Examples of Scaling in the following topics:
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- Here are some examples of functions graphed on a linear scale, semi-log and logarithmic scales.
- The top left is a linear scale.
- The bottom right is a logarithmic scale.
- The top right and bottom left are called semi-log scales because one axis is scaled linearly while the other is scaled using logarithms.
- Top Left is a linear scale, top right and bottom left are semi-log scales and bottom right is a logarithmic scale.
 
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- In algebra, equations can undergo scaling, meaning they can be stretched horizontally or vertically along an axis.  
- First, let's talk about vertical scaling.  
- In general, the equation for vertical scaling is:
- Now lets analyze horizontal scaling. 
- In general, the equation for horizontal scaling is:
 
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- The four main types of transformations are translations, reflections, rotations, and scaling.
- Scaling is a transformation that changes the size and/or the shape of the graph of the function.  
- Differentiate between three common types of transformations: reflections, rotations, and scaling
 
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- To do this, we introduce a scaling factor into one or both of the
$x$-$y$  coordinates.
- Let's start by dividing all $x$ coordinates by a factor $a$, and therefore scaling the $x$ values.
- Similarly, we can scale all the values of $y$ by a factor $b$ (we also assume $b > 1$).
- If we had used scaling factors that were less than one, it would have compressed the shape instead of stretching it further out.
 
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- are dependent — they are the same equation when scaled by a factor of two, and they would produce identical graphs.
 
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- The determinant is the sum of the signed minors of any row or column of the matrix scaled by the elements in that row or column.
 
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- Logarithmic scales reduce wide-ranging quantities to tiny scopes.
- The pH scale measures how acidic or basic a substance is.
 
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- They have the form of a sum of scaled powers of a variable.
 
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- Also note that they are the same equation  scaled by a factor of 
two; in other words, the second equation can be derived from the first.
 
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- Row multiplication (scale): Multiply a row of a matrix by a nonzero constant.