A bilinear form on a vector space over a field is a map that is linear in each argument separately.
A symmetric real bilinear form is positive-definite when for every nonzero vector. It defines an inner product and the associated norm . The complex Killing form is not positive-definite on the entire complex Cartan subalgebra; its restriction to the Euclidean subspace of a Cartan subalgebra is a real positive-definite form.
A bilinear form is alternating if for every vector . Expanding implies . The converse requires characteristic different from two. In that characteristic a skew-symmetric matrix of odd integer size has zero determinant, since . Thus an alternating form on a finite odd-dimensional vector space is degenerate. A nondegenerate alternating form defines a symplectic vector space.
A scalar-valued map is bilinear when it is linear in either argument with the other held fixed. A bilinear form is the case . Checking bilinearity is one of the algebraic steps in verifying a real inner product; being a symmetric bilinear form and having positive squared norm impose further conditions.
A bilinear form is symmetric when for every pair of vectors .
A bilinear form on a normed vector space is bounded when some satisfies for all .
A bilinear form on a normed vector space is continuous exactly when it is bounded. For the nontrivial direction, continuity at gives such that whenever and ; scaling nonzero into these balls gives .
A bilinear form on a normed vector space is coercive when some satisfies for every .
A bilinear form is degenerate when its radical contains a nonzero vector.
The radical of a symmetric bilinear form is
The form is nondegenerate exactly when its radical is zero.
A bilinear form on a finite-dimensional vector space is nondegenerate when
equivalently when is an isomorphism from to its dual space.
A symplectic vector space is a vector space equipped with a nondegenerate antisymmetric bilinear form. Every finite-dimensional symplectic vector space has even dimension: splitting off one symplectic two-plane leaves a smaller nondegenerate antisymmetric space, and induction completes the decomposition.
If preserves a nondegenerate bilinear form that is alternating and satisfies on a finite-dimensional vector space over a field of characteristic different from two, then
The two eigenspaces are orthogonal for , since . Each restricted form is nondegenerate: a vector annihilating its own eigenspace also annihilates the other and hence all of . Both dimensions are even, say and . Consequently as an integer obtained from the eigenspace dimensions. Over the real numbers this gives the congruence .
The symplectic orthogonal complement of a subspace is . The nondegenerate bilinear form gives . An isotropic subspace of a symplectic vector space satisfies ; a Lagrangian subspace satisfies equality.
A subspace of a symplectic vector space is isotropic when . It has at most half the dimension of ; equality makes it a Lagrangian subspace. This use of isotropic concerns an alternating bilinear form, rather than an isotropic quadratic form.
A symplectic basis has pairings and all pairings between two or two equal to zero.
If is a nondegenerate bilinear form on a finite-dimensional vector space and is any bilinear form, there is a unique linear map such that
The right radical of is .
The inertia of a real symmetric bilinear form is the triple giving the numbers of positive, negative, and zero squares in a diagonalization. Sylvester's law of inertia makes it independent of the chosen basis.
For a real symmetric bilinear form, let and be the dimensions of its positive and negative diagonal subspaces. This pair gives the first two components of the inertia of a bilinear form and is independent of basis by the Sylvester's law of inertia. For a nondegenerate form their sum is the full dimension; otherwise the nullity is an additional invariant. Another convention calls the difference the signature of a quadratic form. The pair convention describes the positive and negative harmonic spaces of the real de Rham intersection form in dimension four.

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A bilinear form is a mathematical function that is bilinear in nature, meaning it is linear in each of its arguments when the other is held fixed.
Bilinear form by Ciro Santilli 40 Updated 2025-07-16
Analogous to a linear form, a bilinear form is a Bilinear map where the image is the underlying field of the vector space, e.g. .
Some definitions require both of the input spaces to be the same, e.g. , but it doesn't make much different in general.
The most important example of a bilinear form is the dot product. It is only defined if both the input spaces are the same.