rickeyzack_285936_53810636_HW10 2850

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Numerical Methods HOMEWORK 10 – Due April 17, before 11:59 pm 10.1 Application: Finite Difference Rules Go back to problem 9.4 (from your last HW) which had data for the height y i (m) of a pumpkin as a function of time t i (sec). a) Use the 3-point centered difference rule to calculate the acceleration (d 2 y /d t 2 ) of the pumpkin at t = 1.5 seconds. (Compare this value to what you already know the acceleration due to gravity should be in m/s 2 .) 3 pts Time, t i Height, y i 0 1 2 3 0 10 20 30 b) Use the 4-point backward difference rule to calculate the acceleration (d 2 y /d t 2 ) of the pumpkin at t = 3.0 seconds. Hint : you can find this rule in Table 8-1 (pg 318) of the textbook, or the back of your “Class 30/31” handout. c) IF you obtained and used measurements every 0.1 seconds (instead of 0.3 seconds, like in the table of data), quantify how much you’d expect the error in your acceleration calculation from part (a) to change. 10.2 Fundamentals: Taylor Series This is the equation for the Taylor Series expansion of f ( x + d ), as a function of f ( x ) and all its derivatives at x , that will be given to you on your midterm and exam cheat-sheets: Start with that equation and use it to derive the expression for f ( x i – 5 D x ) ( i.e. f ( x ) evaluated five nodes to the left of x i ) as a function of f ( x i ) and all the derivatives at x i (up to the FIFTH derivative). 2 pts f ( x + δ ) = f ( x ) + δ ʹ f ( x ) + δ 2 2 ʹʹ f ( x ) + δ 3 3! ʹʹʹ f ( x ) + δ 4 4! ʹʹʹʹ f ( x ) + ! 10.3 Application: Error Order and Precision The following is a 5-point difference scheme, over equally-spaced x i , for d 3 f /d x 3 at x = x i : Write out Taylor Series expressions for each of the four f i -3 , f i -2 , f i -1 , f i +1 to the FIFTH derivative, like you did in 8.4, and then combine them using the given difference scheme above to … a) Calculate the discretization error order ( i.e. write the error = O ( D x p ) for some integer p ). b) Calculate the precision of the scheme. ʹʹʹ f ( x i ) = 1 2 Δ x 3 f i 3 6 f i 2 + 12 f i 1 10 f i + 3 f i + 1 ( ) + Error 7 pts
HW10 ( 10.1 – 10.6) due Monday April 17 10.4 DERIVING difference formula for ANY order derivative to ANY error order Use Taylor series expansions to derive a forward difference scheme, over equally-spaced points, using any or all of f i , f i+1 , f i+2 , f i+3 and f i+4 that approximates d 2 f /d x 2 ( 2 nd derivative at x i ) to order ( D x 3 ) discretization error. Hint : DON’T write a Taylor Series for f i . f i is just itself (or just written as f ( x i )). There’s nothing else you can do with it! Only ever create Taylor Series expansions for points other than f i . Show all your work! Write all appropriate Taylor Series out, and describe your goals – what terms do you need to keep, what terms do you need to eliminate? If you follow the methodology from class, you should end up with 4 equations for 4 unknowns ( i.e. coefficients a , b , c , d that you’re using to weight each Taylor Series). It’s fine if you then use MATLAB to solve for them – you should get nice “round” fractions in your final scheme. 10.5 Fundamentals: Characterizing ODEs (Chapter 10) For each of the following three ODEs … i. characterize its order ( e.g. 1 st -order, 2 nd -order, etc.), ii. characterize it as an IVP (Initial Value Problem) or BVP (Boundary Value Problem), iii. write the ODE in standard form. 7 pts 6 pts ( B ) y dx dy = sin( x ) + d ( x 3 ) dy , x 4 ( ) = 1 ( A ) qe r = r dq dr + d 2 q dr 2 , q 2 ( ) = 0, q ' 0 ( ) = 1 ( C ) 1 + d 2 x dt 2 d 3 x dt 3 + x = 4 dx dt , x 3 ( ) = 3, x ' 3 ( ) = 2, x '' 3 ( ) = 1
HW10 ( 10.1 – 10.6) due Monday April 17 10.6 Application: (Single-Step, Explicit) Euler Method to Solve an IVP You want to solve the following 1 st -order Initial Value Problem: with the initial condition T ( t = 0) = T 0 = 30. Why?? Because your manufacturing floor is at an excruciating T 0 = 30 o C (about 86 F), when you turn on the air-conditioning. What you want to determine is how long it will take to get the room temperature down to 18 o C. The room has a volume V = (10m) x (20m) x (6m) = 1800 m 3 , so knowing the density of air = 1.2 kg/m 3 there’s m = 2160 kg of air you need to cool. 5 pts dT dt = T 18 + 43 45 t 300 m = 2160 kg of air, initially at T 0 = 30 o C m = 120 kg/min of cold air at T AC = 10 o C . mc dT dt = ! mcT AC ! mcT + ! Q dT dt = ! m m T AC T ( ) + ! Q mc m = 120 kg/min of room air leaving at T ( t ) . Q = 14400 – 120 t Watts of solar heat Your air-conditioner can only provide 120 kg/min of cold air (at T AC = 10 o C , about 50F). That will mix around with the air in the room, so an equal amount of air will leave the room at whatever the temperature of the room is. Let’s call that T ( t ) . Room temp = T ( t ) That all wouldn’t be too bad, except the sun is still coming in the windows, putting in a lot of heat! It’s near the end of the day, so the amount of solar heat is dropping off with time, according to the formula Q = 14400 – 120 t , where t is in minutes, and Q in Watts (so it will be at 0 after 2 hours). So what does all this mean? You’ll learn in a Thermodynamics class that the temperature of the room T ( t ) will go up and down as the thermal energy in the room goes up and down. The solar heat raises the thermal energy. The difference between the cold air in and room-temp air out lowers the thermal energy. The “energy balance” is given by the 1 st order ODE The “ c ” in the equation represents the “thermal capacity” of the air (how much heat it takes to raise the temperature of 1 kg of air by 1 o C). That’s known to be 1000 J/kg .o C. When I plug all the values for the problem in the equation, and convert units so I’m working with time ( t ) in minutes, I get the equation I started with at the top of the page! So let’s get back to that (since, as you probably figured out by now, you didn’t really have to understand anything in this “Why??” box to solve the problem). , which can be rewritten as (a) Use the (single-step, explicit) Euler method to solve the 1 st -order IVP , where T is the temperature of the room (in o C), and t is time (in minutes). Solve the problem over the range t = [0, 40] minutes, using step size D t = 10 min ( i.e. calculate T i at t 0 = 0, t 1 = 10, t 2 = 20, t 3 = 30, and t 4 = 40 minutes). Show all your work in table form, like we did in class, showing how you start from each ( t i , T i ) to get the next t i+1 , “ slope i ”, and T i+1 . (b) Make a sketch of T i ( t i ) ( i.e. draw and connect the 5 dots), and comment about what time you think (if ever!) the temperature of the room will get down to 18 o C. dT dt = T 18 + 43 45 t 300 T (0) = 30
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From 9.4 i o o 3 Goi'd 1.5 Is 21 9 10 32.2 33 32.8 31.8 29.927.1 23.4 18.8 13.4 31 a Use the 3 pt centered difference rule to calculate EIGIL tiofootgrfityPI.PK weE.tt 1.5 seconds Three point central difference k 2 f ti ft i 2ft tin E 1.5 s i 6 h big 3 30 0.3 f to f ts 2ft f E 29.9 2,13317 23.4 10 m s f yo 10m15 vs 9.81 m s expected Percent error 10298,81 100 1.936 off b Use the 4 pt backward difference rule to calculate the acceleration day Ide of the pumpkin at E3 seconds fifteen ft f ti f ti 3 4ft p 5f ti 1 2ft backward t 3 seconds 5 11
day f ti f to 4f ty 5f to 2f tin 18.8 4 13.4 5 7 1 2107 0.37 dffef ti 7.77 miss c If you obtained and used measurements every oil seconds instead of every 0.3 seconds aventify how much you'd expect the error in your acceleration calculation to change ht ox 0.1 8 8 t th f or order for 3 pt centered and 4 pt backward difference Cox Therefore the go by tf I write fl 5 fix 5
Giv f xi g Ifi s Gfi z t 12ft i 10ft t 3 fit 1 a Calculate the discretization error order write error 06 7 White th II fifireseries expansions for each term to fi 3 f xi Gox t xi 9g F ki Fox f xi Egox f Vi 35g trail fi z f xi Tox f xi t 4g f xi foxf xi q ox f Vi if oxtuxi fi i fail Cox f Gift of f xi f off ki tyg oxf Vai Io oxtail fit f x x f xi t of f xi tf ox f ki tyg oxf Vai go of Vail ti z Gfi z t 12ft y 10ft t 3 fit 1 1 6 12 3 Coefficient calculation oxt xi 1127 66 227 121 1 3 i 0 ox't xi 1 92 6 4 27 121112 3 1 2 0 off xi 1471 6681 12 461 311161 2 ox't xi I 8 6 2 37 17 1124 3 1 24 0 ox't xi I 81 61757 121 4120 3 1 170 0.5 Combined 3 ti g G fi z t 12 fi i lo fi t 3ti ti 20 3 t ki tox't xi t ki y It error
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order of error 2 because we ha e toxtrixil left 065 b Calculate the precision of the scheme precision is when the error d foxfYxi O precision ty
I Derive forward difference scheme using fi titi fitz it and tity to order ox error order Cleans T unknowns fixt I is fitz I 213 C 4 15 of error with ox 0 3 0 8 Ex ox so Want Ux term so ox xi I Matrix to calculate Eff 39 E It 1 4 3 2 I Ito 5,9 cell to
Full 4 pt forwards method with ox error 0
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For each of the ODE's A get r dat Fyi 9127 0 a 107 1 i order 2nd rider highest order of ODE ii BUP or IVP BUP Boundary rendition at iiit ODE in standard form Z and x o get off ftp E rit er r FET II er ray B y I sin At x1 47 1 it orderIst order in BUP or IVP I.VE gntyahgglYe given us an iii ODE in standard form
YE sink Left y E sink Left F Y 4 C It df d x 4,4 x 3 3 x 137 2 x 37 1 i order Jd order ODE ii BUP or IVP IVP t 3 is given us an initial value or the iiit ODE in standard matte Additionally devi tires are present It def d tx If It dÉE II x 4dg I I d II x 44 I dye It d tx 4ft 1 x Etz x d Ee 1 x EE
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I Is 475 too To 30 at t D h 10 Runge Kutta 4th order y it it yit f kitzka 2k t ka K he f xinyi k h xith it k hot kith it Ky h faith it ks to 0 To 30 T To the kitzka 2kg t ka