N-2140 Sound Propagation

Size: px
Start display at page:

Download "N-2140 Sound Propagation"

Transcription

1

2 Pink noise, in contrst, is defined s hving the sme mplitude for ech octve bnd (or third-octve bnd), rther thn for ech frequency intervl. Its octve or third-octve bnd spectrum is truly stright, level line over the entire udible spectrum. Pink noise genertors re therefore conveniently used to clibrte octve or third-octve bnd nlyzers. Both white nd pink noise sound somewht like the sttic herd from rdio tht is not tuned to prticulr sttion. N-2140 Sound Propgtion From the source to the receiver noise chnges both in level nd frequency spectrum. The most obvious is the decrese in noise s the distnce from the source increses. The mnner in which noise reduces with distnce depends on the following importnt fctors: Geometric Spreding from Point nd Line Sources Ground Absorption Atmospheric Effects nd Refrction Shielding by Nturl nd Mnmde Fetures, Noise Brriers, Diffrction, nd Reflection N-2141 Geometric Spreding from Point nd Line Sources Sound from smll loclized source (pproximting "point" source) rdites uniformly outwrd s it trvels wy from the source in sphericl pttern. The sound level ttenutes or drops-off t rte of 6 dba for ech doubling of the distnce (6 dba/dd). This decrese, due to the geometric spreding of the energy over n ever incresing re, is referred to s the inverse squre lw. Doubling the distnce increses ech unit re, represented by squres with sides in Figure N , from 2 to 4 2. Since the sme mount of energy psses through both squres, the energy per unit re t 2D is reduced 4 times from tht t distnce D. Thus, for point source the energy per unit re is inversely proportionl to the squre of the distnce. Tking 10 log 10 (1/4) results in 6 dba reduction (for ech doubling of distnce). This is the point source ttenution rte for geometric spreding. 24

3 Figure N Point Source Propgtion (Sphericl Spreding) Are = 2 Are = POINT SOURCE D D As cn be seen in Figure N , bsed on the inverse squre lw the chnge in noise level between ny two distnces due to the sphericl spreding cn be found from: dba 2 = dba Log 10 [(D 1 /D 2 )] 2 = = dba Log 10 (D 1 /D 2 ) (eq. N ) Where: dba 1 is the noise level t distnce D 1, nd dba 2 is the noise level t distnce D 2 Figure N Chnge in Noise Level with Distnce Due to Sphericl Spreding Source Rec. 1 Rec. 2 D 1 D 2 However, highwy trffic noise is not single, sttionry point source of sound. The movement of the vehicles mkes the source of the sound pper to emnte from line (line source) rther thn point when viewed over some time intervl (see Figure N ). This results in cylindricl spreding rther thn the sphericl spreding of point source. 25

4 Since the chnge in surfce re of cylinder only increses by two times for ech doubling of the rdius insted of the four times ssocited with spheres, the chnge in sound level is 3 dba per doubling of distnce. The chnge in noise levels for line source t ny two different distnces due to the cylindricl spreding becomes: dba 2 = dba Log 10 (D 1 /D 2 ) (eq. N ) Where: dba 1 is the noise level t distnce D 1, nd conventionlly the known noise level dba 2 is the noise level t distnce D 2, nd conventionlly the unknown noise level Note: the expression 10 Log 10 (D 1 /D 2 ) is negtive when D 2 is greter thn D 1, positive when D 1 is greter thn D 2, nd the eqution therefore utomticlly ccounts for the receiver being frther out or closer in with respect to the source (Log 10 of number less thn 1 gives negtive result; Log 10 of number greter thn 1 is positive, nd Log 10 (1) = 0). Figure N Line Source Propgtion (Cylindricl Spreding) Line Source Are = b Are = 2b D b 2D 2b N-2142 Ground Absorption Most often, the noise pth between the highwy nd the observer is very close to the ground. Noise ttenution from ground bsorption nd reflective wve cnceling dds to the ttenution due to geometric spreding. Trditionlly, the ccess ttenution hs lso been expressed in terms of ttenution per doubling of distnce. This pproximtion is done for simplifiction only, nd for distnces of less thn 60 m (200 feet) prediction results bsed on this scheme re sufficiently ccurte. The sum of the geometric spreding ttenution nd the excess ground ttenution (if ny) is referred to s the ttenution rte, 26

5 Temperture nd humidity - Moleculr bsorption in ir lso reduces noise levels with distnce. Although this process only ccounts for bout 1 dba per 300 m (1000 ft) under verge conditions of trffic noise in Cliforni, the process cn cuse significnt longer rnge effects. Air temperture, nd humidity ffect moleculr bsorption differently depending on the frequency spectrum, nd cn vry significntly over long distnces, in complex mnner. Rin. - Wet pvement results in n increse in tire noise nd corresponding increse in frequencies of noise t the source. Since the propgtion of noise is frequency dependent, rin my lso ffect distnce ttenution rtes. On the other hnd, trffic generlly slows down during rin, decresing noise levels nd lowering frequencies. When wet, different pvement types interct differently with tires thn when they re dry. These fctors mke it very difficult to predict noise levels during rin. Hence, no noise mesurements or predictions re mde for riny conditions. Noise btement criteri nd stndrds do not ddress rin. N-2144 Shielding by Nturl nd Mn-mde Fetures, Noise Brriers, Diffrction, nd Reflection A lrge object in the pth between noise source nd receiver cn significntly ttenute noise levels t tht receiver. The mount of ttenution provided by this shielding depends on the size of the object, nd frequencies of the noise levels. Nturl terrin fetures, such s hills nd dense woods, s well s mnmde fetures, such s buildings nd wlls cn significntly lter noise levels. Wlls re often specificlly used to reduce noise. Trees nd Vegettion - For vegettive strip to hve noticeble effect on noise levels it must be dense nd wide. A stnd of trees with height tht extends t lest 5 m (16 ft) bve the line of sight between source nd receiver, must be t lest 30 m (100 ft) wide nd dense enough to completely obstruct visul pth to the source to ttenute trffic noise by 5 dba. The effects pper to be cumultive, i.e. 60 m (200 ft) wide stnd of trees would reduce noise by n dditionl 5 dba. However, the limit is generlly totl reduction of 10 dba. The reson for the 10 dba limit for ny type of vegettion is tht sound wves pssing over the tree tops ( sky wves ) re frequently refrcted bck to the surfce, due to downwrd tmospheric refrction cused by wind, temperture grdients, nd turbulence. Lndscping - Cltrns reserch hs shown tht ordinry lndscping long highwy ccounts for less thn 1 dba reduction. Clims of increses in noise due to removl of vegettion long highwys re mostly spurred by the sudden visibility of the trffic source. 33

6 There is evidence of the psychologicl "out of sight, out of mind" effect of vegettion on noise. Buildings - Depending on the site geometry, the first row of houses or buildings next to highwy my shield the second nd successive rows. This is often the cse where the fcility is t-grde or depressed. The mount of noise reduction vries with house or buildig sizes, spcing of houses or buildings, nd site geometry. Generlly, for n t-grde fcility in n verge residentil re where the first row houses cover t lest 40% of totl re (i.e. no more thn 60% spcing), the reduction provided by the first row is resonbly ssumed t 3 dba, nd 1.5 dba for ech dditionl row. For exmple, behind the first row we my expect 3 dba noise reduction, behind the second row 4.5 dba, third row 6 dba, etc. For houses or buildings pcked tightly, (covering bout 65-90% of the re, with 10-35% open spce), the first row provides bout 5 dba reduction. Successive rows still reduce 1.5 dba per row. Once gin, nd for the reson mentioned in the bove vegettion discussion, the limit is 10 dba. For these ssumptions to be true, the first row of houses or buidings must be equl to or higher thn the second row, which should be equl to or higher thn the third row, etc. Noise Brriers - Although techniclly ny nturl or mn-mde feture between source nd receiver tht reduces noise is noise brrier, the term is generlly reserved for either wll or berm tht is specificlly constructed for tht purpose. The cousticl design of noise brriers is covered in sections N-4000 (Trffic Noise Model) nd N-6000 (Acousticl Brrier Design Considertions). However, it is pproprite t this time to introduce the cousticl concepts ssocited with noise brriers. These principles loosely pply to ny obstcle between source nd receiver. Referring to Figure N , when noise brrier is inserted between noise source nd receiver, the direct noise pth long the line of sight between the two is interrupted. Some of the cousticl energy will be trnsmitted through the brrier mteril nd continue to the source, lbeit t reduced level. The mount of this reduction depends on the mteril s mss nd rigidity, nd is clled the Trnsmission Loss. The Trnsmission Loss (TL) is expressed in db nd its mthemticl expression is: TL = 10log 10 (E f /E b ) (eq. N ) where: E = the reltive noise energy immeditely in front (source side) of the brrier f E = The reltive noise energy immeditely behind the brrier (receiver side) b 34

7 Figure N Altertion of Sound Pths After Inserting Noise Brrier Between Source nd Receiver. NOISE BARRIER A ABSORBED SOURCE DIRECT REFLECTED DIFFRACTED TRANSMITTED SHADOW ZONE RECEIVER Note tht E nd E re reltive energies, i.e. energies with reference to the energy of 0 db f b (see section N-2134). As reltive energies they my be expressed s ny rtio (frctionl or percentge) tht represents their reltionship. For instnce if 1 percent of the noise energy striking the brrier is trnsmitted, TL = 10log 10 (100/1)= 20 dba. Most noise brriers hve TL s of 30 dba or more. This mens tht only 0.1 percent of the noise energy is trnsmitted. The remining direct noise (usully close to 100 percent) is either prtilly or entirely bsorbed by the noise brrier mteril (if sound bsorptive), nd/or prtilly or entirely reflected (if the brrier mteril is sound reflective). Whether the brrier is reflective or bsorptive depends on its bility to bsorb sound energy. A smooth hrd brrier surfce such s msonry or concrete is considered to be lmost perfectly reflective, i.e.lmost ll the sound striking the brrier is reflected bck towrd the source nd beyond. A brrier surfce mteril tht is porous with mny voids is sid to be bsorptive, i.e. little or no sound is reflected bck. The mount of energy bsorbed by brrier surfce mteril is expressed s n bsorption coefficient α, which hs vlue rnging from 0 (100% reflective) to 1 (100% bsorptive). A perfect reflective brrier (α=0) will reflect bck virtully ll the noise energy (ssuming trnsmission loss of 30 dba or greter) towrds the opposite side of highwy. If we ignore the difference in pth length between the direct nd reflected noise pths to the opposite (unprotected) side of highwy, the mximum expected increse in noise will be 3 dba. If we wish to clculte the noise increse due to prtilly bsorptive wll we my use eq. N E in this cse is still the noise energy striking the brrier, but E now becomes f b 35

8 the energy reflected bck. For exmple, brrier mteril with n α of 0.6 bsorbs 60% of the direct noise energy nd reflects bck 40%. To clculte the increse in noise on the opposite side of the highwy in this sitution the energy loss from the trnsformtion of the totl noise striking the brrier to the reflected noise energy component is 10log 10 (100/40)= 4 dba. In other words, the energy loss of the reflection is 4 dba. If the direct noise level of the source t receiver on the opposite side of the highwy is 65 dba, the reflective component (ignoring the difference in distnces trveled) will be 61 dba. The totl noise level t the receiver is the sum of 65 nd 61 dba, or slightly less thn 66.5 dba. The reflected noise cused n increse of 1.5 dba t the receiver. Referring bck to Figure N , we hve discussed the direct, trnsmitted, bsorbed, nd reflected noise pths. These represent ll the vritions of the direct noise pth due to the insertion of the brrier. Of those, only the trnsmitted noise reches the receiver behind the brrier. There is, however, one more pth, which turns out to be the most imported one, tht reches the receiver. The noise pth tht before the brrier insertion ws directed towrds A is diffrcted downwrd towrds the receiver fter the brrier insertion. In generl, diffrction is chrcteristic of ll wve phenomen (including light, wter, nd sound wves). It cn best be described s the bending of wves round objects. The mount of diffrction depends on the wvelength nd the size of the object. Low frequency wves with long wvelengths pproching the size of the object, re esily diffrcted. Higher frequencies with short wvelengths in reltion to the size of the object, re not s esily diffrcted. This explins why light, with its very short wvelengths csts shdows with firly shrp, well defined edges between light nd drk. Sound wves lso cst shdow when they strike n object. However, becuse of their much longer wvelengths (by t lest hlf dozen or so orders of mgnitude) the noise shdows re not very well defined nd mount to noise reduction, rther thn n bsence of noise. Becuse noise consists of mny different frequencies tht diffrct by different mounts, it seems resonble to expect tht the greter the ngle of diffrction is, the more frequencies will be ttenuted. In Figure N , beginning with the top of the shdow zone nd going down to the ground surfce, the higher frequencies will be ttenuted first, then the middle frequencies nd finlly the lower ones. Notice tht the top of the shdow zone is defined by the extension of stright line from the noise source (in this cse represented t the noise centroid s point source) to the top fo the brrier. The diffrction ngle is defined by the top of the shdow zone nd the line from the top of the brrier to the receiver. Thus, the position of the source reltive to the top of the brrier determines the extent of the shdow zone nd the diffrction ngle to the receiver. Similrly, the receiver 36

9 loction reltive to the top of the brrier is lso importnt in determinig the diffrction ngle. From the previous discussion, three conclusions re cler. First, the diffrction phenomenon depends on three criticl loctions, tht of the source, the top of brrier, nd the reciver. Second, for given source, top of brrier nd receiver configurtion, brrier is more effective in ttenuting higher frequencies thn lower frequencies (see Figure N ). Third, the greter the ngle of diffrction, the greter the noise ttenution is. Figure N Diffrction of Sound Wves Source High Frequencies Low Frequencies Brrier The ngle of diffrction is lso relted to the pth length difference (δ) between the direct noise nd the diffrcted noise. Figure N illustrtes the concept of pth length difference. A closer exmintion of this illustrtion revels tht s the diffrction ngle becomes greter, so does δ. The pth length difference is defined s δ = +b-c. If the horizontl distnces from source to receiver nd source to brrier, nd lso the differences in elevtion between source, top brrier nd receiver re known,,b, nd c cn redily be clculted. Assuming tht the source in Figure N is point source,, b, nd c re clculted s follows: = [d + ( h h ) ] b = ( d + h ) 2 c = ( d + h )

10 Figure N Pth Length Difference Between Direct nd Diffrcted Noise Pths. TOP BARRIER SOURCE Diffrction Angle b h 1 h 2 d 1 c d 2 RECEIVER d PATH LENGTH DIFFERENCE (δ) = +b-c Highwy noise prediction models use δ in the brrier ttenution clcultions. Section N covers the subject in greter detil. However, it is pproprite to include the most bsic reltionship between δ nd brrier ttenution by wy of the so-clled Fresnel Number (N 0 ). If the source is line source (such s highwy trffic) nd the brrier is infinitely long, there re n infinite mount of pth length differences. The pth length difference (δ 0 )t the perpendiculr line to the brrier is then of interest. Mthemticlly, N 0 is defined s: N 0 = 2(δ 0 /λ) (eq. N ) where: N 0 = Fresnel Number determined long the perpendiculr line between source nd receiver (i.e. brrier must be perpendiculr to the direct noise pth) δ 0 λ = δ mesured long the perpendiculr line to the brrier = wvelength of the sound rdited by the source. According to eq. N , λ = c/f, nd we my rewrite eq. N : N 0 = 2(fδ 0 /c) (eq. N ) where: f = the frequency of the sound rdited by the source c = the speed of sound 38

11 Note tht the bove equtions relte δ 0 to N 0. If one increses, so does the other, nd brrier ttenution increses s well. Similrly, if the frequency increses, so will N 0, nd brrier ttenution. Figure N shows the brrier ttenution Δ B for n infinitely long brrier, s function of 550 Hz (typicl verge for trffic). Figure N Brrier Attenution (Δ B ) vs Fresnel Number (N 0 ), for Infinitely Long Brriers -25 Δ Β, db N 0 There re severl rules of thumb for noise brriers nd their cpbility of ttenuting trffic noise. Figure N illustrtes specil cse where the top of the brrier is just high enough to grze the direct noise pth, or line of sight between source nd receiver. In such n instnce the noise brrier provides 5 dba ttenution. Figure N Direct Noise Pth Grzing Top Brrier Results in 5 dba Attenution SOURCE NOISE BARRIER DIRECT, GRAZING RECEIVER ATTENUATION: 5 dba Another sitution, where the direct noise pth is not interrupted but still close to the brrier, will provide some noise ttenution. Such negtive diffrction (with n ssocited 39

12 negtive pth length difference nd negtive Fresnel Number ) generlly occurs when the direct noise pth is within 1.5 m (5 ft) bove the top of brrier for the verge trffic source nd receiver distnces encountered in ner highwy noise environments. The noise ttenution provided by this sitution is between 0-5 dba: 5 dba when the noise pth pproches the grzing point nd ner 0 dba when it clers the top of brrier by pproximtely 1.5 m (5 ft) or more. Figure N Negtive Diffrction Provides Some Noise Attenution SOURCE NOISE BARRIER NEGATIVE DIFFRACTION RECEIVER ATTENUATION: < 5 dba The forementioned principles of brriers loosely pply to terrin fetures (such s berms, low ridges, s well s other significnt mnmde fetures). The principles will be discussed in greter detil in sections N-5500 nd N N-2200 EFFECTS OF NOISE; NOISE DESCRIPTORS N-2210 Humn Rection to Sound People rect to sound in vriety of wys. For exmple, rock music my be plesnt to some people while for others it my be nnoying, constitute helth hzrd nd/or disrupt ctivities. Humn tolernce to noise depends on vriety of cousticl chrcteristics of the source, s well s environmentl chrcteristcs. These fctors re briefly discussed below: 1. Level, vribility in level (dynmic rnge), durtion, frequency spectrums nd time ptterns of noise. Exposures to very high noise levels cn dmge hering. A high level is more objectionble thn low level noise, nd intermittent truck pek noise levels re more objectionble thn the continuous level of fn noise. Humns hve better hering sensitivities in the high frequency region thn in the low. This is reflected in the A-scle (section N-2136) which de-emphsizes the low frequency 40

1 Which of the following summarises the change in wave characteristics on going from infra-red to ultraviolet in the electromagnetic spectrum?

1 Which of the following summarises the change in wave characteristics on going from infra-red to ultraviolet in the electromagnetic spectrum? Which of the following summrises the chnge in wve chrcteristics on going from infr-red to ultrviolet in the electromgnetic spectrum? frequency speed (in vcuum) decreses decreses decreses remins constnt

More information

25 Which of the following summarises the change in wave characteristics on going from infra-red to ultraviolet in the electromagnetic spectrum?

25 Which of the following summarises the change in wave characteristics on going from infra-red to ultraviolet in the electromagnetic spectrum? PhysicsndMthsTutor.com 25 Which of the following summrises the chnge in wve chrcteristics on going from infr-red to ultrviolet in the electromgnetic spectrum? 972//M/J/2 frequency speed (in vcuum) decreses

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

The Properties of Stars

The Properties of Stars 10/11/010 The Properties of Strs sses Using Newton s Lw of Grvity to Determine the ss of Celestil ody ny two prticles in the universe ttrct ech other with force tht is directly proportionl to the product

More information

PHYS Summer Professor Caillault Homework Solutions. Chapter 2

PHYS Summer Professor Caillault Homework Solutions. Chapter 2 PHYS 1111 - Summer 2007 - Professor Cillult Homework Solutions Chpter 2 5. Picture the Problem: The runner moves long the ovl trck. Strtegy: The distnce is the totl length of trvel, nd the displcement

More information

Recitation 3: More Applications of the Derivative

Recitation 3: More Applications of the Derivative Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. Description

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

interatomic distance

interatomic distance Dissocition energy of Iodine molecule using constnt devition spectrometer Tbish Qureshi September 2003 Aim: To verify the Hrtmnn Dispersion Formul nd to determine the dissocition energy of I 2 molecule

More information

Math 124A October 04, 2011

Math 124A October 04, 2011 Mth 4A October 04, 0 Viktor Grigoryn 4 Vibrtions nd het flow In this lecture we will derive the wve nd het equtions from physicl principles. These re second order constnt coefficient liner PEs, which model

More information

Vorticity. curvature: shear: fluid elements moving in a straight line but at different speeds. t 1 t 2. ATM60, Shu-Hua Chen

Vorticity. curvature: shear: fluid elements moving in a straight line but at different speeds. t 1 t 2. ATM60, Shu-Hua Chen Vorticity We hve previously discussed the ngulr velocity s mesure of rottion of body. This is suitble quntity for body tht retins its shpe but fluid cn distort nd we must consider two components to rottion:

More information

CAPACITORS AND DIELECTRICS

CAPACITORS AND DIELECTRICS Importnt Definitions nd Units Cpcitnce: CAPACITORS AND DIELECTRICS The property of system of electricl conductors nd insultors which enbles it to store electric chrge when potentil difference exists between

More information

CHM Physical Chemistry I Chapter 1 - Supplementary Material

CHM Physical Chemistry I Chapter 1 - Supplementary Material CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion

More information

13: Diffusion in 2 Energy Groups

13: Diffusion in 2 Energy Groups 3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups

More information

Conducting Ellipsoid and Circular Disk

Conducting Ellipsoid and Circular Disk 1 Problem Conducting Ellipsoid nd Circulr Disk Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 (September 1, 00) Show tht the surfce chrge density σ on conducting ellipsoid,

More information

Review of basic calculus

Review of basic calculus Review of bsic clculus This brief review reclls some of the most importnt concepts, definitions, nd theorems from bsic clculus. It is not intended to tech bsic clculus from scrtch. If ny of the items below

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry

LECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry LECTURE 14 Dr. Teres D. Golden University of North Texs Deprtment of Chemistry Quntittive Methods A. Quntittive Phse Anlysis Qulittive D phses by comprison with stndrd ptterns. Estimte of proportions of

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

13.4 Work done by Constant Forces

13.4 Work done by Constant Forces 13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

APPROXIMATE INTEGRATION

APPROXIMATE INTEGRATION APPROXIMATE INTEGRATION. Introduction We hve seen tht there re functions whose nti-derivtives cnnot be expressed in closed form. For these resons ny definite integrl involving these integrnds cnnot be

More information

200 points 5 Problems on 4 Pages and 20 Multiple Choice/Short Answer Questions on 5 pages 1 hour, 48 minutes

200 points 5 Problems on 4 Pages and 20 Multiple Choice/Short Answer Questions on 5 pages 1 hour, 48 minutes PHYSICS 132 Smple Finl 200 points 5 Problems on 4 Pges nd 20 Multiple Choice/Short Answer Questions on 5 pges 1 hour, 48 minutes Student Nme: Recittion Instructor (circle one): nme1 nme2 nme3 nme4 Write

More information

Simulation of Eclipsing Binary Star Systems. Abstract

Simulation of Eclipsing Binary Star Systems. Abstract Simultion of Eclipsing Binry Str Systems Boris Yim 1, Kenny Chn 1, Rphel Hui 1 Wh Yn College Kowloon Diocesn Boys School Abstrct This report briefly introduces the informtion on eclipsing binry str systems.

More information

Light and Optics Propagation of light Electromagnetic waves (light) in vacuum and matter Reflection and refraction of light Huygens principle

Light and Optics Propagation of light Electromagnetic waves (light) in vacuum and matter Reflection and refraction of light Huygens principle Light nd Optics Propgtion of light Electromgnetic wves (light) in vcuum nd mtter Reflection nd refrction of light Huygens principle Polristion of light Geometric optics Plne nd curved mirrors Thin lenses

More information

Heat flux and total heat

Heat flux and total heat Het flux nd totl het John McCun Mrch 14, 2017 1 Introduction Yesterdy (if I remember correctly) Ms. Prsd sked me question bout the condition of insulted boundry for the 1D het eqution, nd (bsed on glnce

More information

Name Solutions to Test 3 November 8, 2017

Name Solutions to Test 3 November 8, 2017 Nme Solutions to Test 3 November 8, 07 This test consists of three prts. Plese note tht in prts II nd III, you cn skip one question of those offered. Some possibly useful formuls cn be found below. Brrier

More information

fractions Let s Learn to

fractions Let s Learn to 5 simple lgebric frctions corne lens pupil retin Norml vision light focused on the retin concve lens Shortsightedness (myopi) light focused in front of the retin Corrected myopi light focused on the retin

More information

The Wave Equation I. MA 436 Kurt Bryan

The Wave Equation I. MA 436 Kurt Bryan 1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string

More information

Kepler's Three LAWS. Universal Gravitation Chapter 12. Heliocentric Model. Geocentric Model. Other Models. Johannes Kepler

Kepler's Three LAWS. Universal Gravitation Chapter 12. Heliocentric Model. Geocentric Model. Other Models. Johannes Kepler Universl Grvittion Chpter 1 Johnnes Kepler Johnnes Kepler ws Germn mthemticin, stronomer nd strologer, nd key figure in the 17th century Scientific revolution. He is best known for his lws of plnetry motion,

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

Section 6: Area, Volume, and Average Value

Section 6: Area, Volume, and Average Value Chpter The Integrl Applied Clculus Section 6: Are, Volume, nd Averge Vlue Are We hve lredy used integrls to find the re etween the grph of function nd the horizontl xis. Integrls cn lso e used to find

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

Vadose Zone Hydrology

Vadose Zone Hydrology Objectives Vdose Zone Hydrology 1. Review bsic concepts nd terminology of soil physics. 2. Understnd the role of wter-tble dynmics in GW-SW interction. Drcy s lw is useful in region A. Some knowledge of

More information

Applications of Bernoulli s theorem. Lecture - 7

Applications of Bernoulli s theorem. Lecture - 7 Applictions of Bernoulli s theorem Lecture - 7 Prcticl Applictions of Bernoulli s Theorem The Bernoulli eqution cn be pplied to gret mny situtions not just the pipe flow we hve been considering up to now.

More information

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

Math 113 Exam 1-Review

Math 113 Exam 1-Review Mth 113 Exm 1-Review September 26, 2016 Exm 1 covers 6.1-7.3 in the textbook. It is dvisble to lso review the mteril from 5.3 nd 5.5 s this will be helpful in solving some of the problems. 6.1 Are Between

More information

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique? XII. LINEAR ALGEBRA: SOLVING SYSTEMS OF EQUATIONS Tody we re going to tlk bout solving systems of liner equtions. These re problems tht give couple of equtions with couple of unknowns, like: 6 2 3 7 4

More information

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

INTRODUCTION. The three general approaches to the solution of kinetics problems are: INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

Scientific notation is a way of expressing really big numbers or really small numbers.

Scientific notation is a way of expressing really big numbers or really small numbers. Scientific Nottion (Stndrd form) Scientific nottion is wy of expressing relly big numbers or relly smll numbers. It is most often used in scientific clcultions where the nlysis must be very precise. Scientific

More information

1B40 Practical Skills

1B40 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 information

Fundamentals of Analytical Chemistry

Fundamentals of Analytical Chemistry Homework Fundmentls of nlyticl hemistry hpter 9 0, 1, 5, 7, 9 cids, Bses, nd hpter 9(b) Definitions cid Releses H ions in wter (rrhenius) Proton donor (Bronsted( Lowry) Electron-pir cceptor (Lewis) hrcteristic

More information

ragsdale (zdr82) HW2 ditmire (58335) 1

ragsdale (zdr82) HW2 ditmire (58335) 1 rgsdle (zdr82) HW2 ditmire (58335) This print-out should hve 22 questions. Multiple-choice questions my continue on the next column or pge find ll choices before nswering. 00 0.0 points A chrge of 8. µc

More information

Phys 7221, Fall 2006: Homework # 6

Phys 7221, Fall 2006: Homework # 6 Phys 7221, Fll 2006: Homework # 6 Gbriel González October 29, 2006 Problem 3-7 In the lbortory system, the scttering ngle of the incident prticle is ϑ, nd tht of the initilly sttionry trget prticle, which

More information

The heat budget of the atmosphere and the greenhouse effect

The heat budget of the atmosphere and the greenhouse effect The het budget of the tmosphere nd the greenhouse effect 1. Solr rdition 1.1 Solr constnt The rdition coming from the sun is clled solr rdition (shortwve rdition). Most of the solr rdition is visible light

More information

The Moving Center of Mass of a Leaking Bob

The Moving Center of Mass of a Leaking Bob The Moving Center of Mss of Leking Bob rxiv:1002.956v1 [physics.pop-ph] 21 Feb 2010 P. Arun Deprtment of Electronics, S.G.T.B. Khls College University of Delhi, Delhi 110 007, Indi. Februry 2, 2010 Abstrct

More information

Supplementary Information for Directional Reflective Surface Formed via Gradient- Impeding Acoustic Meta-surfaces

Supplementary Information for Directional Reflective Surface Formed via Gradient- Impeding Acoustic Meta-surfaces Supplementry Informtion for Directionl Reflective Surfce Formed vi Grdient- Impeding Acoustic Met-surfces Kyungjun Song 1*, Jedo Kim 2, Hur Shin 1, Jun-Hyuk Kwk 1, Seong-Hyun Lee 3,Tesung Kim 4 1 Deprtment

More information

ESCI 343 Atmospheric Dynamics II Lesson 14 Inertial/slantwise Instability

ESCI 343 Atmospheric Dynamics II Lesson 14 Inertial/slantwise Instability ESCI 343 Atmospheric Dynmics II Lesson 14 Inertil/slntwise Instbility Reference: An Introduction to Dynmic Meteorology (3 rd edition), J.R. Holton Atmosphere-Ocen Dynmics, A.E. Gill Mesoscle Meteorology

More information

Purpose of the experiment

Purpose of the experiment Newton s Lws II PES 6 Advnced Physics Lb I Purpose of the experiment Exmine two cses using Newton s Lws. Sttic ( = 0) Dynmic ( 0) fyi fyi Did you know tht the longest recorded flight of chicken is thirteen

More information

dt. However, we might also be curious about dy

dt. However, we might also be curious about dy Section 0. The Clculus of Prmetric Curves Even though curve defined prmetricly my not be function, we cn still consider concepts such s rtes of chnge. However, the concepts will need specil tretment. For

More information

Consequently, the temperature must be the same at each point in the cross section at x. Let:

Consequently, the temperature must be the same at each point in the cross section at x. Let: HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the

More information

Lecture 1. Functional series. Pointwise and uniform convergence.

Lecture 1. Functional series. Pointwise and uniform convergence. 1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is

More information

1 Module for Year 10 Secondary School Student Logarithm

1 Module for Year 10 Secondary School Student Logarithm 1 Erthquke Intensity Mesurement (The Richter Scle) Dr Chrles Richter showed tht the lrger the energy of n erthquke hs, the lrger mplitude of ground motion t given distnce. The simple model of Richter

More information

Intro to Nuclear and Particle Physics (5110)

Intro to Nuclear and Particle Physics (5110) Intro to Nucler nd Prticle Physics (5110) Feb, 009 The Nucler Mss Spectrum The Liquid Drop Model //009 1 E(MeV) n n(n-1)/ E/[ n(n-1)/] (MeV/pir) 1 C 16 O 0 Ne 4 Mg 7.7 14.44 19.17 8.48 4 5 6 6 10 15.4.41

More information

Lecture 13 - Linking E, ϕ, and ρ

Lecture 13 - Linking E, ϕ, and ρ Lecture 13 - Linking E, ϕ, nd ρ A Puzzle... Inner-Surfce Chrge Density A positive point chrge q is locted off-center inside neutrl conducting sphericl shell. We know from Guss s lw tht the totl chrge on

More information

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s 4. Cosmic Dynmics: The Friedmnn Eqution Reding: Chpter 4 Newtonin Derivtion of the Friedmnn Eqution Consider n isolted sphere of rdius R s nd mss M s, in uniform, isotropic expnsion (Hubble flow). The

More information

Synoptic Meteorology I: Finite Differences September Partial Derivatives (or, Why Do We Care About Finite Differences?

Synoptic Meteorology I: Finite Differences September Partial Derivatives (or, Why Do We Care About Finite Differences? Synoptic Meteorology I: Finite Differences 16-18 September 2014 Prtil Derivtives (or, Why Do We Cre About Finite Differences?) With the exception of the idel gs lw, the equtions tht govern the evolution

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

Markscheme May 2016 Mathematics Standard level Paper 1

Markscheme May 2016 Mathematics Standard level Paper 1 M6/5/MATME/SP/ENG/TZ/XX/M Mrkscheme My 06 Mthemtics Stndrd level Pper 7 pges M6/5/MATME/SP/ENG/TZ/XX/M This mrkscheme is the property of the Interntionl Bcclurete nd must not be reproduced or distributed

More information

Main topics for the Second Midterm

Main topics for the Second Midterm Min topics for the Second Midterm The Midterm will cover Sections 5.4-5.9, Sections 6.1-6.3, nd Sections 7.1-7.7 (essentilly ll of the mteril covered in clss from the First Midterm). Be sure to know the

More information

Line Integrals. Partitioning the Curve. Estimating the Mass

Line Integrals. Partitioning the Curve. Estimating the Mass Line Integrls Suppose we hve curve in the xy plne nd ssocite density δ(p ) = δ(x, y) t ech point on the curve. urves, of course, do not hve density or mss, but it my sometimes be convenient or useful to

More information

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS

ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS F. Tkeo 1 nd M. Sk 1 Hchinohe Ntionl College of Technology, Hchinohe, Jpn; Tohoku University, Sendi, Jpn Abstrct:

More information

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40 Mth B Prof. Audrey Terrs HW # Solutions by Alex Eustis Due Tuesdy, Oct. 9 Section 5. #7,, 6,, 5; Section 5. #8, 9, 5,, 7, 3; Section 5.3 #4, 6, 9, 3, 6, 8, 3; Section 5.4 #7, 8,, 3, 5, 9, 4 5..7 Since

More information

Acceptance Sampling by Attributes

Acceptance Sampling by Attributes Introduction Acceptnce Smpling by Attributes Acceptnce smpling is concerned with inspection nd decision mking regrding products. Three spects of smpling re importnt: o Involves rndom smpling of n entire

More information

Atmospheric Radiation Fall 2008

Atmospheric Radiation Fall 2008 MIT OpenCourseWre http://ocw.mit.edu.85 Atmospheric Rdition Fll 008 For informtion bout citing these mterils or our Terms of Use, visit: http://ocw.mit.edu/terms. .85, Atmospheric Rdition Dr. Robert A.

More information

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses

More information

Part I: Basic Concepts of Thermodynamics

Part I: Basic Concepts of Thermodynamics Prt I: Bsic Concepts o Thermodynmics Lecture 4: Kinetic Theory o Gses Kinetic Theory or rel gses 4-1 Kinetic Theory or rel gses Recll tht or rel gses: (i The volume occupied by the molecules under ordinry

More information

Physics 1402: Lecture 7 Today s Agenda

Physics 1402: Lecture 7 Today s Agenda 1 Physics 1402: Lecture 7 Tody s gend nnouncements: Lectures posted on: www.phys.uconn.edu/~rcote/ HW ssignments, solutions etc. Homework #2: On Msterphysics tody: due Fridy Go to msteringphysics.com Ls:

More information

First midterm topics Second midterm topics End of quarter topics. Math 3B Review. Steve. 18 March 2009

First midterm topics Second midterm topics End of quarter topics. Math 3B Review. Steve. 18 March 2009 Mth 3B Review Steve 18 Mrch 2009 About the finl Fridy Mrch 20, 3pm-6pm, Lkretz 110 No notes, no book, no clcultor Ten questions Five review questions (Chpters 6,7,8) Five new questions (Chpters 9,10) No

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Physics 9 Fall 2011 Homework 2 - Solutions Friday September 2, 2011

Physics 9 Fall 2011 Homework 2 - Solutions Friday September 2, 2011 Physics 9 Fll 0 Homework - s Fridy September, 0 Mke sure your nme is on your homework, nd plese box your finl nswer. Becuse we will be giving prtil credit, be sure to ttempt ll the problems, even if you

More information

CHEMICAL KINETICS

CHEMICAL KINETICS CHEMICAL KINETICS Long Answer Questions: 1. Explin the following terms with suitble exmples ) Averge rte of Rection b) Slow nd Fst Rections c) Order of Rection d) Moleculrity of Rection e) Activtion Energy

More information

2.57/2.570 Midterm Exam No. 1 March 31, :00 am -12:30 pm

2.57/2.570 Midterm Exam No. 1 March 31, :00 am -12:30 pm 2.57/2.570 Midterm Exm No. 1 Mrch 31, 2010 11:00 m -12:30 pm Instructions: (1) 2.57 students: try ll problems (2) 2.570 students: Problem 1 plus one of two long problems. You cn lso do both long problems,

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

Physics 2135 Exam 3 April 21, 2015

Physics 2135 Exam 3 April 21, 2015 Em Totl hysics 2135 Em 3 April 21, 2015 Key rinted Nme: 200 / 200 N/A Rec. Sec. Letter: Five multiple choice questions, 8 points ech. Choose the best or most nerly correct nswer. 1. C Two long stright

More information

PART 1 MULTIPLE CHOICE Circle the appropriate response to each of the questions below. Each question has a value of 1 point.

PART 1 MULTIPLE CHOICE Circle the appropriate response to each of the questions below. Each question has a value of 1 point. PART MULTIPLE CHOICE Circle the pproprite response to ech of the questions below. Ech question hs vlue of point.. If in sequence the second level difference is constnt, thn the sequence is:. rithmetic

More information

Chapter 1: Fundamentals

Chapter 1: Fundamentals Chpter 1: Fundmentls 1.1 Rel Numbers Types of Rel Numbers: Nturl Numbers: {1, 2, 3,...}; These re the counting numbers. Integers: {... 3, 2, 1, 0, 1, 2, 3,...}; These re ll the nturl numbers, their negtives,

More information

( ) ( ) Chapter 5 Diffraction condition. ρ j

( ) ( ) Chapter 5 Diffraction condition. ρ j Grdute School of Engineering Ngo Institute of Technolog Crstl Structure Anlsis Tkshi Id (Advnced Cermics Reserch Center) Updted Nov. 3 3 Chpter 5 Diffrction condition In Chp. 4 it hs been shown tht the

More information

Design Data 1M. Highway Live Loads on Concrete Pipe

Design Data 1M. Highway Live Loads on Concrete Pipe Design Dt 1M Highwy Live Lods on Concrete Pipe Foreword Thick, high-strength pvements designed for hevy truck trffic substntilly reduce the pressure trnsmitted through wheel to the subgrde nd consequently,

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

Electron Correlation Methods

Electron Correlation Methods Electron Correltion Methods HF method: electron-electron interction is replced by n verge interction E HF c E 0 E HF E 0 exct ground stte energy E HF HF energy for given bsis set HF Ec 0 - represents mesure

More information

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION XX IMEKO World Congress Metrology for Green Growth September 9,, Busn, Republic of Kore THERMAL EXPANSION COEFFICIENT OF WATER FOR OLUMETRIC CALIBRATION Nieves Medin Hed of Mss Division, CEM, Spin, mnmedin@mityc.es

More information

Practive Derivations for MT 1 GSI: Goni Halevi SOLUTIONS

Practive Derivations for MT 1 GSI: Goni Halevi SOLUTIONS Prctive Derivtions for MT GSI: Goni Hlevi SOLUTIONS Note: These solutions re perhps excessively detiled, but I wnted to ddress nd explin every step nd every pproximtion in cse you forgot where some of

More information

Special Relativity solved examples using an Electrical Analog Circuit

Special Relativity solved examples using an Electrical Analog Circuit 1-1-15 Specil Reltivity solved exmples using n Electricl Anlog Circuit Mourici Shchter mourici@gmil.com mourici@wll.co.il ISRAE, HOON 54-54855 Introduction In this pper, I develop simple nlog electricl

More information

Thermal Diffusivity. Paul Hughes. Department of Physics and Astronomy The University of Manchester Manchester M13 9PL. Second Year Laboratory Report

Thermal Diffusivity. Paul Hughes. Department of Physics and Astronomy The University of Manchester Manchester M13 9PL. Second Year Laboratory Report Therml iffusivity Pul Hughes eprtment of Physics nd Astronomy The University of nchester nchester 3 9PL Second Yer Lbortory Report Nov 4 Abstrct We investigted the therml diffusivity of cylindricl block

More information

2. VECTORS AND MATRICES IN 3 DIMENSIONS

2. VECTORS AND MATRICES IN 3 DIMENSIONS 2 VECTORS AND MATRICES IN 3 DIMENSIONS 21 Extending the Theory of 2-dimensionl Vectors x A point in 3-dimensionl spce cn e represented y column vector of the form y z z-xis y-xis z x y x-xis Most of the

More information

Sample Problems for the Final of Math 121, Fall, 2005

Sample Problems for the Final of Math 121, Fall, 2005 Smple Problems for the Finl of Mth, Fll, 5 The following is collection of vrious types of smple problems covering sections.8,.,.5, nd.8 6.5 of the text which constitute only prt of the common Mth Finl.

More information

(See Notes on Spontaneous Emission)

(See Notes on Spontaneous Emission) ECE 240 for Cvity from ECE 240 (See Notes on ) Quntum Rdition in ECE 240 Lsers - Fll 2017 Lecture 11 1 Free Spce ECE 240 for Cvity from Quntum Rdition in The electromgnetic mode density in free spce is

More information

INTERACTION BETWEEN THE NUCLEONS IN THE ATOMIC NUCLEUS. By Nesho Kolev Neshev

INTERACTION BETWEEN THE NUCLEONS IN THE ATOMIC NUCLEUS. By Nesho Kolev Neshev INTERACTION BETWEEN THE NUCLEONS IN THE ATOMIC NUCLEUS By Nesho Kolev Neshev It is known tht between the nucleons in the tomic nucleus there re forces with fr greter mgnitude in comprison to the electrosttic

More information

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors Vectors Skill Achieved? Know tht sclr is quntity tht hs only size (no direction) Identify rel-life exmples of sclrs such s, temperture, mss, distnce, time, speed, energy nd electric chrge Know tht vector

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: How to identify the leding coefficients nd degrees of polynomils How to dd nd subtrct polynomils How to multiply polynomils

More information

1 Probability Density Functions

1 Probability Density Functions Lis Yn CS 9 Continuous Distributions Lecture Notes #9 July 6, 28 Bsed on chpter by Chris Piech So fr, ll rndom vribles we hve seen hve been discrete. In ll the cses we hve seen in CS 9, this ment tht our

More information