Abstract:We introduce a new combinatorial object called tower diagrams and prove fundamental properties of these objects. We also introduce an algorithm that allows us to slide words to tower diagrams. We show that the algorithm is well-defined only for reduced words which makes the algorithm a test for reducibility. Using the algorithm, a bijection between tower diagrams and finite permutations is obtained and it is shown that this bijection specializes to a bijection between certain labellings of a given tower diagra… Show more
“…Recall that the sliding algorithm in [4] determines the rules for sliding an adjacent transposition into a tower diagram so that when applied on a sequence of such transpositions, only the reduced expressions of permutations produce tower diagrams. Moreover this property provides a bijection between the set of all permutations and the set of all tower diagrams.…”
Section: From Permutations To Tower Diagrams: Generalized Sliding Algmentioning
confidence: 99%
“…In the following Figure we illustrate the possible cases. Note that in the third case the deleted cell is labeled by ∅ and in the other cases the cells labeled by • represent the new positions of c. We remark that the only difference between the generalized sliding and the one in [4] appears in Condition 3. In case sld(c, d) = 0, the algorithm terminates without a result (that is, no tower diagram is produced) in the previous version, whereas in the new one, a tower diagram is produced by removing d. Since the new algorithm is an extension of the previous one, we still call it the sliding algorithm.…”
Section: From Permutations To Tower Diagrams: Generalized Sliding Algmentioning
confidence: 99%
“…, 2, Remark 3.1. 1) Contrary to the one given in [4], the above definition assigns a flight path to any cell in the first quadrant, not necessarily contained in T . Also we generalized the notion of flight number to any top cell (not necessarily a corner cell) by adding also a hook number.…”
Section: From Tower Diagrams To Permutations: Generalized Flight Algomentioning
We introduce an algorithm to describe Pieri's Rule for multiplication of Schubert polynomials. The algorithm uses tower diagrams introduced by the authors and another new algorithm that describes Monk's Rule. Our result is different from the well-known descriptions (and proofs) of the rule by Bergeron-Billey and Kogan-Kumar and uses Sottile's version of Pieri's Rule.
“…Recall that the sliding algorithm in [4] determines the rules for sliding an adjacent transposition into a tower diagram so that when applied on a sequence of such transpositions, only the reduced expressions of permutations produce tower diagrams. Moreover this property provides a bijection between the set of all permutations and the set of all tower diagrams.…”
Section: From Permutations To Tower Diagrams: Generalized Sliding Algmentioning
confidence: 99%
“…In the following Figure we illustrate the possible cases. Note that in the third case the deleted cell is labeled by ∅ and in the other cases the cells labeled by • represent the new positions of c. We remark that the only difference between the generalized sliding and the one in [4] appears in Condition 3. In case sld(c, d) = 0, the algorithm terminates without a result (that is, no tower diagram is produced) in the previous version, whereas in the new one, a tower diagram is produced by removing d. Since the new algorithm is an extension of the previous one, we still call it the sliding algorithm.…”
Section: From Permutations To Tower Diagrams: Generalized Sliding Algmentioning
confidence: 99%
“…, 2, Remark 3.1. 1) Contrary to the one given in [4], the above definition assigns a flight path to any cell in the first quadrant, not necessarily contained in T . Also we generalized the notion of flight number to any top cell (not necessarily a corner cell) by adding also a hook number.…”
Section: From Tower Diagrams To Permutations: Generalized Flight Algomentioning
We introduce an algorithm to describe Pieri's Rule for multiplication of Schubert polynomials. The algorithm uses tower diagrams introduced by the authors and another new algorithm that describes Monk's Rule. Our result is different from the well-known descriptions (and proofs) of the rule by Bergeron-Billey and Kogan-Kumar and uses Sottile's version of Pieri's Rule.
“…In this section, we recall the necessary background from [3] without details. To begin with, by a tower T of size k ≥ 0 we mean a vertical strip of k squares of side length 1.…”
Section: Digression On Tower Diagramsmentioning
confidence: 99%
“…To achieve this, we first describe how we can remove an initial segment from a given standard tower tableaux. This will lead us to a generalization of the Rothification algorithm described in [3,Section 7].…”
Section: Balanced Labelings Via Tower Tableauxmentioning
We prove that the well-known condition of being a balanced labeling can be characterized in terms of the sliding algorithm on tower diagrams. The characterization involves a generalization of authors' Rothification algorithm. Using the characterization, we obtain descriptions of Schubert polynomials and Stanley symmetric functions.
We introduce a partial order on the set of all reduced words of a given permutation ω, called directed-braid poset of ω. This poset enables us to produce two algorithms: One is a sorting algorithm applied on any reduced word of ω and aims to obtained the natural word (lexicographically largest reduced word); the other one is a generation algorithm applied on the natural word and aims to obtained the set of all reduced words of ω.
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