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Block 5 Stochastic & Dynamic Systems Lesson 18 – Differential Equations - Methods and Models Charles Ebeling University of Dayton.

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Presentation on theme: "Block 5 Stochastic & Dynamic Systems Lesson 18 – Differential Equations - Methods and Models Charles Ebeling University of Dayton."— Presentation transcript:

1 Block 5 Stochastic & Dynamic Systems Lesson 18 – Differential Equations - Methods and Models
Charles Ebeling University of Dayton

2 Differential Equations
Equations involving derivatives used to solve practical problems in engineering and science. ENM/MSC applications include: queuing analysis reliability Markov processes modeling population growth, decline, spread of disease modeling conflicts

3 Examples of Differential Equations
I get it now. A differential equation has those dy-dx things in it.

4 Ordinary Differential Equations
Single independent variable with no partial derivatives order – highest ordered derivative degree – algebraic degree of the highest ordered derivative solution – a non-derivative relationship between the variables which satisfy the diff. eq. as an identify Examples: order 2, degree 1 order 3, degree 2

5 Solutions General solution – solutions involving n constants for an nth order differential equations as a result of n integrations Particular solution – obtained from general solution by assigning specific values to the constants Example – show y = cx2 is a general solution to:

6 Our very next diff. equation
Example – show is a general solution to: Who would have thought? It isn’t so bad when you are given the answer.

7 First Order – Linear (1st degree)

8 Solving first-order, linear equations
Variables separable Homogeneous equations Exact Equations Linear in y Engineering Management Students enjoying solving a differential equation problem.

9 Variables Separable - Examples
First he says its separable then he says to integrate. I am totally confused.

10 A Separable Example from tables

11 An old friend A = the amount of an initial investment at an interest rate of i compounded continuously

12 Another Example

13 1st Order Linear Diff Equations – General Solution
An integrating factor? Why it is a factor which when multiplied through a differential equation results in an exact differential equation. But everyone knows that.

14 Example #1

15 Not checking your work is indeed dumb.
Check your work! Not checking your work is indeed dumb.

16 Example #2

17 Check

18 Putting your math to work…
Dynamic Models Putting your math to work…

19 Exponential Growth A population increases at a rate proportional to its size. If a population doubles in one year, how many years before it will be 1000 times its original size? Let N = population size at time t and N0 = population at t = 0

20 More Population Growth

21 The Logistics Curve Under exponential growth, a population gets infinitely large as time goes on In realty, there are limits to growth that will slow down the rate of growth food supply, predators, overcrowding, disease, etc. Assume the size of a population, N, is limited to some maximum number M, where 0 < N < M and as NM, dN/dt  0 Desire exponential growth initially but then limits to growth

22 The Model For N small, (M-N) / M is close to 1
and growth is approximately exponential Then as NM, (M-N)  0 and dN/dt  0

23 Let’s solve for N… from the old table of integrals:

24 Keep on solving…

25 The Logistics Curve

26 The Maximum Rate of Growth

27 Now find the time at which the maximum growth rate occurs…
substitute M/2 for N solve for t

28 Time for an example The new Montgomery County jail can hold a maximum of 800 prisoners. One year ago there were 50 prisoners in the jail and now there are Assuming the jail population follows a logistic function, how many prisoners will there be three years from now? Let N(t) = the jail population after t years since opening when t = 0:

29 Still time for an example
I’ll be out of this joint before then. Max growth rate occurs at t = ln(15)/ln5 =1.7 years

30 A Campus Rumor In a Midwestern university, having a student population of 10,200, a rumor had been initiated among a class of 30 students that a favorite engineering professor will be winning the Noble prize in economics for his work on multivariable nonlinear profit maximization based upon first and second order partial derivatives. After a week, the rumor had spread around campus to 160 students. When the semester ends 5 weeks later (week 6 since rumor initiation), how many students will know the rumor? Assume the logistics growth process.

31 The rumor is spreading…

32 still spreading… Yes, it’s all over the campus. He has won the Noble prize in economics. I am so glad I took his course.

33 All good things must come to an end.
Hey, don’t run away from solving these equations All good things must come to an end. An engineering professor caught grading student papers

34 ENM 503 students saddened as they approach the end of the course


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