Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2019/iii/paper-339/2/c/i/solution

For an edge , put and . Since , we have .
The random normal has the isotropic Gaussian distribution . Its distribution is invariant under orthogonal transformations; if are linearly independent, its projection onto their plane has a uniformly distributed direction. The signs of its inner products with differ in two sectors of total angle , out of . Thus random hyperplane rounding gives
If , the signs differ with probability one and the same formula holds with . Zero inner products have probability zero, since each is a unit vector.
If the graph has an edge, its corresponding principal block of forces , so the division by used to obtain the Gram matrix is valid. An edgeless graph can instead be colored with one color directly.

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