Polynomial Approximation: The Weierstrass Approximation Theorem
In this paper we will look at three proofs of the Weierstrass Approximation Theorem. The first proof is in much the same form in which Weierstrass originally proved his theorem. The next is due to Lebesgue. It is by far the easiest proof to follow, with only a minimum knowledge of analysis required....
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description | In this paper we will look at three proofs of the Weierstrass Approximation Theorem. The first proof is in much the same form in which Weierstrass originally proved his theorem. The next is due to Lebesgue. It is by far the easiest proof to follow, with only a minimum knowledge of analysis required. The last arises from probability and uses the Bernstein polynomials. Secondly we look at a generalization of this theorem, called the Stone-Weierstrass Theorem. This generalization was inspired by modern developments in mathematics. The theorem deals with functions on a general compact space rather than on a closed interval. |
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The first proof is in much the same form in which Weierstrass originally proved his theorem. The next is due to Lebesgue. It is by far the easiest proof to follow, with only a minimum knowledge of analysis required. The last arises from probability and uses the Bernstein polynomials. Secondly we look at a generalization of this theorem, called the Stone-Weierstrass Theorem. This generalization was inspired by modern developments in mathematics. The theorem deals with functions on a general compact space rather than on a closed interval.</description><language>eng</language><subject>Approximation(Mathematics) ; Continuity ; Functions(Mathematics) ; Intervals ; Polynomials ; Probability ; Statistics and Probability ; Stone Weierstrass Theorem ; Theorems ; Theses ; Weierstrass Approximation Theorem</subject><creationdate>1982</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,777,882,27548,27549</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA118974$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Nichols,Shirley Jo</creatorcontrib><creatorcontrib>AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH</creatorcontrib><title>Polynomial Approximation: The Weierstrass Approximation Theorem</title><description>In this paper we will look at three proofs of the Weierstrass Approximation Theorem. The first proof is in much the same form in which Weierstrass originally proved his theorem. The next is due to Lebesgue. It is by far the easiest proof to follow, with only a minimum knowledge of analysis required. The last arises from probability and uses the Bernstein polynomials. Secondly we look at a generalization of this theorem, called the Stone-Weierstrass Theorem. This generalization was inspired by modern developments in mathematics. The theorem deals with functions on a general compact space rather than on a closed interval.</description><subject>Approximation(Mathematics)</subject><subject>Continuity</subject><subject>Functions(Mathematics)</subject><subject>Intervals</subject><subject>Polynomials</subject><subject>Probability</subject><subject>Statistics and Probability</subject><subject>Stone Weierstrass Theorem</subject><subject>Theorems</subject><subject>Theses</subject><subject>Weierstrass Approximation Theorem</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1982</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZLAPyM-pzMvPzUzMUXAsKCjKr8jMTSzJzM-zUgjJSFUIT81MLSouKUosLkaVBsnmF6Xm8jCwpiXmFKfyQmluBhk31xBnD92Ukszk-OKSzLzUknhHF0dDQwtLcxNjAtIA880uww</recordid><startdate>198208</startdate><enddate>198208</enddate><creator>Nichols,Shirley Jo</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>198208</creationdate><title>Polynomial Approximation: The Weierstrass Approximation Theorem</title><author>Nichols,Shirley Jo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA1189743</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1982</creationdate><topic>Approximation(Mathematics)</topic><topic>Continuity</topic><topic>Functions(Mathematics)</topic><topic>Intervals</topic><topic>Polynomials</topic><topic>Probability</topic><topic>Statistics and Probability</topic><topic>Stone Weierstrass Theorem</topic><topic>Theorems</topic><topic>Theses</topic><topic>Weierstrass Approximation Theorem</topic><toplevel>online_resources</toplevel><creatorcontrib>Nichols,Shirley Jo</creatorcontrib><creatorcontrib>AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nichols,Shirley Jo</au><aucorp>AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Polynomial Approximation: The Weierstrass Approximation Theorem</btitle><date>1982-08</date><risdate>1982</risdate><abstract>In this paper we will look at three proofs of the Weierstrass Approximation Theorem. The first proof is in much the same form in which Weierstrass originally proved his theorem. The next is due to Lebesgue. It is by far the easiest proof to follow, with only a minimum knowledge of analysis required. The last arises from probability and uses the Bernstein polynomials. Secondly we look at a generalization of this theorem, called the Stone-Weierstrass Theorem. This generalization was inspired by modern developments in mathematics. The theorem deals with functions on a general compact space rather than on a closed interval.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | Approximation(Mathematics) Continuity Functions(Mathematics) Intervals Polynomials Probability Statistics and Probability Stone Weierstrass Theorem Theorems Theses Weierstrass Approximation Theorem |
title | Polynomial Approximation: The Weierstrass Approximation Theorem |
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