What is the flaw in defining i as the square root of -1?

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In summary, the flaw in the given equation is that operations with square roots are only defined for positive numbers. Additionally, when taking the square root of a number, it will always be non-negative. Defining i as the square root of -1 is logically incorrect as every number (except 0) has two square roots and this does not specify which one i is. The most logical way to handle this is to define the complex numbers as ordered pairs of real numbers and represent them as a+bi. With this definition, paradoxes like the one given do not occur.
  • #1
Diffy
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sqrt(-1) = (-1)^(1/2) = = (-1)^(2/4) = ((-1)^2)^(1/4)) = 1^(1/4) = 1


Can someone explain the flaw to me?
 
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  • #2
Well i think that the flaw here is that the operatios with square roots are defined only for positive numbers, so basically when you went from sqrt(-1) = (-1)^(1/2) to (-1)^(2/4), i think is not correct.
 
  • #3
You wrote 1^(1/4) = 1, but this is not well-defined because there are four numbers whose fourth power is 1, namely {1, -1, i, -i}. This is like saying (-2)^2 = 4 and sqrt(4) = 2, hence 2=-2.
 
  • #4
Diffy said:
sqrt(-1) = (-1)^(1/2) = = (-1)^(2/4) = ((-1)^2)^(1/4)) = 1^(1/4) = 1


Can someone explain the flaw to me?

No, you can't do that, when writing: [tex]\alpha ^ {\frac{b}{c}}[/tex]

Then b, and c must be relatively prime, i.e their GCD must be 1.

When you square something, it's always non-negative, and when you square (cube, or forth,...) root it, it's still non-negative. This is where the error lies.

It's the same as:

[tex]\sqrt[3]{-1} = (-1) ^ {\frac{1}{3}} = (-1) ^ {\frac{2}{6}} = \sqrt[6]{{\color{red}(-1) ^ 2}} = 1[/tex], which is clearly false.
 
  • #5
looks like there are multiple reasons. Thanks everyone.
 
  • #6
looks like masnevets made the most sense out of it.
 
  • #7
In fact, defining i as "[itex]\sqrt{-1}[/itex]", while a convenient mnemonic, is logically incorrect- every number (except 0) has two square roots and this doesn't specify which square root of -1 i is. In the real number system, we don't have to worry about that since we can specify the square root as being the positive root. Since the complex numbers is not an ordered field we can't do that. That's even more obvious where you see i "defined" by "i2= -1". Such an equation has two roots. Which one is i?

The most logical way of handling that is to define the complex numbers as ordered pairs of real numbers: (a, b) and definining (a, b)+ (c, d)= (a+ c,We can, then, say that by (a, b) is "represented" That way, we have immediately that (0, 1)2= (0, 1)(0, 1)= (-1, 0). It is also true that (0, -1)2= (0, -1)(0, -1)= (-1, 0) but now we can distinguish between those two numbers. We can, then represent (a, b) as a(1, 0)+ b(0,1)= a+ bi by representing (1, 0) by 1 and (0, 1) by i.

With those definitions "paradoxes" like the one given here do not occur.
 

FAQ: What is the flaw in defining i as the square root of -1?

What does "flaw" mean in this context?

In this context, "flaw" refers to an error or imperfection in a design, experiment, or idea that can lead to incorrect or unreliable results.

How do I identify a flaw in my experiment or research?

To identify a flaw, you should carefully analyze your methods, data, and results. Look for any inconsistencies, biases, or errors that could have affected the outcome. It can also be helpful to have another person review your work to provide a fresh perspective.

Can a flaw in my research be fixed?

Yes, a flaw can often be fixed by making adjustments to your methods or addressing any errors that were made. However, if the flaw is fundamental and cannot be corrected, it may be necessary to start over or modify your approach.

How can a flaw impact the validity of my results?

A flaw can greatly impact the validity of your results by introducing bias or inaccuracies. This can lead to unreliable conclusions and potentially harm the credibility of your research.

How can I avoid flaws in my future scientific work?

To avoid flaws, it is important to carefully plan and design your experiments or research studies. This includes properly controlling variables, using reliable and valid measures, and thoroughly analyzing your data. It is also important to be aware of potential biases and to regularly review and critique your work.

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