Problem 16
Question
Show that the given functions in \(C^{0}[-1,1]\) are orthogonal, and use them to construct an orthonormal set of functions in \(C^{0}[-1,1]\) $$f_{1}(x)=2 x, f_{2}(x)=1+2 x^{2}, f_{3}(x)=x^{3}-\frac{3}{5} x$$
Step-by-Step Solution
Verified Answer
The given functions \(f_1(x)=2x, f_2(x)=1+2x^2\), and \(f_3(x)=x^3-\frac{3}{5}x\) are orthogonal in the interval \([-1, 1]\) as their inner products are all zero. The orthonormal set of functions is then given by \[\hat{f_1}(x) = \frac{3}{2}x,\ \hat{f_2}(x) = \frac{3}{\sqrt{14}}(1 + 2x^2),\ \hat{f_3}(x) = \frac{5}{2}(x^3 - \frac{3}{5}x)\]
1Step 1: Compute the inner product between \(f_1(x)\) and \(f_2(x)\)
Let's compute the integral:
\[\langle f_1, f_2 \rangle = \int_{-1}^1 (2x)(1 + 2x^2)dx\]
\[ = 2\int_{-1}^1 (x + 2x^3)dx\]
\[ = 2\left[\frac{1}{2}x^2 + \frac{1}{2}x^4\right]_{-1}^1\]
\[ = 2((\frac{1}{2} + \frac{1}{2}) - (-\frac{1}{2} - \frac{1}{2})) = 0\]
So, \(f_1(x)\) and \(f_2(x)\) are orthogonal.
2Step 2: Compute the inner product between \(f_1(x)\) and \(f_3(x)\)
Let's compute the integral:
\[\langle f_1, f_3 \rangle = \int_{-1}^1 (2x)(x^3 - \frac{3}{5}x)dx\]
\[ = 2\int_{-1}^1 (x^4 - \frac{3}{5}x^2)dx\]
\[ = 2\left[\frac{1}{5}x^5 - \frac{1}{5}x^3\right]_{-1}^1\]
\[ = 2((\frac{1}{5} - \frac{1}{5}) - (-\frac{1}{5} + \frac{1}{5})) = 0\]
So, \(f_1(x)\) and \(f_3(x)\) are orthogonal.
3Step 3: Compute the inner product between \(f_2(x)\) and \(f_3(x)\)
Let's compute the integral:
\[\langle f_2, f_3 \rangle = \int_{-1}^1 (1 + 2x^2)(x^3 - \frac{3}{5}x)dx\]
\[ = \int_{-1}^1 (x^3 + 2x^5 - \frac{3}{5}x - \frac{6}{5}x^3)dx\]
\[ = \int_{-1}^1 (-\frac{6}{5}x^3 + 2x^5 - \frac{3}{5}x)dx\]
\[ = \left[-\frac{3}{10}x^4 + \frac{2}{6}x^6 - \frac{3}{10}x^2\right]_{-1}^1\]
\[ = ((-\frac{3}{10} + \frac{2}{6} - \frac{3}{10}) - (\frac{3}{10} + \frac{2}{6} + \frac{3}{10})) = 0\]
So, \(f_2(x)\) and \(f_3(x)\) are orthogonal.
Now that we have shown that all three functions are orthogonal, let's calculate their norms and divide each function by its norm to obtain the orthonormal set.
4Step 4: Compute the norms of the functions
The norms of the functions are given by the square root of the inner product of the function with itself:
\[\|f\| = \sqrt{\langle f, f \rangle}\]
\[\|f_1\| = \sqrt{\langle f_1, f_1 \rangle} = \sqrt{\int_{-1}^1 (2x)^2 dx} = \sqrt{\frac{4}{3}}\]
\[\|f_2\| = \sqrt{\langle f_2, f_2 \rangle} = \sqrt{\int_{-1}^1 (1 + 2x^2)^2 dx} = \sqrt{\frac{14}{3}}\]
\[\|f_3\| = \sqrt{\langle f_3, f_3 \rangle} = \sqrt{\int_{-1}^1 (x^3 - \frac{3}{5}x)^2 dx} = \sqrt{\frac{4}{35}}\]
5Step 5: Construct an orthonormal set
Now, let's normalize each function by dividing each function by its norm:
\[\hat{f_1}(x) = \frac{f_1(x)}{\|f_1\|} = \frac{2x}{\sqrt{\frac{4}{3}}} = \frac{3}{2}x\]
\[\hat{f_2}(x) = \frac{f_2(x)}{\|f_2\|} = \frac{1 + 2x^2}{\sqrt{\frac{14}{3}}} = \frac{3}{\sqrt{14}}(1 + 2x^2)\]
\[\hat{f_3}(x) = \frac{f_3(x)}{\|f_3\|} = \frac{x^3 - \frac{3}{5}x}{\sqrt{\frac{4}{35}}} = \frac{5}{2}(x^3 - \frac{3}{5}x)\]
The orthonormal set of functions in \(C^{0}[-1,1]\) is: \[\hat{f_1}(x) = \frac{3}{2}x,\ \hat{f_2}(x) = \frac{3}{\sqrt{14}}(1 + 2x^2),\ \hat{f_3}(x) = \frac{5}{2}(x^3 - \frac{3}{5}x)\]
Key Concepts
Inner ProductOrthonormal SetFunction NormOrthogonal Set
Inner Product
In mathematics, the concept of an "inner product" is crucial for understanding the geometry of function spaces. An inner product is a way of multiplying two functions that results in a scalar. This scalar gives us information about the functions, such as their orthogonality. For the given functions, we use integrals to calculate the inner products.Let's take the inner product of functions \(f_1(x)\) and \(f_2(x)\) as an example:
- We calculate \(\langle f_1, f_2 \rangle = \int_{-1}^1 (2x)(1 + 2x^2)dx\).
- By solving the integral, the result is 0, which indicates that \(f_1(x)\) and \(f_2(x)\) are orthogonal.
Orthonormal Set
An "orthonormal set" is a collection of functions that are both orthogonal and normalized. A function is considered normalized if its norm is equal to 1. When building an orthonormal set, we start with an orthogonal set and follow through the normalization process.
For example, consider three functions \(f_1(x)\), \(f_2(x)\), and \(f_3(x)\) that are shown to be orthogonal through their inner products with each other yielding zero.Next, we need to normalize each function:
For example, consider three functions \(f_1(x)\), \(f_2(x)\), and \(f_3(x)\) that are shown to be orthogonal through their inner products with each other yielding zero.Next, we need to normalize each function:
- Calculate the norm \(\|f\|\) for each function by taking the square root of the inner product of the function with itself.
- Normalize each function by dividing it by its norm.
Function Norm
The "function norm" is a measure of the "size" or "length" of a function. Like the length of a vector in regular Euclidean space, the norm of a function is derived from an inner product. Specifically, the norm is the square root of the inner product of the function with itself.For example, to find the norm of \(f_1(x) = 2x\):
- Compute the inner product \(\langle f_1, f_1 \rangle = \int_{-1}^1 (2x)^2 dx\).
- The result of this computation is \(\frac{4}{3}\), and so the norm is \(\sqrt{\frac{4}{3}}\).
Orthogonal Set
An "orthogonal set" of functions is one where each pair of functions is orthogonal. Orthogonality, in this context, means that the inner product between any two different functions in the set is zero. This property implies the functions are completely independent in terms of data information.In the exercise, the functions \(f_1(x), f_2(x),\) and \(f_3(x)\) have been shown to form an orthogonal set by checking these conditions:
- The calculation of inner products \(\langle f_1, f_2 \rangle\), \(\langle f_1, f_3 \rangle\), and \(\langle f_2, f_3 \rangle\) all result in zero.
Other exercises in this chapter
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