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Bruno Codenotti

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7 papers
2 author rows

Possible papers

7

TCS Journal 2008 Journal Article

The complexity of equilibria: Hardness results for economies via a correspondence with games

  • Bruno Codenotti
  • Amin Saberi
  • Kasturi Varadarajan
  • Yinyu Ye

We give a reduction from any two-player game to a special case of the Leontief exchange economy, with the property that the Nash equilibria of the game and the equilibria of the market are in one-to-one correspondence. Our reduction exposes a computational hurdle inherent in solving certain families of market equilibrium problems: finding an equilibrium for Leontief economies is at least as hard as finding a Nash equilibrium for two-player nonzero sum games, a problem recently proven to be P P A D -complete. As a corollary of the one-to-one correspondence, we obtain a number of hardness results for questions related to the computation of market equilibria, using results already established for games [I. Gilboa, E. Zemel, Nash and correlated equilibria: Some complexity considerations, Games and Economic Behavior 1 (1989) 80–93]. In particular, among other results, we show that it is N P -hard to say whether a particular family of Leontief exchange economies, that is guaranteed to have at least one equilibrium, has more than one equilibrium. Perhaps more importantly, we also prove that it is N P -hard to decide whether a Leontief exchange economy has an equilibrium. This fact should be contrasted against the known P P A D -completeness result of [C. H. Papadimitriou, On the complexity of the parity argument and other inefficient proofs of existence, Journal of Computer and System Sciences 48 (1994) 498–532], which holds when the problem satisfies some standard sufficient conditions that make it equivalent to the computational version of Brouwer’s Fixed Point Theorem.

STOC Conference 2005 Conference Paper

Market equilibrium via the excess demand function

  • Bruno Codenotti
  • Benton McCune
  • Kasturi R. Varadarajan

We consider the problem of computing market equilibria and show three results. (i) For exchange economies satisfying weak gross substitutability we analyze a simple discrete version of tâtonnement, and prove that it converges to an approximate equilibrium in polynomial time. This is the first polynomial-time approximation scheme based on a simple atonnement process. It was only recently shown, using vastly more sophisticated techniques, that an approximate equilibrium for this class of economies is computable in polynomial time. (ii) For Fisher's model, we extend the frontier of tractability by developing a polynomial-time algorithm that applies well beyond the homothetic case and the gross substitutes case. (iii) For production economies, we obtain the first polynomial-time algorithms for computing an approximate equilibrium when the consumers' side of the economy satisfies weak gross substitutability and the producers' side is restricted to positive production.

TCS Journal 2000 Journal Article

Some structural properties of low-rank matrices related to computational complexity

  • Bruno Codenotti
  • Pavel Pudlák
  • Giovanni Resta

We consider the problem of the presence of short cycles in the graphs of nonzero elements of matrices which have sublinear rank and nonzero entries on the main diagonal, and analyze the connection between these properties and the rigidity of matrices. In particular, we exhibit a family of matrices which shows that sublinear rank does not imply the existence of triangles. This family can also be used to give a constructive bound of the order of k3/2 on the Ramsey number R(3, k), which matches the best-known bound. On the other hand, we show that sublinear rank implies the existence of 4-cycles. Finally, we prove some partial results towards establishing lower bounds on matrix rigidity and consequently on the size of logarithmic depth arithmetic circuits for computing certain explicit linear transformations.

TCS Journal 1997 Journal Article

Parallel algorithms for certain matrix computations

  • Bruno Codenotti
  • Biswa N. Datta
  • Karabi Datta
  • Mauro Leoncini

The complexity of performing matrix computations, such as solving a linear system, inverting a nonsingular matrix or computing its rank, has received a lot of attention by both the theory and the scientific computing communities. In this paper we address some “nonclassical” matrix problems that find extensive applications, notably in control theory. More precisely, we study the matrix equations AX + XA T = C and AX − XB = C, the “inverse” of the eigenvalue problem (called pole assignment), and the problem of testing whether the matrix [B AB … A n−1 B] has full row rank. For these problems we show two kinds of PRAM algorithms: on one side very fast, i. e. polylog time, algorithms and on the other side almost linear time and processor efficient algorithms. In the latter case, the algorithms rely on basic matrix computations that can be performed efficiently also on realistic machine models.

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