Difference between revisions of "Dual basis"
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− | <font color = "blue">Base duale </font>(''Fr'') | + | <font color = "blue">Base duale </font>(''Fr''); <font color="black"> Base duale </font>(''It''); <font color="purple">双対基底</font> (''Ja''); <font color="orange">أساس مزدوج</font> (''Ar''). |
== Definition == | == Definition == |
Revision as of 09:15, 14 September 2017
Base duale (Fr); Base duale (It); 双対基底 (Ja); أساس مزدوج (Ar).
Definition
The dual basis is a basis associated to the basis of a vector space. In three-dimensional space, it is isomorphous to the basis of the reciprocal lattice. It is mathematically defined as follows.
Given a basis of n vectors ei spanning the direct space En, and a vector x = x i ei, let us consider the n quantities defined by the scalar products of x with the basis vectors, ei:
xi = x . ei = x j ej . ei = x j gji,
where the gji 's are the doubly covariant components of the metric tensor.
By solving these equations in terms of x j, one gets
x j = xi gij
where the matrix of the gij 's is inverse of that of the gij 's (gikgjk = δij). The development of vector x with respect to basis vectors ei can now also be written
x = x i ei = xi gij ej.
The set of n vectors ei = gij ej that span the space En forms a basis since vector x can be written
x = xi ei.
This basis is the dual basis and the n quantities xi defined above are the coordinates of x with respect to the dual basis. In a similar way one can express the direct basis vectors in terms of the dual basis vectors:
ei = gij ej.
The scalar products of the basis vectors of the dual and direct bases are
gij = ei . ej = gik ek . ej = gikgjk = δij.
One has therefore, since the matrices gik and gij are inverse,
gij = ei . ej = δij.
These relations show that the dual basis vectors satisfy the definition conditions of the reciprocal vectors. In a three-dimensional space the dual basis and the basis of reciprocal space are identical.
Change of basis
In a change of basis where the direct basis vectors and coordinates transform like
e'j = Aji ei; x'j = Bi j xi,
where Aji and Bi j are transformation matrices, transpose of one another, the dual basis vectors ei and the coordinates xi transform according to
e'j = Bi j ei; x'j = Ajixi.
The coordinates of a vector in reciprocal space are therefore covariant and the dual basis vectors (or reciprocal vectors) contravariant.
See also
- Metric tensor
- Reciprocal space
- The Reciprocal Lattice (Teaching Pamphlet No. 4 of the International Union of Crystallography)
- Chapter 1.1.2 of International Tables for Crystallography, Volume D