Math Problem Statement

Determine the real number represented by the 16 hexadecimal digit number 6074548800000000 considering it as a 64-bit IEEE 754 format double precision number. help me do this step by step

Solution

To convert the hexadecimal number 60745488000000006074548800000000 into a real number represented by the IEEE 754 64-bit double-precision format, let's go through each step carefully.

Step 1: Write Out the Hexadecimal Number in Binary

IEEE 754 double-precision numbers are represented in 64 bits, where:

  • The first bit is the sign bit (1 bit).
  • The next 11 bits are the exponent.
  • The remaining 52 bits are the fraction (or mantissa).

First, convert each hexadecimal digit into its 4-bit binary equivalent.

Hex: 6074548800000000\text{Hex: } 6074548800000000

Breaking down each digit: 6=0110,0=0000,7=0111,4=0100,5=0101,4=0100,8=1000,8=1000,0=0000,0=0000,0=0000,0=0000,0=0000,0=0000,0=0000,0=00006 = 0110, \quad 0 = 0000, \quad 7 = 0111, \quad 4 = 0100, \quad 5 = 0101, \quad 4 = 0100, \quad 8 = 1000, \quad 8 = 1000, \quad 0 = 0000, \quad 0 = 0000, \quad 0 = 0000, \quad 0 = 0000, \quad 0 = 0000, \quad 0 = 0000, \quad 0 = 0000, \quad 0 = 0000

So, the binary representation is: 0110 0000 0111 0100 0101 0100 1000 1000 0000 0000 0000 0000 0000 0000 0000 00000110\ 0000\ 0111\ 0100\ 0101\ 0100\ 1000\ 1000\ 0000\ 0000\ 0000\ 0000\ 0000\ 0000\ 0000\ 0000

This gives us: 01100000011101000101010010001000000000000000000000000000000000000110000001110100010101001000100000000000000000000000000000000000

Step 2: Identify the Sign, Exponent, and Fraction

Based on the IEEE 754 structure:

  1. Sign bit (first bit): 00 (positive number).
  2. Exponent (next 11 bits): 1100000011111000000111.
  3. Fraction (last 52 bits): 01000101010010001000000000000000000000000000000000000100010101001000100000000000000000000000000000000000.

Step 3: Convert the Exponent from Binary to Decimal

The binary exponent is 1100000011111000000111. Converting this to decimal: 110000001112=154311000000111_2 = 1543

In IEEE 754 double precision, the exponent has a bias of 1023. So, we find the actual exponent by subtracting the bias: Actual Exponent=15431023=520\text{Actual Exponent} = 1543 - 1023 = 520

Step 4: Convert the Fraction to Decimal

The fraction part is 01000101010010001000000000000000000000000000000000000100010101001000100000000000000000000000000000000000. To interpret this fraction:

  1. Start with an implicit leading 11 (since the format uses normalized numbers).
  2. Write the binary fraction as 1.01000101010010001000000000000000000000000000000000001.0100010101001000100000000000000000000000000000000000.

Now, convert this binary fraction to decimal by summing powers of 2n2^{-n} for each bit nn after the binary point: 1.0100010101001000100000...21.26464843751.0100010101001000100000..._2 \approx 1.2646484375

Step 5: Put It All Together in the IEEE 754 Formula

The value of the number is given by: Value=(1)sign×2exponent×fraction\text{Value} = (-1)^{\text{sign}} \times 2^{\text{exponent}} \times \text{fraction} Substituting the values: Value=(1)0×2520×1.2646484375\text{Value} = (-1)^0 \times 2^{520} \times 1.2646484375

This represents a very large positive number.

Would you like me to calculate this in decimal form, or is this breakdown sufficient for your needs?


Let me know if you'd like more details on any step or further help with this example.

5 Related Questions to Explore:

  1. How does the IEEE 754 format handle negative exponents?
  2. What are subnormal numbers in IEEE 754, and how are they represented?
  3. Why is there a bias in the exponent, and how does it impact calculations?
  4. What are the limitations of the IEEE 754 format in terms of precision?
  5. How does rounding work in IEEE 754, particularly in double precision?

Tip:

When converting fractions in binary to decimal, remember that each binary place after the point represents powers of 2n2^{-n} (e.g., the first is 212^{-1}, the second 222^{-2}, and so on).

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Math Problem Analysis

Mathematical Concepts

IEEE 754 Floating Point Representation
Binary to Decimal Conversion
Exponential Bias Adjustment
Mantissa Calculation

Formulas

Value = (-1)^sign * 2^exponent * fraction
Exponent = Binary Exponent - Bias
Fraction = 1 + Sum of (binary fraction bits * 2^(-position))

Theorems

IEEE 754 Standard for Floating Point Arithmetic

Suitable Grade Level

College Level (Engineering, Computer Science)