Difference between revisions of "Forest UCM NLM"
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:<math>\vec{c}</math> is <math>\perp</math> to <math>\vec{a}</math> and <math>\vec{b}</math> | :<math>\vec{c}</math> is <math>\perp</math> to <math>\vec{a}</math> and <math>\vec{b}</math> | ||
:the right hand rule convention is used to determine the direction of <math>\vec{c}</math> | :the right hand rule convention is used to determine the direction of <math>\vec{c}</math> | ||
+ | |||
+ | ===Distributive property of the vector product=== | ||
+ | |||
+ | <math>\vec{a} \cdot \left ( \vec{b} + \vec{c} \right ) = \vec{a} \cdot \vec{b} + \vec{a} \cdot \vec{c}</math> | ||
+ | |||
A third vector product is the tensor direct product. | A third vector product is the tensor direct product. |
Revision as of 02:11, 7 August 2014
Newton's Laws of Motion
Limits of Classical Mechanic
Classical Mechanics is the formulations of physics developed by Newton (1642-1727), Lagrange(1736-1813), and Hamilton(1805-1865).
It may be used to describe the motion of objects which are not moving at high speeds (0.1
) nor are microscopically small ( ).The laws are formulated in terms of space, time, mass, and force:
Vectors
Vector Notation
A vector is a mathematical construct of ordered elements that represent magnitude and direction simultaneously.
Vectors satisfy the commutative (order of addition doesn't matter) and associative ( doesn't matter which you add first) properties.
The multiplication of two vectors is not uniquely defined. At least three types of vector products may be defined.
Scalar ( Dot ) product
Commutative property of scalar product
- proof
definition of dot product | |
comutative property of multiplication | |
definition of dot product |
Distributive property of scalar product
Vector ( Cross ) product
The vector product of
and is a third vector with the following properties.- is to and
- the right hand rule convention is used to determine the direction of
Distributive property of the vector product
A third vector product is the tensor direct product.
Space and Time
Space
Cartesian, Spherical, and Cylindrical coordinate systems are commonly used to describe three-dimensional space.