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ExactDeckCore

Abstract

Exact fixed-length decks recover every shorter scattered count.

Theorem 1.1 (scatteredCount_eq_count_sublistsLen).

Proof. Machine-checked in Lean as D5/S1/Words/Complexity/ExactDecks/Growth/ExactDeckCore.scatteredCount_eq_count_sublistsLen (✓ std3). ∎

Source. Repository-derived.

Acknowledgement. Arman Nilforoushan; Farzad Parvaresh (2026). Improved upper bound on the number of distinct k-decks for any k and alphabet size by counting the independent parameters. DOI: 10.48550/arXiv.2609.23106. URL: https://arxiv.org/html/2609.23106v1.

Commentary.

The formula relates a word’s constant runs and its scattered-subword counts.

The exact-deck objects formalize the source paper’s actual vectors of all length-k scattered-subword counts. The repository bridge first proves that, at a common source length, exact k-deck equality recovers every shorter count and is equivalent to equality of the full cutoff Magnus vector.

Definition 1.2 (An actual exact k-deck).

Formalization. D5/S1/Words/Complexity/ExactDecks/Growth/ExactDeckCore.exactKDeck (✓ std3).

Citation. Arman Nilforoushan; Farzad Parvaresh (2026). Improved upper bound on the number of distinct k-decks for any k and alphabet size by counting the independent parameters. DOI: 10.48550/arXiv.2609.23106. URL: https://arxiv.org/html/2609.23106v1.

Commentary.

For finite A, exactKDeck k source is the function sending each actual pattern of length exactly k to its scatteredCount in source.

Definition 1.3 (Decks realized at one source length).

Formalization. D5/S1/Words/Complexity/ExactDecks/Growth/ExactDeckCore.exactKDeckImage (✓ std3).

Citation. Arman Nilforoushan; Farzad Parvaresh (2026). Improved upper bound on the number of distinct k-decks for any k and alphabet size by counting the independent parameters. DOI: 10.48550/arXiv.2609.23106. URL: https://arxiv.org/html/2609.23106v1.

Commentary.

exactKDeckImage A k n is the finite image of exactKDeck k on all actual words over A of length exactly n.

Theorem 1.4 (Exact decks recover all shorter counts).

Proof. Machine-checked in Lean as D5/S1/Words/Complexity/ExactDecks/Growth/ExactDeckCore.scatteredCount_eq_of_exactKDeck_eq (✓ std3). ∎

Source. Repository-derived.

Acknowledgement. Arman Nilforoushan; Farzad Parvaresh (2026). Improved upper bound on the number of distinct k-decks for any k and alphabet size by counting the independent parameters. DOI: 10.48550/arXiv.2609.23106. URL: https://arxiv.org/html/2609.23106v1.

Commentary.

For finite A with decidable equality, common length n, k<=n, and a pattern of length at most k, equality of exactKDeck k for the two source words implies equality of that pattern’s scattered counts.

Theorem 1.5 (Exact-deck and cutoff equality coincide).

Proof. Machine-checked in Lean as D5/S1/Words/Complexity/ExactDecks/Growth/ExactDeckCore.exactKDeck_eq_iff_cutoffMagnus_eq_of_common_length (✓ std3). ∎

Source. Repository-derived.

Acknowledgement. Arman Nilforoushan; Farzad Parvaresh (2026). Improved upper bound on the number of distinct k-decks for any k and alphabet size by counting the independent parameters. DOI: 10.48550/arXiv.2609.23106. URL: https://arxiv.org/html/2609.23106v1.

Commentary.

For finite A, source words of the same length n, and k<=n, equality of their actual exact k-decks is equivalent to equality of cutoffMagnus k.

References