Difference between revisions of "ModelCourses/Calculus/Vectors/Vectors in Space"

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* Vector Algebra
 
* Vector Algebra
 
** The right-handed coordinate system, three axes, three coordinate planes and eight octants
 
** The right-handed coordinate system, three axes, three coordinate planes and eight octants
*** Sketching a point in space
+
*** Sketch a point in space.
*** Sketching a line that passes through a given point and is parallel to an axis
+
*** Sketch a line that passes through a given point and is parallel to an axis.
*** Sketching a plane that contains a point and is parallel to a given
+
*** Sketch a plane that contains a point and is parallel to a coordinate plane.
** Expressing a vector from Point A to Point B in vector notation
+
*** Sketch a plane that contains a point and is perpendicular to an axis.
*** Sketching a position vector
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*** Express a vector from Point A to Point B in vector notation.
  +
*** Sketch a position vector.
  +
 
** Vector algebra: (1) scalar multiplication; (2) vector addition and subtraction
 
** Vector algebra: (1) scalar multiplication; (2) vector addition and subtraction
*** Computing and sketching a scalar times a vector and a sum (difference) of two vectors
+
*** Compute and sketching a scalar times a vector and a sum (difference) of two vectors.
  +
 
** Triangle inequality
 
** Triangle inequality
   

Revision as of 17:26, 23 December 2011

Vectors in Space

  • Vector Algebra
    • The right-handed coordinate system, three axes, three coordinate planes and eight octants
      • Sketch a point in space.
      • Sketch a line that passes through a given point and is parallel to an axis.
      • Sketch a plane that contains a point and is parallel to a coordinate plane.
      • Sketch a plane that contains a point and is perpendicular to an axis.
      • Express a vector from Point A to Point B in vector notation.
      • Sketch a position vector.
    • Vector algebra: (1) scalar multiplication; (2) vector addition and subtraction
      • Compute and sketching a scalar times a vector and a sum (difference) of two vectors.
    • Triangle inequality
  • The Dot Product of Two Vectors and Applications
    • Two definitions of dot product of two vectors
    • Angle of two vectors
      • Computing the dot product of two vectors
      • Computing the angle between two vectors
      • Determining if two vectors are parallel or orthogonal (perpendicular) when cosine of the angle is 1, -1, or 0
      • Determining if the angle of two vectors is acute, or obtuse when the dot product of two vectors is positive or negative
      • Given a vector u, create a vector that is parallel to u
      • Given a vector u, create a vector that is orthogonal to u
      • Given a vector u and an angle theta, create a vector v such that the angle of u and v is theta
    • Projection of vector u onto vector v
      • Work done by a force vector along a direction vector
  • The Cross Product of Two Vectors in Space and Applications
    • Computation of the cross product of two vectors
    • The cross product of vectors u and v is orthogonal (perpendicular) to u and v
      • Given two vectors u and v that are not parallel, find a vector which is orthogonal to both u and v
      • Given two vectors, determine a vector which is normal

Download the set definition file for this problem set

ModelCourses/Multivariate Calculus