Examples |
Examples |
* If a vector space over the real numbers, R, has an inner product, then it is a bilinear operator. * The application operator, b(f, v) = f(v) is a bilinear operator from V*xV. * Let f be a member of V* and g a member of W*. Then b(v, w) = f(v)g(w) is a bilinear operator. * In R2, assign to each two vectors the signed area of the parallelogram they define. |
One often thinks of a bilinear operator as a generalized "multiplication" which satisfies the [distributive law]?. * Matrix multiplication is a bilinear map M(m,n) x M(n,p) -> M(m,p). * If a vector space V over the real numbers R carries an inner product, then the inner product is a bilinear operator V x V -> R. * If V is a vector space with dual space V*, then the application operator, b(f, v) = f(v) is a bilinear operator from V*xV to the base field. * Let V and W be vector spaces over the same base field F. If f is a member of V* and g a member of W*, then b(v, w) = f(v)g(w) defines a bilinear operator V x W -> F. * The cross product in R3 is a bilinear operator R3 x R3 -> R3. |
* The operator B: VxW -> X where B(v, w) = 0 is bilinear |
* The operator B: VxW -> X where B(v, w) = 0 for all v in V and w in W is bilinear |
The definition works without any changes for modules over a commutative ring R and can easily be generalized to the multi-linear case.
For the case of a non-commutative base ring R and a right module MR and a left module RN, we can define a bilinear operator B: MxN -> T, where T is a commutative group, such that for any n in N, m |-> B(m, n) is a group homomorphism, and for any m in M, n |-> B(m, n) is a group homomorphism, and which also satisfies
for all m in M, n in N and r in R.
One often thinks of a bilinear operator as a generalized "multiplication" which satisfies the [distributive law]?.