Boolean Algebra Theorems – Simplifying Logic Made Easy!
Boolean algebra uses a set of rules and theorems to manipulate logical expressions. These rules are the foundation of digital circuit design and simplification.
1. Identity Theorems
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A + 0 = A
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A · 1 = A
These mean that OR-ing with 0 or AND-ing with 1 doesn’t change the value.
2. Null Theorems
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A + 1 = 1
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A · 0 = 0
OR-ing anything with 1 always gives 1; AND-ing with 0 gives 0.
3. Idempotent Theorems
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A + A = A
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A · A = A
Repeated use of the same variable doesn’t change the result.
4. Complement Theorems
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A + A’ = 1
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A · A’ = 0
A variable OR-ed with its complement is always 1; AND-ed is always 0.
5. Involution Law
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(A’)’ = A
Double negation brings back the original value.
6. Commutative Laws
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A + B = B + A
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A · B = B · A
Order doesn’t matter for OR and AND operations.
7. Associative Laws
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A + (B + C) = (A + B) + C
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A · (B · C) = (A · B) · C
Grouping doesn’t affect the result of OR or AND.
8. Distributive Laws
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A · (B + C) = A·B + A·C
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A + (B · C) = (A + B) · (A + C)
These help in expanding or factoring expressions.
9. Absorption Theorems
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A + A·B = A
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A · (A + B) = A
These remove redundant terms to simplify expressions.
10. DeMorgan’s Theorems
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(A · B)’ = A’ + B’
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(A + B)’ = A’ · B’
Important for converting between AND/OR and NAND/NOR.
Practical Use
These theorems are widely used in:
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Simplifying logic circuits
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Reducing gate count
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Designing combinational logic (e.g., multiplexers, decoders)
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Optimizing software logic (especially in embedded systems)
Stay tuned to hobitronics.blog
To know more about Logic Gates: Understanding Logic Gates
Good job, took me back to my uni years 😅
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