Summary: Matrices, Graphs And Convexity

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Read the summary and the most important questions on Matrices, Graphs and Convexity

  • 1 Introduction Matrices

  • 1.1 Matrices and linear maps

    This is a preview. There are 6 more flashcards available for chapter 1.1
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  • In C=AB, then cij is horizontal times vertical or the other way around?

    Sumproduct of horizontal times vertical
  • What is the characteristic of a permutation matrix?

    Every row and every column has all zero entries except for one entry which is 1.
  • What is another term for regular? (matrices)

    non-singular
  • If det(A) ≠ 0, what holds about the singularity?

    det(A) ≠ 0 ⇔ A is regular (non-singular)
  • What is the intuition behind a surjective map?

    That x maps to y, that is, all values in the set of possible outcomes can be reached from the domain.
  • What two conditions must hold in order to call map f linear?

    1. f(x+y) = f(x) + f(y)
    2. f(δx) = δ f(x)
  • For every linear map there exists a matrix which resembles that mapping; what property of that matrix says something about the bijectiveness of the mapping?

    The map f is bijective if and only if the corresponding matrix is regular
  • What is the kernel of a matrix A?

    All values that multiplied by A result in all zeros
  • What is the image of A?

    The collection of all possible resulting vectors of multiplication by A
  • 1.2 Special matrices

    This is a preview. There are 7 more flashcards available for chapter 1.2
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  • When is matrix A positive definite? (mathematical)

    xTAx > 0 for all x∈Rn\{0}
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