
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Transcribed Image Text:Problem 2 - Numpy
Find the determinant of the given matrix, A:
2
3
-6 4
80
3
7
-1 2 5
0
1
4 7
-21
6
9
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- display the coefficient matrix A and the augmented matrix B for the given system. x1 − x2 = −1 x1 + x2 = 3arrow_forward(Cayley-IHamilton Theorem) The Cayley-Ilamilton theorem is a powerful theorem in Linear algebra that states: every square matrix of real numbers satisfies its own char- acteristic equation. For 2 x 2 matrices this can be seen in the following way. First, we introduce the trace of the matrix tr A 41,1 +22 and the determinant det A = a11a22 - 41,22,1- Then, the chacteristic polynomial is the quadratic given by p(A) = x – (tr A)A + (det. A). Then, for any 2 x 2 matrix, if you plug it into this polynomial, you should always get a zero matrix. c_h_test Function: Input parameters: • a single 2 x2 matrix for which you would like to test the Cayley Ilamilton Theorem Local Variables: • two scalars to represent the trace and determinant Output parameters: a single 2 x2 which is the result of evaluating the charcteristic polynomial at A (note: think carefully about the constant term) A possible sample case is: > mat_B = c_h_test([3, 2 ; 2, 0]) mat B = 0 0arrow_forward) Assume A is k × n-matrix and Q is n x n-invertible matrix. Prove that rank(AQ) = rank(A).arrow_forward
- Consider the following product of three matrices. Find the matrix A. [Note that /2 is an identity matrix of order 2] 1 -2 ·A 3 2 -2 3 2 1arrow_forwardConsider the matrices (1 2; 3 4 ) and (5 6; 7 8) Find the regular matrix product (You can use Scilab or Octave to do matrix manipulations Find the Tensor Multiplication of these matricesarrow_forward
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