Motzkin–Taussky Theorem
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The Motzkin–Taussky theorem is a result from
operator Operator may refer to: Mathematics * A symbol indicating a mathematical operation * Logical operator or logical connective in mathematical logic * Operator (mathematics), mapping that acts on elements of a space to produce elements of another sp ...
and
matrix theory In mathematics, a matrix (: matrices) is a rectangular array or table of numbers, symbols, or expressions, with elements or entries arranged in rows and columns, which is used to represent a mathematical object or property of such an object. ...
about the representation of a sum of two bounded,
linear operators In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that pr ...
(resp. matrices). The theorem was proven by
Theodore Motzkin Theodore Samuel Motzkin (; 26 March 1908 – 15 December 1970) was an Israeli- American mathematician. Biography Motzkin's father Leo Motzkin, a Ukrainian Jew, went to Berlin at the age of thirteen to study mathematics. He pursued university ...
and
Olga Taussky-Todd Olga Taussky-Todd (August 30, 1906 – October 7, 1995) was an Austrian and later Czech Americans, Czech-American mathematician. She published more than 300 research papers on algebraic number theory, integral matrices, and Matrix (mathematics), ...
. The theorem is used in
perturbation theory In mathematics and applied mathematics, perturbation theory comprises methods for finding an approximate solution to a problem, by starting from the exact solution of a related, simpler problem. A critical feature of the technique is a middle ...
, where e.g. operators of the form : T+xT_1 are examined.


Statement

Let X be a finite-dimensional complex
vector space In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
. Furthermore, let A,B\in B(X) be such that all
linear combinations In mathematics, a linear combination or superposition is an expression constructed from a set of terms by multiplying each term by a constant and adding the results (e.g. a linear combination of ''x'' and ''y'' would be any expression of the form ...
: T=\alpha A+\beta B are
diagonalizable In linear algebra, a square matrix A is called diagonalizable or non-defective if it is similar to a diagonal matrix. That is, if there exists an invertible matrix P and a diagonal matrix D such that . This is equivalent to (Such D are not ...
for all \alpha,\beta\in \C. Then all
eigenvalues In linear algebra, an eigenvector ( ) or characteristic vector is a vector that has its direction unchanged (or reversed) by a given linear transformation. More precisely, an eigenvector \mathbf v of a linear transformation T is scaled by a ...
of T are of the form : \lambda_=\alpha\lambda_ + \beta \lambda_ (i.e. they are linear in \alpha und \beta) and \lambda_,\lambda_ are independent of the choice of \alpha,\beta. Here \lambda_ stands for an eigenvalue of A.


Comments

* Motzkin and Taussky call the above property of the linearity of the eigenvalues in \alpha,\beta ''property L''.


Bibliography

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Notes

{{reflist Mathematical theorems Linear algebra Perturbation theory Linear operators