A question on linearity of functionals

In summary, given a bounded linear functional defined on the sequence space L1 and a natural (Schauder) basis for L1, we can represent any element x in L1 as an infinite sum of scalars multiplied by the basis elements. Therefore, the linearity of the functional applies to infinite sums as well.
  • #1
Ricky2357
23
0
Suppose we have a bounded linear functional f defined on L1 (the sequence space of all absolutely summable sequences) and we take the natural (Schauder) basis for L1, that is, the set of sequences (E1,E2,...,En,...) that have 1 in the n th position and everywere else zero. Pick x in L1.
Then x=A1*E1+A2*E2+... , for some scalars An.
Do we need to justify the fact that

f(x)=A1*f(E1)+A2*f(E2)+... ?

In other words, do we need to justify that linearity is still applied even on infinite sums?
 
Physics news on Phys.org
  • #2
There is nothing to justify at all.
 
  • #3


Yes, we do need to justify the fact that linearity is still applied even on infinite sums. This is because linearity is a fundamental property of linear functionals, and it must hold for all possible inputs, including infinite sums. In order to justify this, we can use the linearity property of the functional f, which states that for any scalars a and b and any two sequences x and y in L1, we have f(ax+by) = af(x) + bf(y).

In this case, we can view the sequence x as an infinite sum of the basis sequences (E1, E2, ...). Using the linearity property, we can write x = A1*E1 + A2*E2 + ... = A1*x1 + A2*x2 + ..., where x1, x2, ... are the basis sequences. Then, we can apply the linearity property again to write f(x) = f(A1*x1 + A2*x2 + ...) = A1*f(x1) + A2*f(x2) + ...

Therefore, we can justify that linearity is still applied on infinite sums by using the linearity property of the functional and breaking down the infinite sum into a finite sum of basis sequences.
 

Related to A question on linearity of functionals

1. What is a functional in mathematics?

A functional in mathematics is a special type of mapping or transformation that takes in a set of mathematical objects, such as functions or vectors, and outputs a single value. In simpler terms, it is a function that operates on other functions or mathematical objects.

2. What does it mean for a functional to be linear?

A functional is considered to be linear if it follows the properties of linearity, which include additivity and homogeneity. This means that the functional must satisfy the equations f(x+y) = f(x) + f(y) and f(ax) = af(x), where x and y are mathematical objects and a is a scalar.

3. How do you determine if a functional is linear or non-linear?

To determine if a functional is linear or non-linear, you can use the properties of linearity mentioned above. If the functional satisfies these properties, then it is linear. If not, it is considered to be non-linear.

4. What is the significance of linearity in functionals?

Linearity in functionals is significant because it allows for simpler and more manageable calculations. It also allows for the use of powerful mathematical tools, such as linear algebra, to analyze and understand the behavior of the functional.

5. Can a functional be both linear and non-linear?

No, a functional cannot be both linear and non-linear. It must satisfy all the properties of linearity to be considered linear, and if it fails to meet even one of these properties, it is considered to be non-linear.

Similar threads

Replies
14
Views
1K
Replies
3
Views
2K
Replies
36
Views
4K
  • Calculus and Beyond Homework Help
Replies
16
Views
2K
  • Calculus and Beyond Homework Help
Replies
4
Views
373
  • Calculus and Beyond Homework Help
Replies
1
Views
312
Replies
1
Views
255
Replies
1
Views
992
Back
Top