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A homogeneous polynomial of the second d...

A homogeneous polynomial of the second degree in `n` variables i.e., the expression
`phi=sum_(i=1)^(n)sum_(j=1)^(n)a_(ij)x_(i)x_(j)` where `a_(ij)=a_(ji)` is called a quadratic form in `n` variables `x_(1),x_(2)`….`x_(n)` if `A=[a_(ij)]_(nxn)` is
a symmetric matrix and `x=[{:(x_(1)),(x_(2)),(x_(n)):}]` then
`X^(T)AX=[X_(1)X_(2)X_(3) . . . .X_(n)][{:(a_(11),a_(12) ....a_(1n)),(a_(21),a_(22)....a_(2n)),(a_(n1),a_(n2)....a_(n n)):}][{:(x_(1)),(x_(2)),(x_(n)):}]`
`=sum_(i=1)^(n)sum_(j=1)^(n)a_(ij)x_(i)x_(j)=phi`
Matrix A is called matrix of quadratic form `phi`.
Q. If number of distinct terms in a quadratic form is 10 then number of variables in quadratic form is

A

4

B

3

C

5

D

can not found uniquely

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To solve the problem of finding the number of variables \( n \) in a quadratic form given that the number of distinct terms is 10, we can follow these steps: ### Step 1: Understanding the Quadratic Form A quadratic form in \( n \) variables can be expressed as: \[ \phi = \sum_{i=1}^{n} \sum_{j=1}^{n} a_{ij} x_i x_j \] where \( a_{ij} = a_{ji} \) (the matrix is symmetric). ### Step 2: Counting Distinct Terms In the expression for the quadratic form, there are two types of terms: 1. **Diagonal Terms**: These are the terms where \( i = j \), which correspond to \( x_i^2 \). There are \( n \) such terms. 2. **Off-Diagonal Terms**: These are the terms where \( i \neq j \), which correspond to \( x_i x_j \). The number of distinct pairs \( (i, j) \) where \( i \neq j \) can be counted using combinations, specifically \( \binom{n}{2} \). ### Step 3: Setting Up the Equation The total number of distinct terms in the quadratic form is given by: \[ \text{Total Distinct Terms} = n + \binom{n}{2} \] We know from the problem that this total is equal to 10: \[ n + \binom{n}{2} = 10 \] ### Step 4: Expanding the Combination The combination \( \binom{n}{2} \) can be expressed as: \[ \binom{n}{2} = \frac{n(n-1)}{2} \] Substituting this into our equation gives: \[ n + \frac{n(n-1)}{2} = 10 \] ### Step 5: Clearing the Fraction To eliminate the fraction, multiply the entire equation by 2: \[ 2n + n(n-1) = 20 \] ### Step 6: Rearranging the Equation This simplifies to: \[ n^2 + n - 20 = 0 \] ### Step 7: Factoring the Quadratic We can factor this quadratic equation: \[ (n + 5)(n - 4) = 0 \] Thus, the solutions for \( n \) are: \[ n + 5 = 0 \quad \Rightarrow \quad n = -5 \quad (\text{not valid since } n \text{ must be positive}) \] \[ n - 4 = 0 \quad \Rightarrow \quad n = 4 \] ### Step 8: Conclusion The number of variables \( n \) in the quadratic form is: \[ \boxed{4} \]

To solve the problem of finding the number of variables \( n \) in a quadratic form given that the number of distinct terms is 10, we can follow these steps: ### Step 1: Understanding the Quadratic Form A quadratic form in \( n \) variables can be expressed as: \[ \phi = \sum_{i=1}^{n} \sum_{j=1}^{n} a_{ij} x_i x_j \] where \( a_{ij} = a_{ji} \) (the matrix is symmetric). ...
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A homogeneous polynomial of the second degree in n variables i.e., the expression phi=sum_(i=1)^(n)sum_(j=1)^(n)a_(ij)x_(i)x_(j) where a_(ij)=a_(ji) is called a quadratic form in n variables x_(1),x_(2) …. x_(n) if A=[a_(ij)]_(nxn) is a symmetric matrix and x=[{:(x_(1)),(x_(2)),(x_(n)):}] then X^(T)AX=[X_(1)X_(2)X_(3) . . . . .X_(n)][{:(a_(11),a_(12) ....a_(1n)),(a_(21),a_(22)....a_(2n)),(a_(n1),a_(n2)....a_(n n)):}][{:(x_(1)),(x_(2)),(x_(n)):}] =sum_(i=1)^(n)sum_(j=1)^(n)a_(ij)x_(i)x_(j)=phi Matrix A is called matrix of quadratic form phi . Q. The quadratic form of matrix A[{:(0,2,1),(2,3,-5),(1,-5,8):}] is

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