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In linear algebra, similarity invariance is a property exhibited by a function whose value is unchanged under similarities of its domain. That is, ${\displaystyle f}$ is invariant under similarities if ${\displaystyle f(A)=f(B^{-1}AB)}$ where ${\displaystyle B^{-1}AB}$ is a matrix similar to A. Examples of such functions include the trace, determinant, characteristic polynomial, and the minimal polynomial.

A more colloquial phrase that means the same thing as similarity invariance is "basis independence", since a matrix can be regarded as a linear operator, written in a certain basis, and the same operator in a new basis is related to one in the old basis by the conjugation ${\displaystyle B^{-1}AB}$, where ${\displaystyle B}$ is the transformation matrix to the new basis.

See also

• Invariant (mathematics)
• Gauge invariance
• Trace diagram

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