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Question 8
The vector e is an eigenvector of the matrix A, with corresponding eigenvalue λ, and is also an eigenvector of the matrix B, with corresponding eigenvalue μ. Show th... show full transcript
Step 1
Answer
To show that e is an eigenvector of the matrix AB with corresponding eigenvalue λμ, we start from the definitions of eigenvalues and eigenvectors. Given that Ae = λe and Be = μe, we can multiply both sides by B:
Thus, we have shown that e is an eigenvector of AB with eigenvalue λμ.
Step 2
Answer
To find the eigenvalues of matrix C, we look for the values of λ such that det(C - λI) = 0. The eigenvalues can be calculated as:
The corresponding eigenvectors can be determined by solving the equations:
Step 3
Answer
To show that ( \begin{pmatrix} 1 \ 6 \ 3 \end{pmatrix} ) is an eigenvector of D, we compute:
which indicates that ( egin{pmatrix} 1 \ 6 \ 3 \end{pmatrix} ) is an eigenvector with an eigenvalue of -2.
Step 4
Answer
Since CD shares eigenvectors with C and D, we note that both C and D have common eigenvalues, and thus:
The eigenvector ( \begin{pmatrix} 1 \ 6 \ 3 \end{pmatrix} ) can be recognized as an eigenvector of CD. The corresponding eigenvalue can be calculated as:
Thus, the corresponding eigenvalue relating to this eigenvector is -4.
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2.1 Properties of Matrices
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3.1 Roots of Polynomials
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9.1 Proof by Induction
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4.1 Hyperbolic Functions
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5.1 Volumes of Revolution
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6.1 Vector Lines
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8.1 First Order Differential Equations
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7.1 Polar Coordinates
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1.2 Exponential Form & de Moivre's Theorem
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8.2 Second Order Differential Equations
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6.2 Vector Planes
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5.2 Methods in Calculus
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3.2 Series
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2.2 Transformations using Matrices
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8.3 Simple Harmonic Motion
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3.3 Maclaurin Series
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12.1 Linear Programming (LP) problems
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13.1 Momentum & Impulse
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14.1 Work, Energy & Power
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15.1 Elastic Strings & Springs
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15.2 Elastic Collisions in 1D
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15.3 Elastic Collisions in 2D
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16.1 Discrete Probability Distributions
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17.1 Geometric & Negative Binomial Distributions
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18.1 Central Limit Theorem
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19.1 Poisson & Binomial Distributions
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20.1 Probability Generating Functions
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21.1 Poisson & Geometric Hypothesis Testing
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21.2 Chi Squared Tests
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