Linear Algebra
Unit-1
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- Definition of:
- Vector Space
- Subspace
- Linear Span
- Linear Combination
- Linear Integral
- Linear Dependence
- Null Space
- Column Space
- Linear Transformation
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- Theorems on necessary and sufficient condition of subspace and problems.
- Algebra of subspace
- If S is subset of vector space V(F) then P.T.
- S is Subspace of V =>L(S)=S
- L(L(s))=L(s)
- If S, T are subset of Vector space V(F) then
- SCT =>L(S)CL(T)
- L(SUT) = L(S)+L(T)
- Basis Extension theorem and problems.
- Problems on Linear Transformation.
- Let u,v be two Vector Spaces and T:u-V is L>T then range set R(T) and Null space N(T) is a Subspace of U(F)
- Rank Nullity theorem and dimensions theorems.
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- All theorems in Rank
- Problems in Change of basis, Eigen value and Eigen vector and Characteristic equation.
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Unit-3
- Theorems and problems in Diagonalization.
- An nXn matrix with n-distinct eigen values is diagonalizable.
- Problems in Complex Eigen value and application of Differential equation problems.
- Definition of:
- Orthogonal vector
- Orthonormal vector
- Inner product space
- Length of a vector
- Unit vector
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- Problems in Inner product space and Orthogonality.
- All Inequality theorems.
- Practical problems.
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S = {u,, u,, ..., u,} is an orthogonal set of non-zero vectors in R" then S is linear independent and hence, is a basis for the subspace spanned by S.
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