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Logarithm change of base
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content/algebra/logarithms.tex

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\documentclass{article}
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\usepackage{mathnotes}
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\title{Logarithms}
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\description{Definition of the logarithm, the product, quotient, and power rules, change of base, and concavity.}
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\source{title={Principles of Mathematical Analysis}, author={Walter Rudin}, type={book}, isbn={978-0-07-054235-8}, section={3rd Edition}, published={1976}}
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\begin{document}
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\section{Logarithms}
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\begin{definition}[Logarithm]
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For $b > 1,$ $y > 0$ the unique \@{real} $x$ such that $b^x = y$ is called the \textbf{logarithm of} $y$ \textbf{to the base} $b$.
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\end{definition}
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\begin{note}
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The logarithm extends to complex arguments; see \pagelink[the complex logarithm]{analysis/complex-analysis/module-08-elementary-functions}.
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\end{note}
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\begin{theorem}[Product Rule for Logarithms]
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TODO: the log of a product is the sum of the logs.
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\end{theorem}
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\begin{theorem}[Quotient Rule for Logarithms]
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TODO: the log of a quotient is the difference of the logs.
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\end{theorem}
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\begin{theorem}[Power Rule for Logarithms]
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TODO: the log of a power moves the exponent out front.
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\end{theorem}
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\begin{theorem}[Logarithm Change of Base]\label{logarithm-change-of-base}
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\[ \log_b{(a)} = \frac{\log_x{(a)}}{\log_x{(b)}}. \]
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\end{theorem}
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\begin{theorem}[Log is Concave]\label{log-is-concave}
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The $\log$ \@{function} is \@[concave]{concave-function}, i.e. $-\log$ is \@[convex]{convex-function}.
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\end{theorem}
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\begin{proof}
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The second derivative of natural $\log$ is $\frac{-1}{x^2},$ which is always non-positive. By \@{second-derivative-test-for-convexity}, $\log$ is therefore \@[concave]{concave-function}.
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\end{proof}
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\end{document}

content/analysis/real-analysis/convexity.tex

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A function $\varphi$ is said to be \textbf{concave} if $-\varphi$ is a \@{convex-function}.
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\end{definition}
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\begin{theorem}[Second Derivative Test for Convexity]
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\begin{theorem}[Second Derivative Test for Convexity]\label{second-derivative-test-for-convexity}
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Let $\varphi$ be twice \@{differentiable} on an \@{open} \@{interval} $(a,b).$ Then
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$\varphi$ is \@{convex} on $(a,b)$ if and only if $\varphi''(x) \geq 0$ for all
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$x \in (a,b),$ and \@{concave} if and only if $\varphi''(x) \leq 0$ for all
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Every \@{convex-combination} of two \@{points} lies on the \@{line-segment} between the \@{points}.
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\end{note}
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\begin{theorem}[Log is Concave]\label{log-is-concave}
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The $\log$ \@{function} is \@{concave}, i.e. $-\log$ is \@{convex}.
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\end{theorem}
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\begin{proof}
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The second derivative of natural $\log$ is $\frac{-1}{x^2},$ which is always non-positive. By \@{second-derivative-test-for-convexity}, $\log$ is therefore \@{concave}.
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\end{proof}
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\end{document}

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