How Do You Solve 4x^2 - e^x = 0 Using Numerical Methods?

In summary, to find the intervals containing solutions to the equation 4x^2 - e^x = 0, one could either expand e^x using Taylor series or use the bisection method. To use the bisection method, two points would need to be selected. Another option would be to plot the two functions, y1(x)=4x^2 and y2(x)=e^x, and find the intersections.
  • #1
stunner5000pt
1,465
4
Find the intervals containing solutions to the following equation

[tex] 4x^2 - e^x = 0 [/tex]
I haven o clue on where to start really?
WOuldi expand e^x using taylor series? i mean one could do this
[tex] x - 2ln x = ln 4 [/tex]
so then would i do log expansion by taylor series? Or would i use bisection method? But how owuld i pick the two points for bisection method? Please assist!

And as always, your help is greatly appreciated!
 
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  • #2
stunner5000pt said:
Find the intervals containing solutions to the following equation

[tex] 4x^2 - e^x = 0 [/tex]
I haven o clue on where to start really?
WOuldi expand e^x using taylor series? i mean one could do this
[tex] x - 2ln x = ln 4 [/tex]
so then would i do log expansion by taylor series? Or would i use bisection method? But how owuld i pick the two points for bisection method? Please assist!

And as always, your help is greatly appreciated!

Why not just plot:

[tex]y1(x)=4x^2[/tex]

and

[tex]y2(x)=e^x[/tex]

interesections, bingo-bango.
 
  • #3


I would suggest using a numerical method such as the bisection method or the Newton-Raphson method to find the intervals containing solutions to the equation 4x^2 - e^x = 0. These methods involve iteratively narrowing down the intervals until a solution is found within a certain tolerance.

To use the bisection method, you would first need to pick two points within the interval of interest and then evaluate the function at those points. If the function values have opposite signs, then there is a root within that interval. You can then divide the interval in half and repeat the process until the interval is small enough to contain the solution.

Alternatively, you could use the Newton-Raphson method which involves choosing an initial guess for the solution and then using the derivative of the function to refine the guess until it converges to the actual solution. This method may be more efficient than the bisection method, but it requires knowledge of the derivative of the function.

In this case, both methods could potentially work, but it may be more straightforward to use the bisection method since it does not require knowledge of the derivative. Whichever method you choose, it is important to carefully select the initial interval or guess to ensure that the method will converge to the correct solution. I would also recommend using a computer program or calculator to help with the calculations and iterations.
 

FAQ: How Do You Solve 4x^2 - e^x = 0 Using Numerical Methods?

What are the main types of numerical methods?

There are three main types of numerical methods: root-finding methods, interpolation methods, and integration methods. Root-finding methods are used to find the roots of a function, interpolation methods are used to approximate a function between known data points, and integration methods are used to approximate the area under a curve.

Why are numerical methods important?

Numerical methods are important because they allow us to solve complex mathematical problems that would be difficult or impossible to solve analytically. They are also used to model and simulate real-world systems, and to analyze large sets of data.

What are some common applications of numerical methods?

Numerical methods are used in a wide range of fields, including engineering, physics, economics, and computer science. They are used to solve differential equations in engineering and physics, to optimize financial portfolios in economics, and to simulate fluid dynamics in computer science.

How do numerical methods differ from analytical methods?

Analytical methods involve solving equations using algebraic manipulation and mathematical formulas, while numerical methods use algorithms and computational techniques to approximate solutions. Analytical methods are preferred when exact solutions are needed, but numerical methods are often more practical for complex problems.

What are some potential sources of error in numerical methods?

There are several sources of error in numerical methods, including rounding errors from representing numbers with finite precision, truncation errors from approximating infinite processes, and algorithmic errors from using simplified models or assumptions. It is important to choose appropriate methods and take steps to minimize these errors.

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