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6.837 Linear Algebra Review Patrick Nichols Thursday, September 18, 2003 6.837 Linear Algebra Review
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],6.837 Linear Algebra Review
Additional Resources ,[object Object],[object Object],[object Object],[object Object],6.837 Linear Algebra Review
What is a Matrix? ,[object Object],6.837 Linear Algebra Review rows columns
Basic Operations ,[object Object],6.837 Linear Algebra Review Just add elements Just subtract elements Multiply each row by each column
Multiplication ,[object Object],[object Object],6.837 Linear Algebra Review
Vector Operations ,[object Object],[object Object],[object Object],6.837 Linear Algebra Review x y v
Vector Interpretation ,[object Object],[object Object],6.837 Linear Algebra Review V V’
Vectors: Dot Product ,[object Object],6.837 Linear Algebra Review A B A B C A+B = C (use the head-to-tail method to combine vectors)
Vectors: Dot Product 6.837 Linear Algebra Review Think of the dot product as a matrix multiplication The magnitude is the dot product of a vector with itself The dot product is also related to the angle between the two vectors – but it doesn’t tell us the angle
Vectors: Cross Product ,[object Object],[object Object],[object Object],6.837 Linear Algebra Review
Inverse of a Matrix ,[object Object],[object Object],[object Object],[object Object],6.837 Linear Algebra Review
Determinant of a Matrix ,[object Object],[object Object],[object Object],[object Object],6.837 Linear Algebra Review
Determinant of a Matrix 6.837 Linear Algebra Review Sum from left to right Subtract from right to left Note: N! terms
Inverse of a Matrix 6.837 Linear Algebra Review ,[object Object],[object Object],[object Object],[object Object]
Homogeneous Matrices ,[object Object],[object Object],6.837 Linear Algebra Review
Orthonormal Basis ,[object Object],[object Object],[object Object],[object Object],[object Object],6.837 Linear Algebra Review
Orthonormal Basis 6.837 Linear Algebra Review X, Y, Z  is an orthonormal basis.  We can describe any 3D point as a linear combination of these vectors. How do we express any point as a combination of a new basis  U, V, N , given  X, Y, Z ?
Orthonormal Basis 6.837 Linear Algebra Review (not an actual formula – just a way of thinking about it) To change a point from one coordinate system to another, compute the dot product of each coordinate row with each of the basis vectors.
Questions? ,[object Object],6.837 Linear Algebra Review

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Linear Algebra

  • 1. 6.837 Linear Algebra Review Patrick Nichols Thursday, September 18, 2003 6.837 Linear Algebra Review
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Vectors: Dot Product 6.837 Linear Algebra Review Think of the dot product as a matrix multiplication The magnitude is the dot product of a vector with itself The dot product is also related to the angle between the two vectors – but it doesn’t tell us the angle
  • 11.
  • 12.
  • 13.
  • 14. Determinant of a Matrix 6.837 Linear Algebra Review Sum from left to right Subtract from right to left Note: N! terms
  • 15.
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  • 18. Orthonormal Basis 6.837 Linear Algebra Review X, Y, Z is an orthonormal basis. We can describe any 3D point as a linear combination of these vectors. How do we express any point as a combination of a new basis U, V, N , given X, Y, Z ?
  • 19. Orthonormal Basis 6.837 Linear Algebra Review (not an actual formula – just a way of thinking about it) To change a point from one coordinate system to another, compute the dot product of each coordinate row with each of the basis vectors.
  • 20.