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DiagonalMatrix

DiagonalMatrix[list]
gives a matrix with the elements of list on the leading diagonal, and elsewhere.
DiagonalMatrix
gives a matrix with the elements of list on the k^(th) diagonal.
DiagonalMatrix
pads with s to create an n×n matrix.
  • DiagonalMatrix fills the k^(th) diagonal of a square matrix with the elements from list. Different values of k lead to different matrix dimensions.
  • DiagonalMatrix always creates an n×n matrix, even if this requires dropping elements of list. »
Construct a diagonal matrix:
A superdiagonal matrix:
A subdiagonal matrix:
Construct a diagonal matrix:
In[1]:=
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Out[1]//MatrixForm=
A superdiagonal matrix:
In[2]:=
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Out[2]//MatrixForm=
A subdiagonal matrix:
In[3]:=
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Out[3]//MatrixForm=
The elements in DiagonalMatrix are chosen to match the elements of the vector:
Exact number entries:
Machine-number entries:
Arbitrary-precision number entries:
When the vector is a SparseArray object, DiagonalMatrix will give a SparseArray object:
Pad with zeros to make a larger square matrix:
Make a square matrix with the specified dimension:
Rectangular diagonal matrices:
Express a matrix as the sum of its diagonal and off-diagonal parts:
Verify the similarity of a matrix to the diagonal matrix of its eigenvalues:
Define a Jordan matrix:
Construct a 5×5 tridiagonal matrix:
This can also be done using Band:
IdentityMatrix is a special case of DiagonalMatrix:
Several simple properties hold for diagonal matrices:
Det and Tr have commuting relations:
Diagonal of DiagonalMatrix gives the original vector:
This is true even if the vector is a SparseArray object:
Matrices with only subdiagonals or superdiagonals are always nilpotent:
The size of the matrix generated by DiagonalMatrix equals Length[list]+Abs[k]:
Band can be used to construct diagonals equivalent to DiagonalMatrix:
They will be SameQ if the vector is a SparseArray:
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