varlable x? -1 Is the leading coefficient positive or negative? The leading coefficient is negative negative Step 3 Use the information in the previous steps and the Leading Coefficient Test to determine the behavior of the function when x is very small and when x is very large (the left-hand and right-hand behavior). I The Leading Coefficient Test states that when.the degree is odd, if the leading coefficient is positive, the graph falls to the left and rises to the right. If negative, the graph rises to the left and falls to the right. Alternatively, when the degree is even, if the leading coefficient is positive, the graph rises to the left and right. If negative, the graph falls to the left and right. (Select all that apply.) O The graph rises to the right. O The graph falls to the right. 7 The graph rises to the left. O The graph falls to the left.
Minimization
In mathematics, traditional optimization problems are typically expressed in terms of minimization. When we talk about minimizing or maximizing a function, we refer to the maximum and minimum possible values of that function. This can be expressed in terms of global or local range. The definition of minimization in the thesaurus is the process of reducing something to a small amount, value, or position. Minimization (noun) is an instance of belittling or disparagement.
Maxima and Minima
The extreme points of a function are the maximum and the minimum points of the function. A maximum is attained when the function takes the maximum value and a minimum is attained when the function takes the minimum value.
Derivatives
A derivative means a change. Geometrically it can be represented as a line with some steepness. Imagine climbing a mountain which is very steep and 500 meters high. Is it easier to climb? Definitely not! Suppose walking on the road for 500 meters. Which one would be easier? Walking on the road would be much easier than climbing a mountain.
Concavity
In calculus, concavity is a descriptor of mathematics that tells about the shape of the graph. It is the parameter that helps to estimate the maximum and minimum value of any of the functions and the concave nature using the graphical method. We use the first derivative test and second derivative test to understand the concave behavior of the function.
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