
General Solutions of Second Order Systems

Interactive Video
•
Mathematics, Physics, Science
•
11th Grade - University
•
Hard

Emma Peterson
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal when adding periodic forcing to a second order system of ODEs?
To determine the natural frequencies
To eliminate the forcing term
To find the eigenvalues of the system
To find a particular solution and add it to the general solution
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it unnecessary to use sine in the particular solution guess for the system?
Because the system only involves second derivatives
Because sine functions are not periodic
Because cosine functions are easier to differentiate
Because sine functions do not affect the solution
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Under what condition is the matrix sum of 'a' and Omega squared 'I' invertible?
When negative Omega squared is not an eigenvalue of matrix 'a'
When Omega is a natural frequency
When the system is homogeneous
When the forcing term is zero
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if Omega is a natural frequency of the system?
The system becomes unstable
The matrix sum of 'a' and Omega squared 'I' is not invertible
The forcing term is eliminated
The eigenvalues become complex
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the example problem, what is the role of the spring constant 'K'?
It determines the mass of the system
It defines the amount of force exerted by the spring
It is used to calculate the acceleration
It is irrelevant to the system
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the example problem, what does the vector 'G' represent?
The mass of the system
The acceleration of the system
The spring constant
The oscillating force acting on the second cart
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in solving the homogeneous equation of the system?
Determining the eigenvectors
Finding the particular solution
Simplifying the system equations
Calculating the eigenvalues of matrix 'a'
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