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by peach1227 2024. 4. 30.
  1. A = ( 3 1 1 2 )

    Eigenvectors for the matrix A :

    • v = ( 0.618 1 ) , eigenvalue λ 1 = 1.38
    • v = ( 1.62 1 ) , eigenvalue λ 2 = 3.62
    Details
    1. From the definition of the eigenvector v corresponding to the eigenvalue λ we have A v = λ v
      Then: A v λ v = ( A λ I ) v = 0
      Equation has a nonzero solution if and only if det ( A λ I ) = 0
      det ( A λ I ) = | 3 λ 1 1 2 λ | = λ 2 5 λ + 5 = (?) ( λ + 1.38 ) ( λ 3.62 ) = 0
      Details
      1. λ 1 = 1.38
      2. λ 2 = 3.62
    2. For every λ we find its own vectors:
      1. λ 1 = 1.38
        A λ 1 I = ( 1.62 1 1 0.618 )
        A v = λ v *
        ( A λ I ) v = 0
        So we have a homogeneous system of linear equations, we solve it by Gaussian Elimination:
        ( 1.62 1 0 1 0.618 0 )
        × ( 0.618 )
        ~ R 1 ( 1.62 ) R 1 ? ( 1 0.618 0 1 0.618 0 )
        × ( 1 )
        ~ R 2 1 R 1 R 2 ? ( 1 0.618 0 0 0 0 )
        • Find the variable x 1 from the equation 1 of the system (1) :
          x 1 = 0.618 x 2
        Answer:
        • x 1 = 0.618 x 2
        • x 2 = x 2
        General Solution : X = ( 0.618 x 2 x 2 )
        The solution set: { x 2 ( 0.618 1 ) }
        Let x 2 = 1 , v 1 = ( 0.618 1 )
      2. λ 2 = 3.62
        A λ 2 I = ( 0.618 1 1 1.62 )
        A v = λ v *
        ( A λ I ) v = 0
        So we have a homogeneous system of linear equations, we solve it by Gaussian Elimination:
        ( 0.618 1 0 1 1.62 0 )
        × ( 1.62 )
        ~ R 1 ( 0.618 ) R 1 ? ( 1 1.62 0 1 1.62 0 )
        × ( 1 )
        ~ R 2 1 R 1 R 2 ? ( 1 1.62 0 0 0 0 )
        • Find the variable x 1 from the equation 1 of the system (1) :
          x 1 = 1.62 x 2
        Answer:
        • x 1 = 1.62 x 2
        • x 2 = x 2
        General Solution : X = ( 1.62 x 2 x 2 )
        The solution set: { x 2 ( 1.62 1 ) }
        Let x 2 = 1 , v 2 = ( 1.62 1 )
  2. A = ( 3 1 1 2 )

    Eigenvectors for the matrix A :

    • v = ( 5 + 1 2 1 ) , eigenvalue λ 1 = 5 + 5 2
    • v = ( 5 + 1 2 1 ) , eigenvalue λ 2 = 5 + 5 2
    Details
    1. From the definition of the eigenvector v corresponding to the eigenvalue λ we have A v = λ v
      Then: A v λ v = ( A λ I ) v = 0
      Equation has a nonzero solution if and only if det ( A λ I ) = 0
      det ( A λ I ) = | 3 λ 1 1 2 λ | = λ 2 5 λ + 5 = (?) ( λ + 5 5 2 ) ( λ 5 + 5 2 ) = 0
      Details
      1. λ 1 = 5 + 5 2
      2. λ 2 = 5 + 5 2
    2. For every λ we find its own vectors:
      1. λ 1 = 5 + 5 2
        A λ 1 I = ( 5 + 1 2 1 1 5 1 2 )
        A v = λ v *
        ( A λ I ) v = 0
        So we have a homogeneous system of linear equations, we solve it by Gaussian Elimination:
        ( 5 + 1 2 1 0 1 5 1 2 0 )
        × ( 5 1 2 )
        ~ R 1 ( 5 + 1 2 ) R 1 ? ( 1 5 1 2 0 1 5 1 2 0 )
        × ( 1 )
        ~ R 2 1 R 1 R 2 ? ( 1 5 1 2 0 0 0 0 )
        • Find the variable x 1 from the equation 1 of the system (1) :
          x 1 = 5 + 1 2 x 2
        Answer:
        • x 1 = 5 + 1 2 x 2
        • x 2 = x 2
        General Solution : X = ( 5 + 1 2 x 2 x 2 )
        The solution set: { x 2 ( 5 + 1 2 1 ) }
        Let x 2 = 1 , v 1 = ( 5 + 1 2 1 )
      2. λ 2 = 5 + 5 2
        A λ 2 I = ( 5 + 1 2 1 1 5 1 2 )
        A v = λ v *
        ( A λ I ) v = 0
        So we have a homogeneous system of linear equations, we solve it by Gaussian Elimination:
        ( 5 + 1 2 1 0 1 5 1 2 0 )
        × ( 5 1 2 )
        ~ R 1 ( 5 + 1 2 ) R 1 ? ( 1 5 1 2 0 1 5 1 2 0 )
        × ( 1 )
        ~ R 2 1 R 1 R 2 ? ( 1 5 1 2 0 0 0 0 )
        • Find the variable x 1 from the equation 1 of the system (1) :
          x 1 = 5 + 1 2 x 2
        Answer:
        • x 1 = 5 + 1 2 x 2
        • x 2 = x 2
        General Solution : X = ( 5 + 1 2 x 2 x 2 )
        The solution set: { x 2 ( 5 + 1 2 1 ) }
        Let x 2 = 1 , v 2 = ( 5 + 1 2 1 )
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