TY - JOUR
T1 - p-conformal maps on the triangular lattice
AU - Akahori, Jirô
AU - Ida, Yuuki
AU - Markowsky, Greg
PY - 2019/8/1
Y1 - 2019/8/1
N2 -
In Akahori and Ida (2014), p-conformal (or Parisian-conformal) maps on the triangular lattice were defined. The definition of p-conformality is nonstandard in comparison to ordinary discrete derivatives, but was seen to be natural in connection with a particular type of random walk, the Parisian random walk. In this note, we establish the fact that the only p-conformal polynomials in z and z̄ on the triangle lattice are linear combinations of 1, z and z
2
−z̄, but that if one extends the notion of p-conformality to functions of two variables (the complex variable z and the time variable t) we obtain a rich class of polynomials which yield martingales when applied to the Parisian walk. These polynomials make use of a particular type of martingale transform, which is defined in the paper.
AB -
In Akahori and Ida (2014), p-conformal (or Parisian-conformal) maps on the triangular lattice were defined. The definition of p-conformality is nonstandard in comparison to ordinary discrete derivatives, but was seen to be natural in connection with a particular type of random walk, the Parisian random walk. In this note, we establish the fact that the only p-conformal polynomials in z and z̄ on the triangle lattice are linear combinations of 1, z and z
2
−z̄, but that if one extends the notion of p-conformality to functions of two variables (the complex variable z and the time variable t) we obtain a rich class of polynomials which yield martingales when applied to the Parisian walk. These polynomials make use of a particular type of martingale transform, which is defined in the paper.
KW - Discrete complex analysis
KW - Martingale theory
KW - Random walk
UR - http://www.scopus.com/inward/record.url?scp=85063989876&partnerID=8YFLogxK
U2 - 10.1016/j.spl.2019.03.010
DO - 10.1016/j.spl.2019.03.010
M3 - Article
AN - SCOPUS:85063989876
SN - 0167-7152
VL - 151
SP - 42
EP - 48
JO - Statistics and Probability Letters
JF - Statistics and Probability Letters
ER -