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===Equations=== When the curve is given by ''y'' = ''f''(''x'') then the slope of the tangent is <math>dy/dx,</math> so by the [[Linear equation#Point–slope form or Point-gradient form|point–slope formula]] the equation of the tangent line at (''X'', ''Y'') is :<math>y-Y=\frac{dy}{dx}(X) \cdot (x-X)</math> where (''x'', ''y'') are the coordinates of any point on the tangent line, and where the derivative is evaluated at <math>x=X</math>.<ref name=E191>Edwards Art. 191</ref> When the curve is given by ''y'' = ''f''(''x''), the tangent line's equation can also be found<ref>Strickland-Constable, Charles, "A simple method for finding tangents to polynomial graphs", ''[[Mathematical Gazette]]'', November 2005, 466–467.</ref> by using [[polynomial division]] to divide <math>f \, (x)</math> by <math>(x-X)^2</math>; if the remainder is denoted by <math>g(x)</math>, then the equation of the tangent line is given by :<math>y=g(x).</math> When the equation of the curve is given in the form ''f''(''x'', ''y'') = 0 then the value of the slope can be found by [[Implicit and explicit functions#Implicit differentiation|implicit differentiation]], giving :<math> \frac{dy}{dx}=-\frac{\partial f}{\partial x} \bigg/ \frac{\partial f}{\partial y}. </math> The equation of the tangent line at a point (''X'',''Y'') such that ''f''(''X'',''Y'') = 0 is then<ref name=E191/> :<math> \frac{\partial f}{\partial x}(X,Y) \cdot (x-X) + \frac{\partial f}{\partial y}(X,Y) \cdot (y-Y) = 0. </math> This equation remains true if :<math>\frac{\partial f}{\partial y}(X,Y) = 0,\quad \frac{\partial f}{\partial x}(X,Y) \neq 0,</math> in which case the slope of the tangent is infinite. If, however, :<math> \frac{\partial f}{\partial y}(X,Y) = \frac{\partial f}{\partial x}(X,Y) = 0, </math> the tangent line is not defined and the point (''X'',''Y'') is said to be [[singular point of a curve|singular]]. {{clear}} For [[algebraic curve]]s, computations may be simplified somewhat by converting to [[homogeneous coordinate]]s. Specifically, let the homogeneous equation of the curve be ''g''(''x'', ''y'', ''z'') = 0 where ''g'' is a homogeneous function of degree ''n''. Then, if (''X'', ''Y'', ''Z'') lies on the curve, [[Homogeneous function#Positive homogeneity|Euler's theorem]] implies <math display=block>\frac{\partial g}{\partial x} \cdot X +\frac{\partial g}{\partial y} \cdot Y+\frac{\partial g}{\partial z} \cdot Z=ng(X, Y, Z)=0.</math> It follows that the homogeneous equation of the tangent line is :<math> \frac{\partial g}{\partial x}(X,Y,Z) \cdot x + \frac{\partial g}{\partial y}(X,Y,Z) \cdot y + \frac{\partial g}{\partial z}(X,Y,Z) \cdot z = 0. </math> The equation of the tangent line in Cartesian coordinates can be found by setting ''z''=1 in this equation.<ref name=E192>Edwards Art. 192</ref> To apply this to algebraic curves, write ''f''(''x'', ''y'') as :<math>f=u_n+u_{n-1}+\dots+u_1+u_0\,</math> where each ''u''<sub>''r''</sub> is the sum of all terms of degree ''r''. The homogeneous equation of the curve is then :<math>g=u_n+u_{n-1}z+\dots+u_1 z^{n-1}+u_0 z^n=0.\,</math> Applying the equation above and setting ''z''=1 produces :<math>\frac{\partial f}{\partial x}(X,Y) \cdot x + \frac{\partial f}{\partial y}(X,Y) \cdot y + \frac{\partial g}{\partial z}(X,Y,1) =0</math> as the equation of the tangent line.<ref name=E193>Edwards Art. 193</ref> The equation in this form is often simpler to use in practice since no further simplification is needed after it is applied.<ref name=E192 /> If the curve is given [[Parametric equation|parametrically]] by :<math>x=x(t),\quad y=y(t)</math> then the slope of the tangent is :<math> \frac{dy}{dx} = \frac{dy}{dt} \bigg/ \frac{dx}{dt} </math> giving the equation for the tangent line at <math>\, t=T, \, X=x(T), \, Y=y(T)</math> as<ref name=E196>Edwards Art. 196</ref> :<math>\frac{dx}{dt}(T) \cdot (y-Y)=\frac{dy}{dt}(T) \cdot (x-X).</math> If :<math>\frac{dx}{dt}(T)= \frac{dy}{dt}(T) =0, </math> the tangent line is not defined. However, it may occur that the tangent line exists and may be computed from an implicit equation of the curve.
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