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physics Physics is the natural science that studies matter, its fundamental constituents, its motion and behavior through space and time, and the related entities of energy and force. "Physical science is that department of knowledge which r ...
and
mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, axiality and rhombicity are two characteristics of a
symmetric Symmetry (from grc, συμμετρία "agreement in dimensions, due proportion, arrangement") in everyday language refers to a sense of harmonious and beautiful proportion and balance. In mathematics, "symmetry" has a more precise definiti ...
second-rank
tensor In mathematics, a tensor is an algebraic object that describes a multilinear relationship between sets of algebraic objects related to a vector space. Tensors may map between different objects such as vectors, scalars, and even other tenso ...
in three-dimensional
Euclidean space Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, that is, in Euclid's Elements, Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics ther ...
, describing its directional asymmetry. Let ''A'' denote a second-rank tensor in R3, which can be represented by a 3-by-3
matrix Matrix most commonly refers to: * ''The Matrix'' (franchise), an American media franchise ** ''The Matrix'', a 1999 science-fiction action film ** "The Matrix", a fictional setting, a virtual reality environment, within ''The Matrix'' (franchis ...
. We assume that ''A'' is symmetric. This implies that ''A'' has three real
eigenvalue In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denoted b ...
s, which we denote by A_, A_ and A_. We assume that they are ordered such that :A_ \le A_ \le A_. The axiality of ''A'' is defined by : \Delta A =2 A_-(A_+A_). \, The rhombicity is the difference between the smallest and the second-smallest eigenvalue: : \delta A = A_-A_. \, Other definitions of axiality and rhombicity differ from the ones given above by constant factors which depend on the context. For example, when using them as parameters in the irreducible spherical tensor expansion, it is most convenient to divide the above definition of axiality by and that of rhombicity by .


Applications

The description of physical interactions in terms of axiality and rhombicity is frequently encountered in
spin Spin or spinning most often refers to: * Spinning (textiles), the creation of yarn or thread by twisting fibers together, traditionally by hand spinning * Spin, the rotation of an object around a central axis * Spin (propaganda), an intentionally b ...
dynamics and, in particular, in
spin Spin or spinning most often refers to: * Spinning (textiles), the creation of yarn or thread by twisting fibers together, traditionally by hand spinning * Spin, the rotation of an object around a central axis * Spin (propaganda), an intentionally b ...
relaxation theory, where many traceless bilinear interaction Hamiltonians, having the (eigenframe) form : \hat H = \hat\vec\mathbf\cdot\mathbf\cdot\hat\vec\mathbf = A_ \hat a_ \hat b_ + A_ \hat a_ \hat b_ + A_ \hat a_ \hat b_ (hats denote spin projection operators) may be conveniently rotated using rank 2 irreducible spherical tensor operators: : \hat\vec\mathbf\cdot\mathbf\cdot\hat\vec\mathbf = \frac \hat T_ + \frac \hat T_ + \frac \hat T_ : \hat \hat R_ (\hat T_) = \sum_^2 \hat T_ \mathfrak_^(\alpha,\beta,\gamma) where \mathfrak_^(\alpha,\beta,\gamma) are Wigner functions, (\alpha,\beta,\gamma) are Euler angles, and the expressions for the rank 2 irreducible spherical tensor operators are: : \hat T_ = + \frac \hat a_ \hat b_ : \hat T_ = - \frac( \hat a_ \hat b_ + \hat a_ \hat b_ ) : \hat T_ = + \sqrt( \hat a_ \hat b_ - \frac( \hat a_ \hat b_ + \hat a_ \hat b_) ) : \hat T_ = + \frac( \hat a_ \hat b_ + \hat a_ \hat b_ ) : \hat T_ = + \frac \hat a_ \hat b_{-} Defining Hamiltonian rotations in this way (axiality, rhombicity, three angles) significantly simplifies calculations, since the properties of Wigner functions are well understood.


References

: D.M. Brink and G.R. Satchler, Angular momentum, 3rd edition, 1993, Oxford: Clarendon Press. : D.A. Varshalovich, A.N. Moskalev, V.K. Khersonski, Quantum theory of angular momentum: irreducible tensors, spherical harmonics, vector coupling coefficients, 3nj symbols, 1988, Singapore: World Scientific Publications. : I. Kuprov, N. Wagner-Rundell, P.J. Hore, J. Magn. Reson., 2007 (184) 196-206
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Tensors