Sturm's Theorem

In mathematics, Sturm's theorem is a symbolic procedure to determine the number of unique real roots of a polynomial. It was named for its discoverer, Jacques Charles Franois Sturm. Whereas the fundamental theorem of algebra readily yields the number of real or complex roots of a polynomial, counted according to their multiplicities, Sturm's theorem deals with real roots and disregards their multiplicities. To apply Sturm's theorem, you first construct a Sturm chain from a polynomial X=a_n x^n+\ldots a_1 x+a_0. A sturm chain is the sequence of intermediary results when applying Euclid's algorithm to X and its derivative X_1=X'. To obtain the Sturm chain, you compute
\begin{matrix}
X_2&=&-{\rm rem}(X,X_1)\\ X_3&=&-{\rm rem}(X_1,X_2)\\ &\ldots&\\ 0&=&-{\rm rem}(X_{r-1},X_r), \end{matrix} i.e., you successively take the remainders with a polynom division and change theirs signs. Each X_i is a polynom of at least degree one, hence the algorithm will stop at last. X_r then is the GCD of X and its derivative. If X only had simple roots, it will be a constant. The Sturm chain then is X,X_1,X_2,\ldots,X_r. Let w(\xi) be the number of sign changes (zeroes are not counted) in the sequence X(\xi), X_1(\xi), X_2(\xi),\ldots, X_r(\xi). Sturm's theorem then states that for two real numbers a that are not roots of X, one has that the number of roots in the interval a,b is w(b)-w(a). This can be used to compute the total number of real roots a polynom has (e.g., as an input to a numerical root finder) by choosing a and b appropriately -- for example, all real root of a polynomial with cofficients a_i are in the interval -M,M, where M=\max(1, \sum |a_i|). Alternatively, you can use the fact that for large x, the sign of a polynom P(x)=a_n x^n+\ldots is \sgn(a_n), wheras \sgn(P(-x))=\sgn({(-1)^n} a_n). In this way, simply counting the sign changes in the leading coefficients in the sturm chain readily gives the number of distinct real roots of a polynomial.

 

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