Axis-parallel box 2026-10-03
An axis-parallel box in is a Cartesian product of bounded intervals. Its volume is the product of its side lengths, and each coordinate projection is the product of the corresponding intervals.
For four real-valued functions on a finite Cartesian product, let . Repeated Cauchy-Schwarz inequalities give
First separate the two averages and apply Cauchy-Schwarz inequality in . Each resulting squared factor is , bounded by by another Cauchy-Schwarz inequality. Expanding the four factors of and applying this inequality to each of the sixteen terms gives the triangle inequality for the box norm.
Box norm Created 2026-10-05 Updated 2026-10-06
For nonempty finite sets and a real-valued function on their Cartesian product, using uniform expectations, define
This equals . Hence it is nonnegative, and vanishing forces by taking . Absolute homogeneity and the box Cauchy-Schwarz inequality establish that it is a norm. This formula concerns real-valued functions; complex functions require appropriate complex conjugates in the definition.
Box norm singular-value identity Created 2026-10-06 Updated 2026-10-07
For a real-valued function on a nonempty finite Cartesian product, let with uniform inner products. The box norm obeys , where are its singular values. For a biregular graph this separates the constant component from the other fourth powers.
Cartesian powers of cap sets Created 2026-10-05 Updated 2026-10-06
Every Cartesian product of cap sets is a cap set. In characteristic three, with any two equal forces all three equal. A zero-sum triple in a Cartesian product of cap sets is therefore diagonal in every coordinate block, hence diagonal overall.
Cut norm 2026-10-06
For a real-valued function on a nonempty finite Cartesian product , its normalized cut norm is the maximum of over . It measures all rectangular subset discrepancies. The convention using arbitrary test functions bounded by one is equivalent within a factor of four, by decomposing their positive and negative parts into indicator functions.
Definiteness of a norm Created 2026-10-05 Updated 2026-10-06
Definiteness says that a norm vanishes only at the zero vector. The box norm on a nonempty finite Cartesian product is definite because its defining sum of squares includes equal-column terms, each of which is the square of an average of squares. Omitting repeated coordinates would destroy this proof and can produce a different quantity.
For a coordinate projection map onto , write for the other factor. The map is surjective exactly when is empty or is nonempty. It is injective exactly when is empty or has at most one element. In particular, a surjection onto an empty Cartesian product need not induce a surjection onto a nonempty factor.
A finite Cartesian product of countable sets is countable. For a fixed finite exponent , index tuples in can be listed by increasing maximum coordinate, with each group finite. If is countably infinite and , its power is also countably infinite.
A useful finite conjunction of closure assertions requires empty set, pairing, set union, set difference, Cartesian products, all finite tuple domains , and the following operations on their relations: relative complements, intersections, coordinate projections and pullbacks along finite coordinate maps, together with equality and membership restricted to . The arities and maps are quantified objects, so these requirements form finitely many first-order formulas, not an infinite schema. In a transitive set, individual finite tuples exist by pairing and union, making the tuple-domain assertions correct externally. Atomic truth relations, Boolean operations and projection then compute the truth table of each coded first-order formula correctly by finite induction. Thus satisfaction for a set structure and the relation are absolute for shared arguments. Every nonzero limit level of the relative constructible hierarchy is closed under these operations, since each result can be defined at finitely many subsequent stages.
Finite tuple Created 2026-10-06 Updated 2026-10-07
A finite tuple is an ordered list of finitely many entries; coordinates can repeat, and their positions matter. A tuple of length from a set is an element of the Cartesian product . The empty tuple has length zero. Finite tuples support Scott formulas in a back-and-forth method construction, where matching tuples determine a partial isomorphism of structures.
Work with modulo and modulo . By Fermat's little theorem, in , so the factor is independent of the chosen representative of . The proposed multiplication is therefore well defined on the stated Cartesian product. Its two associative bracketings have the same second component:
and both have first component . The identity element is , and the two-sided inverse element is
Thus the multiplication defines the twisted cyclic pair group, of order .
If , multiplication is coordinatewise addition, so the group is abelian. If , then and both and are available; their products in opposite orders are and . They differ. Hence
Both and contain the identity element and are closed under the multiplication and inverses: they are the cyclic groups of orders and respectively. Conjugation gives, with all coordinates reduced in the appropriate modulus,
so is a normal subgroup. For , the corresponding calculation is
When this lies in . Conversely, for , take , , : the second coordinate is , so is not normal. Thus is normal precisely when .
Finally, the projection
is a surjective group homomorphism because the first coordinates add. Its kernel of a group homomorphism is exactly . At , is the only possibility and the first factor is trivial, consistent with every conclusion. No assumption that generates the multiplicative group of the finite field is needed.