Sign Variation
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In mathematics, Budan's theorem is a theorem for bounding the number of real roots of a polynomial in an interval, and computing the
parity Parity may refer to: * Parity (computing) ** Parity bit in computing, sets the parity of data for the purpose of error detection ** Parity flag in computing, indicates if the number of set bits is odd or even in the binary representation of the r ...
of this number. It was published in 1807 by François Budan de Boislaurent. A similar theorem was published independently by
Joseph Fourier Jean-Baptiste Joseph Fourier (; ; 21 March 1768 – 16 May 1830) was a French people, French mathematician and physicist born in Auxerre and best known for initiating the investigation of Fourier series, which eventually developed into Fourier an ...
in 1820. Each of these theorems is a corollary of the other. Fourier's statement appears more often in the literature of 19th century and has been referred to as Fourier's, Budan–Fourier, Fourier–Budan, and even Budan's theorem Budan's original formulation is used in fast modern algorithms for real-root isolation of polynomials.


Sign variation

Let c_0, c_1, c_2, \ldots c_k be a finite sequence of real numbers. A ''sign variation'' or ''sign change'' in the sequence is a pair of indices such that c_ic_j < 0, and either or c_k = 0 for all such that . In other words, a sign variation occurs in the sequence at each place where the signs change, when ignoring zeros. For studying the real roots of a polynomial, the number of sign variations of several sequences may be used. For Budan's theorem, it is the sequence of the coefficients. For the Budan–Fourier theorem, it is the sequence of values of the successive derivatives at a point. For
Sturm's theorem In mathematics, the Sturm sequence of a univariate polynomial is a sequence of polynomials associated with and its derivative by a variant of Euclid's algorithm for polynomials. Sturm's theorem expresses the number of distinct real roots of loca ...
it is the sequence of values at a point of the
Sturm sequence In mathematics, the Sturm sequence of a univariate polynomial is a sequence of polynomials associated with and its derivative by a variant of Euclid's algorithm for polynomials. Sturm's theorem expresses the number of distinct real number, real R ...
.


Descartes' rule of signs

All results described in this article are based on Descartes' rule of signs. If is a univariate polynomial with real coefficients, let us denote by the number of its positive real roots, counted with their multiplicity,This means that a root of multiplicity is counted as roots. and by the number of sign variations in the sequence of its coefficients. Descartes's rule of signs asserts that : is a nonnegative even integer. In particular, if , then one has .


Budan's statement

Given a univariate polynomial with real coefficients, let us denote by the number of real roots, counted with their multiplicities, of in a half-open interval (with real numbers). Let us denote also by the number of sign variations in the sequence of the coefficients of the polynomial . In particular, one has with the notation of the preceding section. Budan's theorem is the following: :v_\ell(p)-v_r(p)-\#_ is a nonnegative even integer. As \#_ is non negative, this implies v_\ell(p)\ge v_r(p). This is a generalization of Descartes' rule of signs, as, if one chooses sufficiently large, it is larger than all real roots of , and all the coefficients of p_r(x) are positive, that is v_r(p)=0. Thus v_0(p)= v_0(p)- v_r(p), and \#_+ = \#_, which makes Descartes' rule of signs a special case of Budan's theorem. As for Descartes' rule of signs, if v_\ell(p)-v_r(p)\le 1, one has \#_=v_\ell(p)-v_r(p). This means that, if v_\ell(p)-v_r(p)\le 1 one has a "zero-root test" and a "one-root test".


Examples

1. Given the polynomial p(x)=x^3 -7x + 7, and the open interval (0,2), one has : \beginp(x+0)&=p(x)=x^3 -7x + 7\\ p(x+2)&=(x+2)^3 -7(x+2) + 7=x^3+6x^2+5x+1 \end. Thus, v_0(p)-v_2(p)= 2-0=2, and Budan's theorem asserts that the polynomial p(x) has either two or zero real roots in the open interval (0,2). 2. With the same polynomial p(x)=x^3 -7x + 7 one has : p(x+1)=(x+1)^3 -7(x+1) + 7=x^3+3x^2-4x+1. Thus, v_0(p)-v_1(p)= 2-2=0, and Budan's theorem asserts that the polynomial p(x) has no real root in the open interval (0,1). This is an example of the use of Budan's theorem as a zero-root test.


Fourier's statement

Fourier's theorem on polynomial real roots, also called Fourier–Budan theorem or Budan–Fourier theorem (sometimes just Budan's theorem) is exactly the same as Budan's theorem, except that, for and , the sequence of the coefficients of is replaced by the sequence of the derivatives of at . Each theorem is a corollary of the other. This results from the Taylor expansion :p(x)=\sum_^ \frac (x-h)^i of the polynomial at , which implies that the coefficient of in is the quotient of p^(h) by , a positive number. Thus the sequences considered in Fourier's theorem and in Budan's theorem have the same number of sign variations. This strong relationship between the two theorems may explain the priority controversy that occurred in 19th century, and the use of several names for the same theorem. In modern usage, for computer computation, Budan's theorem is generally preferred since the sequences have much larger coefficients in Fourier's theorem than in Budan's, because of the factorial factor.


Proof

As each theorem is a corollary of the other, it suffices to prove Fourier's theorem. Thus, consider a polynomial , and an interval . When the value of increases from to , the number of sign variations in the sequence of the derivatives of may change only when the value of pass through a root of or one of its derivatives. Let us denote by either the polynomial or any of its derivatives. For any root of multiplicity of , this polynomial is well approximated near by a(x-h)^m for some constant . Moreover, for , its th derivative is approximated by \textstyle a(x-h)^\prod_^i (m-j+1). It follows that, in the sequence formed by and its first derivatives, there are sign variations for and zero for . This shows that, when increases and passes through a root of of multiplicity , then the number of sign variations in the sequence of the derivative decreases by . Now, for , let be a root of the th derivative f=p^ of , which is not a root of p^. There are two cases to be considered. If the multiplicity of the root is even, then f=p^ and p^ keep a constant sign when pass through . This implies that the number of sign of variation in the sequence of derivatives decrease by the even number . On the other hand, if is odd, f=p^ changes of sign at , while p^ does not. There are thus sign variations. Thus, when pass through , the number of sign variation decrease either of or , which are nonnegative even numbers in each case.


History

The problem of counting and locating the real roots of a polynomial started to be systematically studied only in the beginning of the 19th century. In 1807, François Budan de Boislaurent discovered a method for extending Descartes' rule of signs—valid for the interval —to any interval.
Joseph Fourier Jean-Baptiste Joseph Fourier (; ; 21 March 1768 – 16 May 1830) was a French people, French mathematician and physicist born in Auxerre and best known for initiating the investigation of Fourier series, which eventually developed into Fourier an ...
published a similar theorem in 1820, on which he worked for more than twenty years. Because of the similarity between the two theorems, there was a priority controversy, despite the fact that the two theorems were discovered independently. It was generally Fourier's formulation and proof that were used, during the 19th century, in textbooks on the theory of equations.


Use in 19th century

Budan's and Fourier's theorems were soon considered of a great importance, although they do not solve completely the problem of counting the number of real roots of a polynomial in an interval. This problem was completely solved in 1827 by
Sturm Sturm (German for storm) may refer to: People * Sturm (surname), surname (includes a list) * Saint Sturm (died 779), 8th-century monk Food * Federweisser, known as ''Sturm'' in Austria, wine in the fermentation stage * Sturm Foods, an Ameri ...
. Although Sturm's theorem is not based on Descartes' rule of signs, Sturm's and Fourier's theorems are related not only by the use of the number of sign variations of a sequence of numbers, but also by a similar approach of the problem. Sturm himself acknowledged having been inspired by Fourier's methods: ''« C'est en m'appuyant sur les principes qu'il a posés, et en imitant ses démonstrations, que j'ai trouvé les nouveaux théorèmes que je vais énoncer. »'' which translates into ''« It is by relying upon the principles he has laid out and by imitating his proofs that I have found the new theorems which I am about to present. »'' Because of this, during the 19th century, Fourier's and Sturm's theorems appeared together in almost all books on the theory of equations. Fourier and Budan left open the problem of reducing the size of the intervals in which roots are searched in a way that, eventually, the difference between the numbers of sign variations is at most one, allowing certifying that the final intervals contains at most one root each. This problem was solved in 1834 by Alexandre Joseph Hidulph Vincent. Roughly speaking, Vincent's theorem consists of using continued fractions for replacing Budan's linear transformations of the variable by
Möbius transformation In geometry and complex analysis, a Möbius transformation of the complex plane is a rational function of the form f(z) = \frac of one complex variable ''z''; here the coefficients ''a'', ''b'', ''c'', ''d'' are complex numbers satisfying ''ad'' ...
s. Budan's, Fourier's and Vincent theorem sank into oblivion at the end of 19th century. The last author mentioning these theorems before the second half of 20th century Joseph Alfred Serret. They were introduced again in 1976 by Collins and Akritas, for providing, in
computer algebra In mathematics and computer science, computer algebra, also called symbolic computation or algebraic computation, is a scientific area that refers to the study and development of algorithms and software for manipulating mathematical expressions ...
, an efficient algorithm for real roots isolation on computers.


See also

* Properties of polynomial roots * Root-finding algorithm


References


External links

{{MacTutor, title=Budan de Boislaurent Mathematical theorems Root-finding algorithms Real algebraic geometry