tilburg university a new triangulation of the unit simplex ... · and let ui -(1, 0, .. , o)t e...
TRANSCRIPT
Tilburg University
A new triangulation of the unit simplex for computing economic equilibria
Dang, C.; Talman, A.J.J.
Publication date:1989
Link to publication in Tilburg University Research Portal
Citation for published version (APA):Dang, C., & Talman, A. J. J. (1989). A new triangulation of the unit simplex for computing economic equilibria.(CentER Discussion Paper; Vol. 1989-35). Unknown Publisher.
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~~IIZ Discussionfor a erEconomic Research
35
imi iiiii i~ii i iu iiuui ~niuuiNU m iN i
No. 8935A NEW TRIANGULATION OF THE UNIT SIMPLEX
FOR COI~UTING ECONOMIC EQUILIBRIA~. ..-.
by Chuangyin Dangand Dolf Talman ~ ~~ ~ ( ~ ~
July, 1989
1
A NBii TRIANGULATION OF TF~ UNIT SIl~LER
FOR COl~UTING ECONOMLIC EQUILIBRIA
Chuangyin DANG and Dolf TALMAN
Tilburg, The Netherlands
ABSTRACT - In order to compute economic equilibrie in an exchange
economy by means of a simplicial algorithm, we propose a new
simpliciel subdivision of the underlying price space, being the unit
simplex. We call this subdivísion the Ti-triangulation. We show that
the Ti-triangulation is superior to the well lrnown Ki- and Ji-
triangulations according to measures of efficiency of
triangulations.
1. INTRODUCTION
Since van der Laan and Talman [8] proposed the first simplicial
variable dimenaion algorithm without an extra dimension, a lot of
contributions to this field have appeared, e.g., see [3], [4], [6],
[8], and [11]. These algorithms can be used to find en economic
equilibrium in a pure exchange economy. They subdivide the price
space, being the n-dimensional unit simplex Sn, into simplices and
search for a simplex that yields an approximate equilibrium. So far,
we might say that the triengulations which underly all these
elgorithms are adaptions or generalizations to Sn of the well lmown
K1- and J1-triangulations of Rn. In [2], we proposed a new
2
simplicial subdivision of Rn, called the D1-triangulation, which ia
superior to the K1- end J1-triangulations. In order to improve the
algorithms on Sn, we want to construct a simpliciel subdivision of
Sn by using the D1-triangulation, which is auperior to the other
triangulations of Sn.
Section 2 introduces the new triangulation of Sn, called the
Ti-triangulation. We give the pivot rules of the Ti-triangulation in
section 3. It is compared with the Ki- and Ji-triangulations in
section 4.
2. A NEW TRIANGULATION OF THE UNIT SIMPLEX
Let m be a positive 3nteger. Let Cn(m) -{x E Rn ~ m 2 xl 2 x2
2... 2 xn 2 0}. Clearly, Cn(m) is an n-dimensional simplex in Rn
We first triangulate Cn(m) into n-dimensional simplices and then
trensform Cn(m) to the n-dimensional unit simplex Sn ~{x E Rnrl I
~iix~ - 1, and x~ 2 0 for j- 1, ..., n41}. For h- 1, ..., n, let
uh denote the h-th unit vector in Rn. Let T~c -{y E Cn(m) ~ all
components of y are odd}. Let y0 - m and yn{1 - 0. Let y E TOc Let
I- I(Y) -{i ~ yirl ~ Yi ~ Yi-1}.
I} - I4(Y) -{i ~ Yi~l - Yi ~ yi-1}.
I- ' I-ÍY) -{i ~ Yiil ~ Yi L Yi-1}.and J- J(Y) -{i I Yi.l - yi s yi-1}.Let N-{1, 2, .. , n}. It is obvious that for each y E TOc~
N- I(Y) u J(Y) ~ I~ÍY) v I-(Y)-
3
Let s L(sl' s2' " ' sn)T be a sign vector such that ai E{-1, tl}
fori z 1, 2, .. , n. LetT~T(y, s) -{i ~ iEI, oriEI`andsi3 1, or i E I- and si ~ -1}. Let rt be a permutation of the elementaof N. Let q- q(n) be a nonnegative integer such that rt(i) E T for
i- n-q.l, ... , n and n(n-q) ~ T. Let 0 5 p 5 q-1 be an integer.Assume n 2 2.
If q- n and p - 0, let y~ a y,
yk s y i sn(k)urt(k) k- 1, 2. ..., n.IfqLnandpx 1, lety0ayta,
Yk - Yk-1- sR(k)urt(k) k- 1. 2. ... . P-1,
Yk - Y ~ sR(k)urt(k). k- P, .... n.
When25q( n, lety~syt s,
Yk - Yk-1 - srt(k)urt(k) k- 1, 2, .. , n-q-1,
and if p - 0, let yn-q ~ y,
yk s y~ srt(k)urt(k), k~ n-q~l, .. , n,
and if p 2 1, letYk L yk-1 - srt(k)urt(k) k- n-q. . ... n-9~P-1,
Yk - Y t s~(k)urt(k) k- n-q'P. ..., n.
Whenq C2, lety~-yts,
Yk - Yk-1 - sR(k)un(k) k z 1. 2, .... n.~t y0 yl~ yn ye p~uced in the above manner, then it ís
obvious that they are affinely independent. Let o:(y0 yl~ .~
yn] be the convex hull of y0 yl yn Thus cs is an n-dimensio-nal simplex, which will be denoted by T1(y, n, s, p, q). Let T1(m)
be the set of all such simplices T1(y, R, s, p, q) in Cn(m).
4
Lemma 2.1. ~ c- Cn(m),vET1(m)
Proof. Let x E Cn(m). Let~xi~ .l, if ~xi~ is even end ~xi~ ( m,
yi - ~xi~-1, if ~xi~ is even and lxi~ - m,~xi~ , otherwise,
and let
(-1, if ~xi~ is even and ~xiJ ( m or ~xi~ i s odd and ~xi~ - m,si I
1, otherwise,for i- 1, 2, .. , n. Obviously, y-(y1, y2, . . , yn)T E T~c. Let rtbe a permutation of N such that 0 5 sn(1)(xn(1)
- yn(1)) Ssrt(2)(xn(2) - yn(2)) 5... s sn(n)(xn(n) - Yn(n)) 5 1, where in case
sn(i)(xrt(i) - Yn(i)) - sn(~)(xn(~) - Yrt(~)) and i~ j . then n(i) (
rt(j) if sn(i) --1. and n(i) ~ n(j) if sn(i) - 1. Let 4- 4(rt).When q( 2, let y0 - Y t s. Yk - Yk-1 - sn(k)urt(k) k: 1 2~
.... n, and let q~ - sn(1)(xn(1) - Yn(1)). 91 - sn(2)(xrt(2) - yn(2))- sn(1)(xrt(1) - yn(1)). ... . qn-1 ' sn(n)(xn(n) - yn(n)) -
srt(n-1)(xrt(n-1) - Yn(n-1)). ~ - 1 - ~z~qk ~ 1 - sn(n)(xn(n) -
~.n kyrt(n)). Obviously, ~:Cqk - 1, qk z 0 for all k, and x~ Lk-Oqky 'So x E C' [YC. Y1. .. . Yn] ~ Cn(m).
When q - n, the proof is similar to that of Lemma 2.2 in [2].Suppose 2 s q( n. If
Lk-n-9sn(k)(xn(k) - Yn(k)) - qsrt(n-q)(xn(n-q) - Yn(n-q))5 1,
5
let q~ - sn(1)(xrt(1) - yn(1)), 91 - Sn(2)(xrt(2) - Yn(2)) -
sn(1)(xrt(1) - Yn(1))' " ' `~n-q-1 - art(n-q)(xrt(n-q) - Yrt(n-q)) -
srt(n-q-1)(xn(n-q-1) - Yn(n-q-1)). ~-9 - 1 - (Lk:n-9sn(k)(xn(k) -yR(k)) - qsrt(n-qI(xn(n-q) - yrt(n-q))). ~-9~1 - srt(n-941)(xn(n-q~l)- Yrt(n-qfl)) - srt(n-q)(xrt(n-q) - yrt(n-q))'
... , qn a srt(n)(xrt(n) -yR(n)) - sR(n-q)(xrt(n-q) - Yrt(n-q)). P- 0. YO ' Y~ s. Yk - Yk-1 -
srt(k)un(k) k- 1. 2. .... n-q-1. yn-9 : Y. Yk ' Y} sn(k)un(k)~ k 3
n-qal, .. , n, then qk 2 0 for all k, ~~Oqk - 1, and x~~~Cqkyk
Thus x E v- IYO. Y1. -... Yk~ C Cn(m). If
Lk-n-9srt(k)(xrt(k) - Yrt(k)) - 9sn(n-q)(xrt(n-q) - Yn(n-q)) ) 1,
we show that there exists an integer 1 5 p 5 q-1 such that the
following system has a nonnegative solution,
q0 - srt(1)(xR(1) ' YR(1)).
q1 - aR(2)(xR(2) - yR(2)) - sR(lI(xrt(1) ' Yn(1)).
qn-q'P-2 - sn(n-q'P-1)(xrt(n-9fP-1) - YR(n-9tP-1)) - sn(n-9tP-2)
(xn(n-q'P-2) - YR(n-9rP-2)).
qn-9~P-1 - -srt(n-9~P-1)(xrt(n-9tP-1) - Yn(n-q~p-1)) }
(~-n-9}Psrr(k)(xrt(k) - YR(k)) - 1)I(q-P),
qk - gn(k)(xrt(k) - yR(k)) t( 1 - Lken-q~Pgrt(k)(xn(k) -Yrt(k)))I(q-P). k - n-q'P. .... n.
If qn-q~p-1 2 0 for p- q-1, it is clear that qk 2 0 for all k.
If not, then since ~k-n-qgn(k)(xn(k) - YR(k)) - qsn(n-q)(xn(n-q) -
yR(n-q)) ) 1, there exists an integer 1 S p~ 5 q-2 such that
6
-sR(n-9'P~-1)(xrt(n-9tP~-1) - yn(n-4'PD 1)) 4 ( Lk-n-9tP~srt(k)(xrt(k) -
yR(k)) - 1)I(9-PD) 2 0.
-sn(n-9~Pp)(xn(n-94Pp) - yrt(n-9~PC)) ; (Lk-n-4tpC.lsrt(k)(xrt(k) -
yn(k)) - 1)I(9-P~1) ( 0.
Hence. srt(n-9~P~)(xrt(n-9tP~) - yn(n-9tP~)) ' (1 - Lk-n-9tP~srt(k)
(xrt(k) - YR(k)))I(4-PQ) 2 sn(n-9'P~)(xn(n-9fP0) - yrt(n-9{P~)) ' ( -
(9-PO-1) an(n-94PC)(xrt(n-9tPC) - Yrt(n-9tP0)) - srt(n-9tP0)(xn(n-9;PC)
- Yn(n-q~p )))I(9-PC) - 0. Thus when P- PQ. 4k 2 0 for ell k.0
ObviouslY. Lk-09k ~ 1. Let YD - Y' s. Yk ' Yk-1 - sR(k)un(kI~ k-
1. 2. .... n-9iP-1. and yk - y. srt(k)urt(k). k- n-4tP. .... n. We
eesily obtain that x -~:Oqkyk. Therefore, x E o-(y0 yl~ .
Yn~ C Cn(m).
From the above conclusions, the lemma follows immediately.
Theorem 2.2. T1(m) is a triangulation of Cn(m).
Proof. From Lemma 2.1 and the definition, the theorem follows
ímmediately.
We call the triangulation T1(m) the T1-triangulation of Cn(m).
Let P be the (n41)xn matrix defined by
-11 -1
P z 1 ' .-11
and let ui -(1, 0, .. , O)T E Rnii. Clearly, Sn - m iPCn(m) t{ui}.
Let Tí :- m-iPTi .{ui} -{m iPa t{ui} I a E T1}.
Then T1 is s triangulation of Sn. It is called the Ti-triangulation
with grid aize m-1. For n- 2 and m S 4 and for n- 3 and m s 2 the
Ti-triangulation of Sn with grid size m-1 ís illustrated in the
figures 1 end 2, respectively.
3. THE PIVOT RULES OF THE Ti-TRIANGULATION
For convenience, we consider the pivot rules of the T1-
triangulation of Cn(m).
Let a z (Y0. Y1. .... Yn~ ' T1(Y. n. s, P. q) be given. We want
to obtain the parameters of ~-~y0 yi yn] - T1(Y n B pr
q) such that all vertices of a are its vertices except yi, in case
the facet of a opposite to vertex yi does not lie in the boundary of
Cn(m). In Table (3-1), we show how y, n, s, p, and q are determined
from y, R, s, p, q, and i. From this table, it ia easy to obtain
each vertex yk of c~, k- 0, 1, .. , n, and in particular its new
vertex.
8
4. THE COMIPARISON OF THE Ki-, Ji-, AND Ti-TRIANOULATIONS OF Sn
In [2], we have introduced the D1-triangulation of Rn and
demonstrated Lhat it is superior to the well known K1- and J1-
triangulations (see [1], [5], [10]) according to the number of
simplices in the unit cube, the diameter, the average direction
density, and the surface density. From the definition of the T1-
tríangulation of Cn(m), it can be seen that we use the D1-
triangulation to triangulate the interior of Cn(m) and the J1-
triangulation to triangulate the boundary of Cn(m), i.e., we obtain
the T1-triangulation of Cn(m) by combining the D1-triangulation and
the J1-triangulation. Hence, the T1-triangulation ia superiar to the
triangulations of Cn(m), which are obtained Prom the K1- and J1-
triangulations. Therefore, the Ti-triangulation is auperior to the
well Imown Ki- and Ji-triangulations (see [9] and [10]) of Sn
according to the same measures, where the K1- and Ji-triangulations
have been obtained from the K1- and J1-triangulationa in the same
way as the Ti- from the T1-triangulation.
9
Figure 1. Ti- triangulation of S2 with m'1 - U4.
ul
Figure 2. Ti- triangulation of S3 with m'i - 1~2
u4
u3
u2 u3
Table (3-1) The Pivot Rules of the T1-Triangulation
i P 9 n Y s n P 9
0 y s rt pal q
1 Y s n P-1 qn
25p5q-1 n(1)EI;(Y)uI-(Y) Y s-2s un(1)rt(1) n P-1 9-1
rt(1)~I~(Y)uI-(Y) Y s-2s un(1)n(1) rt P q0
n(1)EJ(Y) Y s-2s un(1)n(1) rt P 90
rt(1)EI`(Y)uI-(Y) Y s-2s un(1)rt(1) n P 9a11n-
rt(1)EJ(Y) Y s-2s un(1)rt(1) n P 91p2
n(1)EI'(Y)uI-(Y) Y s-2s un(1)n(1) rt p.l q.l
i P 9 n Y s rt P 9
0 q~n-1 y s-2s un(1)rt(1) rt P 9
n(1)EI}(Y)~I-ÍY) Y s-2s urt(1)n(1) rt P 4-10
rt(1)f~I}(Y)~I-(Y) Y s-2s un(1)rt(1) n P 9
i(p-1 Y s (n(1).....rt(itl). P 9rt(i).....n(n))
15isni-p-1 n y g n P-1 q
i)p-1 Y S ín(1).....n(P-1), p~1 qlsp(n-1 rtíi).rtÍP)....,
n(i-1).níi{1)....,rt(n))
n-1 y.2sn(n)un(n) s-2sn(n)unín) n 9(n)-1 9(n)n-1
n y.2s un(n-1)n(n-1) s-2s urt(n-1)
n(n-1) (ní1).....n(n). 9(rt)-1 q(n)n(n-1))
i P 9 rt Y s n P 4
isi5 Y s ~rt~l).....rt~iil). P 9n-q-2 rt~i).....rtin))
~ Y s Írt~l).....rtii.l). P 9~1n(i),...,rt(n))
1 Tnín-q- )E iY.s)n-q-1 pil Y s Írtil).....n~ifl). Ptl qtil
n(i).....rt(n))25q~n
rt~n-q-1)iLT~Y.s) Y s ~nÍl).....rtii41). P 9n~i).....rt~n))
0 y s rt ptl q
1 y s rt p-1 q
n-qp22 y s (nll).....rt~ial). P-1 9-1
rt(i).....rt(n))
1 P 9 n Y s rt P 9
n-q~i Y s írt(1).....rtÍitl). P 9Cn-9 n(i).....n(n))tp-1
n-9 P22 Y s n P-1 q ItP-1
n-q'P isp~9-1 y s n Pfl q-1(i
25q~nn-1 y.2srt(n)urt(n) s-2sn(n)unÍn) rt 9Ín)-1 9(n)
q-1n y.2s un(n-1)
rt(n-1) s-2s urt(n-1)n(n-1) (n(1).....n(n). 9(rt)-1 9(n)
.n(n-1))
n-9 0 Y s (n(1).....nín-q-1). P 9-1(i n(i).n(n-q)....,sn n(i-1).n(itl),...,
n(n))
i p q n y s rt P 9
15i Y s (rt(1).....n(ifl), P 9~n-2 rt(i).....n(n))
n Yt2srt(n}urt(n) s-2srt(n)~rt(n) n 9(rt)-1 9(rt)qC2
rt(i) E T(Y.s) Y g (rt(1).....rt(i.l}. P q41n(i)....,rt(n))
n-2rt(i) a T(Y.s) Y s (n(1).....n(i'1). P 9
rt(i)....,rt(n))
15
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[1] E.L. Allgower and K. Georg, "Simplicial and continuation
methods for approximating fixed points and solutions to systems
of equations", SIAM Review 22, 1980, pp. 28 - 85.
[2] C. Dang, "The D1-triangulation of Rn for simplicial slgorithms
[3]
for computing solutions of nonlinear equations", Discussion
Paper 8928, CentER for Economic Research, Tilburg University,
The Netherlends, 1989
T.M. Doup and A.J.J. Talman, "The 2-ray algorithm for solving
equilibrium problems on the unit simplex", Methods of
Operations Research 5~, 1987. PP. 269 - 285.
[4] T.M. Doup, G. van der Laan and A.J.J. Talman, "The (2n}1-2)-ray
algorithm: a new simplicial algorithm to compute economic
equilibria", Mathematical Programming 39, 1987, pp. 241 - 252.
[5] B.C. Eaves, A Course in Triangulations for Solving Equations
with Deformations, Springer Verlag, Berlin, 1984.
[6] M. Kojima and Y. Yamamoto, "A unified approach to the
[Ï]
implementation of several restart fixed point algorithms and a
new variable dimension algorithm", Mathematical Programming 28,
1984, PP. 288 - 328.
H.W. Kuhn, "Simplicial approximation of fixed points",
Proceedings National Academy of Sciences U.S.A. 61, 1968, pp.
1238 - 124z.
[8] G. van der Laan and A.J.J. Talman, "A restart algorithm for
computing fixed points without an extra dimension",Mathematical Programming 17, 19~9, pp. 74 - 84.
16
[9] H. Scarf and T. Hansen, The Computation of Economic Equilibria,
Yale University Press, New Haven, 1973.
[10] M.J. Todd, The Computation of Fixed Points and Applications,
Springer Verlag, Berlin, 1976.
[11] A.H. Wright, "The octahedral algorithm, a new simplicial fixed
point algorithm", Mathematical Progremming 21, 1981, pp. 4~ -
69.
Discussion Paper Series, CentER, Tilburg University. The Netherlands:
No. Author(s)
8801 Th. van de Klundertand F. van der Plceg
Title
Fiscal Policy and Finite Lives in Interde-pendent Economies with Real and Nominal WageRigidity
8802 J.R. Magnus andH. Pesaran
8803 A.A. Weber
8804 F. van der Ploeg andA.J. de Zeeuw
8805 M.F.J. Steel
8806 Th. Ten Raa endE.N. Wolff
8807 F. van der Ploeg
8901 Th. Ten Ras andP. Kop Jansen
8902 Th. Nijman and F. Palm
8903 A. van Soest,I. Woittiez, A. Kapteyn
8904 F. van der Plceg
8905 Th. van de Klundert andA. van Schaik
8906 A.J. Markink andF. van der Plceg
8907 J. Osiewalski
8908 M.F.J. Steel
The Bias of Forecasts from a First-orderAutoregression
The Credibility of Monetary Policies, Policy-makers' Reputation and the EMS-Hypothesis:Empirical Evidence from 13 Countries
Perfect Equilibrium in a Model of CompetitiveArms Accumulation
Seemingly Unrelated Regression EquationSystems under Diffuse Stochastic PriorInformation: A Recursive Analytical Approach
Secondary Products and the Measurement ofProductivity Growth
Monetary and Fiscal Policy in InterdependentEconomies with Capital Accumulation, Deathand Population Growth
The Choice of Model in the Construction ofInput-Output Ccefficients MatricesGeneralized Least Squares Estimation ofLinear Models Containing Rational FutureExpectations
Labour Supply, Income Taxes and HoursRestrictions in The Netherlands
Capital Accumulation, Inflation and Long-Run Conflict in International Objectives
Unemployment Persistence and Loss ofProductive Capacity: A Keynesian Approach
Dynamic Policy Simulation of Linear Modelswith Rational Expectations of Future Events:A Computer Package
Posterior Densities for Nonlinear Regressionwith Equicorrelated Errors
A Bayesian Analysis of Simultaneous EquationModels by Combining Recursive Analytical andNumerical Approaches
No. Author(s)
8909 F. van der Ploeg
8910 R. Gradus andA. de Zeeuw
8911 A.P. Barten
8912 K. Kamiye andA.J.J. Talman
8913 G. van der Laan andA.J.J. Talman
8914 J. Osiewalski andM.F.J. Steel
8915 R.P. Gilles, P.H. Ruysend J. Shou
8916 A. Kapteyn, P. Kooremanand A. van Soest
8917 F. canova8918 F. van der Ploeg
8919 W. Bossert andF. Stehling
8920 F. van der Ploeg
8921 D. Canning
8922 C. Fershtman andA. Fishman
8923 M.B. Canzoneri andC.A. Rogers
8924 F. Groot, C. Withagenand A. de Zeeuw
8925 O.P. Attanasio andG. Weber
Title
Two Essays on Political Economy(i) The Political Economy of Overvaluation(ii) Election Outcomes and the StockmarketCorporate Tax Rate Policy and Publicand Private Employment
Allais Characterisation of PreferenceStructures and the Structure of Demand
Simplicial Algorithm to Find Zero Pointsof a Function with Special Structure on aSimplotope
Price Rigidities and Rationing
A Bayesian Analysis of Exogeneity in ModelsPooling Time-Series and Cross-Section Data
On the Existence of Networks in RelationalModels
Quantity Rationing and Concavity in aFlexible Household Labor Supply Model
Seasonalities in Foreign Exchange Markets
Monetary Disinflation, Fiscal Expansion andthe Current Account in an InterdependentWorld
On the Uniqueness of Cardinally InterpretedUtility Functiona
Monetary Interdependence under AlternativeExchange-Rate Regimes
Bottlenecks and Persistent Unemployment:Why Do Booms End?
Price Cycles end Booms: Dynamic SearchEquilibrium
Is the European Community an Optimal CurrencyArea? Optimal Tax Smoothing veraus the Costof Multiple Currenciea
Theory of Natural Exhaustible Resources:The Cartel-Versus-Fringe Model Reconsidered
Consumption, Productivity Growth and theInterest Rate
No. Author(s)
8926 N. Rankin
8927 Th. van de Klundert
8928 c. Dang
8929 M.F.J. Steel andJ.F. Richard
893o F. van der Ploeg
8931 H.A. Keuzenkamp
8932 E, van Damme, R. Seltenand E. Winter
8933 H. Carlsson andE. van Damme
8934 H. Huizinga
8935 c. Dang anaD. Talman
Title
Monetary and Fiscal Policy in a'Hartian'Model of Imperfect CompetitionReducing External Debt in a World withImperfect Asset and Imperfect CommoditySubstitution
The D1-Triangulation of Rn for SimplicialAlgorithms for Computing Solutions ofNonlinear Equations
Bayesian Multivariate Exogeneity Analysis:An Application to a UK Money Demand Equation
Fiscal Aspects of Monetary Integration inEurope
The Prehistory of Rational Expectations
Alternating Bid Bargaining with a SmallestMoney Unit
Global Payoff Uncertainty and Risk Dominance
National Tax Policies towards Product-Innovating Multinational Enterprises
A New Triangulation of the Unit Simplex forComputing Economic Equilibria
pn Rnx an~~~ ~nnn ~ F T~~ R~ ~Rr TI-IF NFTI-IFRLANBibliotheek K. U. Brabantui ~ u nwiw~~ M mw u~i~u