51 Most Expected Questions of Linear Algebra (Part-2) | Eigen Values & Eigen Vectors | BYJU'S GATE

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Join this informative session to practise 51 Most Expected Questions of Linear Algebra from Eigen Values and Eigen Vectors with BYJU'S GATE.

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In this session, BYJU’S Exam Prep GATE expert, Rakesh Sir, discusses the 51 most important Linear Algebra GATE questions. Sir helps you understand the fundamentals of Eigen Values and Eigen Vectors for GATE and then precedes with the questions. The questions in this session are highly important for the GATE exam and are sure to help you revise Eigen Values for GATE.

The prime highlights of this session are:
- Quick and concise summary of Linear Algebra
- What are Eigen Values and Eigen Vectors
- Linear Algebra expected questions for GATE exam
- Important formulas and concepts from Engineering Mathematics for GATE

This session clears all your doubts about Eigenvalues and Eigenvectors from GATE Mathematics. Sir takes up important Eigenvalues and Eigenvectors questions which strengthens your concepts and clears your doubts. Watch this complete session to ace your Engineering Mathematics preparation.

If you like this session, share this with all your friends preparing for the GATE exam to help them prepare Eigenvalue GATE questions. For similar sessions like this, subscribe to our channel, BYJU'S Exam Prep: GATE, ESE & PSU, and to get notified about the latest GATE 2023 sessions, strike the bell icon.

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BYJUSExamPrepGateEseEEECINCS
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Sir...the way you are maintaining the quality of your lectures is simply awesome....thank you🙏

vijaybudumuru
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For question 42 we can also use the property 7. One of the Eigan value equals the sum of the row elements.

muralikrishnay
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Sir your explanation is excellent.please make some more vedios.thank you so much sir

srivenkateswara
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Thanku so much sir. can you please upload similar videos for other topics too?

SWAMISWONDERLAND
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Thank you for wonderful session sir🙏🙏

dreamer
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Sir, Is this property no. 16 true: "the number of LI Eigen Vectors of a matrix is equal number of distinct eigen values" I think this is false since I3 has 1, 1, 1 as its Eigen values but we get convenient vectors as eigen vectors which are LI. Please correct me if i am wrong

GateGeeks
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is there any such video for finance executive

mitaligoyal
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Wow . ❤️Loved it . But 35 question ... The k value is 3 .. you wrote that 12 it's lamda value right ?

mamidinaveen
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Anyone please tell password for this class pdf

CareerGuideplacementsolution
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from where can i get pdf of this class

Ganeshkumar-teku