Difference between revisions of "ModelCourses/Calculus/Vectors/Vectors in Space"
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** Sketching a position vector |
** Sketching a position vector |
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** Vector algebra: (1) scalar multiplication; (2) vector addition and substraction |
** Vector algebra: (1) scalar multiplication; (2) vector addition and substraction |
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| − | ** |
+ | ** Magnitude and 2-norm of a vector, unit vector |
| − | ** |
+ | ** Triangle inequality |
* The Dot Product of Two Vectors |
* The Dot Product of Two Vectors |
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| − | ** Calculating the standard collection of numerical examples |
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| + | ** Two definitions of dot product of two vectors |
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| + | *** Calculating the standard collection of numerical examples |
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** Parallel and geometric implications |
** Parallel and geometric implications |
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*** Given a particular vector, create other parallel vectors of desired length |
*** Given a particular vector, create other parallel vectors of desired length |
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*** Given one vector and an angle, determine another other vector with the desired angle. Maybe give part of the second vector. |
*** Given one vector and an angle, determine another other vector with the desired angle. Maybe give part of the second vector. |
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*** Given one 2d vector, determine another vector which is orthogonal |
*** Given one 2d vector, determine another vector which is orthogonal |
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| + | |||
* The Cross Product of Two Vectors in Space |
* The Cross Product of Two Vectors in Space |
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** Calculating the standard collection of numerical examples |
** Calculating the standard collection of numerical examples |
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Revision as of 17:42, 21 December 2011
Vectors in Space
- Vector Algebra
- Expressing a vector from Point A to Point B in vector notation
- Sketching a position vector
- Vector algebra: (1) scalar multiplication; (2) vector addition and substraction
- Magnitude and 2-norm of a vector, unit vector
- Triangle inequality
- The Dot Product of Two Vectors
- Two definitions of dot product of two vectors
- Calculating the standard collection of numerical examples
- Parallel and geometric implications
- Given a particular vector, create other parallel vectors of desired length
- Angle between vectors, orthogonality and cos(theta)
- Given two vectors, determine the angle between
- Given one vector and an angle, determine another other vector with the desired angle. Maybe give part of the second vector.
- Given one 2d vector, determine another vector which is orthogonal
- Two definitions of dot product of two vectors
- The Cross Product of Two Vectors in Space
- Calculating the standard collection of numerical examples
- Orthogonality
- Given a vector, determine another vector which is orthogonal
- Orthogonality between three vectors
- Given two vectors, determine a vector which is normal
