Difference between revisions of "Tangent Plane"
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+ | ==Tangent Plane== | ||
+ | Intuitively, it seems clear that, in a plane, only one line can be tangent to a curve at a point. However, in three-dimensional space, many lines can be tangent to a given point. If these lines lie in the same plane, they determine the tangent plane at that point. A tangent plane at a regular point contains all of the lines tangent to that point. A more intuitive way to think of a tangent plane is to assume the surface is smooth at that point (no corners). Then, a tangent line to the surface at that point in any direction does not have any abrupt changes in slope because the direction changes smoothly. | ||
+ | |||
+ | '''Definition of Tangent Plane''' | ||
+ | [[File:Tangent plane.jpg|thumb|Tangent plane]] | ||
+ | : Let <math> P_0 = (x_0,y_0,z_0) </math> be a point on a surface <math>S</math>, and let <math>C</math> be any curve passing through <math>P_0</math> and lying entirely in <math>S</math>. If the tangent lines to all such curves <math>C</math> at <math>P_0</math> lie in the same plane, then this plane is called the tangent plane to <math>S</math> at <math>P_0</math>. | ||
+ | |||
+ | For a tangent plane to a surface to exist at a point on that surface, it is sufficient for the function that defines the surface to be differentiable at that point, defined later in this section. We define the term tangent plane here and then explore the idea intuitively. | ||
+ | |||
+ | '''Equation of Tangent Plane''' | ||
+ | : Let <math>S</math> be a surface defined by a differentiable function <math>z=f(x,y)</math>, and let <math>P_0 = (x_0,y_0) </math> be a point in the domain of <math>f</math>. Then, the equation of the tangent plane to <math>S</math> at <math>P_0</math> is given by | ||
+ | : <math> z = f(x_0,y_0) + f_x(x_0,y_0)(x - x_0) + f_y(x_0,y_0)(y - y_0) </math> | ||
+ | |||
+ | To see why this formula is correct, let’s first find two tangent lines to the surface S. The equation of the tangent line to the curve that is represented by the intersection of S with the vertical trace given by <math>x = x_0</math> is <math>z=f(x_0,y_0)+f_y(x_0,y_0)(y-y_0)</math>. Similarly, the equation of the tangent line to the curve that is represented by the intersection of <math>S</math> with the vertical trace given by <math>y=y_0</math> is <math>z = f(x_0,y_0) + f_x(x_0,y_0)(x - x_0)</math>. A parallel vector to the first tangent line is <math>a = \mathbf{j} + f_y(x_0,y_0)\mathbf{k}</math>; a parallel vector to the second tangent line is <math> b = \mathbf{i} + f_x(x_0,y_0)\mathbf{k} </math>. We can take the cross product of these two vectors: | ||
+ | |||
+ | :<math> | ||
+ | a\times b = (\mathbf{j} + f_y(x_0,y_0)\mathbf{k}) \times (\mathbf{i}+f_x(x_0,y_0)\mathbf{k}) </math> | ||
+ | ::: <math> = f_x(x_0,y_0)\mathbf{i}+f_y(x_0,y_0)\mathbf{j} - \mathbf{k} </math> | ||
+ | |||
+ | This vector is perpendicular to both lines and is therefore perpendicular to the tangent plane. We can use this vector as a normal vector to the tangent plane, along with the point <math>P_0=(x_0,y_0,f(x_0,y_0))</math> in the equation for a plane: | ||
+ | |||
+ | : <math> n\cdot ((x-x_0)\mathbf{i}+(y-y_0)\mathbf{j}+(z-f(x_0,y_0))\mathbf{k}) = 0 </math> | ||
+ | |||
+ | : <math> \implies (f_x(x_0,y_0)\mathbf{i}+f_y(x_0,y_0)\mathbf{j}-\mathbf{k})\cdot ((x-x_0)i+(y-y_0)\mathbf{j}+(z-f(x_0,y_0))\mathbf{k}) = 0 </math> | ||
+ | |||
+ | : <math> \implies f_x(x_0,y_0)(x-x_0)+f_y(x_0,y_0)(y-y_0)-(z-f(x_0,y_0)) = 0 </math> | ||
+ | |||
+ | : <math> \implies z = f(x_0,y_0) + f_x(x_0,y_0)(x - x_0) + f_y(x_0,y_0)(y - y_0) </math> | ||
+ | |||
+ | ==Linear Approximations== | ||
+ | When working with a function of two variables, the tangent line is replaced by a tangent plane, but the approximation idea is much the same. | ||
+ | |||
+ | '''Definition of Linear Approximation''' | ||
+ | Given a function <math> z=f(x,y) </math> with continuous partial derivatives that exist at the point <math>(x_0,y_0)</math>, the linear approximation of <math> f </math> at the point <math> (x_0,y_0) </math> is given by the equation | ||
+ | |||
+ | : <math> L(x,y) = f(x_0,y_0) + f_x(x_0,y_0)(x - x_0) + f_y(x_0,y_0)(y-y_0) </math> | ||
+ | |||
+ | Notice that this equation also represents the tangent plane to the surface defined by <math> z = f(x,y) </math> at the point <math> (x_0,y_0) </math>. The idea behind using a linear approximation is that, if there is a point <math> (x_0,y_0) </math> at which the precise value of <math> f(x,y) </math> is known, then for values of <math> (x,y) </math> reasonably close to <math> (x0,y0) </math>, the linear approximation (i.e., tangent plane) yields a value that is also reasonably close to the exact value of <math> f(x,y) </math>. Furthermore the plane that is used to find the linear approximation is also the tangent plane to the surface at the point <math>(x_0,y_0)</math>. | ||
+ | |||
+ | ==Resources== | ||
+ | * [https://openstax.org/books/calculus-volume-3/pages/4-4-tangent-planes-and-linear-approximations Tangent planes and linear approximations], OpenStax | ||
+ | * [https://math.libretexts.org/Bookshelves/Calculus/Book%3A_Vector_Calculus_(Corral)/02%3A_Functions_of_Several_Variables/2.03%3A_Tangent_Plane_to_a_Surface Tangent Plane to a Surface], Mathematics LibreTexts | ||
+ | |||
+ | ===Videos=== | ||
* [https://www.youtube.com/watch?v=6paZkmBMZwQ Tangent planes | MIT 18.02SC Multivariable Calculus, Fall 2010] | * [https://www.youtube.com/watch?v=6paZkmBMZwQ Tangent planes | MIT 18.02SC Multivariable Calculus, Fall 2010] | ||
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*[https://www.youtube.com/watch?v=e1Kp-fUIJCU Tangent Plane Approximations] Video by -patrickJMT | *[https://www.youtube.com/watch?v=e1Kp-fUIJCU Tangent Plane Approximations] Video by -patrickJMT | ||
+ | |||
+ | ==Licensing== | ||
+ | Content obtained and/or adapted from: | ||
+ | * [https://openstax.org/books/calculus-volume-3/pages/4-4-tangent-planes-and-linear-approximations Tangent planes and linear approximations, OpenStax] under a CC BY-SA license | ||
+ | * [https://math.libretexts.org/Bookshelves/Calculus/Book%3A_Vector_Calculus_(Corral)/02%3A_Functions_of_Several_Variables/2.03%3A_Tangent_Plane_to_a_Surface Tangent Plane to a Surface, Mathematics LibreTexts] under a CC BY-SA license |
Latest revision as of 15:33, 2 November 2021
Tangent Plane
Intuitively, it seems clear that, in a plane, only one line can be tangent to a curve at a point. However, in three-dimensional space, many lines can be tangent to a given point. If these lines lie in the same plane, they determine the tangent plane at that point. A tangent plane at a regular point contains all of the lines tangent to that point. A more intuitive way to think of a tangent plane is to assume the surface is smooth at that point (no corners). Then, a tangent line to the surface at that point in any direction does not have any abrupt changes in slope because the direction changes smoothly.
Definition of Tangent Plane
- Let be a point on a surface , and let be any curve passing through and lying entirely in . If the tangent lines to all such curves at lie in the same plane, then this plane is called the tangent plane to at .
For a tangent plane to a surface to exist at a point on that surface, it is sufficient for the function that defines the surface to be differentiable at that point, defined later in this section. We define the term tangent plane here and then explore the idea intuitively.
Equation of Tangent Plane
- Let be a surface defined by a differentiable function , and let be a point in the domain of . Then, the equation of the tangent plane to at is given by
To see why this formula is correct, let’s first find two tangent lines to the surface S. The equation of the tangent line to the curve that is represented by the intersection of S with the vertical trace given by is . Similarly, the equation of the tangent line to the curve that is represented by the intersection of with the vertical trace given by is . A parallel vector to the first tangent line is ; a parallel vector to the second tangent line is . We can take the cross product of these two vectors:
This vector is perpendicular to both lines and is therefore perpendicular to the tangent plane. We can use this vector as a normal vector to the tangent plane, along with the point in the equation for a plane:
Linear Approximations
When working with a function of two variables, the tangent line is replaced by a tangent plane, but the approximation idea is much the same.
Definition of Linear Approximation Given a function with continuous partial derivatives that exist at the point , the linear approximation of at the point is given by the equation
Notice that this equation also represents the tangent plane to the surface defined by at the point . The idea behind using a linear approximation is that, if there is a point at which the precise value of is known, then for values of reasonably close to , the linear approximation (i.e., tangent plane) yields a value that is also reasonably close to the exact value of . Furthermore the plane that is used to find the linear approximation is also the tangent plane to the surface at the point .
Resources
- Tangent planes and linear approximations, OpenStax
- Tangent Plane to a Surface, Mathematics LibreTexts
Videos
- Determining the Equation of a Tangent Plane Video by Mathispower4u 2011
- Ex 1: Find the Equation of a Tangent Plane to a Surface video by Mathispower4u 2014
- How To Find The Equation of the Normal Line-The Organic Chemistry Tutor 2014 Video by The Organic Chemistry Tutor 2014
- quation of the normal line at a point (KristaKingMath) Video by KristaKingMath 2012
- Tangent Plane Approximations Video by -patrickJMT
Licensing
Content obtained and/or adapted from:
- Tangent planes and linear approximations, OpenStax under a CC BY-SA license
- Tangent Plane to a Surface, Mathematics LibreTexts under a CC BY-SA license