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Bilinearform

A bilinear form on a vector space V over a field F is a function B: V × V → F that is linear in each argument. That is, for all u, v, w in V and a in F, B(u+v, w) = B(u, w) + B(v, w), B(au, v) = a B(u, v), and similarly linear in the second argument: B(u, v+w) = B(u, v) + B(u, w), B(u, av) = a B(u, v). The study of bilinear forms often emphasizes symmetry, nondegeneracy, and how the form changes under a change of basis.

With respect to a basis, a bilinear form is represented by a matrix A such that B(u,

Special classes include symmetric bilinear forms, where B(u, v) = B(v, u); and alternating (or skew-symmetric) forms,

Examples include the standard dot product on R^n, B(u, v) = u^T v, which is symmetric and positive

v)
=
u^T
A
v,
where
u
and
v
are
the
coordinate
column
vectors
of
the
vectors
in
V.
A
is
symmetric
if
B(u,
v)
=
B(v,
u)
for
all
u,
v;
A
is
symmetric
in
that
case.
In
general,
changing
the
basis
changes
A
by
a
congruence
transformation
A
↦
P^T
A
P.
where
B(v,
v)
=
0
for
all
v
(in
characteristic
not
2,
alternating
implies
skew-symmetric).
A
bilinear
form
is
nondegenerate
if
the
only
vector
v
with
B(v,
w)
=
0
for
all
w
is
v
=
0;
equivalently,
its
Gram
matrix
has
nonzero
determinant.
definite;
and,
on
R^2,
the
alternating
form
B((x1,
y1),
(x2,
y2))
=
x1
y2
−
y1
x2,
which
is
skew-symmetric
and
nondegenerate.
Bilinear
forms
underpin
the
theory
of
quadratic
forms,
classification
up
to
change
of
basis,
and
constructions
in
geometry
and
physics,
including
symplectic
and
metric
structures.