Closure properties of class of CFLs:
Theorem (CFL closure properties): The class of CFLs over an alphabet A is closed beneath the regular operations union, catenation and Kleene star.
Proof: Given that CFLs L, L’ ⊆ A*, consider any grammars G, G’ which produce L and L’, correspondingly. Join G and G’ suitably to get grammars for L ∪ L’, L L’, and L*. Example: when G = (V, A, P, S), we get G(L*) = (V ∪ {S0}, A, P ∪ { S0 -> S S0 , S0 -> ε }, S0).
The proof above is equivalent to the proof of closure of class or regular languages beneath union, catenation and Kleene star. There we joined two FAs to a single one employing series, parallel and loop combinations of FAs. However beyond the three regular operations, the analogy stops. For regular languages, we confirmed closure beneath complement by appealing to deterministic FAs as acceptors. For such, modifying all the accepting states to non-accepting, and vice-versa, outcomes the complement of language accepted. This reasoning drops for CFL’s, as deterministic PDAs accept merely a subclass of CFLs. For non-deterministic PDAs, modifying accepting states to non-accepting, and vice-versa, does not generate the complement of language accepted. Certainly, closure beneath complement doesn’t hold for CFLs.
Theorem: The class of CFLs over an alphabet A is not closed beneath intersection and is not closed beneath implement.
We verify this theorem in two manners: First, by exhibiting two CFLs whose intersection is probably not CF and second by exhibiting the CFL whose complement is probably not CF.
Pf ∩: Let consider CFLs L0 = {0m 1m 2n | m, n ≥ 1} and L1 = {0m 1n 2n | m, n ≥ 1}.
L0 ∩ L1 = {0k 1k 2k | k ≥ 1} is not CF, as we verified previously by using the pumping lemma.
This entails that the class of CFLs is not closed beneath complement. If it were, it would as well be closed beneath intersection, since of the identity: L ∩ L’ = ¬(¬L ∪ ¬L’ ). However we as well prove this outcome in a direct way by exhibiting the CFL L whose complement is not context free. L’s complement is notorious language L2 = {w w / w ∈ {0, 1}}, that we have proven not context free by using the pumping lemma.
Pf ¬: We illustrate that L = {u | u is not of the form u = w w} is context free by showing a CFG for L:
S -> Y | Z | Y Z | Z Y Y -> 1 | 0 Y 0 | 0 Y 1 | 1 Y 0 | 1 Y 1 Z -> 0 | 0 Z 0 | 0 Z 1 | 1 Z 0 | 1 Z 1
The productions for Y produce all odd strings, that sis, strings of odd length, with 1 as its center symbol.
Analogously, Z produces all the odd strings with a 0 as its center symbol. The odd strings are not of the form u = w w, therefore they are involved in L by the productions S -> Y | Z. Now we illustrate that the strings u of even length which are not of the form u = w w are accurately such of the form Y Z or Z Y.
At first, consider a word of the form Y Z, like the catenation of y = 1 1 0 1 0 0 0 and z = 1 0 1, where the center 1 of y and center 0 of z are highlighted. Writing y z = 1 1 0 1 0 0 0 1 0 1 as catenation of the two strings of equivalent length, namely 1 1 0 1 0 and 0 0 1 0 1, exhibits that the former center symbols 1 of y and 0 of z contain both become the 4-th symbol in their relevant strings of length 5. Therefore, they are a witness pair whose clash exhibits that y z ≠ w w for any w. This and the analogous condition for Z Y, illustrate that the set of strings of form Y Z or Z Y are in L.
On contrary, consider any even word u = a1 a2 .. aj .. ak b1 b2 .. bj .. bk that is not of the form u = w w. There exists an index j where aj ≠ bj, and we can take all of aj and bj as center symbol of its own odd string. The given illustration shows a clashing pair at index j = 4: u = 1 1 0 0 1 1 1 0 1 1. Now u = 1 1 0 0 1 1 1 0 1 1 can be written as u = z y, here z = 1 1 0 0 1 1 1 ∈ Z and y = 0 1 1 ∈ Y.
The given figure how the different string lengths labeled α and β add up.
The word ‘problem’. CFL parsing in time O(n3) by means of dynamic programming
Casually, the word problem asks: Given G and w ∈ A*, decide whether w ∈ L(G).
More accurately: Is there an algorithm which applies to any grammar G in certain given class of grammars, and any w ∈ A*, to decide whether w ∈ L(G)?
Most of the algorithms resolve the word problem for CFGs, example: i) Convert G to Greibach NF and enumerate all the derivations of length ≤ |w| to see whether any of them produces w; or ii) Construct an NPDA M which accepts L(G), and feed w to M.
Illustration: L = {0k 1k | k ≥ 1}. G: S -> 01 | 0 S1. Use ‘0’ as a stack symbol to count the number of 0s.
Latest technology based Theory of Computation Online Tutoring Assistance
Tutors, at the www.tutorsglobe.com, take pledge to provide full satisfaction and assurance in Theory of Computation help via online tutoring. Students are getting 100% satisfaction by online tutors across the globe. Here you can get homework help for Theory of Computation, project ideas and tutorials. We provide email based Theory of Computation help. You can join us to ask queries 24x7 with live, experienced and qualified online tutors specialized in Theory of Computation. Through Online Tutoring, you would be able to complete your homework or assignments at your home. Tutors at the TutorsGlobe are committed to provide the best quality online tutoring assistance for Theory of Computation Homework help and assignment help services. They use their experience, as they have solved thousands of the Theory of Computation assignments, which may help you to solve your complex issues of Theory of Computation. TutorsGlobe assure for the best quality compliance to your homework. Compromise with quality is not in our dictionary. If we feel that we are not able to provide the homework help as per the deadline or given instruction by the student, we refund the money of the student without any delay.
Orientation and Taxes tutorial all along with the key concepts of Introduction to Sexual Orientation, sexual identity and behavior, Measuring sexual orientation and Sexual arousal
tutorsglobe.com muscle pull assignment help-homework help by online muscles tutors
tutorsglobe.com ig g assignment help-homework help by online properties and functions of immunoglobulins tutors
Batch costing is employed in which units of a product are manufactured in batches and employed in the assembly of the finishing product.
Microbial Growth-Reproduction and Control tutorial all along with the key concepts of Prokaryotic Cell Cycle, Binary Fission, Chromosome Replication and Partitioning, Cytokinesis, Measurement of Microbial Growth, Measurement of Cell Mass, Factors affecting Microbial growth
www.tutorsglobe.com free tutorials on system development life cycle method, systems analysis methods- it is a step-by-step, structured process for the development of a system. this process draws upon the engineering approach to the analysis and solution of complex problems.
tutorsglobe.com translocation of solutes assignment help-homework help by online mineral nutrition tutors
The driver transformer contains two secondary coils that are wound in reverse directions. It sends the needed signals to the output transistors.
Leaves are extremely significant vegetative organs since they are largely concerned with transpiration and photosynthesis.
theory and lecture notes of cursors and data management all along with the key concepts of cursors, data management, operations on cursors, cursor positioning. tutorsglobe offers homework help, assignment help and tutor’s assistance on cursors and data management.
Parasitic helminths and lifecycles tutorial all along with the key concepts of Types of Host, Definitive Host, Intermediate Host, Accidental Host, Paratenic Host and Reservoir Host
tutorsglobe.com advantages of capitalist economy assignment help-homework help by online capitalist economy tutors
Theory and lecture notes of Data Independence all along with the key concepts of data independence, kinds of data Independence, Logical data independence, Physical data independence. Tutorsglobe offers homework help, assignment help and tutor’s assistance on Data Independence.
tutorsglobe.com dna-segmenting or fragmenting assignment help-homework help by online genetic engineering tutors
theory and lecture notes of solving inequalities algebraically and graphically all along with the key concepts of double inequalities, absolute value inequalities-geometric way, polynomial and rational inequalities. tutorsglobe offers homework help, assignment help and tutor’s assistance on solving inequalities algebraically and graphically.
1933534
Questions Asked
3689
Tutors
1481605
Questions Answered
Start Excelling in your courses, Ask an Expert and get answers for your homework and assignments!!