Orthogonality of Two Functions

In summary: Then you can use linearity and the fact that \left\langle \varphi_0, \varphi_0 \right\rangle = \| \varphi_0 \|^2 to break up the inner product into two integrals and use algebra to show they are both zero.In summary, the problem asks to show that two functions, \varphi_{0}(x) and \varphi_{1}(x), are orthogonal on the interval [a,b]. By using the
  • #1
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Homework Statement



Show that:

[tex]\varphi_{0}(x) = f_{0}(x)[/tex]

and

[tex]\varphi_{1}(x) = f_{1}(x) - \frac{\left\langle\right\varphi_{0},f_{1}\rangle}{\left\|\varphi_{0}\right\|^{2}}\varphi_{0}(x)[/tex]

are orthogonal on the interval [a,b].

Homework Equations



Orthogonal functions satisfy:

[tex]\left\langle\right\varphi_{m},\varphi_{n}\rangle = \int^{b}_{a}\varphi_{m}(x)\varphi_{n}(x)dx = g(m)\delta_{mn}[/tex]

Where, [tex]\delta_{mn}[/tex] is the Delta Kronecker.

Also:

[tex]\left\langle\right\varphi_{m},\varphi_{m}\rangle = \left\|\varphi_{m}\right\|^{2}[/tex]

The Attempt at a Solution



Since m and n (0 and 1) are not equal, the Delta Kronecker is zero and therefore the proof is a matter of proving that:

[tex]\left\langle\right\varphi_{0},\varphi_{1}\rangle = 0[/tex]

Having substituted the functions into the inner product formula in 2:

[tex]\left\langle\right\varphi_{0},\varphi_{1}\rangle = \int^{b}_{a}\varphi_{0}(x)\varphi_{1}(x)dx =
\int^{b}_{a}f_{0}(x)\left[f_{1}(x) - \frac{\left\langle\right\varphi_{0},f_{1}\rangle}{\left\|\varphi_{0}\right\|^{2}}\varphi_{0}(x)\right]dx[/tex]

Because the Delta Kronecker is zero, all I have to do is show that:

[tex]\int^{b}_{a}f_{0}(x)\left[f_{1}(x) - \frac{\left\langle\right\varphi_{0},f_{1}\rangle}{\left\|\varphi_{0}\right\|^{2}}\varphi_{0}(x)\right]dx = 0[/tex]

I'm unsure as to whether I should use integration by parts to do the resulting integral because there is another integral embedded in the [tex]\varphi_{1}(x)[/tex] function; which (because it is a definite integral) would be tricky to differentiate or integrate.
 
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  • #2
You really don't need to bring the Kronecker delta stuff into the picture. It is completely superfluous. You do need to show that [itex]\langle \varphi_0, \varphi_1 \rangle = 0[/itex] as that is the definition of orthogonality.

Why integrate by parts? Use [itex] \langle f, g \rangle \equiv \int_a^b f(x)g(x)\,dx[/itex] and [itex]\varphi_0(x) = f_0(x)[/itex]
 

FAQ: Orthogonality of Two Functions

What is orthogonality in mathematics?

Orthogonality in mathematics refers to the concept of perpendicularity or the relationship between two lines, planes, or vectors that meet at a right angle. In a more general sense, it can also refer to the independence or lack of correlation between two mathematical objects, such as functions.

How are two functions considered orthogonal?

Two functions are considered orthogonal if their inner product or integral over a given interval is equal to zero. In other words, the two functions are perpendicular or at right angles to each other when graphed.

What is the significance of orthogonality in signal processing?

In signal processing, orthogonality is a fundamental concept that allows us to decompose a signal into simpler components and analyze it more effectively. It is particularly useful in Fourier analysis, where orthogonal functions such as sine and cosine waves are used to represent complex signals.

Can two non-zero functions be orthogonal?

Yes, two non-zero functions can be orthogonal if their inner product or integral over a given interval is equal to zero. This means that despite being non-zero, the functions do not overlap or have any correlation with each other.

How is orthogonality used in data compression?

Orthogonality is used in data compression techniques such as discrete cosine transform (DCT) and discrete wavelet transform (DWT). These techniques take advantage of the orthogonality of certain functions to reduce the amount of data needed to represent an image or signal without significant loss of information.

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