Can Polynomials Satisfy the Equation xf''(x) - f'(x) = g(x)?

In summary, we need to show that for any arbitrary polynomial g(x) belonging to Pn-1(R), there exists a polynomial f(x) belonging to Pn(R) such that xf''(x)-f'(x)=g(x). This can be proven by showing that the linear transformation T: Pn(R) --> Pn-1(R) where f(x) |--> xf''(x)-f'(x) is onto, which can be done by showing that the dimension of the nullspace of T is 1.
  • #1
tinfoilhat
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Let g(x) belonging to Pn-1(R) be an arbiitrary polynomial of degree n-1 or less. Show that there exists a polynomial f(x) belonging to Pn(R) such that xf''(x)-f'(x)=g(x)"

I interpreted this question as having to prove the linear transformation T: Pn(R) --> Pn-1(R) where f(x) |--> xf''(x)-f'(x) is onto.

If I let f(x)=a+bx+cx^2+...+zx^n
T(f(x))=-b

Therefore the range of T is {x} which has dimension 1. By the dimension theorem (and just looking at the results), the nullspace has dimension n. This of course is not onto.

I think I must be interpreting the question wrong. Please help! I have a midterm tomorrow.
 
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  • #2


Hello, thank you for your question. It seems like you have the right idea, but there are a few things that need to be clarified. First, the question is asking to show that there exists a polynomial f(x) belonging to Pn(R) such that xf''(x)-f'(x)=g(x) for any arbitrary polynomial g(x) belonging to Pn-1(R). So, we are not just looking at one specific polynomial f(x), but rather proving that there exists one for any g(x).

Next, the linear transformation T: Pn(R) --> Pn-1(R) is not onto because the range is not equal to the codomain. The range of T is actually Pn-2(R), since the degree of xf''(x)-f'(x) is n-2. So, we need to show that the range of T is equal to Pn-1(R), which would mean that T is onto.

To show this, we can use the fact that the dimension of the range of T is equal to the dimension of the codomain minus the dimension of the nullspace. So, if we can prove that the dimension of the nullspace of T is equal to 1, then the dimension of the range would be n-1, which is equal to the dimension of Pn-1(R), and therefore T would be onto.

To find the nullspace of T, we need to solve the equation xf''(x)-f'(x)=0. This can be rewritten as xf''(x)=f'(x), which is a separable differential equation. Solving this equation gives us f(x)=ce^x, where c is a constant. This means that the nullspace of T is the set of all constant functions, which has dimension 1. Therefore, the dimension of the range of T is n-1, and T is onto.

I hope this helps clarify the question and how to approach it. Good luck on your midterm!
 
  • #3



Hi there,

It looks like you're on the right track, but there are a few things that need clarification. First, the question is asking to show that there exists a polynomial f(x) in Pn(R) such that xf''(x)-f'(x)=g(x). This means that f(x) is the unknown polynomial that we are trying to find, and g(x) is the given polynomial of degree n-1 or less.

Next, it's important to note that the range of T is actually the set of all polynomials of degree n-1 or less, not just {x}. This is because for any polynomial g(x) of degree n-1 or less, we can find a polynomial f(x) such that xf''(x)-f'(x)=g(x). This is what we need to prove.

So let's say we have a polynomial g(x)=a0+a1x+...+an-1x^(n-1) in Pn-1(R). We want to find a polynomial f(x) in Pn(R) such that xf''(x)-f'(x)=g(x). Let's assume that f(x)=a0+a1x+...+anx^n. Then we can write out the equation:

xf''(x)-f'(x) = (a0+a1x+...+anx^n)' - (a0+a1x+...+anx^n)

= a1+2a2x+...+nanxn-1 - a0-a1x-...-anx^n

= (-a0)+(a1-a1)x+(a2-2a2)x^2+...+(an-nan)x^n + nanx^n

= (-a0)+(a1-a1)x+(a2-2a2)x^2+...+(an-nan)x^n + g(x)

So we can see that by choosing the coefficients a0, a1, ..., an such that (-a0)=a0, (a1-a1)=a1, ..., (an-nan)=an, we can make the equation xf''(x)-f'(x)=g(x) hold. This means that there exists a polynomial f(x) in Pn(R) such that xf''(x)-f'(x)=g(x), and therefore T is onto.

Hope this helps! Good luck on your midterm.
 

1. What is a linear transformation?

A linear transformation is a mathematical function that maps one vector space to another in a way that preserves the structure of the original space. In other words, the transformation maintains the relationship between the vectors and their operations, such as addition and scalar multiplication.

2. What are the properties of a linear transformation?

There are three main properties of a linear transformation: it preserves addition, it preserves scalar multiplication, and it preserves the zero vector. This means that when you add two vectors and then apply the transformation, the result is the same as applying the transformation to each vector separately and then adding the results. Similarly, multiplying a vector by a scalar and then applying the transformation is the same as applying the transformation and then multiplying the result by the scalar. Lastly, the transformation must map the zero vector to the zero vector.

3. How can linear transformations be represented?

Linear transformations can be represented in several ways, depending on the context. In general, a linear transformation can be represented by a matrix, as long as both the input and output vector spaces have a finite number of dimensions. In addition, a linear transformation can also be represented by a system of linear equations or a geometric transformation in higher dimensions.

4. What is the difference between a linear transformation and a nonlinear transformation?

A linear transformation is a type of mathematical function that follows the properties of linearity, as mentioned in the second question. On the other hand, a nonlinear transformation does not follow these properties and can result in a curved or distorted mapping between vector spaces. Nonlinear transformations are often used in more complex mathematical models, as they can better represent real-world phenomena.

5. What are some applications of linear transformations?

Linear transformations have many practical applications, especially in fields such as physics, engineering, and computer graphics. For example, in physics, linear transformations are used to represent the motion and forces acting on objects. In engineering, they are used to model electrical circuits and signal processing. In computer graphics, they are used to transform 2D and 3D objects, allowing for complex and realistic animations.

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