Linearization Problem: Solving for Vout in Original and Shifted Coordinates

In summary, to linearize the equation Vout = (10^v)*sin(x) about x=0, 0.1, and 1, we can use the Taylor series expansion. This gives us the linearized equations Vout = (10^v)*x, Vout = (10^v)*sin(0.1) + (10^v)*(cos(0.1))(x-0.1), and Vout = (10^v)*sin(1) + (10^v)*(cos(1))(x-1) for x=0, 0.1, and 1 respectively. These equations can be used to approximate the original equation in the shifted coordinates.
  • #1
grothem
23
1

Homework Statement


Linearize the equation

Vout = (10^v)*sin(x)

about x=0,0.1, and 1. Write the equation in both the original coordinates and the shifted (linearized) coordinates.

Homework Equations


y=f(a)+f'(a)(x-a)

The Attempt at a Solution


dVout/dx = (10^v)*cos(x)
evaluating that equation at x=0,0.1, and 1 gives me
10^v, 10^v*(.995), and 10^v*(.54) , respectively
therefore, Vout = 10^v*sin(0)+10^v*(x-0) for x=0, and similar for x=0.1, and 1. This doesn't seem right though, and I'm not sure how to write the equation in the shifted coordinates.
 
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  • #2


Hello,

Thank you for your post. To linearize the equation Vout = (10^v)*sin(x) about x=0, 0.1, and 1, we can use the Taylor series expansion. The general form of the Taylor series expansion for a function f(x) about a point a is given by:

f(x) = f(a) + f'(a)(x-a) + f''(a)(x-a)^2/2! + f'''(a)(x-a)^3/3! + ...

Applying this to our equation Vout = (10^v)*sin(x), we get:

Vout = (10^v)*sin(0) + (10^v)*cos(0)(x-0) + (10^v)*(-sin(0))(x-0)^2/2! + (10^v)*(-cos(0))(x-0)^3/3! + ...

Simplifying this, we get:

Vout = 0 + (10^v)*(x) + 0 + 0 + ...

Therefore, the linearized equation about x=0 is given by:

Vout = (10^v)*x

Similarly, for x=0.1 and x=1, the linearized equations would be:

Vout = (10^v)*sin(0.1) + (10^v)*(cos(0.1))(x-0.1)

Vout = (10^v)*sin(1) + (10^v)*(cos(1))(x-1)

I hope this helps. Let me know if you have any further questions.
 

1. What is the linearization problem?

The linearization problem is a mathematical concept that involves approximating a nonlinear function with a linear function. It is used to simplify complex equations and make them easier to solve.

2. Why is the linearization problem important?

The linearization problem is important because it allows scientists to make predictions and solve equations in a more efficient and accurate manner. It is also used in various fields such as physics, engineering, and economics.

3. How is the linearization problem solved?

The linearization problem is solved by using the tangent line approximation method. This involves finding the slope of the tangent line at a specific point on the nonlinear function and using it to create a linear equation that closely approximates the original function.

4. What are some real-world applications of the linearization problem?

The linearization problem has numerous real-world applications. For example, it is used in economic forecasting to predict future trends and in physics to model complex systems. It is also used in engineering to design and optimize structures and processes.

5. Are there any limitations to the linearization problem?

Yes, there are limitations to the linearization problem. It is only accurate for small changes in the input variables and may not accurately represent the original function for larger values. Additionally, it can only be used for functions that have a well-defined derivative.

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