Grant: Discovery Grants Program - Individual
University of Winnipeg
$14,000.00
Extendibility and growth of words avoiding patterns
FY 2022-23
Summary
In the modern world, long sequences of symbols over small alphabets are of basic importance. Whether we are considering streams of 0's and 1's over the internet, or considering long DNA sequences made up from the letters A, C, G, T, understanding the mathematics of strings of symbols is of basic importance. This research studies the regularities and irregularities in long strings of symbols, identifying which patterns must always arise, and which can be avoided. The simplest patterns, repetitions, play a key role in data compression, such as we see every day in .zip files. More complicated patterns, involving repetitions and reversals, arise naturally in the study of genetic sequences in DNA or RNA, in so-called "DNA hairpins". Words avoiding patterns have also been proposed as a cryptographic tool.Simple questions about which patterns can be avoided in long strings of symbols remain unanswered, but problems which had been previously unsolved for 20 or 40 years are starting to be resolved. In the same way that studying simple objects in arithmetic, such as prime numbers, has led to technical breakthroughs in encryption of banking transactions, understanding the basic mathematics of strings of symbols should continue to have importance in data compression, genetic analysis and information technology.
Program
Discovery Grants Program - Individual
Recipient
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-03901
Name nom
Currie, James
Department département
Mathematics and Statistics - Mathematics and Statistics
Organization id
21
Institution établissement
University of Winnipeg
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2017
Award amount
14000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
2900
Research subject group en
Pure mathematics
Research subject group fr
Mathématiques pures
Research subject en
Pure mathematics
Research subject fr
Mathématiques pures
Installment
inst:6
Partie
1
Nb partie
6
Application title
Extendibility and growth of words avoiding patterns
Application summary
In the modern world, long sequences of symbols over small alphabets are of basic importance. Whether we are considering streams of 0's and 1's over the internet, or considering long DNA sequences made up from the letters A, C, G, T, understanding the mathematics of strings of symbols is of basic importance. This research studies the regularities and irregularities in long strings of symbols, identifying which patterns must always arise, and which can be avoided. The simplest patterns, repetitions, play a key role in data compression, such as we see every day in .zip files. More complicated patterns, involving repetitions and reversals, arise naturally in the study of genetic sequences in DNA or RNA, in so-called "DNA hairpins". Words avoiding patterns have also been proposed as a cryptographic tool.Simple questions about which patterns can be avoided in long strings of symbols remain unanswered, but problems which had been previously unsolved for 20 or 40 years are starting to be resolved. In the same way that studying simple objects in arithmetic, such as prime numbers, has led to technical breakthroughs in encryption of banking transactions, understanding the basic mathematics of strings of symbols should continue to have importance in data compression, genetic analysis and information technology.