On the Power of Homogeneous Algebraic Formulas
- Hervé Fournier,
- ,
- Srikanth Srinivasan,
- Sébastien Tavenas
- Institut de Mathématiques de Jussieu - Paris Rive Gauche,
- ,
- University of Copenhagen,
- University Savoie Mont Blanc
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Conference Article in Proceeding or Book/Report chapter
Article in proceedings
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Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 141-151 (11 pages)Publication milestones
- Published - 10/06/2024
Publication status
Published - 10/06/2024
Place of publication
New York, USA Publisher
Association for Computing Machinery, United StatesISBN (Electronic)
9798400703836Publication IDs
- ORCID: /0000-0002-0238-1674/work/161397612
- Scopus: 85196675825
Host publication title
On the Power of Homogeneous Algebraic FormulasAbstract
Proving explicit lower bounds on the size of algebraic formulas is a long-standing open problem in the area of algebraic complexity theory. Recent results in the area (e.g. a lower bound against constant-depth algebraic formulas due to Limaye, Srinivasan, and Tavenas (FOCS 2021)) have indicated a way forward for attacking this question: show that we can convert a general algebraic formula to a homogeneous algebraic formula with moderate blow-up in size, and prove strong lower bounds against the latter model. Here, a homogeneous algebraic formula F for a polynomial P is a formula in which all subformulas compute homogeneous polynomials. In particular, if P is homogeneous of degree d, F does not contain subformulas that compute polynomials of degree greater than d. We investigate the feasibility of the above strategy and prove a number of positive and negative results in this direction.
Lower bounds against weighted homogeneous formulas: We show the first lower bounds against homogeneous formulas of any depth in the weighted setting. Here, each variable has a given weight and the weight of a monomial is the sum of weights of the variables in it. This result builds on a lower bound of Hrubeš and Yehudayoff (Computational Complexity 2011) against homogeneous multilinear formulas. This result is strong indication that lower bounds against homogeneous formulas are within reach. Improved (quasi-)homogenization for formulas: A simple folklore argument shows that any formula F for a homogeneous polynomial of degree d can be homogenized with a size blow-up of dO(logs). We show that this can be improved superpolynomially over fields of characteristic 0 as long as d = so(1). Such a result was previously only known when d = (logs)1+o(1) (Raz (J. ACM 2013)). Further, we show how to get rid of the condition on d at the expense of getting a quasi-homogenization result: this means that subformulas can compute polynomials of degree up to poly(d). Lower bounds for non-commutative homogenization: A recent result of Dutta, Gesmundo, Ikenmeyer, Jindal and Lysikov (2022) implies that to homogenize algebraic formulas of any depth, it suffices to homogenize non-commutative algebraic formulas of depth just 3. We are able to show strong lower bounds for such homogenization, suggesting barriers for this approach. No Girard-Newton identities for positive characteristic: In characteristic 0, it is known how to homogenize constant-depth algebraic formulas with a size blow-up of exp(O(√d)) using the Girard-Newton identities. Finding analogues of these identities in positive characteristic would allow us, paradoxically, to show lower bounds for constant-depth formulas over such fields. We rule out a strong generalization of Girard-Newton identities in the setting of positive characteristic, suggesting that a different approach is required.
Lower bounds against weighted homogeneous formulas: We show the first lower bounds against homogeneous formulas of any depth in the weighted setting. Here, each variable has a given weight and the weight of a monomial is the sum of weights of the variables in it. This result builds on a lower bound of Hrubeš and Yehudayoff (Computational Complexity 2011) against homogeneous multilinear formulas. This result is strong indication that lower bounds against homogeneous formulas are within reach. Improved (quasi-)homogenization for formulas: A simple folklore argument shows that any formula F for a homogeneous polynomial of degree d can be homogenized with a size blow-up of dO(logs). We show that this can be improved superpolynomially over fields of characteristic 0 as long as d = so(1). Such a result was previously only known when d = (logs)1+o(1) (Raz (J. ACM 2013)). Further, we show how to get rid of the condition on d at the expense of getting a quasi-homogenization result: this means that subformulas can compute polynomials of degree up to poly(d). Lower bounds for non-commutative homogenization: A recent result of Dutta, Gesmundo, Ikenmeyer, Jindal and Lysikov (2022) implies that to homogenize algebraic formulas of any depth, it suffices to homogenize non-commutative algebraic formulas of depth just 3. We are able to show strong lower bounds for such homogenization, suggesting barriers for this approach. No Girard-Newton identities for positive characteristic: In characteristic 0, it is known how to homogenize constant-depth algebraic formulas with a size blow-up of exp(O(√d)) using the Girard-Newton identities. Finding analogues of these identities in positive characteristic would allow us, paradoxically, to show lower bounds for constant-depth formulas over such fields. We rule out a strong generalization of Girard-Newton identities in the setting of positive characteristic, suggesting that a different approach is required.
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Funding Details
The authors would like to thank Guillaume Malod for many helpful discussions. Part of this work was done while NL and SS were visiting the Simons Institute for the Theory of Computing, UC Berkeley for the Meta-Complexity program. NL was also supported by funding from the Independent Research Fund Denmark (grant
agreement No. 10.46540/3103-00116B) and the Basic Algorithms Research Copenhagen(BARC), supported by VILLUM Foundation Grant 16582. SS is also grateful for a research visit sponsored by the Guest researchers faculty program at Université Paris Cité in summer 2022, where the work was initiated. ST is supported by ANR project - VONBICA - ANR-22-CE48-0007.
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ACM Symposium on Theory of Computing
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24/06/2024 - 28/06/2024Location
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