The lecture connects the cross product’s determinant formula to its geometric meaning using linear transformations and duality.
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The lecture revisits the 3D cross product: its length is the area of the parallelogram spanned by two vectors, and its direction is perpendicular to both, with orientation set by the right-hand rule. To explain why the familiar determinant computation produces a vector with these properties, the speaker uses duality: every linear transformation from a vector space to the number line can be represented as a dot product with a corresponding vector.
Fix vectors v and w, and define a function of a third vector x by taking the determinant of the matrix with columns x, v, and w. This function is linear, and geometrically it gives the signed volume of the parallelepiped formed by the three vectors. By duality, the function equals the dot product of x with a particular vector p. Expanding the determinant identifies the coordinates of p with the coefficients produced by the usual cross-product calculation.
Geometrically, the signed volume is the area of the parallelogram formed by v and w multiplied by the component of x perpendicular to that parallelogram. Therefore p must be perpendicular to v and w and have length equal to their parallelogram’s area; its orientation accounts for the sign. The computational and geometric descriptions are thus two ways of finding the same dual vector, namely the cross product.
Correct answer: A. Exchanging the vectors preserves the parallelogram’s area and the perpendicular line, but reverses the order used by the right-hand rule, so the oriented direction flips.
Correct answer: B. The coefficients of the one-row matrix, arranged as a vector, give a dot-product representation of the linear map.
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