Find matrix representation with respect to the basis

In summary, the set of all solutions of the differential equation \d{^2{y}}{{x}^2}+y=0 is a real vector space. V=\left\{f:R\to R \mid f^{\prime\prime}+f=0\right\} shows that \left\{{e}_{1},{e}_{2}\right\} is a basis for $V$. D:V \to V, \space y \to \d{x}{y} is a linear transformation and find it's matrix representation with respect to the basis above.
  • #1
Kronos1
5
0
The set of all solutions of the differential equation

\(\displaystyle \d{^2{y}}{{x}^2}+y=0\)

is a real vector space

\(\displaystyle V=\left\{f:R\to R \mid f^{\prime\prime}+f=0\right\}\)

show that \(\displaystyle \left\{{e}_{1},{e}_{2}\right\}\) is a basis for $V$, where

\(\displaystyle {e}_{1}:R \to R, \space x \to \sin(x)\)

\(\displaystyle {e}_{2}:R \to R, \space x \to \sin\left(x+\frac{\pi}{4}\right)\)

Show that

\(\displaystyle D:V \to V, \space y \to \d{x}{y}\)

is a linear transformation and find it's matrix representation with respect to the basis above
 
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  • #2
What have you done so far? Also, what theorems are you allowed to invoke? Lastly, are you sure it's not
$$D:V\to V, y \to \frac{dy}{dx}?$$
 
  • #3
you are correct it is \(\displaystyle D:V \to V, \space y \to \d{y}{x}\)

so far I have set \(\displaystyle {e}_{1}\space and\space {e}_{2}=V\) to prove that the definition of \(\displaystyle f^{\prime\prime}+f=0\) which was true for both of them. Now to my knowledge to prove a basis I need to prove that they are linearly independent which I think can be done by showing that \(\displaystyle {c}_{1}{e}_{1}+{c}_{2}{e}_{2}=0 \space for \space c\in R\) which as they both equal 0 is true for all $c$.

Assuming the above part is right I don't know how to go about the next part?
 
  • #4
Kronos said:
you are correct it is \(\displaystyle D:V \to V, \space y \to \d{y}{x}\)

so far I have set \(\displaystyle {e}_{1}\space and\space {e}_{2}=V\) to prove that the definition of \(\displaystyle f^{\prime\prime}+f=0\) which was true for both of them. Now to my knowledge to prove a basis I need to prove that they are linearly independent which I think can be done by showing that \(\displaystyle {c}_{1}{e}_{1}+{c}_{2}{e}_{2}=0 \space for \space c\in R\) which as they both equal 0 is true for all $c$.

Assuming the above part is right I don't know how to go about the next part?

That is not what linearly independent means. It means that if: $c_1,c_2$ are real constants such that:

$c_1e_1(x) + c_2e_2(x) = 0$, for ALL $x \in \Bbb R$ that we MUST HAVE $c_1 = c_2 = 0$.

Since both $\sin(x)$ and $\sin(x + \frac{\pi}{4})$ are periodic (with period $2\pi$) it suffices to consider $x \in [0,2\pi)$.

Suppose $x = \dfrac{\pi}{2}$. What does that tell you about what $c_2$ must be in terms of $c_1$?

Next, suppose $x = 0$. What does that tell you about what $c_2$ must be?

Proving spanning is even harder: you must show that ANY solution to:

$f'' + f = 0$

can be written in the form $c_1e_1 + c_2e_2$ for some real numbers $c_1,c_2$.

This is not a trivial problem. To see what I mean, note that:

$f(x) = \cos(x)$ is an element of your vector space.
 
Last edited:
  • #5
You can also use the Wronskian to show linear independence.
 

FAQ: Find matrix representation with respect to the basis

1. What does it mean to find the matrix representation with respect to a basis?

Finding the matrix representation with respect to a basis means representing a linear transformation or a vector in a given basis. This allows us to understand and analyze the transformation or vector in a more structured and organized manner.

2. Why is it important to find the matrix representation with respect to a basis?

It is important to find the matrix representation with respect to a basis because it helps us to perform operations and calculations on vectors and linear transformations more efficiently. It also allows us to compare and analyze different transformations or vectors using a common basis.

3. How do you find the matrix representation with respect to a basis?

To find the matrix representation with respect to a basis, we first need to determine the basis vectors and their corresponding coordinates. Then, we apply the transformation or vector to each basis vector and record the resulting coordinates. These coordinates form the columns of the matrix representation.

4. Can you give an example of finding the matrix representation with respect to a basis?

Sure, let's say we have a linear transformation T: R^2 -> R^2 defined by T(x,y) = (2x+y, 3x-y). We want to find the matrix representation of T with respect to the standard basis of R^2. First, we apply T to the basis vectors (1,0) and (0,1) and record the resulting coordinates: (2,3) and (1,-1), respectively. Then, these coordinates form the columns of the matrix representation:
|2 1|
|3 -1|

5. How does finding the matrix representation with respect to a basis relate to change of basis?

Finding the matrix representation with respect to a basis is closely related to change of basis. In fact, finding the matrix representation is one of the steps in changing the basis of a vector or transformation. It allows us to compare and analyze the vector or transformation in different bases, and make transformations between them using the appropriate change of basis matrix.

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