#DAMMIT MOM COMIC SOFTWARE#

#DAMMIT MOM COMIC SOFTWARE#

Eigenvectors are sometimes used in facial-recognition software to match 2 faces. This is a somewhat logical mathematical connection to make as eigenvectors, unchanged properties of mathematical matrices that may allow for mathematical identification of the changed matrix, correspond to the unchangeable property of the shoe (size) that allowed the prince to correctly identify the owner of the shoe even after the shoe was misplaced.

Megan says that the way she learned it, the prince used an eigenvector and corresponding eigenvalue to match the shoe to its owner. The prince then uses the shoe to find Cinderella. The story of Cinderella includes Cinderella going to a ball in disguise, dancing with a prince and then leaving early and quickly, so that she accidentally leaves a glass slipper behind. The concept of an eigenvector has nothing to do with the fairy tale Cinderella therefore Megan confuses Cueball when she asks whether it occurred in the story of Cinderella.

The prefix 'eigen-' applied to the term is adopted from the German word eigen for 'self-' or 'unique to', 'peculiar to', or 'belonging to.' As the eigenvector remains unchanged through the transformation of the matrix it can be used to describe something unique about that matrix. An eigenvector refers to elements of the vector space of the matrix which remain unchanged (except possibly being scaled to be longer or shorter) after the transformation is applied. These transformations can include rotation, movement and scaling of the object described by the matrix. The most important issue to the understanding of the comic is that a matrix can be transformed through various processes. In pure mathematics they can be much more complex. A matrix is mostly displayed as an rectangular array of elements used to describe the state of objects in physics. Title text: Goldilocks' discovery of Newton's method for approximation required surprisingly few changes.Įigenvectors are a mathematical concepts that can be applied to a matrix.

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