Proving Convexity of Numerical Range for Normal T

In summary, if T is a normal linear transformation on a finite-dimensional inner product space over complex numbers, then the numerical range of T is convex. The image of T must also be convex.
  • #1
julydecember
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Homework Statement


If T is a linear transformation on the finite-dimensional inner product space over complex numbers and is normal, then prove that the numerical range of T is convex.


Homework Equations





The Attempt at a Solution


If we assume a and b are in the numerical range of T, then we have to prove that (1-c)a + c b is also in the numerical range of T for 0<= c <= 1. Can someone give some help, please?
 
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  • #2
julydecember said:

Homework Statement


If T is a linear transformation on the finite-dimensional inner product space over complex numbers
which finite-dimensional inner product space? And what is the codomain of T?

julydecember said:
and is normal,
what does normal mean?

julydecember said:
then prove that the numerical range of T is convex.
Do you mean "prove that the image of T is convex"?
 

Related to Proving Convexity of Numerical Range for Normal T

1. How is the numerical range of a normal operator T related to convexity?

The numerical range of a normal operator T is always convex. This means that for any two points in the numerical range, the line segment connecting them is also contained within the numerical range. In other words, the numerical range is a convex set.

2. What is the definition of convexity for a set?

A set is convex if for any two points in the set, the line segment connecting them is also contained within the set.

3. How can we prove convexity of the numerical range for a normal operator T?

To prove convexity of the numerical range for a normal operator T, we can use the spectral theorem to show that the numerical range is equal to the convex hull of the eigenvalues of T. This means that any point in the numerical range can be expressed as a convex combination of the eigenvalues, and therefore the line segment connecting any two points is also contained within the numerical range.

4. Is convexity of the numerical range unique to normal operators?

No, convexity of the numerical range is not unique to normal operators. In fact, the numerical range of any operator is always convex, regardless of whether the operator is normal or not.

5. How is the convexity of the numerical range related to the spectrum of a normal operator T?

The convexity of the numerical range is closely related to the spectrum of a normal operator T. The spectrum of T is the set of all possible values that T can take on, and the numerical range is a subset of the spectrum. Therefore, the convexity of the numerical range is a property of the spectrum of T.

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