HP (Hewlett-Packard) 50g ユーザーズマニュアル

ページ / 887
Page 9-1
Chapter 9
Vectors
This Chapter provides examples of entering and operating with vectors, both 
mathematical vectors of many elements, as well as physical vectors of 2 and 3 
components.
Definitions
From a mathematical point of view, a vector is an array of 2 or more elements 
arranged into a row or a column. These will be referred to as row and column
vectors
.  Examples are shown below:
Physical vectors have two or three components and can be used to represent 
physical quantities such as position, velocity, acceleration, forces, moments, 
linear and angular momentum, angular velocity and acceleration, etc.  
Referring to a Cartesian coordinate system (x,y,z), there exists unit vectors ijk
associated with each coordinate direction, such that a physical vector A can be 
written in terms of its components A
x
, A
y
, A
z
, as A = A
x
i + A
y
j + A
z
k.
Alternative notation for this vector are: A = [A
x
, A
y
, A
z
], A = (A
x
, A
y
, A
z
), or A
= < A
x
, A
y
, A
z
 >.  A two dimensional version of this vector will be written as A
= A
x
i + A
y
jA = [A
x
, A
y
], A = (A
x
, A
y
), or A = < A
x
, A
y
 >.  Since in the 
calculator vectors are written between brackets [ ], we will choose the notation 
A = [A
x
, A
y
, A
z
] or A = [A
x
, A
y
, A
z
],  to refer to two- and three-dimensional 
vectors from now on.   The magnitude of a vector A is defined as |A| =
. A unit vector in the direction of vector A, is defined as e
A
 = 
A/|A|.  Vectors can be multiplied by a scalar, e.g., kA = [kA
x
, kA
y
, kA
z
].
Physically, the vector kA is parallel to vector A, if k>0, or anti-parallel to vector 
A, if k<0. The negative of a vector is defined as –A = (–1)A = [–A
x
, –A
y
, –A
z
].  
Division by as scalar can be interpreted as a multiplication, i.e., A/k = (1/k)
A.   
Addition and subtraction of vectors are defined as A
±B = [A
x
± B
x
, A
y
± B
y
, A
z
± B
y
], where B is the vector B = [B
x
, B
y
, B
z
]. 
There are two definitions of products of physical vectors, a scalar or internal 
product (the dot product) and a vector or external product (the cross product).   
The dot product produces a scalar value defined as A
B = |A||B|cos(θ), 
]
2
,
5
,
3
,
1
[
,
6
3
1
=
⎡−
=
u
v
2
2
2
z
y
x
A
A
A
+
+