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Nonlinear Equations - UFRJ

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Chapter 10<br />

Homotopy<br />

Several recent breakthroughs made Smale’s 17 th problem<br />

an active, fast-moving subject. The first part of the Bézout saga<br />

[70–74] culminated in the existential proof of a non-uniform, average<br />

polynomial time algorithm to solve Problem 1.11. Namely,<br />

Theorem 10.1 (Shub and Smale). Let H d be endowed with the normal<br />

(Gaussian) probability distribution dH d with mean zero and variance<br />

1.<br />

There is a constant c such that, for every n, for every d =<br />

(d 1 , . . . , d n ), there is an algorithm to find an approximated root of a<br />

random f ∈ (H d , dH d ) within expected time cN 4 , where N = dim H d<br />

is the input size.<br />

This theorem was published in 1994, and motivated the statement<br />

of Smale’s 17 th problem. It was obtained through the painful complexity<br />

analysis of a linear homotopy method. Given F 0 , F 1 ∈ H d<br />

and x 0 and approximate zero of F 0 , the homotopy method was of the<br />

Gregorio Malajovich, <strong>Nonlinear</strong> equations.<br />

28 o Colóquio Brasileiro de Matemática, IMPA, Rio de Janeiro, 2011.<br />

Copyright c○ Gregorio Malajovich, 2011.<br />

135

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