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<p>Special matrices have special eigenvalues and eigenvectors. Symmetric and positive definite matrices have extremely nice properties, and studying these matrices brings together everything we've learned about pivots, determinants and eigenvalues. In this session we also practice doing linear algebra with complex numbers and learn how the pivots give information about the eigenvalues of a symmetric matrix.</p>
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<p><a href="/assets/courseware/v1/422f34470afe203b347520b76ac9bdc9/asset-v1:OCW+18.06SC+2T2019+type@asset+block/18.06_Unit_III_3.1_Lectrans.pdf" target="[object Object]">Lecture video transcript (PDF)</a></p>
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<h3>Lecture Summary</h3>
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<h3>Suggested Reading</h3>
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<li>Read Section 6.4 through 6.5 in the 4<sup>th</sup> or 5<sup>th</sup> edition.</li>
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<p><a href="/assets/courseware/v1/a025e77312ffcf886869ad60ce9ffc93/asset-v1:OCW+18.06SC+2T2019+type@asset+block/18.06_Unit_III_3.1_Rectrans.pdf" target="[object Object]">Recitation lecture transcript (PDF)</a></p>
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<p>Work the problems on your own and check your answers when you're done.</p>
<p><a href="/assets/courseware/v1/8eaac6bd6834d8037930f84cbd47a148/asset-v1:OCW+18.06SC+2T2019+type@asset+block/18.06_Unit_III_3.1_Exercises.pdf" target="[object Object]">Exercises on symmetric matrices and positive definiteness (PDF)</a></p>
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