Can Lagrange's Interpolation Be Used to Prove e^tD(f(x))=f(x+t)?

Since both side are holomorphic functions of t in some open interval containing 0, if they are equal, they must have the same coefficients of t^(n). The coefficient of t^n in LHS is D^n(f)(0)/n!, where D^n is n-th derivative. The coefficient of t^n in RHS is (D^n(f)(x))/n!, which is the n-th Taylor coefficient of f(x) at x. By the uniqueness of Taylor series, D^n(f)(0)=D^n(f)(x), and this is true for all n. So D^n(f)=0 for all n. So f(x) is constant.In summary, we can prove that e^(tD)(f(x))=f
  • #1
cummings12332
41
0

Homework Statement



Let D:R[x]->R[x]be the differentiation operator D(f(x))=f'(x),prove that
e^tD(f(x))=f(x+t) for a real number t

Homework Equations



application of Lagranges interpolation



The Attempt at a Solution


i don't know how to begin or construct the proof here
 
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  • #2
cummings12332 said:

Homework Statement



Let D:R[x]->R[x]be the differentiation operator D(f(x))=f'(x),prove that
e^tD(f(x))=f(x+t) for a real number t

Homework Equations



application of Lagranges interpolation



The Attempt at a Solution


i don't know how to begin or construct the proof here

You didn't write that very grammatically. You mean e^(tD)(f(x))=f(x+t). Write out a Taylor series expansion of f(x+t) around x. Now compare it with e^(tD)=1+tD+(t^2)D^2/2!+(t^3)D^3/3!+... acting on f(x).
 
  • #3
There are many ways, through most are not rigorous.

One way is to expand both side in Taylor series in t.
 

What is Lagrange's interpolation?

Lagrange's interpolation is a mathematical method used to approximate a function using polynomial equations. It was developed by mathematician Joseph-Louis Lagrange in the 18th century.

How does Lagrange's interpolation work?

Lagrange's interpolation works by finding a polynomial equation that passes through a set of given data points. The degree of the polynomial is equal to the number of data points minus one. This method is used to estimate values between the given data points.

What are the advantages of using Lagrange's interpolation?

Lagrange's interpolation is a simple and straightforward method for approximating a function. It can be used with any number of data points, and the resulting polynomial is unique, meaning it will always pass through the given data points.

What are the limitations of Lagrange's interpolation?

One limitation of Lagrange's interpolation is that it can produce inaccurate results if the data points are not evenly spaced. It also requires a high degree polynomial to approximate complex functions, which can lead to computational errors. Additionally, it does not work well with large sets of data points.

What are some practical applications of Lagrange's interpolation?

Lagrange's interpolation is commonly used in numerical analysis and computational mathematics. It has practical applications in fields such as engineering, physics, and economics, where approximating functions from a limited set of data points is necessary for making predictions or modeling systems.

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