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Lesson 20 (Section 15.4)
                    Tangent Planes

                         Math 20


                     November 5, 2007


Announcements
   Problem Set 7 on the website. Due November 7.
   No class November 12. Yes class November 21.
   OH: Mondays 1–2, Tuesdays 3–4, Wednesdays 1–3 (SC 323)
   Prob. Sess.: Sundays 6–7 (SC B-10), Tuesdays 1–2 (SC 116)
Outline



   Tangent Lines in one variable


   Tangent lines in two or more variables


   Tangent planes in two variables


   One more example
Tangent Lines in one variable
Summary



  Fact
  The tangent line to y = f (x) through the point (x0 , y0 ) has
  equation
                      y = f (x0 ) + f (x0 )(x − x0 )
Summary



  Fact
  The tangent line to y = f (x) through the point (x0 , y0 ) has
  equation
                      y = f (x0 ) + f (x0 )(x − x0 )

         The expression f (x0 ) is a number, not a function!
         This is the best linear approximation to f near x0 .
         This is the first-degree Taylor polynomial for f .
Example


  Example
                                                  √
  Find the equation for the tangent line to y =       x at x = 4.
Example


  Example
                                                  √
  Find the equation for the tangent line to y =       x at x = 4.

  Solution
  We have
                   dy            1           1 1
                               =√          =√=
                   dx                          4
                                2x          24
                         x=4         x=4
  So the tangent line has equation

                        y = 2 + 4 (x − 4) = 1 x + 1
                                1
                                            4
Outline



   Tangent Lines in one variable


   Tangent lines in two or more variables


   Tangent planes in two variables


   One more example
Recall




   Any line in Rn can be described by a point a and a direction v and
   given parametrically by the equation

                              x = a + tv
Last time we differentiated the curve

                        x → (x, y0 , f (x, y0 ))

at x = x0 and said that was a line tangent to the graph at (x0 , y0 ).
Example
  Let f = f (x, y ) = 4 − x 2 − 2y 4 . Look at the point P = (1, 1, 1)
  on the graph of f .




                                                                     0
                                                                     -10
                                                                z
                                                                     -20
                                                                     -30
    -2                                                              -2
          -1                                               -1

                   0                               0
               y                                       x
                         1                  1
There are two interesting curves going through the point P:

         x → (x, 1, f (x, 1))         y → (1, y , f (1, y ))

Each of these is a one-variable function, so makes a curve, and has
a slope!
There are two interesting curves going through the point P:

         x → (x, 1, f (x, 1))              y → (1, y , f (1, y ))

Each of these is a one-variable function, so makes a curve, and has
a slope!

       d                       d
                                  2 − x2         = −2x|x=1 = −2.
          f (x, 1)         =
       dx                      dx
                     x=1                   x−1
Last time we differentiated the curve

                        x → (x, y0 , f (x, y0 ))

at x = x0 and said that was a line tangent to the graph at (x0 , y0 ).
That vector is (1, 0, f1 (x0 , y0 )).
Last time we differentiated the curve

                          x → (x, y0 , f (x, y0 ))

at x = x0 and said that was a line tangent to the graph at (x0 , y0 ).
That vector is (1, 0, f1 (x0 , y0 )).
So a line tangent to the graph is given by

             (x, y , z) = (x0 , y0 , z0 ) + t(1, 0, f1 (x0 , y0 ))
There are two interesting curves going through the point P:

          x → (x, 1, f (x, 1))                y → (1, y , f (1, y ))

Each of these is a one-variable function, so makes a curve, and has
a slope!

       d                         d
                                    2 − x2           = −2x|x=1 = −2.
          f (x, 1)          =
       dx                        dx
                      x=1                     x−1

      d                         d
                                   3 − 2y 4          = −8y 3          = −8.
         f (1, y )          =                                  y =1
      dy                        dx
                     y =1                     y =1
Last time we differentiated the curve

                          x → (x, y0 , f (x, y0 ))

at x = x0 and said that was a line tangent to the graph at (x0 , y0 ).
That vector is (1, 0, f1 (x0 , y0 )).
So a line tangent to the graph is given by

             (x, y , z) = (x0 , y0 , z0 ) + t(1, 0, f1 (x0 , y0 ))

Another line is

             (x, y , z) = (x0 , y0 , z0 ) + t(0, 1, f2 (x0 , y0 ))
There are two interesting curves going through the point P:

          x → (x, 1, f (x, 1))                y → (1, y , f (1, y ))

Each of these is a one-variable function, so makes a curve, and has
a slope!

       d                         d
                                    2 − x2           = −2x|x=1 = −2.
          f (x, 1)          =
       dx                        dx
                      x=1                     x−1

      d                         d
                                   3 − 2y 4          = −8y 3          = −8.
         f (1, y )          =                                  y =1
      dy                        dx
                     y =1                     y =1

We see that the tangent plane is spanned by these two
vectors/slopes.
Summary




  Let f a function of n variables differentiable at (a1 , a2 , . . . , an ).
  Then the line given by

  (x1 , x2 , . . . , xn ) = f (a1 , a2 , . . . , an )+t(0, . . . , 1 , . . . , 0, fi (a1 , a2 , . . . , an ))
                                                                    i

  is tangent to the graph of f at (a1 , a2 , . . . , an ).
Example
Find the equations of two lines tangent to z = xy 2 at the point
(2, 1, 2).
Outline



   Tangent Lines in one variable


   Tangent lines in two or more variables


   Tangent planes in two variables


   One more example
Recall



   Definition
   A plane (in three-dimensional space) through a that is orthogonal
   to a vector p = 0 is the set of all points x satisfying

                            p · (x − a) = 0.
Recall



   Definition
   A plane (in three-dimensional space) through a that is orthogonal
   to a vector p = 0 is the set of all points x satisfying

                            p · (x − a) = 0.


   Question
   Given a function and a point on the graph of the function, how do
   we find the equation of the tangent plane?
Let p = (p1 , p2 , p3 ), a = (x0 , y0 , z0 = f (x0 , y0 )).
Let p = (p1 , p2 , p3 ), a = (x0 , y0 , z0 = f (x0 , y0 )). Then p must
satisfy

                         p · (1, 0, f1 (x0 , y0 )) = 0
                         p · (0, 1, f2 (x0 , y0 )) = 0
Let p = (p1 , p2 , p3 ), a = (x0 , y0 , z0 = f (x0 , y0 )). Then p must
satisfy

                         p · (1, 0, f1 (x0 , y0 )) = 0
                         p · (0, 1, f2 (x0 , y0 )) = 0

A solution is to let p1 = f1 (x0 , y0 ), p2 = f2 (x0 , y0 ), p3 = −1.
Summary


  Fact (tangent planes in two variables)
  The tangent plane to z = f (x, y ) through (x0 , y0 , z0 = f (x0 , y0 ))
  has normal vector (f1 (x0 , y0 ), f2 (x0 , y0 ), −1) and equation

         f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) − (z − z0 ) = 0
Summary


  Fact (tangent planes in two variables)
  The tangent plane to z = f (x, y ) through (x0 , y0 , z0 = f (x0 , y0 ))
  has normal vector (f1 (x0 , y0 ), f2 (x0 , y0 ), −1) and equation

         f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) − (z − z0 ) = 0

  or
         z = f (x0 , y0 ) + f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 )
Summary


  Fact (tangent planes in two variables)
  The tangent plane to z = f (x, y ) through (x0 , y0 , z0 = f (x0 , y0 ))
  has normal vector (f1 (x0 , y0 ), f2 (x0 , y0 ), −1) and equation

         f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) − (z − z0 ) = 0

  or
         z = f (x0 , y0 ) + f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 )

       This is the best linear approximation to f near (x0 , y0 ).
       is is the first-degree Taylor polynomial (in two variables) for f .
Outline



   Tangent Lines in one variable


   Tangent lines in two or more variables


   Tangent planes in two variables


   One more example
Example
The number of units of output per day at a factory is
                                                −1/2
                               1 −2  9
                                  x + y −2
              P(x, y ) = 150                           ,
                               10    10

where x denotes capital investment (in units of $1000), and y
denotes the total number of hours (in units of 10) the work force is
employed per day. Suppose that currently, capital investment is
$50,000 and the total number of working hours per day is 500.
Estimate the change in output if capital investment is increased by
$5000 and the number of working hours is decreased by 10 per day.
Example
The number of units of output per day at a factory is
                                                −1/2
                               1 −2  9
                                  x + y −2
              P(x, y ) = 150                           ,
                               10    10

where x denotes capital investment (in units of $1000), and y
denotes the total number of hours (in units of 10) the work force is
employed per day. Suppose that currently, capital investment is
$50,000 and the total number of working hours per day is 500.
Estimate the change in output if capital investment is increased by
$5000 and the number of working hours is decreased by 10 per day.
Solution
                                                    −3/2
                                                           −2
       ∂P                 1    1 −2 9
                                 x + y −2                       x −3
          (x, y ) = 150 −
       ∂x                 2   10    10                     10
                                      −3/2
                        1 −2   9
                           x + y −2          x −3
                = 15
                        10    10
     ∂P
        (50, 50) = 50
     ∂x
Solution
                                                        −3/2
                                                                −2
        ∂P                 1         1 −2 9
                                       x + y −2                       x −3
           (x, y ) = 150 −
        ∂x                 2        10    10                    10
                                          −3/2
                         1 −2   9
                            x + y −2             x −3
                  = 15
                         10    10
      ∂P
         (50, 50) = 50
      ∂x

                                                      −3/2
      ∂P                 1      1 −2 9                         9
                                  x + y −2                          (−2)y −3
         (x, y ) = 150 −
      ∂y                 2     10    10                        10
                                        −3/2
                       1 −2   9
                          x + y −2             x −3
                = 15
                       10    10
    ∂P
       (50, 50) = 135
    ∂y
   So the linear approximation is
                 L = 7500 + 15(x − 50) + 135(y − 50)
Solution, continued


   So the linear approximation is

                 L = 7500 + 15(x − 50) + 135(y − 50)

   If ∆x = 5 and ∆y = −1, then

                 L = 7500 + 15 · 5 + 135 · (−1) = 7440
Solution, continued


   So the linear approximation is

                 L = 7500 + 15(x − 50) + 135(y − 50)

   If ∆x = 5 and ∆y = −1, then

                 L = 7500 + 15 · 5 + 135 · (−1) = 7440

   The actual value is
                              P(55, 49) ≈ 7427
                      13
                            ≈ 1.75%
   So we are off by   7427
Contour plot of P
         100




          80




          60




          40




          20




           0
               0    20   40   60   80   100
Contour plot of L
         100




          80




          60




          40




          20




           0
               0    20   40   60   80   100
Contour plots, superimposed
         100




          80




          60




          40




          20




           0
               0   20    40   60   80   100
Animation of P and its linear approximation at (50, 50)

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Lesson20 Tangent Planes Slides+Notes

  • 1. Lesson 20 (Section 15.4) Tangent Planes Math 20 November 5, 2007 Announcements Problem Set 7 on the website. Due November 7. No class November 12. Yes class November 21. OH: Mondays 1–2, Tuesdays 3–4, Wednesdays 1–3 (SC 323) Prob. Sess.: Sundays 6–7 (SC B-10), Tuesdays 1–2 (SC 116)
  • 2. Outline Tangent Lines in one variable Tangent lines in two or more variables Tangent planes in two variables One more example
  • 3. Tangent Lines in one variable
  • 4.
  • 5.
  • 6. Summary Fact The tangent line to y = f (x) through the point (x0 , y0 ) has equation y = f (x0 ) + f (x0 )(x − x0 )
  • 7. Summary Fact The tangent line to y = f (x) through the point (x0 , y0 ) has equation y = f (x0 ) + f (x0 )(x − x0 ) The expression f (x0 ) is a number, not a function! This is the best linear approximation to f near x0 . This is the first-degree Taylor polynomial for f .
  • 8. Example Example √ Find the equation for the tangent line to y = x at x = 4.
  • 9.
  • 10. Example Example √ Find the equation for the tangent line to y = x at x = 4. Solution We have dy 1 1 1 =√ =√= dx 4 2x 24 x=4 x=4 So the tangent line has equation y = 2 + 4 (x − 4) = 1 x + 1 1 4
  • 11. Outline Tangent Lines in one variable Tangent lines in two or more variables Tangent planes in two variables One more example
  • 12. Recall Any line in Rn can be described by a point a and a direction v and given parametrically by the equation x = a + tv
  • 13.
  • 14. Last time we differentiated the curve x → (x, y0 , f (x, y0 )) at x = x0 and said that was a line tangent to the graph at (x0 , y0 ).
  • 15. Example Let f = f (x, y ) = 4 − x 2 − 2y 4 . Look at the point P = (1, 1, 1) on the graph of f . 0 -10 z -20 -30 -2 -2 -1 -1 0 0 y x 1 1
  • 16. There are two interesting curves going through the point P: x → (x, 1, f (x, 1)) y → (1, y , f (1, y )) Each of these is a one-variable function, so makes a curve, and has a slope!
  • 17. There are two interesting curves going through the point P: x → (x, 1, f (x, 1)) y → (1, y , f (1, y )) Each of these is a one-variable function, so makes a curve, and has a slope! d d 2 − x2 = −2x|x=1 = −2. f (x, 1) = dx dx x=1 x−1
  • 18. Last time we differentiated the curve x → (x, y0 , f (x, y0 )) at x = x0 and said that was a line tangent to the graph at (x0 , y0 ). That vector is (1, 0, f1 (x0 , y0 )).
  • 19. Last time we differentiated the curve x → (x, y0 , f (x, y0 )) at x = x0 and said that was a line tangent to the graph at (x0 , y0 ). That vector is (1, 0, f1 (x0 , y0 )). So a line tangent to the graph is given by (x, y , z) = (x0 , y0 , z0 ) + t(1, 0, f1 (x0 , y0 ))
  • 20. There are two interesting curves going through the point P: x → (x, 1, f (x, 1)) y → (1, y , f (1, y )) Each of these is a one-variable function, so makes a curve, and has a slope! d d 2 − x2 = −2x|x=1 = −2. f (x, 1) = dx dx x=1 x−1 d d 3 − 2y 4 = −8y 3 = −8. f (1, y ) = y =1 dy dx y =1 y =1
  • 21. Last time we differentiated the curve x → (x, y0 , f (x, y0 )) at x = x0 and said that was a line tangent to the graph at (x0 , y0 ). That vector is (1, 0, f1 (x0 , y0 )). So a line tangent to the graph is given by (x, y , z) = (x0 , y0 , z0 ) + t(1, 0, f1 (x0 , y0 )) Another line is (x, y , z) = (x0 , y0 , z0 ) + t(0, 1, f2 (x0 , y0 ))
  • 22.
  • 23. There are two interesting curves going through the point P: x → (x, 1, f (x, 1)) y → (1, y , f (1, y )) Each of these is a one-variable function, so makes a curve, and has a slope! d d 2 − x2 = −2x|x=1 = −2. f (x, 1) = dx dx x=1 x−1 d d 3 − 2y 4 = −8y 3 = −8. f (1, y ) = y =1 dy dx y =1 y =1 We see that the tangent plane is spanned by these two vectors/slopes.
  • 24. Summary Let f a function of n variables differentiable at (a1 , a2 , . . . , an ). Then the line given by (x1 , x2 , . . . , xn ) = f (a1 , a2 , . . . , an )+t(0, . . . , 1 , . . . , 0, fi (a1 , a2 , . . . , an )) i is tangent to the graph of f at (a1 , a2 , . . . , an ).
  • 25.
  • 26. Example Find the equations of two lines tangent to z = xy 2 at the point (2, 1, 2).
  • 27.
  • 28. Outline Tangent Lines in one variable Tangent lines in two or more variables Tangent planes in two variables One more example
  • 29. Recall Definition A plane (in three-dimensional space) through a that is orthogonal to a vector p = 0 is the set of all points x satisfying p · (x − a) = 0.
  • 30. Recall Definition A plane (in three-dimensional space) through a that is orthogonal to a vector p = 0 is the set of all points x satisfying p · (x − a) = 0. Question Given a function and a point on the graph of the function, how do we find the equation of the tangent plane?
  • 31.
  • 32.
  • 33. Let p = (p1 , p2 , p3 ), a = (x0 , y0 , z0 = f (x0 , y0 )).
  • 34. Let p = (p1 , p2 , p3 ), a = (x0 , y0 , z0 = f (x0 , y0 )). Then p must satisfy p · (1, 0, f1 (x0 , y0 )) = 0 p · (0, 1, f2 (x0 , y0 )) = 0
  • 35.
  • 36. Let p = (p1 , p2 , p3 ), a = (x0 , y0 , z0 = f (x0 , y0 )). Then p must satisfy p · (1, 0, f1 (x0 , y0 )) = 0 p · (0, 1, f2 (x0 , y0 )) = 0 A solution is to let p1 = f1 (x0 , y0 ), p2 = f2 (x0 , y0 ), p3 = −1.
  • 37. Summary Fact (tangent planes in two variables) The tangent plane to z = f (x, y ) through (x0 , y0 , z0 = f (x0 , y0 )) has normal vector (f1 (x0 , y0 ), f2 (x0 , y0 ), −1) and equation f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) − (z − z0 ) = 0
  • 38. Summary Fact (tangent planes in two variables) The tangent plane to z = f (x, y ) through (x0 , y0 , z0 = f (x0 , y0 )) has normal vector (f1 (x0 , y0 ), f2 (x0 , y0 ), −1) and equation f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) − (z − z0 ) = 0 or z = f (x0 , y0 ) + f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 )
  • 39.
  • 40. Summary Fact (tangent planes in two variables) The tangent plane to z = f (x, y ) through (x0 , y0 , z0 = f (x0 , y0 )) has normal vector (f1 (x0 , y0 ), f2 (x0 , y0 ), −1) and equation f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) − (z − z0 ) = 0 or z = f (x0 , y0 ) + f1 (x0 , y0 )(x − x0 ) + f2 (x0 , y0 )(y − y0 ) This is the best linear approximation to f near (x0 , y0 ). is is the first-degree Taylor polynomial (in two variables) for f .
  • 41. Outline Tangent Lines in one variable Tangent lines in two or more variables Tangent planes in two variables One more example
  • 42. Example The number of units of output per day at a factory is −1/2 1 −2 9 x + y −2 P(x, y ) = 150 , 10 10 where x denotes capital investment (in units of $1000), and y denotes the total number of hours (in units of 10) the work force is employed per day. Suppose that currently, capital investment is $50,000 and the total number of working hours per day is 500. Estimate the change in output if capital investment is increased by $5000 and the number of working hours is decreased by 10 per day.
  • 43. Example The number of units of output per day at a factory is −1/2 1 −2 9 x + y −2 P(x, y ) = 150 , 10 10 where x denotes capital investment (in units of $1000), and y denotes the total number of hours (in units of 10) the work force is employed per day. Suppose that currently, capital investment is $50,000 and the total number of working hours per day is 500. Estimate the change in output if capital investment is increased by $5000 and the number of working hours is decreased by 10 per day.
  • 44. Solution −3/2 −2 ∂P 1 1 −2 9 x + y −2 x −3 (x, y ) = 150 − ∂x 2 10 10 10 −3/2 1 −2 9 x + y −2 x −3 = 15 10 10 ∂P (50, 50) = 50 ∂x
  • 45. Solution −3/2 −2 ∂P 1 1 −2 9 x + y −2 x −3 (x, y ) = 150 − ∂x 2 10 10 10 −3/2 1 −2 9 x + y −2 x −3 = 15 10 10 ∂P (50, 50) = 50 ∂x −3/2 ∂P 1 1 −2 9 9 x + y −2 (−2)y −3 (x, y ) = 150 − ∂y 2 10 10 10 −3/2 1 −2 9 x + y −2 x −3 = 15 10 10 ∂P (50, 50) = 135 ∂y So the linear approximation is L = 7500 + 15(x − 50) + 135(y − 50)
  • 46. Solution, continued So the linear approximation is L = 7500 + 15(x − 50) + 135(y − 50) If ∆x = 5 and ∆y = −1, then L = 7500 + 15 · 5 + 135 · (−1) = 7440
  • 47. Solution, continued So the linear approximation is L = 7500 + 15(x − 50) + 135(y − 50) If ∆x = 5 and ∆y = −1, then L = 7500 + 15 · 5 + 135 · (−1) = 7440 The actual value is P(55, 49) ≈ 7427 13 ≈ 1.75% So we are off by 7427
  • 48. Contour plot of P 100 80 60 40 20 0 0 20 40 60 80 100
  • 49. Contour plot of L 100 80 60 40 20 0 0 20 40 60 80 100
  • 50. Contour plots, superimposed 100 80 60 40 20 0 0 20 40 60 80 100
  • 51. Animation of P and its linear approximation at (50, 50)