Nilpotent Matrix
Definition1
For a matrix , if there exists a positive integer that satisfies , then we call a nilpotent matrix. In this case, is the zero matrix of .
Explanation
“Nil” means ‘zero’ or ’none.’ “Potent” means ‘powerful,’ and is the root of the word “potential.” Therefore, the term “nilpotent” can be understood as ‘having the potential/power to become .’ In mathematics, ‘冪’ denotes exponentiation and ‘零’ denotes the number . Thus, the word “nilpotent” literally means ‘becoming zero upon exponentiation.’
Theorems
- [1]: A square upper triangular matrix is nilpotent. (The converse is not true)
- [2]: A square matrix where all the eigenvalues are is equivalent to being a nilpotent matrix.
- Therefore, a nilpotent matrix does not have an inverse matrix.
- [3]: The trace of a nilpotent matrix is .
Proof
[1]
Shown by mathematical induction.
[2]
Since is a square matrix, a Schur decomposition exists, and it can be represented as using some unitary matrix and upper triangular matrix . Given that all eigenvalues of are , is an upper triangular matrix with all diagonal elements equal to . Since an upper triangular matrix is nilpotent, is nilpotent for some such that . Consequently, is also nilpotent since holds for at least .
Let us represent the zero vector as . For some eigenvalue of the nilpotent matrix and its corresponding eigenvector , we can set it equal to . By repeatedly multiplying both sides by , the following holds for . Since this must hold for all eigenvectors , all eigenvalues of must be .
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[3]
Proof omitted4.
See Also
Stephen H. Friedberg, Linear Algebra (4th Edition, 2002), p229 ↩︎