Apply the polynomial method in combinatorics to the finite-field Kakeya set . We will actually obtain the stronger estimateLet be the vector space over the prime field of multivariate polynomials in variables of total degree of a polynomial at most . By the dimension of a bounded-total-degree polynomial space, its monomial basis consists of with and . Adding a slack exponent gives nonnegative exponents summing to ; the stars and bars count shows thatIf , the evaluation linear map has a nonzero element in its kernel of a linear map. Thus there is a nonzero polynomial of total degree of a polynomial vanishing at every point of . Its degree cannot be zero, since contains a line and is nonempty. Write for its nonzero top homogeneous polynomial part.
For every nonzero , the directional hypothesis supplies an affine line in a vector spaceDirections are one-dimensional vector subspaces; rescaling a representative does not change this line. The univariate polynomial has degree at most and vanishes for all values of . The root bound for a polynomial makes it the zero polynomial. Its coefficient of is exactly , so for every nonzero . Because , too.
To finish, we prove the relevant polynomial nonvanishing below the field size. A polynomial over of degree at most in each variable cannot vanish on all of unless it is zero. Induct on . The one-variable case is the root bound for a polynomial. For more variables, writeFixing the first coordinates gives a univariate polynomial with roots of a polynomial, so all its coefficients are zero. Hence every vanishes on , and the induction hypothesis makes every zero. Applying this to , whose total degree of a polynomial is less than , contradicts its choice as nonzero.
Therefore . Finally,which proves the requested lower bound. The crucial observation in the finite-field Kakeya polynomial bound is that complete lines force the highest homogeneous polynomial part to vanish in every direction.
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