Tight MAD Families in Set Theory
- Tight MAD families are maximal almost disjoint collections of infinite subsets of natural numbers with a strengthened selection property ensuring every countable collection outside the ideal meets some family member in an infinite set.
- Shelah’s creature forcing constructs generic extensions that strongly preserve tightness, maintaining the structure of MAD families without adding dominating reals.
- Models with tight MAD families achieve precise cardinal characteristics (e.g., ℵ1 = 𝔞 < 𝔰 = ℵ2), enabling definable wellorders and minimal projective complexity.
A tight maximal almost disjoint (MAD) family is a refinement of the classical notion of a MAD family, incorporating a strengthened selection property relative to countable subsets outside the ideal generated by the family. These combinatorial structures on the infinite subsets of natural numbers play a fundamental role in set theory, descriptive set theory, and the theory of definable sets of reals. Significant recent work demonstrates the preservation and definability properties of tight MAD families under forcing, and establishes the consistency of models supporting tight MAD families with specific cardinal characteristics, wellorders of the reals, and projective complexity constraints (Fischer et al., 13 Jan 2026).
1. Definitions and Fundamental Properties
Let denote the natural numbers, and the set of infinite subsets of . A family is almost disjoint if for all distinct . It is a MAD family if is maximal with respect to this property; equivalently, every infinite has infinite intersection with some .
The ideal generated by is finite , where means is finite. Define , the collection of sets not covered modulo finite by finitely many elements of .
A MAD family is tight if for every countable there exists such that for all . Tightness immediately implies maximality, but is strictly stronger.
2. Shelah’s Creature Forcing and Forcing Preservation
Shelah's original creature forcing (denoted ) constructs generic extensions characterized by highly controlled combinatorics and preservation of key ground model families (Fischer et al., 13 Jan 2026). A condition in is a pair , where and is a sequence of "creatures" . Each creature is a finite logarithmic measure: is a finite subset of , , with technical subadditivity and positivity conditions.
Ordering in is designed to enable fusion: for , end-extends , the illustration parts (the unions of all ) are nested, and positivity is preserved through combinatorial partitions. The fusion property guarantees any countable chain (with each agreeing with on the first creatures) admits a lower bound extending all at corresponding levels.
Shelah's creature forcing is proper and -bounding; crucially, the unboundedness of creature levels prevents from adding dominating reals. Moreover, the forcing does not split any ground-model infinite subset, a fact essential for the preservation of tight MAD families.
3. Strong Preservation of Tightness
Let be a tight MAD family in a ground model . A poset strongly preserves the tightness of if for every condition , every countable elementary submodel with , and every satisfying , there is a that is -generic and forces that all satisfy .
Shelah's strongly preserves tightness: any ground-model tight MAD family remains tight in for generic. Furthermore, countable support iterations of strongly tightness-preserving posets retain this property. The combinatorial mechanism involves careful enumeration of dense sets and fusion sequences that ensure genericity and meet all requirements for witnesses to tightness (Fischer et al., 13 Jan 2026).
4. Models with Tight MAD Families, Cardinal Characteristics, and Definability
The consistent configuration (where is the minimal size of a MAD family, the splitting number) holds in a generic extension produced by iterating of length with countable support, starting with CH and a ground-model tight MAD family of size . At each stage, adds a real not split by any ground-model family of size , yielding , while preservation ensures (Fischer et al., 13 Jan 2026).
By integrating Sacks-coding, club-shooting, localization, and almost disjoint coding in the iteration, and interleaving -stages, one can simultaneously ensure:
- The existence of a -definable wellorder of the reals,
- A tight MAD family of size ,
- A tight MAD family of size .
This model demonstrates minimal projective complexity for such definable MAD families and a definable wellorder consistent with sharply separated small cardinals.
5. Projective Complexity of Tight MAD Families
For the definable examples constructed in the aforementioned models, explicit formulas express their projective complexity:
- The coanalytic MAD family of size arises in via a -recursion along and is in the codes. Shoenfield absoluteness ensures the definition retains its analytic rank in the forcing extension, and the preservation arguments maintain tightness and size.
- The MAD family of size is defined using a recursive coding and a -definable sequence . The formula
is . Minimality is established: no analytic or MAD family of size exists, so these definable examples optimize projective complexity for large MAD families (Fischer et al., 13 Jan 2026).
6. Resolution of Open Questions and Impact
The construction and preservation results answer longstanding open questions:
- The existence of a model with and a wellorder of the reals, as posed by Fischer–Friedman, is affirmed by application of and Sacks-coding.
- The existence of and definable tight MAD families of large size, as queried by Friedman–Zdomskyy, is achieved by appropriate coding and carefully engineered forcing iterations.
- The notion of strong preservation for tightness, introduced by Guzmán–Hrušák–Téllez, is realized by Shelah’s original creature forcing, thereby expanding the class of tightness-preserving posets (Fischer et al., 13 Jan 2026).
These results delineate the boundaries of definability, tightness, and cardinal invariants for almost disjoint families, and exhibit intricate interactions between forcing, recursion theory, and the projective hierarchy.