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  • Pushdown Automata — Theory of Computation
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Pushdown Automata — Theory of Computation

examhopeinfo@gmail.com November 25, 2025 3 minutes read
Pushdown Automata Theory of Computation

Pushdown Automata Theory of Computation

⭐ Why Do We Need PDA?

Think of trying to check a math expression like:

((a + b) – (c + d))

A finite automaton cannot keep track of how many opening brackets ( are waiting for closing ones ).
But a PDA can push each ( onto the stack, and pop it when ) appears.

So PDAs are perfect for things like:

  • Balanced parentheses
  • Palindromes
  • Languages where “something must match something else later”

⭐ How Does a PDA Work?

A PDA makes decisions based on three things at a time:

  1. Current state
  2. Current input symbol
  3. Top of the stack

From these, it decides operations:

  • Push something to the stack
  • Pop something from the stack
  • Change the state
  • Do all, some, or none of them

⭐ Formal Definition (Explained Simply)

A PDA is a 7-tuple:

(Q, Σ, Γ, δ, q0, Z0, F)

But let’s explain this in human language:

  • Q → set of states
  • Σ → input symbols
  • Γ → stack symbols
  • δ → transition rules
  • q0 → starting state
  • Z0 → initial symbol in stack
  • F → final/accepting states

Think of it as a robot with instructions, pockets of memory, and a starting point.


🎯 Example 1: PDA for Balanced Parentheses

Let’s create a PDA that checks strings like:

(), (()), (()()), (()(()))

These strings belong to language:

L = { balanced parentheses }

✔ Logic behind it:

  • When we see (, push it onto the stack.
  • When we see ), pop a ( from the stack.
  • If the stack is empty at the end → string is balanced.

📘 Simple Diagram (Conceptual)

          push '('
   ---> (q0) ---------------->
      ^                       |
      |                       |
      <-----------------------
          pop '('

This is just a conceptual sketch.
It means: stay in the same state, pushing or popping as needed.


✔ Transition Table (Simple Form)

InputStack TopAction
(anythingpush (
)(pop
emptyZ0accept

⭐ Example 2: PDA for aⁿbⁿ (same number of a’s and b’s)

This language includes strings like:

ab, aabb, aaabbb, …

The rule:
Number of a’s must equal number of b’s.

✔ PDA Strategy:

  • For every a, push an A.
  • For every b, pop an A.
  • If stack empties exactly when input ends → accept.

📘 Diagram (Easy to Visualize)

            read 'a', push A
   ---> (q0) -----------------------> (q1)
             read 'b', pop A
                  ^         |
                  |_________|

Meaning:

  • First state (q0) handles all the a’s.
  • When b’s begin, we move to q1 and start popping.

⭐ Small, Friendly Example

Let’s test the string:

aaabbb

Step-by-step:

  1. Read a → push A
  2. Read a → push A
  3. Read a → push A
  4. Read b → pop A
  5. Read b → pop A
  6. Read b → pop A
  7. Stack is empty → ACCEPT

We can clearly see how the stack helps with counting.


⭐ Why PDAs Matter (In Real Life)

PDAs form the backbone of:

  • Compilers
  • Parsing algorithms
  • Checking valid code structures
  • Understanding nested patterns in programming languages

Whenever you run a program and the compiler checks whether your parentheses or loops are written correctly, somewhere inside, a PDA-like logic is working.

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Previous: Chomsky Normal Form — Theory of Computation
Next: Pushdown Automata for Properly Nested Parentheses

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