,68033 (Pitg t al. 986). Such a actor appars also i th amous ractal amauja idtity (Hardy 97): 0,68033 / φ ( q) 3 p ( t) dt 4 / ( t / ) t q 0, (.) ad π Φ 3 0 ( q) 3 p ( t) dt 4 / ( t / ) t q 0, (.3)

23 Vrsio.0 9/06/04 Pagia 3 di 7 Φ whr. Furthrmor, w rmmbr that π ariss also rom th ollowig idtitis (amauja s papr: Modular quatios ad approimatios to π Quartrly Joural o Mathmatics, 4 (94), ): π ( )( 3 3) log 30, (.3a) ad π 4 log (.3b) From (.3) ad (.3b),w hav: 3 π Φ ( q) q 0 3 ( t) dt p / 4 / ( t ) t log (.4) With rgard th umbr 4 ( 4 / ad 3 4 8) thy ar rlatd to th mods that corrspod to th physical vibratios o th bosoic strigs by th ollowig amauja uctio:

24 Vrsio.0 9/06/04 Pagia 4 di 7 cosπtw' π w' d 0 4ati log coshπ πt w' 4 ( ) φw' itw' log t w'. Th quatio (.4) cocrig π cotais also Φ ad show th rlatioship btw ths two udamtal costat. From (A ) o th papr (), w hav that: / / ( ) ( ) ( ) ( ) u / u / u u u / t t u sih u dt du du u u t (.) or t < u ad From this quatio, w obtai also that:. du π ta u sih ( π) ( u) sih π 0 u ta sih ( π). (.6) Thc, rom (.4) w hav th ollowig rlatioship: 3 π Φ ( q) q 0 3 ( t) dt p 0 / 4 / ( t ) t ( ) log sih u 0 u ta π sih ( ). (.7)

25 Vrsio.0 9/06/04 Pagia di 7 Thc, w hav that th q. (.) ca b coctd with (.7). Idd, w hav: ( ) Log w 0 dw πi γ w ε, r πi( ) / 3πi( ) ( π) ( π) /, (.8) whr 3 π Φ ( q) q 0 3 ( t) dt p 0 / 4 / ( t ) t ( ) log sih u 0 u ta π sih ( ). Palumbo (00) ha proposd a simpl modl o th birth ad o th volutio o th Uivrs. Palumbo ad ardlli (00) hav compard this modl with th thory o th strigs, ad traslatd it i trms o th lattr obtaiig: ( G G ) ( φ) 6 µρ νσ µν d g g g Tr µν ρσ g µ φ νφ 6πG 8 Φ 0 ( ) Φ Φ ( ) / µ ~ κ0 d G 4 µ H 3 Tr F ν κ 0 0 g0, (.9) A gral rlatioship that liks bosoic ad rmioic strigs actig i all atural systms. Th itroductio o (.) ad (.3) i (.8) provids:

26 Vrsio.0 9/06/04 Pagia 6 di 7 ( ) ( ) ( ) Φ φ ρσ µν νσ µρ G G Tr g g t dt t t q G g d q 8 ) ( p 3 ) ( / / 6 ] µ φ ν φ µν g Φ q t dt t t q 0 4 / / 0 ) ( ) ( p 3 ) ( 0 3 κ ( ) [ ν µ µ κ Tr g t dt t t q H G d q / / 3 / 0 ) ( ) ( p 3 ) ( 0 3 ~ 4 Φ Φ Φ Φ ( ) ] F, (.30) which is th traslatio o (.9) i th trms o th Thory o th umbrs, spciically th possibl coctio btw th amauja idtity ad th rlatioship cocrig th Palumbo-ardlli modl.. EFEECES - Wikipdia () Pasqual Cutolo Ua ota sullo sviluppo dlla drivat di ordi ( itro positivo) dll uioi trigoomtrich P() Ta(), C() Sc(). Cosidraioi

27 Vrsio.0 9/06/04 Pagia 7 di 7 d ossrvaioi Fiuggi, Agosto 00

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

A Simple Proof that e is Irrational

A Simple Proof that e is Irrational Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

More information

Discrete Fourier Transform (DFT)

Discrete Fourier Transform (DFT) Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

Chapter Taylor Theorem Revisited

Chapter Taylor Theorem Revisited Captr 0.07 Taylor Torm Rvisitd Atr radig tis captr, you sould b abl to. udrstad t basics o Taylor s torm,. writ trascdtal ad trigoomtric uctios as Taylor s polyomial,. us Taylor s torm to id t valus o

More information

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges. Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt

More information

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n 07 - SEQUENCES AND SERIES Pag ( Aswrs at h d of all qustios ) ( ) If = a, y = b, z = c, whr a, b, c ar i A.P. ad = 0 = 0 = 0 l a l

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

Technical Support Document Bias of the Minimum Statistic

Technical Support Document Bias of the Minimum Statistic Tchical Support Documt Bias o th Miimum Stattic Itroductio Th papr pla how to driv th bias o th miimum stattic i a radom sampl o siz rom dtributios with a shit paramtr (also kow as thrshold paramtr. Ths

More information

APPENDIX: STATISTICAL TOOLS

APPENDIX: STATISTICAL TOOLS I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.

More information

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

NET/JRF, GATE, IIT JAM, JEST, TIFR

NET/JRF, GATE, IIT JAM, JEST, TIFR Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling Tripl Play: From D Morga to Stirlig To Eulr to Maclauri to Stirlig Augustus D Morga (186-1871) was a sigificat Victoria Mathmaticia who mad cotributios to Mathmatics History, Mathmatical Rcratios, Mathmatical

More information

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1 Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

More information

Restricted Factorial And A Remark On The Reduced Residue Classes

Restricted Factorial And A Remark On The Reduced Residue Classes Applid Mathmatics E-Nots, 162016, 244-250 c ISSN 1607-2510 Availabl fr at mirror sits of http://www.math.thu.du.tw/ am/ Rstrictd Factorial Ad A Rmark O Th Rducd Rsidu Classs Mhdi Hassai Rcivd 26 March

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim and n a positiv intgr, lt ν p (n dnot th xponnt of p in n, and u p (n n/p νp(n th unit part of n. If α

More information

UNIT 2: MATHEMATICAL ENVIRONMENT

UNIT 2: MATHEMATICAL ENVIRONMENT UNIT : MATHEMATICAL ENVIRONMENT. Itroductio This uit itroducs som basic mathmatical cocpts ad rlats thm to th otatio usd i th cours. Wh ou hav workd through this uit ou should: apprciat that a mathmatical

More information

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1 Chaptr 11 Th singular sris Rcall that by Thorms 10 and 104 togthr provid us th stimat 9 4 n 2 111 Rn = SnΓ 2 + on2, whr th singular sris Sn was dfind in Chaptr 10 as Sn = q=1 Sq q 9, with Sq = 1 a q gcda,q=1

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o

More information

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad

More information

ln x = n e = 20 (nearest integer)

ln x = n e = 20 (nearest integer) H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

More information

Class #24 Monday, April 16, φ φ φ

Class #24 Monday, April 16, φ φ φ lass #4 Moday, April 6, 08 haptr 3: Partial Diffrtial Equatios (PDE s First of all, this sctio is vry, vry difficult. But it s also supr cool. PDE s thr is mor tha o idpdt variabl. Exampl: φ φ φ φ = 0

More information

On the approximation of the constant of Napier

On the approximation of the constant of Napier Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of

More information

10. Joint Moments and Joint Characteristic Functions

10. Joint Moments and Joint Characteristic Functions 0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi

More information

Law of large numbers

Law of large numbers Law of larg umbrs Saya Mukhrj W rvisit th law of larg umbrs ad study i som dtail two typs of law of larg umbrs ( 0 = lim S ) p ε ε > 0, Wak law of larrg umbrs [ ] S = ω : lim = p, Strog law of larg umbrs

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim (implicit in notation and n a positiv intgr, lt ν(n dnot th xponnt of p in n, and U(n n/p ν(n, th unit

More information

Calculus & analytic geometry

Calculus & analytic geometry Calculus & aalytic gomtry B Sc MATHEMATICS Admissio owards IV SEMESTER CORE COURSE UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CALICUT UNIVERSITYPO, MALAPPURAM, KERALA, INDIA 67 65 5 School of Distac

More information

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality Foolig Nwto s Mthod a Fid a formla for th Nwto sqc, ad vrify that it covrgs to a ozro of f. ( si si + cos 4 4 3 4 8 8 bt f. b Fid a formla for f ( ad dtrmi its bhavior as. f ( cos si + as A Stirlig-li

More information

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1 DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT

More information

Discrete Fourier Transform. Nuno Vasconcelos UCSD

Discrete Fourier Transform. Nuno Vasconcelos UCSD Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

New Sixteenth-Order Derivative-Free Methods for Solving Nonlinear Equations

New Sixteenth-Order Derivative-Free Methods for Solving Nonlinear Equations Amrica Joural o Computatioal ad Applid Mathmatics 0 (: -8 DOI: 0.59/j.ajcam.000.08 Nw Sixtth-Ordr Drivativ-Fr Mthods or Solvig Noliar Equatios R. Thukral Padé Rsarch Ctr 9 Daswood Hill Lds Wst Yorkshir

More information

Solution to 1223 The Evil Warden.

Solution to 1223 The Evil Warden. Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud

More information

Hadamard Exponential Hankel Matrix, Its Eigenvalues and Some Norms

Hadamard Exponential Hankel Matrix, Its Eigenvalues and Some Norms Math Sci Ltt Vol No 8-87 (0) adamard Exotial al Matrix, Its Eigvalus ad Som Norms İ ad M bula Mathmatical Scics Lttrs Itratioal Joural @ 0 NSP Natural Scics Publishig Cor Dartmt of Mathmatics, aculty of

More information

How many neutrino species?

How many neutrino species? ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.

More information

Section 11.6: Directional Derivatives and the Gradient Vector

Section 11.6: Directional Derivatives and the Gradient Vector Sction.6: Dirctional Drivativs and th Gradint Vctor Practic HW rom Stwart Ttbook not to hand in p. 778 # -4 p. 799 # 4-5 7 9 9 35 37 odd Th Dirctional Drivativ Rcall that a b Slop o th tangnt lin to th

More information

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2 MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm

More information

Thomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple

Thomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple 5/24/5 A PROOF OF THE CONTINUED FRACTION EXPANSION OF / Thomas J Oslr INTRODUCTION This ar givs aothr roof for th rmarkabl siml cotiud fractio = 3 5 / Hr is ay ositiv umbr W us th otatio x= [ a; a, a2,

More information

H2 Mathematics Arithmetic & Geometric Series ( )

H2 Mathematics Arithmetic & Geometric Series ( ) H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

On a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G.

On a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G. O a problm of J. d Graaf coctd with algbras of uboudd oprators d Bruij, N.G. Publishd: 01/01/1984 Documt Vrsio Publishr s PDF, also kow as Vrsio of Rcord (icluds fial pag, issu ad volum umbrs) Plas chck

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Statistics 3858 : Likelihood Ratio for Exponential Distribution

Statistics 3858 : Likelihood Ratio for Exponential Distribution Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai

More information

A Review of Complex Arithmetic

A Review of Complex Arithmetic /0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd

More information

10. Limits involving infinity

10. Limits involving infinity . Limits involving infinity It is known from th it ruls for fundamntal arithmtic oprations (+,-,, ) that if two functions hav finit its at a (finit or infinit) point, that is, thy ar convrgnt, th it of

More information

Introduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10.

Introduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10. Itroductio to Quatum Iformatio Procssig Lctur Michl Mosca Ovrviw! Classical Radomizd vs. Quatum Computig! Dutsch-Jozsa ad Brsti- Vazirai algorithms! Th quatum Fourir trasform ad phas stimatio A classical

More information

A GENERALIZED RAMANUJAN-NAGELL EQUATION RELATED TO CERTAIN STRONGLY REGULAR GRAPHS

A GENERALIZED RAMANUJAN-NAGELL EQUATION RELATED TO CERTAIN STRONGLY REGULAR GRAPHS #A35 INTEGERS 4 (204) A GENERALIZED RAMANUJAN-NAGELL EQUATION RELATED TO CERTAIN STRONGLY REGULAR GRAPHS B d Wgr Faculty of Mathmatics ad Computr Scic, Eidhov Uivrsity of Tchology, Eidhov, Th Nthrlads

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

2617 Mark Scheme June 2005 Mark Scheme 2617 June 2005

2617 Mark Scheme June 2005 Mark Scheme 2617 June 2005 Mark Schm 67 Ju 5 GENERAL INSTRUCTIONS Marks i th mark schm ar plicitly dsigatd as M, A, B, E or G. M marks ("mthod" ar for a attmpt to us a corrct mthod (ot mrly for statig th mthod. A marks ("accuracy"

More information

International Journal of Advanced and Applied Sciences

International Journal of Advanced and Applied Sciences Itratioal Joural of Advacd ad Applid Scics x(x) xxxx Pags: xx xx Cotts lists availabl at Scic Gat Itratioal Joural of Advacd ad Applid Scics Joural hompag: http://wwwscic gatcom/ijaashtml Symmtric Fuctios

More information

Some remarks on Kurepa s left factorial

Some remarks on Kurepa s left factorial Som rmarks on Kurpa s lft factorial arxiv:math/0410477v1 [math.nt] 21 Oct 2004 Brnd C. Kllnr Abstract W stablish a connction btwn th subfactorial function S(n) and th lft factorial function of Kurpa K(n).

More information

STIRLING'S 1 FORMULA AND ITS APPLICATION

STIRLING'S 1 FORMULA AND ITS APPLICATION MAT-KOL (Baja Luka) XXIV ()(08) 57-64 http://wwwimviblorg/dmbl/dmblhtm DOI: 075/МК80057A ISSN 0354-6969 (o) ISSN 986-588 (o) STIRLING'S FORMULA AND ITS APPLICATION Šfkt Arslaagić Sarajvo B&H Abstract:

More information

+ x. x 2x. 12. dx. 24. dx + 1)

+ x. x 2x. 12. dx. 24. dx + 1) INTEGRATION of FUNCTION of ONE VARIABLE INDEFINITE INTEGRAL Fidig th idfiit itgrals Rductio to basic itgrals, usig th rul f ( ) f ( ) d =... ( ). ( )d. d. d ( ). d. d. d 7. d 8. d 9. d. d. d. d 9. d 9.

More information

Partial Derivatives: Suppose that z = f(x, y) is a function of two variables.

Partial Derivatives: Suppose that z = f(x, y) is a function of two variables. Chaptr Functions o Two Variabls Applid Calculus 61 Sction : Calculus o Functions o Two Variabls Now that ou hav som amiliarit with unctions o two variabls it s tim to start appling calculus to hlp us solv

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities.

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities. Baysia Ntworks Motivatio Th coditioal idpdc assuptio ad by aïv Bays classifirs ay s too rigid spcially for classificatio probls i which th attributs ar sowhat corrlatd. W talk today for a or flibl approach

More information

Further Results on Pair Sum Graphs

Further Results on Pair Sum Graphs Applid Mathmatis, 0,, 67-75 http://dx.doi.org/0.46/am.0.04 Publishd Oli Marh 0 (http://www.sirp.org/joural/am) Furthr Rsults o Pair Sum Graphs Raja Poraj, Jyaraj Vijaya Xavir Parthipa, Rukhmoi Kala Dpartmt

More information

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld

More information

Probability & Statistics,

Probability & Statistics, Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II COLLECTION OF SUPPLEMENTARY PROBLEMS I. CHAPTER 6 --- Trscdtl Fuctios CALCULUS II A. FROM CALCULUS BY J. STEWART:. ( How is th umbr dfid? ( Wht is pproimt vlu for? (c ) Sktch th grph of th turl potil fuctios.

More information

Chapter 10. The singular integral Introducing S(n) and J(n)

Chapter 10. The singular integral Introducing S(n) and J(n) Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don

More information

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for

More information

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh

More information

Blackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?

Blackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted? All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody

More information

Normal Form for Systems with Linear Part N 3(n)

Normal Form for Systems with Linear Part N 3(n) Applid Mathmatics 64-647 http://dxdoiorg/46/am7 Publishd Oli ovmbr (http://wwwscirporg/joural/am) ormal Form or Systms with Liar Part () Grac Gachigua * David Maloza Johaa Sigy Dpartmt o Mathmatics Collg

More information

Lectures 9 IIR Systems: First Order System

Lectures 9 IIR Systems: First Order System EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work

More information

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES Digst Joural of Naomatrials ad Biostructurs Vol 4, No, March 009, p 67-76 NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES A IRANMANESH a*, O KHORMALI b, I NAJAFI KHALILSARAEE c, B SOLEIMANI

More information

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b)

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b) 4. y = y = + 5. Find th quation of th tangnt lin for th function y = ( + ) 3 whn = 0. solution: First not that whn = 0, y = (1 + 1) 3 = 8, so th lin gos through (0, 8) and thrfor its y-intrcpt is 8. y

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China An Application of Hardy-Littlwood Conjctur JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that wakr Hardy-Littlwood

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor .8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd

More information

Narayana IIT Academy

Narayana IIT Academy INDIA Sc: LT-IIT-SPARK Dat: 9--8 6_P Max.Mars: 86 KEY SHEET PHYSIS A 5 D 6 7 A,B 8 B,D 9 A,B A,,D A,B, A,B B, A,B 5 A 6 D 7 8 A HEMISTRY 9 A B D B B 5 A,B,,D 6 A,,D 7 B,,D 8 A,B,,D 9 A,B, A,B, A,B,,D A,B,

More information

UNTYPED LAMBDA CALCULUS (II)

UNTYPED LAMBDA CALCULUS (II) 1 UNTYPED LAMBDA CALCULUS (II) RECALL: CALL-BY-VALUE O.S. Basic rul Sarch ruls: (\x.) v [v/x] 1 1 1 1 v v CALL-BY-VALUE EVALUATION EXAMPLE (\x. x x) (\y. y) x x [\y. y / x] = (\y. y) (\y. y) y [\y. y /

More information

Lie Groups HW7. Wang Shuai. November 2015

Lie Groups HW7. Wang Shuai. November 2015 Li roups HW7 Wang Shuai Novmbr 015 1 Lt (π, V b a complx rprsntation of a compact group, show that V has an invariant non-dgnratd Hrmitian form. For any givn Hrmitian form on V, (for xampl (u, v = i u

More information

ph People Grade Level: basic Duration: minutes Setting: classroom or field site

ph People Grade Level: basic Duration: minutes Setting: classroom or field site ph Popl Adaptd from: Whr Ar th Frogs? in Projct WET: Curriculum & Activity Guid. Bozman: Th Watrcours and th Council for Environmntal Education, 1995. ph Grad Lvl: basic Duration: 10 15 minuts Stting:

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

Calculus concepts derivatives

Calculus concepts derivatives All rasonabl fforts hav bn mad to mak sur th nots ar accurat. Th author cannot b hld rsponsibl for any damags arising from th us of ths nots in any fashion. Calculus concpts drivativs Concpts involving

More information

Exercise 1. Sketch the graph of the following function. (x 2

Exercise 1. Sketch the graph of the following function. (x 2 Writtn tst: Fbruary 9th, 06 Exrcis. Sktch th graph of th following function fx = x + x, spcifying: domain, possibl asymptots, monotonicity, continuity, local and global maxima or minima, and non-drivability

More information

SOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3

SOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3 SOLVED EXAMPLES E. If f() E.,,, th f() f() h h LHL RHL, so / / Lim f() quls - (D) Dos ot ist [( h)+] [(+h) + ] f(). LHL E. RHL h h h / h / h / h / h / h / h As.[C] (D) Dos ot ist LHL RHL, so giv it dos

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

Frequency Measurement in Noise

Frequency Measurement in Noise Frqucy Masurmt i ois Porat Sctio 6.5 /4 Frqucy Mas. i ois Problm Wat to o look at th ct o ois o usig th DFT to masur th rqucy o a siusoid. Cosidr sigl complx siusoid cas: j y +, ssum Complx Whit ois Gaussia,

More information

ASSERTION AND REASON

ASSERTION AND REASON ASSERTION AND REASON Som qustios (Assrtio Rso typ) r giv low. Ech qustio cotis Sttmt (Assrtio) d Sttmt (Rso). Ech qustio hs choics (A), (B), (C) d (D) out of which ONLY ONE is corrct. So slct th corrct

More information

MATH 681 Notes Combinatorics and Graph Theory I. ( 4) n. This will actually turn out to be marvelously simplifiable: C n = 2 ( 4) n n + 1. ) (n + 1)!

MATH 681 Notes Combinatorics and Graph Theory I. ( 4) n. This will actually turn out to be marvelously simplifiable: C n = 2 ( 4) n n + 1. ) (n + 1)! MATH 681 Nots Combiatorics ad Graph Thory I 1 Catala umbrs Prviously, w usd gratig fuctios to discovr th closd form C = ( 1/ +1) ( 4). This will actually tur out to b marvlously simplifiabl: ( ) 1/ C =

More information

Ordinary Differential Equations

Ordinary Differential Equations Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.

More information

Differentiation of Exponential Functions

Differentiation of Exponential Functions Calculus Modul C Diffrntiation of Eponntial Functions Copyright This publication Th Northrn Albrta Institut of Tchnology 007. All Rights Rsrvd. LAST REVISED March, 009 Introduction to Diffrntiation of

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

Chapter 3 Fourier Series Representation of Periodic Signals

Chapter 3 Fourier Series Representation of Periodic Signals Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:

More information