nLab
square root

Square roots

Definitions

If K is a monoid (which we write multiplicatively) and x is an element of K, then the element x 2 is the square of K. Conversely, if x 2=y, then x is a square root of y.

If K is an integral domain, then (in classical mathematics) x and x are the only square roots of x 2. If y has a square root, then we often denote its square roots together as ±y, although there is no meaning of y itself.

If K is a linearly ordered field, then every element y has a unique nonnegative square root if it has a square root at all; this is the principal square root of y and denoted y.

In constructive analysis

In constructive mathematics, we cannot prove that x and x are the only square roots of x 2. In the ordered field of real numbers, for example, the absolute value x (like x, for that matter) is also a square root of x 2, yet we cannot constructively prove that x=x or x=x. Without using the lesser limited principle of omniscience, if x is close to zero (and we do not yet know whether it is exactly zero), we cannot decide whether x is nonnegative (so that x=x) or nonpositive (so that x=x).

However, in any linearly ordered field with an absolute value (including any real-closed field), we still have a unique nonnegative square root of x 2, which is in fact x. Thus, we can still use the notation y, but we cannot prove that every square root of y is one of ±y. However, we can prove, in any integral domain even, that if xy and xy, then x 2y. (We are using the weak notions of field and integral domain so that will be an example.)

If we accept results in the complex numbers (or in K[i] for K any real-closed field), then every element of K has a square root. Even if y is close to zero, we can still use

yy+y2+yy2i\sqrt{y} \coloneqq \sqrt{\frac{{|y|} + y}2} + \sqrt{\frac{{|y|} - y}2}\mathrm{i}

to construct a square root of y. However, we cannot prove that every complex number has a square root in the internal language of an aribtrary W-topos, although weak countable choice is enough to prove this. (See Richman (1998).) A counterexample is the topos of sheaves on the real line, since there is no continuous function :U for U any neighbourhood of 0 in . This is important for interpreting the quadratic formula.

How much choice is needed to prove that every element of K[i] has a square root, where K is any real-closed field? Maybe COSHEP will do?

Note that there is never any trouble finding a square root of y if we assume that y0, nor (obviously) is there any trouble if we assume that y=0. Accordingly, the classical results hold for discrete fields, but this doesn't apply constructively to analysis.

References

Revised on December 1, 2010 06:12:44 by Toby Bartels (75.88.76.116)