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On the Smith-Thom deficiency of Hilbert squares

Viatcheslav Kharlamov, Rareş Răsdeaconu

TL;DR

This work establishes a concrete framework to compute the Smith-Thom deficiency of Hilbert squares X^{[2]} of real varieties X, tying maximality to the ranks of Mayer-Vietoris restriction maps. For real nonsingular projective complete intersections, it gives an explicit deficiency formula D(X^{[2]}) in terms of the real Betti numbers β_i(X(R)) and identifies sharp conditions under which X^{[2]} is maximal, including a complete characterization in odd/even dimensions and notable new maximal examples. The authors develop a cut-and-paste model for Hilbert squares over the reals, derive compatibility relations for characteristic classes, and use these tools to connect the topology of X(R) to that of X^{[2]}(R). A key consequence is that maximality of X^{[2]} often forces X to be maximal and constrains the topology of F(X) for cubic hypersurfaces, illustrating deep interactions between real and complex loci via Smith theory and Mayer-Vietoris. The results extend to compact complex manifolds with anti-holomorphic involution and provide practical criteria for determining maximality, with exact formulas for several classical families including projective spaces and quadrics.

Abstract

We give an expression for the Smith-Thom deficiency of the Hilbert square $X^{[2]}$ of a smooth real algebraic variety $X$ in terms of the rank of a suitable Mayer-Vietoris mapping in several situations. As a consequence, we establish a necessary and sufficient condition for the maximality of $X^{[2]}$ in the case of projective complete intersections, and show that with a few exceptions no real nonsingular projective complete intersection of even dimension has maximal Hilbert square. We also provide new examples of smooth real algebraic varieties with maximal Hilbert square.

On the Smith-Thom deficiency of Hilbert squares

TL;DR

This work establishes a concrete framework to compute the Smith-Thom deficiency of Hilbert squares X^{[2]} of real varieties X, tying maximality to the ranks of Mayer-Vietoris restriction maps. For real nonsingular projective complete intersections, it gives an explicit deficiency formula D(X^{[2]}) in terms of the real Betti numbers β_i(X(R)) and identifies sharp conditions under which X^{[2]} is maximal, including a complete characterization in odd/even dimensions and notable new maximal examples. The authors develop a cut-and-paste model for Hilbert squares over the reals, derive compatibility relations for characteristic classes, and use these tools to connect the topology of X(R) to that of X^{[2]}(R). A key consequence is that maximality of X^{[2]} often forces X to be maximal and constrains the topology of F(X) for cubic hypersurfaces, illustrating deep interactions between real and complex loci via Smith theory and Mayer-Vietoris. The results extend to compact complex manifolds with anti-holomorphic involution and provide practical criteria for determining maximality, with exact formulas for several classical families including projective spaces and quadrics.

Abstract

We give an expression for the Smith-Thom deficiency of the Hilbert square of a smooth real algebraic variety in terms of the rank of a suitable Mayer-Vietoris mapping in several situations. As a consequence, we establish a necessary and sufficient condition for the maximality of in the case of projective complete intersections, and show that with a few exceptions no real nonsingular projective complete intersection of even dimension has maximal Hilbert square. We also provide new examples of smooth real algebraic varieties with maximal Hilbert square.
Paper Structure (20 sections, 29 theorems, 114 equations)

This paper contains 20 sections, 29 theorems, 114 equations.

Key Result

Theorem 1.1

Let $X$ be a real nonsingular projective variety of dimension $n\ge 2$. If the Hilbert square $X^{[2]}$ is maximal, then $X$ is maximal.

Theorems & Definitions (47)

  • Theorem 1.1
  • Theorem 1.2
  • Corollary 1.3
  • Corollary 1.4
  • Theorem 1.5
  • Corollary 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Corollary 1.9
  • Theorem 2.1
  • ...and 37 more