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Transcript
Eigensolution of a 2x2 Matrix
The eigenvectors and eigenvalues of a 2x2 matrix can be easily calculated in closed form. Using the standard
eigensolution formula:
Where is a square matrix, is an eigenvector of and is the eigenvalue associated with eigenvector . For the
2x2 case, the eigensolution formula is expanded as:
[
][ ]
[
][ ]
The eigenvalues of the system are calculated by rearranging the equation into homogeneous form:
(
)
or
[
][ ]
For this to hold true, the determinant of
[ ]
must be equal to zero.
(
)
Solving the determinant of gives:
The determinant equation can then be rearranged into a polynomial of
( )
The roots of the
(
)
(
)
polynomial are then solved for using the quadratic formula.
√
Where:
The values of are the eigenvalues of the system. If the quadratic formula discriminant, √
, is positive,
the matrix will have two distinct, real roots. If the discriminant is 0, the system has 1 real root. If the
discriminant is negative, the system will have two complex roots.
The eigenvalues are then plugged back into the eigensolution formula.
[
][ ]
[
]
This equation cannot be solved for a distinct value since it reduces to a homogeneous system. Instead, the
relationship of to is calculated. Expanding the matrix form into equation form:
Using the top equation, the value of
The corresponding value of
is replaced with 1 (for simplicity).
is therefore:
(
)
These values are then unitized to create the normalized eigenvector
√
√
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