Linear Approximations for Non-Linear Devices: Finding the Best Fit at x0 = 1.5

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To find the right answer you should use the following steps:1. Calculate the derivative of f(x) at x=x0 to get the slope of the tangent line. In this case, f'(x) = 2x0 = 3.2. Use the point-slope form of a line y-y0 = m(x-x0) to find the equation of the tangent line. In this case, y-2.25 = 3(x-1.5).3. Simplify the equation to get y = 3x-3.4. Therefore, the linear approximation is y = 3x.In summary, the linear approximation for small changes around the point x0 = 1.5 for the non
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mf42
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A non-linear device has the output input relation y = f(x) = x2 (x squared). Assuming the operating point is x0 = 1.5, the linear approximation for small changes would be given by:
(a) y = 1.5x
(b) y = x2 (x squared)
(c) y = 3x
(d) y = 3.5x
(e) none of the above

Can anyone tell me the answer? I was thinking it could be y = x squared?
 
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A linear approximation L(x) would approximate the function f(x) with a line. In other words, around the point x=x0, you'd have [itex]L(x) = mx+b \approx f(x)[/itex]. Geometrically, L(x) is the line tangent to f(x) at x=x0. You're supposed to find the appropriate values of m and b to make that work.

The answer (b) is the one you should immediately see is wrong since it's not a linear function.
 

FAQ: Linear Approximations for Non-Linear Devices: Finding the Best Fit at x0 = 1.5

What is the purpose of linear approximations?

The purpose of linear approximations is to find a linear function that closely approximates the behavior of a non-linear device. This allows for easier analysis and prediction of the device's behavior.

How is the best fit at x0 = 1.5 determined?

The best fit at x0 = 1.5 is determined by finding the linear function that minimizes the sum of squared errors between the actual data points and the predicted values from the linear approximation.

What is the significance of x0 = 1.5 in this context?

In this context, x0 = 1.5 represents the point at which the linear approximation will be most accurate. This is because the function may deviate from linearity at other points, but at x0 = 1.5, the linear approximation will closely match the behavior of the non-linear device.

Can linear approximations be used for any non-linear device?

No, linear approximations are only accurate for non-linear devices that exhibit a linear relationship between the input and output at certain points. If the device's behavior is highly non-linear, a linear approximation may not be suitable.

What are some limitations of using linear approximations?

Linear approximations can only provide an approximate representation of a non-linear device's behavior. They may not accurately predict the device's behavior outside of the range of data used to create the approximation. Additionally, they may not account for factors that affect the device's behavior, such as temperature or wear and tear.

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