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Orders of magnitude (numbers)

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Smaller than 10−100 (one googolth)

  • Mathematics: The difference between 3 and the next smallest fusible number is less than 1/(2↑916) in Knuth's up-arrow notation.
  • Mathematics: 2−1541023937 ≈ 8.4489×10−463894430 is the difference between 3 and the next smallest tame fusible number as defined by Erickson et al. (2021).
  • Mathematics: 10−183800 is the approximate probability that a typing "monkey", or an English-illiterate typing robot, when placed in front of a typewriter with no spaces or punctuation, will type out William Shakespeare's play Hamlet on the first try.
  • Computing: 2−262378 ≈ 2.24800708647703657297018614776265182597360918266100276294348974547709294462×10−78984 is the smallest non-zero value that can be represented by an octuple-precision IEEE floating-point value.
  • Computing: 2−262142 ≈ 2.48242795146434978829932822291387172367768770607964686927095329791378756×10−78913 is the smallest positive normal number that can be represented by an octuple-precision IEEE floating-point value.
  • Computing: 1×10−6176 is the smallest non-zero value that can be represented by a quadruple-precision IEEE decimal floating-point value.
  • Computing: 1×10−6143 is the smallest positive normal number that can be represented by a quadruple-precision IEEE decimal floating-point value.
  • Computing: 2−16494 ≈ 6.4751751194380251109244389582276466×10−4966 is the smallest non-zero value that can be represented by a quadruple-precision IEEE floating-point value.
  • Computing: 2−16445 ≈ 3.6451995318824746025×10−4951 is the smallest non-zero value that can be represented by an 80-bit x86 double-extended IEEE floating-point value.
  • Computing: 2−16382 ≈ 3.3621031431120935062626778173217526×10−4932 is the smallest positive normal number that can be represented by a quadruple-precision IEEE floating-point value and an 80-bit x86 double-extended IEEE floating-point value.
  • Computing: 1×10−398 is the smallest non-zero value that can be represented by a double-precision IEEE decimal floating-point value.
  • Computing: 1×10−383 is the smallest positive normal number that can be represented by a double-precision IEEE decimal floating-point value.
  • Computing: 2−1074 ≈ 4.9406564584124654×10−324 is the smallest non-zero value that can be represented by a double-precision IEEE floating-point value.
  • Computing: 2−1022 ≈ 2.2250738585072014×10−308 is the smallest positive normal number that can be represented by a double-precision IEEE floating-point value.
  • Mathematics: 365!/365365 ≈ 1.45×10−157 is the probability that in a randomly selected group of 365 people, all of them will have different birthdays.
  • Computing: 1×10−101 is the smallest non-zero value that can be represented by a single-precision IEEE decimal floating-point value.

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