Numerical Methods Continuous Fourier Series Part: Continuous Fourier Series
For more details on this topic Go to Click on Keyword Click on Continuous Fourier Series
You are free to Share – to copy, distribute, display and perform the work to Remix – to make derivative works
Under the following conditions Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.
Chapter 11.02: Continuous Fourier Series Lecture # 2 For a function with period “T” continuous Fourier series can be expressed as The “average” function value between the time interval [0,T] is given by (22) (23)
Even and Odd functions are described as (24) (25) Continuous Fourier Series
Derivation of formulas for Integrating both sides with respect to time, one gets The second and third terms on the right hand side of the above equations are both zeros (26)
(27) (28) Derivation of formulas for
Now, if both sides are multiplied by and then integrated (29) Derivation of formulas for
The first and second terms on the RHS of Equation (29) are zero. The third RHS term of Equation (29) is also zero, with the exception when (30) Derivation of formulas for
Similar derivation can be used to obtain Derivation of formulas for
THE END
This instructional power point brought to you by Numerical Methods for STEM undergraduate Committed to bringing numerical methods to the undergraduate Acknowledgement
For instructional videos on other topics, go to This material is based upon work supported by the National Science Foundation under Grant # Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
The End - Really
Numerical Methods Continuous Fourier Series Part: Example 1
For more details on this topic Go to Click on Keyword Click on Continuous Fourier Series
You are free to Share – to copy, distribute, display and perform the work to Remix – to make derivative works
Under the following conditions Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.
Chapter 11.02: Example 1 (Contd.) Lecture # 3 Using the continuous Fourier series to approximate the Find the Fourier coefficients and Figure 1: A Periodic Function following periodic function in Fig (1).
Example 1 cont. From Equations (23-25), one obtains :
Example 1 cont.
From this equation, we obtain the Fourier coefficients for = = = = = = = = Example 1 cont.
We can now find the values of Example 1 cont. from the following equations,
For the Fourier coefficients can be = = e-6 0 = = e-6 0 = = e-6 0 = = e-6 0 Example 1 cont. computed as
Example 1 conclusion In conclusion, the periodic function f(t) (shown in Figure 1) can be expressed as: where and have already computed For one obtains:
THE END
This instructional power point brought to you by Numerical Methods for STEM undergraduate Committed to bringing numerical methods to the undergraduate Acknowledgement
For instructional videos on other topics, go to This material is based upon work supported by the National Science Foundation under Grant # Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
The End - Really
Numerical Methods Continuous Fourier Series Part: Complex Form of Fourier Series
For more details on this topic Go to Click on Keyword Click on Continuous Fourier Series
You are free to Share – to copy, distribute, display and perform the work to Remix – to make derivative works
Under the following conditions Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.
Chapter :Complex form of Fourier Series (Contd.) Lecture # 4 Using Euler’s identity (31) (32) and
Thus, the Fourier series can be casted in the following form: (33) (34) Complex form of Fourier Series cont.
Define the following constants: Hence: (35) (36) (37) Complex form of Fourier Series cont.
Using the even, odd (38) properties Equation (37) becomes: Complex form of Fourier Series cont.
Complex form of Fourier Series cont. Substituting Equations (35,36, 38) into Equation (34), one gets:
or (39) Complex form of Fourier Series cont.
Complex form of Fourier Series cont. The coefficient can be computed, by substituting or (40) Equations (24, 25) into Equation (36) to obtain:
Substituting Equations (31, 32) into the above equation, one gets: (41) Thus, Equations (39, 41) are the equivalent complex version of Equations (21, 25). Complex form of Fourier Series cont.
THE END
This instructional power point brought to you by Numerical Methods for STEM undergraduate Committed to bringing numerical methods to the undergraduate Acknowledgement
For instructional videos on other topics, go to This material is based upon work supported by the National Science Foundation under Grant # Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
The End - Really