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Completing the square

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Duration: 1 minute and 9 seconds.
Animation depicting the process of completing the square. (Details, animated GIF version)

In elementary algebra, completing the square is a technique for converting a quadratic polynomial of the form to the form for some values of h and k.

In other words, completing the square places a perfect square trinomial inside of a quadratic expression.

Completing the square is used in

In mathematics, completing the square is often applied in any computation involving quadratic polynomials.

History

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The technique of completing the square was known in the Old Babylonian Empire.[4]

Muhammad ibn Musa Al-Khwarizmi, a famous polymath who wrote the early algebraic treatise Al-Jabr, used the technique of completing the square to solve quadratic equations.[5]

Overview

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Background

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The formula in elementary algebra for computing the square of a binomial is:

For example:

In any perfect square, the coefficient of x is twice the number p, and the constant term is equal to p2.

Basic example

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Consider the following quadratic polynomial:

This quadratic is not a perfect square, since 28 is not the square of 5:

However, it is possible to write the original quadratic as the sum of this square and a constant:

This is called completing the square.

General description

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Given any monic quadratic it is possible to form a square that has the same first two terms:

This square differs from the original quadratic only in the value of the constant term. Therefore, we can write where . This operation is known as completing the square. For example:

Non-monic case

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Given a quadratic polynomial of the form it is possible to factor out the coefficient a, and then complete the square for the resulting monic polynomial.

Example: This process of factoring out the coefficient a can further be simplified by only factorising it out of the first 2 terms. The integer at the end of the polynomial does not have to be included.

Example:

This allows the writing of any quadratic polynomial in the form

Formula

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Scalar case

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The result of completing the square may be written as a formula. In the general case, one has[6] with

In particular, when a = 1, one has with

By solving the equation in terms of and reorganizing the resulting expression, one gets the quadratic formula for the roots of the quadratic equation:

Matrix case

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The matrix case looks very similar: where and . Note that has to be symmetric.

If is not symmetric the formulae for and have to be generalized to:

Relation to the graph

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Graphs of quadratic functions shifted to the right by h = 0, 5, 10, and 15.
Graphs of quadratic functions shifted to the right by h = 0, 5, 10, and 15.
Graphs of quadratic functions shifted upward by k = 0, 5, 10, and 15.
Graphs of quadratic functions shifted upward by k = 0, 5, 10, and 15.
Graphs of quadratic functions shifted upward and to the right by 0, 5, 10, and 15.
Graphs of quadratic functions shifted upward and to the right by 0, 5, 10, and 15.

In analytic geometry, the graph of any quadratic function is a parabola in the xy-plane. Given a quadratic polynomial of the form the numbers h and k may be interpreted as the Cartesian coordinates of the vertex (or stationary point) of the parabola. That is, h is the x-coordinate of the axis of symmetry (i.e. the axis of symmetry has equation x = h), and k is the minimum value (or maximum value, if a < 0) of the quadratic function.

One way to see this is to note that the graph of the function f(x) = x2 is a parabola whose vertex is at the origin (0, 0). Therefore, the graph of the function f(xh) = (xh)2 is a parabola shifted to the right by h whose vertex is at (h, 0), as shown in the top figure. In contrast, the graph of the function f(x) + k = x2 + k is a parabola shifted upward by k whose vertex is at (0, k), as shown in the center figure. Combining both horizontal and vertical shifts yields f(xh) + k = (xh)2 + k is a parabola shifted to the right by h and upward by k whose vertex is at (h, k), as shown in the bottom figure.

Solving quadratic equations

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Completing the square may be used to solve any quadratic equation. For example:

The first step is to complete the square:

Next we solve for the squared term:

Then either and therefore

This can be applied to any quadratic equation. When the x2 has a coefficient other than 1, the first step is to divide out the equation by this coefficient: for an example see the non-monic case below.

Irrational and complex roots

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Unlike methods involving factoring the equation, which is reliable only if the roots are rational, completing the square will find the roots of a quadratic equation even when those roots are irrational or complex. For example, consider the equation

Completing the square gives so Then either

In terser language: so

Equations with complex roots can be handled in the same way. For example:

Non-monic case

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For an equation involving a non-monic quadratic, the first step to solving them is to divide through by the coefficient of x2. For example:

Applying this procedure to the general form of a quadratic equation leads to the quadratic formula.

Other applications

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Integration

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Completing the square may be used to evaluate any integral of the form using the basic integrals

For example, consider the integral

Completing the square in the denominator gives:

This can now be evaluated by using the substitution u = x + 3, which yields

Complex numbers

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Consider the expression where z and b are complex numbers, z* and b* are the complex conjugates of z and b, respectively, and c is a real number. Using the identity |u|2 = uu* we can rewrite this as which is clearly a real quantity. This is because

As another example, the expression where a, b, c, x, and y are real numbers, with a > 0 and b > 0, may be expressed in terms of the square of the absolute value of a complex number. Define

Then so

Idempotent matrix

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A matrix M is idempotent when M2 = M. Idempotent matrices generalize the idempotent properties of 0 and 1. The completion of the square method of addressing the equation shows that some idempotent 2×2 matrices are parametrized by a circle in the (a,b)-plane:

The matrix will be idempotent provided which, upon completing the square, becomes In the (a,b)-plane, this is the equation of a circle with center (1/2, 0) and radius 1/2.

Geometric perspective

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Consider completing the square for the equation

Since x2 represents the area of a square with side of length x, and bx represents the area of a rectangle with sides b and x, the process of completing the square can be viewed as visual manipulation of rectangles.

Simple attempts to combine the x2 and the bx rectangles into a larger square result in a missing corner. The term (b/2)2 added to each side of the above equation is precisely the area of the missing corner, whence derives the terminology "completing the square".[7]

A variation on the technique

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As conventionally taught, completing the square consists of adding the third term, v2 to to get a square. There are also cases in which one can add the middle term, either 2uv or −2uv, to to get a square.

Example: the sum of a positive number and its reciprocal

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By writing we show that the sum of a positive number x and its reciprocal is always greater than or equal to 2. The square of a real expression is always greater than or equal to zero, which gives the stated bound; and here we achieve 2 just when x is 1, causing the square to vanish.

Example: factoring a simple quartic polynomial

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Consider the problem of factoring the polynomial

This is so the middle term is 2(x2)(18) = 36x2. Thus we get (the last line being added merely to follow the convention of decreasing degrees of terms).

The same argument shows that is always factorizable as (Also known as Sophie Germain's identity).

Completing the cube

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"Completing the square" consists to remark that the two first terms of a quadratic polynomial are also the first terms of the square of a linear polynomial, and to use this for expressing the quadratic polynomial as the sum of a square and a constant.

Completing the cube is a similar technique that allows to transform a cubic polynomial into a cubic polynomial without term of degree two.

More precisely, if

is a polynomial in x such that its two first terms are the two first terms of the expanded form of

So, the change of variable

provides a cubic polynomial in without term of degree two, which is called the depressed form of the original polynomial.

This transformation is generally the first step of the mehods for solving the general cubic equation.

More generally, a similar transformation can be used for removing terms of degree in polynomials of degree , which is called Tschirnhaus transformation.

References

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  1. ^ Dionissios T. Hristopulos (2020). Random Fields for Spatial Data Modeling: A Primer for Scientists and Engineers. Springer Nature. p. 267. ISBN 978-94-024-1918-4. Extract of page 267
  2. ^ James R. Brannan; William E. Boyce (2015). Differential Equations: An Introduction to Modern Methods and Applications (3rd ed.). John Wiley & Sons. p. 314. ISBN 978-1-118-98122-1. Extract of page 314
  3. ^ Stephen L. Campbell; Richard Haberman (2011). Introduction to Differential Equations with Dynamical Systems (illustrated ed.). Princeton University Press. p. 214. ISBN 978-1-4008-4132-5. Extract of page 214
  4. ^ Tony Philips, "Completing the Square", American Mathematical Society Feature Column, 2020.
  5. ^ Hughes, Barnabas. "Completing the Square - Quadratics Using Addition". Math Association of America. Retrieved 2022-10-21.
  6. ^ Narasimhan, Revathi (2008). Precalculus: Building Concepts and Connections. Cengage Learning. pp. 133–134. ISBN 978-0-618-41301-0., Section Formula for the Vertex of a Quadratic Function, page 133–134, figure 2.4.8
  7. ^ Carroll, Maureen T.; Rykken, Elyn (2018). Geometry: The Line and the Circle. AMS/MAA Textbooks. American Mathematical Society. p. 162. ISBN 978-1-4704-4843-1. Retrieved 2024-03-31.
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