Why are complements (such as 1's and 2's complement) used in digital number…

2025

Why are complements (such as 1's and 2's complement) used in digital number systems?

  1. A.

    To facilitate subtraction operations using only addition logic in binary arithmetic.

  2. B.

    To enable accurate representation of decimal fractions in binary format.

  3. C.

    To simplify floating-point arithmetic operations in digital processors.

  4. D.

    To convert hexadecimal values directly into BCD representations.

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Correct answer: A

Complements simplify arithmetic operations in digital systems by enabling subtraction through addition. They also allow for a unique representation of zero and simplify hardware design in computers.


Note for more understanding

In digital electronics, manufacturing space on a silicon chip is precious. Building a circuit that can perform addition requires logic gates configured as Full Adders. If a computer had to perform subtraction the way humans do (borrowing from the next column), engineers would have to design and build an entirely separate, complex circuit called a Full Subtractor.

Complement arithmetic elegantly solves this hardware bloat through a mathematical trick:

  1. Transforming Subtraction into Addition: Mathematically, subtracting a binary number B from A is identical to adding a negative B:

    A - B = A + (-B)

  2. The Role of 2's Complement: In a 2's complement system, a negative number is represented by inverting all its bits (which is the 1's complement) and adding 1.

  3. Hardware Efficiency: Because of this representation, when the processor needs to execute a subtraction instruction, it can simply route the second operand ($B$) through an inverter (NOT gates) to flip the bits, set the carry-in bit of the initial adder to 1 (completing the 2's complement transformation), and run it through the exact same Arithmetic Logic Unit (ALU) addition hardware.

This single unified design reduces the number of transistors required on a chip, lowers power consumption, and speeds up computation times.

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