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Learn how to count the roots of a polynomial by examining sign changes in its coefficients. See the proof, examples, generalizations and applications of this mathematical theorem by René Descartes.
All results described in this article are based on Descartes' rule of signs. If p(x) is a univariate polynomial with real coefficients, let us denote by # + (p) the number of its positive real roots, counted with their multiplicity, [1] and by v(p) the number of sign variations in the sequence of its coefficients. Descartes's rule of signs ...
Rules 13–24 deal with what Descartes terms "perfectly understood problems", or problems in which all of the conditions relevant to the solution of the problem are known, and which arise principally in arithmetic and geometry. Rules 25–36 deal with "imperfectly understood problems", or problems in which one or more conditions relevant to the ...
Descartes' rule of signs – Counting polynomial real roots based on coefficients; Marden's theorem – On zeros of derivatives of cubic polynomials; Newton's identities – Relations between power sums and elementary symmetric functions; Quadratic function#Upper bound on the magnitude of the roots
Descartes' rule of signs asserts that the difference between the number of sign variations in the sequence of the coefficients of a polynomial and the number of its positive real roots is a nonnegative even integer. It results that if this number of sign variations is zero, then the polynomial does not have any positive real roots, and, if this ...
Descartes' work provided the basis for the calculus developed by Leibniz and Newton, who applied the infinitesimal calculus to the tangent line problem, thus permitting the evolution of that branch of modern mathematics. [139] His rule of signs is also a commonly used method to determine the number of positive and negative roots of a polynomial.
Learn about René Descartes' famous treatise on his method of doubt and his famous statement "I think, therefore I am". The web page also covers the book's organization, content, and influence in modern philosophy and science.
Learn about different methods for finding zeros of continuous functions, such as bisection, false position, interpolation and iterative methods. The web page explains the advantages and disadvantages of each method, and gives examples and references.