Linear Independence of two Functions

In summary, the conversation discusses the linear independence of two functions, t and 1/t, in a vector space of functions defined for t>0. It is shown that by choosing two values for t and solving for a and b, it can be proven that a=0 and b=0 are the only solutions, thus proving the linear independence of the two functions. The method of choosing two values for t and solving for a and b is considered sufficient for proving linear independence.
  • #1
mattmns
1,128
6
Hello, there is this question in the book:
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Consider the vector space of functions defined for t>0. Show that the following pairs of functions are linearly independent.
(a) t, 1/t
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So if they are linearly independent then there are a,b in R, such that

at + b/t = 0

So if we differentiate both sides with respect to t we get [tex]a + \frac{-b}{t^2} = 0[/tex]

which implies [tex]a = \frac{b}{t^2}[/tex]

If we plug this into the first equation, we get [tex] \frac{b}{t^2}t + \frac{b}{t} = 0[/tex]

so, [tex]\frac{2b}{t} = 0 => b = 0[/tex]

If we plug this back to the first equation it follows that a = 0. So a = 0 and b = 0, and therefore the two functions, t and 1/t, are linearly independent.
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Is that sufficient?

Also, what if I just said something like let t = 1, you then get the equation
a + b = 0
then let t = 2, and you get the equation
2a + b/2 = 0
And if you solve these equations simultaneously, it follows that a = 0 and b = 0 are the only solutions. Would that be sufficient, given that we know a = 0 and b = 0 are always solutions?Thanks!
 
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  • #2
Yes, that's perfectly valid. Remember that saying at+ b/t= 0 means it is true for all t. The simplest thing to do is just choose two values for t so you have two equations to solve for a and b. Taking t= 1 tells us that a+ b= 1. Taking t= 2 gives a+ b/2= 0. Subtracting that from a+ b= 0, we have b/2= 0 so b=0. Putting b= 0 int a+ b= 0 gives a= 0 so the functions are linearly independent.
 
  • #3
Awesome, thanks!
 

FAQ: Linear Independence of two Functions

What does it mean for two functions to be linearly independent?

Two functions are considered linearly independent if neither function can be written as a multiple of the other. In other words, the two functions do not have the same shape or direction and cannot be transformed into one another by any algebraic operation.

How can you tell if two functions are linearly independent?

To determine if two functions are linearly independent, you can use the Wronskian test. This involves calculating the Wronskian, which is a determinant of the two functions and their derivatives. If the Wronskian is non-zero at a given point, then the functions are linearly independent at that point.

Can two linearly dependent functions have the same slope?

Yes, two linearly dependent functions can have the same slope. The key factor in determining linear independence is the direction or shape of the functions, not just their slope. For example, two lines with the same slope but different y-intercepts are still considered linearly independent.

What is the significance of linear independence in linear algebra?

In linear algebra, linear independence is a fundamental concept that is used to understand the relationship between vectors and matrices. Linearly independent vectors form the basis of a vector space and are crucial in solving systems of linear equations. They also play a critical role in topics such as eigenvectors, diagonalization, and determinants.

Can more than two functions be linearly independent?

Yes, more than two functions can be linearly independent. In fact, any number of functions can be linearly independent as long as none of the functions can be expressed as a linear combination of the others. This is known as the general definition of linear independence.

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