Smale's problems explained

Smale's problems are a list of eighteen unsolved problems in mathematics proposed by Steve Smale in 1998[1] and republished in 1999.[2] Smale composed this list in reply to a request from Vladimir Arnold, then vice-president of the International Mathematical Union, who asked several mathematicians to propose a list of problems for the 21st century. Arnold's inspiration came from the list of Hilbert's problems that had been published at the beginning of the 20th century.

Table of problems

width=6% Problemwidth=44% class="unsortable" Brief explanationwidth=44% Statuswidth=6% Year Solved
1stRiemann hypothesis

The real part of every non-trivial zero of the Riemann zeta function is 1/2. (see also Hilbert's eighth problem)

2ndPoincaré conjecture

Every simply connected, closed 3-manifold is homeomorphic to the 3-sphere.

2003
3rdP versus NP problem

For all problems for which an algorithm can verify a given solution quickly (that is, in polynomial time), can an algorithm also find that solution quickly?

4thShub–Smale tau-conjecture on the integer zeros of a polynomial of one variable[3] [4]
5thCan one decide if a Diophantine equation ƒ(x, y) = 0 (input ƒ ∈ \mathbb [''u'', ''v'' ]) has an integer solution, (x, y), in time (2s)c for some universal constant c? That is, can the problem be decided in exponential time?
6thIs the number of relative equilibria (central configurations) finite in the n-body problem of celestial mechanics, for any choice of positive real numbers m1, ..., mn as the masses?2012
7thAlgorithm for finding set of

(x1,...,xN)

such that the function:

VN(x)=\sum1log

1
\|xi-xj\|
is minimized for a distribution of N points on a 2-sphere. This is related to the Thomson problem.
8thExtend the mathematical model of general equilibrium theory to include price adjustmentsGjerstad (2013)[5] extends the deterministic model of price adjustment by Hahn and Negishi (1962)[6] to a stochastic model and shows that when the stochastic model is linearized around the equilibrium the result is the autoregressive price adjustment model used in applied econometrics. He then tests the model with price adjustment data from a general equilibrium experiment. The model performs well in a general equilibrium experiment with two commodities. Lindgren (2022)[7] provides a dynamic programming model for general equilibrium with price adjustments, where price dynamics are given by a Hamilton-Jacobi-Bellman partial differerential equation. Good Lyapunov stability conditions are provided as well.
9thThe linear programming problem: Find a strongly-polynomial time algorithm which for given matrix A ∈ Rm×n and b ∈ Rm decides whether there exists x ∈ Rn with Ax ≥ b.
10thPugh's closing lemma (higher order of smoothness)2016
11thIs one-dimensional dynamics generally hyperbolic?

(a) Can a complex polynomial be approximated by one of the same degree with the property that every critical point tends to a periodic sink under iteration?

(b) Can a smooth map be approximated by one which is hyperbolic, for all ?
2007
12thFor a closed manifold

M

and any

r\geq1

let

Diffr(M)

be the topological group of

Cr

diffeomorphisms of

M

onto itself. Given arbitrary

A\inDiffr(M)

, is it possible to approximate it arbitrary well by such

T\inDiffr(M)

that it commutes only with its iterates?In other words, is the subset of all diffeomorphisms whose centralizers are trivial dense in

Diffr(M)

?
2009
13thHilbert's 16th problem

Describe relative positions of ovals originating from a real algebraic curve and as limit cycles of a polynomial vector field on the plane.

14thDo the properties of the Lorenz attractor exhibit that of a strange attractor?2002
15thDo the Navier–Stokes equations in R3 always have a unique smooth solution that extends for all time?
16thJacobian conjecture

If the Jacobian determinant of F is a non-zero constant and k has characteristic 0, then F has an inverse function G : kN → kN, and G is regular (in the sense that its components are polynomials).

17thSolving polynomial equations in polynomial time in the average case2008-2016
18thLimits of intelligence (it talks about the fundamental problems of intelligence and learning, both from the human and machine side)[8] Some recent authors have claimed results, including the unlimited nature of human intelligence [9] and limitations on neural-network-based artificial intelligence[10]

In later versions, Smale also listed three additional problems, "that don't seem important enough to merit a place on our main list, but it would still be nice to solve them:"[11] [12]

  1. Mean value problem
  2. Is the three-sphere a minimal set (Gottschalk's conjecture)?
  3. Is an Anosov diffeomorphism of a compact manifold topologically the same as the Lie group model of John Franks?

See also

Notes and References

  1. Steve . Smale. Mathematical Problems for the Next Century. Mathematical Intelligencer. 1998. 20. 2. 7–15. 10.1.1.35.4101. 10.1007/bf03025291. 1331144.
  2. Book: Smale, Steve . V. I. . Arnold . M. . Atiyah . P. . Lax . B. . Mazur . Mathematics: frontiers and perspectives . American Mathematical Society. 1999. 271–294 . Mathematical problems for the next century. 978-0-8218-2070-4.
  3. Shub . Michael . Smale . Steve . On the intractability of Hilbert's Nullstellensatz and an algebraic version of "NP≠P?" . 0882.03040 . Duke Math. J. . 81 . 47–54 . 1995 . 10.1215/S0012-7094-95-08105-8 .
  4. Book: Bürgisser . Peter . Completeness and reduction in algebraic complexity theory . 0948.68082 . Algorithms and Computation in Mathematics . 7 . Berlin . . 2000 . 978-3-540-66752-0 . 141 .
  5. Steven . Gjerstad . Price Dynamics in an Exchange Economy . Economic Theory . 52 . 2 . 2013 . 461–500. 10.1007/s00199-011-0651-5. 10.1.1.415.3888 . 15322190 .
  6. Frank . Hahn . A theorem on non-tatonnement stability . Econometrica . 30 . 1962 . 463–469.
  7. Jussi . Lindgren . General Equilibrium with Price Adjustments—A Dynamic Programming Approach. Analytics . 1 . 1 . 2022 . 27–34. 10.3390/analytics1010003 . free .
  8. Web site: Tucson - Day 3 - Interview with Steve Smale . February 3, 2006 . Recursivity.
  9. S. . Acharjee . U. . Gogoi . The limit of human intelligence . . 10 . 2024 . e32465 . 10.1016/j.heliyon.2024.e32465. free . 2310.10792 .
  10. M. J. . Colbroke. A. . Vegard . A. C. . Hansen . The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale’s 18th problem . . 12 . 2022 . e2107151119 . 10.1073/pnas.2107151119 . free . 2101.08286 .
  11. Web site: Mathematical Problems for the Next Century. Smale. Steve.
  12. Smale. Steve. Mathematical problems for the next century, Mathematics: Frontiers and perspectives. American Mathematical Society, Providence, RI. 271–294.