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.
consider the function graphed
![**Graph Analysis and Interval Determination**
**Graph Description:**
The graph represents a piecewise continuous function plotted on a coordinate plane with the x-axis ranging from -10 to 10 and the y-axis ranging from -10 to 10. Key features of the graph include:
1. From x = -10 to x = 0, the function is constant at y = 9.
2. At x = 0, there is a discontinuous drop from y = 9 to y = 3.
3. From x = 0 to x = 2, the function remains constant at y = 3.
4. At x = 2, the function begins to increase, reaching a peak at approximately (4, 6.5).
5. From approximately x = 4 to x = 6, the function decreases and attains a value at approximately y = 3.
6. From x = 6, the function drops sharply and continues to decrease, reaching approximately y = -10 as it approaches x = 10.
**Intervals of Decrease:**
To determine where the function is decreasing, one must identify the segments of the graph where the slope is negative:
1. From x = 0 to 2, the function remains constant at y = 3, hence it's neither increasing nor decreasing.
2. From approximately x = 4 to x = 6, the function is decreasing from a peak at y = 6.5 to approximately y = 3.
3. From x = 6 to 10, the function continues to decrease from approximately y = 3 to y = -10.
Therefore, the function is decreasing on the following intervals:
\[ (4, 6) \cup (6, 10) \]
**Task:**
Give the interval(s) where the function is decreasing and join multiple intervals with a union, \( U \).
**Answer:**
The function is decreasing on the union of the intervals:
\[ (4, 6) \cup (6, 10) \]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F07450324-4898-4505-8a10-20a625d5cb7d%2F277737db-862c-4eb0-8a51-e288d8508fc6%2Fw3svxgu.png&w=3840&q=75)
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