Linearly independence using Wronskian?

Click For Summary

Discussion Overview

The discussion revolves around demonstrating the linear independence of the functions 1, x, x², ..., x^(n-1) for n > 1 using the Wronskian. The focus is on the mathematical reasoning and steps required to establish this property.

Discussion Character

  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant suggests that the Wronskian being non-zero at least at one point implies linear independence, but expresses uncertainty about how to properly show it.
  • Another participant clarifies that to prove linear independence, the Wronskian must be shown to be never zero for all x, and proposes proving that it is the determinant of an upper triangular matrix with specific diagonal entries.
  • A similar point is reiterated by another participant, emphasizing the need to compute the determinant of the Wronskian matrix to conclude linear independence.
  • One participant notes that either by computing the Wronskian or recognizing the upper triangular nature of the matrix with non-zero diagonal entries, one can deduce that the Wronskian is non-zero for all x.

Areas of Agreement / Disagreement

Participants generally agree on the approach of using the Wronskian to demonstrate linear independence, but there is no consensus on the specific steps or methods to be used in the proof.

Contextual Notes

Some participants mention the need to compute the determinant and the implications of the matrix structure, but the discussion does not resolve the exact method or assumptions required for the proof.

Cadbury
Messages
11
Reaction score
0
Hi, so I am given this problem:

Using the Wronskian, show that 1, x, x^2,..., x^(n-1) for n>1 are linearly independent.

The wronskian is not zero for at least one value in the interval so it is linearly independent, I just do not know how to show it properly.Thank you! :D
 
Physics news on Phys.org
Hi Cadbury,

Linear independence of a set of functions $f_1(x),\ldots, f_n(x)$ means that for every $x$ (not just a particular $x$), $f_1(x),\ldots, f_n(x)$ is linearly independent. To show that $1,x,\ldots, x^{n-1}$ is linearly independent using the Wronskian, you must show that the Wronskian $W(1,x,\ldots, x^{n-1})$ is never zero. Prove that $W(1,x,\ldots, x^{n-1})$ is the determinant of an upper triangular $n\times n$ matrix whose $j$th diagonal entry is $(j-1)!$. Explain why this implies $W(1,x,\ldots, x^{n-1})$ is never zero.
 
Euge said:
Hi Cadbury,

Linear independence of a set of functions $f_1(x),\ldots, f_n(x)$ means that for every $x$ (not just a particular $x$), $f_1(x),\ldots, f_n(x)$ is linearly independent. To show that $1,x,\ldots, x^{n-1}$ is linearly independent using the Wronskian, you must show that the Wronskian $W(1,x,\ldots, x^{n-1})$ is never zero. Prove that $W(1,x,\ldots, x^{n-1})$ is the determinant of an upper triangular $n\times n$ matrix whose $j$th diagonal entry is $(j-1)!$. Explain why this implies $W(1,x,\ldots, x^{n-1})$ is never zero.
so, i can just show a matrix then find the determinant and then it is done? :) Thank you!
 
Well, either by computing the Wronskian (getting a value of $2! 3!\cdots (n-1)!$) or by noting that the Wronskian matrix is upper triangular with nonzero diagonal entries (hence invertible), you deduce that $W(1,x,\ldots x^{n-1}) \neq 0$ for all $x$, which shows that $1,x,\ldots, x^{n-1}$ is linearly independent.
 

Similar threads

  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
2
Views
1K
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K