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K41
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What is an eigenframe?
andrewkirk said:I've never heard of an Eigenframe and neither, apparently, has Google or DuckDuckGo.
However, there's a fairly natural guess we can make. If a linear operator L on a n-dimensional vector space V is non-degenerate, it will have n orthonormal eigenvectors. These form a nice orthonormal basis for V, and bases can be called 'frames'.
If we are concerned with a differentiable manifold rather than just a single vector space then a (1 1) tensor field T on the manifold can be interpreted as a field of linear operators on the tangent bundle. There will be a unique coordinate frame field whose coordinate directions at any point are those of the eigenvectors of the tensor (qua linear operator) at that point. It would make sense to call that coordinate frame field an 'eigenframe' pf the tensor field T.
fresh_42 said:I've found a few occurrences, however no definition. Maybe you could read more out of its applications than I can.
Density matrices:
https://books.google.de/books?id=o0...l5DFoQ6AEIOTAG#v=onepage&q=eigenframe&f=false
Spin:
http://easyspin.org/documentation/hamiltonian.html
https://en.wikipedia.org/wiki/Axiality_and_rhombicity
djpailo said:I don't understand any of this.
The Bill said:If you don't understand "any of this," which includes eigenvectors, then you haven't studied linear algebra enough to have the prerequisites for tensor analysis.
Also, after you learn linear algebra, you might want to study a more general introductory fluid mechanics text before going back to this one which specializes in turbulence.
An eigenframe is a set of orthonormal vectors that are used to describe the orientation of a coordinate system. It is also known as a set of eigenvectors.
An eigenframe is defined by a set of eigenvectors that correspond to the eigenvalues of a matrix. The eigenvectors are arranged in a specific order to form the frame.
An eigenframe is important because it allows us to simplify and analyze complex systems by breaking them down into smaller components. It also helps us understand the orientation and transformation of objects in 3D space.
An eigenframe is used in various scientific fields such as physics, engineering, and computer graphics. It is used to represent the orientation and transformation of objects, analyze vibrations and deformations, and solve differential equations.
Yes, an eigenframe can be calculated for any square matrix. However, the matrix must have distinct eigenvalues for the eigenframe to be unique.