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For example, since
This example suggests how square roots can arise when solving quadratic equations such as or, more generally
There are two solutions to the square root of a non-zero number. For a positive real number, the two square roots are the principle square root and the negative square root. For negative real numbers, the concept of imaginary and complex numbers has been developed to provide a mathematical framework to deal with the results.
Square roots of positive integers are often irrational numbers, i.e., numbers not expressible as a ratio of two integers. For example, cannot be written exactly as m/n, where n and m are integers. Nonetheless, it is exactly the length of the diagonal of a square with side length 1.
Properties[edit | edit source]
- The principal square root function is a function which maps the set of non-negative real numbers onto itself.
- The principal square root function always returns a unique value.
- To obtain both roots of a positive number, take the value given by the principal square root function as the first root (root1) and obtain the second root (root2) by subtracting the first root from zero (ie root2 = 0 - root1).
- The following important properties of the square root functions are valid for all positive real numbers and :
- The square root function maps rational numbers to algebraic numbers; also, is rational if and only if is a rational number which, after cancelling, is a ratio of two perfect squares. In particular, is irrational.
- Contrary to popular belief, does not necessarily equal . The equality holds for non-negative , but when , is positive by definition, and thus . Therefore, for real (see absolute value).
- Suppose that and are reals, and that , and we want to find . A common mistake is to "take the square root" and deduce that . This is incorrect, because the principal square root of is not , but the absolute value , one of our above rules. Thus, all we can conclude is that , or equivalently .
- In calculus, for instance when proving that the square root function is continuous or differentiable, or when computing certain limits, the following identity often comes handy:
- valid for all non-negative numbers and which are not both zero.
- The function has the following graph, made up of half a parabola lying on its side:
- The function is continuous for all non-negative and differentiable for all positive (it is not differentiable for since the slope of the tangent there is ∞). Its derivative is given by
- for .
Computation[edit | edit source]
There are numerous methods to compute square roots. See the article on methods of computing square roots.
Square roots of complex numbers[edit | edit source]
To every non-zero complex number z there exist precisely two numbers w such that w2 = z. The usual definition of √z is as follows: if z = r exp(iφ) is represented in polar coordinates with -π < φ ≤ π, then we set √z = √r exp(iφ/2). Thus defined, the square root function is holomorphic everywhere except on the non-positive real numbers (where it isn't even continuous). The above Taylor series for √(1+x) remains valid for complex numbers x with |x| < 1.
When the number is in rectangular form the following formula can be used:
where the sign of the imaginary part of the root is the same as the sign of the imaginary part of the original number.
Note that because of the discontinuous nature of the square root function in the complex plane, the law √(zw) = √(z)√(w) is in general not true. Wrongly assuming this law underlies several faulty "proofs", for instance the following one showing that -1 = 1:
The third equality cannot be justified. (See invalid proof.)
However the law can only be wrong by a factor -1 (it is right up to a factor -1), √(zw) = ±√(z)√(w), is true for either ± as + or as - (but not both at the same time). Note that √(c2) = ±c, therefore √(a2b2) = ±ab and therefore √(zw) = ±√(z)√(w), using a = √(z) and b = √(w).
Square roots of matrices and operators[edit | edit source]
- Main article: square root of a matrix
If A is a positive-definite matrix or operator, then there exists precisely one positive definite matrix or operator B with B2 = A; we then define √A = B.
More generally, to every normal matrix or operator A there exist normal operators B such that B2 = A. In general, there are several such operators B for every A and the square root function cannot be defined for normal operators in a satisfactory manner. Positive definite operators are akin to positive real numbers, and normal operators are akin to complex numbers.
Infinitely nested square roots[edit | edit source]
Under certain conditions infinitely nested radicals such as
represent rational numbers. This rational number can be found by realizing that x also appears under the radical sign, which gives the equation
If we solve this equation, we find that x = 2. More generally, we find that
Beware, however, of the discontinuity for n=0. The infinitely nested square root for n=0 does not equal one, as the "general" solution would indicate. Rather, it is (obviously) zero.
The same procedure also works to get
This method will give a rational value for all values of such that
Square roots of the first 20 positive integers[edit | edit source]
√Template:Overline = 1
√Template:Overline ≈ 1.4142135623 7309504880 1688724209 6980785696 7187537694 8073176679 7379907324 78462
√Template:Overline ≈ 1.7320508075 6887729352 7446341505 8723669428 0525381038 0628055806 9794519330 16909
√Template:Overline = 2
√Template:Overline ≈ 2.2360679774 9978969640 9173668731 2762354406 1835961152 5724270897 2454105209 25638
√Template:Overline ≈ 2.4494897427 8317809819 7284074705 8913919659 4748065667 0128432692 5672509603 77457
√Template:Overline ≈ 2.6457513110 6459059050 1615753639 2604257102 5918308245 0180368334 4592010688 23230
√Template:Overline ≈ 2.8284271247 4619009760 3377448419 3961571393 4375075389 6146353359 4759814649 56924
√Template:Overline = 3
√Template:Overline ≈ 3.1622776601 6837933199 8893544432 7185337195 5513932521 6826857504 8527925944 38639
√Template:Overline ≈ 3.3166247903 5539984911 4932736670 6866839270 8854558935 3597058682 1461164846 42609
√Template:Overline ≈ 3.4641016151 3775458705 4892683011 7447338856 1050762076 1256111613 9589038660 33818
√Template:Overline ≈ 3.6055512754 6398929311 9221267470 4959462512 9657384524 6212710453 0562271669 48293
√Template:Overline ≈ 3.7416573867 7394138558 3748732316 5493017560 1980777872 6946303745 4673200351 56307
√Template:Overline ≈ 3.8729833462 0741688517 9265399782 3996108329 2170529159 0826587573 7661134830 91937
√Template:Overline = 4
√Template:Overline ≈ 4.1231056256 1766054982 1409855974 0770251471 9922537362 0434398633 5730949543 46338
√Template:Overline ≈ 4.2426406871 1928514640 5066172629 0942357090 1562613084 4219530039 2139721974 35386
√Template:Overline ≈ 4.3588989435 4067355223 6981983859 6156591370 0392523244 4936890344 1381595573 28203
√Template:Overline ≈ 4.4721359549 9957939281 8347337462 5524708812 3671922305 1448541794 4908210418 51276
Geometric construction of the square root[edit | edit source]
You can construct a square root with a compass and straightedge. This has been known at least since the time of the Pythagoreans. in his Elements, Euclid (fl. 300 BC) gave the construction of the geometric mean of two quantities in two different places: Proposition II.14 and Proposition VI.13. Since the geomteric mean of and is , you can construct simply by taking .
See also[edit | edit source]
- Quadratic residue
- Radical (mathematics)
- Quadratic irrational
- Cube root
- Integer square root
- Root of unity
- Methods of computing square roots
- Square root of a matrix
[edit | edit source]
- Japanese soroban techniques - Professor Fukutaro Kato's method
- Japanese soroban techniques - Takashi Kojima's method
- Algorithms, implementations, and more - Paul Hsieh's square roots webpage
- Square root of positive real numbers with implementation in Rexx.
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