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The Matrix Cookbook
Kaare Brandt Petersen
Michael Syskind Pedersen
Version: January 5, 2005
What is this? These pages are a collection of facts (identities, approxima-
tions, inequalities, relations, ...) about matrices and matters relating to them.
It is collected in this form for the convenience of anyone who wants a quick
desktop reference .
Disclaimer: Theidentities, approximations and relations presented here were
obviously not invented but collected, borrowed and copied from a large amount
of sources. These sources include similar but shorter notes found on the internet
and appendices in books - see the references for a full list.
Errors: Very likely there are errors, typos, and mistakes for which we apolo-
gize and would be grateful to receive corrections at kbp@imm.dtu.dk.
Its ongoing: The project of keeping a large repository of relations involving
matrices is naturally ongoing and the version will be apparent from the date in
the header.
Suggestions: Your suggestion for additional content or elaboration of some
topics is most welcome at kbp@imm.dtu.dk.
Acknowledgements: We would like to thank the following for discussions,
proofreading, extensive corrections and suggestions: Esben Hoegh-Rasmussen
and Vasile Sima.
Keywords: Matrix algebra, matrix relations, matrix identities, derivative of
determinant, derivative of inverse matrix, di®erentiate a matrix.
1
CONTENTS CONTENTS
Contents
1 Basics 5
1.1 Trace and Determinants . . . . . . . . . . . . . . . . . . . . . . . 5
1.2 The Special Case 2x2 . . . . . . . . . . . . . . . . . . . . . . . . . 6
2 Derivatives 7
2.1 Derivatives of a Determinant . . . . . . . . . . . . . . . . . . . . 7
2.2 Derivatives of an Inverse . . . . . . . . . . . . . . . . . . . . . . . 8
2.3 Derivatives of Matrices, Vectors and Scalar Forms . . . . . . . . 9
2.4 Derivatives of Traces . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.5 Derivatives of Structured Matrices . . . . . . . . . . . . . . . . . 12
3 Inverses 14
3.1 Exact Relations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.2 Implication on Inverses . . . . . . . . . . . . . . . . . . . . . . . . 14
3.3 Approximations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.4 Generalized Inverse . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.5 Pseudo Inverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
4 Complex Matrices 17
4.1 Complex Derivatives . . . . . . . . . . . . . . . . . . . . . . . . . 17
5 Decompositions 20
5.1 Eigenvalues and Eigenvectors . . . . . . . . . . . . . . . . . . . . 20
5.2 Singular Value Decomposition . . . . . . . . . . . . . . . . . . . . 20
5.3 Triangular Decomposition . . . . . . . . . . . . . . . . . . . . . . 21
6 General Statistics and Probability 22
6.1 Moments of any distribution . . . . . . . . . . . . . . . . . . . . . 22
6.2 Expectations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
7 Gaussians 24
7.1 One Dimensional . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
7.2 Basics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
7.3 Moments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
7.4 Miscellaneous . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
7.5 One Dimensional Mixture of Gaussians . . . . . . . . . . . . . . . 29
7.6 Mixture of Gaussians . . . . . . . . . . . . . . . . . . . . . . . . . 30
8 Miscellaneous 31
8.1 Functions and Series . . . . . . . . . . . . . . . . . . . . . . . . . 31
8.2 Indices, Entries and Vectors . . . . . . . . . . . . . . . . . . . . . 32
8.3 Solutions to Systems of Equations . . . . . . . . . . . . . . . . . 35
8.4 Block matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
8.5 Matrix Norms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
8.6 Positive De¯nite and Semi-de¯nite Matrices . . . . . . . . . . . . 38
Petersen & Pedersen, The Matrix Cookbook (Version: January 5, 2005), Page 2
CONTENTS CONTENTS
8.7 Integral Involving Dirac Delta Functions . . . . . . . . . . . . . . 39
8.8 Miscellaneous . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
A Proofs and Details 41
Petersen & Pedersen, The Matrix Cookbook (Version: January 5, 2005), Page 3
CONTENTS CONTENTS
Notation and Nomenclature
A Matrix
A Matrix indexed for some purpose
ij
Ai Matrix indexed for some purpose
ij
A Matrix indexed for some purpose
An Matrix indexed for some purpose or
The n.th power of a square matrix
A−1 The inverse matrix of the matrix A
+
A The pseudo inverse matrix of the matrix A
A1/2 The square root of a matrix (if unique), not elementwise
(A)ij The (i,j).th entry of the matrix A
Aij The (i,j).th entry of the matrix A
a Vector
ai Vector indexed for some purpose
ai The i.th element of the vector a
a Scalar
ℜz Real part of a scalar
ℜz Real part of a vector
ℜZ Real part of a matrix
ℑz Imaginary part of a scalar
ℑz Imaginary part of a vector
ℑZ Imaginary part of a matrix
det(A) Determinant of A
||A|| Matrix norm (subscript if any denotes what norm)
AT Transposed matrix
A∗ Complex conjugated matrix
AH Transposed and complex conjugated matrix
A◦B Hadamard(elementwise) product
A⊗B Kronecker product
0 The null matrix. Zero in all entries.
I The identity matrix
ij
J The single-entry matrix, 1 at (i,j) and zero elsewhere
§ Apositive de¯nite matrix
¤ Adiagonal matrix
Petersen & Pedersen, The Matrix Cookbook (Version: January 5, 2005), Page 4
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