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MATH 685 CSI 700 OR 682 Lecture Notes

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Ordinary differential equation (ODE): all derivatives are with ... Solution of differential equation is function in infinite-dimensional space of functions ... – PowerPoint PPT presentation

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Title: MATH 685 CSI 700 OR 682 Lecture Notes


1
MATH 685/ CSI 700/ OR 682 Lecture Notes
  • Lecture 10.
  • Ordinary differential equations.
  • Initial value problems.

2
Differential equations
  • Differential equations involve derivatives of
    unknown solution function
  • Ordinary differential equation (ODE) all
    derivatives are with respect to single
    independent variable, often representing time
  • Solution of differential equation is function in
    infinite-dimensional space of functions
  • Numerical solution of differential equations is
    based on finite-dimensional approximation
  • Differential equation is replaced by algebraic
    equation whose solution approximates that of
    given differential equation

3
Order of ODE
  • Order of ODE is determined by highest-order
    derivative of solution function appearing in ODE
  • ODE with higher-order derivatives can be
    transformed into equivalent first-order system
  • We will discuss numerical solution methods only
    for first-order ODEs
  • Most ODE software is designed to solve only
    first-order equations

4
Higher-order ODEs
5
Example Newtons second law
u1 solution y of the original equation
of 2nd order u2 velocity y
Can solve this by methods for 1st order
equations
6
ODEs
7
Initial value problems
8
Initial value problems
9
Example
10
Example (cont.)
11
Stability of solutions
  • Solution of ODE is
  • Stable if solutions resulting from perturbations
    of initial value remain close to original
    solution
  • Asymptotically stable if solutions resulting from
    perturbations converge back to original solution
  • Unstable if solutions resulting from
    perturbations diverge away from original solution
    without bound

12
Example stable solutions
13
Example asymptotically stable solutions
14
Example stability of solutions
15
Example linear systems of ODEs
16
Stability of solutions
17
Stability of solutions
18
Numerical solution of ODEs
19
Numerical solution to ODEs
20
Eulers method
21
Example
22
Example (cont.)
23
Example (cont.)
24
Example (cont.)
25
Numerical errors in ODE solution
26
Global and local error
27
Global vs. local error
28
Global vs. local error
29
Global vs. local error
30
Order of accuracy. Stability
31
Determining stability/accuracy
32
Example Eulers method
33
Example (cont.)
34
Example (cont.)
35
Example (cont.)
36
Example (cont.)
37
Stability in ODE, in general
38
Step size selection
39
Step size selection
40
Implicit methods
41
Implicit methods, cont.
42
Backward Euler method
43
Implicit methods
44
Backward Euler method
45
Backward Euler method
46
Unconditionally stable methods
47
Trapezoid method
48
Trapezoid method
49
Implicit methods
50
Stiff differential equations
51
Stiff ODEs
52
Stiff ODEs
53
Example
54
Example, cont.
55
Example (cont.)
56
Example (cont.)
57
(No Transcript)
58
Example (cont.)
59
Numerical methods for ODEs
60
Taylor series methods
61
Taylor series methods
62
Runge-Kutta methods
63
Runge-Kutta methods
64
Runge-Kutta methods
65
Runge-Kutta methods
66
Extrapolation methods
67
Multistep methods
68
Multistep methods
69
Multistep methods
70
Example of multistep methods
71
Example (cont.)
72
Multistep Adams methods
73
Properties of multistep methods
74
Properties of multistep methods
75
Multivalue methods
76
Multivalue methods
77
Example
78
Example (cont.)
79
Example (cont.)
80
Example (cont.)
81
Multivalue methods, cont.
82
Variable-order/Variable-step methods
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