1. Consider the Lagrange coefficient polynomial L2.x(x) that are used for quadratic interpolation at the nodes x0,X1, and x2. Define g(x)=L2,0(x)+L2,1(x)+L22(x)-1. a. Show that g is a polynomial of degree < 2. b. Show that g(x)=0 for k=0,1,2.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
Question
Exercises:
1. Consider the Lagrange coefficient polynomial L2.a(x) that are used for quadratic
interpolation at the nodes xo,X1, and x2. Define g(x)=L2,0(x)+L21(x)+L22(x)-1.
a. Show that g is a polynomial of degree < 2.
b. Show that g(xx)%3D0 for k=0,1,2.
2. Consider the function f(x)=sin(x) on the interval [0,1]. Use theorem(3.3) to determine the
step size h so that:
a. linear Lagrange interpolation has an accuracy of 10°.
b. quadratic Lagrange interpolation has an accuracy of 10°.
c. cubic Lagrange interpolation has an accuracy of 10".
Transcribed Image Text:Exercises: 1. Consider the Lagrange coefficient polynomial L2.a(x) that are used for quadratic interpolation at the nodes xo,X1, and x2. Define g(x)=L2,0(x)+L21(x)+L22(x)-1. a. Show that g is a polynomial of degree < 2. b. Show that g(xx)%3D0 for k=0,1,2. 2. Consider the function f(x)=sin(x) on the interval [0,1]. Use theorem(3.3) to determine the step size h so that: a. linear Lagrange interpolation has an accuracy of 10°. b. quadratic Lagrange interpolation has an accuracy of 10°. c. cubic Lagrange interpolation has an accuracy of 10".
Expert Solution
steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Knowledge Booster
Power Series
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, advanced-math and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,