Understanding the Adjoint of a Linear Transformation on an Inner Product Space

In summary, the adjoint of a linear transformation f on an inner product space V is a linear transformation f* on V that satisfies <f(v),w> = <v,f*(w)> for all v,w in V. This is equivalent to the formula <f*(v),w> = <v,f(w)> and is a more general definition than the restricted one mentioned in the conversation. The concept of "adjoint" is a dual concept, where the adjoint of f* is f itself. The special case of "self-adjoint" only applies when f is a linear transformation on a single inner product space U.
  • #1
pivoxa15
2,255
1
Definition: Let f:V->V be a linear transformation on an inner product space V. The adjoint f* of f is a linear transformation f*:V->V satisfying
<f(v),w>=<v,f*(w)> for all v,w in V.


My question is would <f*(v),w>=<v,f(w)> be equivalent to the above formula in the definition? If so why?

where <,> denote inner products.
 
Physics news on Phys.org
  • #2
Yes, it would be equivalent to your restricted definition. However, a more common, more general definition of "adjoint" is
If f is a linear transformation from one inner product space, U, to another inner product space, V, then the adjoint of f, f*, is the function from V to U such that
<f(u),v>V= <u, f*(v)>U. The subscripts indicate that < , >V is the inner product in V, < , >U is the inner product in U. Of course, since f is from U to V, in order for f(u) to be defined, u must be in U and then f(u) is in V. Conversely, in order for f*(v) to be defined v must be in V and then f*(v) is in U.
In that case, you could not just reverse the inner product. It is still true, however, that "adjoint" is a "dual" concept; the adjoint of f* is f itself.

(Oh, and the very important special case of "self-adjoint" only applies in the case of f:U-> U.)
 
  • #3


Yes, <f*(v),w>=<v,f(w)> is equivalent to the formula in the definition. This is because the inner product on an inner product space is linear in its first argument. In other words, for any fixed vector w, the map v -> <v,w> is a linear transformation. Therefore, we can apply this property to the definition of the adjoint and obtain <f*(v),w> = <v,f*(w)> for all v,w in V. Both formulas express the same property, just with the roles of v and w switched.
 

1. What is the adjoint of a linear transformation on an inner product space?

The adjoint of a linear transformation on an inner product space is a mapping from the dual space of the range of the linear transformation to the dual space of the domain. It is defined as the unique linear transformation that satisfies the property of preserving the inner product between two vectors.

2. How is the adjoint of a linear transformation related to the transpose of a matrix?

In finite-dimensional inner product spaces, the adjoint of a linear transformation is equivalent to the transpose of the matrix representing the linear transformation with respect to orthonormal bases. However, in infinite-dimensional spaces, this relationship does not always hold.

3. What is the importance of understanding the adjoint of a linear transformation?

Understanding the adjoint of a linear transformation is crucial in many areas of mathematics and physics, including functional analysis, quantum mechanics, and signal processing. It allows for the analysis of properties such as orthogonality, self-adjointness, and unitarity of linear transformations.

4. How is the adjoint of a linear transformation calculated?

The adjoint of a linear transformation can be calculated by taking the transpose of the matrix representation of the linear transformation and then applying the complex conjugate to each entry. In infinite-dimensional spaces, it can be found using the Riesz representation theorem.

5. Can the adjoint of a linear transformation always be defined?

No, the adjoint of a linear transformation can only be defined in inner product spaces. If the space is not equipped with an inner product, the concept of an adjoint does not exist. Additionally, the adjoint may not always exist if the linear transformation is not bounded or if the inner product space is not complete.

Similar threads

  • Linear and Abstract Algebra
Replies
3
Views
3K
  • Linear and Abstract Algebra
Replies
10
Views
320
Replies
4
Views
853
  • Linear and Abstract Algebra
Replies
3
Views
926
  • Linear and Abstract Algebra
Replies
8
Views
1K
Replies
3
Views
2K
  • Linear and Abstract Algebra
Replies
8
Views
958
  • Linear and Abstract Algebra
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
2
Views
2K
  • Linear and Abstract Algebra
Replies
17
Views
2K
Back
Top