{"id":210,"date":"2019-07-15T22:43:31","date_gmt":"2019-07-15T22:43:31","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/waymakercollegealgebracorequisite\/chapter\/why-it-matters-algebraic-operations-on-functions\/"},"modified":"2019-07-30T22:27:20","modified_gmt":"2019-07-30T22:27:20","slug":"why-it-matters-algebraic-operations-on-functions","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/ntcc-collegealgebracorequisite\/chapter\/why-it-matters-algebraic-operations-on-functions\/","title":{"raw":"Why It Matters: Algebraic Operations on Functions","rendered":"Why It Matters: Algebraic Operations on Functions"},"content":{"raw":"

\"AWhy Study Algebraic Operations on Functions?<\/h2>\r\n \r\n\r\nIf you could \u201csee\u201d the sound coming from your speakers or earphones, it might resemble a series of ups and downs corresponding to the vibrations caused by the sound as it travels through the air. \u00a0In fact, with the help of a tool called an oscilloscope<\/strong>, it is possible to visualize sounds as waves (technically, sound travels through air as a series of compression waves, however the oscilloscope converts sound to transverse waves for better visualization).\r\n\r\nThe wave itself may be regarded as the graph of a function<\/strong>. \u00a0In other words, the sound wave may be modeled by the rule\r\n

[latex]y=f\\left(x\\right)[\/latex]<\/p>\r\nIt is not essential to understand exactly how this function is put together - you might learn more about the details of sound waves after studying a little trigonometry - however we can use what we learn in this module to transform<\/strong> the wave in certain ways.\r\n\r\n[caption id=\"attachment_3706\" align=\"alignleft\" width=\"427\"]\"Graph Figure 1[\/caption]\r\n\r\nFor example, if we made the sound louder (increasing the amplitude), then the oscilloscope would display the same basic wave graph but with higher peaks and deeper valleys. \u00a0The new function is a vertical stretch of the original.\r\n\r\nConversely, if we made the sound softer (decreasing the amplitude), then the new wave would have lower peaks and shallower valleys, which is a vertical compression.\r\n\r\nFigure 1\u00a0illustrates how the graph of a function in black might stretch vertically into the blue curve, or compress vertically into the red curve. \u00a0What is the effect on the original function? \u00a0It turns out that vertical compression and stretching can be accomplished by multiplying or dividing the output of the function by a constant ([latex]a[\/latex]):\r\n

[latex]y=a\\cdot f\\left(x\\right)[\/latex]<\/p>\r\n \r\n\r\n \r\n\r\n \r\n\r\n[caption id=\"attachment_3705\" align=\"alignleft\" width=\"433\"]\"Graph Figure 2[\/caption]\r\n\r\nSome sounds, such as musical tones, also have pitch<\/strong>, or a measure of how high or how low the tone sounds. \u00a0If run your finger along the keys of a piano from left to right, the tones increase steadily in pitch. \u00a0Pitch is measured by the frequency<\/strong> of a wave, which is the number of peaks within a given time period. \u00a0Frequency is easy to see on the oscilloscope: the more wave peaks you see on the screen, the higher the frequency, and the higher the pitch of the sound.\r\n\r\nTo change the frequency of the wave we must stretch or compress the graph horizontally. \u00a0Figure 2\u00a0illustrates the effect of horizontal compression (blue curve) and stretching (red curve) of the original curve (in black). \u00a0If the black curve represents a musical tone, then the blue curve will sound higher, while the red curve will sound lower in pitch. \u00a0Horizontal stretching and compression is handled by multiplying (or dividing) a constant to the input [latex]x[\/latex]:\r\n

[latex]y=f\\left(b\\cdot x\\right)[\/latex]<\/p>\r\n \r\n\r\nIn this module, you will learn all about these kinds of transformations along with other ways of changing and combining functions.\r\n","rendered":"

\"AWhy Study Algebraic Operations on Functions?<\/h2>\n

 <\/p>\n

If you could \u201csee\u201d the sound coming from your speakers or earphones, it might resemble a series of ups and downs corresponding to the vibrations caused by the sound as it travels through the air. \u00a0In fact, with the help of a tool called an oscilloscope<\/strong>, it is possible to visualize sounds as waves (technically, sound travels through air as a series of compression waves, however the oscilloscope converts sound to transverse waves for better visualization).<\/p>\n

The wave itself may be regarded as the graph of a function<\/strong>. \u00a0In other words, the sound wave may be modeled by the rule<\/p>\n

[latex]y=f\\left(x\\right)[\/latex]<\/p>\n

It is not essential to understand exactly how this function is put together – you might learn more about the details of sound waves after studying a little trigonometry – however we can use what we learn in this module to transform<\/strong> the wave in certain ways.<\/p>\n

\"Graph<\/p>\n

Figure 1<\/p>\n<\/div>\n

For example, if we made the sound louder (increasing the amplitude), then the oscilloscope would display the same basic wave graph but with higher peaks and deeper valleys. \u00a0The new function is a vertical stretch of the original.<\/p>\n

Conversely, if we made the sound softer (decreasing the amplitude), then the new wave would have lower peaks and shallower valleys, which is a vertical compression.<\/p>\n

Figure 1\u00a0illustrates how the graph of a function in black might stretch vertically into the blue curve, or compress vertically into the red curve. \u00a0What is the effect on the original function? \u00a0It turns out that vertical compression and stretching can be accomplished by multiplying or dividing the output of the function by a constant ([latex]a[\/latex]):<\/p>\n

[latex]y=a\\cdot f\\left(x\\right)[\/latex]<\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

\"Graph<\/p>\n

Figure 2<\/p>\n<\/div>\n

Some sounds, such as musical tones, also have pitch<\/strong>, or a measure of how high or how low the tone sounds. \u00a0If run your finger along the keys of a piano from left to right, the tones increase steadily in pitch. \u00a0Pitch is measured by the frequency<\/strong> of a wave, which is the number of peaks within a given time period. \u00a0Frequency is easy to see on the oscilloscope: the more wave peaks you see on the screen, the higher the frequency, and the higher the pitch of the sound.<\/p>\n

To change the frequency of the wave we must stretch or compress the graph horizontally. \u00a0Figure 2\u00a0illustrates the effect of horizontal compression (blue curve) and stretching (red curve) of the original curve (in black). \u00a0If the black curve represents a musical tone, then the blue curve will sound higher, while the red curve will sound lower in pitch. \u00a0Horizontal stretching and compression is handled by multiplying (or dividing) a constant to the input [latex]x[\/latex]:<\/p>\n

[latex]y=f\\left(b\\cdot x\\right)[\/latex]<\/p>\n

 <\/p>\n

In this module, you will learn all about these kinds of transformations along with other ways of changing and combining functions.<\/p>\n\n\t\t\t

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Candela Citations<\/h3>\n\t\t\t\t\t
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CC licensed content, Original<\/div>