• **Scalar product**. The scalar product between two vectors **A** and
**B** is defined as

It can be shown that the scalar product as defined above,
is equal to the product of the

magnitudes of the two vectors and the direction cosine between them:

In order to show that the scalar product behaves like a
scalar, we must thus show that the

scalar product between **A** and **B** is the same as the scalar product between
**A**’ and
**B**’.

The scalar product also satisfies the **commutative** and the** distributive** laws:

•** Vector product. **The vector product between two vectors
**A **and **B** is a third vector **C**,

defined as

In order to show that the vector product behaves like a
vector, we must show that the

vector product transforms like a vector under a coordinate transformation.

The geometrical interpretation of the vector product is shown in Figure 3. The
magnitude

of the vector product is the area of the parallelogram defined by the vectors **A**
and **B** and

it is directed in a direction perpendicular to the plane defined by the vectors
**A** and **B**

(right-hand rule defines the direction).

There are many properties of the vector product. Some of them are listed here
(see the

text book for a more complete listing):

**Figure 3. Properties of the vector product between the
vectors A and B.
Differentiation and Integration**

Two important operations on both scalars and vectors are differentiation and integration.

These operations are used to define important mechanical quantities (such as velocity and

acceleration), and a thorough understanding of operations involving differentiation and

integration is required in order to succeed in this course.

•

variable s.

o The result of the differentiation of a scalar with respect to another scalar variable will

be another scalar. The result of the differentiation will be independent of the

coordinate system.

o The result of the differentiation of a vector function with respect to a scalar variable

will be another vector. The resulting vector will be directed tangential to the curve

that represents the function.

•

used in differentiations is the time t. Based on the position vector, we can obtain the

velocity and acceleration vectors by differentiating the position vectors once and twice,

respectively, with respect to time. If the Cartesian coordinates are being used, the axes

are independent of time, and differentiation the position vector with respect to time is

equivalent to differentiating the individual components with respect to time:

The situation is more complicated if we are using
spherical or cylindrical coordinates.

Consider for example the motion of an object shown in Figure 4.

**Figure 4. Motion of an object described in terms of
spherical coordinates.
**

When the object moves during a time dt from P(1) to P(2), the spherical unit vectors

change too, as shown in Figure 4:

Based on the definition of the unit vectors in the
spherical coordinate systems we can

conclude:

By dividing each side by dt we obtain the following relations:

Using these relations we can calculate the velocity and acceleration:

Other relations for spherical and cylindrical coordinates
can be found in the textbook.

• **Vector Differential Operator.** A very important operator in this course will be
the

gradient operator. It operates on a scalar function and the result of the
operation is a

vector. Consider a scalar function Ø that is a function of the Cartesian
coordinates. The

value of the scalar function at a point P in two different coordinate systems
must be the

same:

The coordinates in the two different coordinate systems
are connected to each other via a

rotation matrix:

When we differentiate the scalar function we find the following relation:

As we can see, the components of the differential of the
scalar function transform like a

vector, and the components can thus be considered the components of a vector we
call the

**gradient **of a scalar function:

Other important operators are defined in terms of the gradient operator:

The gradient of a scalar function has the following
properties:

o The gradient of a scalar function at a point P is directed normal to the lines
or

surfaces for which the scalar function is constant.

o The gradient of a scalar function at a point P is directed in the direction of
maximum

change in the scalar function.

• **Integration.** The opposite of differentiation is integration. Both scalar and
vector

functions can be integrated, and we can encounter volume, surface, and line
integration:

o **Volume integration of a vector.** When we integrate a vector over a volume, the

result is another vector with components obtained by volume integration of the

components of the original vector.

o **Surface integration of a vector.** The surface integral of
a vector function is given by

the integral of its component perpendicular to the surface. When we integrate a

vector over a surface, the result is a scalar.

o** Line integration of a vector.** The line integration of a
vector is given by the integral

of the component of the vector along the path (does not need to be a straight
line).

Various theorems relate volume, surface, line integrals of
vectors. Some of the most

important theorems are:

o **Gauss’s theorem for volume integrals:**

Note: the surface integral of a vector function is
replaced by the volume integral of a

scalar function.

o **Stoke’s theorem for line integrals:**

Stoke’s theorem is most useful if it reducing a
two-dimensional surface integral to a one-dimensional

line integral.