Cody

Problem 1815. 06 - Matrix Equations 3

Created by Samuel Thrysøe

Solve Later

{"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","targetMode":"","relationshipId":"rId1","target":"/matlab/document.xml"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/output","targetMode":"","relationshipId":"rId2","target":"/matlab/output.xml"}],"parts":[{"partUri":"/matlab/document.xml","relationship":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId1","target":"/media/image1.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId2","target":"/media/image2.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId3","target":"/media/image3.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId4","target":"/media/image4.png"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/image","targetMode":"","relationshipId":"rId5","target":"/media/image5.png"}],"contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Define the matrices</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>aMat</w:t></w:r><w:r><w:t>,</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>bMat</w:t></w:r><w:r><w:t>, and</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>cMat</w:t></w:r><w:r><w:t>:</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>(</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>aMat</w:t></w:r><w:r><w:t> = 9x9 matrix full of 2's )</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId2\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>(</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>bMat</w:t></w:r><w:r><w:t> = 9x9 matrix of zeros, but with the following values on the main diagonal: )</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId3\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>and</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId4\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>(</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>cMat</w:t></w:r><w:r><w:t> = 10x10 matrix where the numbers from 1 to 100 runs down the columns )</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Using matrix operations, calculate</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>zMat</w:t></w:r><w:r><w:t>:</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"-1\"/><w:attr w:name=\"width\" w:val=\"-1\"/><w:attr w:name=\"relationshipId\" w:val=\"rId5\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>where l</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t></w:t></w:r><w:r><w:rPr><w:b/><w:i/></w:rPr><w:t>cMat</w:t></w:r><w:r><w:t> l is the determinant of</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t></w:t></w:r><w:r><w:rPr><w:b/><w:i/></w:rPr><w:t>cMat</w:t></w:r><w:r><w:t> (use</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t>det</w:t></w:r><w:r><w:t>), and</w:t></w:r><w:r><w:t> </w:t></w:r><w:r><w:rPr><w:b/></w:rPr><w:t></w:t></w:r><w:r><w:rPr><w:b/><w:i/></w:rPr><w:t>T</w:t></w:r><w:r><w:t> indicates the transpose of the matrix</w:t></w:r></w:p></w:body></w:document>"},{"partUri":"/matlab/output.xml","contentType":"text/xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\" ?><embeddedOutputs><metaData><evaluationState>manual</evaluationState><layoutState>code</layoutState><outputStatus>ready</outputStatus></metaData><outputArray type=\"array\"/><regionArray type=\"array\"/></embeddedOutputs>"},{"partUri":"/media/image1.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image2.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image3.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image4.png","contentType":"image/png","content":"data:image/png;base64,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"},{"partUri":"/media/image5.png","contentType":"image/png","content":"data:image/png;base64,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"}]}

Solve

Solution Stats

587 Solutions
343 Solvers

Last Solution submitted on May 09, 2021

Last 200 Solutions

Problem Comments

Problem Recent Solvers343

Suggested Problems

Implement a ROT13 cipher

914 Solvers
Project Euler: Problem 5, Smallest multiple

451 Solvers
Given area find sides

386 Solvers
Negative matrix

349 Solvers
Square Diagonal

209 Solvers

More from this Author26

04 - Scalar Equations 1

442 Solvers
07 - Common functions and indexing 4

341 Solvers
02 - Vector Variables 4

445 Solvers
01 - Scalar variables

559 Solvers
02 - Vector Variables 2

541 Solvers

Problem Tags

poor_test_suite sttbdp1

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Trial software