Is Every Linear Function a Linear Combination of Basis Functions?

In summary, the student is trying to solve a problem involving linear equations, but is having difficulty. He has found two vectors that can form a basis for the space, and has shown that the equation holds based on taking the scalar product of the psis.
  • #1
MrRobot
5
0

Homework Statement


Hi, am having difficulty with the Linear algebra in QM. We have been given a problem set and one of the questions am struggling with is as follows:

Consider the space of all linear functions ##f(x) = ax + b## (x real) defined over the range ## -1 < x < 1 ##, with the scalar product ## \int_{-1}^{1} g(x)f(x) dx ##.

Show that any arbitrary function ## f(x) = ax + b ## can be written as ## f(x) = c_1\psi_1(x) + c_2\psi_2(x) ##, finding ## c_1 ## and ## c_2 ## using the scalar product. (i.e. show that ## \psi_1(x) ## and ## \psi_2(x) ## form a basis). ## \psi_1(x) = 1/ \sqrt{2} ##, ## \psi_2(x) = \sqrt{3/2}x ##

So i know that functions are complete in Hilbert Space and so can be written as ## f(x) = \sum_{n = 1}^{\infty} c_n f_{n}(x) ##, but now am not sure how to use this to answer the question or if am suppose to use it, please help. THANK YOU IN ADVANCE.

Homework Equations

The Attempt at a Solution

 
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  • #2
You don't need to use that infinite sum, because the given space is only a tiny subspace of the function space. Intuitively, one can easily 'feel' that it's two-dimensional, since every function in it can be uniquely characterised by the two parameters a and b. By contrast, the unconstrained function space is infinite-dimensional.

To show that the two psi vectors form a basis you need to

(1) show that any function ax + b can be written as a linear sum of the two psis; and
(2) show that the two psis are linearly independent.

Start by showing that ##\langle\psi_1|\psi_2\rangle=0##, which proves (2). Then look at the equation they gave you:
$$
f(x) = c_1\psi_1(x) + c_2\psi_2(x)
$$

If you take the scalar product of both sides with some function (what function?) you can, with some very easy integration, get the value of ##c_1##. Then doing something similar with a different function can give you ##c_2##. Then show that with those values of ##c_1, c_2##, which will both be functions of ##a## and ##b##, the equation holds, ie the function ##f## is a linear sum of the psis.

The method they have required you to use, involving scalar products, is much longer than the alternative of just equating coefficients, but I guess the idea is to get you used to operating with scalar products.
 
  • #3
andrewkirk said:
You don't need to use that infinite sum, because the given space is only a tiny subspace of the function space. Intuitively, one can easily 'feel' that it's two-dimensional, since every function in it can be uniquely characterised by the two parameters a and b. By contrast, the unconstrained function space is infinite-dimensional.

To show that the two psi vectors form a basis you need to

(1) show that any function ax + b can be written as a linear sum of the two psis; and
(2) show that the two psis are linearly independent.

Start by showing that ##\langle\psi_1|\psi_2\rangle=0##, which proves (2). Then look at the equation they gave you:
$$
f(x) = c_1\psi_1(x) + c_2\psi_2(x)
$$

If you take the scalar product of both sides with some function (what function?) you can, with some very easy integration, get the value of ##c_1##. Then doing something similar with a different function can give you ##c_2##. Then show that with those values of ##c_1, c_2##, which will both be functions of ##a## and ##b##, the equation holds, ie the function ##f## is a linear sum of the psis.

The method they have required you to use, involving scalar products, is much longer than the alternative of just equating coefficients, but I guess the idea is to get you used to operating with scalar products.
Thank you very much andrewkirk this helped, It would have been very straight forward indeed to just match up the coefficients because I then did the matching after the long inner product calculation and my answers matched.

I used each of the psis to take inner product with the function ##f## as follows
$$
\langle\psi_1|f(x)\rangle = \langle\psi_1|c_1\psi_1 + c_2\psi_2\rangle
$$
$$
\int_{-1}^{1} \left(1/\sqrt{2}\right) \left(ax + b\right) dx = \langle\psi_1|c_1\psi_1\rangle + \langle\psi_1|c_2\psi_2\rangle
$$
and after some computation i got ##c_1 = \sqrt{2}b##, did a similar thing for ##c_2##, this time using ##\psi_2## and got ##c_2 = \sqrt{2/3}a## and substituting back really gave me ##f(x) = ax + b##
 

FAQ: Is Every Linear Function a Linear Combination of Basis Functions?

What is a QM Vector Space?

A QM Vector Space, also known as a quantum mechanical vector space, is a mathematical concept used to describe the state of a quantum mechanical system. It is a mathematical space in which vectors can be added and multiplied by scalars, and it follows the rules of quantum mechanics.

What is a linear function in QM Vector Space?

A linear function in QM Vector Space is a function that preserves the structure of the vector space. This means that the function must satisfy the properties of linearity, such as preserving addition and scalar multiplication. In quantum mechanics, linear functions are used to describe the evolution of a quantum system over time.

How are linear functions represented in QM Vector Space?

In QM Vector Space, linear functions are represented by matrices. These matrices are called operators, and they act on the vectors in the vector space to produce a new vector. The properties of linearity are maintained through the matrix operations, making them an essential tool in quantum mechanics.

What is the relationship between QM Vector Space and Hilbert Space?

QM Vector Space is a type of Hilbert Space, which is a mathematical concept used to describe infinite-dimensional vector spaces. Hilbert Spaces are used in quantum mechanics because they allow for the representation of continuous variables, such as position and momentum. QM Vector Space is a specific type of Hilbert Space that is used to describe quantum systems.

How are QM Vector Spaces used in the study of quantum mechanics?

QM Vector Spaces are essential in the study of quantum mechanics as they provide a mathematical framework for describing the state and evolution of quantum systems. They are used to represent physical quantities, such as position and momentum, and to calculate the probabilities of different outcomes in quantum experiments. QM Vector Spaces also allow for the application of mathematical tools, such as linear algebra, to understand and solve complex quantum problems.

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