An Engineering Approach to Linear Algebra

Preface; 1. Mathematics and engineers; 2. Mappings; 3. The nature of generalisation; 4. Symbolic conditions for linearity; 5. Graphical representation; 6. Vectors in a plane; 7. Bases; 8. Calculations in a vector space; 9. Change of axes; 10. Specification of a linear mapping; 11. Transformations; 12. Choice of basis; 13. Complex numbers; 14. Calculations with complex numbers; 15. Complex numbers and trigonometry; 16. Trigonometry and exponentials; 17. Complex numbers: terminology; 19. The logic of complex numbers; 20. The algebra of transformations; 21. Subtraction of transformations' 22. Matrix notation; 23. An application of matrix multiplication; 24. An application of linearity; 25. procedure for finding invariant lines, eigenvectors and eigenvalues; 26. Determinant and inverse; 27. Properties of determinants; 28. Matrices other than square; partitions; 29. Subscript and summation notation; 30. Row and column vectors; 31. Affine and Euclidean geometry; 32. Scalar products; 33. Transpose; quadratic forms; 34. Maximum and minimum principles; 35. Formal laws of matrix algebra; 36. Orthogonal transformations; 37. Finding the simplest expressions for quadratic forms; 38. Principal axes and eigenvectors; 39. Lines, planes and subspaces; vector product; 40. Null space, column space, row space of a matrix; 42. Illustrating the importance of orthogonal matrices; 43. Linear programming; 44. Linear programming, continued; Answers; Index.