Why simplify with Boolean algebra? What is the primary motivation for using Boolean algebra to simplify logic expressions in digital design?

Introduction / Context:
Boolean algebra provides systematic techniques to transform and minimize logic expressions. Simplification impacts hardware cost, speed, and reliability, which are critical in digital systems from simple glue logic to complex ASICs.

Given Data / Assumptions:

• Simplification aims to reduce literal count, gate count, and logic depth where possible.
• Equivalent transformations preserve functionality.
• Readable expressions aid verification and maintenance.

Concept / Approach:
By applying identities (commutative, associative, distributive) and theorems (DeMorgan’s, absorption, consensus), we can eliminate redundant terms and factors. The results often translate to fewer gates, fewer inputs per gate, and reduced path depth, improving performance and lowering power and area.

Step-by-Step Solution:
Start with the original expression or truth table.Apply Boolean identities to combine or remove terms.Map the simplified expression to a gate-level implementation.Assess improvements: fewer gates, smaller fan-in, and often improved timing and power.

Verification / Alternative check:
Use Karnaugh maps or algorithmic methods (e.g., Quine–McCluskey) to confirm that the simplified expression is functionally equivalent to the original.

Why Other Options Are Wrong:
Each single reason (clarity, gate count, input count) is valid in isolation, but the comprehensive motivation includes all of them.

Common Pitfalls:
Over-simplifying without considering hazards, fan-out limits, or technology mapping constraints; always validate the simplified design against real-world requirements.

Final Answer:
all of the above