The Coefficients of the Quadratic Function

Oct 13, 2025 by pynkocean.com 32 views

Introduction

In today's digital age, computer systems have become an essential part of our daily lives. From personal computers to servers, the demand for faster and more efficient systems is on the rise. One of the key factors that determine the performance of a computer system is the processor speed. However, as we delve deeper into the world of computer systems, we realize that the cost of a system increases with increased processor speeds. In this article, we will explore the relationship between processor speed and the cost of a computer system.

The Cost Function

The cost $C$ of a system as a function of processor speed is estimated as $C = 11S^2 - 3S + 1100$ , where $S$ is the processor speed in MHz. This quadratic function represents the relationship between the cost of a system and its processor speed. To understand this relationship, let's break down the function into its individual components.

The Quadratic Function

A quadratic function is a polynomial function of degree two, which means that the highest power of the variable is two. In this case, the variable is the processor speed $S$ , and the function is $C = 11S^2 - 3S + 1100$ . The general form of a quadratic function is $f(x) = ax^2 + bx + c$ , where $a$ , $b$ , and $c$ are constants.

The Coefficients of the Quadratic Function

In the given function $C = 11S^2 - 3S + 1100$ , the coefficients are $a = 11$ , $b = -3$ , and $c = 1100$ . The coefficient $a$ represents the rate of change of the function with respect to the variable $S$ . In this case, the coefficient $a$ is positive, indicating that the cost of a system increases as the processor speed increases.

The Vertex of the Quadratic Function

The vertex of a quadratic function is the point at which the function reaches its maximum or minimum value. In this case, the vertex of the function $C = 11S^2 - 3S + 1100$ can be found using the formula $S = -\frac{b}{2a}$ . Plugging in the values of $a$ and $b$ , we get $S = -\frac{-3}{2(11)} = \frac{3}{22}$ .

The Cost at the Vertex

To find the cost at the vertex, we plug in the value of $S$ into the function $C = 11S^2 - 3S + 1100$ . This gives us $C = 11\left(\frac{3}{22}\right)^2 - 3\left(\frac{3}{22}\right) + 1100 = \frac{99}{484} - \frac{9}{22} + 1100 = \frac{99 - 198 + 529200}{484} = \frac{529001}{484}$ .

The Maximum Cost

Since the coefficient $a$ is positive, the function $C = 11S^2 - 3S + 1100$ is an increasing function. This means that the cost of a system increases as the processor speed increases. To find the maximum cost, we need to find the value of $S$ at which the function reaches its maximum value.

The Maximum Value of the Function

To find the maximum value of the function, we can use the fact that the function is increasing. This means that the maximum value of the function occurs at the largest possible value of $S$ . Since the function is increasing, the maximum value of the function occurs at the rightmost point of the graph.

The Rightmost Point of the Graph

To find the rightmost point of the graph, we need to find the value of $S$ at which the function reaches its maximum value. Since the function is increasing, the rightmost point of the graph occurs at the largest possible value of $S$ . In this case, the largest possible value of $S$ is infinity.

The Maximum Cost at Infinity

To find the maximum cost at infinity, we need to find the limit of the function as $S$ approaches infinity. This can be done by plugging in the value of $S$ into the function $C = 11S^2 - 3S + 1100$ and taking the limit as $S$ approaches infinity.

The Limit of the Function

To find the limit of the function, we can use the fact that the function is a quadratic function. This means that the limit of the function as $S$ approaches infinity is equal to the coefficient $a$ multiplied by the limit of $S$ as $S$ approaches infinity.

The Limit of $S$ as $S$ Approaches Infinity

Since the function is a quadratic function, the limit of $S$ as $S$ approaches infinity is equal to infinity.

The Maximum Cost at Infinity

The Limit of the Function as $S$ Approaches Infinity

To find the limit of the function as $S$ approaches infinity, we can use the fact that the function is a quadratic function. This means that the limit of the function as $S$ approaches infinity is equal to the coefficient $a$ multiplied by the limit of $S$ as $S$ approaches infinity.

The Maximum Cost

Since the coefficient $a$ is positive, the limit of the function as $S$ approaches infinity is equal to the coefficient $a$ multiplied by infinity. This means that the maximum cost at infinity is equal to the coefficient $a$ multiplied by infinity.

Conclusion

In conclusion, the cost of a computer system increases with increased processor speeds. The cost function $C = 11S^2 - 3S + 1100$ represents the relationship between the cost of a system and its processor speed. The vertex of the function is the point at which the function reaches its maximum or minimum value. The maximum cost at infinity is equal to the coefficient $a$ multiplied by infinity.

References

[1] "Quadratic Functions". Math Open Reference. Retrieved 2023-02-20.
[2] "Vertex of a Quadratic Function". Math Is Fun. Retrieved 2023-02-20.
[3] "Maximum Value of a Quadratic Function". Math Open Reference. Retrieved 2023-02-20.
The Cost of a Computer System Increases with Increased Processor Speeds: Q&A ================================================================================

Introduction

In our previous article, we explored the relationship between processor speed and the cost of a computer system. We discussed the cost function $C = 11S^2 - 3S + 1100$ and how it represents the relationship between the cost of a system and its processor speed. In this article, we will answer some of the most frequently asked questions about the cost of a computer system and its relationship with processor speed.

Q: What is the cost function?

A: The cost function is a mathematical equation that represents the relationship between the cost of a system and its processor speed. In this case, the cost function is $C = 11S^2 - 3S + 1100$ , where $C$ is the cost of the system and $S$ is the processor speed.

Q: What is the vertex of the cost function?

A: The vertex of the cost function is the point at which the function reaches its maximum or minimum value. In this case, the vertex of the cost function is $S = -\frac{b}{2a} = -\frac{-3}{2(11)} = \frac{3}{22}$ .

Q: What is the maximum cost at the vertex?

A: To find the maximum cost at the vertex, we need to plug in the value of $S$ into the cost function $C = 11S^2 - 3S + 1100$ . This gives us $C = 11\left(\frac{3}{22}\right)^2 - 3\left(\frac{3}{22}\right) + 1100 = \frac{99}{484} - \frac{9}{22} + 1100 = \frac{529001}{484}$ .

Q: What is the maximum cost at infinity?

A: Since the coefficient $a$ is positive, the limit of the function as $S$ approaches infinity is equal to the coefficient $a$ multiplied by infinity. This means that the maximum cost at infinity is equal to the coefficient $a$ multiplied by infinity.

Q: How does the cost of a system increase with increased processor speeds?

A: The cost of a system increases with increased processor speeds because the cost function $C = 11S^2 - 3S + 1100$ is an increasing function. This means that as the processor speed increases, the cost of the system also increases.

Q: What is the relationship between the cost of a system and its processor speed?

A: The cost of a system and its processor speed are related by the cost function $C = 11S^2 - 3S + 1100$ . This function represents the relationship between the cost of a system and its processor speed.

Q: How can I use the cost function to estimate the cost of a system?

A: To use the cost function to estimate the cost of a system, you need to know the processor speed of the system. Once you have the processor speed, you can plug it into the cost function $C = 11S^2 - 3S + 1100$ to estimate the cost of the system.

Q: What are some limitations of the cost function?

A: Some limitations of the cost function include:

The cost function assumes that the cost of a system is directly proportional to its processor speed.
The cost function does not take into account other factors that may affect the cost of a system, such as the type of system, the quality of the components, and the manufacturing process.
The cost function is a simplified model that does not capture the complexities of real-world systems.

Conclusion

In conclusion, the cost of a computer system increases with increased processor speeds. The cost function $C = 11S^2 - 3S + 1100$ represents the relationship between the cost of a system and its processor speed. We hope that this Q&A article has provided you with a better understanding of the cost of a computer system and its relationship with processor speed.

References

[1] "Quadratic Functions". Math Open Reference. Retrieved 2023-02-20.
[2] "Vertex of a Quadratic Function". Math Is Fun. Retrieved 2023-02-20.
[3] "Maximum Value of a Quadratic Function". Math Open Reference. Retrieved 2023-02-20.