Pushdown Automata (PDA)
• A detailed overview of concepts, structure,
and applications
• Presented by: [Your Name]
Introduction to PDA
• - Pushdown Automata (PDA) is a type of
automaton that employs a stack.
• - It extends the capability of Finite Automata
by using a stack memory.
• - Used to recognize Context-Free Languages
(CFLs).
Why PDA?
• - Finite Automata cannot handle nested
structures (like parentheses).
• - PDA is capable of handling such recursive
patterns due to its stack.
• - Example: Recognizing strings like a^n b^n.
Formal Definition
• A PDA is defined as a 7-tuple:
• M = (Q, Σ, Γ, δ, q0, Z0, F), where:
• Q: Finite set of states
• Σ: Input alphabet
• Γ: Stack alphabet
• δ: Transition function
• q0: Start state
• Z0: Initial stack symbol
• F: Set of accepting states
PDA Transitions
• A transition is of the form:
• δ(q, a, X) = {(p, γ)}
• - q: current state
• - a: input symbol (or ε)
• - X: top of the stack
• - p: next state
• - γ: string to replace X on stack
Types of Acceptance
• - PDA can accept input in two ways:
• 1. Acceptance by Final State
• 2. Acceptance by Empty Stack
• - Both types are equivalent in terms of the
class of languages they recognize.
Instantaneous Description (ID)
• An ID is a snapshot of PDA:
• (q, w, γ)
• - q: current state
• - w: unread input
• - γ: current stack contents
• Example: (q0, abb, Z0)
Designing PDA – General Approach
• 1. Understand the language
• 2. Design transitions based on stack behavior
• 3. Handle inputs and matching stack
operations
• 4. Define accepting condition (final state or
empty stack)
Example: L = { a^n b^n | n ≥ 0 }
• 1. Push 'a' onto stack for each 'a' in input.
• 2. For each 'b', pop 'a' from stack.
• 3. Accept when input ends and stack has initial
symbol.
Example: PDA for Palindromes
• - Input: Palindromes like 'abba', 'abcba'
• - Strategy:
• 1. Push first half onto stack
• 2. Skip middle if odd length
• 3. Match and pop second half
Deterministic vs Non-deterministic
PDA
• - Deterministic PDA (DPDA):
• * At most one possible move for a given
input and stack
• - Non-deterministic PDA (NPDA):
• * Multiple possible transitions
• * More powerful than DPDA
Applications of PDA
• - Syntax analysis in compilers
• - Parsing of programming languages
• - Recognizing nested structures like
parentheses
• - Model for context-free grammar (CFG)
evaluation
Limitations of PDA
• - Cannot recognize context-sensitive or
recursive languages
• - Stack allows only limited memory access
(LIFO)
• - Less powerful than Turing Machines
PDA vs Other Automata
• | Feature | Finite Automata | PDA | Turing
Machine |
• |---------|------------------|-----|----------------|
• | Memory | None | Stack | Infinite tape
|
• | Language | Regular | CFL | Recursively
enumerable |
• | Power | Limited | Moderate | Most
powerful |
Summary
• - PDA = Finite Automaton + Stack
• - Useful for recognizing Context-Free
Languages
• - Important in theoretical computer science
and compilers
Q&A
• Thank you!
• Questions are welcome.

Pushdown_Automata_Presentation in Automata theory and compiler design

  • 1.
    Pushdown Automata (PDA) •A detailed overview of concepts, structure, and applications • Presented by: [Your Name]
  • 2.
    Introduction to PDA •- Pushdown Automata (PDA) is a type of automaton that employs a stack. • - It extends the capability of Finite Automata by using a stack memory. • - Used to recognize Context-Free Languages (CFLs).
  • 3.
    Why PDA? • -Finite Automata cannot handle nested structures (like parentheses). • - PDA is capable of handling such recursive patterns due to its stack. • - Example: Recognizing strings like a^n b^n.
  • 4.
    Formal Definition • APDA is defined as a 7-tuple: • M = (Q, Σ, Γ, δ, q0, Z0, F), where: • Q: Finite set of states • Σ: Input alphabet • Γ: Stack alphabet • δ: Transition function • q0: Start state • Z0: Initial stack symbol • F: Set of accepting states
  • 5.
    PDA Transitions • Atransition is of the form: • δ(q, a, X) = {(p, γ)} • - q: current state • - a: input symbol (or ε) • - X: top of the stack • - p: next state • - γ: string to replace X on stack
  • 6.
    Types of Acceptance •- PDA can accept input in two ways: • 1. Acceptance by Final State • 2. Acceptance by Empty Stack • - Both types are equivalent in terms of the class of languages they recognize.
  • 7.
    Instantaneous Description (ID) •An ID is a snapshot of PDA: • (q, w, γ) • - q: current state • - w: unread input • - γ: current stack contents • Example: (q0, abb, Z0)
  • 8.
    Designing PDA –General Approach • 1. Understand the language • 2. Design transitions based on stack behavior • 3. Handle inputs and matching stack operations • 4. Define accepting condition (final state or empty stack)
  • 9.
    Example: L ={ a^n b^n | n ≥ 0 } • 1. Push 'a' onto stack for each 'a' in input. • 2. For each 'b', pop 'a' from stack. • 3. Accept when input ends and stack has initial symbol.
  • 10.
    Example: PDA forPalindromes • - Input: Palindromes like 'abba', 'abcba' • - Strategy: • 1. Push first half onto stack • 2. Skip middle if odd length • 3. Match and pop second half
  • 11.
    Deterministic vs Non-deterministic PDA •- Deterministic PDA (DPDA): • * At most one possible move for a given input and stack • - Non-deterministic PDA (NPDA): • * Multiple possible transitions • * More powerful than DPDA
  • 12.
    Applications of PDA •- Syntax analysis in compilers • - Parsing of programming languages • - Recognizing nested structures like parentheses • - Model for context-free grammar (CFG) evaluation
  • 13.
    Limitations of PDA •- Cannot recognize context-sensitive or recursive languages • - Stack allows only limited memory access (LIFO) • - Less powerful than Turing Machines
  • 14.
    PDA vs OtherAutomata • | Feature | Finite Automata | PDA | Turing Machine | • |---------|------------------|-----|----------------| • | Memory | None | Stack | Infinite tape | • | Language | Regular | CFL | Recursively enumerable | • | Power | Limited | Moderate | Most powerful |
  • 15.
    Summary • - PDA= Finite Automaton + Stack • - Useful for recognizing Context-Free Languages • - Important in theoretical computer science and compilers
  • 16.
    Q&A • Thank you! •Questions are welcome.