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Quadratic function

In mathematics, a quadratic polynomial is a polynomial of degree two in one or more variables. A quadratic function is the polynomial function defined by a quadratic polynomial. Before 20th century, the distinction was unclear between a polynomial and its associated polynomial function; so "quadratic polynomial" and "quadratic function" were almost synonymous. This is still the case in many elementary courses, where both terms are often abbreviated as "quadratic".

A quadratic polynomial with two real roots (crossings of the x axis) and hence no complex roots. Some other quadratic polynomials have their minimum above the x axis, in which case there are no real roots and two complex roots.

For example, a univariate (single-variable) quadratic function has the form[1]

where x is its variable. The graph of a univariate quadratic function is a parabola, a curve that has an axis of symmetry parallel to the y-axis.

If a quadratic function is equated with zero, then the result is a quadratic equation. The solutions of a quadratic equation are the zeros of the corresponding quadratic function.

The bivariate case in terms of variables x and y has the form

with at least one of a, b, c not equal to zero. The zeros of this quadratic function is, in general (that is, if a certain expression of the coefficients is not equal to zero), a conic section (a circle or other ellipse, a parabola, or a hyperbola).

A quadratic function in three variables x, y, and z contains exclusively terms x2, y2, z2, xy, xz, yz, x, y, z, and a constant:

where at least one of the coefficients a, b, c, d, e, f of the second-degree terms is not zero.

A quadratic function can have an arbitrarily large number of variables. The set of its zero form a quadric, which is a surface in the case of three variables and a hypersurface in general case.

Etymology

The adjective quadratic comes from the Latin word quadrātum ("square"). A term raised to the second power like x2 is called a square in algebra because it is the area of a square with side x.

Terminology

Coefficients

The coefficients of a quadric function are often taken to be real or complex numbers, but they may be taken in any ring, in which case the domain and the codomain are this ring (see polynomial evaluation).

Degree

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 the largest degree of a non-zero term of the polynomial, more typically "order" refers to the lowest degree of a non-zero term of a power series.

Variables

A quadratic polynomial may involve a single variable x (the univariate case), or multiple variables such as x, y, and z (the multivariate case).

The one-variable case

Any single-variable quadratic polynomial may be written as

 

where x is the variable, and a, b, and c represent the coefficients. Such polynomials often arise in a quadratic equation   The solutions to this equation are called the roots and can be expressed in terms of the coefficients as the quadratic formula. Each quadratic polynomial has an associated quadratic function, whose graph is a parabola.

Bivariate and multivariate cases

Any quadratic polynomial with two variables may be written as

 

where x and y are the variables and a, b, c, d, e, f are the coefficients, and one of a, b and c is nonzero. Such polynomials are fundamental to the study of conic sections, as the implicit equation of a conic section is obtained by equating to zero a quadratic polynomial, and the zeros of a quadratic function form a (possibly degenerate) conic section.

Similarly, quadratic polynomials with three or more variables correspond to quadric surfaces or hypersurfaces.

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

Forms of a univariate quadratic function

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

  •   is called the standard form,
  •   is called the factored form, where r1 and r2 are the roots of the quadratic function and the solutions of the corresponding quadratic equation.
  •   is called the vertex form, where h and k are the x and y coordinates of the vertex, respectively.

The coefficient a is the same value in all three forms. To convert the standard form to factored form, one needs only the quadratic formula to determine the two roots r1 and r2. To convert the standard form to vertex form, one needs a process called completing 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

 
 
 
 
 
 

Regardless of the format, the graph of a univariate quadratic function   is a parabola (as shown at the right). Equivalently, this is the graph of the bivariate quadratic equation  .

  • If a > 0, the parabola opens upwards.
  • If a < 0, the parabola opens downwards.

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

The coefficients b and a together control the location of the axis of symmetry of the parabola (also the x-coordinate of the vertex and the h parameter in the vertex form) which is at

 

The coefficient c controls the height of the parabola; more specifically, it is the height of the parabola where it intercepts the y-axis.

Vertex

The vertex of a parabola is the place where it turns; hence, it is also called the turning 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

 

into

 

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

 [citation needed]

If the quadratic function is in factored form

 

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

 

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

 

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

The vertical line

 

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

Maximum and minimum points

Using calculus, the vertex point, being a maximum or minimum of the function, can be obtained by finding the roots of the derivative:

 

x is a root of f '(x) if f '(x) = 0 resulting in

 

with the corresponding function value

 

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

 

Roots of the univariate function

 
Graph of y = ax2 + bx + c, where a and the discriminant b2 − 4ac are positive, with
  • Roots and y-intercept in red
  • Vertex and axis of symmetry in blue
  • Focus and directrix in pink
 
Visualisation of the complex roots of y = ax2 + bx + c: the parabola is rotated 180° about its vertex (orange). Its x-intercepts are rotated 90° around their mid-point, and the Cartesian plane is interpreted as the complex plane (green).[3]

Exact roots

The roots (or zeros), r1 and r2, of the univariate quadratic function

 

are the values of x for which f(x) = 0.

When the coefficients a, b, and c, are real or complex, the roots are

 
 

Upper bound on the magnitude of the roots

The modulus of the roots of a quadratic   can be no greater than   where   is the golden ratio  [4][importance?]

The square root of a univariate quadratic function

The square root of a univariate quadratic function gives rise to one of the four conic sections, almost always either to an ellipse or to a hyperbola.

If   then the equation   describes a hyperbola, as can be seen by squaring both sides. The directions of the axes of the hyperbola are determined by the ordinate of the minimum point of the corresponding parabola   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.

If   then the equation   describes either a circle or other ellipse or nothing at all. If the ordinate of the maximum point of the corresponding parabola   is positive, then its square root describes an ellipse, but if the ordinate is negative then it describes an empty locus of points.

Iteration

To iterate a function  , one applies the function repeatedly, using the output from one iteration as the input to the next.

One cannot always deduce the analytic form of  , which means the nth iteration of  . (The superscript can be extended to negative numbers, referring to the iteration of the inverse of   if the inverse exists.) But there are some analytically tractable cases.

For example, for the iterative equation

 

one has

 

where

  and  

So by induction,

 

can be obtained, where   can be easily computed as

 

Finally, we have

 

as the solution.

See Topological conjugacy for more detail about the relationship between f and g. And see Complex quadratic polynomial for the chaotic behavior in the general iteration.

The logistic map

 

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

 

where the initial condition parameter   is given by  . For rational  , after a finite number of iterations   maps into a periodic sequence. But almost all   are irrational, and, for irrational  ,   never repeats itself – it is non-periodic and exhibits sensitive dependence on initial conditions, so it is said to be chaotic.

The solution of the logistic map when r=2 is

 

for  . Since   for any value of   other than the unstable fixed point 0, the term   goes to 0 as n goes to infinity, so   goes to the stable fixed point  

Bivariate (two variable) quadratic function

A bivariate quadratic function is a second-degree polynomial of the form

 

where A, B, C, D, and E are fixed coefficients and F is the constant term. Such a function describes a quadratic surface. Setting   equal to zero describes the intersection of the surface with the plane   which is a locus of points equivalent to a conic section.

Minimum/maximum

If   the function has no maximum or minimum; its graph forms a hyperbolic paraboloid.

If   the function has a minimum if both A > 0 and B > 0, and a maximum if both A < 0 and B < 0; its graph forms an elliptic paraboloid. In this case the minimum or maximum occurs at   where:

 
 

If   and   the function has no maximum or minimum; its graph forms a parabolic cylinder.

If   and   the function achieves the maximum/minimum at a line—a minimum if A>0 and a maximum if A<0; its graph forms a parabolic cylinder.

See also

References

  1. ^ "Quadratic Equation from Wolfram MathWorld". Retrieved January 6, 2013.
  2. ^ Hughes-Hallett, Deborah; Connally, Eric; McCallum, William G. (2007), College Algebra, John Wiley & Sons Inc., p. 205, ISBN 9780471271758
  3. ^ "Complex Roots Made Visible – Math Fun Facts". Retrieved 1 October 2016.
  4. ^ Lord, Nick, "Golden bounds for the roots of quadratic equations", Mathematical Gazette 91, November 2007, 549.

External links

quadratic, function, zeros, quadratic, function, quadratic, equation, quadratic, formula, mathematics, quadratic, polynomial, polynomial, degree, more, variables, quadratic, function, polynomial, function, defined, quadratic, polynomial, before, 20th, century,. For the zeros of a quadratic function see Quadratic equation and Quadratic formula In mathematics a quadratic polynomial is a polynomial of degree two in one or more variables A quadratic function is the polynomial function defined by a quadratic polynomial Before 20th century the distinction was unclear between a polynomial and its associated polynomial function so quadratic polynomial and quadratic function were almost synonymous This is still the case in many elementary courses where both terms are often abbreviated as quadratic A quadratic polynomial with two real roots crossings of the x axis and hence no complex roots Some other quadratic polynomials have their minimum above the x axis in which case there are no real roots and two complex roots For example a univariate single variable quadratic function has the form 1 f x a x 2 b x c a 0 displaystyle f x ax 2 bx c quad a neq 0 where x is its variable The graph of a univariate quadratic function is a parabola a curve that has an axis of symmetry parallel to the y axis If a quadratic function is equated with zero then the result is a quadratic equation The solutions of a quadratic equation are the zeros of the corresponding quadratic function The bivariate case in terms of variables x and y has the form f x y a x 2 b x y c y 2 d x e y f displaystyle f x y ax 2 bxy cy 2 dx ey f with at least one of a b c not equal to zero The zeros of this quadratic function is in general that is if a certain expression of the coefficients is not equal to zero a conic section a circle or other ellipse a parabola or a hyperbola A quadratic function in three variables x y and z contains exclusively terms x2 y2 z2 xy xz yz x y z and a constant f x y z a x 2 b y 2 c z 2 d x y e x z f y z g x h y i z j displaystyle f x y z ax 2 by 2 cz 2 dxy exz fyz gx hy iz j where at least one of the coefficients a b c d e f of the second degree terms is not zero A quadratic function can have an arbitrarily large number of variables The set of its zero form a quadric which is a surface in the case of three variables and a hypersurface in general case Contents 1 Etymology 2 Terminology 2 1 Coefficients 2 2 Degree 2 3 Variables 2 3 1 The one variable case 2 3 2 Bivariate and multivariate cases 3 Forms of a univariate quadratic function 4 Graph of the univariate function 4 1 Vertex 4 1 1 Maximum and minimum points 5 Roots of the univariate function 5 1 Exact roots 5 2 Upper bound on the magnitude of the roots 6 The square root of a univariate quadratic function 7 Iteration 8 Bivariate two variable quadratic function 8 1 Minimum maximum 9 See also 10 References 11 External linksEtymology EditThe adjective quadratic comes from the Latin word quadratum square A term raised to the second power like x2 is called a square in algebra because it is the area of a square with side x Terminology EditCoefficients Edit The coefficients of a quadric function are often taken to be real or complex numbers but they may be taken in any ring in which case the domain and the codomain are this ring see polynomial evaluation Degree Edit 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 the largest degree of a non zero term of the polynomial more typically order refers to the lowest degree of a non zero term of a power series Variables Edit A quadratic polynomial may involve a single variable x the univariate case or multiple variables such as x y and z the multivariate case The one variable case Edit Any single variable quadratic polynomial may be written as a x 2 b x c displaystyle ax 2 bx c where x is the variable and a b and c represent the coefficients Such polynomials often arise in a quadratic equation a x 2 b x c 0 displaystyle ax 2 bx c 0 The solutions to this equation are called the roots and can be expressed in terms of the coefficients as the quadratic formula Each quadratic polynomial has an associated quadratic function whose graph is a parabola Bivariate and multivariate cases Edit Any quadratic polynomial with two variables may be written as a x 2 b y 2 c x y d x e y f displaystyle ax 2 by 2 cxy dx ey f where x and y are the variables and a b c d e f are the coefficients and one of a b and c is nonzero Such polynomials are fundamental to the study of conic sections as the implicit equation of a conic section is obtained by equating to zero a quadratic polynomial and the zeros of a quadratic function form a possibly degenerate conic section Similarly quadratic polynomials with three or more variables correspond to quadric surfaces or hypersurfaces Quadratic polynomials that have only terms of degree two are called quadratic forms Forms of a univariate quadratic function EditA univariate quadratic function can be expressed in three formats 2 f x a x 2 b x c displaystyle f x ax 2 bx c is called the standard form f x a x r 1 x r 2 displaystyle f x a x r 1 x r 2 is called the factored form where r1 and r2 are the roots of the quadratic function and the solutions of the corresponding quadratic equation f x a x h 2 k displaystyle f x a x h 2 k is called the vertex form where h and k are the x and y coordinates of the vertex respectively The coefficient a is the same value in all three forms To convert the standard form to factored form one needs only the quadratic formula to determine the two roots r1 and r2 To convert the standard form to vertex form one needs a process called completing 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 Edit f x a x 2 a 0 1 0 3 1 3 displaystyle f x ax 2 a 0 1 0 3 1 3 f x x 2 b x b 1 2 3 4 displaystyle f x x 2 bx b 1 2 3 4 f x x 2 b x b 1 2 3 4 displaystyle f x x 2 bx b 1 2 3 4 Regardless of the format the graph of a univariate quadratic function f x a x 2 b x c displaystyle f x ax 2 bx c is a parabola as shown at the right Equivalently this is the graph of the bivariate quadratic equation y a x 2 b x c displaystyle y ax 2 bx c If a gt 0 the parabola opens upwards If a lt 0 the parabola opens downwards The coefficient a controls the degree of curvature of the graph a larger magnitude of a gives the graph a more closed sharply curved appearance The coefficients b and a together control the location of the axis of symmetry of the parabola also the x coordinate of the vertex and the h parameter in the vertex form which is at x b 2 a displaystyle x frac b 2a The coefficient c controls the height of the parabola more specifically it is the height of the parabola where it intercepts the y axis Vertex Edit The vertex of a parabola is the place where it turns hence it is also called the turning 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 a x 2 b x c displaystyle f x ax 2 bx c into f x a x 2 b x c a x h 2 k a x b 2 a 2 c b 2 4 a displaystyle begin aligned f x amp ax 2 bx c amp a x h 2 k amp 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 b 2 a c b 2 4 a displaystyle left frac b 2a c frac b 2 4a right citation needed If the quadratic function is in factored form f x a x r 1 x r 2 displaystyle f x a x r 1 x r 2 the average of the two roots i e r 1 r 2 2 displaystyle frac r 1 r 2 2 is the x coordinate of the vertex and hence the vertex h k is r 1 r 2 2 f r 1 r 2 2 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 if a lt 0 or the minimum point if a gt 0 The vertical line x h b 2 a displaystyle x h frac b 2a that passes through the vertex is also the axis of symmetry of the parabola Maximum and minimum points Edit Using calculus the vertex point being a maximum or minimum of the function can be obtained by finding the roots of the derivative f x a x 2 b x c f x 2 a x b displaystyle f x ax 2 bx c quad Rightarrow quad f x 2ax b x is a root of f x if f x 0 resulting in x b 2 a displaystyle x frac b 2a with the corresponding function value f x a b 2 a 2 b b 2 a c c b 2 4 a 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 b 2 a c b 2 4 a displaystyle left frac b 2a c frac b 2 4a right Roots of the univariate function Edit Graph of y ax2 bx c where a and the discriminant b2 4ac are positive withRoots and y intercept in red Vertex and axis of symmetry in blue Focus and directrix in pink Visualisation of the complex roots of y ax2 bx c the parabola is rotated 180 about its vertex orange Its x intercepts are rotated 90 around their mid point and the Cartesian plane is interpreted as the complex plane green 3 Further information Quadratic equation Exact roots Edit The roots or zeros r1 and r2 of the univariate quadratic function f x a x 2 b x c a x r 1 x r 2 displaystyle begin aligned f x amp ax 2 bx c amp a x r 1 x r 2 end aligned are the values of x for which f x 0 When the coefficients a b and c are real or complex the roots are r 1 b b 2 4 a c 2 a displaystyle r 1 frac b sqrt b 2 4ac 2a r 2 b b 2 4 a c 2 a displaystyle r 2 frac b sqrt b 2 4ac 2a Upper bound on the magnitude of the roots Edit The modulus of the roots of a quadratic a x 2 b x c displaystyle ax 2 bx c can be no greater than max a b c a ϕ displaystyle frac max a b c a times phi where ϕ displaystyle phi is the golden ratio 1 5 2 displaystyle frac 1 sqrt 5 2 4 importance The square root of a univariate quadratic function EditThe square root of a univariate quadratic function gives rise to one of the four conic sections almost always either to an ellipse or to a hyperbola If a gt 0 displaystyle a gt 0 then the equation y a x 2 b x 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 the ordinate of the minimum point of the corresponding parabola y p a x 2 b x 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 If a lt 0 displaystyle a lt 0 then the equation y a x 2 b x c displaystyle y pm sqrt ax 2 bx c describes either a circle or other ellipse or nothing at all If the ordinate of the maximum point of the corresponding parabola y p a x 2 b x 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 an empty locus of points Iteration EditTo iterate a function f x a x 2 b x 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 of f n x displaystyle f n x which means the nth iteration of f x displaystyle f x The superscript can be extended to negative numbers referring to the iteration of the inverse of f x displaystyle f x if the inverse exists But there are some analytically tractable cases For example for the iterative equation f x a x c 2 c displaystyle f x a x c 2 c one has f x a x c 2 c h 1 g h x displaystyle f x a x c 2 c h 1 g h x where g x a x 2 displaystyle g x ax 2 and h x x c 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 where g n x displaystyle g n x can be easily computed as g n x a 2 n 1 x 2 n displaystyle g n x a 2 n 1 x 2 n Finally we have f n x a 2 n 1 x c 2 n c displaystyle f n x a 2 n 1 x c 2 n c as the solution See Topological conjugacy for more detail about the relationship between f and g And see Complex quadratic polynomial for the chaotic behavior in the general iteration The logistic map x n 1 r x n 1 x n 0 x 0 lt 1 displaystyle x n 1 rx n 1 x n quad 0 leq x 0 lt 1 with parameter 2 lt r lt 4 can be solved in certain cases one of which is chaotic and one of which is not In the chaotic case r 4 the solution is x n sin 2 2 n 8 p displaystyle x n sin 2 2 n theta pi where the initial condition parameter 8 displaystyle theta is given by 8 1 p sin 1 x 0 1 2 displaystyle theta tfrac 1 pi sin 1 x 0 1 2 For rational 8 displaystyle theta after a finite number of iterations x n displaystyle x n maps into a periodic sequence But almost all 8 displaystyle theta are irrational and for irrational 8 displaystyle theta x n displaystyle x n never repeats itself it is non periodic and exhibits sensitive dependence on initial conditions so it is said to be chaotic The solution of the logistic map when r 2 isx n 1 2 1 2 1 2 x 0 2 n displaystyle x n frac 1 2 frac 1 2 1 2x 0 2 n for x 0 0 1 displaystyle x 0 in 0 1 Since 1 2 x 0 1 1 displaystyle 1 2x 0 in 1 1 for any value of x 0 displaystyle x 0 other than the unstable fixed point 0 the term 1 2 x 0 2 n displaystyle 1 2x 0 2 n goes to 0 as n goes to infinity so x n displaystyle x n goes to the stable fixed point 1 2 displaystyle tfrac 1 2 Bivariate two variable quadratic function EditFurther information Quadric and Quadratic form A bivariate quadratic function is a second degree polynomial of the form f x y A x 2 B y 2 C x D y E x y F displaystyle f x y Ax 2 By 2 Cx Dy Exy F where A B C D and E are fixed coefficients and F is the constant term Such a function describes a quadratic surface Setting f x y displaystyle f x y equal to zero describes the intersection of the surface with the plane z 0 displaystyle z 0 which is a locus of points equivalent to a conic section Minimum maximum Edit If 4 A B E 2 lt 0 displaystyle 4AB E 2 lt 0 the function has no maximum or minimum its graph forms a hyperbolic paraboloid If 4 A B E 2 gt 0 displaystyle 4AB E 2 gt 0 the function has a minimum if both A gt 0 and B gt 0 and a maximum if both A lt 0 and B lt 0 its graph forms an elliptic paraboloid In this case the minimum or maximum occurs at x m y m displaystyle x m y m where x m 2 B C D E 4 A B E 2 displaystyle x m frac 2BC DE 4AB E 2 y m 2 A D C E 4 A B E 2 displaystyle y m frac 2AD CE 4AB E 2 If 4 A B E 2 0 displaystyle 4AB E 2 0 and D E 2 C B 2 A D C E 0 displaystyle DE 2CB 2AD CE neq 0 the function has no maximum or minimum its graph forms a parabolic cylinder If 4 A B E 2 0 displaystyle 4AB E 2 0 and D E 2 C B 2 A D C E 0 displaystyle DE 2CB 2AD CE 0 the function achieves the maximum minimum at a line a minimum if A gt 0 and a maximum if A lt 0 its graph forms a parabolic cylinder See also EditQuadratic form Quadratic equation Matrix representation of conic sections Quadric Periodic points of complex quadratic mappings List of mathematical functionsReferences Edit Quadratic Equation from Wolfram MathWorld Retrieved January 6 2013 Hughes Hallett Deborah Connally Eric McCallum William G 2007 College Algebra John Wiley amp Sons Inc p 205 ISBN 9780471271758 Complex Roots Made Visible Math Fun Facts Retrieved 1 October 2016 Lord Nick Golden bounds for the roots of quadratic equations Mathematical Gazette 91 November 2007 549 Algebra 1 Glencoe ISBN 0 07 825083 8 Algebra 2 Saxon ISBN 0 939798 62 XExternal links EditWeisstein Eric W Quadratic MathWorld Retrieved from https en wikipedia org w index php title Quadratic function amp oldid 1147370127, wikipedia, wiki, book, books, library,

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