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Analytic geometry
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==Distance and angle== {{main|Distance|Angle}} [[File:Distance Formula.svg|thumb|right|250px|The distance formula on the plane follows from the Pythagorean theorem.]] In analytic geometry, geometric notions such as [[distance]] and [[angle]] measure are defined using [[formula]]s. These definitions are designed to be consistent with the underlying [[Euclidean geometry]]. For example, using [[Cartesian coordinates]] on the plane, the distance between two points (''x''<sub>1</sub>, ''y''<sub>1</sub>) and (''x''<sub>2</sub>, ''y''<sub>2</sub>) is defined by the formula <math display="block">d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2},</math> which can be viewed as a version of the [[Pythagorean theorem]]. Similarly, the angle that a line makes with the horizontal can be defined by the formula <math display="block">\theta = \arctan(m),</math> where ''m'' is the [[slope]] of the line. In three dimensions, distance is given by the generalization of the Pythagorean theorem: <math display="block">d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2+ (z_2 - z_1)^2},</math> while the angle between two vectors is given by the [[dot product]]. The dot product of two Euclidean vectors '''A''' and '''B''' is defined by<ref name="Spiegel2009">{{cite book |author1=M.R. Spiegel |author2=S. Lipschutz |author3=D. Spellman |title= Vector Analysis (Schaum's Outlines)|edition= 2nd |year= 2009|publisher= McGraw Hill|isbn=978-0-07-161545-7}}</ref> <math display="block">\mathbf A\cdot\mathbf B \stackrel{\mathrm{def}}{=} \left\|\mathbf A\right\| \left\|\mathbf B\right\| \cos\theta,</math> where ''ΞΈ'' is the [[angle]] between '''A''' and '''B'''.
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