Solutions Modeling Dynamics of Life 3ed Adler - Chapter 3.8

3.8.1 TryNewton’s method graphically for two steps starting from the given points on the figure. ... The point marked A.
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3.8.2 TryNewton’s method graphically for two steps starting from the given points on the figure. ... The point marked B.
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3.8.3 TryNewton’s method graphically for two steps starting from the given points on the figure. ... The point marked C.
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3.8.4 TryNewton’s method graphically for two steps starting from the given points on the figure. ... The point marked D.
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3.8.5 Use Newton’s method for three steps to solve the following equations. Find and sketch the tangent line for the first step, then find the Newton’s method discrete-time dynamical system to check your answer for the first step and compute the next two values. Compare with the result on your calculator. ... (this can be solved exactly with the quadratic formula).
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3.8.6 Use Newton’s method for three steps to solve the following equations. Find and sketch the tangent line for the first step, then find the Newton’s method discrete-time dynamical system to check your answer for the first step and compute the next two values. Compare with the result on your calculator. ...
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3.8.7 Use Newton’s method for three steps to solve the following equations. Find and sketch the tangent line for the first step, then find the Newton’s method discrete-time dynamical system to check your answer for the first step and compute the next two values. Compare with the result on your calculator. ...
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3.8.8 Use Newton’s method for three steps to solve the following equations. Find and sketch the tangent line for the first step, then find the Newton’s method discrete-time dynamical system to check your answer for the first step and compute the next two values. Compare with the result on your calculator. The point where cos(x) = x (in radians, of course).
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3.8.9 Many equations can also be solved by repeatedly applying a discrete-time dynamical system. Compare the following discrete time dynamical systems with the Newton’s method discrete-time dynamical system. Show that each has the same equilibrium, and see how close you get in three steps. Use the discrete-time dynamical system ... to solve ...
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3.8.10 Many equations can also be solved by repeatedly applying a discrete-time dynamical system. Compare the following discrete time dynamical systems with the Newton’s method discrete-time dynamical system. Show that each has the same equilibrium, and see how close you get in three steps. Use the discrete-time dynamical system ...to solve ... (based on Exercise 6).
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3.8.11 Many equations can also be solved by repeatedly applying a discrete-time dynamical system. Compare the following discrete time dynamical systems with the Newton’s method discrete-time dynamical system. Show that each has the same equilibrium, and see how close you get in three steps. Use the discrete-time dynamical system ... to solve ... (based on Exercise 7).
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3.8.13 Find the value of the parameter r for which the given discrete-time dynamical system will converge most rapidly to its positive equilibrium. Follow the system for four steps starting from the given initial condition. The logistic dynamical system ... Start from x0 = 0.75.
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3.8.13 Find the value of the parameter r for which the given discrete-time dynamical system will converge most rapidly to its positive equilibrium. Follow the system for four steps starting from the given initial condition. The logistic dynamical system ... Start from x0 = 0.75.
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3.8.15 As mentioned in the text, although Newton’s method works incredibly well most of the time, it can perform poorly or even fail in many circumstances. For each of the following, graph the function and illustrate the following problems. Find two initial values from which Newton’s method fails to solve x(x − 1)(x + 1)= 0. Which starting points converge to a negative solution?
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3.8.15 As mentioned in the text, although Newton’s method works incredibly well most of the time, it can perform poorly or even fail in many circumstances. For each of the following, graph the function and illustrate the following problems. Find two initial values from which Newton’s method fails to solve x(x − 1)(x + 1)= 0. Which starting points converge to a negative solution?
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3.8.16 As mentioned in the text, although Newton’s method works incredibly well most of the time, it can perform poorly or even fail in many circumstances. For each of the following, graph the function and illustrate the following problems. Find two initial values from which Newton’s method fails to solve ...Graphically indicate a third such value.
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3.8.17 As mentioned in the text, although Newton’s method works incredibly well most of the time, it can perform poorly or even fail in many circumstances. For each of the following, graph the function and illustrate the following problems. Use Newton’s method to solve ... (the solution is 0). Why does it approach the solution so slowly?
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3.8.18 As mentioned in the text, although Newton’s method works incredibly well most of the time, it can perform poorly or even fail in many circumstances. For each of the following, graph the function and illustrate the following problems. Use Newton’s method to solve ... (the solution is 0). This is the square root of the absolute value of x. Why does the method fail?
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3.8.19 Suppose we wish to solve the equation f (x) =0 but cannot compute the derivative f (x) (this kind of problem arises when the function f (x) must be evaluated with a complicated computer program). One method approximates the derivative f (x with f (x + 1) f (x) (the secant line). For each of the following cases, write an approximate Newton’s method discrete- time dynamical system, illustrate the procedure on a diagram, and try it for five steps to see how quickly it approaches the solution. ...
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3.8.20 Suppose we wish to solve the equation f (x) =0 but cannot compute the derivative f (x) (this kind of problem arises when the function f (x) must be evaluated with a complicated computer program). One method approximates the derivative f (x with f (x + 1) f (x) (the secant line). For each of the following cases, write an approximate Newton’s method discrete- time dynamical system, illustrate the procedure on a diagram, and try it for five steps to see how quickly it approaches the solution. ...
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3.8.21 There is an alternative way to approximate the slope of the function at the value ... : ... For each of the following equations, use this estimate to write an approximate Newton’s method discrete-time dynamical system and illustrate the idea on a diagram. How is it different from an ordinary discrete-time dynamical system? Run it for a few steps starting from x0 and x1 from the earlier problem. Does it converge faster than the earlier approximation? Why? How does it compare with Newton’s method itself? ...
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3.8.22 There is an alternative way to approximate the slope of the function at the value ... : ... For each of the following equations, use this estimate to write an approximate Newton’s method discrete-time dynamical system and illustrate the idea on a diagram. How is it different from an ordinary discrete-time dynamical system? Run it for a few steps starting from x0 and x1 from the earlier problem. Does it converge faster than the earlier approximation? Why? How does it compare with Newton’s method itself? ...
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3.8.23 Suppose the total amount of nectar that comes out of a flower after time t follows ... After noting how this function differs from the forms studied in the text, write the equation used to find the optimum time to remain, and then solve it with Newton’s method (and algebraically if possible) when the travel time τ takes on the following values. Draw the associated Marginal Value Theorem diagram. τ =0.
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3.8.24 Suppose the total amount of nectar that comes out of a flower after time t follows ... After noting how this function differs from the forms studied in the text, write the equation used to find the optimum time to remain, and then solve it with Newton’s method (and algebraically if possible) when the travel time τ takes on the following values. Draw the associated Marginal Value Theorem diagram. τ =1.
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3.8.25 Suppose a fish population follows the discrete-time dynamical system ... For the following values of r , find the equilibrium ...as a function of h, write the equation for the critical point of the payoff function ...and use Newton’s method to find the best h. r = 2.5.
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3.8.26 Suppose a fish population follows the discrete-time dynamical system ... For the following values of r , find the equilibrium ...and use Newton’s method to find the best h. r = 1.5.
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3.8.27 Consider a variant of the medication discrete-time dynamical system ... where the function ...represents the fraction used (see Section1.10, Exercise 39). Suppose that ...For the following values of α, use the Intermediate Value Theorem to show that there is an equilibrium, follow the solution of the discrete-time dynamical system until it gets close to the equilibrium (about three decimal places), and find the equilibrium with Newton’s method. α = 0.5.
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3.8.28 Consider a variant of the medication discrete-time dynamical system ... where the function ...represents the fraction used (see Section1.10, Exercise 39). Suppose that ...For the following values of α, use the Intermediate Value Theorem to show that there is an equilibrium, follow the solution of the discrete-time dynamical system until it gets close to the equilibrium (about three decimal places), and find the equilibrium with Newton’s method. α = 0.9.
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3.8.29 Thomas Malthus predicted doom for the human species when he argued that populations grow exponentially but their resources only grow linearly. Find the time when the population runs out of resources in the following cases. The population grows according to ..., and resources grow according to R(t)= 400 + 100t. The population starves when b(t) = R(t).
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3.8.30 Thomas Malthus predicted doom for the human species when he argued that populations grow exponentially but their resources only grow linearly. Find the time when the population runs out of resources in the following cases. The population grows according to ..., and resources grow according to R(t) = 4000 + 500t. The population starves when b(t) = R(t).
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3.8.31 A lung follows the discrete-time dynamical system ... where γ = 5.0 and the function ...is positive, decreasing, and α(0)= 1. We used the Intermediate Value Theorem (Exercise 31 in Section 3.4) to show that there is an equilibrium for any such function α(c). Use Newton’s method to solve for the equilibrium for the following forms of α(c). ...
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3.8.32 A lung follows the discrete-time dynamical system ... where γ = 5.0 and the function ...is positive, decreasing, and α(0)= 1. We used the Intermediate Value Theorem (Exercise 31 in Section 3.4) to show that there is an equilibrium for any such function α(c). Use Newton’s method to solve for the equilibrium for the following forms of α(c). ...
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3.8.33 An alternative method of solution, which is much slower but much safer, is called bisection. The method is based on the Intermediate Value Theorem. We will use it to solve ...
a. We know there is a solution between x = 0 and x = 2. Show that there is a solution between x = 1 and x = 2.
b. By computing g(1.5), show there is a solution between 1.0 and 1.5.
c. Compute g(1.25). There is either a solution between 1.0 and 1.25 or between 1.25 and 1.5. Which is it?
d. Compute the value of g at the midpoint of the previous interval, and find an interval half as big that contains a solution.
e. Continue bisecting the interval until your answer is right to three decimal places.
f. About how many more steps would it take to reach six decimal places?
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3.8.34 Solve the equation ...by using the quadratic approximation for the function and solving each step by using the quadratic formula. Compare how fast it converges with Newton’s method. Which method do you think is better?
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