3) Numerical Solution of ODEs Flashcards

(41 cards)

1
Q

What is a Lipschitz condition for a function

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2
Q

When can the Lipschitz constant L be taken as the partial derviate with respect to y

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3
Q

What does Picard’s theorem state about the existence and uniqueness of solutions to differential equations

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4
Q

What is Euler’s method for solving differential equations

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5
Q

What is a one-step method and a multistep method in numerical integration

A

One-step Method - the step from (xn,yn) to (xn+1 ,yn+1) is computed using only the current values (xn ,yn), with no use of previously computed information (xk ,yk) for k < n
Multistep Method - use previously computed values

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6
Q

What is the general form of a one-step method

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7
Q

What is the Backward Euler method

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8
Q

How does the Backward Euler method fit into the definition of a one-step method

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9
Q

What is the Trapezium method for solving differential equations

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10
Q

What is the local truncation error for a one-step method, and what does it mean for the method to be of order p

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11
Q

How do we prove that Euler’s method has order p=1

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12
Q

How do we show that the trapezium rule has order p=2

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13
Q

What is the order of accuracy and the local truncation error for Euler’s method, the backward Euler method, and the trapezium method

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14
Q

What does it mean for a method to be consistent

A

A method is consistent if it has order p≥1. This means that the local truncation error goes to zero as the step size h→0

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15
Q

What is global error

A

The quantity en = y(xn) - yn

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16
Q

What does it mean for a method to be convergent

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17
Q

What is the global error for Euler’s method at any grid point xn

18
Q

How do we derive the global error bound for Euler’s method

19
Q

What is Heun’s method (also known as the improved Euler method)

20
Q

What is the general form of a 2-stage Runge–Kutta method and the general m-stage Runge–Kutta method

21
Q

How do you do the Taylor expansion of a multivariable function

A

f(xn + Δx,yn +Δy) =f(x ,yn)+Δx⋅fx (xn,yn)+Δy⋅fy(xn,yn)

22
Q

What are the conditions for the 2-stage Runge–Kutta method to be of order 2

23
Q

What are embedded Runge–Kutta methods and how do they help with error estimation

24
Q

What is the general form of Linear Multistep (LM) methods

25
What are the Adams methods
26
What is the 1-step Adams–Bashforth method
27
What is the 2-step Adams–Bashforth method
28
What are the formulas for the 3-step and 4-step Adams–Bashforth methods
29
How are Adams–Moulton methods different to Adams-Bashford methods and how are they built
It approximates the next value yn+1 using past values of f(x,y) and also includes f(xn+1,y n+1), making it more accurate but requiring solving an equation each step. It’s often used as a corrector after a predictor like Adams–Bashforth
30
What is the 1-step Adams–Moulton method
31
What is the region of absolute stability
The region of absolute stability is the set of hλ ∈C C for which yn → 0 as n → ∞
32
What is an A-stable method
If the region of absolute stability includes the entire left halfplane, then the method is said to be A-stable
33
What is the region of absolute stability for Euler’s method, backward Euler method, trapezium method, and 2-stage second order Runge-Kutta methods
34
Why can't any m-stage Runge–Kutta method be A-stable
35
How do we solve the nonlinear equation in implicit methods, and what ensures convergence
36
When does fixed point iteration converge
37
How does Newton’s method work for solving F(y)=0 (use backward Euler in this example)
38
What is a predictor-corrector method and why is it used
A predictor-corrector method uses: * An explicit method (predictor) to make a quick guess for yn+1, and * An implicit method (corrector) to refine the guess * This helps improve accuracy and speed up convergence
39
How does the PECE predictor-corrector method work for Euler + Trapezium
40
How does the PECE predictor-corrector method work for Adams–Bashforth + Adams–Moulton
41
How do we handle higher-order ODEs and vector systems numerically