Chapter 1 Topics in Analytic Geometry
Chapter 1 Topics in Analytic Geometry Chapter 1 Topics in Analytic Geometry
MA112 Section 750001: Prepared by Dr.Archara Pacheenburawana 46•P‖F‖FWork = ‖F‖‖ −→ PQ‖•Q•P‖F‖Fθ‖F‖cosθWork = (‖F‖cosθ)‖ −→ PQ‖•QExample 3.19 A force F = 8i + 5j in pound moves an object from P(1,0) to Q(7,1),distance measured in feet. How much work is done?Solution .........Example 3.20 A wagon is pulled horizontally by exerting a constant force of 10lb on thehandle at an angle of 60 ◦ with the horizontal. How much work is done in moving the wagon50 ft?Solution .........3.4 Cross ProductDeterminantsBefore we define the cross product, we need to define the notion of determinant.Definition 3.4 The determinant of a 2×2 matrix of real number is defined by∣ a ∣1 a 2∣∣∣= ab 1 b 1 b 2 −a 2 b 1 .2Definition 3.5 The determinant of a 3×3 matrix of real number is defined as a combinationof three 2×2 determinants, as follows:∣ a 1 a 2 a 3∣∣∣∣∣∣ ∣ ∣ ∣ ∣ ∣ ∣∣∣ b b 1 b 2 b 3 = a 2 b 3∣∣∣∣∣∣ b1 −a 1 b 3∣∣∣∣∣∣ b∣ cc 1 c 2 c 2 c 2 +a 1 b 2∣∣∣3 c 1 c 3 (3.14)3 c 1 c 23Note that Equation (3.14) is referred to as an expansion of the determinant alongthe first row.Cross ProductWe now turn to the main concept in this section.Definition 3.6 If u = 〈u 1 ,u 2 ,u 3 〉 and v = 〈v 1 ,v 2 ,v 3 〉 are vectors in 3-space, then thecross product u×v is the vector defined byu×v =∣ u ∣ 2 u 3∣∣∣i−v 2 v 3∣ u ∣ 1 u 3∣∣∣j+v 1 v 3∣ u ∣1 u 2∣∣∣k (3.15)v 1 v 2
MA112 Section 750001: Prepared by Dr.Archara Pacheenburawana 47or, equivalently,u×v = (u 2 v 3 −u 3 v 2 )i−(u 1 v 3 −u 3 v 1 )j+(u 1 v 2 −u 2 v 1 )k (3.16)Observe that the right side of Formula (3.15) can be written as∣ i j k ∣∣∣∣∣u×v =u 1 u 2 u 3(3.17)∣v 1 v 2 v 3Example 3.21 Let u = 〈1,2,3〉 and v = 〈4,5,6〉. Find (a) u×v and (b) v×u.Solution .........Algebraic Properties of the Cross Product• The cross product is defined only for vectors in 3-space, whereas the dot product isdefined for vectors in 2-space and 3-space.• The cross product of two vectors is a vector, whereas the dot product of two vectorsis a scalar.The main algebraic properties of the cross product are listed in the following theorem.Theorem 3.10 If u, v, and w are any vectors in 3-space and k is any scalar, then:(a) u×v = −(v ×u)(b) u×(v+w) = (u×v)+(u×w)(c) (u+v)×w = (u×w)+(v×w)(d) k(u×v) = (ku)×v = u×(kv)(e) u×0 = 0×u = 0(f) u×u = 0The following cross products occur so frequently that it is helpful to be familiar withthem:i×j = k j×k = i k×i = j(3.18)j×i = −k k×j = −i i×k = −jThese results are easy to obtain; for example,i j k∣ ∣ ∣ ∣∣∣i×j =1 0 0∣0 1 0∣ = 0 0∣∣∣ 1 0∣ i− 1 0∣∣∣ 0 0∣ j+ 1 00 1∣ kHowever, rather than computing these cross products each time you need them, you canuse the diagram in Figure below.
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MA112 Section 750001: Prepared by Dr.Archara Pacheenburawana 47or, equivalently,u×v = (u 2 v 3 −u 3 v 2 )i−(u 1 v 3 −u 3 v 1 )j+(u 1 v 2 −u 2 v 1 )k (3.16)Observe that the right side of Formula (3.15) can be written as∣ i j k ∣∣∣∣∣u×v =u 1 u 2 u 3(3.17)∣v 1 v 2 v 3Example 3.21 Let u = 〈1,2,3〉 and v = 〈4,5,6〉. F<strong>in</strong>d (a) u×v and (b) v×u.Solution .........Algebraic Properties of the Cross Product• The cross product is def<strong>in</strong>ed only for vectors <strong>in</strong> 3-space, whereas the dot product isdef<strong>in</strong>ed for vectors <strong>in</strong> 2-space and 3-space.• The cross product of two vectors is a vector, whereas the dot product of two vectorsis a scalar.The ma<strong>in</strong> algebraic properties of the cross product are listed <strong>in</strong> the follow<strong>in</strong>g theorem.Theorem 3.10 If u, v, and w are any vectors <strong>in</strong> 3-space and k is any scalar, then:(a) u×v = −(v ×u)(b) u×(v+w) = (u×v)+(u×w)(c) (u+v)×w = (u×w)+(v×w)(d) k(u×v) = (ku)×v = u×(kv)(e) u×0 = 0×u = 0(f) u×u = 0The follow<strong>in</strong>g cross products occur so frequently that it is helpful to be familiar withthem:i×j = k j×k = i k×i = j(3.18)j×i = −k k×j = −i i×k = −jThese results are easy to obta<strong>in</strong>; for example,i j k∣ ∣ ∣ ∣∣∣i×j =1 0 0∣0 1 0∣ = 0 0∣∣∣ 1 0∣ i− 1 0∣∣∣ 0 0∣ j+ 1 00 1∣ kHowever, rather than comput<strong>in</strong>g these cross products each time you need them, you canuse the diagram <strong>in</strong> Figure below.