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Unformatted text preview: CS 70 Discrete Mathematics and Probability Theory Fall 2010 Tse/Wagner Note 7 Polynomials Recall from your high school math that a polynomial in a single variable is of the form p ( x ) = a d x d + a d 1 x d 1 + ... + a . Here the variable x and the coefficients a i are usually real numbers. For example, p ( x ) = 5 x 3 + 2 x + 1, is a polynomial of degree d = 3. Its coefficients are a 3 = 5, a 2 = 0, a 1 = 2, and a = 1. Polynomials have some remarkably simple, elegant and powerful properties, which we will explore in this note. First, a definition: we say that a is a root of the polynomial p ( x ) if p ( a ) = 0. For example, the degree 2 polynomial p ( x ) = x 2 4 has two roots, namely 2 and 2, since p ( 2 ) = p ( 2 ) = 0. If we plot the polynomial p ( x ) in the x y plane, then the roots of the polynomial are just the places where the curve crosses the x axis: We now state two fundamental properties of polynomials that we will prove in due course. Property 1: A nonzero polynomial of degree d has at most d roots. Property 2: Given d + 1 pairs ( x 1 , y 1 ) ,..., ( x d + 1 , y d + 1 ) , with all the x i distinct, there is a unique polynomial p ( x ) of degree (at most) d such that p ( x i ) = y i for 1 i d + 1. Let us consider what these two properties say in the case that d = 1. A graph of a linear (degree 1) polynomial y = a 1 x + a is a line. Property 1 says that if a line is not the xaxis (i.e. if the polynomial is not y = 0), then it can intersect the xaxis in at most one point. CS 70, Fall 2010, Note 7 1 Property 2 says that two points uniquely determine a line. Polynomial Interpolation Property 2 says that two points uniquely determine a degree 1 polynomial (a line), three points uniquely determine a degree 2 polynomial, four points uniquely determine a degree 3 polynomial, and so on. Given d + 1 pairs ( x 1 , y 1 ) ,..., ( x d + 1 , y d + 1 ) , how do we determine the polynomial p ( x ) = a d x d + ... + a 1 x + a such that p ( x i ) = y i for i = 1 to d + 1? We will give two different efficient algorithms for reconstructing the coefficients a ,..., a d , and therefore the polynomial p ( x ) . In the first method, we write a system of d + 1 linear equations in d + 1 variables: the coefficients of the polynomial a ,..., a d . The i th equation is: a d x d i + a d 1 x d 1 i + ... + a = y i . Since x i and y i are constants, this is a linear equation in the d + 1 unknowns a ,..., a d . Now solving these equations gives the coefficients of the polynomial p ( x ) . For example, given the 3 pairs ( 1 , 2 ) , ( , 1 ) , and ( 2 , 5 ) , we will construct the degree 2 polynomial p ( x ) which goes through these points. The first equation says a 2 ( 1 ) 2 + a 1 ( 1 )+ a = 2. Simplifying, we get a 2 a 1 + a = 2. Applying the same technique to the second and third equations, we get the following system of equations: a 2 a 1 + a = 2 a = 1 4 a 2 + 2 a 1 + a = 5 Substituting for a and multiplying the first equation by 2 we get: 2...
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This note was uploaded on 02/29/2012 for the course COMPSCI 70 taught by Professor Rau during the Fall '11 term at University of California, Berkeley.
 Fall '11
 Rau

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