Presentation of Electrical Engineering ( Maximum Power Transfer Theorem )MohitRaghav19
In this PowerPoint Presentation of Electrical Engineering we study maximum power transfer theorem for AC and DC circuit. In this We study MPTT definition, proof, steps, example, applications,limitations. Follow for more Presentations.
what is Hamilton path and Euler path?
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Vertex(node) and edge
Hamilton path and Hamilton circuit
Euler path and Euler circuit
Degree of vertex and comparison of Euler and Hamilton path
Solving a problem
In electrical engineering, the maximum power transfer theorem states that, to obtain maximum external power from a source with a finite internal resistance, the resistance of the load must equal the resistance of the source as viewed from its output terminals.
This formula book gives simple and useful formulas related to control system. It helps students in solving numerical problems, in their competitive examinations
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CMSC 56 | Lecture 16: Equivalence of Relations & Partial Orderingallyn joy calcaben
Equivalence of Relations & Partial Ordering
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Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
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Presentation of Electrical Engineering ( Maximum Power Transfer Theorem )MohitRaghav19
In this PowerPoint Presentation of Electrical Engineering we study maximum power transfer theorem for AC and DC circuit. In this We study MPTT definition, proof, steps, example, applications,limitations. Follow for more Presentations.
what is Hamilton path and Euler path?
History of Euler path and Hamilton path
Vertex(node) and edge
Hamilton path and Hamilton circuit
Euler path and Euler circuit
Degree of vertex and comparison of Euler and Hamilton path
Solving a problem
In electrical engineering, the maximum power transfer theorem states that, to obtain maximum external power from a source with a finite internal resistance, the resistance of the load must equal the resistance of the source as viewed from its output terminals.
This formula book gives simple and useful formulas related to control system. It helps students in solving numerical problems, in their competitive examinations
Cauchy's integral theorem, Cauchy's integral formula, Cauchy's integral formula for derivatives, Taylor's Series, Maclaurin’s Series,Laurent's Series,Singularities and zeros, Cauchy's Residue theorem,Evaluation various types of complex integrals.
CMSC 56 | Lecture 16: Equivalence of Relations & Partial Orderingallyn joy calcaben
Equivalence of Relations & Partial Ordering
CMSC 56 | Discrete Mathematical Structure for Computer Science
November 21, 2018
Instructor: Allyn Joy D. Calcaben
College of Arts & Sciences
University of the Philippines Visayas
In this slide i am trying my best to describe about the power series. If you face any problem or anything that you can't understand please contact me on facebook:https://www.facebook.com/asadujjaman.asad.79
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4. Sequence
Defintion : If for each n Є N,a number An is assigned
,then the number a1,a2,. . .,an is said to form a
sequence.
Convergence of a sequence
A sequence {an} is said to converge to a real number L
if given ε > 0 , ∃ a positive integer m such that |an-l|< ε ,
∀ n ≥ m.
It Can be written as :
lim 𝒂 𝒏 = 𝑙
𝑛→∞
5. Divergence of a sequence
A sequence {an} is said to diverge to ∞ if given any real
number k > 0 , ∃ a positive integer m such that an>k for
∀ n ≥ m.
It Can be written as :
lim 𝒂 𝒏 = ∞
𝑛→∞
A sequence {an} is said to diverge to -∞ if given any real
number k > 0, ∃ a positive integer m such that an>k for
∀ n ≥ m.
It Can be written as :
lim 𝒂 𝒏 = −∞
𝑛→∞
6. Integral Test
The Integral Test is easy to use and is good to use
when the ratio test and the comparison tests won't
work and you are pretty sure that you can evaluate the
integral.
For a series
lim
𝑛 →∞
𝑎𝑛
≠∞
where we can find a positive, continuous and decreasing
function f for n > k and f(n) = 𝒂 𝒏
then we know that if
∞
𝑓 𝑥 . 𝑑𝑥
𝑘
7. Infinite Series
Infinite Series is an unusual calculus topic.
Especially when it comes to integration and
differential equations, infinite series can be very
useful for computation and problem solving.
Infinite series are built upon infinite sequences.
Example : {1,4,9,16,25,36,...}
This is an infinite sequence since it has an
infinite number of elements. The infinite part is
denoted by the three periods at the end of the
list.
8. n th-Term Test
The nth-Term Test is also called the Divergence
Test.
The nth-Term Condition is given below :
lim
𝑛 →∞
𝒂
𝒏
≠∞
Note : This test can be used only for divergence.
This test cannot be used for convergence.
Basically, it says that, for a series
if an ≠0, then the series diverges
lim
n→∞
𝒂
𝒏
9. P-Series
The p-series is a pretty straight-forward series to
understand and use.
∞
The P-Series
𝑛=1
1
1
1+ 𝑝 + 𝑝 +⋯
2
3
Converges when P >1
Diverges when 0<p≤1
10. The P Series Convergence Theorem
∞
𝑛 =1
1
𝑛𝑝
Converges when P >1
Diverges when 0<p≤1
∞
In Summary: For the series
𝑛 =1
1
𝑛𝑝
1. p>1
converges by the integral test
2. 0<p≤1 diverges by the nth-term test
3. p=0 diverges by the nth-term test
4. p<0 diverges by the nth-term test
11. Infinite Geometric Series
Geometric Series are an important type of series. This
series type is unusual because not only can you easily tell
whether a geometric series converges or diverges but, if it
converges, you can calculate exactly what it converges to.
A series in the form
∞
is called a geometric
𝑎𝑟
𝑛
𝑛
series with ratio r and has=0 following properties:
the
Divergence if |r|≥0
Convergence if 0<|r|<1
12. Direct Comparison Test
The Direct Comparison Test is sometimes called The
Comparison Test. However, we include the word 'Direct'
in the name to clearly separate this test from the Limit
Comparison Test.
For the series
𝒂𝒏
and test series
To prove convergence of
𝒂𝒏
,
𝒕𝒏
𝒕
where 𝒕 𝒏 > 𝟎
must convergence
and 𝟎 < 𝒕 𝒏 ≤ 𝒂 𝒏 to prove divergence of
Must diverge and 𝟎 < 𝒂 𝒏 ≤ 𝒕 𝒏 .
𝒏
𝒂𝒏
,
𝒕𝒏
13. The Ratio Test
The Ratio Test is probably the most important test
and It is used A lot in power series.
The ratio test is best used when we have certain
elements in the sum.
Let
𝒂𝒏
be a series with nonzero terms and let
𝑎 𝑛+1
lim ⃒
⃒= 𝐿
𝑛→∞
𝑎𝑛
Three Cases are Possible depending on the value of L
L<1 : The Series Converges Absolutely.
L=1 : The Ratio Test is inconclusive.
L>1 : The Series diverges.
14. The Root Test
The Root Test is the least used series test to test for
convergence or divergence
The Root Test is used when you have a function of n
that also contains a power with n
For the Series
𝒂𝒏
, let lim
𝑛→∞
𝑛
| 𝑎 𝑛|
Three Cases are Possible depending on the value of L
L<1 : The Series Converges Absolutely.
L=1 : The Ratio Test is inconclusive.
L>1 : The Series diverges.
15. Alternating Series Test
The Alternating Series Test is sometimes called the
Leibniz Test or the Leibniz Criterion.
𝑛
(−1) 𝑛 𝑎 𝑛
𝑖=0
Converge if both of the following condition hold :
Condition 1 :
lim 𝒂 𝒏 = 0
Condition 2 :
0 < 𝑎 𝑛+1 ≤ 𝑎 𝑛
𝑛→∞
16. Absolute And Conditional Convergence
Sometimes a series will have positive and negative
terms, but not necessarily alternate with each term.
To determine the convergence of the series we will
look at the convergence of the absolute value of that
series.
Absolute Convergence: If the series
converges, then the series
Conditionally Convergent: If
|𝒂 𝒏 |
diverges.
𝒂𝒏
|𝒂 𝒏 |
converges
𝒂𝒏
converges but
17. Here is a table that summarizes these ideas.
𝒂𝒏
• Converges
• Converges
Conclusion
|𝒂 𝒏 |
• Converges
• diverges
•
𝒂𝒏
converges
absolutely
• 𝒂 𝒏 converges
conditionaly
Absolute Convergence Theorem :
If the series
also converges.
|𝒂 𝒏 |
converges , then the series
𝒂𝒏
18. Power Series
A Power Series is based on the Geometric Series
using the equation :
∞
𝑎
𝑎𝑟 =
1− 𝑟
𝑛
𝑛=0
which converges for |r|<1, where r is a function of
x. We can also use the ratio test and other tests to
determine the radius and interval of convergence.
19. Taylor Series
A Power Series is based on the Geometric Series
using the equation :
𝑛
∞ 𝑓 (𝑎)
𝑛=0 𝑛! (𝑥 −
𝑎) 𝑛=𝑓(𝑎) +
𝑓′ 𝑎
1!
𝑥− 𝑎 +
𝑓 ′′ 𝑎
2!
(𝑥 − 𝑎)2
We use the Ratio Test to determine the radius of
convergence.
A Taylor Series is an infinite power series and
involves a radius and interval of convergence.