In the Taylor series, the remainder term plays a crucial role. The Taylor series is a representation of a function as an infinite sum of terms calculated from the values of its derivatives at a single point. The general form for the Taylor series of a function f ( x ) centered at a is:
f ( x ) = f ( a ) + f ′ ( a ) ( x − a ) + 2 ! f ′′ ( a ) ( x − a ) 2 + 3 ! f ′′′ ( a ) ( x − a ) 3 + … + R n ( x )
Here, R n ( x ) is the remainder term, also known as the error term. The role of the remainder term is critical because:
Represents the error in approximation: The correct answer is (A). The remainder term R n ( x ) highlights the difference between the actual function f ( x ) and its n -th degree polynomial approximation. This means that R n ( x ) tells us how far off our approximation is from the true value of the function.
Approximation quality: As n , the degree of the Taylor polynomial, increases, the remainder term R n ( x ) typically decreases in magnitude for functions that are well-approximated by polynomials. This implies that higher-degree Taylor polynomials usually provide better approximations near the point a .
Influence of function behavior: The accuracy of a Taylor series approximation and the size of the remainder term depend on both the function's behavior and how far x is from the center a .
Therefore, understanding the role of the remainder term is essential in determining the effectiveness and accuracy of Taylor series approximations.