{"id":8332,"date":"2023-09-29T14:39:07","date_gmt":"2023-09-29T14:39:07","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=8332"},"modified":"2024-10-18T21:00:21","modified_gmt":"2024-10-18T21:00:21","slug":"math-in-literature-fresh-take","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/math-in-literature-fresh-take\/","title":{"raw":"Math in Literature: Fresh Take","rendered":"Math in Literature: Fresh Take"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Identify the relationship between math and literature&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4224,&quot;10&quot;:2,&quot;15&quot;:&quot;Calibri&quot;}\">Identify the relationship between math and literature<\/span><\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Structural Elements in Literature<\/h2>\r\n<div class=\"textbox shaded\"><strong>The Main Idea<\/strong>\r\n<p>Ever thought about why certain stories feel so satisfying? It's not just the plot or characters; it's the structure. Authors often use mathematical sequences like the Fibonacci Sequence or the Golden Ratio to craft their narratives. This adds a layer of complexity and beauty to the story, making it more engaging and memorable.<\/p>\r\n<ul>\r\n\t<li><strong>Fibonacci Sequence<\/strong>: This sequence starts with [latex]0[\/latex] and [latex]1[\/latex], and each subsequent number is the sum of the two preceding ones ([latex]0, 1, 1, 2, 3, 5, 8..[\/latex].). In literature, some authors use this sequence to determine the word count for each chapter, adding a layer of mathematical beauty to their narrative.<\/li>\r\n\t<li><strong>Golden Ratio<\/strong>: This mathematical constant, approximately [latex]1.618[\/latex], is used to divide a story into two parts, often marking a critical turning point in the narrative. The first part takes up about [latex]38.2\\%[\/latex] of the story, and the second part [latex]61.8\\%[\/latex].<\/li>\r\n<\/ul>\r\n<\/div>\r\n<h2>Rhythmic and Linguistic Patterns in Literature<\/h2>\r\n<div class=\"textbox shaded\"><strong>The Main Idea<\/strong>\r\n<p>Mathematics isn't just about numbers; it's also about patterns. In literature, these patterns manifest in the rhythm and rhyme schemes of poems. For instance, the [latex]5-7-5[\/latex] syllabic pattern in a haiku isn't just a rule; it's a mathematical structure that adds to its beauty. Similarly, rhyme schemes like [latex]ABAB[\/latex] create a musical flow, making the poem more engaging.<\/p>\r\n<ul>\r\n\t<li><strong>Syllabic Patterns<\/strong>: Different forms of poetry use mathematical patterns to dictate their structure. For example, a haiku follows a [latex]5-7-5[\/latex] syllabic pattern.<\/li>\r\n\t<li><strong>Rhyme Schemes<\/strong>: These are mathematically structured patterns like [latex]ABAB[\/latex] or [latex]AABB[\/latex] that add musicality to poems.<\/li>\r\n<\/ul>\r\n<\/div>\r\n<p>Watch the following video for more on poetic patterns.<\/p>\r\n<section class=\"textbox watchIt\"><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/URuMb15CWJs?si=CWvAssbbivu-M3yM\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe>\r\n<p>You can view the\u00a0<a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Principles+of+Marketing+Transcriptions\/The+pleasure+of+poetic+pattern+-+David+Silverstein.txt\" target=\"_blank\" rel=\"noopener\">transcript for \u201cThe pleasure of poetic pattern - David Silverstein\u201d here (opens in new window).<\/a><\/p>\r\n<\/section>\r\n<p>&nbsp;<\/p>\r\n<h2>Analytical Tools and Conceptual Frameworks in Literature and Math<\/h2>\r\n<div class=\"textbox shaded\"><strong>The Main Idea<\/strong>\r\n<p>Mathematics offers a set of tools that can deepen our understanding of literature. Algorithms can analyze the frequency and distribution of words within a text, offering insights into recurring themes. Stylometry goes a step further by examining the style of writing itself, helping to attribute authorship or understand the nuances of different genres.<\/p>\r\n<ul>\r\n\t<li><strong>Textual Analysis Algorithms<\/strong>: These algorithms can sift through large volumes of text to identify recurring themes or sentiments, as well as identify who authored the work.<\/li>\r\n\t<li><strong>Stylometry<\/strong>: This involves statistical analysis of variations in literary style to attribute authorship.<\/li>\r\n<\/ul>\r\n<\/div>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Identify the relationship between math and literature&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:4224,&quot;10&quot;:2,&quot;15&quot;:&quot;Calibri&quot;}\">Identify the relationship between math and literature<\/span><\/li>\n<\/ul>\n<\/section>\n<h2>Structural Elements in Literature<\/h2>\n<div class=\"textbox shaded\"><strong>The Main Idea<\/strong><\/p>\n<p>Ever thought about why certain stories feel so satisfying? It&#8217;s not just the plot or characters; it&#8217;s the structure. Authors often use mathematical sequences like the Fibonacci Sequence or the Golden Ratio to craft their narratives. This adds a layer of complexity and beauty to the story, making it more engaging and memorable.<\/p>\n<ul>\n<li><strong>Fibonacci Sequence<\/strong>: This sequence starts with [latex]0[\/latex] and [latex]1[\/latex], and each subsequent number is the sum of the two preceding ones ([latex]0, 1, 1, 2, 3, 5, 8..[\/latex].). In literature, some authors use this sequence to determine the word count for each chapter, adding a layer of mathematical beauty to their narrative.<\/li>\n<li><strong>Golden Ratio<\/strong>: This mathematical constant, approximately [latex]1.618[\/latex], is used to divide a story into two parts, often marking a critical turning point in the narrative. The first part takes up about [latex]38.2\\%[\/latex] of the story, and the second part [latex]61.8\\%[\/latex].<\/li>\n<\/ul>\n<\/div>\n<h2>Rhythmic and Linguistic Patterns in Literature<\/h2>\n<div class=\"textbox shaded\"><strong>The Main Idea<\/strong><\/p>\n<p>Mathematics isn&#8217;t just about numbers; it&#8217;s also about patterns. In literature, these patterns manifest in the rhythm and rhyme schemes of poems. For instance, the [latex]5-7-5[\/latex] syllabic pattern in a haiku isn&#8217;t just a rule; it&#8217;s a mathematical structure that adds to its beauty. Similarly, rhyme schemes like [latex]ABAB[\/latex] create a musical flow, making the poem more engaging.<\/p>\n<ul>\n<li><strong>Syllabic Patterns<\/strong>: Different forms of poetry use mathematical patterns to dictate their structure. For example, a haiku follows a [latex]5-7-5[\/latex] syllabic pattern.<\/li>\n<li><strong>Rhyme Schemes<\/strong>: These are mathematically structured patterns like [latex]ABAB[\/latex] or [latex]AABB[\/latex] that add musicality to poems.<\/li>\n<\/ul>\n<\/div>\n<p>Watch the following video for more on poetic patterns.<\/p>\n<section class=\"textbox watchIt\"><iframe loading=\"lazy\" title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/URuMb15CWJs?si=CWvAssbbivu-M3yM\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>You can view the\u00a0<a href=\"https:\/\/course-building.s3.us-west-2.amazonaws.com\/Principles+of+Marketing+Transcriptions\/The+pleasure+of+poetic+pattern+-+David+Silverstein.txt\" target=\"_blank\" rel=\"noopener\">transcript for \u201cThe pleasure of poetic pattern &#8211; David Silverstein\u201d here (opens in new window).<\/a><\/p>\n<\/section>\n<p>&nbsp;<\/p>\n<h2>Analytical Tools and Conceptual Frameworks in Literature and Math<\/h2>\n<div class=\"textbox shaded\"><strong>The Main Idea<\/strong><\/p>\n<p>Mathematics offers a set of tools that can deepen our understanding of literature. Algorithms can analyze the frequency and distribution of words within a text, offering insights into recurring themes. Stylometry goes a step further by examining the style of writing itself, helping to attribute authorship or understand the nuances of different genres.<\/p>\n<ul>\n<li><strong>Textual Analysis Algorithms<\/strong>: These algorithms can sift through large volumes of text to identify recurring themes or sentiments, as well as identify who authored the work.<\/li>\n<li><strong>Stylometry<\/strong>: This involves statistical analysis of variations in literary style to attribute authorship.<\/li>\n<\/ul>\n<\/div>\n","protected":false},"author":15,"menu_order":15,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":8095,"module-header":"fresh_take","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/8332"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/users\/15"}],"version-history":[{"count":5,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/8332\/revisions"}],"predecessor-version":[{"id":12867,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/8332\/revisions\/12867"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/parts\/8095"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/8332\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=8332"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=8332"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=8332"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=8332"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}