Use the inverse function theorem to estimate the change in the roots

In summary, we can use the inverse function theorem to estimate the change in the roots of a cubic polynomial when the coefficients are changed by a given amount.
  • #1
ianchenmu
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Homework Statement


Let [itex]p(\lambda )=\lambda^3+a_2\lambda^2+a_1\lambda+a_0=(\lambda-x_1)(\lambda-x_2)(\lambda-x_3)[/itex] be a cubic polynomial in 1 variable [itex]\lambda[/itex]. Use the inverse function theorem to estimate the change in the roots [itex]0<x_1<x_2<x_3[/itex] if [itex]a=(a_2,a_1,a_0)=(-6,11,-6)[/itex] and [itex]a[/itex] changes by [itex]\Delta a=0.01a[/itex].

Homework Equations



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The Attempt at a Solution


How can I use the inverse function theorem to estimate?
 
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  • #2


The inverse function theorem can be used to estimate the change in the roots of a polynomial when the coefficients are changed. In this case, we can use the following steps:

1. First, we need to find the derivative of the polynomial p(\lambda) with respect to the coefficients a_i. This can be done by expanding the polynomial and taking the derivative of each term.

2. Next, we need to calculate the inverse of the derivative matrix. This can be done by using the formula: (d/dx)^-1 = (1/det(dx/dx))*adj(dx/dx), where adj(dx/dx) is the adjugate matrix of the derivative.

3. Once we have the inverse of the derivative matrix, we can use it to estimate the change in the roots of the polynomial. The formula for this is given by: \Delta x = -(d/dx)^-1 * \Delta a, where \Delta a is the change in the coefficients.

4. Finally, we can use the estimated change in the roots to find the new values of the roots. This can be done by adding the estimated change to the original values of the roots.

In this case, we have a cubic polynomial with three roots, so the estimated change in the roots would be a 3x1 matrix. By following the above steps, we can estimate the change in the roots and find the new values for x_1, x_2, and x_3 when the coefficients change by 0.01 times their original values.
 

Related to Use the inverse function theorem to estimate the change in the roots

1. How does the inverse function theorem help with estimating the change in roots?

The inverse function theorem states that if a function is continuously differentiable and its derivative is non-zero at a point, then the function is invertible in a neighborhood of that point. This means that we can use the inverse function to find an estimate of the change in roots by finding the change in the input values.

2. Can the inverse function theorem be used for any type of function?

No, the inverse function theorem only applies to functions that are continuously differentiable and have a non-zero derivative at a point. Functions that are not differentiable or have a zero derivative at a point cannot be inverted using this theorem.

3. What is the significance of the derivative being non-zero in the inverse function theorem?

The derivative being non-zero at a point indicates that the function is locally one-to-one, meaning that there is a unique output for every input in a small neighborhood around that point. This is important in finding an estimate for the change in roots because it allows us to use the inverse function to find the change in input values.

4. How accurate is the estimate obtained using the inverse function theorem?

The accuracy of the estimate depends on how closely the function and its inverse behave in the neighborhood of the point in question. Generally, the smaller the neighborhood, the more accurate the estimate will be. However, if the function is not well-behaved or has steep slopes, the estimate may not be very accurate.

5. Can the inverse function theorem be used to find the exact change in roots?

No, the inverse function theorem can only provide an estimate for the change in roots. To find the exact change, we would need to solve the original function for the roots, which may not always be possible. The inverse function theorem is a useful tool for obtaining a close approximation of the change in roots, but it cannot give us the exact values.

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