LEADER 03599nam 22005415 450 001 9910349321803321 005 20200704084655.0 010 $a3-030-26696-6 024 7 $a10.1007/978-3-030-26696-7 035 $a(CKB)4100000009152974 035 $a(MiAaPQ)EBC5888994 035 $a(DE-He213)978-3-030-26696-7 035 $a(PPN)258059702 035 $a(EXLCZ)994100000009152974 100 $a20190830d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCounting Lattice Paths Using Fourier Methods$b[electronic resource] /$fby Shaun Ault, Charles Kicey 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2019. 215 $a1 online resource (142 pages) 225 1 $aLecture Notes in Applied and Numerical Harmonic Analysis,$x2512-6482 311 $a3-030-26695-8 327 $aLattice Paths and Corridors -- One-Dimensional Lattice Walks -- Lattice Walks in Higher Dimensions -- Corridor State Space -- Review: Complex Numbers -- Triangular Lattices -- Selected Solutions -- Index. 330 $aThis monograph introduces a novel and effective approach to counting lattice paths by using the discrete Fourier transform (DFT) as a type of periodic generating function. Utilizing a previously unexplored connection between combinatorics and Fourier analysis, this method will allow readers to move to higher-dimensional lattice path problems with ease. The technique is carefully developed in the first three chapters using the algebraic properties of the DFT, moving from one-dimensional problems to higher dimensions. In the following chapter, the discussion turns to geometric properties of the DFT in order to study the corridor state space. Each chapter poses open-ended questions and exercises to prompt further practice and future research. Two appendices are also provided, which cover complex variables and non-rectangular lattices, thus ensuring the text will be self-contained and serve as a valued reference. Counting Lattice Paths Using Fourier Methods is ideal for upper-undergraduates and graduate students studying combinatorics or other areas of mathematics, as well as computer science or physics. Instructors will also find this a valuable resource for use in their seminars. Readers should have a firm understanding of calculus, including integration, sequences, and series, as well as a familiarity with proofs and elementary linear algebra. 410 0$aLecture Notes in Applied and Numerical Harmonic Analysis,$x2512-6482 606 $aFourier analysis 606 $aHarmonic analysis 606 $aCombinatorics 606 $aFourier Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M12058 606 $aAbstract Harmonic Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M12015 606 $aCombinatorics$3https://scigraph.springernature.com/ontologies/product-market-codes/M29010 615 0$aFourier analysis. 615 0$aHarmonic analysis. 615 0$aCombinatorics. 615 14$aFourier Analysis. 615 24$aAbstract Harmonic Analysis. 615 24$aCombinatorics. 676 $a515.723 700 $aAult$b Shaun$4aut$4http://id.loc.gov/vocabulary/relators/aut$0781302 702 $aKicey$b Charles$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910349321803321 996 $aCounting Lattice Paths Using Fourier Methods$92499262 997 $aUNINA