बिन्दु (1,2) पर फलन का तृतीय टेलर बहुपद ज्ञात कीजिए।
बताइए निम्नलिखित कथन सत्य हैं या असत्य। अपने उत्तरों के कारण बताइए।
(i)
(ii) तीन चरों वाला एक वास्तविक मान फलन, जो सर्वत्र संतत है, अवकलनीय होता है।
(iii) से परिभाषित फलन
किसी भी बिन्दु
पर स्थानिकतः व्युत्क्रमणीय होता है।
(iv)
से परिभाषित फलन f: समाकलनीय होता है।
(v) से परिभाषित फलन
का (0,0) पर एक चरम मान होता है।
Which of the following statements are true and which are false? Justify your answer with a short proof or a counterexample
i) If ?1 and ?2 are proper subspaces of a non-zero, finite dimensional, vector space ? and
ii) If ? is a vector space and is such that ?? ≠ ?? if ? ≠ ?, then S
is a linearly independent set
iii) ? are linear operators on a finite dimensional vector space ? and ?1 ∘ ?2 is invertible, ?2 ∘ ?1 is also invertibl
iv) If an ? × ? square matrix, ? ≥ 2 is diagonalisable then it has the same minimal polynomial and characteristic polynomial
v) If ?1 , ?2 ∶ ? → ? are self adjoint operators on a finite dimensional inner product space ?, then ?1 + ?2 is also a self adjoint operator.
See Answer →Find the orthogonal canonical reduction of the quadratic form Also, find its principal axes.
represent the coordinates with respect to the bases
find the representation of ? in terms of (?1 , ?2 , ?3).
See Answer →Consider the linear operator ? ∶ ℂ3 → ℂ3 , defined by
i) Compute ? ∗ and check whether ? is self-adjoint
ii) Check whether ? is unitary.
See Answer →Let ? be the vector space of all real valued functions that are twice differentiable in ℝ and
Check that ? is a linearly independent set over ℝ. (Hint: Consider the equation
Find the minimal polynomial of the matrix
Solve the folowing set of simultaneous equations using Cramer’s rule:
3? + ? + ? = 0
See Answer →Find the eigenvalues and eigenvectors of the matrix Is the matrix diagonalisable? Justify your answer.
Let ? ∶ ℝ3 → ℝ3 be a linear operator and suppose the matrix of the operator with respect to the ordered basis
. Find the matrix of the linear transformation with respect to the basis
Check that is a basis for ?2 , the vector space of polynomials with real coefficients of degree ≤ 2.
Let ? be any non-empty set and let ? (?) be the set of all real valued functions on ℝ. Define addition on and scalar multiplication by
Check that
is a vector space.
Find the signature of the quadratic form
Find adjoint of the linear operator ? ∶ ℂ2 → ℂ2 defined by respect to the standard inner product on ℂ 2 .
Let ?[0, 1] be the inner product space of continous real valued functions on the interval [0, 1] with the inner produc
Find the inner product of the functions
Check whethe is an eigenvector for the matrix
What is the corresponding eigenvalue?
Verify Cayley-Hamilton theorem for the matrix
Let ? be a 2 × 3 matrix, ? be a 3 × 4 matrix and ? be a 3 × 2 matrix and ? be a 3 × 4 matrix. Is ?? + ??? defined? Justify your answer.
See Answer →