Available in electronic format
Available in print format
Mathematics of Computation
Journal of the American Mathematical Society
ISSN 1088-6842(e) ISSN 0025-5718(p)
     

An infinite family of bounds on zeros of analytic functions and relationship to Smale's bound

Author(s): Bahman Kalantari.
Journal: Math. Comp. 74 (2005), 841-852.
MSC (2000): Primary 12D10, 65H05, 30C15, 68Q25
Posted: May 28, 2004
Corrigenda: Math. Comp. 74 (2005), 2101.
Retrieve article in: PDF

Abstract | References | Similar articles | Additional information

Abstract: Smale's analysis of Newton's iteration function induce a lower bound on the gap between two distinct zeros of a given complex-valued analytic function $f(z)$. In this paper we make use of a fundamental family of iteration functions $B_m(z)$, $m \geq 2$, to derive an infinite family of lower bounds on the above gap. However, even for $m=2$, where $B_2(z)$ coincides with Newton's, our lower bound is more than twice as good as Smale's bound or its improved version given by Blum, Cucker, Shub, and Smale. When $f(z)$ is a complex polynomial of degree $n$, for small $m$ the corresponding bound is computable in $O(n \log n)$ arithmetic operations. For quadratic polynomials, as $m$ increases the lower bounds converge to the actual gap. We show how to use these bounds to compute lower bounds on the distance between an arbitrary point and the nearest root of $f(z)$. In particular, using the latter result, we show that, given a complex polynomial $f(z)=a_n z^n + \cdots + a_0$, $a_na_0 \not=0$, for each $m \geq 2$ we can compute upper and lower bounds $U_m$ and $L_m$ such that the roots of $f(z)$ lie in the annulus $\{z : L_m \leq \vert z\vert \leq U_m\}$. In particular, $L_2={1 \over 2}/\max \{ \vert{{a_k} / {a_0}}\vert^{1/k}: k=1, \dots, n\}$, $U_2=2 \max \{ \vert{{a_{n-k}} / {a_n}}\vert^{1/k}: k=1, \dots, n\}$; and $L_3 =[(\sqrt{5}-1)/2] / \max \{ ({{\vert a_1a_{k-1}-a_0a_{k}\vert} / {\vert a_0^2\vert}})^{1/k}: k=2, \dots, n+1 \}$, $U_3 = [(\sqrt{5}+1)/2] \max \{ ({{\vert a_{n-1}a_{n-k+1}-a_na_{n-k}\vert} / {\vert a_n^2\vert}} )^{1/k}: k=2, \dots, n+1 \}$, where $a_{-1}=a_{n+1}=0$. An application of the latter bounds is within Weyl's classical quad-tree algorithm for computing all roots of a given complex polynomial.


References:

1.
L. Blum, F. Cucker, M. Shub, S. Smale, Complexity and Real Computation, Springer-Verlag, New York, 1998.MR 99a:68070

2.
J.-P. Dediue, Estimation for the separation number of a polynomial system, J. Symbolic Computation 24 (1997), 683-693.MR 99b:65065

3.
E. Halley, A new, exact, and easy method of finding roots of any equations generally, and that without any previous reduction, Philos. Trans. Roy. Soc. London, 18 (1694), 136-145.

4.
P. Henrici, Applied and Computational Complex Analysis, Vol. I, Wiley, New York, 1974. MR 51:8378

5.
A.S. Householder, The Numerical Treatment of a Single Nonlinear Equation, McGraw-Hill, New York, 1970. MR 52:9593

6.
B. Kalantari, and I. Kalantari, High order iterative methods for approximating square roots, BIT 36 (1996), 395-399. MR 97k:65039

7.
B. Kalantari, I. Kalantari, and R. Zaare-Nahandi, A basic family of iteration functions for polynomial root finding and its characterizations, J. of Comp. and Appl. Math., 80 (1997), 209-226. MR 98d:65066

8.
B. Kalantari, On the order of convergence of a determinantal family of root-finding methods, BIT 39 (1999), 96-109. MR 2000b:65099

9.
B. Kalantari, Generalization of Taylor's theorem and Newton's method via a new family of determinantal interpolation formulas and its applications, J. of Comp. and Appl. Math., 126 (2000), 287-318.MR 2001m:41035

10.
B. Kalantari, Approximation of polynomial root using a single input and the corresponding derivative values, Technical Report DCS-TR 369, Department of Computer Science, Rutgers University, New Brunswick, New Jersey, 1998.

11.
B. Kalantari, Halley's method is the first member of an infinite family of cubic order root-finding methods, Technical Report DCS-TR 370, Department of Computer Science, Rutgers University, New Brunswick, New Jersey, 1998.

12.
B. Kalantari and J. Gerlach, Newton's method and generation of a determinantal family of iteration functions, J. of Comp. and Appl. Math., 116 (2000), 195-200. MR 2000k:65098

13.
B. Kalantari, New formulas for approximation of $\pi$and other transcendental numbers, Numerical Algorithms 24 (2000), 59-81. MR 2001h:11087

14.
B. Kalantari, On homogeneous linear recurrence relations and approximation of zeros of complex polynomials, in Unusual Applications in Number Theory (M.B. Nathanson, Ed.), DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 64, 2000, pp. 125-143.

15.
B. Kalantari and S. Park, A computational comparison of the first nine members of a determinantal family of root-finding methods, J. of Comp. and Appl. Math., 130 (2001), 197-204. MR 2002b:65079

16.
B. Kalantari and Y. Jin, On extraneous fixed-points of the basic family of iteration functions, BIT, 43 (2003), 453-458.

17.
B. Kalantari, Polynomiography: A new intersection between mathematics and art, Technical Report DCS-TR 506, Department of Computer Science, Rutgers University, New Brunswick, New Jersey, 2002 (www.polynomiography.com)

18.
B. Kalantari, A generalization of Smale's one-point theory for the basic family, Department of Computer Science, Rutgers University, New Brunswick, New Jersey, forthcoming.

19.
V. Y. Pan, Solving a polynomial equation: some history and recent progress, SIAM Review, 39 (1997), 187-220.MR 99b:65066

20.
T. R. Scavo and J. B. Thoo, On the geometry of Halley's method, Amer. Math. Monthly, 102 (1995), 417-426. MR 96f:01019

21.
E. Schröder, On infinitely many algorithms for solving equations (German), Math. Ann. 2 (1870) 317-365.(English translation by G.W. Stewart, TR-92-121, Institute for Advanced Computer Studies, University of Maryland, College Park, MD, 1992.)

22.
M. Shub and S. Smale, Computational complexity: On the geometry of polynomials and a theory of cost, Part I, Ann. Sci. Ecole Norm. Sup., 18 (1985), 107-142. MR 87m:68043

23.
S. Smale, Newton's method estimates from data at one point, in The Merging of Disciplines: New Directions in Pure, Applied, and Computational Mathematics, R. E. Ewing, K.I. Gross, C. F. Martin, eds., Springer-Verlag, New York, pp. 185-196, 1986. MR 88e:65076

24.
J. F. Traub, Iterative Methods for the Solution of Equations, Englewood Cliffs, NJ, Prentice Hall, 1964. MR 29:6607

25.
E. R. Vrscay and W. J. Gilbert, Extraneous Fixed Points, Basin Boundaries and Chaotic Dynamics for Schröder and König Iteration Functions, Numer. Math. 52, 1-16 (1988). MR 89b:30026

26.
T. J. Ypma, Historical development of Newton-Raphson method, SIAM Review, 37 (1995), 531-551. MR 97b:01003

27.
H. Weyl, Randbemerkungen zu Hauptproblemen der Mathematik. II. Fundamentalsatz der Algebra und Grundlagen der Mathematik, Math. Z. 20 (1924), 142-150.


Similar Articles:

Retrieve articles in Mathematics of Computation with MSC (2000): 12D10, 65H05, 30C15, 68Q25

Retrieve articles in all Journals with MSC (2000): 12D10, 65H05, 30C15, 68Q25


Additional Information:

Bahman Kalantari
Affiliation: Department of Computer Science, Rutgers University, New Brunswick, New Jersey 08903
Email: kalantar@cs.rutgers.edu

DOI: 10.1090/S0025-5718-04-01686-2
PII: S 0025-5718(04)01686-2
Keywords: Newton's method, Smale's separation lower bound, fixed-points, basic family
Received by editor(s): May 5, 2003
Received by editor(s) in revised form: October 2, 2003
Posted: May 28, 2004
Copyright of article: Copyright 2004, American Mathematical Society


  AMS Website Logo Small Comments: webmaster@ams.org
© Copyright 2009, American Mathematical Society
Privacy Statement
Search the AMSPowered by Google