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=== Upper and lower bounds for <math>L_n</math> === |
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For the lower bound, we will first count the number <math>LB(n,k)</math> of lambda-terms of size <math>n</math> starting with <math>k</math> lambdas and having no other lambda below. This means that the lower part of the term is a binary tree of size <math>n-k</math> with |
For the lower bound, we will first count the number <math>LB(n,k)</math> of lambda-terms of size <math>n</math> starting with <math>k</math> lambdas and having no other lambda below. This means that the lower part of the term is a binary tree of size <math>n-k</math> with |
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Version du 17 octobre 2008 à 13:44
Introduction
The question is: among programs, what is the probability of having a fixed property.
what kind of program : turing machines, cellular automata, combinatory logic, lambda calculus
what kind of properties : structural (for functional programs), behaviour (SN, weakly normalizable, ...
references to known results on : turing machines, cellular automata
we concentrate on combinatory logic, lambda calculus
combinatory logic
results on combinatory logic
Generality on lambda calculus
what kind of distribution ?
we look only for densities,
for that we need size.
different size for variables: zero, one, binary with optimal size, binary with fixed size, debruijn indices in unary...
we concentrate on the simple one : variable of size zero (probably similar for size one ) more later for other size
generating functions
this does not work (by now) because radius of convergence 0
no known results for the number of terms of size n (denoted )
our results
(the proof of result of section k needs the result of section (k-1))
Upper and lower bounds for
For the lower bound, we will first count the number of lambda-terms of size starting with lambdas and having no other lambda below. This means that the lower part of the term is a binary tree of size with possibility for each leaf.
upper and lower bounds for number of lambdas in a term of size n
Jakub's trik : at least 1 lambda in head position
at least lambdas in head position and number of lambdas in one path
Remark: (may be 4) can be done directly without 3))
each of the Échec de l’analyse (SVG (MathML peut être activé via une extension du navigateur) : réponse non valide(« Math extension cannot connect to Restbase. ») du serveur « https://wikimedia.org/api/rest_v1/ » :): {\displaystyle o(\sqrt{n/\ln(n)})} head lambdas really bind "many" occurrences of the variable
every fixed closed term (including the identity !) does not appear in a random term (in fact we have much more than that)
comment : so different situation in combinatory logic and lambda calculus ; the coding uses a big size so need to count variables in a different way
Experiments
results of the experiments we have done
some experiments that have to be done : e.g. density of terms having Échec de l’analyse (SVG (MathML peut être activé via une extension du navigateur) : réponse non valide(« Math extension cannot connect to Restbase. ») du serveur « https://wikimedia.org/api/rest_v1/ » :): {\displaystyle \lambda x.y} or big Omega pattern ...
to be done
Upper and lower bounds for with other size for variables especially one, binary with fixed size
Open questions and Future work
.....