14,647 research outputs found
Relations between the minors of a generic matrix
It is well-known that the Pl\"ucker relations generate the ideal of relations
of the maximal minors of a generic matrix. In this paper we discuss the
relations between minors of a (non-maximal) fixed size. We will exhibit minimal
relations in degrees 2 (non-Pl\"ucker in general) and 3, and give some evidence
for our conjecture that we have found the generating system of the ideal of
relations. The approach is through the representation theory of the general
linear group.Comment: Final version, minor changes, to appear in Advances in Mathematic
Finger Search in Grammar-Compressed Strings
Grammar-based compression, where one replaces a long string by a small
context-free grammar that generates the string, is a simple and powerful
paradigm that captures many popular compression schemes. Given a grammar, the
random access problem is to compactly represent the grammar while supporting
random access, that is, given a position in the original uncompressed string
report the character at that position. In this paper we study the random access
problem with the finger search property, that is, the time for a random access
query should depend on the distance between a specified index , called the
\emph{finger}, and the query index . We consider both a static variant,
where we first place a finger and subsequently access indices near the finger
efficiently, and a dynamic variant where also moving the finger such that the
time depends on the distance moved is supported.
Let be the size the grammar, and let be the size of the string. For
the static variant we give a linear space representation that supports placing
the finger in time and subsequently accessing in time,
where is the distance between the finger and the accessed index. For the
dynamic variant we give a linear space representation that supports placing the
finger in time and accessing and moving the finger in time. Compared to the best linear space solution to random
access, we improve a query bound to for the static
variant and to for the dynamic variant, while
maintaining linear space. As an application of our results we obtain an
improved solution to the longest common extension problem in grammar compressed
strings. To obtain our results, we introduce several new techniques of
independent interest, including a novel van Emde Boas style decomposition of
grammars
Data Structures in Classical and Quantum Computing
This survey summarizes several results about quantum computing related to
(mostly static) data structures. First, we describe classical data structures
for the set membership and the predecessor search problems: Perfect Hash tables
for set membership by Fredman, Koml\'{o}s and Szemer\'{e}di and a data
structure by Beame and Fich for predecessor search. We also prove results about
their space complexity (how many bits are required) and time complexity (how
many bits have to be read to answer a query). After that, we turn our attention
to classical data structures with quantum access. In the quantum access model,
data is stored in classical bits, but they can be accessed in a quantum way: We
may read several bits in superposition for unit cost. We give proofs for lower
bounds in this setting that show that the classical data structures from the
first section are, in some sense, asymptotically optimal - even in the quantum
model. In fact, these proofs are simpler and give stronger results than
previous proofs for the classical model of computation. The lower bound for set
membership was proved by Radhakrishnan, Sen and Venkatesh and the result for
the predecessor problem by Sen and Venkatesh. Finally, we examine fully quantum
data structures. Instead of encoding the data in classical bits, we now encode
it in qubits. We allow any unitary operation or measurement in order to answer
queries. We describe one data structure by de Wolf for the set membership
problem and also a general framework using fully quantum data structures in
quantum walks by Jeffery, Kothari and Magniez
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