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Khan Academy
Khan Academy: Linear Algebra: Change of Basis Matrix
A video lesson explaining how to change from coordinates with respect to a given basis to traditional Cartesian coordinates and vice versa by using a change of basis matrix. Includes concrete examples in R3. [17:55]
Khan Academy
Khan Academy: Linear Algebra: Defining the Angle Between Vectors
Video uses the vector triangle inequality and the law of cosines to demonstrate and prove the definition of the angle between vectors. Uses the definition of the angle between vectors to define perpendicular vectors. Shows that the dot...
Khan Academy
Khan Academy: Linear Algebra: Projections Onto Subspaces
A video lesson defining projections onto subspaces. Uses the definition for a projection onto a line and then shows that a generalized version of the formula works for a projection onto any subspace. Includes a concrete example and...
Khan Academy
Khan Academy: Linear Algebra: Point Distance to Plane
Video solving for the shortest distance between a point and a plane by building from the previous video where the normal vector to the plane is found. Distance is calculated by finding the dot product of the vector from the given point...
Khan Academy
Khan Academy: Linear Algebra: Invertible Change of Basis Matrix
A video lesson explaining how to convert between traditional Cartesian coordinates and coordinates with respect to a given basis by using an invertible change of basis matrix. Includes two concrete examples in R2. [13:34]
Khan Academy
Khan Academy: Linear Algebra: Linear Combination and Spans
Video explains what a linear combination is and gives a concrete example of a linear combination of two vectors in two dimensions. Linear combinations are then extended to introduce spans of vectors. Shows a proof that two non-parallel...
Khan Academy
Khan Academy: Linear Algebra: Dot and Cross Product Comparison/intuition
Video gives an intuition of what dot product and cross product represent. Also gives a comparison between cross product and dot product of vectors and how they are related. Shows which angles maximize the cross product and dot product....
Khan Academy
Khan Academy: Linear Algebra: Coordinates With Respect to a Basis
A video lesson showing that vectors in space can be defined by coordinates with respect to a basis. A concrete example is given for a vector in R2. Shows how the vector is defined in traditional Cartesian coordinates and then how it can...
Khan Academy
Khan Academy: Linear Algebra: Visualizing a Projection Onto a Plane
A video lesson showing what a projection onto a plane could look like. Illustrates that the newly derived definition of a projection holds true for projections onto subspaces other than lines. [9:27]
Khan Academy
Khan Academy: Linear Algebra: Matrices to Solve a Vector Combination Problem
Demonstrates how to find the appropriate combination of two given vectors in order to obtain a third given vector. This is done by representing the problem with a single matrix equation and solving that equation. [14:20]
Khan Academy
Khan Academy: Linear Algebra: Linear Combination and Spans
Video explains what a linear combination is and gives a concrete example of a linear combination of two vectors in two dimensions. Linear combinations are then extended to introduce spans of vectors. Shows a proof that two non-parallel...
Khan Academy
Khan Academy: Linear Combinations and Spans: Linear Combinations and Span
Video explains what a linear combination is and gives a concrete example of a linear combination of two vectors in two dimensions. Linear combinations are then extended to introduce spans of vectors.
Khan Academy
Khan Academy: Linear Algebra: Dot and Cross Product Comparison/intuition
Video gives an intuition of what dot product and cross product represent. Also gives a comparison between cross product and dot product of vectors and how they are related. Shows which angles maximize the cross product and dot product....
Khan Academy
Khan Academy: Dot and Cross Product Comparison/intuition
This video gives an intuition of what dot product and cross product represent. Also gives a comparison between cross product and dot product of vectors and how they are related.