Pell Equation

Summary: The Pell equation (or equivalently ) is a Diophantine equation whose integer solutions are the key ingredient in generating infinite families of integer solutions to ; Euler describes Pell’s iterative descent method for finding the minimal positive solution.

Sources: chapter-2.0.6, chapter-2.0.7, chapter-2.0.11, chapter-2.0.12, chapter-2.0.13, additions-2, additions-7, additions-8

Last updated: 2026-05-10


Definition

For a given integer that is positive and not a perfect square, the Pell equation is:

The trivial solution , always exists. The problem is to find the minimal positive solution with .


Why It Matters

The Pell equation is the engine of ch2.0.6-integer-solutions-quadratic-squares: if is any integer solution to , and is any solution to , then

is also an integer solution to . Iterating this map from a single seed produces an infinite sequence of solutions. (source: chapter-2.0.6, §82–86)


Exclusion Conditions (§97)

The equation has no positive integer solution when:

  • : The right side would grow too fast for fixed .
  • is a perfect square: is then a perfect square, and no perfect square can be increased by 1 to yield another perfect square in integers. (If then is between two consecutive squares and for .)

For all other positive integers , a solution always exists.


Pell’s Method (§98–104)

Attribute: Euler credits this to John Pell (1611–1685), an English mathematician. The name has stuck, although the equation predates Pell.

Algorithm (for a given positive non-square ):

  1. Let . The root satisfies for .
  2. Write or depending on whether or .
  3. Square, simplify; express in terms of and .
  4. Bound relative to to pick the next substitution (for appropriate integer ).
  5. Repeat until a radical appears — the same structure as the original problem.
  6. Set , recover the base values, and trace back through the chain.

The method always terminates because the sequence of “active variables” is strictly decreasing at each step (§104).


Closed-Form Solutions Near Perfect Squares (§107–111)

Identity used

Recurrence from the Minimal Solution (§95)

Once the minimal Pell pair is known, the sequence of -values satisfying obeys the linear recurrence

and the same recurrence holds for the -values independently. This means only the first two terms (the seed and the first new value ) are needed to extend the sequence indefinitely.


Selected Minimal Solutions

223
312
549
738
13180649
2918209801
612261539801766319049

The extreme case is famous: its minimal solution has .



Lagrange’s Existence Proof (Add. II, Art. 37)

Euler’s iterative method finds the minimal Pell solution but assumes one exists. The first rigorous proof of existence is Lagrange’s, in Additions Chapter II:

Theorem: For every positive non-square integer , the equation has a positive integer solution.

Proof: Apply the binary-quadratic-form algorithm of Add. II, Art. 33 (see binary-quadratic-forms) to , generating the auxiliary sequences , The fundamental identity together with the alternating-sign argument (Add. II, Art. 34) bounds and . Pigeonhole on the finite integer lattice forces to recur; the period closes with , giving

This is the desired Pell solution. ∎

See periodicity-quadratic-irrationals for the underlying periodicity theorem.


Convergent Characterization (Add. II, Art. 38)

Theorem: If with has a positive integer solution, then must be a principal convergent of .

Proof sketch: From , factor as . Then

(using and ). This is the Hurwitz-style criterion: any rational with is necessarily a principal convergent of . ∎

Consequence: To search for solutions of with small, one only needs to scan the CF expansion of and check each convergent — a far more efficient search than brute force. The full table of CFs for () is in square-root-continued-fractions.


Composition Law (Brahmagupta’s Bhāvanā)

The set of solutions to is multiplicatively closed under the composition law from the brahmagupta-fibonacci-identity (with ):

So if and both satisfy the Pell equation, then does too. Iterating from the minimal solution generates all solutions — the standard modern approach. Euler hints at this in ch2.0.11-quadratic-form-factorization §176.

This composition also explains the surprise of ch2.0.13-impossibility-biquadrate-sums §211: has infinitely many solutions because (a Pell-type auxiliary) has infinitely many.


Closed Form via Powers (Add. VII, Art. 75)

Let be the least positive solution of . Then all integer solutions are or, separating rational and irrational parts, Lagrange proves this exhausts all solutions: any putative intermediate between consecutive powers and would yield a , contradicting minimality.

The binomial expansion gives which is the same as the ch2.0.12-quadratic-form-as-power machinery applied to the form at the value . (source: additions-7, Art. 75)


Historical Attribution (Add. VIII, Art. 85)

Lagrange traces the method:

  • Fermat posed the problem as a challenge to English mathematicians.
  • Brouncker found the iterative solution algorithm.
  • Wallis published it in his Algebra (1685, Ch. 98).
  • Euler rediscovered and extended it; the misnomer “Pell’s equation” comes from Euler.
  • Lagrange gave the first rigorous existence proof (Mélanges de Turin vol. IV; cleaner version in Add. II, Art. 37).

Lagrange also exhibits a counterexample in add8-pell-method-critique showing that the freedom of approximation direction (claimed by Wallis and Euler) can prevent the algorithm from terminating: for , taking the first limit “in minus” and all subsequent limits “in plus” produces a sequence whose leading coefficient never reaches . See wallis-brouncker-method.