Indeterminate Analysis

Summary: The branch of algebra that studies equations with fewer equations than unknowns, seeking solutions restricted to integer (or rational) values; the restriction to integers typically limits the solution set to finitely many or to an arithmetic progression.

Sources: chapter-2.0.1, chapter-2.0.2, chapter-2.0.3, chapter-2.0.4, chapter-2.0.5, chapter-2.0.6, chapter-2.0.7, chapter-2.0.8, chapter-2.0.9, chapter-2.0.10, chapter-2.0.11, chapter-2.0.12, chapter-2.0.13, chapter-2.0.14, chapter-2.0.15, additions-3, additions-4, additions-5, additions-6

Last updated: 2026-05-10


Definition

A question is indeterminate when it does not furnish as many equations as there are unknown quantities to be determined; some unknowns then remain free. In pure algebra this freedom yields infinitely many solutions over the reals, but annexing the condition that all values must be integer and positive (or at least rational) drastically reduces the solution count. (source: chapter-2.0.1, §1–2)

Scope and Difficulty

  • Sometimes only finitely many integer solutions exist.
  • Sometimes infinitely many exist but are not easily enumerated.
  • Sometimes no integer solution exists at all.

Because of this variability, Euler notes that the subject “frequently requires artifices entirely appropriate to it, which are of great service in exercising the judgment of beginners.” (source: chapter-2.0.1, §2)

Main Problem Classes (Euler’s Part II)

ChapterFormMethod
I, one equation, two unknownsIterative remainder reduction; Euclidean-table back-substitution
II (Regula Caeci)Two equations, three or more unknownsEliminate one variable; reduce to Chapter I
III; linear, higherDivisor condition on a known constant
IV must be a perfect squareFour rationalization rules; bootstrap from a known solution
V impossibilityResidue-class analysis mod 3, 4, 5, 7; quadratic residues
VI in integersSeed solution + Pell pair yields infinite integer families
VIISolving in integersPell’s descent method; closed forms for near a square; table for
VIII must be a perfect squareTwo-term and three-term root ansätze when ; bootstrap; one new per pass
IX must be a perfect squareThree subclasses (first end square, last end square, both); up to six new values; degree 4 is the upper limit (§146)
X must be a perfect cubeThree subclasses by which end is a cube; biquadrate sketch; sum-of-two-cubes impossibility
XIFactorization of Imaginary factorization; Brahmagupta-Fibonacci identity ; proto-genus theory I × I = II, etc.
XII as a square, cube, or higher powerSet ; odd powers always solvable; even powers need a seed
XIIIImpossibility of , , etc.Infinite descent (Fermat’s method); FLT for ; contrast with which has infinitely many solutions
XIVSeventeen showcase problems: , , etc. all squaresApplication of all prior artifices; theorem both squares ⇔ is sum of two squares; impossibility of both squares (descent)
XVCube-formula problems; ; AP-cube questionsFLT for via + descent; theorem ; four-parameter family for three-cubes-as-cube

Lagrange’s Additions III–VI (Appendices)

Lagrange’s Additions extend the apparatus with general algorithms that subsume several of Euler’s case-by-case methods:

ChapterFormMethod
Add. III in integersCF of ; second-to-last convergent gives the seed solution; subsumes Euler’s Chapter I
Add. IVPolynomial in with linearResultant divisor scan: denominator must divide ; finite candidate set
Add. V rationalLagrange’s descent: strictly decreasing via ; first uniform decision procedure; subsumes Chapters IV
Add. VIDouble and triple equalitiesLinear cases reduce to a simple equality (Add. V); quadratic doubles produce a quartic with no general method

Impossibility

For to be solvable in integers, must divide . If not, the iterative reduction produces a permanent non-integer, proving impossibility. (source: chapter-2.0.1, §22–23)

Solution Structure

When solutions exist and are infinite in number, they form an arithmetical progression: if is one solution to , all solutions are for . The common difference equals the product of the (reduced) moduli. (source: chapter-2.0.1, §13)