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Bilinear Forms

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Definition of a Bilinear Form

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A bilinear form on a vector space is a function that is linear in each of its two arguments. Given a vector space V over a field F, a bilinear form is a map B:V×VFB: V \times V \rightarrow F such that for all u,v,wVu, v, w \in V and aFa \in F, B(u+v,w)=B(u,w)+B(v,w)B(u+v, w) = B(u, w) + B(v, w) and B(au,v)=aB(u,v)B(au, v) = aB(u, v).

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Symmetric Bilinear Form

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A bilinear form BB is symmetric if B(v,w)=B(w,v)B(v, w) = B(w, v) for all v,wVv, w \in V. Example: The dot product on Rn\mathbb{R}^n, where B(v,w)=vwB(v, w) = v \cdot w.

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Alternating Bilinear Form

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A bilinear form BB is alternating if B(v,v)=0B(v, v) = 0 for all vVv \in V. Example: The determinant of a 2×22 \times 2 matrix when considering the standard bilinear form on R2\mathbb{R}^2.

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Skew-Symmetric Bilinear Form

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A bilinear form BB is skew-symmetric if B(v,w)=B(w,v)B(v, w) = -B(w, v) for all v,wVv, w \in V. Example: The standard symplectic form on R2n\mathbb{R}^{2n}.

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Matrix Representation of Bilinear Forms

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A bilinear form BB can be represented by a matrix MM such that B(v,w)=vTMwB(v, w) = v^T M w for column vectors v,wv, w. Example: The matrix representing the dot product in Rn\mathbb{R}^n is the identity matrix InI_n.

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Change of Basis for Bilinear Forms

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Under a change of basis by an invertible matrix PP, a bilinear form with matrix MM transforms to M=PTMPM' = P^T M P. Example: Changing from the standard basis to another orthonormal basis in Rn\mathbb{R}^n does not change the matrix for the dot product.

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Rank of a Bilinear Form

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The rank of a bilinear form is the rank of its matrix representation. It represents the maximal number of linearly independent columns (or rows).

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Nondegenerate Bilinear Form

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A bilinear form is nondegenerate if the only vector vv that satisfies B(v,w)=0B(v, w) = 0 for all wVw \in V is the zero vector. Example: The dot product in Rn\mathbb{R}^n is nondegenerate.

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Signature of a Bilinear Form

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The signature of a bilinear form is the pair of integers (p,q)(p, q), counting the numbers of positive and negative eigenvalues of the associated matrix. Example: The signature of the Minkowski space-time metric is (3,1)(3,1).

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Kernel of a Bilinear Form

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The kernel of a bilinear form BB is the set of vectors vv such that B(v,w)=0B(v, w) = 0 for all wVw \in V. For nondegenerate forms, the kernel is trivial, containing only the zero vector.

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Orthogonality in Bilinear Forms

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Two vectors vv and ww are orthogonal with respect to a bilinear form BB if B(v,w)=0B(v, w) = 0. Example: In Euclidean space with the dot product, perpendicular vectors are orthogonal.

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Positive Definite Bilinear Form

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A bilinear form BB is positive definite if B(v,v)>0B(v, v) > 0 for all nonzero vectors vVv \in V. Example: The dot product on Rn\mathbb{R}^n is positive definite.

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Induced Norm from a Bilinear Form

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A norm can be induced from a positive definite bilinear form BB by defining v=B(v,v)||v|| = \sqrt{B(v, v)}. Example: The standard Euclidean norm arises from the dot product.

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Coercivity of a Bilinear Form

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A bilinear form BB is coercive if there exists α>0\alpha > 0 such that B(v,v)αv2B(v, v) \geq \alpha ||v||^2 for all vVv \in V. This implies that BB is bounded below by a positive constant times the square of the norm.

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Bilinear Form Associated Quadratic Form

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A quadratic form QQ associated with a bilinear form BB is given by Q(v)=B(v,v)Q(v) = B(v, v). Example: The function Q(v)=v12+v22Q(v) = v_1^2 + v_2^2 for vR2v \in \mathbb{R}^2 is the quadratic form associated with the standard dot product.

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