リカレンスプロット : 時系列の視覚化を越えて (マクロ経済動学の非線形数理)

Similar documents
(a) (b) (c) 4. (a) (b) (c) p.2/27

02[ ]小林(責).indd

$/\mathrm{t}\mathrm{a}\mathrm{k}\mathrm{a}\mathrm{y}\mathrm{a}$ MIYANO E mail: hirosaki-u.ac.jp 1 ( ) ( ) 1980


Visit Japan Campaign OD OD 18 UNWTO 19 OD JNTO ODUNWTO 1 1

07_総説_中山.pdf

Li Yorke 1) 2) 3) Lorenz 4) 1960 Li Yorke Ruelle Takens ) 1970 Lorenz ) Birkhoff ) Smale 8) 9) 1

sakigake1.dvi

Takens / / 1989/1/1 2009/9/ /1/1 2009/9/ /1/1 2009/9/30,,, i

R¤Çʬ¤«¤ëÎÏ³Ø·Ï - ¡Áʬ´ô¤ÎÍͻҤò²Ä»ë²½¤·¤Æ¤ß¤ë¡Á

untitled

Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate catego

,.,.,,. [15],.,.,,., , 1., , 1., 1,., 1,,., 1. i

DEIM Forum 2009 C8-4 QA NTT QA QA QA 2 QA Abstract Questions Recomme


lecture_rev3

研究成果報告書(基金分)

⑥宮脇論 123~229○/宮脇先生

IPSJ SIG Technical Report Vol.2012-MPS-88 No /5/17 1,a) 1 Network Immunization via Community Structure based Node Representation Tetsuya Yoshida



広報東京都6月号

広報東京都2016年5月号


広報東京都3月号

082_rev2_utf8.pdf

研究シリーズ第40号

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS ) GPS Global Positioning System

1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,


1.7 D D 2 100m 10 9 ev f(x) xf(x) = c(s)x (s 1) (x + 1) (s 4.5) (1) s age parameter x f(x) ev 10 9 ev 2

1

<955C8E86819A2E6169>

Kobe University Repository : Kernel タイトル Title 著者 Author(s) 掲載誌 巻号 ページ Citation 刊行日 Issue date 資源タイプ Resource Type 版区分 Resource Version 権利 Rights DOI

The Empirical Study on New Product Concept of the Dish Washer Abstract

1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2

untitled

Isogai, T., Building a dynamic correlation network for fat-tailed financial asset returns, Applied Network Science (7):-24, 206,

2

IPSJ SIG Technical Report Vol.2012-CG-148 No /8/29 3DCG 1,a) On rigid body animation taking into account the 3D computer graphics came

Plural bookkeep using Exchange Algebra Yuji Onuki (University of tsukuba) Key Words:,,, 1 Deguchi(2004) 2 (1984) Staszkiewicz(2011) SNA n n r 1,1 < Na

A comparative study of the team strengths calculated by mathematical and statistical methods and points and winning rate of the Tokyo Big6 Baseball Le




ver.1 / c /(13)

(time series) ( 225 ) / / p.2/66

100 SDAM SDAM Windows2000/XP 4) SDAM TIN ESDA K G G GWR SDAM GUI

3 2 2 (1) (2) (3) (4) 4 4 AdaBoost 2. [11] Onishi&Yoda [8] Iwashita&Stoica [5] 4 [3] 3. 3 (1) (2) (3)

論文08.indd

004139 医用画像‐27‐3/★追悼文‐27‐3‐0 松本様


& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro

わが国企業による資金調達方法の選択問題

2009年度 東京薬科大学 薬学部 授業計画

人文学部研究年報12号.indb

untitled

Thomas Kuhn markedness McCawley (1985)

離散ラプラス作用素の反復力学系による蝶の翅紋様の実現とこれに基づく進化モデルの構成 (第7回生物数学の理論とその応用)

A MATLAB Toolbox for Parametric Rob TitleDesign based on symbolic computatio Design of Algorithms, Implementatio Author(s) 坂部, 啓 ; 屋並, 仁史 ; 穴井, 宏和 ; 原

三石貴志.indd

untitled

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)


<4D F736F F D20D2E5E7E8F1FB E3EEE45FE8F1EFF0>

自殺の経済社会的要因に関する調査研究報告書

dsample.dvi

1 (1997) (1997) 1974:Q3 1994:Q3 (i) (ii) ( ) ( ) 1 (iii) ( ( 1999 ) ( ) ( ) 1 ( ) ( 1995,pp ) 1

5 5 5 Barnes et al

IR0036_62-3.indb

2. Eades 1) Kamada-Kawai 7) Fruchterman 2) 6) ACE 8) HDE 9) Kruskal MDS 13) 11) Kruskal AGI Active Graph Interface 3) Kruskal 5) Kruskal 4) 3. Kruskal


Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).

†sŸ_Ł¶†t›ÍŠlŁª(P26†`)/−Ø“‚‡É‡¨‡¯‡é…}…j…t…F…X…gŁ†‰y†`

untitled

”R„`‚å−w‰IŠv†^›¡‚g‡¾‡¯.ren

Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Step

A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member

Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L

1

IPSJ SIG Technical Report Vol.2014-EIP-63 No /2/21 1,a) Wi-Fi Probe Request MAC MAC Probe Request MAC A dynamic ads control based on tra

SEJulyMs更新V7

4703ALL01

202

国際流動性に関する財政的側面について

Power Transformation and Its Modifications Toshimitsu HAMASAKI, Tatsuya ISOMURA, Megu OHTAKI and Masashi GOTO Key words : identity transformation, pow

産業・企業レベルデータで見た日本の経済成長.pdf

(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s


橡表紙参照.PDF

kut-paper-template2.dvi

$\text{ ^{ } }\dot{\text{ }}$ KATSUNORI ANO, NANZAN UNIVERSITY, DERA MDERA, MDERA 1, (, ERA(Earned Run Average) ),, ERA 1,,

TCP/IP IEEE Bluetooth LAN TCP TCP BEC FEC M T M R M T 2. 2 [5] AODV [4]DSR [3] 1 MS 100m 5 /100m 2 MD 2 c 2009 Information Processing Society of

6 7 22

28_3-03-伊勢坊 中原先生-原著③.indd

[2] , [3] 2. 2 [4] 2. 3 BABOK BABOK(Business Analysis Body of Knowledge) BABOK IIBA(International Institute of Business Analysis) BABOK 7

% 95% 2002, 2004, Dunkel 1986, p.100 1

Z...QXD (Page 1)



Transcription:

1768 2011 150-162 150 : Recurrence plots: Beyond visualization of time series Yoshito Hirata Institute of Industrial Science, The University of Tokyo voshito@sat. t.u\cdot tokvo.ac.ip 1 1. 1987 (Eckmann et al. (1987); Marwan et al. (2007)) 2 $2$ $M$ $d$ $M$ $i$ $x(i)\in M$ $R(i,j)=\{\begin{array}{l}1, d(x(i),x(j))<r(i,j)0, otherwise.\end{array}$ $R(i,j)=1$ $(i,j)$ $R(i,j)=0$ $(i,j)$ $r(i,j)$ Zbi lut and $b^{l}ebber$ (1992) $r(i,j)=r$ Eckmann et al, (1987) $r(i, j)$ $i$ $k$

$0$ 50 $#_{l}^{y_{r^{1}}}i$ $\grave$ 151 $0$ $0$ 100 50 100 50 $0$ 60 100 $0$ 50 100 $0$ 50 100 $\not\in \#_{\iota^{ }}$ $\Re,\hslash_{\langle}J$ $*t_{\wedge} $ 1: ( ) ( ) $M$ $d$ 1 2 $d(x(i),x(j))= x(i)-x(j) $ $($ $1)_{\text{ }}$ 2 $M$ $n\iota$ $x_{k}(i)$ $x(i)$ $k$ $d$

152 $d(x(\dagger),x(j))=j\leqq\sqrt{\sum_{k\overline{-}1}^{t1l}(x_{k}(i)-x_{k}(j))-}$ $\circ$ 2 (Hirata et al. (2008) ;1 Thiel et al. $(2004a))$ $\circ$ (Faure and (1998) :Thiel et al. $(2004b)$ ) 2 3 4 5 6 7 2. 1992 (Webber and Zbilut, 1994; Marwan et al., 2002; Marwan et al., 2009) 3 1 (Webber and Zbilut, $1992)$ $2$ $($Marwan et al., $2002)$ $3$ (Marwan et al., 2009) $l$ $D(l)=\{(i, j),$ $f=1,2,$ $\ldots,$ $n-1,$ $j=i+1,l+2,\ldots,$ $n (1-R(i-1,j-1))(1-R(l+l, j+t)) \prod_{k\underline{-}0}^{l-1}r(i+k, j+k)=1\}$ 4 1 (DET) $\sum l D(l) $ $DET= \frac{l\geq 2}{\sum_{l\geq 1}l D(l) }$

$ $ A 153 $ $ A DET $L$ 2 $\sum l D(l) $ $L= \frac{/\geq 1}{\sum_{\prime\geq 1} D(l) }$ $L$ 3 $L_{mas}= \max\{l D(l)\neq\emptyset\}$ $L_{1,\iota_{t}\tau x}$ $\emptyset$. 4 $p(l)= D(l) / \sum_{/\geq 1} D(l) $ $ENTR=- \sum_{l\geq 1}p(l)\log p(l)$ 3. 1 3.1 (Hirata and Aihara, $\circ$ 2011) $p$ $p^{2}$ 2

154 $\mathfrak{l}2_{(l}$ 2 2 lyt$d= \frac{1}{2}(n-1)(n-2)$ $p^{2\text{ }}$ $n_{d}$ $m_{d}$ 2 2 $m_{d}$ $m_{d}p^{2\text{ }}$ $m_{c},p^{2}(1-p^{2})$ $z_{d}= \frac{n_{d}-m_{d}p^{2}}{\sqrt{m_{d}p^{2}(1-p^{2})}}$ $2_{/1}$ 1 $0$ $Z_{d}$ 1 $P$ $0.58$ $p$ $0.001$ 3.2 Devaney (Devaney, l989) (Hirata and Aihara, $2010a$ ) Devaney Hirata and Aihara (2010b) 1

155 4. (Casdagli, 1997; Stark, 1999; Hegger et al., 2000) $i$ $1997)_{\text{ }}$ $($Casdagl, Hirata et al. (2008) Tanio et al. (2009) Lorenz 63 Henon 2 Lorenz 63 Henon 10 3 Lorenz 63 Hirata et al. (2008) 2 Lorenz 63

$0$ 5 156 10 15 20 2: Lorenz 63 ( ) ( ) 25 20 15 10 5 $0$ $0$ 5 10 15 20 25 3 :Lorenz 63 Henon

157 5. 2 1 $($Zbilut et al., 1998; $2002)_{\text{ }}$ Marwan and Kurths, $M$ $i$ 2 $x(i),y(i)\in M$ $C(i,j)=\{\begin{array}{l}1, d(x(i),y(j))<r(i,j)0, otherwise.\end{array}$ 2 $\circ$ 1 (Romano et al., 2004) 2 2 2 $x_{1}(i)\in M_{1}$, $x_{2}(i)\in M_{2}$ $R_{1}(j,j),$ $R_{2}(i,j)$ $J(i,j)=R_{1}(i,j)R_{2}(l, j)$ 2 Hirata and Aihara (2010b) 3 2 3 6. (Victor and Purpura, 1997; Hirata and Aihara, 2009; Suzuki et al., 2010) (Suzuki et al., 2010)

158 2 ( 4 ) 3 1 ( ) Victor and Purpura(1997) (Suzuki et al., 2010) time 4: 2

$\cross$ 159 $k$ 5 :Rossler ( ) ( ) 5 Rossler 6 2 3. 2 Devaney consistent

M. 160 $0$ $\}$ $t\mathfrak{d}$ 0.. $\infty$ $\Re$ 6:Rossler ( ) ( ) 7 3 1 4 5 6 (B) 21700249 C. Casdagli: Recurrence plots revisited, Physica $D,$ $108,12-44$ (1997). R. L. Devaney: An Introduction to Chaotic Dynamical Systems, $Addison\cdot Wesley$, Reading, Massachusetts, 1989. $J.\cdot P$. Eckmann, S. Oliffson Kamphorst, D. Ruelle: Recurrence plots of dynamical systems, Europhysics Letters, 5, 973-977 (1987). P. Faure, H. Korn: A new method to estimate the Kolmogorov entropy from recurrence plots: its application to neuronal signals, Physica $D,$ $122,265-279$ (1998). R. Hegger, H. Kantz, L. Matassini, T. Schreiber: Coping with nonstationarity by

Y. 161 overembedding, Physical Review Letters, 84, 4092-4095 (2000). Y. Hirata, S. Horai, K. Aihara: Reproduction of distance matrices from recurrence plots and its applications, European Physical Journal-Special Topics, 164, (2008). $13\cdot 22$ Y. Hirata, K. Aihara: Representing spike trains using constant sampling intervals, Journal of Neuroscience Methods, 183, $277\cdot 286$ (2009). Hirata, K. Aihara: Devaney s chaos on recurrence plots, Physical Review $E,$ $82$, 036209 (2010a). M. C. Romano, M. Thiel, J. Kurths, W. von Bloh: Multivariate recurrence plots, Physics Letters $A,$ $330,214-223$ (2004). J. Stark: Delay embeddings for forced systems. I. Deterministic forcing, Journal of Nonlinear Science, 9, $255\cdot 332$ (1999). S. Suzuki, Y. Hirata, K. Aihara: Definition of distance for marked point process data and its application to recurrence $plot\cdot based$ analysis of exchange tick data of foreign currencies, International Journal of Bifurcation and Chaos, 20, $3699\cdot 3708$ (2010). 1 M. Tanio, Y. Hirata, H. Suzuki: Reconstruction of driving forces through recurrence plots, Physics Letters $A,$ $373,2031-2040$ (2009). M. Thiel, M. C. Romano, J. Kurths: How much information is contained in a recurrence plot?, Physics Letters $A,$ $380,343\cdot 349(2004a)$. M. Thiel, M. C. Romano, P. L. Read, J. Kurths: Estimation of dynamical invariants without embedding by recurrence plots, Chaos, 14, 234-243 (2004b). J. Victor, K. $Pui\sim pura:metric\cdot space$ analysis of spike trains: theory, algorithms and

162 $\cdot$ application, Network 8, 127 164 (1997). C. L. Webber Jr., J. P. Zbilut: Dynamical assessment ofphysiological systems and states using recurrence plot strategies, Journal ofapplied Physiology, 76, (1994). $965\cdot 973$ J. P. Zbilut, C. L. Webber Jr.: Embeddings and delays as derived from quantification of recurrence plots, Physics Letters $A,$ $171,199-203$ (1992). J. P. Zbilut, A. Giuliani, C. L. Webber Jr.: Detecting deterministic signals in exceptionally noisy environments using $cross\cdot recurrence$ quantification, Physics Letters $A,$ $246,122-128$ (1998).