Pumping Lemma Example: Non-Palindromes are not Regular - Easy Theory
Here we show that all strings that are NOT palindromes is not regular. This is not very easy to prove, in that this method uses the p factorial trick. The hard part is to not only start with a string that is not a palindrome, but to generate a string that IS a palindrome! The key here is to have a "section" of one character that is much "shorter" than the other, and we can only pump in the first shorter section. If we design things correctly, eventually we must hit exactly the length of the other section, if we pump high enough.
▶SEND ME THEORY QUESTIONS◀ ryan.e.dougherty@icloud.com
▶ABOUT ME◀ I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes. ... https://www.youtube.com/watch?v=a14KIazMjJE
Here we ask the question about what "efficient" computation should be, as well as give definitions of P (deterministic polynomial time) and NP (nondeterministic polynomial time).
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▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
...
https://www.youtube.com/watch?v=UhYWLzuYW54
Here we consider the problem of intersecting a CFL and a regular language without using a PDA! It turns out that it is possible to do this directly, with a CFG and a DFA. The idea is simple, but we have to make some modifications first (the CFG has to be in CNF, and the DFA has to be an NFA with exactly 1 final state). Then we do a product-type construction that is similar to the PDA to CFG conversion.
The variables model pairs of states in the NFA (representing starting and destination states), as well as a variable in the original grammar. This "triplet" variable then should generate all strings that drive the NFA from the given start to the destination state, as well as a string that the given variable can generate. At the end, we generate the rules that come out of the intersection by considering the three cases that grammars in CNF can have.
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▶ADDITIONAL QUESTIONS◀
1. What fundamental problems can arise with this method if we did a CFG intersect a CFG here?
2. Is it possible to remove the constraint for the DFA/NFA have exactly 1 final state?
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught over 12 courses at Arizona State University, as well as Colgate University, including several sections of undergraduate theory.
▶ABOUT THIS CHANNEL◀
The theory of computation is perhaps the fundamental
theory of computer science. It sets out to define, mathematically, what
exactly computation is, what is feasible to solve using a computer,
and also what is not possible to solve using a computer.
The main objective is to define a computer mathematically, without the
reliance on real-world computers, hardware or software, or the plethora
of programming languages we have in use today. The notion of a Turing
machine serves this purpose and defines what we believe is the crux of
all computable functions.
This channel is also about weaker forms of computation, concentrating on
two classes: regular languages and context-free languages. These two
models help understand what we can do with restricted
means of computation, and offer a rich theory using which you can
hone your mathematical skills in reasoning with simple machines and
the languages they define.
However, they are not simply there as a weak form of computation--the most attractive aspect of them is that problems formulated on them
are tractable, i.e. we can build efficient algorithms to reason
with objects
...
https://www.youtube.com/watch?v=fiipLIVwR9o
Full Theory of Computation Lecture playlist: https://www.youtube.com/watch?v=OPaB-rpKhZ0&list=PLylTVsqZiRXMiTARmrsxCWU2RahyKB_Ae&index=1&t=1s
Lecture "a la carte" playlist: https://www.youtube.com/watch?v=gO9Ho9Dpu8k&list=PLylTVsqZiRXP51EfJWv8cxD6wIFTZQD9_&index=1
Here we talk about nondeterministic finite automata (NFA), which are a generalization of deterministic automata to help solve problems such as concatenation or Kleene star. Then we show that NFAs and DFAs are equivalent via the powerset construction.
Timeline:
0:00 - Intro
3:00 - Definition of Language Concatenation
5:35 - Nondeterministic Finite Automata Definition
10:00 - Solving Concatenation with NFAs
16:50 - NFA Transition Function
21:10 - NFA Transition Function Example
28:40 - Solving Union with NFAs
31:50 - Solving Star with NFAs
43:18 - Idea behind converting NFA to DFA
55:38 - Powerset Construction (NFA to DFA)
1:19:50 - Epsilon Closure Definition
1:32:27 - NFA to DFA Conversion Example
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Merch:
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If you like this content, please consider subscribing to my channel: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg?sub_confirmation=1
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
...
https://www.youtube.com/watch?v=K1TvF2nX4Ys
Here we look at the product construction for DFAs, and show that it "ruins" everything! Specifically, about minimality and reachability of the two original DFAs. If they both had no unreachable states, we don't guarantee that about the resulting DFA. And the same is true of minimality.
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▶ADDITIONAL QUESTIONS◀
1. What has to be true about the original DFAs for the product DFA to also be minimal?
2. What about for reachability?
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught over 12 courses at Arizona State University, as well as Colgate University, including several sections of undergraduate theory.
▶ABOUT THIS CHANNEL◀
The theory of computation is perhaps the fundamental theory of computer science. It sets out to define, mathematically, what exactly computation is, what is feasible to solve using a computer, and also what is not possible to solve using a computer. The main objective is to define a computer mathematically, without the reliance on real-world computers, hardware or software, or the plethora of programming languages we have in use today. The notion of a Turing machine serves this purpose and defines what we believe is the crux of all computable functions.
This channel is also about weaker forms of computation, concentrating on two classes: regular languages and context-free languages. These two models help understand what we can do with restricted means of computation, and offer a rich theory using which you can hone your mathematical skills in reasoning with simple machines and the languages they define.
However, they are not simply there as a weak form of computation--the most attractive aspect of them is that problems formulated on them are tractable, i.e. we can build efficient algorithms to reason with objects such as finite automata, context-free grammars and pushdown automata. For example, we can model a piece of hardware (a circuit) as a finite-state system and solve whether the circuit satisfies a property (like whether it performs addition of 16-bit registers correctly). We can model the syntax of a programming language using a grammar, and build algorithms that check if a string parses according to this grammar.
On the other hand, most problems that ask
...
https://www.youtube.com/watch?v=XBGgaXm94ew
Here we show that the equality problem for context-free grammars is undecidable, and its complement is recognizable. We utilize the fact that ALL_CFG is undecidable, and for the second proof that A_CFG is decidable.
Easy Theory Website: https://www.easytheory.org
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#easytheory
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▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
...
https://www.youtube.com/watch?v=13f-x7hUdu0
Here we show that regular languages are closed under reversal, and give some tips on why the "usual" proof is not quite right. The main idea is to take a DFA for the language, and reverse all of its transitions. The problem is that the resulting machine may not necessarily be a DFA or even an NFA. But by observing what the resulting language should be (the reverse of all the strings), we can make some adjustments to it to make it work, which we cover in the video.
#easytheory #nfa #dfa #gate #gateconcept #theoryofcomputing #turingmachine #nfatoregex #cfg #pda #undecidable #ricestheorem
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▶ADDITIONAL QUESTIONS◀
1. How large will the "reverse" DFA be in relation to the original one? (after converting from an NFA to DFA)
2. What if we ask all strings such that some substring of it is reversed?
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught over 12 courses at Arizona State University, as well as Colgate University, including several sections of undergraduate theory.
▶ABOUT THIS CHANNEL◀
The theory of computation is perhaps the fundamental theory of computer science. It sets out to define, mathematically, what exactly computation is, what is feasible to solve using a computer, and also what is not possible to solve using a computer. The main objective is to define a computer mathematically, without the reliance on real-world computers, hardware or software, or the plethora of programming languages we have in use today. The notion of a Turing machine serves this purpose and defines what we believe is the crux of all computable functions.
This channel is also about weaker forms of computation, concentrating on two classes: regular languages and context-free languages. These two models help understand what we can do with restricted means o
...
https://www.youtube.com/watch?v=7OzQ8ItYGSw
Here we go over the definition of Turing Machines, as well as an example of one and how to compute with it using the Turing Machine tape. This was recorded on 3 April 2017.
Easy Theory Website: https://www.easytheory.org
Become a member: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg/join
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Merch:
Language Hierarchy Apparel: https://teespring.com/language-hierarchy?pid=2&cid=2122
Pumping Lemma Apparel: https://teespring.com/pumping-lemma-for-regular-lang
If you like this content, please consider subscribing to my channel: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg?sub_confirmation=1
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
...
https://www.youtube.com/watch?v=aDK5E868lfg
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If you like this content, please consider subscribing to my channel: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg?sub_confirmation=1
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught over 12 courses at Arizona State University, as well as Colgate University, including several sections of undergraduate theory.
▶ABOUT THIS CHANNEL◀
The theory of computation is perhaps the fundamental theory of computer science. It sets out to define, mathematically, what exactly computation is, what is feasible to solve using a computer, and also what is not possible to solve using a computer. The main objective is to define a computer mathematically, without the reliance on real-world computers, hardware or software, or the plethora of programming languages we have in use today. The notion of a Turing machine serves this purpose and defines what we believe is the crux of all computable functions.
This channel is also about weaker forms of computation, concentrating on two classes: regular languages and context-free languages. These two models help understand what we can do with restricted means of computation, and offer a rich theory using which you can hone your mathematical skills in reasoning with simple machines and the languages they define.
However, they are not simply there as a weak form of computation--the most attractive aspect of them is that problems formulated on them are tractable, i.e. we can build efficient algorithms to reason with objects such as finite automata, context-free grammars and pushdown automata. For example, we can model a piece of hardware (a circuit) as a finite-state system and solve whether the circuit satisfies a property (like whether it performs addition of 16-bit registers correctly). We can model the syntax of a programming language using a grammar, and build algorithms that check if a string parses according to this grammar.
On the other hand, most problems that ask properties about Turing machines are undecidable. This Youtube channel will help you see and prove that several tasks involving Turing machines are unsolvable---i.e., no computer, no software, can solve it. For example, you will see that there is no software that can check whether a C program will halt on a particular input. To prove something is possible is, of cours
...
https://www.youtube.com/watch?v=NnYhVt-dB8U
Thanks to the following supporters of the channel for helping support this video. If you want to contribute, links are below.
Dolev Abuhazira, Josh Hibschman, Micah Wood, Morgan Jones, Patrik Keinonen, Simone Glinz, Tao Su, Timothy Gorden, unit220, Valentine Eben
Easy Theory Website: https://www.easytheory.org
Become a member: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg/join
Donation (appears on streams): https://streamlabs.com/easytheory1/tip
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Patreon: https://www.patreon.com/easytheory
Discord: https://discord.gg/SD4U3hs
Merch:
Language Hierarchy Apparel: https://teespring.com/language-hierarchy?pid=2&cid=2122
Pumping Lemma Apparel: https://teespring.com/pumping-lemma-for-regular-lang
If you like this content, please consider subscribing to my channel: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg?sub_confirmation=1
▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
...
https://www.youtube.com/watch?v=Xqp6o52lZOM