434 Tensor s
DEFINITION 16.1 (Contravariant coordinates of a vector) The contravariant
coordinates of a vector u are the unique elements (u
µ
)
µ
in K such that
u =
n
P
µ=1
u
µ
e
µ
= u
1
e
1
+ ···+ u
n
e
n
.
The contravariant coordinates are th erefore the “usual coordinates” of linear
algebra.
Remark 16.2 Obviously, for a given vector u, the µ-th coordinate depends not only on the
vector e
µ
, but also on all other vectors of the chosen basis.
Remark 16.3 From the poi nt of view of a physicist, what quantities may be modeled by a
vector? If working in R
3
, a vector is not simply “a triplet of real numbers”; rather, it possesses
an additional property, related to changes of reference frame: if an observer performs a rotation,
the basis vectors turn also, and all triplets that are called “vectors” are transformed in a uniform
manner. A triplet “(temperature, pressure, density),” for instance, does not transform in the
same way, since each component is invariant under rotations (they are scalars).
In what manner a re the coordinates of a vector transformed during a
change of basis? Let B
′
= (e
′
µ
)
µ
denote another basis of E . We write L the
matrix for the cha nge of basis from B to B
′
, that is, t he matrix where the µ- th
column represents the vector e
′
µ
, as expressed in coordinates in the basis B
(see Appendix C). Writing this matrix L = (L
ν
µ
)
νµ
, where ν is the line index
and µ the column index , it follows that for all µ ∈ [[1, n]] we have
e
′
µ
=
n
P
ν=1
L
ν
µ
e
ν
. (16.1)
The left index in L
ν
µ
is the row index, and the right index is the column index.
For reasons which will become clearer later on, the first index is indicated in
superscript and the second in sub script. Symbolically, we write
1
B
′
= L B.
Let Λ
def
= L
−1
be the inverse matrix L, i.e., the unique matrix wit h coeffi-
cients (Λ
µ
ν
)
µν
that satisfies
n
P
ν=1
L
µ
ν
Λ
ν
ρ
=
n
P
ν=1
Λ
µ
ν
L
ν
ρ
= δ
µ
ρ
for all µ, ν ∈ [[1, n]]. The vectors of B can be expressed as functions of th ose
of B
′
by means of the matrix Λ:
1
Note that this is not a matrix relation. However, one can formally build a line vector with
the e
µ
’s and write
(e
′
1
, . . . , e
′
n
) = (e
1
, . . . , e
n
) · L.