Question 1
1 pts
Calculate z=(5−2i)(1+3i).
What is the real part of z ?
Hint: Your answer must be an integer.
Question 3
1 pts
Calculate the eigenvalues of the following matrix:
A=(4−32−1).
4 and -1
2±i
1 and 2
−1±2i
Question 5
1pts
What type of equilibrium is displayed on this phase portrait?
This is a spiral sink.
This is a spiral source.
This is an improper sink.
This is an improper source.
Question 6
1 pts
What is the solution to
dtdY=[2002]Y ? Y=c1e2t[0−1]+c2e2t[01]Y=c1e−2t[10]+c2e−2t[01]Y=e−2t1[c1c2]Y=c1e−2t[10]+c2e2t[01]
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Answer from Sia
Posted 8 months ago
Solution by Steps
step 1
To calculate the product z=(5−2i)(1+3i), we use the distributive property of multiplication for complex numbers
step 2
Expand the product: (5−2i)(1+3i)=5⋅1+5⋅3i−2i⋅1−2i⋅3i
step 3
Simplify each term: 5⋅1=5, 5⋅3i=15i, −2i⋅1=−2i, and −2i⋅3i=−6i2
step 4
Recall that i2=−1, so −6i2=−6(−1)=6
step 5
Combine the real and imaginary parts: 5+6+15i−2i=11+13i
step 6
The real part of z is 11
Question 1 Answer
A
Key Concept
Multiplication of Complex Numbers
Explanation
To multiply complex numbers, use the distributive property and combine like terms, remembering that i2=−1.
Solution by Steps
step 1
To find the eigenvalues of the matrix A=(4−32−1), we solve the characteristic equation det(A−λI)=0
step 2
The characteristic equation is det(4−λ−32−1−λ)=0
step 3
Calculate the determinant: (4−λ)(−1−λ)−(2)(−3)=λ2−3λ−2=0
step 4
Solve the quadratic equation λ2−3λ−2=0 to find the eigenvalues
step 5
The solutions are λ1=2 and λ2=1
Question 3 Answer
C
Key Concept
Eigenvalues of a Matrix
Explanation
Eigenvalues are found by solving the characteristic equation det(A−λI)=0.
Solution by Steps
step 1
The given differential equation is dtdY=[2002]Y
step 2
To solve this, we need to find the eigenvalues and eigenvectors of the matrix [2002]
step 3
The eigenvalues of the matrix are λ1=2 and λ2=2
step 4
The general solution to the differential equation is Y=c1e2t[10]+c2e2t[01]
Question 6 Answer
C
Key Concept
Solving Linear Differential Equations
Explanation
The solution to a system of linear differential equations involves finding the eigenvalues and eigenvectors of the coefficient matrix.
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