Solutions to famous mathematical questions with equations

Checked on January 20, 2026
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Executive summary

A brief tour of celebrated equations shows how some mathematical questions are neatly solved by compact formulas — for example, the Pythagorean relation a^2 + b^2 = c^2 and Einstein’s E = mc^2 — while other “famous” problems remain open or only partially tamed by equations, as with Navier–Stokes or P vs NP (the latter still debated in popular sources) [1] [2] [3] [4].

1. Classical geometry made concrete: the Pythagorean equation

The most elementary solution-bearing equation is the Pythagorean theorem, which states that for any right triangle the square of the hypotenuse equals the sum of the squares of the legs, a^2 + b^2 = c^2, and this relation has been taught since antiquity and continues to serve as a cornerstone of geometry [1] [5].

2. Unity of constants: Euler’s identity as a ‘solution’ to aesthetic questions

Euler’s identity e^{iπ} + 1 = 0 is celebrated for tying together five fundamental constants and for resolving an aesthetic question about how disparate mathematical objects — e, i, π, 1, 0 — coherently interact in a single equation, a fact often invoked in profiles of the most beautiful equations [2].

3. Equations that solved scientific puzzles: E = mc^2 and Shannon’s capacity

Einstein’s E = mc^2 distilled a physical insight — mass–energy equivalence — into a simple equation that answered long-standing questions about the relationship between mass and energy [1], while Claude Shannon’s channel-capacity formula C = B · log2(1 + S/N) (often written in variants) provided a concrete bound on how much information can be transmitted over a noisy channel and so solved a central problem in communications theory [6].

4. Partial solutions and grand open problems: Navier–Stokes and P vs NP

Not all famous mathematical questions admit neat closed-form solutions; the Navier–Stokes equations give an extraordinarily useful system for fluid flow whose practical — often numerical — solutions power engineering simulations, yet the existence of smooth, global solutions in three dimensions remains an open million-dollar Clay Prize problem [3] [7], and computational complexity’s P vs NP question is discussed as the kind of statement that, if resolved (for example by a proof of P = NP), would rewrite theory and practice but remains unresolved and controversial in public-facing sources [4].

5. Ancient diophantine puzzles and algebraic strategies: Pell equations and the rise of calculus

Equations that ask for integer solutions — exemplified by forms now called Pell equations — have occupied thinkers from Brahmagupta and Bhāskara II through later European mathematicians and admit algorithmic methods for producing integer solutions rather than single closed-form identities [8]; similarly, the advent of calculus — credited independently to Newton and Leibniz — transformed problems about slopes, areas and limits into equations and methods that “solved” whole classes of previously intractable problems by providing differential and integral formalisms used across science [9].

6. What counts as a ‘solution’ and the hidden agendas of lists of equations

Popular lists and magazine pieces — such as Ian Stewart’s accounts or “equations that changed the world” compilations — frame certain formulas as decisive solutions because they tie disparate ideas together or deliver practical engineering power [3] [10] [7], but those lists reflect choices and narratives: some highlight elegance (Scientific American’s picks), others emphasize historical impact (Business Insider, Live Science), and none replace the technical literature that distinguishes closed-form proofs, numerical approximations, algorithmic procedures, and open conjectures [11] [1] [10].

Want to dive deeper?
What are the formal statements and current status of the Navier–Stokes existence and smoothness problem?
How did Euler’s identity and other ‘beautiful’ equations influence later mathematical discoveries?
What would a proof that P = NP imply for cryptography and practical computation?