Multivariate Calculus - Bruce E. Shapiro
Multivariate Calculus - Bruce E. Shapiro Multivariate Calculus - Bruce E. Shapiro
28 LECTURE 3. THE CROSS PRODUCT Example 3.6 Find the equation of the plane through (2, −3, 2) and parallel to the plane containing the vectors v = 4i + 3j − k, w = 2i − 5j + 6k. Solution.The normal to the desired plane will also be perpendicular to the plane containing v and w. Since the cross product of any two vectors is by definition perpendicular to the plane containing both vectors, then one such normal vector is i j k n = v × w = 4 3 −1 ∣2 −5 6 ∣ = i ∣ 3 −1 ∣ ∣ ∣∣∣ −5 6 ∣ − j 4 −1 ∣∣∣ 2 6 ∣ + k 4 3 2 −5∣ = 13i − 26j − 26k Since a point on the plane is (2,-3,2), the equation of the plane is n · (x, y, z) = n · P (13, −26, −26) · (x, y, z) = (13, −26, −26) · (2, −3, 2) 13x − 26y − 26z = 52 Dividing the last equation through by 13 gives x − 2y − 2z = 4 as the equation of the desired plane. Revised December 6, 2006. Math 250, Fall 2006
Lecture 4 Lines and Curves in 3D We can parameterize a curve in three dimensions in the same way that we did in two dimensions, associating a function with each of the three coordinates, x = f(t), y = g(t), z = h(t) (4.1) where t is allowed to vary over some interval that we will call I. It is useful to envision yourself as moving along the curve from one end to the other. At any time t, you are at a point (x, y, z) on the curve. We think of the parameter t as time and then x = f(t) is your x-coordinate at time t y = g(t)is your y-coordinate at time t z = h(t) is your z-coordinate at time t. Figure 4.1: A path can be parameterized by its coordinates. We define our position vector r(t) at any time t as the vector pointing from the origin to our position (x, y, z) at the time t. This vector is then a function of t and is given by r(t) = (x(t), y(t), z(t)) = f(t)i + g(t)j + h(t)k (4.2) Suppose that we walk along a straight line, as illustrated in figure 4.3, starting at the point P 0 , at a time t = 0, and arrive at the point P at time t, moving with a 29
- Page 1 and 2: Multivariate Calculus in 25 Easy Le
- Page 3 and 4: Contents 1 Cartesian Coordinates 1
- Page 5 and 6: Preface: A note to the Student Thes
- Page 7 and 8: CONTENTS v The order in which the m
- Page 9 and 10: Examples of Typical Symbols Used Sy
- Page 11 and 12: CONTENTS ix Table 1: Symbols Used i
- Page 13 and 14: Lecture 1 Cartesian Coordinates We
- Page 15 and 16: LECTURE 1. CARTESIAN COORDINATES 3
- Page 17 and 18: LECTURE 1. CARTESIAN COORDINATES 5
- Page 19 and 20: LECTURE 1. CARTESIAN COORDINATES 7
- Page 21 and 22: Lecture 2 Vectors in 3D Properties
- Page 23 and 24: LECTURE 2. VECTORS IN 3D 11 Figure
- Page 25 and 26: LECTURE 2. VECTORS IN 3D 13 Definit
- Page 27 and 28: LECTURE 2. VECTORS IN 3D 15 Hence u
- Page 29 and 30: LECTURE 2. VECTORS IN 3D 17 and the
- Page 31 and 32: LECTURE 2. VECTORS IN 3D 19 The Equ
- Page 33 and 34: Lecture 3 The Cross Product Definit
- Page 35 and 36: LECTURE 3. THE CROSS PRODUCT 23 Pro
- Page 37 and 38: LECTURE 3. THE CROSS PRODUCT 25 Exa
- Page 39: LECTURE 3. THE CROSS PRODUCT 27 5.
- Page 43 and 44: LECTURE 4. LINES AND CURVES IN 3D 3
- Page 45 and 46: LECTURE 4. LINES AND CURVES IN 3D 3
- Page 47 and 48: LECTURE 4. LINES AND CURVES IN 3D 3
- Page 49 and 50: Lecture 5 Velocity, Acceleration, a
- Page 51 and 52: LECTURE 5. VELOCITY, ACCELERATION,
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- Page 55 and 56: LECTURE 5. VELOCITY, ACCELERATION,
- Page 57 and 58: Lecture 6 Surfaces in 3D The text f
- Page 59 and 60: Lecture 7 Cylindrical and Spherical
- Page 61 and 62: LECTURE 7. CYLINDRICAL AND SPHERICA
- Page 63 and 64: Lecture 8 Functions of Two Variable
- Page 65 and 66: LECTURE 8. FUNCTIONS OF TWO VARIABL
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- Page 71 and 72: Lecture 9 The Partial Derivative De
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- Page 81 and 82: LECTURE 10. LIMITS AND CONTINUITY 6
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- Page 85 and 86: Lecture 11 Gradients and the Direct
- Page 87 and 88: LECTURE 11. GRADIENTS AND THE DIREC
- Page 89 and 90: LECTURE 11. GRADIENTS AND THE DIREC
Lecture 4<br />
Lines and Curves in 3D<br />
We can parameterize a curve in three dimensions in the same way that we did in<br />
two dimensions, associating a function with each of the three coordinates,<br />
x = f(t), y = g(t), z = h(t) (4.1)<br />
where t is allowed to vary over some interval that we will call I. It is useful to<br />
envision yourself as moving along the curve from one end to the other. At any time<br />
t, you are at a point (x, y, z) on the curve. We think of the parameter t as time and<br />
then<br />
x = f(t) is your x-coordinate at time t<br />
y = g(t)is your y-coordinate at time t<br />
z = h(t) is your z-coordinate at time t.<br />
Figure 4.1: A path can be parameterized by its coordinates.<br />
We define our position vector r(t) at any time t as the vector pointing from<br />
the origin to our position (x, y, z) at the time t. This vector is then a function of t<br />
and is given by<br />
r(t) = (x(t), y(t), z(t)) = f(t)i + g(t)j + h(t)k (4.2)<br />
Suppose that we walk along a straight line, as illustrated in figure 4.3, starting at<br />
the point P 0 , at a time t = 0, and arrive at the point P at time t, moving with a<br />
29