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.
As usual, it is useful to think about how a bilinear form looks like in terms of vectors and matrices.
Unlike a linear form, which was a vector, because it has two inputs, the bilinear form is represented by a matrix which encodes the value for each possible pair of basis vectors.
If is the change of basis matrix, then the matrix representation of a bilinear form that looked like:then the matrix in the new basis is:Sylvester's law of inertia then tells us that the number of positive, negative and 0 eigenvalues of both of those matrices is the same.
Proof: the value of a given bilinear form cannot change due to a change of basis, since the bilinear form is just a function, and does not depend on the choice of basis. The only thing that change is the matrix representation of the form. Therefore, we must have:and in the new basis:and so since:
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A bilinear form takes two vectors in a vector space over a field and returns a scalar in . Its defining property is separate linearity: holding either input fixed gives a linear functional of the other. For scalars and vectors ,This is a scalar-valued bilinear map; the chosen field is part of the definition.[ref]
Separate linearity does not mean that is a linear map on the vector space with componentwise vector addition and scalar multiplication. Over the real numbers, , whereas a linear map on the pair would give . The simplest example is on the one-dimensional vector space : fixing gives , but doubling both and quadruples their product.
A bilinear form measures how two inputs interact. The dot product measures alignment; a symmetric bilinear form can describe a quadratic form; an alternating bilinear form can measure signed area. A nondegenerate bilinear form turns each vector into a unique linear functional and so connects geometry with the dual space. The same short definition therefore supports lengths, bilinear orthogonal complements, and symplectic vector spaces, depending on the additional properties imposed.
Over the complex numbers, a bilinear form is linear in both inputs without conjugating either scalar. A Hermitian form instead is a sesquilinear form and conjugates when its inputs are exchanged. For complex matrices, the adjoint used with Hermitian forms and matrix C-star algebras is the conjugate transpose, whereas a bilinear form uses the ordinary transpose . For example, has , while the Hermitian form has .[ref]
Bilinear Forms by Keith Conrad. §1: examples and the Hermitian distinction
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.