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Distribution of the Sequence [m]P in Elliptic Curves

Complex Variables · Submitted 24 Mar 2019

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In Section 4 we prove that every sequence of points $P_n=(x_n,y_n,1)$ equidistributed w.r.t. that measure is not equidistributed$\mod(1)$ with the obvious map $x_n\to\{x_n\}$.

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arXiv ID1903.09909 (version 4)
Pith ID2CUJWL7K, Pith's permanent record of this paper and its review
CitationMarkos Karameris. "Distribution of the Sequence [m]P in Elliptic Curves." arXiv:1903.09909 (2019). https://pith.science/paper/2CUJWL7K
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,723 input tokens.

What the abstract itself states, as probabilities: claims first 0.10 · states limitation 0.43 · human participants 0.01 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.15 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v4. Results and the main claim are underlined; .

Major controversy surrounds the use of Elliptic Curves in finite fields as Random Number Generators. There is little information however concerning the "randomness" of different procedures on Elliptic Curves defined over fields of characteristic $0$. The aim of this paper is to investigate the behaviour of the sequence $\psi_m=[m]P$ and then generalize to polynomial seuences of the form $\phi_m=[p(m)]P$. We examine the behaviour of this sequence in different domains and attempt to realize for which points it is not equidistributed in $\mathbb{C}/\Lambda$. We will first study the sequence in the space of Elliptic Curves $E(\mathbb{C})$ defined over the complex numbers and then reconsider our approach to tackle real valued Elliptic Curves. In the process we obtain the measure with respect to which the sequence $\psi$ is equidistributed in $E(\mathbb{R})$. In Section 4 we prove that every sequence of points $P_n=(x_n,y_n,1)$ equidistributed w.r.t. that measure is not equidistributed$\mod(1)$ with the obvious map $x_n\to\{x_n\}$.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Major controversy surrounds the use of Elliptic Curves in finite fields as Random Number Generators. background 1.00 0.03 0.02 asserted 1.00
s1 There is little information however concerning the "randomness" of different procedures on Elliptic Curves defined over fields of characteristic $0$. gap 0.99 0.04 0.02 asserted 1.00
s2 The aim of this paper is to investigate the behaviour of the sequence $\psi_m=[m]P$ and then generalize to polynomial seuences of the form $\phi_m=[p(m)]P$. contribution 1.00 0.34 0.05 asserted 0.88
s3 We examine the behaviour of this sequence in different domains and attempt to realize for which points it is not equidistributed in $\mathbb{C}/\Lambda$. contribution 0.95 0.68 0.08 asserted 0.44
s4 We will first study the sequence in the space of Elliptic Curves $E(\mathbb{C})$ defined over the complex numbers and then reconsider our approach to tackle real valued Elliptic Curves. method 0.89 0.46 0.03 asserted 0.90
s5 In the process we obtain the measure with respect to which the sequence $\psi$ is equidistributed in $E(\mathbb{R})$. result 0.95 0.93 0.15 asserted 1.00
s6 In Section 4 we prove that every sequence of points $P_n=(x_n,y_n,1)$ equidistributed w.r.t. that measure is not equidistributed$\mod(1)$ with the obvious map $x_n\to\{x_n\}$. result 0.99 0.91 0.42 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Major controversy surrounds the use of Elliptic Curves in finite fields as Random Number Generators. There is little information however concerning the "randomness" of different procedures on Elliptic Curves defined over fields of characteristic $0$. The aim of this paper is to investigate the behaviour of the sequence $\psi_m=[m]P$ and then generalize to polynomial seuences of the form $\phi_m=[p(m)]P$. We examine the behaviour of this sequence in different domains and attempt to realize for which points it is not equidistributed in $\mathbb{C}/\Lambda$. We will first study the sequence in the space of Elliptic Curves $E(\mathbb{C})$ defined over the complex numbers and then reconsider our approach to tackle real valued Elliptic Curves. In the process we obtain the measure with respect to which the sequence $\psi$ is equidistributed in $E(\mathbb{R})$. In Section 4 we prove that every sequence of points $P_n=(x_n,y_n,1)$ equidistributed w.r.t. that measure is not equidistributed$\mod(1)$ with the obvious map $x_n\to\{x_n\}$.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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