How Does Quadratic Approximation Determine Local Max/Min?

In summary, the conversation discusses how to find maxima and minima for a quadratic function of one variable and how derivatives are involved. It also mentions applying the same concepts to multivariable functions, specifically by visualizing a 3-D graph and using a special kind of derivative. The conversation also briefly mentions completing the square to find the vertex of a parabola, which can be helpful in finding the maxima and minima of a quadratic function.
  • #1
Chadlee88
41
0
hey can som1 please help, i know how to find the quadratic approximation for a given function but i don't know how the quadratic approximation determines a local max/min :confused: This is with regard to multivariable functions. thanks
 
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  • #2
If you have a quadratic function of one variable, how do you find any maxima and minima of that function? How do you determine if any points you find are maxima or minima? How are derivatives involved?

Now for multivariable functions, you do much the same thing. But what special kind of derivative do you need to use when dealing with multivariable equations? Do you need to do anything special when finding local maxima and minima of multivariable equations?

Hint -- when thinking about multivariable functions, I like to think of a 3-D plot of a function z = f(x,y). Picture a 3-D surface running through the x-y-z cube. Then think about when there are bumps and such in that surface -- how do you find where they are?
 
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  • #3
It might help to recall that a graph of a quadratic function is a parabola.

Do you remember completing the square to find the vertex of a parabola?
 

FAQ: How Does Quadratic Approximation Determine Local Max/Min?

What is quadratic approximation?

Quadratic approximation is a mathematical method used to approximate a complex function with a simpler quadratic function. It is often used in calculus and optimization problems to find an approximate solution.

How is quadratic approximation different from linear approximation?

Linear approximation uses a straight line to approximate a function, while quadratic approximation uses a parabola. This allows for a more accurate representation of the function, especially for more complex or nonlinear functions.

What is the purpose of using quadratic approximation?

The purpose of using quadratic approximation is to simplify a complicated function and make it easier to work with. It can also help in finding an approximate solution to a problem that may not have a straightforward solution.

What are the advantages of using quadratic approximation?

One advantage of quadratic approximation is that it can help in visualizing and understanding a complex function by reducing it to a simpler form. It can also provide a good estimate for the behavior of the function near a specific point.

How is quadratic approximation used in real-world applications?

Quadratic approximation has many real-world applications, including in physics, engineering, economics, and statistics. It can be used to model and analyze data, optimize processes, and make predictions. For example, it can be used to approximate the trajectory of a projectile, determine the optimal shape of a bridge, or predict the demand for a product.

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