Prove that this is a linear transformation

In summary, the problem statement is trying to show that a linear function, T : V →R, satisfies the two conditions: 1) T(cv) = cT(v) where c is a constant, and 2) T(u+v) = T(u)+T(v). To satisfy condition 1), the function must satisfy the equation: T(cv) = cT(v) where c is a constant. To satisfy condition 2), the function must satisfy the equation: T(u+v) = T(u)+T(v).
  • #1
charlies1902
162
0
The problem statement has been attached.

To show that T : V →R is a linear function
It must satisfy 2 conditions:
1) T(cv) = cT(v) where c is a constant
and
2) T(u+v) = T(u)+T(v)


For condition 1)
T(cv)=∫cvdx from 0 to 1 (I don't know how to put limits into the integral.
cT(v)=c∫vdx (pulling a constant out of an integral)
cT(v)=cT(v)

I think I did the work for condition 1 right?


For condition 2)
T(u+v) where u=u1 and v=v1
T(u+v)=∫(u+v)dx
T(u+v)=∫(u)dx + ∫(v)dx (this is called the sum rule of integration, I think).
T(u+v)=T(u)+T(v)

Did i do this right?
 

Attachments

  • Untitled.png
    Untitled.png
    11.2 KB · Views: 697
Physics news on Phys.org
  • #2
charlies1902 said:
The problem statement has been attached.

To show that T : V →R is a linear function
It must satisfy 2 conditions:
1) T(cv) = cT(v) where c is a constant
and
2) T(u+v) = T(u)+T(v)


For condition 1)
T(cv)=∫cvdx from 0 to 1 (I don't know how to put limits into the integral.
cT(v)=c∫vdx (pulling a constant out of an integral)
cT(v)=cT(v)

I think I did the work for condition 1 right?


For condition 2)
T(u+v) where u=u1 and v=v1
T(u+v)=∫(u+v)dx
T(u+v)=∫(u)dx + ∫(v)dx (this is called the sum rule of integration, I think).
T(u+v)=T(u)+T(v)

Did i do this right?

The 2nd part looks OK, but both parts could be cleaned up some.

For the first part, start with T(cv) and keep working until you get to cT(v), connecting each pair of successive equal expressions with '='. In your second line you start off with cT(v), which is you're trying to show is equal to T(cv).

The work should look like this:
T(cv) = ##\int_0^1 cv~dx = c\int_0^1 v~dx## = cT(v).

In the second part, you have u = u1 and v = v1, but then you never use them, so why are they there?

The second part should look like this: T(u + v) = ##\int_0^1 u +v~dx## = ... = T(u) + T(v)

I used LaTeX for the integrals. Right-click any of the integrals to see how I did it.
 
  • #3
Is there any point in providing the limits of integration? I don't see the use except to define the function as continuous on that interval.
 

Related to Prove that this is a linear transformation

1. What is a linear transformation?

A linear transformation is a mathematical operation that maps one vector space to another vector space in a linear manner. In simpler terms, it is a function that preserves addition and scalar multiplication.

2. How do you prove that something is a linear transformation?

To prove that something is a linear transformation, you must show that it satisfies two properties: additivity and homogeneity. Additivity means that the transformation preserves vector addition, and homogeneity means that the transformation preserves scalar multiplication. If these two properties are satisfied, then the transformation is considered linear.

3. What are the key steps in proving linearity?

The key steps in proving linearity are:

  • Show that the transformation preserves vector addition.
  • Show that the transformation preserves scalar multiplication.
  • Use the linearity criteria to prove that the transformation is linear.

4. How is linearity different from other types of transformations?

Linearity is different from other types of transformations because it preserves the properties of vector addition and scalar multiplication. This means that linear transformations can be easily manipulated and analyzed using mathematical operations, making them useful in various fields such as physics, engineering, and computer science.

5. Can a transformation be linear in some cases and not linear in others?

Yes, a transformation can be linear in some cases and not linear in others. This depends on whether or not the transformation satisfies the two key properties of linearity: additivity and homogeneity. If the transformation fails to satisfy these properties in certain cases, then it is not considered linear.

Similar threads

  • Calculus and Beyond Homework Help
Replies
1
Views
703
  • Calculus and Beyond Homework Help
Replies
0
Views
491
  • Calculus and Beyond Homework Help
Replies
7
Views
485
  • Calculus and Beyond Homework Help
Replies
5
Views
337
  • Calculus and Beyond Homework Help
Replies
2
Views
820
  • Calculus and Beyond Homework Help
Replies
1
Views
672
  • Calculus and Beyond Homework Help
Replies
16
Views
1K
  • Calculus and Beyond Homework Help
Replies
9
Views
645
  • Calculus and Beyond Homework Help
Replies
24
Views
987
  • Calculus and Beyond Homework Help
Replies
1
Views
264
Back
Top