THE THEORY OF DISTRIBUTIONS APPLIED TO DIVERGENT INTEGRALS OF THE FORM
|
|
- Britton Baker
- 6 years ago
- Views:
Transcription
1 THE THEOY OF DISTIBUTIONS APPLIED TO DIVEGENT INTEGALS OF THE FOM ( ) u ( b) Jose Jvier Gri Moret Grdute studet of Physis t the UPV/EHU (Uiversity of Bsque outry) I Solid Stte Physis Address: Address: Prtites Ad y Grijlb 5 G P.O Portuglete Vizy (Spi) Phoe: () E-mil: josegr@yhoo.es MSC: 6E5, 6E99, 35Q4 ABSTACT: I this pper we review some results o the regulriztio of diverget itegrls of ( ) the form d b i the otet of distributio theory Keywords: egulriztio, distributio theory, frtiol lulus egulriztio of diverget itegrls: I QFT (Qutum field theroy) there re mily two ids of diverget itegrl, the UV (ultrviolet) divergee, tht hppes wheever itegrl is diverget whe d the I (ifrred) oe tht ours if the itegrl is diverget s, few emples of these itegrls re 3 ( ) 3 ( ) or Z () The first two itegrls hve UV divergee, wheres the lst oes hve I divergee,the mes I d UV divergees ome from the ft tht if we use the h Wve-prtile Dulity i QM settig =p we fid tht UV divergee is p
2 equivlet to hve smll wvelegths (ulr violet) d the I divergee hppes for big wvelegths (ifrred) so the me is ot sul, for more detils [5] d [9] d To del with UV divergees o itegrl of the form d F( ) o d d we simply me hge of vrible to d- dimesiol polr oordites, to rewrite the itegrl d d d i ( ) ( ) (, ) i ( ) ( ) i r ( ) d F d drr F r d dr r d With the ostts () dzf( z, ) ( ) i, here mes tht we must itegrte z over the gulr vribles, i se F is ivrit uder rottios o the d-dimesiol d / ple the gulr prt of the itegrl be lulted etly s d ( d / ), the ide of epdig our futio ito Luret series, is to isolte the UV divergeies of the form drr so they be ured usig the zet regulriztio lgorithm. Choosig y >, sie the itegrl hs UV divergee, fter epdig the itegrd F( r, ) r d ito overget Luret series for r > there will be oly fiite umber of diverget itegrls of the form drr plus logrithmi diverget dr itegrl (this is other emple of UV divergee), ow to get fiite results r from the diverget itegrls we will pply the reurree dedued i our previous pper [4 ] whe disussig the zet regulriztio pplied to itegrls m m m B rm!( m r ) mr ( m) (3) ( r)!( m r )! r Equtio (3) is regulriztio i the sese tht if we hd the upper limit N- isted N N of the epressio (3) would give the well-ow result > or =, for the se, the series vlue i the spirit of Zet futio regulriztio [ 4] so is o loger overget d must be give fiite ( ), this is why the term ( m) ( m) ppers iside (3), ote tht (3) is reurree formul with iitil term () / d llows to lulte or ssig
3 fiite vlue to every diverget itegrl of the form drr for positive iteger, (the mi problem for the logrithmi divergee is the pole of the Zet fuito t s=) the first terms re I(, ) () / I(, ) I(, ) ( ) B I(, ) I(, ) ( ) I(, ) (4) 3 B 3 I(3, ) I(, ) ( ) I(, ) ( 3) B3I (, ) Nottio I ( m, ) physil meig. stds for lim, beig Lmbd ut-off with erti This emple is vlid for UV divergees but wht would hppe to the se of dr sigulr itegrls <b< or to the logrithmi divergee b? r o egulriztio of diverget itegrls usig Distributio theory: As first emple, let us suppose we wt to lulte the itegrl f ( ) D ( ), for = we ow tht i spite of the pole of the delt futio t = we hve tht f ( ) ( ) f ( ) for y test futio f(), the we use two method We perform itegrtio by prts voidig the sigulr poit t = so ( D) f ( ) ( ) f ( ) D ( ) ( D) f ( ) (5) We itegrte -times (o mtter if is o-iteger) with respet to (6) I( ) f ( ) D ( ) D I( ) f ( )( ) ( ) ( ) f ( ) 3
4 Both methods re equivlet sie if we rell the idetity D D I( ) I( ) we yield to the sme result, o mtter if we itegrte/differetite with respet to the prmeter or if we itegrte by prts. A similr ide be pplied to itegrls of the form d b first we defie s ( b) for << the distributio T ( b, ), for regulr eough futio ( ) we otherwise osider (i the sese of distributio) our diverget itegrl to be the lier opertor T[ ] ( ) for y rel s, the ide is to perform differ-itegrtio s ( b) -times so s /. First we must itrodue the oept of differ-itegrl or frtiol derivtive of y order, there re mily [6] 3 defiitios ( ) ( ) ( ) D f dt t f t dt ( ) q m q D f ( ) lim ( ) f ( ( q m) h) h q h m m (7) The first defiitio iside (7) is the epressio for frtiol itegrl (ot vlid for egtive ), the seod oe is the Gruwld-Letiov differitegrl vlid for positive q, the third ltertive for the derivtive omes from the defiitio of q ( q ) dz Cuhy s itegrl formul D f ( ) f ( z) q i for y retifible urve ( z ) o the omple ple tht iludes the poit z= Emple: Let be the sigulr itegrl I ( b) ( ) s ( b), i order to give it fiite vlue first we differetite -times with respet to b so s / hee ( s) Db I( b) ( ) ( s ), we me the the hge of vrible b our itegrl beomes b ( s) b ( ) ( ) D I b du b u ( s ), the we defie the b b u so df futio F so ( b u ) this implies du ( s) Db I( b) F( b) F( b) filly tig the iverse opertor we ( s ) ( s) set I ( b) Db F( b) Db F( b) ( b, ) (8) ( s ) d f Here mu is rel umber d Db f eists i the sese of frtiol derivtive/itegrl d D ( b, ). We set the oditio s / beuse with b hge of vrible we void the pole b / t =b. 4
5 The sme strtegy be pplied to sigulr itegrl equtio, for emple if we wished to solve the followig equtio dt f ( ) g( ) f ( t) so t ( ) dt D f ( ) D g( ) f ( t) ( ) (9) t Where /, mig the hge of vrible t u so (9) beomes ( ) ( ) ( ) ( ) D f D g du f u ( ) Gmm futio () Now, equtio () hs NO poles t t=, to solve this itegrl equtio without sigulrity we ould use itertive proess ( ) D f D g du f u f ( ) g( ) ( ) ( ) ( ) ( ) () Where we hve supposed tht D (, ) (, ) i order to simplify the lultios of the solutio of the itegrl. The oe ould s, wht hppes i the limit b, i this se the qutity b beomes zero for every, so the I(b) must ted to for b big hee we should hoose the futio ( b, ) with the oditios D ( b, ) d b ( s) lim Db F( b) Db F( b) ( b, ) b ( s ) () o Logrithmi divergees The se of the logrithmi itegrl is bit differet, sie formul (4) ot hdle it,due to the pole of zet futio t s=, oe of the ides to pply [4] is just to reple the diverget itegrl by diverget series with h beig step (we / h use etgle method ),this series is still diverget but be ssiged fiite vlue vi muj resummtio equl to the logrithmi derivtive of Gmm futio ',however this id of method depeds o the vlue of the step h give. h 5
6 From Fourier lysis oe iterprette, the itegrl s the followig H ( ) H ( ) ovolutio H * with H() the Heviside step futio, usig the property of the Fourier trsform d the ovolutio theorem H ( ) i iu H * d u ( u) e I( ) i u (3) Here is the bsolute vlue futio tht tes the vlue or depedig o if is either positive or egtive, solvig Fourier trsform (3) we solve the logrithmi UV divergee. If we solve (3) for fied the for other vlue b so b is b differet from or iifiite we hve log I( ) b Aother simpler method is tht if we hve I( ) diverget itegrl, we differetite with respet to I '( ) so itegrtig gi with ( ) respet to I( ) log( ) ( ), with uiversl diverget ( ) D I( ) ( ) ( ) ( ) ( ) (4) So I ( ) ( ) ( ) D (, ), with d D (, ), oe of the problems is the ppret bsurdity sie due to the term there is omple otributio to itegrl with rel-vlued itegrd. A ltertive formultio bsed o Hurwitz Zet futio is the followig log( ) d H (, ) log ( ) log (5) For the sum lo g( ) (, ), this is the Zet-regulrized defiitio for the s H Determit of opertor, ombitio of the epressios iside (5) gives the ' regulrized vlue for the Hrmoi sum ( ) (i se = we get the Euler-Msheroi ostt), this is the logue result to simply usig muj resummtio for the series s s >, d s=-, stds for the emider term r B r iside Euler-Mluri summtio formul d is r r ( r)! 6
7 Appedi: Covolutio theorem I this pper we hve itrodued d used the Covolutio theorem, if we hve the ovolutio of futios or distributios f() d g() defied s h( z) f ( ) g( z) the H ( u) F( u) G( u) with F, G d H the fourier trsform respetively of h(z) f() d g(). iu e f ( ) F( u) Proof:= if we defie iuz iuz dze h( z) dze f ( ) g( z) iu d e g( ) G( u), we me the hge of vrible y z so = -dz ito the first itegrl so we hve the followig idetities iuz iu( y) iu iuy dze f ( ) g( z) dye f ( ) g( y) dye f ( ) g( y) e The first itegrl o the left is just H(u) d usig Fubii s theorem to iterhge the order of itegrtio we hve bee ble to proof tht H ( u) F( u) G( u). If we me g( ) H ( ) d f ( ), the H ( ) pplyig ovolutio theorem d the Fourier trsform iu i i du ( u) D ( u) e u > (7), hee Ufortutely there re some oddities with defiig produt of distributios D (6) D,, withi distributio theory, however if the itegrl f ( ) mes sese s iem itegrl, if we defie F(u) s the Fourier trsform of f() the the F() Covolutio theorem gives the regulrized result dtf ( t) f ( ) for some d el, for the se of f ( ) with Fourier trsform the itegrl is d diverget i the iem sese but be tthed fiite vlue log( ), sie is eve its derivtive will be odd so the me vlue of the derivtive er = 7
8 will be d we hve Mluri summtio formul to get log( ). The lst method would be to use the Euler- r B r d r r ( r )! (8) The problem is tht (, ) H is still diverget, lthough usig mujsummtio we tth this series the fiite vlue (, ) ( ) H d plug this result ito (7), I both ses the pproimtio of the itegrl by sum ( ) d the result log( ) re equivlet for (big ) sie usig the Stirlig s pproimtio for log ( ) d tig the derivtive we get '( ) / ( ) the symptoti result lim log( ) eferees: [] Estrd. Kwl. A distributiol pproh to symptotis Bosto Birhäuser Birhäuser () ISBN: [] Elizlde E. ; Zet-futio regulriztio is well-defied, Jourl of Physis A 7 (994), L [3] Gri J.J Chebyshev Sttistil Prtitio futio : A oetio betwee Sttistil Mehis d iem Hypothesis Ed. Geerl Siee Jourl (GSJ) 7 (ISSN ) [4] Gri J.J A ew pproh to reormliztio of UV divergees usig Zet regulriztio tehiques Ed. Geerl Siee Jourl (GSJ) 8 (ISSN ) [5] Griffiths, Dvid J. (4). Itrodutio to Qutum Mehis (d ed.). Pretie Hll. ISBN OCLC A stdrd udergrdute tet. [6] Keeth S. Miller & Bertrm oss A Itrodutio to the Frtiol Clulus d Frtiol Differetil Equtios Publisher: Joh Wiley & Sos; (993). ISBN [7] Lighthill M.J Itrodutio to Fourier Alysis d geerlized futio Cmbridge Uiversity Press (978) (ISBN ) 8
9 [8] Shwrtz L (954): Sur l'impossibilité de l multiplitios des distributios, C..Ad. Si. Pris 39, pp [9] Yduri, F.J. (996). eltivisti Qutum Mehis d Itrodutio to Field Theory (st ed.). ISBN
ABEL RESUMMATION, REGULARIZATION, RENORMALIZATION AND INFINITE SERIES
ABEL RESUMMATION, REGULARIZATION, RENORMALIZATION AND INFINITE SERIES Jose Jvier Grci Moret Grdute studet of Physics t the UPV/EHU (Uiversity of Bsque coutry) I Solid Stte Physics Addres: Prctictes Ad
More informationAbel Resummation, Regularization, Renormalization & Infinite Series
Prespcetime Jourl August 3 Volume 4 Issue 7 pp. 68-689 Moret, J. J. G., Abel Resummtio, Regulriztio, Reormliztio & Ifiite Series Abel Resummtio, Regulriztio, Reormliztio & Ifiite Series 68 Article Jose
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS. and x i = a + i. i + n(n + 1)(2n + 1) + 2a. (b a)3 6n 2
MATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS 6.9: Let f(x) { x 2 if x Q [, b], 0 if x (R \ Q) [, b], where > 0. Prove tht b. Solutio. Let P { x 0 < x 1 < < x b} be regulr prtitio
More informationZETA REGULARIZATION METHOD APPLIED TO THE CALCULATION OF DIVERGENT INTEGRALS
ZETA REGULARIZATION METOD APPLIED TO TE CALCULATION OF DIVERGENT INTEGRALS s Jose Jvier Grci Moret Grdute studet of Physics t the UPV/EU (Uiversity of Bsque coutry) I Solid Stte Physics Addres: Prctictes
More informationRiemann Integral Oct 31, such that
Riem Itegrl Ot 31, 2007 Itegrtio of Step Futios A prtitio P of [, ] is olletio {x k } k=0 suh tht = x 0 < x 1 < < x 1 < x =. More suitly, prtitio is fiite suset of [, ] otiig d. It is helpful to thik of
More informationNumerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1
Numeril Methods Leture 5. Numeril itegrtio dr h. iż. Ktrzy Zkrzewsk, pro. AGH Numeril Methods leture 5 Outlie Trpezoidl rule Multi-segmet trpezoidl rule Rihrdso etrpoltio Romerg's method Simpso's rule
More information0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.
. Computtio of Fourier Series I this sectio, we compute the Fourier coefficiets, f ( x) cos( x) b si( x) d b, i the Fourier series To do this, we eed the followig result o the orthogolity of the trigoometric
More informationZETA REGULARIZATION APPLIED TO THE PROBLEM OF RIEMANN HYPOTHESIS AND THE CALCULATION OF DIVERGENT INTEGRALS
ZETA REGULARIZATION APPLIED TO THE PROBLEM OF RIEMANN HYPOTHESIS AND THE CALCULATION OF DIVERGENT INTEGRALS Jose Jvier Grci Moret Grdute studet of Physics t the UPV/EHU (Uiversity of Bsque coutry) I Solid
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 10 SOLUTIONS. f m. and. f m = 0. and x i = a + i. a + i. a + n 2. n(n + 1) = a(b a) +
MATH 04: INTRODUCTORY ANALYSIS SPRING 008/09 PROBLEM SET 0 SOLUTIONS Throughout this problem set, B[, b] will deote the set of ll rel-vlued futios bouded o [, b], C[, b] the set of ll rel-vlued futios
More informationa f(x)dx is divergent.
Mth 250 Exm 2 review. Thursdy Mrh 5. Brig TI 30 lultor but NO NOTES. Emphsis o setios 5.5, 6., 6.2, 6.3, 3.7, 6.6, 8., 8.2, 8.3, prt of 8.4; HW- 2; Q-. Kow for trig futios tht 0.707 2/2 d 0.866 3/2. From
More informationINTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)
Mthemtics Revisio Guides Itegrtig Trig, Log d Ep Fuctios Pge of MK HOME TUITION Mthemtics Revisio Guides Level: AS / A Level AQA : C Edecel: C OCR: C OCR MEI: C INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)
More informationWeek 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:
Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the
More information1.3 Continuous Functions and Riemann Sums
mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be
More information12.2 The Definite Integrals (5.2)
Course: Aelerted Egieerig Clulus I Istrutor: Mihel Medvisky. The Defiite Itegrls 5. Def: Let fx e defied o itervl [,]. Divide [,] ito suitervls of equl width Δx, so x, x + Δx, x + jδx, x. Let x j j e ritrry
More informationSection 11.5 Notes Page Partial Fraction Decomposition. . You will get: +. Therefore we come to the following: x x
Setio Notes Pge Prtil Frtio Deompositio Suppose we were sked to write the followig s sigle frtio: We would eed to get ommo deomitors: You will get: Distributig o top will give you: 8 This simplifies to:
More informationDynamics of Structures
UNION Dymis of Strutures Prt Zbigiew Wójii Je Grosel Projet o-fied by Europe Uio withi Europe Soil Fud UNION Mtries Defiitio of mtri mtri is set of umbers or lgebri epressios rrged i retgulr form with
More informationFOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),
FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES To -periodic fuctio f() we will ssocite trigoometric series + cos() + b si(), or i terms of the epoetil e i, series of the form c e i. Z For most of the
More informationApproximate Integration
Study Sheet (7.7) Approimte Itegrtio I this sectio, we will ler: How to fid pproimte vlues of defiite itegrls. There re two situtios i which it is impossile to fid the ect vlue of defiite itegrl. Situtio:
More informationLimit of a function:
- Limit of fuctio: We sy tht f ( ) eists d is equl with (rel) umer L if f( ) gets s close s we wt to L if is close eough to (This defiitio c e geerlized for L y syig tht f( ) ecomes s lrge (or s lrge egtive
More informationReview of the Riemann Integral
Chpter 1 Review of the Riem Itegrl This chpter provides quick review of the bsic properties of the Riem itegrl. 1.0 Itegrls d Riem Sums Defiitio 1.0.1. Let [, b] be fiite, closed itervl. A prtitio P of
More informationTaylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best
Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =
More informationAddendum. Addendum. Vector Review. Department of Computer Science and Engineering 1-1
Addedum Addedum Vetor Review Deprtmet of Computer Siee d Egieerig - Coordite Systems Right hded oordite system Addedum y z Deprtmet of Computer Siee d Egieerig - -3 Deprtmet of Computer Siee d Egieerig
More informationNumerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials
Numericl Solutios of Fredholm Itegrl Equtios Usig erstei Polyomils A. Shiri, M. S. Islm Istitute of Nturl Scieces, Uited Itertiol Uiversity, Dhk-, gldesh Deprtmet of Mthemtics, Uiversity of Dhk, Dhk-,
More informationRemarks: (a) The Dirac delta is the function zero on the domain R {0}.
Sectio Objective(s): The Dirc s Delt. Mi Properties. Applictios. The Impulse Respose Fuctio. 4.4.. The Dirc Delt. 4.4. Geerlized Sources Defiitio 4.4.. The Dirc delt geerlized fuctio is the limit δ(t)
More informationy udv uv y v du 7.1 INTEGRATION BY PARTS
7. INTEGRATION BY PARTS Ever differetitio rule hs correspodig itegrtio rule. For istce, the Substitutio Rule for itegrtio correspods to the Chi Rule for differetitio. The rule tht correspods to the Product
More informationThomas J. Osler Mathematics Department Rowan University Glassboro NJ Introduction
Ot 0 006 Euler s little summtio formul d speil vlues of te zet futio Toms J Osler temtis Deprtmet Row Uiversity Glssboro J 0608 Osler@rowedu Itrodutio I tis ote we preset elemetry metod of determiig vlues
More informationECE 102 Engineering Computation
ECE Egieerig Computtio Phillip Wog Mth Review Vetor Bsis Mtri Bsis System of Lier Equtios Summtio Symol is the symol for summtio. Emple: N k N... 9 k k k k k the, If e e e f e f k Vetor Bsis A vetor is
More informationPRODUCT OF DISTRIBUTIONS AND ZETA REGULARIZATION OF DIVERGENT INTEGRALS
PRODUCT OF DISTRIBUTIONS AND ZETA REGULARIZATION OF DIVERGENT INTEGRALS s AND FOURIER TRANSFORMS Jose Jvier Grci Moret Grdte stdet of Physics t the UPV/EHU (Uiversity of Bsqe cotry) I Solid Stte Physics
More information1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2
Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit
More informationSchrödinger Equation Via Laplace-Beltrami Operator
IOSR Jourl of Mthemtics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume 3, Issue 6 Ver. III (Nov. - Dec. 7), PP 9-95 www.iosrjourls.org Schrödiger Equtio Vi Lplce-Beltrmi Opertor Esi İ Eskitşçioğlu,
More information n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2!
mth power series, prt ii 7 A Very Iterestig Emple Oe of the first power series we emied ws! + +! + + +!! + I Emple 58 we used the rtio test to show tht the itervl of covergece ws (, ) Sice the series coverges
More informationCourse 121, , Test III (JF Hilary Term)
Course 2, 989 9, Test III (JF Hilry Term) Fridy 2d Februry 99, 3. 4.3pm Aswer y THREE questios. Let f: R R d g: R R be differetible fuctios o R. Stte the Product Rule d the Quotiet Rule for differetitig
More informationAP Calculus AB AP Review
AP Clulus AB Chpters. Re limit vlues from grphsleft-h Limits Right H Limits Uerst tht f() vlues eist ut tht the limit t oes ot hve to.. Be le to ietify lel isotiuities from grphs. Do t forget out the 3-step
More informationProbability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.
Probbility d Stochstic Processes: A Friedly Itroductio for Electricl d Computer Egieers Roy D. Ytes d Dvid J. Goodm Problem Solutios : Ytes d Goodm,4..4 4..4 4..7 4.4. 4.4. 4..6 4.6.8 4.6.9 4.7.4 4.7.
More informationChapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures
Chpter 5 The Riem Itegrl 5.1 The Riem itegrl Note: 1.5 lectures We ow get to the fudmetl cocept of itegrtio. There is ofte cofusio mog studets of clculus betwee itegrl d tiderivtive. The itegrl is (iformlly)
More informationFrequency-domain Characteristics of Discrete-time LTI Systems
requecy-domi Chrcteristics of Discrete-time LTI Systems Prof. Siripog Potisuk LTI System descriptio Previous bsis fuctio: uit smple or DT impulse The iput sequece is represeted s lier combitio of shifted
More informationMA123, Chapter 9: Computing some integrals (pp )
MA13, Chpter 9: Computig some itegrls (pp. 189-05) Dte: Chpter Gols: Uderstd how to use bsic summtio formuls to evlute more complex sums. Uderstd how to compute its of rtiol fuctios t ifiity. Uderstd how
More informationProject 3: Using Identities to Rewrite Expressions
MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht
More informationf(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a.
Eercise 5 For y < A < B, we hve B A f fb B d = = A B A f d f d For y ɛ >, there re N > δ >, such tht d The for y < A < δ d B > N, we hve ba f d f A bb f d l By ba A A B A bb ba fb d f d = ba < m{, b}δ
More informationTHE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING
OLLSCOIL NA héireann, CORCAIGH THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING MATHEMATICS MA008 Clculus d Lier
More informationChapter 2. LOGARITHMS
Chpter. LOGARITHMS Dte: - 009 A. INTRODUCTION At the lst hpter, you hve studied bout Idies d Surds. Now you re omig to Logrithms. Logrithm is ivers of idies form. So Logrithms, Idies, d Surds hve strog
More informationAccuplacer Elementary Algebra Study Guide
Testig Ceter Studet Suess Ceter Aupler Elemetry Alger Study Guide The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give
More information1 Tangent Line Problem
October 9, 018 MAT18 Week Justi Ko 1 Tget Lie Problem Questio: Give the grph of fuctio f, wht is the slope of the curve t the poit, f? Our strteg is to pproimte the slope b limit of sect lies betwee poits,
More informationDouble Sums of Binomial Coefficients
Itertiol Mthemticl Forum, 3, 008, o. 3, 50-5 Double Sums of Biomil Coefficiets Athoy Sofo School of Computer Sciece d Mthemtics Victori Uiversity, PO Box 448 Melboure, VIC 800, Austrli thoy.sofo@vu.edu.u
More informationChapter 5. Integration
Chpter 5 Itegrtio Itrodutio The term "itegrtio" hs severl meigs It is usully met s the reverse proess to differetitio, ie fidig ti-derivtive to futio A ti-derivtive of futio f is futio F suh tht its derivtive
More informationNeighborhoods of Certain Class of Analytic Functions of Complex Order with Negative Coefficients
Ge Mth Notes Vol 2 No Jury 20 pp 86-97 ISSN 229-784; Copyriht ICSRS Publitio 20 wwwi-srsor Avilble free olie t http://wwwemi Neihborhoods of Certi Clss of Alyti Futios of Complex Order with Netive Coeffiiets
More information( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III.
Assessmet Ceter Elemetry Alger Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give
More informationMAS221 Analysis, Semester 2 Exercises
MAS22 Alysis, Semester 2 Exercises Srh Whitehouse (Exercises lbelled * my be more demdig.) Chpter Problems: Revisio Questio () Stte the defiitio of covergece of sequece of rel umbers, ( ), to limit. (b)
More informationTopic 4 Fourier Series. Today
Topic 4 Fourier Series Toy Wves with repetig uctios Sigl geertor Clssicl guitr Pio Ech istrumet is plyig sigle ote mile C 6Hz) st hrmoic hrmoic 3 r hrmoic 4 th hrmoic 6Hz 5Hz 783Hz 44Hz A sigle ote will
More informationGeneral properties of definite integrals
Roerto s Notes o Itegrl Clculus Chpter 4: Defiite itegrls d the FTC Sectio Geerl properties of defiite itegrls Wht you eed to kow lredy: Wht defiite Riem itegrl is. Wht you c ler here: Some key properties
More informationInfinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex:
Ifiite Series Sequeces: A sequece i defied s fuctio whose domi is the set of positive itegers. Usully it s esier to deote sequece i subscript form rther th fuctio ottio.,, 3, re the terms of the sequece
More informationSM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory
SMH Uit Polyomils, Epoets, Rdicls & Comple Numbers Notes.1 Number Theory .1 Addig, Subtrctig, d Multiplyig Polyomils Notes Moomil: A epressio tht is umber, vrible, or umbers d vribles multiplied together.
More informationDefinition Integral. over[ ab, ] the sum of the form. 2. Definite Integral
Defiite Itegrl Defiitio Itegrl. Riem Sum Let f e futio efie over the lose itervl with = < < < = e ritrr prtitio i suitervl. We lle the Riem Sum of the futio f over[, ] the sum of the form ( ξ ) S = f Δ
More informationf(t)dt 2δ f(x) f(t)dt 0 and b f(t)dt = 0 gives F (b) = 0. Since F is increasing, this means that
Uiversity of Illiois t Ur-Chmpig Fll 6 Mth 444 Group E3 Itegrtio : correctio of the exercises.. ( Assume tht f : [, ] R is cotiuous fuctio such tht f(x for ll x (,, d f(tdt =. Show tht f(x = for ll x [,
More informationGraphing Review Part 3: Polynomials
Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)
More informationUNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006)
UNIVERSITY OF BRISTOL Exmitio for the Degrees of B.Sc. d M.Sci. (Level C/4) ANALYSIS B, SOLUTIONS MATH 6 (Pper Code MATH-6) My/Jue 25, hours 3 miutes This pper cotis two sectios, A d B. Plese use seprte
More informationMath 2414 Activity 17 (Due with Final Exam) Determine convergence or divergence of the following alternating series: a 3 5 2n 1 2n 1
Mth 44 Activity 7 (Due with Fil Exm) Determie covergece or divergece of the followig ltertig series: l 4 5 6 4 7 8 4 {Hit: Loo t 4 } {Hit: } 5 {Hit: AST or just chec out the prtil sums} {Hit: AST or just
More informationCrushed Notes on MATH132: Calculus
Mth 13, Fll 011 Siyg Yg s Outlie Crushed Notes o MATH13: Clculus The otes elow re crushed d my ot e ect This is oly my ow cocise overview of the clss mterils The otes I put elow should ot e used to justify
More informationConvergence rates of approximate sums of Riemann integrals
Jourl of Approximtio Theory 6 (9 477 49 www.elsevier.com/locte/jt Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsukub, Tsukub Ibrki
More information( ) dx ; f ( x ) is height and Δx is
Mth : 6.3 Defiite Itegrls from Riem Sums We just sw tht the exct re ouded y cotiuous fuctio f d the x xis o the itervl x, ws give s A = lim A exct RAM, where is the umer of rectgles i the Rectgulr Approximtio
More informationlecture 16: Introduction to Least Squares Approximation
97 lecture 16: Itroductio to Lest Squres Approximtio.4 Lest squres pproximtio The miimx criterio is ituitive objective for pproximtig fuctio. However, i my cses it is more ppelig (for both computtio d
More information2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function
Chpter VII Speil Futios Otober 7, 8 479 CHAPTER VII SPECIA FUNCTIONS Cotets: Heviside step futio, filter futio Dir delt futio, modelig of impulse proesses Sie itegrl futio 4 Error futio 5 Gmm futio E Epoetil
More informationEXPONENTS AND LOGARITHMS
978--07-6- Mthemtis Stdrd Level for IB Diplom Eerpt EXPONENTS AND LOGARITHMS WHAT YOU NEED TO KNOW The rules of epoets: m = m+ m = m ( m ) = m m m = = () = The reltioship etwee epoets d rithms: = g where
More informationFast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation
Algorithm Desig d Alsis Victor Admchi CS 5-45 Sprig 4 Lecture 3 J 7, 4 Cregie Mello Uiversit Outlie Fst Fourier Trsform ) Legedre s Iterpoltio ) Vdermode Mtri 3) Roots of Uit 4) Polomil Evlutio Guss (777
More informationDEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018
DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Assoc. Prof. Dr. Bur Kelleci Sprig 8 OUTLINE The Z-Trsform The Regio of covergece for the Z-trsform The Iverse Z-Trsform Geometric
More informationIntroduction of Fourier Series to First Year Undergraduate Engineering Students
Itertiol Jourl of Adved Reserh i Computer Egieerig & Tehology (IJARCET) Volume 3 Issue 4, April 4 Itrodutio of Fourier Series to First Yer Udergrdute Egieerig Studets Pwr Tejkumr Dtttry, Hiremth Suresh
More informationBRAIN TEASURES INDEFINITE INTEGRATION+DEFINITE INTEGRATION EXERCISE I
EXERCISE I t Q. d Q. 6 6 cos si Q. Q.6 d d Q. d Q. Itegrte cos t d by the substitutio z = + e d e Q.7 cos. l cos si d d Q. cos si si si si b cos Q.9 d Q. si b cos Q. si( ) si( ) d ( ) Q. d cot d d Q. (si
More informationMTH 146 Class 16 Notes
MTH 46 Clss 6 Notes 0.4- Cotiued Motivtio: We ow cosider the rc legth of polr curve. Suppose we wish to fid the legth of polr curve curve i terms of prmetric equtios s: r f where b. We c view the cos si
More informationAPPLICATION OF DIFFERENCE EQUATIONS TO CERTAIN TRIDIAGONAL MATRICES
Scietific Reserch of the Istitute of Mthetics d Coputer Sciece 3() 0, 5-0 APPLICATION OF DIFFERENCE EQUATIONS TO CERTAIN TRIDIAGONAL MATRICES Jolt Borows, Le Łcińs, Jowit Rychlews Istitute of Mthetics,
More informationWaves in dielectric media. Waveguiding: χ (r ) Wave equation in linear non-dispersive homogenous and isotropic media
Wves i dieletri medi d wveguides Setio 5. I this leture, we will osider the properties of wves whose propgtio is govered by both the diffrtio d ofiemet proesses. The wveguides re result of the ble betwee
More informationSPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is
SPH3UW Uit 7.5 Sell s Lw Pge 1 of 7 Notes Physis Tool ox Refrtio is the hge i diretio of wve due to hge i its speed. This is most ommoly see whe wve psses from oe medium to other. Idex of refrtio lso lled
More informationCS 331 Design and Analysis of Algorithms. -- Divide and Conquer. Dr. Daisy Tang
CS 33 Desig d Alysis of Algorithms -- Divide d Coquer Dr. Disy Tg Divide-Ad-Coquer Geerl ide: Divide problem ito subproblems of the sme id; solve subproblems usig the sme pproh, d ombie prtil solutios,
More informationHypergeometric Functions and Lucas Numbers
IOSR Jourl of Mthetis (IOSR-JM) ISSN: 78-78. Volue Issue (Sep-Ot. ) PP - Hypergeoetri utios d us Nuers P. Rjhow At Kur Bor Deprtet of Mthetis Guhti Uiversity Guwhti-78Idi Astrt: The i purpose of this pper
More informationMath 3B Midterm Review
Mth 3B Midterm Review Writte by Victori Kl vtkl@mth.ucsb.edu SH 643u Office Hours: R 11:00 m - 1:00 pm Lst updted /15/015 Here re some short otes o Sectios 7.1-7.8 i your ebook. The best idictio of wht
More informationApproximations of Definite Integrals
Approximtios of Defiite Itegrls So fr we hve relied o tiderivtives to evlute res uder curves, work doe by vrible force, volumes of revolutio, etc. More precisely, wheever we hve hd to evlute defiite itegrl
More informationExponents and Radical
Expoets d Rdil Rule : If the root is eve d iside the rdil is egtive, the the swer is o rel umber, meig tht If is eve d is egtive, the Beuse rel umber multiplied eve times by itself will be lwys positive.
More informationA GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD
Diol Bgoo () A GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD I. Itroductio The first seprtio of vribles (see pplictios to Newto s equtios) is ver useful method
More informationUnit 1. Extending the Number System. 2 Jordan School District
Uit Etedig the Number System Jord School District Uit Cluster (N.RN. & N.RN.): Etedig Properties of Epoets Cluster : Etedig properties of epoets.. Defie rtiol epoets d eted the properties of iteger epoets
More informationB. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i
Mth 06 Clculus Sec. 5.: The Defiite Itegrl I. Riem Sums A. Def : Give y=f(x):. Let f e defied o closed itervl[,].. Prtitio [,] ito suitervls[x (i-),x i ] of legth Δx i = x i -x (i-). Let P deote the prtitio
More informationContent: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B.
Review Sheet: Chpter Cotet: Essetil Clculus, Erly Trscedetls, Jmes Stewrt, 007 Chpter : Fuctios d Limits Cocepts, Defiitios, Lws, Theorems: A fuctio, f, is rule tht ssigs to ech elemet i set A ectly oe
More informationSection 2.2. Matrix Multiplication
Mtri Alger Mtri Multiplitio Setio.. Mtri Multiplitio Mtri multiplitio is little more omplite th mtri itio or slr multiplitio. If A is the prout A of A is the ompute s follow: m mtri, the is k mtri, 9 m
More informationEigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x):
Eigefuctio Epsio: For give fuctio o the iterl the eigefuctio epsio of f(): f ( ) cmm( ) m 1 Eigefuctio Epsio (Geerlized Fourier Series) To determie c s we multiply oth sides y Φ ()r() d itegrte: f ( )
More informationUNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION
School Of Distce Eductio Questio Bk UNIVERSITY OF ALIUT SHOOL OF DISTANE EDUATION B.Sc MATHEMATIS (ORE OURSE SIXTH SEMESTER ( Admissio OMPLEX ANALYSIS Module- I ( A lytic fuctio with costt modulus is :
More informationBC Calculus Review Sheet
BC Clculus Review Sheet Whe you see the words. 1. Fid the re of the ubouded regio represeted by the itegrl (sometimes 1 f ( ) clled horizotl improper itegrl). This is wht you thik of doig.... Fid the re
More informationProbability for mathematicians INDEPENDENCE TAU
Probbility for mthemticis INDEPENDENCE TAU 2013 21 Cotets 2 Cetrl limit theorem 21 2 Itroductio............................ 21 2b Covolutio............................ 22 2c The iitil distributio does
More informationChapter System of Equations
hpter 4.5 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee
More informationParticle in a Box. and the state function is. In this case, the Hermitian operator. The b.c. restrict us to 0 x a. x A sin for 0 x a, and 0 otherwise
Prticle i Box We must hve me where = 1,,3 Solvig for E, π h E = = where = 1,,3, m 8m d the stte fuctio is x A si for 0 x, d 0 otherwise x ˆ d KE V. m dx I this cse, the Hermiti opertor 0iside the box The
More informationOptions: Calculus. O C.1 PG #2, 3b, 4, 5ace O C.2 PG.24 #1 O D PG.28 #2, 3, 4, 5, 7 O E PG #1, 3, 4, 5 O F PG.
O C. PG.-3 #, 3b, 4, 5ce O C. PG.4 # Optios: Clculus O D PG.8 #, 3, 4, 5, 7 O E PG.3-33 #, 3, 4, 5 O F PG.36-37 #, 3 O G. PG.4 #c, 3c O G. PG.43 #, O H PG.49 #, 4, 5, 6, 7, 8, 9, 0 O I. PG.53-54 #5, 8
More informationCh. 12 Linear Bayesian Estimators
h. Lier Byesi stimtors Itrodutio I hpter we sw: the MMS estimtor tkes simple form whe d re joitly Gussi it is lier d used oly the st d d order momets (mes d ovries). Without the Gussi ssumptio, the Geerl
More informationLinear Programming. Preliminaries
Lier Progrmmig Prelimiries Optimiztio ethods: 3L Objectives To itroduce lier progrmmig problems (LPP To discuss the stdrd d coicl form of LPP To discuss elemetry opertio for lier set of equtios Optimiztio
More informationThe Theory of Special Relativity. (and its role in the proof of Fermat s Theorem w.r.t. the Binomial Expansion)
The Theory of Speil Reltivity (d its role i the proof of Fermt s Theorem w.r.t. the Biomil Epsio) Updted: 5/9/7 9:7 AM PST Flmeo Chuk Keyser (Chrles H. Keyser) 3/6/7 :8 AM PST BuleriChk@ol.om (Alwys refresh
More informationRiemann Integration. Chapter 1
Mesure, Itegrtio & Rel Alysis. Prelimiry editio. 8 July 2018. 2018 Sheldo Axler 1 Chpter 1 Riem Itegrtio This chpter reviews Riem itegrtio. Riem itegrtio uses rectgles to pproximte res uder grphs. This
More informationConvergence rates of approximate sums of Riemann integrals
Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsuku Tsuku Irki 5-857 Jp tski@mth.tsuku.c.jp Keywords : covergece rte; Riem sum; Riem
More informationPOWER SERIES R. E. SHOWALTER
POWER SERIES R. E. SHOWALTER. sequeces We deote by lim = tht the limit of the sequece { } is the umber. By this we me tht for y ε > 0 there is iteger N such tht < ε for ll itegers N. This mkes precise
More informationNumerical Integration
Numericl tegrtio Newto-Cotes Numericl tegrtio Scheme Replce complicted uctio or tulted dt with some pproimtig uctio tht is esy to itegrte d d 3-7 Roerto Muscedere The itegrtio o some uctios c e very esy
More informationDIGITAL SIGNAL PROCESSING LECTURE 5
DIGITAL SIGNAL PROCESSING LECTURE 5 Fll K8-5 th Semester Thir Muhmmd tmuhmmd_7@yhoo.com Cotet d Figures re from Discrete-Time Sigl Processig, e by Oppeheim, Shfer, d Buck, 999- Pretice Hll Ic. The -Trsform
More informationCalculus II Homework: The Integral Test and Estimation of Sums Page 1
Clculus II Homework: The Itegrl Test d Estimtio of Sums Pge Questios Emple (The p series) Get upper d lower bouds o the sum for the p series i= /ip with p = 2 if the th prtil sum is used to estimte the
More informationSequence and Series of Functions
6 Sequece d Series of Fuctios 6. Sequece of Fuctios 6.. Poitwise Covergece d Uiform Covergece Let J be itervl i R. Defiitio 6. For ech N, suppose fuctio f : J R is give. The we sy tht sequece (f ) of fuctios
More informationChapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Dr. Hamid R. Rabiee Fall 2013
Sigls & Systems Chpter 0: The Z-Trsform Adpted from: Lecture otes from MIT, Bighmto Uiversity Dr. Hmid R. Rbiee Fll 03 Lecture 5 Chpter 0 Lecture 6 Chpter 0 Outlie Itroductio to the -Trsform Properties
More informationSection 6.3: Geometric Sequences
40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.
More information