Physics 100A Homework 8 Chapter 9

Size: px
Start display at page:

Download "Physics 100A Homework 8 Chapter 9"

Transcription

1 Physcs 00A Hoework 8 Chater Two ar-track carts oe toward one another on an ar track. Cart has a ass o 0.35 kg and a seed o. /s. Cart has a ass o 0.6 kg. A)What seed ust cart hae the total oentu o the syste s to be zero? B)Snce the oentu o the syste s zero, does t ollow that the knetc energy o the syste s also zero? 4. Pcture the Proble: The two carts aroach each other on a rctonless track at derent seeds. Strategy: Add the oenta o the two carts and set t equal to zero. Sole the resultng exresson or. Then use equaton 7-6 to nd the total knetc energy o the two-cart syste. Let cart trael n the oste drecton. Soluton:. (a) Set 0 and sole or : + 0 Ths s a one-densonal roble so the arrow s ( 0.35 kg)(. /s ) 0.69 /s droed but the drecton s taken nto consderaton a 0.6 kg the lus/nus sgn. The absolute o the quantty s used to calculate the seed, whch s a scalar.. (b) No, knetc energy s always greater than or equal to zero. 3. (c) Use equaton 7-6 to su the knetc K + energes o the two carts: 0.35 kg. /s kg 0.69 /s 0.40 J Insght: I cart s traelng n the oste x drecton, then ts oentu s cart s ( 0.4 kg /s)ˆ x. ( )( ) ( )( ) ˆ ( ) ˆ 0.4 kg /s x and the oentu o 9.7 Object has a ass and a elocty.0 /s xˆ. Object has a ass and a elocty ˆ 3.50 /s y. The total oentu o these two objects has a agntude o 7.6 kg /s and onts n a drecton 66.5 aboe the oste x axs. 7. Pcture the Proble: The nddual oenta and nal oentu ectors are dected at rght. Strategy: The oenta o the two objects are erendcular. Because o ths we can say that the oentu o object s equal to the x-coonent o the total oentu and the oentu o object s equal to the y-coonent o the total oentu. Fnd the oenta o objects and n ths anner and dde by ther seeds to deterne the asses. Soluton:. Fnd total, x and dde by : total, x total θ ( )( ) cos 7.6 kg /s cos kg / 7.0 kg /s.80 /s.5 kg y x total. Fnd total, y and dde by : total, y total 3.0 /s ( )( ) snθ 7.6 kg /s sn kg /s 6. kg /s 5. kg Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9

2 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton Insght: Note that object has the larger oentu because the total oentu onts ostly n the ŷ drecton. The two objects hae slar seeds, so object ust hae the larger ass n order to hae the larger oentu. Iulse on a Ball In a baseball gae the batter swngs and gets a good sold ht. Hs swng ales a orce o,000 N to the ball or a te o s. A) Assung that ths orce s constant, what s the agntude J o the ulse on the ball? 3 J FΔ t (,000)(0.7 0 ) 8.4 kg /s B) The net orce ersus te grah has a rectangular shae. Oten n hyscs geoetrc roertes o grahs hae hyscal eanng. For ths grahs the area o the rectangle corresonds to the ulse. C) I both the grah reresentng the constant net orce and the grah reresentng the arable net orce reresent the sae ulse actng on the baseball, the two grahs ust hae the sae area. D) Assue that a tcher throws a baseball so that t traels n a straght lne arallel to the ground. The batter then hts the ball so t goes drectly back to the tcher along the sae straght lne. Dene the drecton the tcher orgnally throws the ball as the +x drecton. The ulse on the ball caused by the bat wll be n the negate x-drecton. J J ( ˆ) ˆ ball x ballx J ( + ) x ˆ ball E) Now assue that the tcher n Part D throws a 0.45-kg baseball arallel to the ground wth a seed o 3 /s n the +x drecton. The batter then hts the ball so t goes drectly back to the tcher along the sae straght lne. What s the ball's elocty just ater leang the bat the bat ales an ulse o -8.4 Ns to the baseball? J ball J ( 84) ball /s (to the let) Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9

3 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton Knetc Energy and Moentu The two toy cars shown n the gure, wth asses as gen n the gure, are ready to race. Both cars begn ro rest. For each queston, state whether the correct answer s car A, car B, or whether the two cars hae equal alues or the araeter n queston. For the next three arts assue that the cars' otors suly the sae orce to each car oer the course o a.0- eter race. A)Whch car crosses the nsh lne.0 away rst? Car B wns. 0 or both cars ntal F a Then. Snce the orce s the sae the car wth the sallest ass wll hae the larger acceleraton and wll coer the.0 dstance aster. B) Whch car has the larger knetc energy when t crosses the nsh lne.0 away? The sae. W Fd Δ K K - K K Snce the orce and dslaceent are the sae the cars wll nal ntal nal hae the sae nal knetc energy. C) Whch car has a larger oentu when t crosses the nsh lne.0 away? Fro the knetc energy ( W) / nal And W Snce the work s the sae the car wth the largest ass wll hae the nal nal larger oentu. D) Whch car has traeled arther ater 0s? Car B wth the larger acceleraton. E) Ater 0 s whch car has a larger knetc energy? Car B would hae traelled the largest dstance and thereore exerenced the largest work whch corresonds to a hgher nal knetc energy. F) Ater 0 s whch car has a larger oentu? $_{nal} F \Delta t$ I the orce and the te are the sae, the nal oentu s the sae or both. 9.9) A 0.4-kg baseball oes toward hoe late wth a elocty ( 36/s) ˆ x Ater strkng the bat, the ball oes ertcally uward wth a elocty (8 /s ) yˆ. A) Fnd the drecton o the ulse delered to the ball by the bat. Assue that the ball and bat are n contact or.5s. Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 3

4 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton B)Fnd the agntude o the ulse delered to the ball by the bat. Assue that the ball and bat are n contact or.5s. 9. Pcture the Proble: The ball rebounds ro the bat n the anner ndcated by the gure at rght. Strategy: The ulse s equal to the ector change n the oentu. Analyze the x and y coonents o Δ searately, then use the coonents to nd the drecton and agntude o I. Soluton:. (a) Fnd Δ : ( ) ( ) ( ) x Δ x x x 0.4 kg 0 36 /s 5.0 kg /s. Fnd y : Δ ( ) ( )( ) 3. Use equaton 9-6 to nd I: Δ y y y 0.4 kg 8 0 /s.5 kg /s I Δ x+ ( 5.0 kg /s) ˆ (.5 kg /s) I y.5 4. Fnd the drecton o I: θ tan tan 7 aboe the horzontal I x Fnd the agntude o I: x y yˆ ( ) ( ) I I + I 5.0 kg /s +.5 kg /s 5.6 kg /s 6. (b) I the ass o the ball were doubled the ulse would double n agntude. There would be no change n the drecton. 7. (c) I Δ o the ball s unchanged, the ulse delered to the ball would not change, regardless o the ass o the bat. Insght: The ulse brngs the ball to rest horzontally but ges t an ntal horzontal seed. Very or yoursel that ths ball wll trael straght uward 6.5 (54 eet) beore allng back to Earth. An easy ou! Moentu n an Exloson A gant "egg" exlodes as art o a reworks dslay. The egg s at rest beore the exloson, and ater the exloson, t breaks nto two eces, wth the asses ndcated n the dagra, traelng n ooste drectons A)What s the oentu A, o ece A beore the exloson? Snce the egg s ntally at rest the ntal oentu s zero or both eces. B) Durng the exloson, s the orce o ece A on ece B greater than, less than, or equal to the orce o ece B on ece A? By Newton s thrd law the orce o A on B has the sae agntude but ooste drecton to the orce o B on A. C)The oentu o ece B s easured to be 500 kg /s ater the exloson. Fnd the oentu A, o ece A ater the exloson. + A, B, 500 kg /s. total, total, 0 A, B, 0 Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 4

5 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton Catchng a Ball on Ice Ola s standng on a sheet o ce that coers the ootball stadu arkng lot n Bualo, New York; there s neglgble rcton between hs eet and the ce. A rend throws Ola a ball o ass kg that s traelng horzontally at.8 /s. Ola's ass s 70.6 kg. A)I Ola catches the ball, wth what seed do Ola and the ball oe aterward? O, + b, ( O + b) b, Stck together b b, (0.4)(.8) 6.65 ( + ) ( ) c/s O b B) the ball hts Ola and bounces o hs chest horzontally at 7.0 /s the ooste drecton, what s hs seed ater the collson? O, + b, O, + b, O, b, b, b( b, b, ) b 0.4 O, ( b, b, ) (.8 ( 7.)) 0.7 c/s, n the orgnal drecton o the ball 70.6 O 9.) Two grous o canoests eet n the ddle o a lake. Ater a bre st, a erson n canoe ushes on canoe to searate the canoes. Suose the seeds o the two canoes ater they are ushed aart are 0.58 /s or canoe and 0.4 /s or canoe. I the ass o canoe s 30 kg, what s the ass o canoe?. Pcture the Proble: The two canoes are ushed aart by the orce exerted by a assenger. Strategy: By alyng the conseraton o oentu we conclude that the total oentu o the two canoes ater the ush s zero, just as t was beore the ush. Set the total oentu o the syste to zero and sole or. Let the elocty ont n the negate drecton, n the oste drecton. Soluton: Set total 0 and sole or : x x x x ( 30 kg)( 0.58 /s) x x 0.4 /s 440 kg Insght: An alternate way to nd the ass s to use the equatons o kneatcs n a anner slar to that descrbed n Exale 9-3. Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 5

6 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton 9.5) A 9-kg astronaut and a 00-kg satellte are at rest relate to the sace shuttle. The astronaut ushes on the satellte, gng t a seed o 0.4 /s drectly away ro the shuttle. Seen-and-a-hal seconds later the astronaut coes nto contact wth the shuttle. What was the ntal dstance ro the shuttle to the astronaut? 5. Pcture the Proble: The astronaut and the satellte oe n ooste drectons ater the astronaut ushes o. The astronaut traels at constant seed a dstance d beore cong n contact wth the sace shuttle. Strategy: As long as there s no rcton the total oentu o the astronaut and the satellte ust rean zero, as t was beore the astronaut ushed o. Use the conseraton o oentu to deterne the seed o the astronaut, and then ultly the seed by the te to nd the dstance. Assue the satellte s oton s n the negate x-drecton. Soluton:. Fnd the seed o the astronaut usng conseraton o oentu:. Fnd the dstance to the sace shuttle: a + s 0 aa + ss s s a s s d at t a a ( 00 kg)( 0.4 /s) ( ) ( 9 kg) 7.5 s 4 Insght: One o the trcky thngs about sacewalkng s that wheneer you ush on a satellte or anythng else, because o Newton s Thrd Law you yoursel get ushed! Conseraton o oentu akes t easy to redct your seed. A Grl n a Traolne h.0 5 A grl o ass klogras srngs ro a traolne wth an ntal uward elocty o eters er second. At heght eters aboe the traolne, the grl grabs a box o ass klogras. A) What s the seed beore o the grl edately beore she grabs the box? Here we use kneatcs. gy beore beore (80) (98)() 4.98 /s B) What s the seed $_{ater}$ o the grl edately ater she grabs the box? Now we use conseraton o oentu. bb, + gg, beore, ( g + b) ater, b, 0 g g, beore (60)(498) ater 3.98 ( + ) (60+ 5) /s g b C) Ths "collson" s nelastc. D) What s the axu heght that the grl (wth box) reaches? Measure wth resect to the to o the h ax traolne. Let us start at the leel n whch the grl grabs the box and then add the addtonal heght. gy, the nal elocty s zero as the grl and box reach the axu heght. (398) y ater 0.8 g g (98) h And ax h ax Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 6

7 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton A One-Densonal Inelastc Collson Block, o ass 8.70 kg, oes along a rctonless ar track wth seed 5.0 /s. It colldes wth block, o ass 3.0 kg, whch was ntally at rest. The blocks stck together ater the collson. A) Fnd the agntude o the total ntal oentu o the two-block syste., +, (87)(5) Kg /s B) Fnd, the agntude o the nal elocty o the two-block syste. 3 total 4. /s total ( ) C) What s the change Δ K K K n the syste's knetc energy due to the collson? Δ K total Δ K ( )(4.) (8.7)(5) 0 70 J 9.8) A cart o ass oes wth a seed on a rctonless ar track and colldes wth an dentcal cart that s statonary. I the two carts stck together ater the collson, what s the nal knetc energy o the syste? total ( + ) ( ) 0.5 total K 8. Pcture the Proble: The two carts collde on a rctonless track and stck together. Strategy: The collson s coletely nelastc because the two carts stck together. Moentu s consered durng the collson because the track has no rcton. The two carts oe as they were a sngle object ater the collson. Use the conseraton o oentu to nd the nal seed o the carts and nal knetc energy o the syste. Soluton:. Consere oentu to nd the nal seed o the carts: + (0). Use equaton 7-6 to nd the nal knetc energy: ( ) K ( ) 4 Insght: Hal o the ntal knetc energy s gone, hang been conerted to heat, sound, and eranent deoraton o ateral durng the nelastc collson. Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 7

8 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton 9.37) A 73-kg car stoed at an ntersecton s rear-ended by a 70-kg truck ong wth a seed o 5.5 /s. A) I the car was n neutral and ts brakes were o, so that the collson s aroxately elastc, nd the nal seed o the truck. B) Fnd the nal seed o the car. Let us dere the equatons ro the book. Moentu conseraton wth,, 0 and, 0, 0 + Equaton ( ) Equaton, 0, Knetc energy conseraton, +, 0 ( ), 0, ( )( + ) Equaton 3, 0, 0, Substtutng ro equaton nto equaton 3 ( + ),, 0, + Equaton 4, 0, Substtute nto equaton + ( + ),, 0 0 Collectng ters ( + ), ( ) 0 ( ), 0 ( + ) And returnng to equaton 4, 0 ( + ) 37. Pcture the Proble: The truck strkes the car ro behnd. The collson sends the car lurchng orward and slows down the seed o the truck. Strategy: Ths s a one-densonal, elastc collson where one o the objects (the car) s ntally at rest. Thereore, equaton 9- ales and can be used to nd the nal seeds o the ehcles. Let be the ass o the truck, be the ass o the car, and be the ntal seed o the truck. Soluton:. Use equaton 9- to nd :, 0. Use equaton 9- to nd, : kg 5.5 /s 6.5 /s ( ), 0 truck kg ( ) 70 kg ( 5.5 /s).7 /s, 0 car kg Insght: The elastc collson roduces a bgger jolt or the car. I the collson were nstead nelastc and the two ehcles stuck together, the nal seed o the car (and the truck) would be 0.9 /s. Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 8

9 Chater 9: Lnear Moentu and Collsons Jaes S. Walker, Physcs, 4 th Edton 9.4) The three ar carts shown n the gure hae asses, readng ro let to rght, o 4,, and, resectely. The ost asse cart has an ntal seed o equed wth srng buers that ge elastc collsons. 0 ; the other two carts are at rest ntally. All carts are A) Fnd the nal seed o each cart. (Assue the ar track s long enough to accoodate all collsons.) We use the sae equatons as n the last roble: 4. Pcture the Proble: The cart 4 colldes wth the cart, whch s gen knetc energy as a result and later colldes wth the cart. Strategy: In each case a ong cart colldes wth a cart that s at rest, so alcaton o equaton 9- wll yeld the nal eloctes o all the carts. Frst aly equaton 9- to the collson between carts 4 and, then to the collson between and. Let the 4 cart be called cart 4, the cart be called cart, and the cart be called cart : Soluton:. (a) Aly equaton 9- to the rst collson: 4 4 4, 4, ( ) 4 4 4, 4, Aly equaton 9- to the second collson. In ths case cart has an ntal seed o (b) Very that K K by wrtng usng equaton 7-6 and ddng both sdes by 0 : : ( ) ( ) 4 ( ) 4 4,, ,, ? ( 4 ) ( 4)( ) + ( )( ) + ( )( ) Insght: Note that due to the transer o knetc energy a collsons, the cart wth the sallest ass ends u wth the largest seed. 0 Coyrght 00 Pearson Educaton, Inc. All rghts resered. Ths ateral s rotected under all coyrght laws as they currently exst. No orton o ths ateral ay be reroduced, n any or or by any eans, wthout ersson n wrtng ro the ublsher. 9 9

Homework: 49, 56, 67, 60, 64, 74 (p. 234-237)

Homework: 49, 56, 67, 60, 64, 74 (p. 234-237) Hoework: 49, 56, 67, 60, 64, 74 (p. 34-37) 49. bullet o ass 0g strkes a ballstc pendulu o ass kg. The center o ass o the pendulu rses a ertcal dstance o c. ssung that the bullet reans ebedded n the pendulu,

More information

Ch. 9 Center of Mass Momentum. Question 6 Problems: 3, 19, 21, 27, 31, 35, 39, 49, 51, 55, 63, 69, 71, 77

Ch. 9 Center of Mass Momentum. Question 6 Problems: 3, 19, 21, 27, 31, 35, 39, 49, 51, 55, 63, 69, 71, 77 Ch. 9 Center of Mass Moentu Queston 6 Probles: 3, 9,, 7, 3, 35, 39, 49, 5, 55, 63, 69, 7, 77 Center of Mass Use center of ass when no longer dealng wth a pont partcle. The center of ass of a syste of partcles

More information

Physics 110 Spring 2006 2-D Motion Problems: Projectile Motion Their Solutions

Physics 110 Spring 2006 2-D Motion Problems: Projectile Motion Their Solutions Physcs 110 Sprn 006 -D Moton Problems: Projectle Moton Ther Solutons 1. A place-kcker must kck a football from a pont 36 m (about 40 yards) from the oal, and half the crowd hopes the ball wll clear the

More information

University Physics AI No. 11 Kinetic Theory

University Physics AI No. 11 Kinetic Theory Unersty hyscs AI No. 11 Knetc heory Class Number Name I.Choose the Correct Answer 1. Whch type o deal gas wll hae the largest alue or C -C? ( D (A Monatomc (B Datomc (C olyatomc (D he alue wll be the same

More information

CHAPTER 8 Potential Energy and Conservation of Energy

CHAPTER 8 Potential Energy and Conservation of Energy CHAPTER 8 Potental Energy and Conservaton o Energy One orm o energy can be converted nto another orm o energy. Conservatve and non-conservatve orces Physcs 1 Knetc energy: Potental energy: Energy assocated

More information

Experiment 5 Elastic and Inelastic Collisions

Experiment 5 Elastic and Inelastic Collisions PHY191 Experment 5: Elastc and Inelastc Collsons 8/1/014 Page 1 Experment 5 Elastc and Inelastc Collsons Readng: Bauer&Westall: Chapter 7 (and 8, or center o mass deas) as needed 1. Goals 1. Study momentum

More information

Chapter 9. Linear Momentum and Collisions

Chapter 9. Linear Momentum and Collisions Chapter 9 Lnear Momentum and Collsons CHAPTER OUTLINE 9.1 Lnear Momentum and Its Conservaton 9.2 Impulse and Momentum 9.3 Collsons n One Dmenson 9.4 Two-Dmensonal Collsons 9.5 The Center of Mass 9.6 Moton

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

Faraday's Law of Induction

Faraday's Law of Induction Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy

More information

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

Basic Queueing Theory M/M/* Queues. Introduction

Basic Queueing Theory M/M/* Queues. Introduction Basc Queueng Theory M/M/* Queues These sldes are created by Dr. Yh Huang of George Mason Unversty. Students regstered n Dr. Huang's courses at GMU can ake a sngle achne-readable copy and prnt a sngle copy

More information

and that of the outgoing water is mv f

and that of the outgoing water is mv f Week 6 hoework IMPORTANT NOTE ABOUT WEBASSIGN: In the WebAssign ersions of these probles, arious details hae been changed, so that the answers will coe out differently. The ethod to find the solution is

More information

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2016. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng

More information

Lecture 2 The First Law of Thermodynamics (Ch.1)

Lecture 2 The First Law of Thermodynamics (Ch.1) Lecture he Frst Law o hermodynamcs (Ch.) Outlne:. Internal Energy, Work, Heatng. Energy Conservaton the Frst Law 3. Quas-statc processes 4. Enthalpy 5. Heat Capacty Internal Energy he nternal energy o

More information

We assume your students are learning about self-regulation (how to change how alert they feel) through the Alert Program with its three stages:

We assume your students are learning about self-regulation (how to change how alert they feel) through the Alert Program with its three stages: Welcome to ALERT BINGO, a fun-flled and educatonal way to learn the fve ways to change engnes levels (Put somethng n your Mouth, Move, Touch, Look, and Lsten) as descrbed n the How Does Your Engne Run?

More information

21 Vectors: The Cross Product & Torque

21 Vectors: The Cross Product & Torque 21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl

More information

Goals Rotational quantities as vectors. Math: Cross Product. Angular momentum

Goals Rotational quantities as vectors. Math: Cross Product. Angular momentum Physcs 106 Week 5 Torque and Angular Momentum as Vectors SJ 7thEd.: Chap 11.2 to 3 Rotatonal quanttes as vectors Cross product Torque expressed as a vector Angular momentum defned Angular momentum as a

More information

An Electricity Trade Model for Microgrid Communities in Smart Grid

An Electricity Trade Model for Microgrid Communities in Smart Grid An Electrcty Trade Model for Mcrogrd Countes n Sart Grd Tansong Cu, Yanzh Wang, Shahn Nazaran and Massoud Pedra Unversty of Southern Calforna Departent of Electrcal Engneerng Los Angeles, CA, USA {tcu,

More information

The Games of Cournot Sports

The Games of Cournot Sports Appled Mathematcal Scences, Vol. 7, 013, no. 4, 01-09 Managers Compensaton and Colluse Behaour under Cournot Olgopoly Marco A. Marn Department of Computer, Control and Management Engneerng Unerstà d Roma

More information

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0 Chapter 3 Homework Soluton P3.-, 4, 6, 0, 3, 7, P3.3-, 4, 6, P3.4-, 3, 6, 9, P3.5- P3.6-, 4, 9, 4,, 3, 40 ---------------------------------------------------- P 3.- Determne the alues of, 4,, 3, and 6

More information

Rotation Kinematics, Moment of Inertia, and Torque

Rotation Kinematics, Moment of Inertia, and Torque Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

Rotation and Conservation of Angular Momentum

Rotation and Conservation of Angular Momentum Chapter 4. Rotaton and Conservaton of Angular Momentum Notes: Most of the materal n ths chapter s taken from Young and Freedman, Chaps. 9 and 0. 4. Angular Velocty and Acceleraton We have already brefly

More information

Small-Signal Analysis of BJT Differential Pairs

Small-Signal Analysis of BJT Differential Pairs 5/11/011 Dfferental Moe Sall Sgnal Analyss of BJT Dff Par 1/1 SallSgnal Analyss of BJT Dfferental Pars Now lets conser the case where each nput of the fferental par conssts of an entcal D bas ter B, an

More information

Review C: Work and Kinetic Energy

Review C: Work and Kinetic Energy MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department o Physcs 8.2 Revew C: Work and Knetc Energy C. Energy... 2 C.. The Concept o Energy... 2 C..2 Knetc Energy... 3 C.2 Work and Power... 4 C.2. Work Done by

More information

Finite Math Chapter 10: Study Guide and Solution to Problems

Finite Math Chapter 10: Study Guide and Solution to Problems Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount

More information

where the coordinates are related to those in the old frame as follows.

where the coordinates are related to those in the old frame as follows. Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product

More information

Lecture L9 - Linear Impulse and Momentum. Collisions

Lecture L9 - Linear Impulse and Momentum. Collisions J. Peraire, S. Widnall 16.07 Dynaics Fall 009 Version.0 Lecture L9 - Linear Ipulse and Moentu. Collisions In this lecture, we will consider the equations that result fro integrating Newton s second law,

More information

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2) MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total

More information

Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund, No. 1998,04

Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund, No. 1998,04 econstor www.econstor.eu Der Open-Access-Publkatonsserver der ZBW Lebnz-Inforatonszentru Wrtschaft The Open Access Publcaton Server of the ZBW Lebnz Inforaton Centre for Econocs Becka, Mchael Workng Paper

More information

NON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia

NON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia To appear n Journal o Appled Probablty June 2007 O-COSTAT SUM RED-AD-BLACK GAMES WITH BET-DEPEDET WI PROBABILITY FUCTIO LAURA POTIGGIA, Unversty o the Scences n Phladelpha Abstract In ths paper we nvestgate

More information

Tailoring Fuzzy C-Means Clustering Algorithm for Big Data Using Random Sampling and Particle Swarm Optimization

Tailoring Fuzzy C-Means Clustering Algorithm for Big Data Using Random Sampling and Particle Swarm Optimization Internatonal Journal of Database Theory and Alcaton,.191-202 htt://dx.do.org/10.14257/jdta.2015.8.3.16 Talorng Fuzzy -Means lusterng Algorth for Bg Data Usng Rando Salng and Partcle Swar Otzaton Yang Xanfeng

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

A Novel Dynamic Role-Based Access Control Scheme in User Hierarchy

A Novel Dynamic Role-Based Access Control Scheme in User Hierarchy Journal of Coputatonal Inforaton Systes 6:7(200) 2423-2430 Avalable at http://www.jofcs.co A Novel Dynac Role-Based Access Control Schee n User Herarchy Xuxa TIAN, Zhongqn BI, Janpng XU, Dang LIU School

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

v a 1 b 1 i, a 2 b 2 i,..., a n b n i.

v a 1 b 1 i, a 2 b 2 i,..., a n b n i. SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 455 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces we have studed thus far n the text are real vector spaces snce the scalars are

More information

Q3.8: A person trying to throw a ball as far as possible will run forward during the throw. Explain why this increases the distance of the throw.

Q3.8: A person trying to throw a ball as far as possible will run forward during the throw. Explain why this increases the distance of the throw. Problem Set 3 Due: 09/3/, Tuesda Chapter 3: Vectors and Moton n Two Dmensons Questons: 7, 8,, 4, 0 Eercses & Problems:, 7, 8, 33, 37, 44, 46, 65, 73 Q3.7: An athlete performn the lon jump tres to acheve

More information

Shielding Equations and Buildup Factors Explained

Shielding Equations and Buildup Factors Explained Sheldng Equatons and uldup Factors Explaned Gamma Exposure Fluence Rate Equatons For an explanaton of the fluence rate equatons used n the unshelded and shelded calculatons, vst ths US Health Physcs Socety

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Laws of Electromagnetism

Laws of Electromagnetism There are four laws of electromagnetsm: Laws of Electromagnetsm The law of Bot-Savart Ampere's law Force law Faraday's law magnetc feld generated by currents n wres the effect of a current on a loop of

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

Phys101 Lectures 14, 15, 16 Momentum and Collisions

Phys101 Lectures 14, 15, 16 Momentum and Collisions Phs0 Lectures 4, 5, 6 Moentu and ollisions Ke points: Moentu and ipulse ondition for conservation of oentu and wh How to solve collision probles entre of ass Ref: 9-,,3,4,5,6,7,8,9. Page Moentu is a vector:

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

Calculus-Based Physics I by Jeffrey W. Schnick

Calculus-Based Physics I by Jeffrey W. Schnick Chapter Matheatical Prelude Calculus-ased Physics I by Jeffrey W. Schnick cbphysicsia8.doc Copyright 005-008, Jeffrey W. Schnick, Creatie Coons Attribution Share-Alike License 3.0. You can copy, odify,

More information

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt. Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces

More information

How Much to Bet on Video Poker

How Much to Bet on Video Poker How Much to Bet on Vdeo Poker Trstan Barnett A queston that arses whenever a gae s favorable to the player s how uch to wager on each event? Whle conservatve play (or nu bet nzes large fluctuatons, t lacks

More information

Optimal maintenance of a production-inventory system with continuous repair times and idle periods

Optimal maintenance of a production-inventory system with continuous repair times and idle periods Proceedngs o the 3 Internatonal Conerence on Aled Mathematcs and Comutatonal Methods Otmal mantenance o a roducton-nventory system wth contnuous rear tmes and dle erods T. D. Dmtrakos* Deartment o Mathematcs

More information

Answer: Same magnitude total momentum in both situations.

Answer: Same magnitude total momentum in both situations. Page 1 of 9 CTP-1. In which situation is the agnitude of the total oentu the largest? A) Situation I has larger total oentu B) Situation II C) Sae agnitude total oentu in both situations. I: v 2 (rest)

More information

Maximizing profit using recommender systems

Maximizing profit using recommender systems Maxzng proft usng recoender systes Aparna Das Brown Unversty rovdence, RI aparna@cs.brown.edu Clare Matheu Brown Unversty rovdence, RI clare@cs.brown.edu Danel Rcketts Brown Unversty rovdence, RI danel.bore.rcketts@gal.co

More information

THERMAL PROPERTIES OF MATTER 12

THERMAL PROPERTIES OF MATTER 12 HERMAL PROPERIES OF MAER Q.. Reason: he mass o a mole o a substance n grams equals the atomc or molecular mass o the substance. Snce neon has an atomc mass o 0, a mole o neon has a mass o 0 g. Snce N has

More information

An Integrated Semantically Correct 2.5D Object Oriented TIN. Andreas Koch

An Integrated Semantically Correct 2.5D Object Oriented TIN. Andreas Koch An Integrated Semantcally Correct 2.5D Object Orented TIN Andreas Koch Unverstät Hannover Insttut für Photogrammetre und GeoInformaton Contents Introducton Integraton of a DTM and 2D GIS data Semantcs

More information

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant

More information

Safety and Reliability of Distributed Embedded Systems

Safety and Reliability of Distributed Embedded Systems Saety and Relablty o Dstrbuted Embedded Systems Techncal Report ESL 04-01 Smulaton o Vehcle Longtudnal Dynamcs Mchael Short Mchael J. Pont and Qang Huang Embedded Systems Laboratory Unversty o Lecester

More information

Chapter 11 Torque and Angular Momentum

Chapter 11 Torque and Angular Momentum Chapter 11 Torque and Angular Momentum I. Torque II. Angular momentum - Defnton III. Newton s second law n angular form IV. Angular momentum - System of partcles - Rgd body - Conservaton I. Torque - Vector

More information

2. The acceleration of a simple harmonic oscillator is zero whenever the oscillating object is at the equilibrium position.

2. The acceleration of a simple harmonic oscillator is zero whenever the oscillating object is at the equilibrium position. CHAPTER : Vibrations and Waes Answers to Questions The acceleration o a siple haronic oscillator is zero wheneer the oscillating object is at the equilibriu position 5 The iu speed is gien by = A k Various

More information

Gas Deliverability Model with Different Vertical Wells Properties

Gas Deliverability Model with Different Vertical Wells Properties PROC. ITB En. Scence Vol. 35 B, No., 003, 5-38 5 Gas Delverablty Model wth Dfferent Vertcal Wells Proertes L. Mucharam, P. Sukarno, S. Srear,3, Z. Syhab, E. Soewono,3, M. Ar 3 & F. Iral 3 Deartment of

More information

Chapter 22 Heat Engines, Entropy, and the Second Law of Thermodynamics

Chapter 22 Heat Engines, Entropy, and the Second Law of Thermodynamics apter 22 Heat Engnes, Entropy, and te Seond Law o erodynas 1. e Zerot Law o erodynas: equlbru -> te sae 2. e Frst Law o erodynas: de d + d > adabat, sobar, sovoluetr, soteral 22.1 Heat Engnes and te Seond

More information

How To Write A Powerpoint Powerpoint Commandbook For A Data Center

How To Write A Powerpoint Powerpoint Commandbook For A Data Center Internatonal Journal of Innovatve Research n Scence, Engneerng and Technology (An ISO 3297: 2007 ertfed Organzaton) VM Assgnent Algorth Based ost Effectve achng n loud outng Raya.R 1 Assstant Professor,Det

More information

4 Impulse and Impact. Table of contents:

4 Impulse and Impact. Table of contents: 4 Impulse and Impact At the end of this section you should be able to: a. define momentum and impulse b. state principles of conseration of linear momentum c. sole problems inoling change and conseration

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Lecture Topics. 6. Sensors and instrumentation 7. Actuators and power transmission devices. (System and Signal Processing) DR.1 11.12.

Lecture Topics. 6. Sensors and instrumentation 7. Actuators and power transmission devices. (System and Signal Processing) DR.1 11.12. Lecture Tocs 1. Introducton 2. Basc knematcs 3. Pose measurement and Measurement of Robot Accuracy 4. Trajectory lannng and control 5. Forces, moments and Euler s laws 5. Fundamentals n electroncs and

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

Gravitation. Definition of Weight Revisited. Newton s Law of Universal Gravitation. Newton s Law of Universal Gravitation. Gravitational Field

Gravitation. Definition of Weight Revisited. Newton s Law of Universal Gravitation. Newton s Law of Universal Gravitation. Gravitational Field Defnton of Weght evsted Gavtaton The weght of an object on o above the eath s the gavtatonal foce that the eath exets on the object. The weght always ponts towad the cente of mass of the eath. On o above

More information

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo **

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo ** Fuse, Taash A New Technque for Vehcle Tracng on the Assumton of Stratosherc Platforms Taash FUSE * and Ehan SHIMIZU ** * Deartment of Cvl Engneerng, Unversty of Toyo ** Professor, Deartment of Cvl Engneerng,

More information

Chapter 7: Momentum and Impulse

Chapter 7: Momentum and Impulse Chapter 7: Momentum and Impulse 1. When a baseball bat hits the ball, the impulse delivered to the ball is increased by A. follow through on the swing. B. rapidly stopping the bat after impact. C. letting

More information

I = Prt. = P(1+i) n. A = Pe rt

I = Prt. = P(1+i) n. A = Pe rt 11 Chapte 6 Matheatcs of Fnance We wll look at the atheatcs of fnance. 6.1 Sple and Copound Inteest We wll look at two ways nteest calculated on oney. If pncpal pesent value) aount P nvested at nteest

More information

The Subtraction Rule and its Effects on Pricing in the Electricity Industry

The Subtraction Rule and its Effects on Pricing in the Electricity Industry Dscusson Paer No 04- The Subtracton Rule and ts Effects on Prcng n the Electrcty Industry Walter Elberfeld Dscusson Paer No 04- The Subtracton Rule and ts Effects on Prcng n the Electrcty Industry Walter

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

1. Give a reason why the Thomson plum-pudding model does not agree with experimental observations.

1. Give a reason why the Thomson plum-pudding model does not agree with experimental observations. [Problems] Walker, Physcs, 3 rd Edton Chapter 31 Conceptual Questons (Answers to odd-numbered Conceptual Questons can be ound n the back o the book, begnnng on page ANS-xx.) 1. Gve a reason why the Thomson

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Chapter 6 Work and Kinetic Energy

Chapter 6 Work and Kinetic Energy Chapter 6 ork and Kinetic Energ Conceptual Probles True or alse: (a) I the net or work done on a particle was not zero, then its speed ust have changed. (b) I the net or work done on a particle was not

More information

total A A reag total A A r eag

total A A reag total A A r eag hapter 5 Standardzng nalytcal Methods hapter Overvew 5 nalytcal Standards 5B albratng the Sgnal (S total ) 5 Determnng the Senstvty (k ) 5D Lnear Regresson and albraton urves 5E ompensatng for the Reagent

More information

United Arab Emirates University College of Sciences Department of Mathematical Sciences HOMEWORK 1 SOLUTION. Section 10.1 Vectors in the Plane

United Arab Emirates University College of Sciences Department of Mathematical Sciences HOMEWORK 1 SOLUTION. Section 10.1 Vectors in the Plane United Arab Emirates University College of Sciences Deartment of Mathematical Sciences HOMEWORK 1 SOLUTION Section 10.1 Vectors in the Plane Calculus II for Engineering MATH 110 SECTION 0 CRN 510 :00 :00

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR

EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR 8S CHAPTER 8 EXAMPLES EXAMPLE 8.4A THE INVESTMENT NEEDED TO REACH A PARTICULAR FUTURE VALUE What amount must you nvest now at 4% compoune monthly

More information

In our example i = r/12 =.0825/12 At the end of the first month after your payment is received your amount in the account, the balance, is

In our example i = r/12 =.0825/12 At the end of the first month after your payment is received your amount in the account, the balance, is Payout annutes: Start wth P dollars, e.g., P = 100, 000. Over a 30 year perod you receve equal payments of A dollars at the end of each month. The amount of money left n the account, the balance, earns

More information

Kinetic Molecular Theory of Ideal Gases

Kinetic Molecular Theory of Ideal Gases ecture /. Kinetic olecular Theory of Ideal Gases ast ecture. IG is a purely epirical law - solely the consequence of eperiental obserations Eplains the behaior of gases oer a liited range of conditions.

More information

Certificate No. 68613082 ONTARIO COURT (PROVINCIAL DIVISION) - versus - PAULO RAPOSO TRANSCRIPT OF PROCEEDINGS

Certificate No. 68613082 ONTARIO COURT (PROVINCIAL DIVISION) - versus - PAULO RAPOSO TRANSCRIPT OF PROCEEDINGS Certfcate No. 686182 ONTARIO COURT (PROVINCIAL DIVISION) HER MAJESTY THE QUEEN - versus - PAULO RAPOSO TRANSCRIPT OF PROCEEDINGS Heard before The Honourable Mr. Justce D. Cooper at Hamlton, Ontaro on Aprl

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

Naglaa Raga Said Assistant Professor of Operations. Egypt.

Naglaa Raga Said Assistant Professor of Operations. Egypt. Volue, Issue, Deceer ISSN: 77 8X Internatonal Journal of Adanced Research n Coputer Scence and Software Engneerng Research Paper Aalale onlne at: www.jarcsse.co Optal Control Theory Approach to Sole Constraned

More information

Efficient Computation of Optimal, Physically Valid Motion

Efficient Computation of Optimal, Physically Valid Motion Vol. xx No. xx,.1 5, 200x 1 Effcent Comutaton of Otmal, Physcally Vald Moton Anthony C. Fang 1 and Nancy S. Pollard 2 1 Deartment of Comuter Scence, Natonal Unversty of Sngaore 2 Robotcs Insttute, Carnege

More information

L10: Linear discriminants analysis

L10: Linear discriminants analysis L0: Lnear dscrmnants analyss Lnear dscrmnant analyss, two classes Lnear dscrmnant analyss, C classes LDA vs. PCA Lmtatons of LDA Varants of LDA Other dmensonalty reducton methods CSCE 666 Pattern Analyss

More information

BANDWIDTH ALLOCATION AND PRICING PROBLEM FOR A DUOPOLY MARKET

BANDWIDTH ALLOCATION AND PRICING PROBLEM FOR A DUOPOLY MARKET Yugoslav Journal of Operatons Research (0), Nuber, 65-78 DOI: 0.98/YJOR0065Y BANDWIDTH ALLOCATION AND PRICING PROBLEM FOR A DUOPOLY MARKET Peng-Sheng YOU Graduate Insttute of Marketng and Logstcs/Transportaton,

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

Quality of Service Analysis and Control for Wireless Sensor Networks

Quality of Service Analysis and Control for Wireless Sensor Networks Qualty of ervce Analyss and Control for Wreless ensor Networs Jaes Kay and Jeff Frol Unversty of Veront ay@uv.edu, frol@eba.uv.edu Abstract hs paper nvestgates wreless sensor networ spatal resoluton as

More information

Chapter 6 Inductance, Capacitance, and Mutual Inductance

Chapter 6 Inductance, Capacitance, and Mutual Inductance Chapter 6 Inductance Capactance and Mutual Inductance 6. The nductor 6. The capactor 6.3 Seres-parallel combnatons of nductance and capactance 6.4 Mutual nductance 6.5 Closer look at mutual nductance Oerew

More information

Integer Programming Formulations for the Uncapacitated Vehicle Routing p-hub Center Problem

Integer Programming Formulations for the Uncapacitated Vehicle Routing p-hub Center Problem 21st Internatonal Congress on Modellng and Smulaton, Gold Coast, Australa, 29 No to 4 Dec 2015 www.mssanz.org.au/modsm2015 Integer Programmng Formulatons for the Uncapactated Vehcle Routng p-hub Center

More information

Energy-based Design of Steel Structures According to the Predefined Interstory Drift Ratio 1

Energy-based Design of Steel Structures According to the Predefined Interstory Drift Ratio 1 Dgest 01, December 01, 1573-1593 Energy-based Desgn of Steel Structures Accordng to the Predefned Interstory Drft Rato 1 Onur ERTER* Özgür BOZDAĞ** ustafa DÜZGÜ*** ABSTRACT The methods whch take lace n

More information

Answer, Key Homework 7 David McIntyre 45123 Mar 25, 2004 1

Answer, Key Homework 7 David McIntyre 45123 Mar 25, 2004 1 Answer, Key Hoework 7 David McIntyre 453 Mar 5, 004 This print-out should have 4 questions. Multiple-choice questions ay continue on the next colun or page find all choices before aking your selection.

More information

Lensless Compressive Sensing Imaging

Lensless Compressive Sensing Imaging ubtted January, 203 Lensless opressve ensng agng Gang Huang, Hong Jang, K Matthews and Paul Wlord Abstract n ths paper, we propose a lensless copressve sensng agng archtecture. The archtecture conssts

More information

s s f h s s SPH3UW Unit 7.7 Concave Lens Page 1 of 7 Notes Properties of a Converging Lens

s s f h s s SPH3UW Unit 7.7 Concave Lens Page 1 of 7 Notes Properties of a Converging Lens SPH3UW Unt 7.7 Cncave Lens Page 1 f 7 Ntes Physcs Tl bx Thn Lens s an ptcal system wth tw refractng surfaces. The mst smplest thn lens cntan tw sphercal surfaces that are clse enugh tgether that we can

More information

Chapter 12 Inductors and AC Circuits

Chapter 12 Inductors and AC Circuits hapter Inductors and A rcuts awrence B. ees 6. You may make a sngle copy of ths document for personal use wthout wrtten permsson. Hstory oncepts from prevous physcs and math courses that you wll need for

More information

Version 001 test 1 review tubman (IBII201516) 1

Version 001 test 1 review tubman (IBII201516) 1 Version 001 test 1 review tuban (IBII01516) 1 This print-out should have 44 questions. Multiple-choice questions ay continue on the next colun or page find all choices before answering. Crossbow Experient

More information

Stochastic Models of Load Balancing and Scheduling in Cloud Computing Clusters

Stochastic Models of Load Balancing and Scheduling in Cloud Computing Clusters Stochastc Models of Load Balancng and Schedulng n Cloud Coputng Clusters Sva Theja Magulur and R. Srkant Departent of ECE and CSL Unversty of Illnos at Urbana-Chapagn sva.theja@gal.co; rsrkant@llnos.edu

More information

CHAPTER 14 MORE ABOUT REGRESSION

CHAPTER 14 MORE ABOUT REGRESSION CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information