Abstract
Consider a smart chimpanzee named M from a tribe afflicted with a form of Alzheimer’s disease. Think of M as a logspace-bounded Turing machine. M can do simple things like integer arithmetic and matrix multiplication, but M turns sullen and calls for help when asked to perform seemingly equally simple tasks, such as simulating deterministic tree and dag automata.
Is M acting difficult or is she just not smart enough?
Even before the P versus NP question, Cook [3] conjectured that no amount of smarts can compensate for Alzheimer’s disease.
We will review some of the attempts at separating L from P inspired by pebbling arguments. Emphasis will be placed on branching programs for the tree evaluation problem, recently studied anew [2]. The problem consists of determining the value that percolates to the root of a (binary) tree when a value from a domain D is prescribed at each tree leaf and an explicit function f:D×D → D is prescribed at each internal node. In a nutshell, lower bounds for restricted branching programs can be proved, but approaches to attack the general model strangely come up against the same barrier that Nec̆iporuk encountered in a two-page note 50 years ago and that still stands today.
Tree evaluation naturally extends to tree generation [1], where the functions f:D×D → D at internal tree nodes are replaced with functions f:D×D → {S : S ⊆ D}. This is interpreted as allowing to pick, as the D-value of a node labelled f with left child ℓ and right child r, any value from f(D-value of ℓ, D-value of r). Tree generation can then be turned into a monotone boolean function. Strong lower bounds for this function have been derived from pebbling intuition [4,1] and we will further discuss some of these.
For a suitable bibliography please consult [2,4,1].
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References
Chan, S.M.: Just a pebble game. Electronic Colloquium on Computational Complexity (ECCC) 20, 42 (2013)
Cook, S.A., McKenzie, P., Wehr, D., Braverman, M., Santhanam, R.: Pebbles and branching programs for tree evaluation. TOCT 3(2), 4 (2012)
Cook, S.A.: Characterizations of pushdown machines in terms of time-bounded computers. J. ACM 18, 4–18 (1971)
Chan, S.M., Potechin, A.: Tight bounds for monotone switching networks via fourier analysis. Electronic Colloquium on Computational Complexity (ECCC) 19, 185 (2012)
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McKenzie, P. (2013). Can Chimps Go It Alone?. In: Jurgensen, H., Reis, R. (eds) Descriptional Complexity of Formal Systems. DCFS 2013. Lecture Notes in Computer Science, vol 8031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39310-5_3
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DOI: https://doi.org/10.1007/978-3-642-39310-5_3
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