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whaat is LULU decomposition of a matrix

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Q. whaat is LULU decomposition of a matrix
  1. Pick Matrix: First, we gotta pick a matrix to decompose. Let's say we have a 2×22 \times 2 matrix AA:A=[ab cd]A = \left[\begin{array}{cc}a & b \ c & d\end{array}\right]
  2. Decompose Matrix: Now, we're gonna write AA as the product of a lower triangular matrix LL and an upper triangular matrix UU. So, A=LUA = LU
  3. Lower Triangular Matrix: LL is gonna look like this:\newlineL=[10 x1]L = \left[\begin{array}{cc} 1 & 0 \ x & 1 \end{array}\right]\newline'Cause the diagonal of LL is always 11s.
  4. Upper Triangular Matrix: And UU is like: U=[yz 0w]U = \left[\begin{array}{cc} y & z \ 0 & w \end{array}\right] Upper triangular means zeros below the diagonal.
  5. Multiply L and U: We multiply L and U to get A back: [10 x1][yz 0w]=[ab cd]\begin{bmatrix} 1 & 0 \ x & 1 \end{bmatrix} * \begin{bmatrix} y & z \ 0 & w \end{bmatrix} = \begin{bmatrix} a & b \ c & d \end{bmatrix}
  6. Solve Equations: Do the multiplication:\newline\left[\begin{array}{cc}\(\newline1y + 0\cdot 0 & 1z + 0w (\newline\)xy + 1\cdot 0 & xz + 1w\newline\end{array}\right] = \left[\begin{array}{cc}\newlinea & b (\newline\)c & d\newline\end{array}\right]\)
  7. Plug in Values: This gives us the equations:\newliney=ay = a\newlinez=bz = b\newlinexy=cx*y = c\newlinexz+w=dx*z + w = d
  8. Final L and U Matrices: Solve for yy, zz, xx, and ww:y=ay = az=bz = bx=cyx = \frac{c}{y}w=dxzw = d - x \cdot z
  9. Final L and U Matrices: Solve for yy, zz, xx, and ww:
    y=ay = a
    z=bz = b
    x=cyx = \frac{c}{y}
    w=dxzw = d - x \cdot zPlug in the values:
    y=ay = a
    z=bz = b
    zz00
    zz11
  10. Final L and U Matrices: Solve for yy, zz, xx, and ww:y=ay = az=bz = bx=cyx = \frac{c}{y}w=dxzw = d - x \cdot zPlug in the values:y=ay = az=bz = bx=cax = \frac{c}{a}w=d(ca)bw = d - \left(\frac{c}{a}\right) \cdot bSo our L and U matrices are:L=[10 ca1]L = \begin{bmatrix}1 & 0\ \frac{c}{a} & 1\end{bmatrix}U=[ab 0d(ca)b]U = \begin{bmatrix}a & b\ 0 & d - \left(\frac{c}{a}\right)\cdot b\end{bmatrix}

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