diag

Create diagonal matrix or get diagonal elements of matrix

Syntax

D = diag(v)

D = diag(v,k)

x = diag(A)

x = diag(A,k)

Description

D = diag(v) returns a square diagonal matrix with the elements of vector v on the main diagonal.

D = diag(v,k) places the elements of vector v on the kth diagonal. k=0 represents the main diagonal, k>0 is above the main diagonal, and k<0 is below the main diagonal.

x = diag(A) returns a column vector of the main diagonal elements of A.

x = diag(A,k) returns a column vector of the elements on the kth diagonal of A.

Examples

Create Diagonal Matrices

Create a 1-by-5 vector.

v = [2 1 -1 -2 -5];

Use diag to create a matrix with the elements of v on the main diagonal.

D = diag(v)

D = 5×5

     2     0     0     0     0
     0     1     0     0     0
     0     0    -1     0     0
     0     0     0    -2     0
     0     0     0     0    -5

Create a matrix with the elements of v on the first super diagonal (k=1).

D1 = diag(v,1)

D1 = 6×6

     0     2     0     0     0     0
     0     0     1     0     0     0
     0     0     0    -1     0     0
     0     0     0     0    -2     0
     0     0     0     0     0    -5
     0     0     0     0     0     0

The result is a 6-by-6 matrix. When you specify a vector of length n as an input, diag returns a square matrix of size n+abs(k).

Get Diagonal Elements

Get the elements on the main diagonal of a random 6-by-6 matrix.

A = randi(10,6)

A = 6×6

     9     3    10     8     7     8
    10     6     5    10     8     1
     2    10     9     7     8     3
    10    10     2     1     4     1
     7     2     5     9     7     1
     1    10    10    10     2     9

x = diag(A)

x = 6×1

     9
     6
     9
     1
     7
     9

Get the elements on the first subdiagonal (k=-1) of A. The result has one fewer element than the main diagonal.

x1 = diag(A,-1)

x1 = 5×1

    10
    10
     2
     9
     2

Calling diag twice returns a diagonal matrix composed of the diagonal elements of the original matrix.

A1 = diag(diag(A))

A1 = 6×6

     9     0     0     0     0     0
     0     6     0     0     0     0
     0     0     9     0     0     0
     0     0     0     1     0     0
     0     0     0     0     7     0
     0     0     0     0     0     9

Input Arguments

v — Diagonal elements

vector

Diagonal elements, specified as a vector. If v is a vector with N elements, then diag(v,k) is a square matrix of order N+abs(k).

diag([]) returns an empty matrix, [].

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | char
Complex Number Support: Yes

A — Input matrix

matrix

Input matrix. diag returns an error if ndims(A) > 2.

diag([]) returns an empty matrix, [].

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | char
Complex Number Support: Yes

k — Diagonal number

integer

Diagonal number, specified as an integer. k=0 represents the main diagonal, k>0 is above the main diagonal, and k<0 is below the main diagonal.

For an m-by-n matrix, k is in the range $$(-m+1)\le k\le (n-1).$$

Tips

• The trace of a matrix is equal to sum(diag(A)).

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• If you supply k, then it must be a real and scalar integer value.

• For variable-size inputs that are variable-length vectors (1-by-: or :-by-1), diag:

  • Treats the input as a vector

  • Returns a matrix with the input vector along the specified diagonal

• For variable-size inputs that are not variable-length vectors, diag:

  • Treats the input as a matrix

  • Does not support inputs that are vectors at run time

  • Returns a variable-length vector

  If the input is variable-size (:m-by-:n) and has shape 0-by-0 at run time, then the output is 0-by-1, not 0-by-0. However, if the input is a constant size 0-by-0, then the output is [].

• For variable-size inputs that are not variable-length vectors (1-by-: or :-by-1), diag treats the input as a matrix from which to extract a diagonal vector. This behavior occurs even if the input array is a vector at run time. To force diag to build a matrix from variable-size inputs that are not 1-by-: or :-by-1, use:

  • diag(x(:)) instead of diag(x)

  • diag(x(:),k) instead of diag(x,k)

• See Variable-Sizing Restrictions for Code Generation of Toolbox Functions (MATLAB Coder).

GPU Code Generation

Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Usage notes and limitations:

• If you supply k, then it must be a real and scalar integer value.

• For variable-size inputs that are variable-length vectors (1-by-: or :-by-1), diag:

  • Treats the input as a vector

  • Returns a matrix with the input vector along the specified diagonal

• For variable-size inputs that are not variable-length vectors, diag:

  • Treats the input as a matrix

  • Does not support inputs that are vectors at run time

  • Returns a variable-length vector

  If the input is variable-size (:m-by-:n) and has shape 0-by-0 at run time, then the output is 0-by-1, not 0-by-0. However, if the input is a constant size 0-by-0, then the output is [].

• For variable-size inputs that are not variable-length vectors (1-by-: or :-by-1), diag treats the input as a matrix from which to extract a diagonal vector. This behavior occurs even if the input array is a vector at run time. To force diag to build a matrix from variable-size inputs that are not 1-by-: or :-by-1, use:

  • diag(x(:)) instead of diag(x)

  • diag(x(:),k) instead of diag(x,k)

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).