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Example Questions
Example Question #521 : Linear Algebra
where and is a diagonally dominant matrix. Note that every nondiagonal element is the same value
Give a necessary and sufficient condition for the four Gershgorin discs of to be mutually disjoint.
A Gershgorin disc (or circle) for a diagonally dominant matrix is a closed circle in the complex plane with one of the diagonal entries as a center. The radius of that particular Gershgorin circle is the sum of the absolute values in the same row as this diagonal element.
The four Gershgorin circles of have their centers at , 13, 22, and 30 on the complex plane (and, specifically, on the real axis). The radius of each of the circles is ; for the circles to be mutually disjoint, the distance between their centers must be greater than .
The least distance between any two diagonal elements is , so
,
or
.
is a necessary and sufficient condition for no two of the Gershgorin discs to intersect.
Example Question #64 : Eigenvalues And Eigenvectors
A matrix has as its set of eigenvalues.
Calculate .
The determinant of a matrix is equal to the product of its eigenvalues, so
Example Question #65 : Eigenvalues And Eigenvectors
A matrix has as its set of eigenvalues.
Give the trace of .
The trace of a matrix is equal to the sum of its eigenvalues, so
Example Question #62 : Eigenvalues And Eigenvectors
The characteristic equation of a matrix is
Give the trace of .
The trace of a matrix is equal to the sum of the eigenvalues of the matrix. Since the characteristic equation has degree five, the matrix has five (not necessarily distinct) eigenvalues. If are the eigenvalues of the matrix, then its characteristic equation is
When expanded, the coefficient of its degree-four term is. The degree-four term in the characteristic polynomial is "missing", so the implied coefficient is 0.
It follows that the sum of the eigenvalues is 0, and that, consequently, .
Example Question #67 : Eigenvalues And Eigenvectors
The characteristic equation of a matrix is
Give the determinant of .
The determinant of a matrix is equal to the product of the eigenvalues of the matrix. Since the characteristic equation has degree five, the matrix has five (not necessarily distinct) eigenvalues. If are the eigenvalues of the matrix, then its characteristic equation is
When expanded, this polynomial has constant term . It follows that the product of the eigenvalues is , and that, consequently, .
Example Question #68 : Eigenvalues And Eigenvectors
The characteristic equation of a matrix is
Which statement must be true?
None of the other statements need be true.
The determinant of a matrix is equal to the product of the eigenvalues of the matrix. Since the characteristic equation has degree four, the matrix has four (not necessarily distinct) eigenvalues. If are the eigenvalues of the matrix, then its characteristic equation is
When expanded, this polynomial has constant term . It follows that the product of the eigenvalues is , and that, consequently, .
Example Question #69 : Eigenvalues And Eigenvectors
Consider the diagonally dominant matrix
Give the radius of the Gershgorin disc with center 20.
A Gershgorin disc for a diagonally dominant matrix is a circle in the complex plane with one of the diagonal entries as a center. The radius of the disc corresponding to that diagonal entry is the sum of the absolute values of the entries in the same row.
Observe the elements on the second row, whose diagonal element is 20.
The sum of the absolute values other elements in that row - and the radius of the Gershgorin disc with its center at 20 - is
.
Example Question #70 : Eigenvalues And Eigenvectors
A matrix has as its set of eigenvalues.
Give the set of eigenvalues of .
If is nonsingular, the set of eigenvalues of is exactly the set of reciprocals of eigenvalues of . The eigenvalues of are , so the eigenvalues of these numbers are the reciprocals of these. The reciprocal of is
.
Similarly,
The set of eigenvalues of is .
Example Question #451 : Operations And Properties
is an involutory matrix.
True, false, or indeterminate: 0 is an eigenvalue of .
True
Indeterminate
False
False
An eigenvalue of an involutory matrix must be either 1 or . This can be seen as follows:
Let be an eigenvalue of involutory matrix . Then for some eigenvector ,
Premultiply both sides by :
By definition, an involutory matrix has as its square, so
By transitivity,
Thus, , or
It follows that . The statement is false.
Example Question #452 : Operations And Properties
The trace of a singular matrix is 12. Give its set of eigenvalues.
Insufficient information is given to answer the question.
, being a singular matrix, must have 0 as an eigenvalue. Let be its other eigenvalue..
The trace of a matrix is equal to the sum of its eigenvalues, so
,
and
The set of eigenvalues of is .
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