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.
![**Polynomial Zeros and Multiplicity**
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**Concept: Counting Polynomial Zeros with Multiplicity**
The problem involves determining the number of zeros of a given polynomial function, considering the concept of multiplicity. The function in question is as follows:
\[ f(x) = 6x^7 - 7x^5 + 9x - 2 \]
**Question:**
The number of zeros of \( f(x) = 6x^7 - 7x^5 + 9x - 2 \) is \( \_\_\_\_ \), provided that each zero is counted according to its multiplicity.
**Explanation:**
When calculating the number of zeros of a polynomial function, it is essential to account for each zero's multiplicity.
**Multiplicity** of a zero refers to the number of times that particular zero appears. For example, if \( x = 2 \) is a zero of the polynomial and it makes the polynomial \( g(x) \) become zero at \( x = 2 \) multiple times, the zero x = 2 may be captured as occurring more than once.
For a polynomial of degree \( n \), there are \( n \) zeros when counting multiplicity.
In the given polynomial function \( f(x) \):
- The highest power of \( x \) is \( x^7 \), thus the polynomial is of degree 7.
- Therefore, the number of zeros, counting multiplicity, is 7.
By answering as follows:
**Answer:**
The number of zeros of \( f(x) = 6x^7 - 7x^5 + 9x - 2 \) is **7**, provided that each zero is counted according to its multiplicity.
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