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N11

The relationship between the cubic and their and secants

By Wenyuan Zeng

written under the supervision of Guoshuang Pan

Beijing National Day's school

Beijing,People's Republic of China

November 2011

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Abstract This paper contains seven sections primarily concerning the relationship between a with its tangents and secants at a point, the properties of the gradients of tangents and secants to a cubic function at a point, the properties and categorization of cubic functions, and a new definition of the cubic functions. We've found some interesting

n ⅥⅥⅥ 1 = properties such as Property : ∑ 0 where ki is the slope of the i=1 ki to a function at one of its zeros. PropertyⅨⅨⅨ:

n = ′ ∑ ki f() x0 where ki is the slope of the tangent to a polynomial i=1 ( ) function at x0,() f x 0 .

The structure of this paper is as follows.

Section 1: we introduce the background, some notations and some preliminary results such as definitions, lemmas and theorems.

Section 2: we investigate the questions of intersection which concern a cubic function and the tangent on this function at a point. These include the intersection point of a cubic function and a tangent and the area of the figure enclosed by the tangent and the graph of the function.

Section 3: we investigate the distance from a point on the graph of a cubic function to a fixed line, and we work out a new definition for the cubic functions.

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Section 4: we talk about the symmetry cubic functions.

Section 5: we concentrate on the slopes of the tangents at the zeros for a cubic function. We also prove corollaries for some of the properties by the Vandermonde determinant.

Section 6: we investigate the slope of the line passing through both a point in the x-y plane and a zero of a cubic function. We also prove

Corollaries of these properties which concern a polynomial function of degree n .

Section 7: we talk about the relationship between the types of graph for cubic functions and the roots of the corresponding to this function.

KEY WORDS: Cubic function Graph of cubic function Zero

Inflection point Turning point Slope Tangent Secant Point of symmetry Area Polynomial function of degree n The Vandermonde determinant

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Contents

Abstract 1

Section 1 Introduction 6 1.1 Background 6

1.2 Basic Notations 6

1.3 Preliminary Results 7 Section 2 The intersection of a cubic function and a tangent to this function 12 2.1 Property Ⅰ 12

2.2 Property ⅡⅡⅡ 14 Section 3 A new definition of cubic functions 17 3.1 Property Ⅲ 17

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3.2 Property Ⅳ 19 Section 4 The symmetry of a cubic function 21 4.1 Property Ⅴ 21 Section 5 The tangents to a cubic function at its zeros 23 5.1 Property Ⅵ 23

5.2 Property ⅦⅦⅦ 29

5.3 Property ⅧⅧⅧ 31 Section 6 The slope of the line passing through an arbitrary point and one of the zeros for a cubic function 35 6.1 Property ⅨⅨⅨ 35

6.2 Property ⅩⅩⅩ 38

6.3 Property ⅪⅪⅪ 40 Section 7 The division of the graph of a cubic function 44 7.1 Property Ⅻ 44

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Appendix The initial proof of the corollary

of PropertyⅥⅥⅥ 47

Bibliography 52

Acknowledgements 53

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Section 1

Introduction

1.1 Background

For polynomial functions, we often concentrate on quadratic functions which are quite familiar to us. In this paper, we will mainly investigate cubic functions through , because the of a cubic function will be a . We also use determinants to solve some problems while we are proving the corollary about the case of degree n .

1.2 Basic Notations

1. Let R denote the set of real .

2. Let f′() x denote the 1st order derivative of f() x and f′′() x denote

the 2nd order derivative of f() x .

n “ ” ≤ ≤ 3. Let ∑xi denote the sum of the xi over 1 i n . That is to say i=1

n = + +L + + ∑xi x1 x 2 xn−1 x n . i=1

n “ ” ≤ ≤ Let ∏ xi denote the product of the xi over 1 i n . That is to i=1

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n = × ×L × × say ∏ xi x1 x 2 xn−1 x n i=1

1.3 Preliminary Results

Definition 1.3.1. A cubic function is a function of the form as follows.

f() x= ax3 + bx 2 + cx + d( a ≠ 0)

The domain of it is R , and the range is R .

Definition 1.3.2. The for a one-variable function is a point on the curve of the function at which the curve changes from being concave upwards (positive ) to concave downwards (negative curvature). Suppose the coordinate of the inflection point for the function ( ) ( ) f() x is (xin, f x in ) ,if f is twice differentiable at (xin, f x in ) , then ′′ = f( xin ) 0

Definition 1.3.3. A turning point is a point at which the sign of the derivative changes. For differentiable functions such as cubics, the turning point must have a zero derivative.

Definition 1.3.4. A is defined as an intersection point of the curve of the function with the horizontal axis.

Lemma 1.3.1. A cubic function has a unique inflection point at its point

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of symmetry.

Proof:

Suppose

f() x= ax3 + bx 2 + cx + d( a ≠ 0) , we get f′′( x )= 6 ax + 2 b ( a ≠ 0) and its inflection point

 b b   −, f  −  .  3a 3 a 

For x∈ R ,we have

b  b  f− − x  + f  − + x  3a  3a  b 3 b 2 b  =a − − x  + b  − − x  + c  − − x  + d 3a  3a  3a  b 3 b 2 b  +a − + x  + b  − + x  + c  − + x  + d 3a  3a  3a   b 3  b 2  b   =2 a −  + b  −  + c  −  + d   3a  3 a   3 a   b  =2f  −  . 3a 

Hence, the point of symmetry of a cubic function is its inflection point.

Lemma 1.3.2. By change of variable of the form y= x + k , for constant k , any cubic may be written in the form

f() x= ax3 + mx + n( a ≠ 0) .

Proof:

Suppose

f() x= ax3 + bx 2 + cx + d( a ≠ 0) , this may be rewritten as

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b 3 b  f() x= a x +  + m  x +  + n( a ≠ 0) , 3a  3a 

b2 2b3 bc where m= c −, n = d + − . 3a 27a2 3 a

This is a very useful conclusion, which can be used to simplify the problems when exploring properties of cubics.

Lemma 1.3.3. A cubic has either three real roots, or one real root and two complex imaginary roots. In the case of three real roots, either all of them are equal, two of them are equal, or all of them are different.

Lemma 1.3.4 In the following discussion , the graphs of cubics are divided into three different types.

1) Example: f() x= x3 − x .

There are two turning points for this type of function, the cubic equation corresponding to this function may have three different real roots , three real roots with two of them equal or one real root and two complex roots.

2)Example: f() x= x3 .

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There is a but no turning point for this type of function, the cubic equation corresponding to this function may have three equal real roots or one real root and two complex roots.

3)Example: f() x= x3 + x .

There are no turning points or stationary points for this type of function. The cubic equation corresponding to this function would have one real root and two complex roots.

Lemma 1.3.5 Vieta's theorem for a polynomial equation of degree n

n +n−1 +…… + + = ≠ For an x a n−1 x a1 x a0 0 ( an 0) , this equation has n roots.

Through , this equation can be reformed as

− −…… − = ≠ an ( x x1 )( x x 2 ) ( x xn ) 0 ( a n 0) ,

where xi are the roots of the equation.

And we have

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 n = − an−1 ∑ xi a  i=1 n  = an−2  ∑ xi x j 1≤i < j ≤ n an  = − an−3  ∑ xi x j x k ≤ < < ≤ a 1 i j k n n . ……   n a x x…… x =( − 1) 0  1 2 n a  n 

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Section 2

The intersection of a cubic function and a tangent to this function

2.1 Property Ⅰ

This is a property about the intersection points of a tangent to a cubic function with the function itself.

Suppose

f( x )= ax3 + mx ( a ≠ 0) . ( ) The tangent at any point x0,() f x 0 on this function except the inflection point of this function crosses the graph of the cubic function at ( ) ( ) exactly two points. One is x0,() f x 0 , the other is x1,() f x 1 .

The relationship between x0 and x1 is = − x12 x 0 .

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Proof:

As all the cubic functions can be written as

f() x= ax3 + mx + n( a ≠ 0) , therefore, it is only needed to prove that it is true for the case

f() x= ax3 + mx + n( a ≠ 0) .

Suppose

f() x= ax3 + mx + n( a ≠ 0), then

f′( x )= 3 ax2 + m ( a ≠ 0) . ( ) For a point x1,() f x 1 on the graph of the function which is not the inflection point, the goal is to find the tangent ltg to the function at ′′ ( ) ( x0,() f x 0 ) passing through x1,() f x 1 .We have

 =′2 + −′3 +  ltg : y( 3 ax0 m) x2 ax0 n ,   f(): x y= ax3 + mx + n. x= x 1 Since  = solves the equations above, so we have y f() x1 3 + =′2 + − ′3 ax1 mx 1(3 ax 0 m) x12 ax 0 . ′ = For this equation, we know that x0 x 1 must be one of its solutions.

Through factorization, we can get another solution

1 x′ = x = − x . 0 0 2 1

(we know that a cubic equation has three solutions, but in this situation,

1 two of its solutions are same: x′ = x = − x .) 0 0 2 1

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( ) Similarly, if the point x1,() f x 1 is the inflection point, which means

= ′ x1 0 . In this case the only possible value for x0 is 0 , which means the tangent at the inflection point would pass the function through the tangent point only.

Corollary:

In general, as the point of symmetry of a cubic function

3 2  b b  f() x= ax + bx + cx + d( a ≠ 0) is  −, f  −  , we can obtain a more  3a 3 a  general conclusion: ( ) The tangent at a point x0,() f x 0 to a cubic function, which is not ( ) the inflection point, would pass the graph of the function at x0,() f x 0 ( ) and x1,() f x 1 ,and the relationship between these two points is

b b  x + = −2x +  1 3a 0 3a 

2.2 Property ⅡⅡⅡ

This property talks about the area enclosed by the tangent to the curve of a cubic function and the curve itself.

Suppose

f( x )= ax3 + mx ( a ≠ 0) . ( ) The tangent at point A x0,() f x 0 on this function except at the point of inflection would pass the graph through another point B . The

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area enclosed between the tangent and the cubic function is

27 4 S= ax . 4 0

Proof:

Suppose

f( x )= ax3 + mx ( a ≠ 0) , ( ) and the tangent at point x0,() f x 0 on this function is

=2 + − 3 . ltg : y( 3 ax0 m) x 2 ax0

Let

= − F()() x ltg f x , so we have that the area" S "of the closed graph shaped by the tangent and the function is the of the definite integral of F() x on

( − ) ( (− ) ) x0, 2 x 0 or 2x0 , x 0

−2x −2x = 0 = 0 ( 3 −2 + 3 ) S∫ F() x dx ∫ ax3 ax0 x2 ax0 dx x0 x0

1− 3 − − =ax4 2x0 − ax2 x 2 2x0 + 2 ax3 x 2x0 4x0 2 0 x0 0 x0 27 = ax 4 . 4 0

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Corollary: ( ) In general ,the tangent at a point x0,() f x 0 on the function f() x= ax3 + bx 2 + cx + d( a ≠ 0) will enclose an area with the cubic function.

This area is given by:

27 b S= a() x + 4 . 40 3a

Proof:

For f() x= ax3 + bx 2 + cx + d( a ≠ 0) ,we can move its graph to the graph of f() x= ax3 + mx + n( a ≠ 0) and furthermore , to f( x )= ax3 + mx ( a ≠ 0) .

Since area is a translation invariant, we can prove the corollary by proving the case f( x )= ax3 + mx ( a ≠ 0) . As the case f( x )= ax3 + mx ( a ≠ 0) has already been proved, the corollary is proved as well.

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Section 3

A new definition of cubic functions

3.1 Property Ⅲ

By comparing with the polar coordinate representation of conical curves, we enquire as to the distance from a point on the curve to a fixed line which is the tangent at the inflection point for the function.

Suppose

f( x )= ax3 + mx ( am < 0)

Let a tangent ltg pass across the inflection point of the function. For any line y= kx( if a > 0 then k ≥ m . if a < 0 then k ≤ m ) , the distance " d " from the intersection point of y= kx and f() x to the tangent ltg is

3   2  m− k  d =   d , 1 0  m +  m  where d0 is defined as the distance from the intersection point of f() x and the normal at the inflection point to the tangent ltg .

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Proof:

Suppose

f( x )= ax3 + mx ( am < 0) and

y= kx( if a > 0 then k ≥ m . if a < 0 then k ≤ m ) ,

Two intersection points of f() x and y= kx are

− −  − −  k m k m −k m − k m (,)f   and (, f  ) . a a  a a 

According to the formula of the distance from a point to a line

3 k− m  a   Ax+ By + C a  d =0 0 = , A2+ B 2 m 2 +1

1 taking k = − , we obtain m

3 1  − − m  am   a      = = +1  − 1 d0  m  m2 +1 m  am . Hence

3   2 m− k  d =   d . 1 0 m +  m 

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3.2 Property Ⅳ

This property may be used as a definition of cubic functions.

Given a fixed line y= mx , for any variable line y= kx( m ×( m − k ) > 0) , there are two special points on this line satisfying the equality

3 d= p() k − m 2 , where d is defined as the distance from the special point to the line y= mx ,and p is a positive constant. The set of these points would form the graph of a cubic function.

Proof:

Suppose (,)x0 kx 0 is one of the points on the graph, by the formula of the distance from a point to a line Ax+ By + C d = 0 0 , AB2+ 2

3 = = = − = =() − 2 where y0 kx 0 , A m , B 1 ,C 0 , d p k m .

Thereby

=2 + × − x0 p m1 k m .

Since

y = 0 =2 + × − k and x0 p m1 k m , x0 we have −sgn(m ) y = x3 + mx , 0 p2( m 2 + 1) 0 0

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1x > 0  where sgn(x )= 0 x = 0 .  −1x < 0 This means that those points form a graph of a cubic function.

Summarize

According to this property, we have a new representation of a cubic function:

Suppose a fixed line y= mx . For any line y= kx( m ×( m − k ) > 0) , there are two special points on this variable line satisfying the equality

3 d= p() k − m 2 , where d is defined as the distance from the special point to the line y= mx , and p is a constant . All these points would form the graph of a cubic function, whose point of symmetry is the origin. This can be seen as a new definition of a cubic function.

Comparing with the polar coordinate representation of conical curves, this representation has more confining conditions. This is possibly a result of the fact cubic functions do not form closed graphs, while conical curves are.

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Section 4

The symmetry of a cubic function

4.1 Property Ⅴ

Suppose

f() x= ax3 + bx 2 + cx + d( a ≠ 0) .

If there are two different points for which the derivatives are equal to each other on the function, then the line passing the two points will pass through the inflection point for this function.

Proof :

Suppose

f() x= ax3 + bx 2 + cx + d( a ≠ 0) , then

f′( x )= 3 ax2 + 2 bx + c ( a ≠ 0) .

If the derivative of the function at point A is equal to the derivative at

Page - 151 N11 point B , which means ′′( ) = ( ) f xA f xB . b Since f′() x is symmetrical about the axis x = − , we obtain that 3a x+ x b AB = − . 2 3a  b b  Because  −, f  −  is the point of symmetry of this cubic function,  3a 3 a  the x coordinate of A and B are symmetrical about the point of symmetry.

Thus the line passing the two points must pass through the point of symmetry of this cubic function.

This property is the result of the fact that an odd function has a even function as its derivative function.

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Section 5

The tangents to a cubic function at its zeros

5.1 Property Ⅵ

This property concentrates on the slopes of the tangents at each zero for a cubic function. We also prove a corollary for the polynomial function of degree n by the Vandermonde determinant.

Given a cubic function

f() x= ax3 + bx 2 + cx + d( a ≠ 0) , if there are three different zeros for this function , A (x1 ,0) , B (x2 ,0) , C (x3 ,0) then we have

3 1 ∑ = 0 i=1 ki and

3 x ∑ i = 0 , i=1 ki ≤ ≤ ≤ ≤ . where ki (1 i 3) is the slope of the tangent at (xi ,0)(1 i 3)

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Proof:

Since by assumption, there are three different zeros , A (x1 ,0) , B (x2 ,0) , C (x3 ,0) then

=3 + 2 + + = − − − fx() ax bx cxd axxxx(1 )( 2 )( xx 3 ) .

Thus we obtain ′ = − − + − − + − − fx()( axxxx1 )( 2 )( axxxx1 )( 3 )( axxxx2 )( 3 ) . ≠ ≠ Because x1 x 2 x 3 , it follows

1= 1 − − k1 a( x 1 x 2 )( x 1 x 3 ) ,

1= 1 − − k2 a( x 2 x 1 )( x 2 x 3 ) ,

1= 1 − − k3 a( x 3 x 1 )( x 3 x 2 ) , and

3 1= 1 + 1 + 1 ∑ − − − − − − i=1 ki axxxx(1213 )( )( axxxx 2123 )( )( axxxx 3132 )( )

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()()()x− x − x − x + x − x = 2 3 1 3 1 2 − − − a( x1 x 2 )( x 1 x 3 )( x 2 x 3 )

= 0 − − − a( x1 x 2 )( x 1 x 3 )( x 2 x 3 )

= 0 .

Likewise

3 x x x x i = 1+ 2 + 3 ∑ − − − − − − i=1 ki axxxx(1213 )( )( axxxx 2123 )( )( axxxx 3132 )( )

x()()() x− x − x x − x + x x − x = 1 2 3 2 1 3 3 1 2 − − − a( x1 x 2 )( x 1 x 3 )( x 2 x 3 )

= 0 .

Corollary:

For any polynomial function of degree n with n different zeros ,the equation n 1 ∑ = 0 i=1 ki holds, ≤ ≤ where ki (1 i n ) is defined as the slope of the tangent to this function at ≤ ≤ . one of the zeros (xi ,0)(1 i n )

Definition 5.1.3.1 A matrix is a rectangular array of numbers. The

individual items in a matrix are called its elements or entries.

Definition 5.1.3.2 The determinant is a value associated with an n-by-n

matrix.The determinant of a matrix A is denoted as det(A), det A, or |A|.

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In the case where the matrix entries are written out in full, the determinant is denoted by surrounding the matrix entries by vertical bars instead of the brackets or parentheses of the matrix. For instance, the determinant of the matrix

a b c  a b c   d e f  is written d e f .   g h i g h i  

Lemma 5.1.3.1 Laplace's formula

Laplace's formula expresses the determinant of a matrix in terms of its minors. The minor Mij is defined to be the determinant of the

(n−1)×(n−1)-matrix that results from A by removing the ith row and the th − i+ j j column. The expression ( 1) Mij is known as the cofactor of aij .

th th aij is defined as the entry from the i row and j column of A. The determinant of A is given by

n n = −i+ j = − i+ j det(A )∑ ( 1) aij M ij ∑( 1) aij M ij . j=1 i=1

Lemma 5.1.3.2 The Vandermonde determinant

1 1 1L 1 L x1 x 2 x 3 xn = 2 2 2 L 2 = − Dn x1 x 2 x 3 xn∏ () x i x j 1≤j < i ≤ n . M MMM n−1 n− 1 n − 1 L n−1 x1 x 2 x 3 xn

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Lemma 5.1.3.3 If two or more columns or rows of a determinant are equal,then the value of the determinant is equal to zero.

Proof:

Suppose

= − − −L − ≠ fx( ) axxxxxx (1 )( 2 )( 3 ) ( xxan )( 0) , then n 1 fx′( )= axxxxxx ( − )( − )( − )L ( xx − ) × 1 2 3 n ∑ − . i=1 x xi Thus we can obtain

= ′ = − −L − k1 f( x 1 ) a ( x 1 x 2 )( x 1 x 3 ) ( x 1 xn ),  =′ = − −L − k2 f( x2) a ( x 2 x 1 )( x 2 x 3 ) ( x 2 xn ),  L  =′ = − −L − −L − kfxaxxxxi ()(i i 1 )(i 2 )( xxxxi i−1 )( i i+1 )( xx i n ),  L  =′ = − −L − kn f( x n ) a ( x n x1 )( xn x2 ) ( xn x n−1 ), therefore,

n  i−1  ()−1 × ∏ ()x− x  n ∑ j k ∑ 1= 1 × i=1  1≤j < k ≤ n , j , k ≠ i  − . i=1 ki a ∏ ()xi x j 1≤i < j ≤ n

We only need to prove

n  −  ()−1 i 1 × ∏ ()x− x = 0 ∑ j k  . i=1  1≤ j< k ≤ n , j , k ≠ i 

Considering the determinant as follows

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1 1 L 1 L x1 x 2 xn x2x 2L x 2 D = 1 2 n MM M . n−2 n − 2 L n−2 x1 x 2 xn 1 1 L 1

According to Lemma 5.1.3.3

D = 0 .

Expanding the last row of D , we obtain

1 1 L 1 1 1 L 1 L L x2 x 3 x n x1 x 3 x n x2 x 2 L x 2 x2 x 2 L x 2 D =( − 1) n +1 2 3 n +( − 1) n + 2 1 3 n MM M MM M n−3 n − 3 L n − 3 n−3 n − 3 L n − 3 x2 x 3 x n x1 x 3 x n 1 1 L 1 1 1 L 1

1 1 L 1 L x1 x 2 x n 2 2 2 x x L x − +L +( − 1) 2 n 1 2n 1 . MM M n−3 n − 3L n − 2 x1 x 2x n − 1 1 1 L 1

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According to the Vandermonde determinant

= − n+1 − + − n+2 − + − n+3 − D ( 1) ∏ (xk x j ) ( 1) ∏ (xk x j ) ( 1) ∏ (xk x j ) 2≤ j< k ≤ n 1≤j < k ≤ n , j , k ≠ 1 1≤j < k ≤ n , j , k ≠ 2 +L + − 2n − ( 1) ∏ ()xk x j 1≤j < k ≤ n − 1

n−1 n ()  −  = −n+1 −2 () −i 1 × − ( 1) ( 1)∑ 1 ∏ ()xj x k , i=1  1≤j < k ≤ n , j , k ≠ i 

n −1  where   is the number of ways of selecting 2 things from (n-1) .   2 

n  −  ()−1 i 1 × ∏ ()x− x = 0 ∑ j k  . i=1  1≤ j< k ≤ n , j , k ≠ i 

5.2 Property ⅦⅦⅦ

A geometric property about the normals to a cubic function at zeros.

Suppose we have

f() x= ax3 + bx 2 + cx + d( a ≠ 0) .

If there are three different zeros for this function , A (x1 ,0) B (x2 ,0) C (x3 ,0)

choose any two of these three points, such as A and B , and we

denote the normals at these two points as lA and lB respectively, then , C is the middle point of the segment KKAB where KA is defined as the

intersection point of lA and the vertical line passing through C , with

K B defined in the same way.

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Proof:

Given a cubic function f() x with three different zeros for this function. The zeros are . A (x1 ,0) , B (x2 ,0) , C (x3 ,0) . Let ki to be the slope of the tangent at (xi ,0)

By the Property ⅥⅥⅥ, we have

3 1 ∑ = 0 i=1 ki and

3 x ∑ i = 0 . i=1 ki

Thus 3 3 x ×1 −i = x3 ∑ ∑ 0 i=1ki i = 1 k i x− x x − x ⇒ 3 1= 2 3 . k1 k2 1 Since k is the slope of the tangent at a point, − is the slope of the k − normal at the same point. Note that x3 x 1 is the length of AC and

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− − x3 x 1 x2 x 3 is the length of BC , so we can obtain is the length of k1

− x2 x 3 CK A and is the length of CKB k2 x− x x − x 3 1= 2 3

k1 k2 x− x x − x . ⇒ 3 1= 2 3 k1 k2

Thus the length of CK A is equal to the length of CKB . , For any sequence of positions for A , B and C, points KA K B are always on the opposite sides of C , along with the fact that the length of

CK A is equal to the length of CKB ,then we obtain that C is the . midpoint of the segment KKAB

5.3 Property Ⅷ

Though the zeros change when we move by translation the graph of the cubic function, the sum of the three slopes of the tangents at each zero will be a constant number unless we change the curve.

Suppose we have a cubic function with three zeros.

The equality

3

∑ ki i=1 k0 + = 0 3 holds,

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where k0 is defined as the slope of the tangent at the inflection point, and ≤ ≤ ki (1 i 3) is the slope of the tangent at the point (xi ,0) which is one of

the three zeros.

Proof:

Suppose

=3 + 2 + + = − − − ≠ fx() ax bx cxdaxxxx(1 )( 2 )( xx 3 ) ( a 0) . ≤ ≤ , Let ki (1 i 3) be the slope of the tangent at (xi ,0)

=′ = − − + − − + − − kfx()( axxxx1 )( 2 )( axxxx1 )( 3 )( axxxx2 )( 3 )

3 = − − + − − + − − ∑ kaxxxxi (1213 )( )( axxxx 2123 )( )( axxxx 3132 )( ) i=1

=2 + 2 + 2 − + + ax()(1 x 2 x 3 axx 1 2 xx 2 3 xx 1 3 )

= + +2 − + + ax(1 x 2 x 3 ) 3 axx ( 1 2 xx 2 3 xx 1 3 ) .

By Vieta's theorem (Lemma 1.3.5), we can obtain that

3 2 = −b  −  c  ∑ ki a 3 a   i=1 a   a  b2 = − 3c . a

Since

′ =2 + + f( x0 ) 3 ax0 2 bx 0 c

b 2  b  =3a −  + 2 b  −  + c 3a  3 a 

b2 = − + c , 3a ( ) where x0,() f x 0 is the inflection point, then we have

Page - 162 N11

3 = − ′ ∑ki 3 f ( x0 ) . i Therefore

3

∑ ki +i=1 = k0 0 . 3

5.3.3 Corollary:

The zeros for a function are the intersection points of both the curve of the function and y = 0 . If y = 0 is replaced by y= px + q ,we can obtain

3

∑ki i=1 +f′() x = p , 3 0 ( ) where x0,() f x 0 is the inflection point.

Proof:

Similarly, by Vieta's theorem, we can prove

3 2 =b − + ∑ki 3 c 3 p . i=1 a

′ =2 + + f( x0 ) 3 ax0 2 bx 0 c

b 2  b  =3a −  + 2 b  −  + c 3a  3 a 

b2 = − + c . 3a

Hence

Page - 163 N11

3

∑ ki i=1 +′ = f() x0 p . 3

Page - 164 N11

Section 6

The slope of the line passing through an arbitrary point and one of the zeros for a cubic function

6.1 Property ⅨⅨⅨ

This property concentrates on the slope of the line passing through both a point on the function and a zero for this function.

Take a cubic function with three different zeros. For any point

F( x0 , f ( x 0 )) on the graph of the function, the equality + + = ′ kAFBFCF k k f() x0 holds,

where kAF is defined as the slope of the line passing through both , , F and A with kBF and kCF defined similarly. Here A B and

C are the three zeros for this function.

Page - 165 N11

Proof:

Suppose we have

f() x= ax3 + bx 2 + cx + d( a ≠ 0) .

For any point F( x0 , f ( x 0 )) on the graph of the function, we can denote

f()() x− f x k = 0 i (1≤i ≤ 3) , i − x0 xi ≤ ≤ where (xi ,0)(1 i 3) is a zero of this function, ki is the slope of the

≤ ≤ line passing through both (xi ,0)(1 i 3) and point F .

1) When F( x0 , f ( x 0 )) is not one of the three zeros.

− ≠ , Since x0 xi 0 then we get

f()() x− f x k = 0 i i − x0 xi (ax3+ bx 2 + cx + d) −( ax3 + bx 2 + cx + d ) = 0 0 0 i i i − x0 xi axxx(− )( 2 + xxx +2 ) + bxxxx ( − )( + ) + cxx ( − ) = 0i 0 0 i i 0i 0 i 0 i − x0 xi =2 + +2 + + + a( x0 x 0 xi x i )(). b x0 xi c

Therefore

3 3 3 3 =2 + +2 + + + ∑ki 3 axax0 0 ∑ xaxi ∑i 3 bxbx0 ∑ i 3 c . i=1 i=1 i=1 i=1

Page - 166 N11

By Vieta's theorem  3 = − b ∑ xi ,  i a  c  x x = ,  ∑ i j 1≤i < j ≤ 3 a and

3 3 2 2 = − ∑xi  ∑ xi  2 ∑ xi x j , i=1 i=1  1≤i < j ≤ 3 we have

3 = 2 + + = ′() ∑ki 3 ax0 2 bx 0 c f x0 . i=1

2) When F( x0 , f ( x 0 )) is one of the three zeros, it is obvious that the property holds.

Corollary:

This property holds not only for cubic functions, but also functions of degree n (with n different zeros).

Suppose we have a polynomial function

= − −…… − ≠ f()( x a x x1 )( x x 2 ) ( x xn )(0) a ,

≠ ≠L ≠ where x1 x 2 xn . ( ) ( ≤ ≤ ∈ Ν ) Given a point F( x0, f x 0 ) on the curve and (xi ,0) 1i ni , is one of the zeros for this function.

The equality

n = ′ ∑ ki f() x0 i=1 holds,

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≤ ≤ ∈ Ν where ki ( 1i ni , ) is defined as the slope of the line passing ( ) . across both (xi ,0) and F( x0, f x 0 )

6.2 Property ⅩⅩⅩ

According to Property ⅨⅨⅨ, we have a property about a point on the curve. What about the case of a point not on the curve, like the case of a point on the vertical line passing through a turning point.

Take a cubic function with three different zeros, for any point

F(,) x0 y 0 on the vertical line passing through a turning point for the function, the equality + + = kAFBFCF k k 0 holds,

where kAF is defined as the slope of the line passing through both , , and F and A with kBF and kCF defined similarly. Here A B C are the three zeros for this function.

Proof:

Suppose

Page - 168 N11

f() x= ax3 + bx 2 + cx + d( a ≠ 0) .

Given a point F(,) x0 y 0 on the vertical line passing through a turning

≤ ≤ is point and (xi ,0)(1 i 3) the zero for this function .

Denote y− f() x k =0 i (1≤i ≤ 3) , i − x0 xi

≤ ≤ where ki is the slope of the line passing through both (xi ,0)(1 i 3) and point F .

= Because f( xi ) 0, then we get 3 3 1 k= y ∑i 0 ∑ − i=1 i=1 x0 xi

(xxxx− )( − )( + xxxx − )( − )( + xxxx − )( − ) = y 0102 0203 0103 0  − − −   (x0 x 1 )( x 0 x 2 )( x 0 x 3 ) 

3x2 − 2 xxxx ( + + ) + ( xxxxxx + + ) = y 0 0123 122313 . 0  − − −   (x0 x 1 )( x 0 x 2 )( x 0 x 3 ) 

By  3 = − b ∑ xi ,  i a  c  x x = ,  ∑ i j 1≤i < j ≤ 3 a we can get

3 y 3 ax2 + 2 bx + c  k = 0 0 0 ∑ i  − − −  . i=1 a( x0 x 1 )( x 0 x 2 )( x 0 x 3 ) According to f′( x )= 3 ax2 + 2 bx + c , we have 3 y f′() x  k = 0 0 ∑ i  − − −  . i=1 a( x0 x 1 )( x 0 x 2 )( x 0 x 3 ) ( ) Since x0,() f x 0 is a turning point for this function, which means that

Page - 169 N11

′ = f( x0 ) 0 , therefore

3 = ∑ki 0 . i=1 Corollary:

This property holds not only for cubic functions, but also functions of degree n (with n different zeros).

Suppose we have a polynomial function

= − −…… − ≠ f()( x a x x1 )( x x 2 ) ( x xn )(0) a ,

≠ ≠L ≠ where x1 x 2 xn .

Given a point F(,) x0 y 0 on the vertical line passing through a turning ≤ ≤ ∈ Ν point for this polynomial function and (xi ,0) ( 1i ni , ) is one of the zeros for the function.

The equality

n = ∑ ki 0 i=1 holds,

≤ ≤ ∈ Ν where ki ( 1i ni , ) is defined as the slope of the line passing . through both (xi ,0) and F(,) x0 y 0

6.3 Property Ⅺ

From Property ⅩⅩⅩ, we have a property regarding points on a special line, so we consider the case of a general point in the plane.

Page - 170 N11

Take a cubic function with three different zeros. For any point

F(,) x0 y 0 in the plane and (x0 ,0) is not any one of the zeros for the function, the equality f′() x + + = 0 kAFBFCF k k y0 f() x0 holds, where kAF is defined as the slope of the line passing through both

F and A , with kBF and kCF defined similarly. Here A , B and

C are the three zeros for the function.

Proof:

Suppose

=3 + 2 + + = − − − ≠ fx() ax bx cxdaxxxx(1 )(2 )( xx 3 ) ( a 0) .

Given a point F(,) x0 y 0 while (x0 ,0) is not any one of the zeros for the

≤ ≤ function and(xi ,0)(1 i 3) is a zero for the function.

Then we obtain

y− f() x k =0 i (1≤i ≤ 3) , i − x0 xi

Page - 171 N11

where ki is the slope of the line passing through both (xi ,0) and . F(,) x0 y 0

= Because f( xi ) 0, then we get 3 3 1 k= y ∑i 0 ∑ − i=1 i=1 x0 xi

(xxxx− )( − )( + xxxx − )( − )( + xxxx − )( − ) = y 0102 0203 0103 0  − − −   (x0 x 1 )( x 0 x 2 )( x 0 x 3 ) 

3x2 − 2 xxxx ( + + ) + ( xxxxxx + + ) = y 0 0123 122313 . 0  − − −   (x0 x 1 )( x 0 x 2 )( x 0 x 3 ) 

We have  3 = − b ∑ xi ,  i a  c  x x = ,  ∑ i j 1≤i < j ≤ 3 a therefore

3 y 3 ax2 + 2 bx + c  k = 0 0 0 ∑ i  − − −  . i=1 a( x0 x 1 )( x 0 x 2 )( x 0 x 3 ) But f′( x )= 3 ax2 + 2 bx + c , hence we have

3 y f′() x  k = 0 0 ∑ i  − − −  . i=1 a( x0 x 1 )( x 0 x 2 )( x 0 x 3 ) = − − − ≠ Since f( x ) a ( x x1 )( x x 2 )( x x 3 )( a 0) , we have 3 f′() x = 0 ∑ki y0 . i=1 f() x0 Corollary:

This property holds not only for cubic functions, but also functions of degree n (with n different zeros).

Page - 172 N11

Suppose we have a polynomial function

= − −…… − ≠ f()( x a x x1 )( x x 2 ) ( x xn )(0) a ,

≠ ≠L ≠ where x1 x 2 xn .

Given a point F(,) x0 y 0 in the coordinate plane while (x0 ,0) is not any ≤ ≤ ∈ Ν one of the zeros for the function and (xi ,0) (1i n , i ) is one of the zeros for the function.

The equality n f′() x = 0 ∑ ki y0 i=1 f() x0 holds,

≤ ≤ ∈ Ν where ki (1i n , i ) is defined as the slope of the line passing . through both (xi ,0) and F(,) x0 y 0

Summarize

Obviously, Property ⅨⅨⅨ and Property ⅩⅩⅩ are special cases of Ⅺ Property ⅪⅪ . When (,)x0 y 0 is on the graph of the function, = ⅨⅨⅨ ⅪⅪⅪ i.e. y0 f() x 0 , we can obtain Property from Property . On the other hand, when (,)x0 y 0 is on the vertical line passing through a turning point

′ = ⅩⅩⅩ for the function, i.e. f( x0 ) 0 , we can obtain Property from

PropertyⅪⅪⅪ.

Page - 173 N11

Section 7

The division of the graph of a cubic function

7.1 Property Ⅻ

This property concentrates on how to categorize the graphs of a cubic function based on its roots.

If the three roots to a cubic equation are known, one of which is a real

± root x0 , while the others are complex roots p qi . Then we can deduce the type of the graph of the function corresponding to this equation.

Proof:

Take

f() x= ax3 + bx 2 + cx + d( a ≠ 0) , ± with roots x0 , p qi .

The inflection point can be obtained as follows

 b b   −, f  −  .  3a 3 a 

By Vieta's theorem b x+( p + qi ) + ( p − qi ) x + 2 p − = 0 = 0 , 3a 3 3 which is the x coordinate of the inflection point on the coordinate plane.

Page - 174 N11

Then we can obtain

f′( x )= 3 ax2 + 2 bx + c ( a ≠ 0) , and the x coordinate of the zero for the derivative function is equal to the x coordinate of the turning point for the cubic function.

Thereby

b2 c −3 −b ± b2 −3 ac − b 2 x = = ± a a . turn 3a 3 a 3 By Vieta' theorem , we can obtain

3 2 − ∑xi  3 ∑ xi x j −b i=1  1≤i < j ≤ 3 x = ± . turn 3a 3 1) When

3 2   − > x− p > 3 q ∑xi  3 ∑ xi x j 0 or 0 i=1  1≤i< j ≤3 The function has two turning points (such as f() x= x3 − x ).

2) when

3 2   − = − = ∑xi  3 ∑ xi x j 0 or x0 p3 q i=1  1≤i< j ≤3 The function has no turning point but it has a stationary point (such as

f() x= x3 ).

Page - 175 N11

3) When

3 2   − < − < ∑xi  3 ∑ xi x j 0 or x0 p3 q i=1  1≤i< j ≤3 The function has no turning point (such as f() x= x3 + x ).

Page - 176 N11

Appendix

The initial proof of the corollary of Property ⅥⅥⅥ

Suppose

= − − −L − ≠ fx( ) axxxxxx (1 )( 2 )( 3 ) ( xxan )( 0) , then n 1 fx′( )= axxxxxx ( − )( − )( − )L ( xx − ) × 1 2 3 n ∑ − , i=1 x xi we can obtain

= ′ = − −L − k1 f( x 1 ) a ( x 1 x 2 )( x 1 x 3 ) ( x 1 xn ),  =′ = − −L − k2 f( x2) a ( x 2 x 1 )( x 2 x 3 ) ( x 2 xn ),  L  =′ = − −L − −L − kfxaxxxxi ()(i i 1 )(i 2 )( xxxxi i−1 )( i i+1 )( xx i n ),  L  =′ = − −L − kn f( x n ) a ( x n x1 )( xn x2 ) ( xn x n−1 ),

n  i−1  ()−1 × ∏ ()x− x  n ∑ j k ∑ 1= 1 × i=1  1≤j < k ≤ n , j , k ≠ i  − . i=1 ki a ∏ ()xi x j 1≤i < j ≤ n

According to Lemma 5.1.3.2, the determinant Dn/ i is defined as follows

Page - 177 N11

1 1L 1 1L 1 L L x1 x 2 xi−1 x i + 1 xn = 2 2 L 2 2 L 2 = − Dn/ i x 1 x 2 xi−1 x i+ 1 xn ∏ ()xk x j 1≤j < k ≤ n , j , k ≠ i , M MMMM n−2 n − 2 L n−2 n − 2 L n−2 x1 x 2 xi−1 x i + 1 xn

thus

n−1 n ( ) − (− 1)2 ×() − 1 i 1 × D  n ∑n/ i  1 =1 × i=1 ∑ − i=1 ki a ∏ ()xi x j , 1≤i< j ≤ n

n −1  where   is the number of ways of selecting 2 things from (n-1).   2  Our goal is to prove

n − ()−1i 1 ×D  = 0 ∑n/ i  . i=1

According to induction, suppose for the case n= k the equation holds,

then for the case n= k +1 :

According to Lemma 5.1.3.1, = k −1 × Dn/ i ∑ xj A j , 1≤j ≤ k +1, j ≠ i

k −1 where Aj is defined as the cofactor of x j .

Page - 178 N11

k +1 k+1   ()− i−1 × =() −i−1 × k−1 × ∑1 Dn/i ∑ 1 ∑ x jA j  i=1 i=1  1≤ j≤ k +1, j ≠ i 

 − i−1  , =xk 1 ×() −1 × A  ∑j ∑  j() Dn/ i  1≤j ≤ k + 1 1≤i ≤ k + 1, i ≠ j  A xk −1 where j() Dn/ i is defined as the cofactor of j which is an element of the determinant Dn/ i . − ()−1 i 1 A The sum ∑ j() Dn/ i is exactly the sum of some (k-1) 1≤i ≤ k + 1, i ≠ j order Vandermonde determinant and the number of those determinants is k .

1) while i> j

1 1L 1 1L 1 1L 1 L L L x1 x 2 xj−1 x j + 1 xi−1 xi + 1 xk +1

k+ j 2 2 2 2 2 2 2 A =() −1 x xL x− x + L x− x + L x + j() Dn/ i 1 2 j1 j 1 i1 i 1 k 1 MMMMMMM k−2 k − 2 L k−2 k − 2 L k−2 k − 2 L k−2 x1 x 2 xj−1 x j + 1 xi−1 x i + 1 xk+1

2) while i< j

1 1L 1 1L 1 1L 1 L L L x1 x 2 xi−1 x i + 1 xj−1 xj + 1 xk+1

k−1 + j 2 2 2 2 2 2 2 A =() −1 x xL x− x + L x− x + L x + j() Dn/ i 1 2 i1 i 1 j1 j 1 k 1 MMMMMMM k−2 k − 2 L k−2 k − 2 L k−2 k − 2 L k−2 x1 x 2 xi−1 x i + 1 xj−1 x j + 1 xk+1

Page - 179 N11

i= j −1 A Hence we have, when , the sign of the determinant j() Dn/ i is j−2 + k − 1 + j 2j+ k − 3 ()()−1 = −1 , i= j +1 A when , the sign of the determinant j() Dn/ i is j+ k + j 2 j+ k ()()−1 = − 1 .

So we can prove that the signs of any two of the determinants which are contiguous are opposite. LL Let x1,, x 2 xj− 1 x j + 1 x k + 1 correspond separately to j jLL j j j x1,, x 2 xj− 1 x j x k .

Hence

1 1L 1 1L 1 j j L j j L j x1 x2 xi−1 xi+1 xk j = j 2 j 2 L j 2 j 2 L j 2 Dn/ i ()()()()() x 1 x2 xi−1 xi+1 xk , MMMMM − − − − − j k 2 j k 2 L j k 2 j k 2 L j k 2 ()()()()()x1 x2 xi−1 xi+1 xk so

k − − ()−1 i 1 A =() −1 i 1 × D j  ∑j() Dn/ i ∑ n/ i  . 1≤i ≤ k + 1, i ≠ j i=1

According to induction, we have

k − ()−1i 1 ×D j  = 0 ∑ n/ i  . i=1

Page - 180 N11

Therefore

k+1 − ()−1i 1 ×D  = 0 ∑n/ i  . i=1

Clearly, when n = 2

2 − ()−1i 1 ×D  = 1 − 1 = 0 ∑n/ i  . i=1

By induction, we prove that for any n ≥ 2 ,

n − ()−1i 1 ×D  = 0 ∑n/ i  , i=1 then

n−1 n ( ) − −2 ×() −i 1 ×  ( 1)∑ 1 Dn/ i n 1 1   ∑ = × i=1 = 0 − , i=1 ki a ∏ ()xi x j 1≤i < j ≤ n and the conclusion is proved.

Page - 181 N11

Bibliography

[1]人教版高中数学必修[1][1][1]人教版高中数学必修1. 人民教育出版社,2007.人民教育出版社,2007.,2007.,2007.

[2]人教版高中数学[2][2][2]人教版高中数学选修人教版高中数学选修选修选修 1-11 1-1--1.11. 人民教育出版社,2007.人民教育出版社,2007.,2007.,2007.

[3]刘玉琏[3][3][3]刘玉琏刘玉琏刘玉琏 傅沛仁傅沛仁傅沛仁 林玎林玎林玎 苑德馨苑德馨苑德馨 刘宁刘宁刘宁 数学分析讲义(数学分析讲义(第五版((第五版)第五版第五版)上册))上册.上册上册...

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[5]Wikipedia

Page - 182 N11

Acknowledgements

Thanks for my teachers’ help and encouragement, they gave me

some suggestions while I was writing this paper. Thanks to my parents

and classmates for support and encouragement. Thanks to them, I have

the courage and confidence to finish this paper.

There are undoubtedly some mistakes in this paper which remain uncorrected. I hope you can point them out. Thanks a lot.

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