Multiplicity ( mathematics ) - wikipedia Multiplicity ( mathematics ) In mathematics, the multiplicity of a member of a multiset is the number of times it appears in the multiset. For example, the number of times a given polynomial equation has a root at a given point. The notion of multiplicity is important to be able to count correctly without specifying exceptions ( for example, double roots counted twice ). Hence the expression, `` counted with multiplicity ''. If multiplicity is ignored, this may be emphasized by counting the number of distinct elements, as in `` the number of distinct roots ''. However, whenever a set ( as opposed to multiset ) is formed, multiplicity is automatically ignored, without requiring use of the term `` distinct ''. Contents 1 Multiplicity of a prime factor 2 Multiplicity of a root of a polynomial 2.1 Behavior of a polynomial function near a multiple root 3 Intersection multiplicity 4 In complex analysis 5 References Multiplicity of a prime factor Main article : p - adic order In the prime factorization, for example, 60 = 2 × 2 × 3 × 5 the multiplicity of the prime factor 2 is 2, while the multiplicity of each of the prime factors 3 and 5 is 1. Thus, 60 has 4 prime factors, but only 3 distinct prime factors. Multiplicity of a root of a polynomial Let F be a field and p ( x ) be a polynomial in one variable and coefficients in F. An element a ∈ F is called a root of multiplicity k of p ( x ) if there is a polynomial s ( x ) such that s ( a ) ≠ 0 and p ( x ) = ( x − a ) s ( x ). If k = 1, then a is called a simple root. If k ≥ 2, then a is called a multiple root. For instance, the polynomial p ( x ) = x + 2x − 7x + 4 has 1 and − 4 as roots, and can be written as p ( x ) = ( x + 4 ) ( x − 1 ). This means that 1 is a root of multiplicity 2, and − 4 is a ' simple ' root ( of multiplicity 1 ). Multiplicity can be thought of as `` How many times does the solution appear in the original equation ? ''. The derivative of a polynomial has a multiplicity n - 1 at a root of multiplicity n of the polynomial. The discriminant of a polynomial is zero if and only if the polynomial has a multiple root. Behavior of a polynomial function near a multiple root Graph of the polynomial p ( x ) = x + 2x − 7x + 4 with its roots ( zeros ) - 4 and 1. The root - 4 is a ' simple ' root ( of multiplicity 1 ), and therefore the graph crosses the x-axis at this root. The root 1 is of even multiplicity and therefore the graph bounces off the x-axis at this root. The graph of a polynomial function y = f ( x ) intersects the x-axis at the real roots of the polynomial. The graph is tangent to this axis at the multiple roots of f and not tangent at the simple roots. The graph crosses the x-axis at roots of odd multiplicity and bounces off ( not goes through ) the x-axis at roots of even multiplicity. A non-zero polynomial function is always non-negative if and only if all its roots have an even multiplicity and there exists x such that f ( x ) > 0. Intersection multiplicity Main article : Intersection theory In algebraic geometry, the intersection of two sub-varieties of an algebraic variety is a finite union of irreducible varieties. To each component of such an intersection is attached an intersection multiplicity. This notion is local in the sense that it may be defined by looking at what occurs in a neighborhood of any generic point of this component. It follows that without loss of generality, we may consider, for defining the intersection multiplicity, the intersection of two affines varieties ( sub-varieties of an affine space ). Thus, given two affine varieties V and V, let us consider an irreducible component W of the intersection of V and V. Let d be the dimension of W, and P be any generic point of W. The intersection of W with d hyperplanes in general position passing through P has an irreducible component that is reduced to the single point P. Therefore, the local ring at this component of the coordinate ring of the intersection has only one prime ideal, and is therefore an Artinian ring. This ring is thus a finite dimensional vector space over the ground field. Its dimension is the intersection multiplicity of V and V at W. This definition allows to state precisely Bézout 's theorem and its generalizations. This definition generalizes the multiplicity of a root of a polynomial in the following way. The roots of a polynomial f are points on the affine line, which are the components of the algebraic set defined by the polynomial. The coordinate ring of this affine set is R = K ( X ) / ⟨ f ⟩, ( displaystyle R = K ( X ) / langle f \rangle, ) where K is an algebraically closed field containing the coefficients of f. If f ( X ) = ∏ i = 1 k ( X − α i ) m i ( displaystyle f ( X ) = prod _ ( i = 1 ) ^ ( k ) ( X - alpha _ ( i ) ) ^ ( m_ ( i ) ) ) is the factorization of f, then the local ring of R at the prime ideal ⟨ X − α i ⟩ ( displaystyle langle X - alpha _ ( i ) \rangle ) is K ( X ) / ⟨ ( X − α ) m i ⟩. ( displaystyle K ( X ) / langle ( X - alpha ) ^ ( m_ ( i ) ) \rangle. ) This is a vector space over K, which has the multiplicity m i ( displaystyle m_ ( i ) ) of the root as a dimension. This definition of intersection multiplicity, which is essentially due to Jean - Pierre Serre in his book Local algebra, works only for the set theoretic components ( also called isolated components ) of the intersection, not for the embedded components. Theories have been developed for handling the embedded case ( see intersection theory for details ). In Complex analysis Let z be a root of a holomorphic function ƒ, and let n be the least positive integer such that, the n derivative of ƒ evaluated at z differs from zero. Then the power series of ƒ about z begins with the n term, and ƒ is said to have a root of multiplicity ( or `` order '' ) n. If n = 1, the root is called a simple root. We can also define the multiplicity of the zeroes and poles of a meromorphic function thus : If we have a meromorphic function ƒ = g / h, take the Taylor expansions of g and h about a point z, and find the first non-zero term in each ( denote the order of the terms m and n respectively ). if m = n, then the point has non-zero value. If m > n, then the point is a zero of multiplicity m − n. If m < n, then the point has a pole of multiplicity n − m. References Jump up ^ ( Krantz 1999, p. 70 ) Krantz, S.G. Handbook of Complex Variables. Boston, MA : Birkhäuser, 1999. ISBN 0 - 8176 - 4011 - 8. Retrieved from `` https://en.wikipedia.org/w/index.php?title=Multiplicity_(mathematics)&oldid=803620948 '' Categories : Set theory Mathematical analysis Talk Contents About Wikipedia Català Deutsch Español Esperanto Français 日本 語 தமிழ் 中文 Edit links This page was last edited on 3 October 2017, at 16 : 49. Text is available under the Creative Commons Attribution - ShareAlike License ; additional terms may apply. By using this site, you agree to the Terms of Use and Privacy Policy. Wikipedia ® is a registered trademark of the Wikimedia Foundation, Inc., a non-profit organization. About Wikipedia

Question: why is it important to consider multiplicity when determining the roots of a polynomial equation
Answer: to be able to count correctly without specifying exceptions