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As n increases, the partial sum includes more and more terms of the series. So if aₙ approaches a limit as n approaches ∞, then this limit is likely to be the sum of all of the terms in the series, thus a convergence.
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Used in the form of ∞Σ(n=1) a*r^(n-1)
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For example, the series (1/2)+(1/2^2)+(1/2^3) converges, while 2+2^2+2^3 diverges.
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If a geometric series converges, you can figure its sum out by doing the following:
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If we want to find the sum of the first n terms of a geometric series, we use the following formula:
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The nth Term Test For Divergence
The nth term test means we find the limit of the series and see if we get zero or not
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Integral Test for Convergence
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Either both converge or both diverge.
In other words, if you want to test convergence for a series with positive terms, evaluate the integral and see if it converges.
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Harmonic Series: (1/n) pattern
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p-Series
A series of the form (1/n^p) converges if p>1 and diverges if 0<p<1
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Comparison Tests for Convergence
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Limit Comparison Test
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Alternating Series Test for Convergence
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The series Σaₙ converges absolutely if the corresponding series Σ|aₙ| converges
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Ratio Test for Convergence
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Determining Absolute or Conditional Convergence
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Alternating Series Error Bound
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Finding Taylor Polynomial Approximations of Functions
We can approximate a function on an interval centered at x=a by using a Taylor series (if centered about x=0, it’s a Maclurin series).
In a Taylor polynomial, the terms are found from thee derivatives of f as follows:
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Lagrange Error Bound
The “error bound” of a Taylor polynomial, aka the Lagrange error
If you are finding an nth degree Taylor polynomial, a good approximation to the error bound is the next nonzero term in a decreasing series.
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Radius and Interval of Convergence of Power Series
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Representing Functions as Power Series
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