DFA Designing where string contain b as 2nd symbol fromRight
Duration: 10 min
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Module outline
- General Intelligence & Reasoning: Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Logical Sequence Of Words, Syllogisms, Venn Diagram, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Data Sufficiency, Puzzle Solving (Puzzles), Data Arrangement, Cubes & Dices, Calendar, Clock, Arithmetic, Number System, HCF LCM, Verbal Analogy (Word Based Analogy), Visual Recognition and Figure Completion, Paper Folding and Cutting, Transformation of Shapes, Clocks and Calendars, Direction Sense, Cubes and Dice, Patterns in Two-Dimensional Figures, Seating Arrangements, Analogy and Classification, Logical Deduction and Induction, Alphabet and Word Tests, Mathematical Operations, Series Completion, Simplification and Approximation, Coding and Decoding, Numerical Reasoning, Assembling and Grouping of Shapes, Three-Dimensional Patterns and Visualization, Vocabulary, Number System, Averages, Mixtures and Alligation, Simple and Compound Interest, Percentages, Algebra, Speed, Time and Distance, Seating and Arrangement Puzzles, Traverse Surveying, Order, Ranking and Sequence, Constraint Puzzles, Syllogisms and Venn Diagrams, Reading Comprehension, Critical Reasoning, Permutations and Combinations, Narrative Sequencing, Project Monitoring, Resources and Safety, Profit, Loss and Discount, Ratio and Proportion, Time and Work, Mensuration, Data Interpretation, Powers, Surds and Logarithms, Sequences and Series, Articles and Determiners, Sentence Completion, Data Sufficiency, Blood Relations, Simple Interest and Compound Interest, Mixture and Alligation, Sequence and Series (Series), Speed Time and Distance, Algebra, Profit and Loss, Powers and Exponents (Surds and Indices), Permutation and Combination
- General Awareness: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, Environment, Static General Knowledge, GK- Current Affairs, Artificial Intelligence, MS Office Applications, Terms & Abbreviations, Keyboard Shortcuts, Evolution of Indian Banking (Banking & Financial Awareness), Emerging Tech Trends
- Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus, Probability, Statistics, Signal Space and Optimum Detection, Probability, Statistics
- Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Number Systems and Codes, Registers and Counters, Boolean Algebra and Logic Gates, Microprocessors and Microcontrollers, Logic Families and CMOS Logic, Microprocessors, Logic Gates and Boolean Algebra, Minimization of Boolean Functions, Timing, Hazards and Testing, Logic Families, Combinational Logic Design, Arithmetic Circuits, Waveform Generators and Timer Circuits, Semiconductor Memories and Programmable Logic Devices, Combinational Logic Circuits, Latches and Flip-Flops, Finite State Machines, Sequential Circuits and State Machines, Minimization of Boolean Functions, Arithmetic Circuits, Latches and Flip-Flops, Number Systems and Codes, Registers and Counters
- Computer Organisation & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer, Register Transfer and Microoperations, Semiconductor Memories and Programmable Logic, Processor Organization and Instructions, Memory Hierarchy and Input/Output, Registers and Counters
- Programming & Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, HTML Basics, OOPS with C++, Java, Object Oriented Technology
- Databases: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization
- Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
- Theory of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
- Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
- Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Security, Windows OS, Distributed Systems, Unix OS, Linux OS
- Computer Networks: Introduction to CN, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware Basics, Data Communication, Website, Browser & Services, Web Design & Development, Network Security, Cyber Threats and Malware Attacks, Cyber Safety and Security
- Full Length Mock Tests:
- Sectional Tests:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video provides a step-by-step guide to designing a minimal Deterministic Finite Automaton (DFA) for a specific formal language. The core problem involves accepting all strings over the alphabet $\Sigma = \{a, b\}$ where the second symbol from the right end is always 'b'. The instructor begins by clarifying the language definition through a series of concrete examples, distinguishing between valid and invalid strings. He then proceeds to construct the DFA state by state, carefully defining transitions for both 'a' and 'b' inputs to track the position of symbols relative to the end of the string. After constructing the initial automaton, he performs a minimization check to ensure no redundant states exist. Finally, the lecture generalizes this concept, deriving a formula for the number of states required to check the $n$-th symbol from the right, concluding with a multiple-choice question to test comprehension.
Chapters
0:00 – 2:00 00:00-02:00
The lecture commences with the problem statement displayed on the screen: 'Design a minimal DFA that accepts all strings over the alphabet $\Sigma = \{a, b\}$ such that for every accepted string 2nd from right end is always b.' The instructor writes down a list of candidate strings to test the condition: $L = \{ \epsilon, b, ab, ba, aaa, aba, bbb, bbab \}$. He methodically evaluates each string. He crosses out $\epsilon$ and $b$ because they are too short to have a second symbol from the right. He crosses out $ab$ and $aaa$ because their second-to-last characters are 'a'. He places checkmarks next to $ba, aba,$ and $bbb$, confirming they satisfy the condition. He also crosses out $bbab$ because the second-to-last character is 'a'. This process establishes the precise criteria for the language.
2:00 – 5:00 02:00-05:00
The instructor constructs the DFA diagram. He starts with state $q_0$ (start state) having a self-loop on 'a' and a transition to $q_1$ on 'b'. From $q_1$, 'a' leads to a final state $q_2$, and 'b' leads to another final state $q_3$. He defines transitions for $q_2$ and $q_3$ to handle subsequent inputs, ensuring the '2nd from right' logic is maintained. Specifically, from $q_2$, an 'a' input resets the tracking to $q_1$, while a 'b' input keeps the system in a valid final state $q_3$. From $q_3$, an 'a' input moves to $q_2$, and a 'b' input loops back to $q_3$. To verify minimality, he draws a transition table listing states $q_0, q_1, q_2, q_3$ and their transitions for 'a' and 'b'. He analyzes the table to check if any states are equivalent. He notes that $q_2$ and $q_3$ are both final states, but their transitions differ: $q_2$ on 'a' goes to $q_1$ (non-final), while $q_3$ on 'a' goes to $q_2$ (final). This difference proves they are distinguishable. Similarly, $q_0$ and $q_1$ are distinguished because $q_0$ on 'a' stays in $q_0$ (non-final), while $q_1$ on 'a' goes to $q_2$ (final). Thus, all four states are distinct and necessary for the minimal DFA.
5:00 – 10:00 05:00-10:00
The instructor moves to a generalization of the problem. He writes a conclusion on the board: 'No of states will be $2^n$, if position is n.' He explains that if the requirement changes to the $n$-th symbol from the right being 'b', the number of states required doubles for each increment in $n$. He illustrates this by sketching a larger state table for $n=3$ (3rd symbol from right), labeling states $q_0$ through $q_7$. He circles the final states in this larger table to show the pattern of acceptance. This section connects the specific 4-state solution to a broader theoretical concept in automata theory regarding suffix recognition, emphasizing that the complexity grows exponentially with the position $n$.
10:00 – 10:12 10:00-10:12
The video concludes with a multiple-choice question displayed on the screen: 'The no of final states in a minimal DFA, that accept all string over a... such that 2nd symbol from right end is always b.' The options provided are a) 1, b) 2, c) 4, d) none. This question directly tests the student's ability to identify the accepting states in the DFA constructed earlier, where states $q_2$ and $q_3$ were identified as the final states.
The video effectively bridges the gap between abstract language definitions and concrete automata construction. It starts with the fundamental task of validating strings against a positional constraint, moves to the mechanical construction of the state machine, and culminates in a theoretical generalization. The progression from specific examples to a general formula ($2^n$) provides a comprehensive understanding of how DFAs handle suffix-based conditions. The instructor emphasizes that the number of states grows exponentially with the position $n$, a key takeaway for students studying formal languages.

