In Variant 4 of the one-way trading game [El-Yaniv, Fiat, Karp, and Turpin, 2001], a player has one dollar at the beginning and wants to convert it to yen only by one-way conversion. The exchange rate is guaranteed to fluctuate between m and M, and only the maximum fluctuation ratio φ = M/m is informed to the player in advance. The performance of an algorithm for this game is measured by the competitive ratio. El-Yaniv et al. derived the best possible competitive ratio over all algorithms for this game. However, it seems that the behavior of the best possible algorithm itself has not been explicitly described. In this paper we reveal the behavior of the best possible algorithm by solving a linear optimization problem. The behavior turns out to be quite different from that of the best possible algorithm for Variant 2 in which the player knows m and M in advance.
Hiroshi FUJIWARA
Shinshu University
Keiji HIRAO
Shinshu University
Hiroaki YAMAMOTO
Shinshu University
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Hiroshi FUJIWARA, Keiji HIRAO, Hiroaki YAMAMOTO, "Best Possible Algorithms for One-Way Trading with Only the Maximum Fluctuation Ratio Available" in IEICE TRANSACTIONS on Information,
vol. E107-D, no. 3, pp. 278-285, March 2024, doi: 10.1587/transinf.2023FCP0002.
Abstract: In Variant 4 of the one-way trading game [El-Yaniv, Fiat, Karp, and Turpin, 2001], a player has one dollar at the beginning and wants to convert it to yen only by one-way conversion. The exchange rate is guaranteed to fluctuate between m and M, and only the maximum fluctuation ratio φ = M/m is informed to the player in advance. The performance of an algorithm for this game is measured by the competitive ratio. El-Yaniv et al. derived the best possible competitive ratio over all algorithms for this game. However, it seems that the behavior of the best possible algorithm itself has not been explicitly described. In this paper we reveal the behavior of the best possible algorithm by solving a linear optimization problem. The behavior turns out to be quite different from that of the best possible algorithm for Variant 2 in which the player knows m and M in advance.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2023FCP0002/_p
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@ARTICLE{e107-d_3_278,
author={Hiroshi FUJIWARA, Keiji HIRAO, Hiroaki YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Best Possible Algorithms for One-Way Trading with Only the Maximum Fluctuation Ratio Available},
year={2024},
volume={E107-D},
number={3},
pages={278-285},
abstract={In Variant 4 of the one-way trading game [El-Yaniv, Fiat, Karp, and Turpin, 2001], a player has one dollar at the beginning and wants to convert it to yen only by one-way conversion. The exchange rate is guaranteed to fluctuate between m and M, and only the maximum fluctuation ratio φ = M/m is informed to the player in advance. The performance of an algorithm for this game is measured by the competitive ratio. El-Yaniv et al. derived the best possible competitive ratio over all algorithms for this game. However, it seems that the behavior of the best possible algorithm itself has not been explicitly described. In this paper we reveal the behavior of the best possible algorithm by solving a linear optimization problem. The behavior turns out to be quite different from that of the best possible algorithm for Variant 2 in which the player knows m and M in advance.},
keywords={},
doi={10.1587/transinf.2023FCP0002},
ISSN={1745-1361},
month={March},}
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TY - JOUR
TI - Best Possible Algorithms for One-Way Trading with Only the Maximum Fluctuation Ratio Available
T2 - IEICE TRANSACTIONS on Information
SP - 278
EP - 285
AU - Hiroshi FUJIWARA
AU - Keiji HIRAO
AU - Hiroaki YAMAMOTO
PY - 2024
DO - 10.1587/transinf.2023FCP0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E107-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2024
AB - In Variant 4 of the one-way trading game [El-Yaniv, Fiat, Karp, and Turpin, 2001], a player has one dollar at the beginning and wants to convert it to yen only by one-way conversion. The exchange rate is guaranteed to fluctuate between m and M, and only the maximum fluctuation ratio φ = M/m is informed to the player in advance. The performance of an algorithm for this game is measured by the competitive ratio. El-Yaniv et al. derived the best possible competitive ratio over all algorithms for this game. However, it seems that the behavior of the best possible algorithm itself has not been explicitly described. In this paper we reveal the behavior of the best possible algorithm by solving a linear optimization problem. The behavior turns out to be quite different from that of the best possible algorithm for Variant 2 in which the player knows m and M in advance.
ER -