What are Imaginary Numbers used for in mathematics?

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Discussion Overview

The discussion centers around the applications and significance of imaginary numbers in mathematics, exploring their use in various fields such as algebra, engineering, and physics. Participants examine both theoretical and practical implications of imaginary numbers, including their role in polynomial equations and complex functions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants mention the fundamental theorem of algebra, which states that every polynomial equation of degree n has exactly n roots, including complex roots.
  • Others argue that complex functions are essential in quantum theory and classical electromagnetic theory for describing solutions to equations.
  • It is proposed that in electrical engineering, imaginary numbers can simplify calculations involving sine and cosine functions.
  • One participant describes imaginary numbers as a logical extension of real numbers, emphasizing their role in solving polynomial equations and the nature of complex roots.
  • Examples of applications include using De Moivre's theorem for simplifying trigonometric derivations and extending transcendental functions through complex numbers.
  • Vector mathematics is discussed, with complex numbers represented as vectors on an Argand diagram, allowing for operations similar to those with normal vectors.
  • Matrix representations of hypercomplex numbers and quaternions are mentioned as extensions of vector mathematics.
  • In number theory, the concept of Gaussian integers is introduced, along with its relevance to the Riemann hypothesis and the distribution of primes.
  • Concrete applications in physics are noted, such as the use of complex numbers as phasors in AC circuit analysis and the concept of imaginary time in theoretical physics.

Areas of Agreement / Disagreement

Participants present multiple competing views on the applications of imaginary numbers, and the discussion remains unresolved regarding the full extent and implications of these applications.

Contextual Notes

Some limitations include the dependence on definitions of imaginary and complex numbers, as well as the unresolved nature of certain mathematical concepts mentioned, such as the Riemann hypothesis.

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I have a very simple question.
What are Imaginary Numbers (i.e. [tex]\sqrt[4]{-16}=2\mbox{i}[/tex]) used for in mathematics besides negetive roots with an even index?
Thank you in advance...

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For starters, there is a fundamental theorem of algebra which says every polynomial equation of degree n has exactly n roots. These roots are in general complex (real plus imaginary).

In quantum theory, as well as classical em theory, complex functions are used to describe the solutions of the equations.
 
In EE, sine and cosine function can replace by imaginary number, which can make the calculation looks simpler
 
Imaginary numbers are just a logical extension of the real numbers a sort of mirror image of them. Complex numbers come about when you add reals to imaginary numbers.

Example of uses :

1) Solving polynomial equations. Every polynomial equation of degree n with integral coefficients will have exactly n solutions (some of which may be repeated roots). Those n roots can be all real, all imaginary/complex or a combination of real and complex roots. The complex roots will always come in conjugate pairs meaning : if [itex]a + bi[/itex] is a root, then [itex]a - bi[/itex] will be as well. Related to solution of polynomial equations, we have applications like finding the nth roots of unity, which you can read about. For instance, the cube root of one can have 3 values : 1, and a complex conjugate pair.

2) Simplifying various derivations : for example in finding a general form for [itex]\sin n\theta[/itex] or [itex]\cos n\theta[/itex] one can use De Moivre's theorem and the binomial expansion to get the expression much more easily.

3) Extending various transcendental functions : The logarithms of natural numbers can be expressed as complex numbers, based on Euler's theorem : [itex]e^{i\pi} = -1[/itex]. Trigonometry can be extended beyond the usual domains by using complex numbers. By definition, [itex]\cos ix = \cosh x[/itex] and [itex]\sin ix = i\sinh x[/itex]. For instance arccos (2) can be computed as a complex number (actually a pure imaginary number in this case), even though you might have learned in school that the range for cosine only extends to a maximum of magnitude one.

4) Vector mathematics : A complex number can be represented as a vector on an Argand diagram, and everything that can be done in "normal" vectors can be done with a complex number representation.

5) Matrices : As an extension of vectors above, Hamilton came up with "hypercomplex numbers" and "quaternions" which are represented by square matrices.

6) Number theory : An extension of the integers are the "Gaussian integers" which use integers in the real and imaginary parts of the number. The Riemann hypothesis (which if true would have implications for the distribution of primes) uses an extension of the zeta function with complex powers.

Those are the applications that I can think of in Math. In Physics, there are various concrete applications as well : for e.g. viewing the complex number as a "phasor" is helpful in a.c. circuit analysis and wave theory (optics, electromagnetic theory). Theoretical physics uses constructs like "imaginary time", for e.g. Einstein's relativity theory uses "Minkowski space" which has an imaginary term in the time coordinate.
 
Last edited:
Thanks to all of you for your input... I understand Imaginary Numbers much more clearly now.

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