Projection of (x, y) ∈ F × F onto the line of slope θ: π_θ(x, y) = x + θ y.
This is the standard projection used throughout finite-field projection theory.
Instances For
For two distinct slopes θ₁ ≠ θ₂, the pair of projections
p ↦ (π_{θ₁}(p), π_{θ₂}(p)) is injective on F². This is the algebraic fact that
two non-parallel lines uniquely determine a point.
For distinct slopes, the pair-of-projections map F × F → F × F is a bijection;
follows from piSlope_pair_injective and equal cardinalities.
Counts the number of points p ∈ F² whose two projections π_{θ₁}(p) and
π_{θ₂}(p) lie in given sets A₁ and A₂. For distinct slopes, the bijectivity
of the joint projection gives |{p : π_{θ₁}(p) ∈ A₁ ∧ π_{θ₂}(p) ∈ A₂}| = |A₁| · |A₂|.
Every fiber of the projection π_θ : F² → F has cardinality |F| = q:
the line π_θ^{-1}(b) contains exactly |F| points.
Numerical bookkeeping step in the Fourier proof of Theorem 2.3. Given the
variance bound |X| · |D|² · (q - S)² ≤ S · |D| · q³ and 2S ≤ q, deduce the
projection bound |D| · |X| ≤ 4 S q. The factor of 4 comes from q ≤ 2(q - S).
The preimage π_θ^{-1}(A) ⊂ F² of a set A ⊂ F of "values" under the
direction-θ projection has cardinality |F| · |A| = q · |A|. Obtained by
disjointly unioning the fibers π_θ^{-1}(b) for b ∈ A.
Variance / second moment bound underlying the Fourier proof of Theorem 2.3. Let
f(x) = |{θ ∈ D : π_θ(x) ∈ π_θ(X)}| and M = ∑_{θ ∈ D} |π_θ(X)|. Then
$$|X| \cdot (q|D| - M)^2 \;\le\; q^3 \, M,$$
a consequence of the first and second moments of f over F² via Cauchy-Schwarz
(equivalently, an L² orthogonality / Parseval-type computation).
Theorem 2.3 (Fourier / orthogonality projection bound over 𝔽_q). If X ⊂ F²,
D ⊂ F, and S = max_{θ ∈ D} |π_θ(X)| satisfies 2S ≤ q = |F|, then
$$|D| \;\lesssim\; \frac{S q}{|X|},$$
explicitly |D| · |X| ≤ 4 S q. Proved by combining the variance bound
|X|(q|D| - M)² ≤ q³ M (with M = ∑_{θ ∈ D}|π_θ(X)| ≤ S|D|) with the numerical
inequality q ≤ 2(q - S).