Differential Equations: Computing and Modeling (5th Edition), Edwards, Penney & Calvis
5th Edition
ISBN: 9780321816252
Author: C. Henry Edwards, David E. Penney, David Calvis
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 6.2, Problem 11P
Program Plan Intro
Write a code to find the critical point and show it is asymptotically stable or unstable.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Q.4 In an experimental setup, mineral oil is filled in between the narrow gap of two horizontal smooth
plates. The setup has arrangements to maintain the plates at desired uniform temperatures. At these
temperatures, ONLY the radiative heat flux is negligible. The thermal conductivity of the oil does not
vary perceptibly in this temperature range. Consider four experiments at steady state under different
experimental conditions, as shown in the figure Q1. The figure shows plate temperatures and the heat
fluxes in the vertical direction. What is the steady state heat flux (in W m) with the top plate at 90°C and
the bottom plate at 45°C?
[4]
30°C
70°C
40°C
90°C
flux = 39 Wm-2
flux =30 Wm2
flux = 52 Wm 2
flux ? Wm-2
60°C
35°C
80°C
45°C
Experiment 1
Experiment 2
Experiment 3
Experiment 4
2. Heat conduction in a square plate Three sides of a rectangular plate (@ = 5 m, b = 4 m) are kept at a temperature of 0 C and one side is kept at a temperature C, as shown in the figure. Determine and plot the ; temperature distribution T(x, y) in the plate. The temperature distribution, T(x, y) in the plate can be determined by solving the two-dimensional heat equation. For the given boundary conditions T(x, y) can be expressed analytically by a Fourier series (Erwin Kreyszig, Advanced Engineering Mathematics, John Wiley and Sons, 1993):
(i) In which case are Sobol coefficients not a good measure of sensitivity?
If the model can be well approximated with a gPC expansion
If many of the the higher order moments of the output are large
If the input random variables are dependent
Chapter 6 Solutions
Differential Equations: Computing and Modeling (5th Edition), Edwards, Penney & Calvis
Ch. 6.1 - Prob. 1PCh. 6.1 - Prob. 2PCh. 6.1 - Prob. 3PCh. 6.1 - Prob. 4PCh. 6.1 - Prob. 5PCh. 6.1 - Prob. 6PCh. 6.1 - Prob. 7PCh. 6.1 - Prob. 8PCh. 6.1 - Prob. 9PCh. 6.1 - Prob. 10P
Ch. 6.1 - Prob. 11PCh. 6.1 - Prob. 12PCh. 6.1 - Prob. 13PCh. 6.1 - Prob. 14PCh. 6.1 - Prob. 15PCh. 6.1 - Prob. 16PCh. 6.1 - Prob. 17PCh. 6.1 - Prob. 18PCh. 6.1 - Prob. 19PCh. 6.1 - Prob. 20PCh. 6.1 - Prob. 21PCh. 6.1 - Prob. 22PCh. 6.1 - Prob. 23PCh. 6.1 - Prob. 24PCh. 6.1 - Prob. 25PCh. 6.1 - Prob. 26PCh. 6.1 - Prob. 27PCh. 6.1 - Prob. 28PCh. 6.1 - Prob. 29PCh. 6.1 - Prob. 30PCh. 6.2 - Prob. 1PCh. 6.2 - Prob. 2PCh. 6.2 - Prob. 3PCh. 6.2 - Prob. 4PCh. 6.2 - Prob. 5PCh. 6.2 - Prob. 6PCh. 6.2 - Prob. 7PCh. 6.2 - Prob. 8PCh. 6.2 - Prob. 9PCh. 6.2 - Prob. 10PCh. 6.2 - Prob. 11PCh. 6.2 - Prob. 12PCh. 6.2 - Prob. 13PCh. 6.2 - Prob. 14PCh. 6.2 - Prob. 15PCh. 6.2 - Prob. 16PCh. 6.2 - Prob. 17PCh. 6.2 - Prob. 18PCh. 6.2 - Prob. 19PCh. 6.2 - Prob. 20PCh. 6.2 - Prob. 21PCh. 6.2 - Prob. 22PCh. 6.2 - Prob. 23PCh. 6.2 - Prob. 24PCh. 6.2 - Prob. 25PCh. 6.2 - Prob. 26PCh. 6.2 - Prob. 27PCh. 6.2 - Prob. 28PCh. 6.2 - Prob. 29PCh. 6.2 - Prob. 30PCh. 6.2 - Prob. 31PCh. 6.2 - Prob. 32PCh. 6.2 - Prob. 33PCh. 6.2 - Prob. 34PCh. 6.2 - Prob. 35PCh. 6.2 - Prob. 36PCh. 6.2 - Prob. 37PCh. 6.2 - Prob. 38PCh. 6.3 - Prob. 1PCh. 6.3 - Prob. 2PCh. 6.3 - Prob. 3PCh. 6.3 - Prob. 4PCh. 6.3 - Prob. 5PCh. 6.3 - Prob. 6PCh. 6.3 - Prob. 7PCh. 6.3 - Problems 8 through 10 deal with the competition...Ch. 6.3 - Problems 8 through 10 deal with the competition...Ch. 6.3 - Problems 8 through 10 deal with the competition...Ch. 6.3 - Prob. 11PCh. 6.3 - Prob. 12PCh. 6.3 - Prob. 13PCh. 6.3 - Prob. 14PCh. 6.3 - Prob. 15PCh. 6.3 - Prob. 16PCh. 6.3 - Prob. 17PCh. 6.3 - Prob. 18PCh. 6.3 - Prob. 19PCh. 6.3 - Prob. 20PCh. 6.3 - Prob. 21PCh. 6.3 - Prob. 22PCh. 6.3 - Prob. 23PCh. 6.3 - Prob. 24PCh. 6.3 - Prob. 25PCh. 6.3 - Prob. 26PCh. 6.3 - Prob. 27PCh. 6.3 - Prob. 28PCh. 6.3 - Prob. 29PCh. 6.3 - Prob. 30PCh. 6.3 - Prob. 31PCh. 6.3 - Prob. 32PCh. 6.3 - Prob. 33PCh. 6.3 - Prob. 34PCh. 6.4 - Prob. 1PCh. 6.4 - Prob. 2PCh. 6.4 - Prob. 3PCh. 6.4 - Prob. 4PCh. 6.4 - Prob. 5PCh. 6.4 - Prob. 6PCh. 6.4 - Prob. 7PCh. 6.4 - Prob. 8PCh. 6.4 - Prob. 9PCh. 6.4 - Prob. 10PCh. 6.4 - Prob. 11PCh. 6.4 - Prob. 12PCh. 6.4 - Prob. 13PCh. 6.4 - Prob. 14PCh. 6.4 - Prob. 15PCh. 6.4 - Prob. 16PCh. 6.4 - Prob. 17PCh. 6.4 - Prob. 18PCh. 6.4 - Prob. 19PCh. 6.4 - Prob. 20PCh. 6.4 - Prob. 21PCh. 6.4 - Prob. 22PCh. 6.4 - Prob. 23PCh. 6.4 - Prob. 24PCh. 6.4 - Prob. 25PCh. 6.4 - Prob. 26P
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- PROBLEM 24 - 0589: A forced oscillator is a system whose behavior can be described by a second-order linear differential equation of the form: ÿ + Ajý + A2y (t) = (1) where A1, A2 are positive %3D E(t) constants and E(t) is an external forcing input. An automobile suspension system, with the road as a vertical forcing input, is a forced oscillator, for example, as shown in Figure #1. Another example is an RLC circuit connected in series with an electromotive force generator E(t), as shown in Figure #2. Given the initial conditions y(0) = Yo and y(0) = zo , write a %3D FORTRAN program that uses the modified Euler method to simulate this system from t = 0 to t = tf if: Case 1: E(t) = h whereh is %3D constant Case 2: E(t) is a pulse of height h and width (t2 - t1) . Case 3: E(t) is a sinusoid of amplitude A, period 2n/w and phase angle p . E(t) is a pulse train Case 4: with height h, width W, period pW and beginning at time t =arrow_forwardQ1 (a) A system is described in the time domain by the equation: *(t) + 10x(t) + 30x(t) = u(t) Assume that all initial conditions as zero. Find the transfer function of this system, and the steady-state response for an impulse input using the Final Value Theorem. (ii) Find the time domain response of the system for an impulse input and verify that the response as t → o is the same as that given by the Final Value Theorem. (b) The Frequency response of a system can be obtained experimentally or theoretically. Briefly explain both approaches. Which are the two common methods to represent the frequency response graphically? (c) Give a definition of a root-locus diagram. In your answer, explain what is meant by characteristic equation and discuss its significance in this context.arrow_forward1.) The distribution of I & Q is zero-mean Gaussian; their phase, amplitude, and power are uniform, Rayleigh, and Exponential distribution. Using the given I & Q data to show these distributions. Requirements: In this project, please use the I & Q data from 1000 gate to demonstrate these PDFS. Data from azimuthal angle between 5° to 30°, range between 20 km to 50 km are suggested used in this analysis.arrow_forward
- Find the differential equation from the transfer of the function for the Giving following system and draw the block diagram of the system. 3 H = x(s) u(s) 0.5s + 1arrow_forwardQuestion No.15: a.) Explain Bezier equation with algorithm and the method of construction of curve from trajectory lines. b.) Compare line, surface and solid modeling in every aspect for industrial applications with examplesarrow_forwardProvide a MATLAB code using laplace and ilaplace commands that will be able to solve the application of second-order differential equation simple harmonic motion word problem: Assume an object weighing 2 lb stretches a spring 6 in Find the equation of motion if the spring is released from the equilibrium position with an upward velocity of 16 ft/sec. What is the period of the motion? Solution We finst need to find the spring constant. We have mg ka -() We aso know thet weight W equals the product of mass m and the acceleration due to gravity s. In Englih unts, the acceleration due to grovity is 32 sec. Wmg 2- m(32) 16 Thus, the diferential eqution representing this system is Multiplying through by 16, we get + 6lr0, which can also be writen in the form + (z- 0. This equation has the general solution () = , con8) + ain(). The mos was released from the equlibrium postion, so r0) -0, and it had an inital upward velocity of 16 isec, oz 10) - -16 Applying these intial conditions to solve…arrow_forward
- Q1: Consider a surface of revolution generated by a Bezier curve defined by the four control points P(0,0,0), (2,1,2), P₂ (3,3,0) P, (2,2,3) respectively, rotating about the X-axis. Calculate the point on the surface at u = 0.25, 0= π/2.arrow_forward2. calculates the trajectory r(t) and stores the coordinates for time steps At as a nested list trajectory that contains [[xe, ye, ze], [x1, y1, z1], [x2, y2, z2], ...]. Start from time t = 0 and use a time step At = 0.01; the last data point in the trajectory should be the time when the oscillator "hits the ground", i.e., when z(t) ≤ 0; 3. stores the time for hitting the ground (i.e., the first time t when z(t) ≤ 0) in the variable t_contact and the corresponding positions in the variables x_contact, y_contact, and z_contact. Print t_contact = 1.430 X_contact = 0.755 y contact = -0.380 z_contact = (Output floating point numbers with 3 decimals using format (), e.g., "t_contact = {:.3f}" .format(t_contact).) The partial example output above is for ze = 10. 4. calculates the average x- and y-coordinates 1 y = Yi N where the x, y, are the x(t), y(t) in the trajectory and N is the number of data points that you calculated. Store the result as a list in the variable center = [x_avg, y_avg]…arrow_forwardProblem 3 In class, we solved for the vorticity distribution for a "real" line vortex diffusing in a viscous fluid. Integrate this vorticity distribution to find the tangential velocity as a function of radius. Plot the velocity distributions for a a line vortex of circulation 0.5 mls in 20 °C air for times of 1, 10, and 100 seconds.arrow_forward
- Given four 2D points a0, a1, b0, and b1, design a robust procedure to determine whether the line segments a0a1 and b0b1 intersect.arrow_forward(b) The Phong illumination model can be expressed by the following: I = kaia + kaia(l ·n) + k,i,(r · v)ª. (i) Describe each term in this equation. You should specify which parts relate to each type of reflectance, and also define each vector and scalar. (ii) What illumination effects are not accounted for by this model?arrow_forwardConsider the function as given. (a) Use a computer algebra system to graph the function and use the graph to approximate the critical numbers visually. (b) Use a computer algebra system to find f′ and approximate the critical numbers. Are the results the same as the visual approximation in part (a)? Explain.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- C++ for Engineers and ScientistsComputer ScienceISBN:9781133187844Author:Bronson, Gary J.Publisher:Course Technology Ptr
C++ for Engineers and Scientists
Computer Science
ISBN:9781133187844
Author:Bronson, Gary J.
Publisher:Course Technology Ptr