Quadratic function: Difference between revisions
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| [[local maximum value]] and points of attainment || Case <math>a > 0</math>: No local maximum value<br>Case <math>a < 0</math>: local maximum value <math>c - \frac{b^2}{4a}</math> is attained at point <math>\frac{-b}{2a}</math>. | | [[local maximum value]] and points of attainment || Case <math>a > 0</math>: No local maximum value<br>Case <math>a < 0</math>: local maximum value <math>c - \frac{b^2}{4a}</math> is attained at point <math>\frac{-b}{2a}</math>. | ||
|- | |- | ||
| [[local minimum value]] and points of attainment || Case <math>a > 0</math>: local | | [[local minimum value]] and points of attainment || Case <math>a > 0</math>: local minimum value <math>c - \frac{b^2}{4a}</math> is attained at point <math>\frac{-b}{2a}</math>.<br>Case <math>a < 0</math>: no local minimum value | ||
|- | |- | ||
| [[point of inflection|points of inflection]] || None | | [[point of inflection|points of inflection]] || None |
Revision as of 02:38, 26 May 2014
Definition
A quadratic function is a function of the form:
where are real numbers and . In other words, a quadratic function is a polynomial function of degree two.
Unless otherwise specified, we consider quadratic functions where the inputs, outputs, and coefficients are all real numbers.
Related notions
- Quadratic function of multiple variables
- L1-regularized quadratic function
- L1-regularized quadratic function of multiple variables
Key data
Item | Value |
---|---|
Default domain | all real numbers, i.e., all of |
range | Case : Case : |
period | not a periodic function |
local maximum value and points of attainment | Case : No local maximum value Case : local maximum value is attained at point . |
local minimum value and points of attainment | Case : local minimum value is attained at point . Case : no local minimum value |
points of inflection | None |
derivative | The linear function |
second derivative | The constant function with constant value |
derivative | The first and second derivative are as described above. All higher derivatives are zero. |
antiderivative | with . |
important symmetry | The graph of the function has mirror symmetry about the line (the vertical line through the unique critical point) |
interval description based on increase/decrease and concave up/down | Case : increasing and concave down on decreasing and concave down on Case : decreasing and concave up on increasing and concave up on |
power series and Taylor series | The power series is the same as the polynomial, i.e., the power series about any point simplifies to the polynomial (written in increasing order of powers of as ) |
Key invariants
Expression | Name | Significance in the case |
---|---|---|
(unnormalized) discriminant | The discriminant is positive (i.e., ) iff the quadratic has two distinct real roots The discriminant is zero (i.e., ) iff the quadratic has a real root of multiplicity two The discriminant is negative (i.e., ) iff the quadratic has no real roots | |
leading coefficient | Leading coefficient is positive (i.e., ) iff that the function approaches infinity as and as Leading coefficient is negative (i.e., ) iff that the function approaches infinity as and as | |
sum of roots | If the roots are (counted with multiplicity, and they need not be real roots), then the polynomial is and the sum of roots is . | |
product of rots | If the roots are (counted with multiplicity, and they need not be real roots), then the polynomial is and the product of roots is . | |
normalized discriminant | Similar observations as for the discriminant. |
Transformation
Any quadratic function can be expressed as a composite of a linear function, the square function, and another linear function. Explicitly, we can write:
In other words, it is a composite of three functions:
Differentiation
First derivative
Computation as a linear combination of monomials
We can differentiate the polynomial termwise, using the fact that it is a linear combination of monomials:
Now, using the rule for differentiation of power functions, namely , we obtain:
Computation using the transformed expression
We rewrote the polynomial as:
We differentiate:
The second expression, being constant, differentiates to zero. The first expression is a composite of and the square function. We can use the chain rule for differentiation to differentiate it. The answer we obtain is:
Simplifying this, we get:
Second derivative
Computation as a linear combination of monomials
We can differentiate the polynomial termwise, using the fact that it is a linear combination of monomials:
Now, using the rule for differentiation of power functions, namely , we obtain:
Computation using the transformed expression
We rewrote the polynomial as:
We differentiate:
We get the answer: