Difference between revisions of "Metric tensor"
From Online Dictionary of Crystallography
m (Add explanation of what a metric tensor is making it clear the definition is for a restricted case; add common crystallographic presentations as 2 rows of 3 or as a G6 vector. remove stray comma.)
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<Font color="blue">Tenseur métrique </Font>(''Fr''); <Font color="black"> Tensore metrico </Font>(''It''); <Font color="purple">計量テンソル</Font> (''Ja'').
<Font color="blue">Tenseur métrique</Font> (''Fr''); <Font color="black">Tensore metrico</Font> (''It''); <Font color="purple">計量テンソル</Font> (''Ja'').
== Definition ==
== Definition ==
Revision as of 22:36, 26 November 2016
Tenseur métrique (Fr); Metrischer Tensor (Ge); Tensor métrico (SP); Tensore metrico (It); Метрический тензор (Ru); 計量テンソル (Ja).
A metric tensor is used to measure distances in a space. In crystallography the spaces considered are vector spaces with Euclidean metrics, i.e. ones for which the rules of Euclidean geometry apply. In that case, given a basis ei of a Euclidean space, En, the metric tensor is a rank 2 tensor the components of which are:
gij = ei . ej = ej.ei = gji.
It is a symmetrical tensor. Using the metric tensor, the scalar product of two vectors, x = xi ei and y = yj ej is written:
x . y = xi ei . yj ej = gij xi yj.
In a three-dimensional space with basis vectors a, b, c, the coefficients gij of the metric tensor are:
g11 = a2; g12 = a . b; g13 = a . c;
g21 = b . a; g22 = b2; g23 = b . c;
g31 = c . a; g32 = c . b; g33 = c2;
Because the metric tensor is symmetric, g12 = g21, g13 = g31, and g13 = g31. Thus there are only six unique elements, often presented as
g11 g22 g33
g23 g13 g12
or, multiplying the second row by 2, as a so-called G6 ("G" for Gruber) vector
( a2, b2, c2, 2 b . c, 2 a . c, 2 a . b )
The inverse matrix of gij, gij, (gikgkj = δkj, Kronecker symbol, = 0 if i ≠ j, = 1 if i = j) relates the dual basis, or reciprocal space vectors ei to the direct basis vectors ei through the relations:
ej = gij ej
In three-dimensional space, the dual basis vectors are identical to the reciprocal space vectors and the components of gij are:
g11 = a*2; g12 = a* . b*; g13 = a* . c*;
g21 = b* . a*; g22 = b*2; g23 = b* . c*;
g31 = c* . a*; g32 = c* . b*; g33 = c*2;
g11 = b2c2 sin2 α/ V2; g22 = c2a2 sin2 β/ V2; g33 = a2b2 sin2 γ/ V2;
g12 = g21 = (abc2/ V2)(cos α cos β - cos γ); g23 = g32 = (a2bc/ V2)(cos β cos γ - cos α); g31 = g13 = (ab2c/ V2)(cos γ cos α - cos β)
where V is the volume of the unit cell (a, b, c).
Change of basis
In a change of basis the direct basis vectors and coordinates transform like:
e'j = Aj i ei; x'j = Bi j x i,
where Aj i and Bi j are transformation matrices, transpose of one another. According to their definition, the components gij, of the metric tensor transform like products of basis vectors:
g'kl = AkiAljgij.
They are the doubly covariant components of the metric tensor.
The dual basis vectors and coordinates transform in the change of basis according to:
e'j = Bi j ei; x'j = Aj ixi,
and the components gij transform like products of dual basis vectors:
g'kl = Aik Ajl gij.
They are the doubly contravariant components of the metric tensor.
The mixed components, gij = δij, are once covariant and once contravariant and are invariant.
Properties of the metric tensor
- The tensor nature of the metric tensor is demonstrated by the behaviour of its components in a change of basis. The components gij and gij are the components of a unique tensor.
- The squares of the volumes V and V* of the direct space and reciprocal space unit cells are respectively equal to the determinants of the gij 's and the gij 's:
V 2 = Δ (gij) = abc(1 - cos 2 α - cos 2 β - cos2 γ + 2 cos α cos α cos α)
V*2 = Δ (gij) = 1/ V 2.
- One changes the variance of a tensor by taking the contracted tensor product of the tensor by the suitable form of the metric tensor. For instance:
gimt ij..kl.. = t j..klm..
Multiplying by the doubly covariant form of the metric tensor increases the covariance by one, multiplying by the doubly contravariant form increases the contravariance by one.
- dual basis
- reciprocal space
- Metric Tensor and Symmetry Operations in Crystallography (Teaching Pamphlet of the International Union of Crystallography)
- Section 1.1.3 of International Tables of Crystallography, Volume B
- Section 1.1.2 of International Tables of Crystallography, Volume D