Creating a Function-Derivatives

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In summary, a function-derivative is a mathematical concept that measures the rate of change of a function at a specific point. It is important because it allows us to analyze function behavior and make predictions. To create a function-derivative, one must use derivative rules and common mistakes include forgetting to use the correct rule or considering the chain rule. To check for correctness, the second derivative test can be used.
  • #1
salemchic05
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I need to create a function that has one turning point and one point of inflection. I have no idea what I'm doing!
 
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  • #2
Try xe-x. The general idea is that is has a max (the turning point) and then asymptotically goes to 0 (as x becomes infinite), so it needs to switch from concave to convex along the way.
 
  • #3


Creating a function with a turning point and a point of inflection can seem daunting at first, but with some guidance, it can become much easier. A turning point is a point on the graph of a function where the slope changes from positive to negative or vice versa. A point of inflection is where the concavity of the graph changes from concave up to concave down or vice versa.

To create a function with these characteristics, we can start by thinking about the basic shape of the graph we want to create. In this case, we want a graph that has a single hump or bump, with the turning point at the top of the hump and the point of inflection at the bottom. One way to achieve this is by using a quadratic function, which has the general form of f(x) = ax^2 + bx + c.

To ensure that our function has a turning point and a point of inflection, we need to make sure that the coefficient of the x^2 term is not zero. This will give us a parabola that has a single turning point. Next, we need to determine the values of a, b, and c that will give us the desired shape of the graph.

To create a turning point at the top of the hump, we want the coefficient of the x term (b) to be zero. This will eliminate the linear term in our function, creating a symmetrical parabola. Now, we can focus on the value of a, which will determine the steepness of the hump. To create a point of inflection at the bottom of the hump, we want the value of a to be negative. This will give us a parabola that starts off concave up, then becomes concave down, creating the desired point of inflection.

For example, let's say we want our turning point to be at (2, 5) and our point of inflection to be at (4, 3). We can use the information we have to create a system of equations to solve for the values of a, b, and c.

f(2) = 5: 4a + 2b + c = 5
f'(2) = 0: 8a + b = 0
f(4) = 3: 16a + 4b + c = 3
f''(4) = 0:
 

What is a function-derivative?

A function-derivative is a mathematical concept that represents the rate of change of a function at a specific point. It is a measure of how much a function changes as its input (x-value) changes.

Why are function-derivatives important?

Function-derivatives are important because they allow us to analyze the behavior of a function and make predictions about its future values. They are also used in many real-world applications such as in physics, economics, and engineering.

How do you create a function-derivative?

To create a function-derivative, you need to use the derivative rules, such as the power rule, product rule, quotient rule, and chain rule. These rules allow you to find the derivative of a function by using basic algebraic operations and differentiation techniques.

What are some common mistakes when creating function-derivatives?

Some common mistakes when creating function-derivatives include forgetting to use the correct derivative rule, making errors in algebraic simplifications, and forgetting to consider the chain rule when the function is composed of multiple functions.

How do you check if a function-derivative is correct?

To check if a function-derivative is correct, you can use the second derivative test, which involves taking the derivative of the derivative. If the second derivative is positive, the function is concave up and the original function is increasing. If the second derivative is negative, the function is concave down and the original function is decreasing.

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