locus The set of all points whose coordinates satisfy a single equation or one or more algebraic See definition of directrix conditions. Remainder A.APR.2 Know When you divide a polynomial by the remainder will be and apply the Theorem Remainder For a Theorem: polynomial p(x) and a number a, the remainder on division by x a – is p(a), so p(a) = 0 if and only if (x a) is a – factor of p(x). successive As it appears in this standard, successive approximations would refer to the process of A.REI.11 Explain why the x-coordinates of approximations using guess and check to determine when . After substituting a value into each expression the points where the one would use clues from the results as to what would be a better guess. This process graphs of the would continue over and over again until the output values from the two expressions come equations y = f(x) and intersect are y = g(x) closer to being equal to one another until a specified degree of precision is reached. the solutions of the equation f(x) = g(x); Example: To find where by using successive approximations you might try find the solutions approximately, e.g., using technology to graph the functions, make tables of values, or find successive approximations. Include cases where
locus See definition of directrix The set of all points whose coordinates satisfy a single equation or one or more algebraic conditions. Remainder Theorem A.APR.2 Know and apply the Remainder Theorem: For a polynomial p(x) and a number a, the remainder on division by x – a is p(a), so p(a) = 0 if and only if (x – a) is a factor of p(x). When you divide a polynomial by the remainder will be successive approximations A.REI.11 Explain why the x-coordinates of the points where the graphs of the equations y = f(x) and y = g(x) intersect are the solutions of the equation f(x) = g(x); find the solutions approximately, e.g., using technology to graph the functions, make tables of values, or find successive approximations. Include cases where As it appears in this standard, successive approximations would refer to the process of using guess and check to determine when . After substituting a value into each expression one would use clues from the results as to what would be a better guess. This process would continue over and over again until the output values from the two expressions come closer to being equal to one another until a specified degree of precision is reached. Example: To find where by using successive approximations you might try
A2_UP_U1_Polynomial_Rational_and_Radical_Relationships_Dec_27.docx