M408M Learning Module Pages
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Chapter 10: Parametric Equations
and Polar Coordinates
Chapter 12: Vectors and the Geometry of Space
Learning module LM 12.1:
3-dimensional rectangular coordinates:
Learning module LM 12.2: Vectors:
Learning module LM 12.3: Dot products:
Learning module LM 12.4: Cross products:
Areas in the plane
Definition
Computing cross products
Applications
Learning module LM 12.5: Equations of Lines and Planes:
Learning module LM 12.6: Surfaces:
Chapter 13: Vector Functions
Chapter 14: Partial Derivatives
Chapter 15: Multiple Integrals
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Definition of cross product
Cross Products p2
Cross Product: We now want 'multiplication' of vectors to
produce a vector, ${\bf u}\times {\bf v}$, and not a scalar. Such a vector
product occurs many times in geometry as well as in engineering and
physics.
To do that, we need matrices and determinants.
A $2 \times 2$ matrix is an array
$$\left [\begin{array}{cc} a & b \\ c & d \end{array}\right ]\,,$$
where the entries $a,\, b, \,c$, and $d$ are scalars.
Similarly, a $3 \times 3$ matrix is an array
$$\left [\begin{array}{ccc} a_{11} & a_{12} & a_{13}\\
a_{21} & a_{22} & a_{23}\\
a_{31} & a_{32} & a_{33} \end{array}\right ]\,,$$
where the entries have been conveniently indexed to indicate the row and column they belong to. The
determinant of a $2 \times 2$ matrix is given by
$$\left |\begin{array}{cc} a & b \\ c & d \end{array}\right |
\ =\ ad\,-\,bc\,,$$
while the determinant of a $3 \times 3$ matrix is
$$\left|\begin{array}{ccc} X & Y & Z \\ a_1 & a_2 & a_3 \\ b_1 & b_2 & b_3 \end{array}\right|
\ = \ X \left|\begin{array}{cc} a_2 & a_3 \\ b_2 & b_3 \end{array}\right|
- Y \left|\begin{array}{cc} a_1 & a_3 \\ b_1 & b_3 \end{array}\right|
+ Z \left|\begin{array}{cc} a_1 & a_2 \\ b_1 & b_2 \end{array}\right| \qquad\qquad $$
$$\qquad \qquad = \ X(a_2b_3 - b_2a_3) - Y(a_1b_3 - b_1a_3) + Z(a_1b_2 - b_1a_2)\,,$$
the entries being labeled simply to emphasize how they get combined and multiplied.
Because a vector has direction, a convention has to be
adopted when defining the 'vector' product of two vectors. If ${\bf
a}$, ${\bf b}$ are vectors arranged so that they have the same tail,
then vectors $\{{\bf a},\, {\bf b},\, {\bf c}\}$ are said to form a
right-handed system when ${\bf c}$ is perpendicular to the
plane containing ${\bf a}$, ${\bf b}$ and points in the direction
shown to the right.
Since there could be two directions for ${\bf c}$ to point and still
be perpendicular to the plane containing ${\bf a}$ and ${\bf b}$, the
right hand rule specifies which direction we'll
choose. If you point your right hand along ${\bf a}$ and curl
your fingers so they point along ${\bf b}$ then your extended thumb should
be pointing along ${\bf c}$.
Notice that $\{{\bf i},\, {\bf j},\, {\bf k}\}$ is a
right-handed system.
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Question: For a right-handed system $\{{\bf a},\, {\bf b},\, {\bf c}\}$,
(i) Is $\{{\bf b},\, {\bf a},\, {\bf c}\}$ a right-handed system?
(ii) Is $\{{\bf b},\, {\bf a},\, -{\bf c}\}$ a right-handed system?
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Answers: Switching ${\bf a},\,{\bf b}$ reverses the
direction of ${\bf c}$, so
(i) NO, $\ \{{\bf b},\, {\bf a},\, {\bf c}\}$ is not right-handed
(ii) YES, $\ \{{\bf b},\, {\bf a},\, -{\bf c}\}$ is right-handed. $\quad $
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Definition: The Cross Product, ${\bf u} \times {\bf v}$, of vectors $\bf u$ and $\bf v$ is the vector defined by
$${\bf u} \times {\bf v}\ = \ (\|{\bf u}\|\|{\bf v}\| \sin \theta){\bf n}$$
where $ \theta $ is the angle between $\bf u$ and $\bf v$, and ${\bf n}$ is the unit vector perpendicular to ${\bf u}$ and ${\bf v}$
such that $\{{\bf u},\, {\bf v},\, {\bf n}\}$ forms a right-handed system. Since $\sin 0\,=\, \sin \pi \,=\, 0$, vectors ${\bf u}, \, {\bf v}$ are parallel when ${\bf u}\times {\bf v} \ = \ 0$ and ${\bf u},\, {\bf v} \, \ne\,0$.
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Note that the cross product of two vectors is a vector. The
magnitude of ${\bf u} \times {\bf v}$ is $\|{\bf u}\| \|{\bf v}\|
\sin(\theta)$, and the direction of ${\bf u} \times {\bf v}$ is
${\bf n}$.
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