For vectors , the scalar product, cross product and scalar triple product are respectively
Expanding the dot product gives
Interchanging and changes the sign of their cross product, so its dot product with is also zero. Thus the cross product is orthogonal to both vectors, including when it is the zero vector.
The displayed scalar triple product is a determinant. A square matrix has nonzero determinant exactly when its rows are linearly independent. Hence
Subtracting the first row from the other two in the determinant gives
This vanishes exactly when the two displacements and are linearly dependent. If , that means for some real number . Thus all three points lie on the line
Conversely, putting three points on any one line makes their displacements linearly dependent, so the determinant vanishes.
The equivalence remains true without distinctness. If exactly two points coincide, the two distinct locations determine a line containing all three, and two rows of the original determinant coincide. If all three points coincide, any line through that point works and the determinant is again zero. Existence persists, although uniqueness of the line can fail.
The value is twice the signed area of the triangle traversed in that order; it is positive for counterclockwise orientation. Choose points on the parabola
For , subtracting the first row in the determinant and factoring gives
Each of the three factors is positive, proving the required property for every integer .

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