18 unsolved problems in mathematics (published 1999)
Smale's problems is 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.
P 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?
Can one decide if a Diophantine equationƒ(x, y) = 0 (input ƒ ∈ [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?
Partially resolved. Proved for almost all systems of five bodies by A. Albouy and V. Kaloshin in 2012.[8]
2012
7th
Algorithm for finding set of such that the function: is minimized for a distribution of N points on a 2-sphere. This is related to the Thomson problem.
Gjerstad (2013)[9] extends the deterministic model of price adjustment by Hahn and Negishi (1962)[10] 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)[11] 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.
Partially resolved. Proved for Hamiltonian diffeomorphisms of closed surfaces by M. Asaoka and K. Irie in 2016.[12]
2016
11th
Is one-dimensional dynamics generally hyperbolic?
(a) Can a complex polynomial T 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 T : [0,1] → [0,1] be Cr approximated by one which is hyperbolic, for all r > 1?
(a) Unresolved, even in the simplest parameter space of polynomials, the Mandelbrot set.
(b) Resolved. Proved by Kozlovski, Shen and van Strien.[13]
2007
12th
For a closed manifold and any let be the topological group of diffeomorphisms of onto itself. Given arbitrary , is it possible to approximate it arbitrary well by such that it commutes only with its iterates?
In other words, is the subset of all diffeomorphisms whose centralizers are trivial dense in ?
Partially resolved. Solved in the C1topology by Christian Bonatti, Sylvain Crovisier and Amie Wilkinson[14] in 2009. Still open in the Cr topology for r > 1.
Resolved. C. Beltrán and L. M. Pardo found two uniform probabilistic algorithms (average Las Vegas algorithm) for Smale's 17th problem[16][17][18]
F. Cucker and P. Bürgisser made the smoothed analysis of a probabilistic algorithm à la Beltrán-Pardo and then exhibited a deterministic algorithm running in time .[19]
Finally, P. Lairez found an alternative method to de-randomize the algorithm à la Beltrán-Pardo and thus found a deterministic algorithm which runs in average polynomial time.[20]
All these works follow Shub and Smale's foundational work (the "Bezout series") started in [21]
2008-2016
18th
Limits of intelligence (it talks about the fundamental problems of intelligence and learning, both from the human and machine side)[22]
Some recent authors have claimed results, including the unlimited nature of human intelligence [23] and limitations on neural-network-based artificial intelligence[24]
–
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:"[25][26]
^Smale, Steve (1999). "Mathematical problems for the next century". In Arnold, V. I.; Atiyah, M.; Lax, P.; Mazur, B. (eds.). Mathematics: frontiers and perspectives. American Mathematical Society. pp. 271–294. ISBN978-0-8218-2070-4.
^Perelman, Grigori (2003). "Ricci flow with surgery on three-manifolds". arXiv:math.DG/0303109.
^Perelman, Grigori (2003). "Finite extinction time for the solutions to the Ricci flow on certain three-manifolds". arXiv:math.DG/0307245.
^Shub, Michael; Smale, Steve (1995). "On the intractability of Hilbert's Nullstellensatz and an algebraic version of "NP≠P?"". Duke Math. J. 81: 47–54. doi:10.1215/S0012-7094-95-08105-8. Zbl0882.03040.
^Bürgisser, Peter (2000). Completeness and reduction in algebraic complexity theory. Algorithms and Computation in Mathematics. Vol. 7. Berlin: Springer-Verlag. p. 141. ISBN978-3-540-66752-0. Zbl0948.68082.
^Lairez, Pierre (2016). "A deterministic algorithm to compute approximate roots of polynomial systems in polynomial average time". Foundations of Computational Mathematics. to appear (5): 1265–1292. arXiv:1507.05485. doi:10.1007/s10208-016-9319-7. S2CID8333924.
^Shub, Michael; Smale, Stephen (1993). "Complexity of Bézout's theorem. I. Geometric aspects". J. Amer. Math. Soc. 6 (2): 459–501. doi:10.2307/2152805. JSTOR2152805..
^Smale, Steve. "Mathematical problems for the next century, Mathematics: Frontiers and perspectives". American Mathematical Society, Providence, RI: 271–294.