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Quadratic function

From Wikipedia, the free encyclopedia
Polynomial function of degree two
Not to be confused withQuartic function.

Inmathematics, aquadratic function of a singlevariable is afunction of the form[1]

f(x)=ax2+bx+c,a0,{\displaystyle f(x)=ax^{2}+bx+c,\quad a\neq 0,}

wherex{\displaystyle x} is its variable, anda{\displaystyle a},b{\displaystyle b}, andc{\displaystyle c} arecoefficients. Theexpressionax2+bx+c{\displaystyle \textstyle ax^{2}+bx+c}, especially when treated as anobject in itself rather than as a function, is aquadratic polynomial, apolynomial of degree two. Inelementary mathematics a polynomial and its associatedpolynomial function are rarely distinguished and the termsquadratic function andquadratic polynomial are nearly synonymous and often abbreviated asquadratic.

A quadratic polynomial with tworeal roots (crossings of thex axis).

Thegraph of areal single-variable quadratic function is aparabola. If a quadratic function isequated with zero, then the result is aquadratic equation. The solutions of a quadratic equation are thezeros (orroots) of the corresponding quadratic function, of which there can be two, one, or zero. The solutions are described by thequadratic formula.

A quadratic polynomial or quadratic function can involve more than one variable. For example, a two-variable quadratic function of variablesx{\displaystyle x} andy{\displaystyle y} has the form

f(x,y)=ax2+bxy+cy2+dx+ey+f,{\displaystyle f(x,y)=ax^{2}+bxy+cy^{2}+dx+ey+f,}

with at least one ofa{\displaystyle a},b{\displaystyle b}, andc{\displaystyle c} not equal to zero. In general the zeros of such a quadratic function describe aconic section (acircle or otherellipse, aparabola, or ahyperbola) in thex{\displaystyle x}y{\displaystyle y} plane. A quadratic function can have an arbitrarily large number of variables. The set of its zero form aquadric, which is asurface in the case of three variables and ahypersurface in general case.

Etymology

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The adjectivequadratic comes from theLatin wordquadrātum ("square"). A term raised to the second power likex2{\displaystyle \textstyle x^{2}} is called asquare in algebra because it is the area of asquare with sidex{\displaystyle x}.

Terminology

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Coefficients

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Thecoefficients of a quadratic function are often taken to bereal orcomplex numbers, but they may be taken in anyring, in which case thedomain and thecodomain are this ring (seepolynomial evaluation).

Degree

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When using the term "quadratic polynomial", authors sometimes mean "having degree exactly 2", and sometimes "having degree at most 2". If the degree is less than 2, this may be called a "degenerate case". Usually the context will establish which of the two is meant.

Sometimes the word "order" is used with the meaning of "degree", e.g. a second-order polynomial. However, where the "degree of a polynomial" refers to thelargest degree of a non-zero term of the polynomial, more typically "order" refers to thelowest degree of a non-zero term of apower series.

Variables

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A quadratic polynomial may involve a singlevariablex (theunivariate case), or multiple variables such asx,y, andz (the multivariate case).

The one-variable case

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Any single-variable quadratic polynomial may be written as

ax2+bx+c,{\displaystyle ax^{2}+bx+c,}

wherex is the variable, anda,b, andc represent thecoefficients. Such polynomials often arise in aquadratic equationax2+bx+c=0.{\displaystyle ax^{2}+bx+c=0.} The solutions to this equation are called theroots and can be expressed in terms of the coefficients as thequadratic formula. Each quadratic polynomial has an associated quadratic function, whosegraph is aparabola.

Bivariate and multivariate cases

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Any quadratic polynomial with two variables may be written as

ax2+by2+cxy+dx+ey+f,{\displaystyle ax^{2}+by^{2}+cxy+dx+ey+f,}

wherex andy are the variables anda,b,c,d,e,f are the coefficients, and one ofa,b andc is nonzero. Such polynomials are fundamental to the study ofconic sections, as theimplicit equation of a conic section is obtained by equating to zero a quadratic polynomial, and thezeros of a quadratic function form a (possibly degenerate) conic section.

Similarly, quadratic polynomials with three or more variables correspond toquadric surfaces orhypersurfaces.

Quadratic polynomials that have only terms of degree two are calledquadratic forms.

Forms of a univariate quadratic function

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A univariate quadratic function can be expressed in three formats:[2]

The coefficienta is the same value in all three forms. To convert thestandard form tofactored form, one needs only thequadratic formula to determine the two rootsr1 andr2. To convert thestandard form tovertex form, one needs a process calledcompleting the square. To convert the factored form (or vertex form) to standard form, one needs to multiply, expand and/or distribute the factors.

Graph of the univariate function

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f(x)=ax2|a{0.1,0.3,1,3}{\displaystyle f(x)=ax^{2}|_{a\in \{0.1,0.3,1,3\}}}
f(x)=x2+bx|b{1,2,3,4}{\displaystyle f(x)=x^{2}+bx|_{b\in \{1,2,3,4\}}}
f(x)=x2+bx|b{1,2,3,4}{\displaystyle f(x)=x^{2}+bx|_{b\in \{-1,-2,-3,-4\}}}

Regardless of the format, the graph of a univariate quadratic functionf(x)=ax2+bx+c{\displaystyle f(x)=ax^{2}+bx+c} is aparabola (as shown at the right). Equivalently, this is the graph of the bivariate quadratic equationy=ax2+bx+c{\displaystyle y=ax^{2}+bx+c}.

  • Ifa > 0, the parabola opens upwards.
  • Ifa < 0, the parabola opens downwards.

The coefficienta controls the degree of curvature of the graph; a larger magnitude ofa gives the graph a more closed (sharply curved) appearance.

The coefficientsb anda together control the location of the axis of symmetry of the parabola (also thex-coordinate of the vertex and theh parameter in the vertex form) which is at

x=b2a.{\displaystyle x=-{\frac {b}{2a}}.}

The coefficientc controls the height of the parabola; more specifically, it is the height of the parabola where it intercepts they-axis.

Vertex

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Thevertex of a parabola is the place where it turns; hence, it is also called theturning point. If the quadratic function is in vertex form, the vertex is(h,k). Using the method of completing the square, one can turn the standard form

f(x)=ax2+bx+c{\displaystyle f(x)=ax^{2}+bx+c}

into

f(x)=ax2+bx+c=a(xh)2+k=a(xb2a)2+(cb24a),{\displaystyle {\begin{aligned}f(x)&=ax^{2}+bx+c\\&=a(x-h)^{2}+k\\&=a\left(x-{\frac {-b}{2a}}\right)^{2}+\left(c-{\frac {b^{2}}{4a}}\right),\\\end{aligned}}}

so the vertex,(h,k), of the parabola in standard form is

(b2a,cb24a).{\displaystyle \left(-{\frac {b}{2a}},c-{\frac {b^{2}}{4a}}\right).}[3]

If the quadratic function is in factored form

f(x)=a(xr1)(xr2){\displaystyle f(x)=a(x-r_{1})(x-r_{2})}

the average of the two roots, i.e.,

r1+r22{\displaystyle {\frac {r_{1}+r_{2}}{2}}}

is thex-coordinate of the vertex, and hence the vertex(h,k) is

(r1+r22,f(r1+r22)).{\displaystyle \left({\frac {r_{1}+r_{2}}{2}},f\left({\frac {r_{1}+r_{2}}{2}}\right)\right).}

The vertex is also the maximum point ifa < 0, or the minimum point ifa > 0.

The vertical line

x=h=b2a{\displaystyle x=h=-{\frac {b}{2a}}}

that passes through the vertex is also theaxis of symmetry of the parabola.

Maximum and minimum points

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Usingcalculus, the vertex point, being amaximum or minimum of the function, can be obtained by finding the roots of thederivative:

f(x)=ax2+bx+cf(x)=2ax+b{\displaystyle f(x)=ax^{2}+bx+c\quad \Rightarrow \quad f'(x)=2ax+b}

x is a root off '(x) iff '(x) = 0resulting in

x=b2a{\displaystyle x=-{\frac {b}{2a}}}

with the corresponding function value

f(x)=a(b2a)2+b(b2a)+c=cb24a,{\displaystyle f(x)=a\left(-{\frac {b}{2a}}\right)^{2}+b\left(-{\frac {b}{2a}}\right)+c=c-{\frac {b^{2}}{4a}},}

so again the vertex point coordinates,(h,k), can be expressed as

(b2a,cb24a).{\displaystyle \left(-{\frac {b}{2a}},c-{\frac {b^{2}}{4a}}\right).}

Roots of the univariate function

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Graph ofy =ax2 +bx +c, wherea and the discriminantb2 − 4ac are positive, with
  • Roots andy-intercept inred
  • Vertex and axis of symmetry inblue
  • Focus and directrix inpink
Visualisation of the complex roots ofy =ax2 +bx +c: the parabola is rotated 180° about its vertex (orange). Itsx-intercepts are rotated 90° around their mid-point, and the Cartesian plane is interpreted as the complex plane (green).[4]
Further information:Quadratic equation

Exact roots

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Theroots (orzeros),r1 andr2, of the univariate quadratic function

f(x)=ax2+bx+c=a(xr1)(xr2),{\displaystyle {\begin{aligned}f(x)&=ax^{2}+bx+c\\&=a(x-r_{1})(x-r_{2}),\\\end{aligned}}}

are the values ofx for whichf(x) = 0.

When thecoefficientsa,b, andc, arereal orcomplex, the roots are

r1=bb24ac2a,{\displaystyle r_{1}={\frac {-b-{\sqrt {b^{2}-4ac}}}{2a}},}
r2=b+b24ac2a.{\displaystyle r_{2}={\frac {-b+{\sqrt {b^{2}-4ac}}}{2a}}.}

Upper bound on the magnitude of the roots

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Themodulus of the roots of a quadraticax2+bx+c{\displaystyle ax^{2}+bx+c} can be no greater thanmax(|a|,|b|,|c|)|a|×ϕ,{\displaystyle {\frac {\max(|a|,|b|,|c|)}{|a|}}\times \phi ,} whereϕ{\displaystyle \phi } is thegolden ratio1+52.{\displaystyle {\frac {1+{\sqrt {5}}}{2}}.}[5]

The square root of a univariate quadratic function

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Thesquare root of a univariate quadratic function gives rise to one of the four conic sections,almost always either to anellipse or to ahyperbola.

Ifa>0,{\displaystyle a>0,} then the equationy=±ax2+bx+c{\displaystyle y=\pm {\sqrt {ax^{2}+bx+c}}} describes a hyperbola, as can be seen by squaring both sides. The directions of the axes of the hyperbola are determined by theordinate of theminimum point of the corresponding parabolayp=ax2+bx+c.{\displaystyle y_{p}=ax^{2}+bx+c.} If the ordinate is negative, then the hyperbola's major axis (through its vertices) is horizontal, while if the ordinate is positive then the hyperbola's major axis is vertical.

Ifa<0,{\displaystyle a<0,} then the equationy=±ax2+bx+c{\displaystyle y=\pm {\sqrt {ax^{2}+bx+c}}} describes either a circle or other ellipse or nothing at all. If the ordinate of themaximum point of the corresponding parabolayp=ax2+bx+c{\displaystyle y_{p}=ax^{2}+bx+c} is positive, then its square root describes an ellipse, but if the ordinate is negative then it describes anempty locus of points.

Iteration

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Toiterate a functionf(x)=ax2+bx+c{\displaystyle f(x)=ax^{2}+bx+c}, one applies the function repeatedly, using the output from one iteration as the input to the next.

One cannot always deduce the analytic form off(n)(x){\displaystyle f^{(n)}(x)}, which means thenth iteration off(x){\displaystyle f(x)}. (The superscript can be extended to negative numbers, referring to the iteration of the inverse off(x){\displaystyle f(x)} if the inverse exists.) But there are some analyticallytractable cases.

For example, for the iterative equation

f(x)=a(xc)2+c{\displaystyle f(x)=a(x-c)^{2}+c}

one has

f(x)=a(xc)2+c=h(1)(g(h(x))),{\displaystyle f(x)=a(x-c)^{2}+c=h^{(-1)}(g(h(x))),}

where

g(x)=ax2{\displaystyle g(x)=ax^{2}} andh(x)=xc.{\displaystyle h(x)=x-c.}

So by induction,

f(n)(x)=h(1)(g(n)(h(x))){\displaystyle f^{(n)}(x)=h^{(-1)}(g^{(n)}(h(x)))}

can be obtained, whereg(n)(x){\displaystyle g^{(n)}(x)} can be easily computed as

g(n)(x)=a2n1x2n.{\displaystyle g^{(n)}(x)=a^{2^{n}-1}x^{2^{n}}.}

Finally, we have

f(n)(x)=a2n1(xc)2n+c{\displaystyle f^{(n)}(x)=a^{2^{n}-1}(x-c)^{2^{n}}+c}

as the solution.

SeeTopological conjugacy for more detail about the relationship betweenf andg. And seeComplex quadratic polynomial for the chaotic behavior in the general iteration.

Thelogistic map

xn+1=rxn(1xn),0x0<1{\displaystyle x_{n+1}=rx_{n}(1-x_{n}),\quad 0\leq x_{0}<1}

with parameter 2<r<4 can be solved in certain cases, one of which ischaotic and one of which is not. In the chaotic caser=4 the solution is

xn=sin2(2nθπ){\displaystyle x_{n}=\sin ^{2}(2^{n}\theta \pi )}

where the initial condition parameterθ{\displaystyle \theta } is given byθ=1πsin1(x01/2){\displaystyle \theta ={\tfrac {1}{\pi }}\sin ^{-1}(x_{0}^{1/2})}. For rationalθ{\displaystyle \theta }, after a finite number of iterationsxn{\displaystyle x_{n}} maps into a periodic sequence. But almost allθ{\displaystyle \theta } are irrational, and, for irrationalθ{\displaystyle \theta },xn{\displaystyle x_{n}} never repeats itself – it is non-periodic and exhibitssensitive dependence on initial conditions, so it is said to be chaotic.

The solution of the logistic map whenr=2 is

xn=1212(12x0)2n{\displaystyle x_{n}={\frac {1}{2}}-{\frac {1}{2}}(1-2x_{0})^{2^{n}}}

forx0[0,1){\displaystyle x_{0}\in [0,1)}. Since(12x0)(1,1){\displaystyle (1-2x_{0})\in (-1,1)} for any value ofx0{\displaystyle x_{0}} other than the unstable fixed point 0, the term(12x0)2n{\displaystyle (1-2x_{0})^{2^{n}}} goes to 0 asn goes to infinity, soxn{\displaystyle x_{n}} goes to the stable fixed point12.{\displaystyle {\tfrac {1}{2}}.}

Bivariate (two variable) quadratic function

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Further information:Quadric andQuadratic form

Abivariate quadratic function is a second-degree polynomial of the form

f(x,y)=Ax2+By2+Cx+Dy+Exy+F,{\displaystyle f(x,y)=Ax^{2}+By^{2}+Cx+Dy+Exy+F,}

whereA, B, C, D, andE are fixedcoefficients andF is theconstant term.Such a function describes a quadraticsurface. Settingf(x,y){\displaystyle f(x,y)} equal to zero describes the intersection of the surface with the planez=0,{\displaystyle z=0,} which is alocus of points equivalent to aconic section.

Minimum/maximum

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If4ABE2<0,{\displaystyle 4AB-E^{2}<0,} the function has no maximum or minimum; its graph forms a hyperbolicparaboloid.

If4ABE2>0,{\displaystyle 4AB-E^{2}>0,} the function has a minimum if bothA > 0 andB > 0, and a maximum if bothA < 0 andB < 0; its graph forms an elliptic paraboloid. In this case the minimum or maximum occurs at(xm,ym),{\displaystyle (x_{m},y_{m}),} where:

xm=2BCDE4ABE2,{\displaystyle x_{m}=-{\frac {2BC-DE}{4AB-E^{2}}},}
ym=2ADCE4ABE2.{\displaystyle y_{m}=-{\frac {2AD-CE}{4AB-E^{2}}}.}

If4ABE2=0{\displaystyle 4AB-E^{2}=0} andDE2CB=2ADCE0,{\displaystyle DE-2CB=2AD-CE\neq 0,} the function has no maximum or minimum; its graph forms a paraboliccylinder.

If4ABE2=0{\displaystyle 4AB-E^{2}=0} andDE2CB=2ADCE=0,{\displaystyle DE-2CB=2AD-CE=0,} the function achieves the maximum/minimum at a line—a minimum ifA>0 and a maximum ifA<0; its graph forms a parabolic cylinder.

See also

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References

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  1. ^Weisstein, Eric Wolfgang."Quadratic Equation".MathWorld. Retrieved2013-01-06.
  2. ^Hughes Hallett, Deborah J.;Connally, Eric;McCallum, William George (2007).College Algebra.John Wiley & Sons Inc. p. 205.ISBN 9780471271758.
  3. ^Coleman, Percy (1914).Co-ordinate Geometry. Oxford University Press. p. 137.
  4. ^"Complex Roots Made Visible – Math Fun Facts". Retrieved1 October 2016.
  5. ^Lord, Nick (2007-11-01)."Golden Bounds for the Roots of Quadratic Equations".The Mathematical Gazette.91 (522): 549.doi:10.1017/S0025557200182324.JSTOR 40378441.
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