Inner Product and Orthogonal Complement of Symmetric and Skew-Symmetric Matrices

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In summary, the conversation discusses the vector space \Renxn and its subspaces of symmetric matrices (S) and skew-symmetric matrices (R). The inner product of matrices X and Y is defined as <X,Y>=Tr(XTY). The task at hand is to show that, with respect to this inner product, the subspace R is the orthogonal complement of S. To do so, it is sufficient to show that the inner product of any member of R with any member of S is equal to 0.
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ahamdiheme
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Homework Statement



Consider the vector space [tex]\Re[/tex]nxn over [tex]\Re[/tex], let S denote the subspace of symmetric matrices, and R denote the subspace of skew-symmetric matrices. For matrices X,Y[tex]\in[/tex][tex]\Re[/tex]nxn define their inner product by <X,Y>=Tr(XTY). Show that, with respect to this inner product,
R=S[tex]\bot[/tex]

Homework Equations



Definition of inner product
Definition of orthogonal compliment
Definition of symmetric matrix
Definition of skew symmetric matrix

The Attempt at a Solution


If i can show that
R-S[tex]\bot[/tex]=0
will it be sufficient and how do i go about it?
 
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  • #2
What do you mean by [itex]R- S^{\bot}= 0[/itex]? To show that [itex]R= S^{\bot}[/itex] you must show that the inner product of any member of R with any member of S is 0, that's all.
 

1. What is the definition of an orthogonal complement?

The orthogonal complement of a vector space V is the set of all vectors that are perpendicular (or orthogonal) to every vector in V. This can also be defined as the set of all vectors that have a dot product of 0 with every vector in V.

2. How is the orthogonal complement denoted?

The orthogonal complement of a vector space V is denoted as V, read as "V-perp". Sometimes, it is also denoted as V or VT.

3. What is the relationship between a vector space and its orthogonal complement?

The orthogonal complement of a vector space V is a subspace of the same dimension as V. Furthermore, the union of V and V forms the entire space, and the intersection of V and V is the zero vector.

4. How is the orthogonal complement calculated for a specific vector or set of vectors?

The orthogonal complement can be calculated using various methods, such as finding the null space of a matrix representation of the vector(s) in question, or using the Gram-Schmidt process to find an orthogonal basis for the vector space. It is also important to note that the orthogonal complement is unique for a given vector space.

5. What is the significance of the orthogonal complement in mathematics and science?

The orthogonal complement has numerous applications in mathematics, physics, and other sciences. It is used in linear algebra, functional analysis, and signal processing, among other areas. In physics, it is used to study vector spaces and their properties, and in signal processing, it is used to analyze and filter signals. Overall, the orthogonal complement is an important concept in understanding and solving problems in various fields of science and mathematics.

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