The most famous transcendental numbers

Status of Euler’s and Catalan’s constants

  • Multiple comments note that Euler–Mascheroni γ and Catalan’s constant are not known to be transcendental, or even irrational in γ’s case.
  • Some argue they should not appear on a list titled “transcendental numbers,” even with a parenthetical caveat, because math standards require proof, not consensus.

Rigor vs. popularity in labeling numbers

  • One side: titles like “most famous transcendental numbers” should only include numbers proven transcendental, just as we would not state “P ≠ NP” as fact.
  • Other side: the article explicitly flags the uncertainty; the title is about numbers that “are” transcendental in reality, not “known to be,” and famous unproven candidates are part of that landscape.
  • Several see the wording as misleading or “clickbait” for a mathematical topic.

Definitions and algebraic background

  • Transcendental = not a root of any nonzero polynomial with rational coefficients.
  • Clarifications:
    • Irrational but algebraic (e.g., √2) vs. transcendental (e.g., π, e).
    • Standard operations with radicals cannot express all algebraic numbers; Abel–Ruffini and Galois theory are briefly discussed and sometimes misunderstood.

Bases, fields, and transcendence

  • Changing numeral base (even to a transcendental base like π or e) does not affect whether a number is transcendental.
  • In abstract algebra, transcendence is relative to a base field: π is transcendental over ℚ but not over ℚ(π); whether e is transcendental over ℚ(π) is mentioned as open.

“Almost all numbers are transcendental,” randomness, and representation

  • Comments stress: almost all reals are transcendental and even undefinable by finite expressions, though one user notes this “undefinability” depends on set-theoretic subtleties.
  • Debate over whether one can “pick a real at random”:
    • With finite digital representations you only get rationals.
    • Some suggest bit-generating schemes or analog sampling; others counter you still only ever observe finite precision, so outcomes are indistinguishable from rationals.
  • Distinction drawn between definable vs. computable vs. uncomputable numbers.

Physical reality vs mathematical numbers

  • Several argue you never have an actually provable irrational from measurement; physical quantities are modeled by reals, but always measured to finite precision.
  • Counterpoints cite pervasive use of trig, exponentials, and π in both classical and quantum physics; reply is that these are successful models, not evidence that specific transcendentals “exist” as physical magnitudes.

Importance and utility of e, π, 2π, and ln 2

  • One participant claims e is practically unnecessary, and that ln 2 (and 2π rather than π) are the truly important constants, especially for numerical computation with binary exponentials and logarithms.
  • Others strongly disagree, emphasizing:
    • e as the natural base where derivatives of exponentials and logs simplify.
    • Its central role in differential equations, Fourier transforms, probability, and finance.
  • A technical subthread argues that numerical libraries implement e-based functions using ln 2 internally and that binary exponentials and cycle-based trig can be more efficient and accurate; critics respond that this doesn’t diminish e’s conceptual centrality.

Constructed constants and “utility”

  • Some see numbers like Champernowne’s and other concatenation-based constants as “manufactured” with little use beyond existence proofs (e.g., normality).
  • Others reply that fame can come from simplicity or conceptual role, not practical utility, and that essentially all explicit irrational/transcendental constants are “lab-made” in this sense.

Miscellaneous points

  • Mention of Lévy’s constant as another likely transcendental candidate tied to continued fractions.
  • Brief nods to iⁱ and its non-uniqueness; interest in “least famous” transcendental numbers; and connections to automata and continued-fraction-style representations as alternative ways to think about “simple” vs “complex” numbers.