Calculating Nth Root of Vector: Non-Integer Solutions

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Homework Help Overview

The discussion revolves around the calculation of the nth root of a vector, specifically when n is not an integer. Participants are exploring the definitions and operations involved in vector exponentiation and multiplication.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning the definitions of multiplication and exponentiation in the context of vectors. There is a focus on understanding how to define and calculate the square root of a vector, particularly in terms of matrix operations and dimensions.

Discussion Status

The discussion is active, with participants seeking clarification on the definitions and operations involved. There is an emphasis on the need for a clear understanding of the multiplication method being used before proceeding with the concept of roots of vectors.

Contextual Notes

Participants note the importance of specifying the definition of "square root of a vector" and the constraints of matrix dimensions in vector operations. There is an acknowledgment that traditional definitions may not apply directly to vectors in the same way they do for scalars.

sue132
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Could someone please explain how to calculate the nth root of a vector, where n is not an integer?
 
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Hey sue132 and welcome to the forums.

What do you mean? Let's say you calculate y = v^n. What is the definition of multiplication you are using (or the definition for exponentiation if you are using that)?
 
Thanks for the reply, Chiro. What I meant was : if I have a column vector, say v, of length n, then how do I go about calculating v^(1/2) or v(-1/2)?

I should be able to get a vector, say x=v^1/2 such that I get v back when I do x*x. Is this right? If v is a column vector of dimension nX1, then x should be of dimension 1*n. Is this right?
 
You need to answer the question chiro asked, first. What kind of "multiplication" are you using? You have to have a square before you can talk about a square root! There are two different ways to multiply a vector by a vector in three dimensions: the dot product of a vector with itself gives a number (the square of the length of the vector) not a vector so there is no square root in that sense. The cross product of a vector with itself is always the 0 vector so there is no square root of a vector in that sense.

You talk about writing the vector as a column matrix so perhaps you are talking about matrix multiplication. But you multiply an "m by n" matrix by an "n by p" matrix- the number of columns of the first matrix has to be the same as the same as the number of rows of the second matrix and that is not possible for an "n by 1" matrix multiplied by itself. Some texts define the square of a column matrix as the product of the matrix with its transpose- but that gives a number (strictly speaking a "one by one matrix"), so that is equivalent to the dot product, and there is, again, no "square root" of a vector.

That is why we do NOT in general define the "square root of a vector". If you have been given a problem that asks you to find the square root of a vector, you are going to have to tell us what definition of "square root of a vector" you are using.
 
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