Indeterminate-Multiplier Elimination
Summary: An alternative to the cascaded subtractions of elimination-of-ordinate. To eliminate from two polynomial equations of degrees and in , multiply each by a polynomial in with indeterminate coefficients and , then match coefficients of every power of in the two products. This yields a system of linear equations in unknowns whose solution provides the eliminant. Euler’s §§483–485 — essentially a Bézout/Sylvester-style resultant construction.
Sources: chapter19 (§§483–485).
Last updated: 2026-05-12.
Setup (§483)
Given
with polynomials in alone, we want a single equation in alone that the abscissas of intersections must satisfy. The strategy: form products
with and polynomial in with unknown (indeterminate) coefficients, chosen so that the difference has every power of cancel — except possibly the constant term in , which is the desired equation in .
Counting the indeterminates (§483)
Choose
so that the leading terms in and match automatically (). The number of “free” indeterminate letters in is (the ), in is (the ). Total free letters: .
The matching condition cancels coefficients of , which is equations. Setting number of unknowns = number of equations requires
Then the matching equations exactly determine the indeterminates, leaving the constant-in- coefficient as the eliminant.
The matching equations (§484)
Writing out coefficient comparisons of in and :
\text{$y^k$:} \quad & Pp = Pp \quad \text{(identity)} \\ \text{$y^{k-1}$:} \quad & Pa + Qp = pA + qP \\ \text{$y^{k-2}$:} \quad & Pb + Qa + Rp = pB + qA + rP \\ \text{$y^{k-3}$:} \quad & Pc + Qb + Ra + Sp = pC + qB + rA + sP \\ & \vdots \end{aligned}$$ These are $m + n - 1$ linear equations in the $m + n - 2$ unknowns $A, B, C, \ldots, a, b, c, \ldots$ (counting the identity at the top). The first equation is an identity; the remaining $m + n - 2$ pin down all the indeterminates. The *final* coefficient — the one with no $y$ at all — does not contain any unknowns and is the desired equation in $z$. ## Indeterminate multipliers $\alpha, \beta, \gamma$ (§485) Solving the matching equations directly is awkward. Euler introduces *further* indeterminates $\alpha, \beta, \gamma, \ldots$ to streamline the substitutions. He demonstrates on the (2, 3) case: $$\text{I: } Py^2 + Qy + R = 0, \qquad \text{II: } py^3 + qy^2 + ry + s = 0.$$ Here $m = 2$, $n = 3$, so $k = 4$. Multiply I by $py^2 + ay + b$ (free letters $a, b$, count $= k - n = 1$ — but Euler uses two for symmetry of method), and II by $Py + A$ (free letter $A$). The matching equations are $$\begin{aligned} Pp &= Pp, \\ Pa + Qp &= pA + qP = \alpha, \\ Pb + Qa + Rp &= qA + rP = \beta, \\ Qb + Ra &= rA + sP, \\ Rb &= sA. \end{aligned}$$ The first row is an identity; the last is the final equation in $z$ (the *eliminant*) once the indeterminates have been resolved. The intermediate rows provide solving equations. Resolving step by step: - Row 2: $a = (\alpha - Qp)/P$ and $A = (\alpha - qP)/p$. - Row 3: $b = \beta/P - Qa/P - Rp/P$, leading after substitution to $$b = \frac{\alpha(Pq - Qp)}{P^2 p} + \frac{Q^2 p^2 - P^2 q^2}{P^2 p} + \frac{Pr - Rp}{P}.$$ - Substituting into row 4 yields, after multiplying through by $P^2 p$, $$\alpha Q(Pq - Qp) + \alpha P(Rp - Pr) - Q(Pq - Qp)(Qp + Pq) + PQp(Pr - 2Rp) + P^3 qr - P^3 ps = 0,$$ which gives $$\alpha = \frac{P^2 Qq^2 - Q^3 Qpr - P^2 Qpr + 2PQRp^2 - P^3 qr + P^3 ps}{PQq - Q^2 p + PRp - P^2 r}.$$ (Euler's printed expression in §485 has a slightly different but equivalent shape.) - Substituting into row 5 yields a *second* expression for $\alpha$: $$\alpha = \frac{P^2 Rq^2 - Q^2 RP^2 - P^2 Rpr + PR^2 p^2 - P^3 qs}{PRq - QRp - P^2 s}.$$ - Equating the two expressions for $\alpha$ produces the desired equation in $z$ alone — and Euler notes (§485 closing) that it has the same form as the (2, 3) eliminant of §480. ## Why this method (§483 framing) > Although this method for eliminating one unknown from two equations has wide applications, still we will add another method which does not require so many repeated substitutions. (source: chapter19, §483) The cascaded-subtraction method of [[elimination-of-ordinate]] requires $\min(m, n)$ passes of doubling complexity. The indeterminate-multiplier method instead solves a linear system *all at once*, which scales better for higher $m, n$ and reveals the symmetric structure of the eliminant. It is essentially the **resultant** of two polynomials in $y$, viewed as a determinantal condition for them to share a root — modern formulation: $\operatorname{Res}_y(\text{I}, \text{II})$ as the determinant of the Sylvester matrix. Euler does not phrase the construction matrix-theoretically; he leaves it as a system to be solved by hand. But the framework of multiplying by indeterminate polynomials, then matching coefficients, is exactly the Bézout setup that Cayley and Sylvester would formalize a century later. ## Relation to Bézout's theorem The total degree of the eliminant — the polynomial that the abscissas of intersections satisfy — is at most $mn$ when curves of orders $m$ and $n$ in the variables $(z, y)$ are eliminated for $y$. Counting actual intersections (real + complex, in projective space, with multiplicity) gives exactly $mn$ — the modern Bézout theorem. Euler hints at this in §457 but the systematic $mn$ count is developed in the next chapter. ## Related pages - [[elimination-of-ordinate]] - [[intersection-of-two-curves]] - [[complex-intersections]] - [[chapter-19-on-the-intersection-of-curves]]