coded_binary_logic

Coded Binary Logic problems represent truth-tellers and liars using codes like 1/0 or T/F. Persons may make statements about the code itself, requiring you to decode the pattern or determine the correct code.

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Introduction to coded_binary_logic

Coded Binary Logic problems represent truth-tellers and liars using codes like 1/0 or T/F. Persons may make statements about the code itself, requiring you to decode the pattern or determine the correct code.

Prerequisites

Truth-teller/Liar logic Binary representation Pattern recognition Code breaking
Why This Matters: These are advanced puzzles that combine binary logic with coding. Expect 0-1 questions in CAT and Olympiads.

How to Solve coded_binary_logic Problems

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Step 1: Understand the coding scheme (e.g., 1=Truth-teller, 0=Liar).

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Step 2: Translate each person's statement into a condition involving the code.

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Step 3: The code for a person must be consistent with the truth of their statement.

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Step 4: For a code of length n, each bit represents the type of one person.

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Step 5: Test each possible code (2^n possibilities) or use logical deduction.

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Step 6: The code that makes all statements consistent is the correct code.

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Step 7: Answer the question based on the decoded code.

Example Problem

Example: Three people have a 3-bit code where 1=T, 0=L. A says: 'My bit is 1.' B says: 'A's bit is 0.' C says: 'The code has exactly two 1's.' Find the code. Solution: Step 1: Let code = (a,b,c) where a,b,c ∈ {0,1}. Step 2: A's statement: a=1. Truth of A's statement = (a==1). A's type = a, so a = (a==1). This is true for a=1 (1=1), false for a=0 (0=0? 0=(0==1)=0 works too? Let's solve: a = (a==1). If a=1, RHS=1, works. If a=0, RHS=0, works. So A's statement gives no constraint on a alone? Actually, it's an identity. So A can be 0 or 1. Step 3: B's statement: 'A's bit is 0' means a=0. Truth of B's statement = (a==0). B's type = b, so b = (a==0). Step 4: C's statement: 'The code has exactly two 1's' means a+b+c = 2. Truth of C's statement = (a+b+c==2). C's type = c, so c = (a+b+c==2). Step 5: Test possibilities. If a=1, then b = (1==0)=0. Then a+b+c=1+0+c=1+c. For c=(1+c==2), if c=1, RHS=(2==2)=1, so c=1 works. Then code (1,0,1) sum=2. Works. If a=0, then b=(0==0)=1. Then a+b+c=0+1+c=1+c. For c=(1+c==2), if c=1, RHS=(2==2)=1, so c=1 works. Code (0,1,1) sum=2. Works. Two solutions: (1,0,1) and (0,1,1). Answer: Two possible codes.

Pro Tips & Tricks

  • Write the condition for each person: person's bit = (truth of their statement).
  • This creates a system of equations where the variables are the bits.
  • Solve the system by testing possible bit values or using algebraic deduction.
  • The number of possible codes is 2^n, where n is the number of persons.

Shortcut Methods to Solve Faster

A statement about one's own bit (e.g., 'My bit is 1') is always true (tautology).
A statement about another person's bit creates a direct relationship between bits.
If the code sum is given, that's a powerful constraint.

Common Mistakes to Avoid

Misinterpreting the coding scheme (1=T or 0=T).
Forgetting that the person's type is their bit.
Not testing all possibilities when the system is under-constrained.

Exam Importance

coded_binary_logic is an important topic for various competitive exams. Here's how frequently it appears:

SSC CGL
0-1 questions
BANKING PO
0-1 questions
RAILWAYS RRB
0-1 questions
CAT
1-2 questions
INSURANCE
0-1 questions

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20 practice questions
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