Examples of 'its eigenvalues' in a sentence
Meaning of "its eigenvalues"
its eigenvalues - in mathematics, the eigenvalues of a matrix or operator are the set of scalars that satisfy a certain equation involving the matrix or operator
How to use "its eigenvalues" in a sentence
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its eigenvalues
If its eigenvalues are complex conjugate.
The trace of a square matrix is the sum of its eigenvalues.
All its eigenvalues are real.
Is positive semidenite if and only if all its eigenvalues are nonnegative.
Its eigenvalues are thus real and its own subspaces are orthogonal.
We investigate how perturbations of a graph can affect its eigenvalues.
Then its eigenvalues are.
A diagonal matrix is invertible if and only if its eigenvalues are nonzero.
Hence, its eigenvalues are real.
The product of its eigenvalues.
Also recall that the determinant of a matrix is the product of its eigenvalues.
Where and, and its eigenvalues are.
The determinant of the matrix equals the product of its eigenvalues.
This matrix is not Hermitian and its eigenvalues Λ are complex.
The trace of a rotation matrix will be equal to the sum of its eigenvalues.
See also
A Hermitian matrix is positive definite if all its eigenvalues are positive.
The spectral radius of a square matrix is the largest absolute value of its eigenvalues.
An idempotent matrix is always diagonalizable and its eigenvalues are either 0 or 1.
Similarly, the trace of the matrix equals the sum of its eigenvalues.
An Hermitian matrix is positive definite if all its eigenvalues are positive.
A symmetric matrix is positive-definite if and only if all its eigenvalues are positive.
If a walk-regular graph admits perfect state transfer, then all of its eigenvalues are integers.
Every real symmetric matrix is Hermitian, and therefore all its eigenvalues are real.
A is positive definite if and only if all of its eigenvalues are > 0.
Thus any projection has 0 and 1 for its eigenvalues.
M { \ displaystyle M } is negative definite if and only if all of its eigenvalues are negative.
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Examples of using Eigenvalues
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It is not known if the eigenvalues are irrational
Eigenvalues and eigenfunctions of an integral homogeneous equation
Eigenvectors of distinct eigenvalues of a normal matrix are orthogonal
