The Boolean formula value problem is in ALOGTIME
STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Problems complete for deterministic logarithmic space
Journal of Algorithms
An optimal parallel algorithm for formula evaluation
SIAM Journal on Computing
The complexity of matrix rank and feasible systems of linear equations
Computational Complexity
Uniform constant-depth threshold circuits for division and iterated multiplication
Journal of Computer and System Sciences - Complexity 2001
A Note on the Hardness of Tree Isomorphism
COCO '98 Proceedings of the Thirteenth Annual IEEE Conference on Computational Complexity
Derandomizing polynomial identity tests means proving circuit lower bounds
Computational Complexity
The complexity of two problems on arithmetic circuits
Theoretical Computer Science
Read-once polynomial identity testing
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Computational Complexity: A Modern Approach
Computational Complexity: A Modern Approach
The orbit problem is in the GapL hierarchy
Journal of Combinatorial Optimization
Derandomizing Polynomial Identity Testing for Multilinear Constant-Read Formulae
CCC '11 Proceedings of the 2011 IEEE 26th Annual Conference on Computational Complexity
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
MFCS'12 Proceedings of the 37th international conference on Mathematical Foundations of Computer Science
On Enumerating Monomials and Other Combinatorial Structures by Polynomial Interpolation
Theory of Computing Systems
Arithmetic Circuits: A Chasm at Depth Three
FOCS '13 Proceedings of the 2013 IEEE 54th Annual Symposium on Foundations of Computer Science
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We study the problem of testing if the polynomial computed by an arithmetic circuit is identically zero. We give a deterministic polynomial time algorithm for this problem when the inputs are read-twice or read-thrice formulas. In the process, these algorithms also test if the input circuit is computing a multilinear polynomial. We further study three related computational problems on arithmetic circuits. Given an arithmetic circuit C, (1) ZMC: test if a given monomial in C has zero coefficient or not, (2) MonCount: compute the number of monomials in C, and (3) MLIN: test if C computes a multilinear polynomial or not. These problems were introduced by Fournier, Malod and Mengel (2012) [11], and shown to characterise various levels of the counting hierarchy (CH). We address the above problems on read-restricted arithmetic circuits and branching programs. We prove several complexity characterisations for the above problems on these restricted classes of arithmetic circuits.