[Solved] What is the issue with this code?import numpy as np from scipy.linalg import solve A = np.array([[1, 3], [2, 6]]) b = np.array([4, 8]) x = solve(A, b) print(x) | SciPy

SciPy - Linear Algebra (scipy.linalg)

What is the issue with this code?

import numpy as np
from scipy.linalg import solve
A = np.array([[1, 3], [2, 6]])
b = np.array([4, 8])
x = solve(A, b)
print(x)

AThe import statement is incorrect

BVector b has incorrect dimensions

CMatrix A is singular, so the system has no unique solution

DThe solve function requires integer arrays

Step-by-Step Solution

Solution:

Step 1: Check matrix A
Matrix A rows are linearly dependent:
Second row = 2 * first row
Step 2: Implication of singular matrix
Singular matrix means determinant is zero and no unique solution exists.
Step 3: Check vector b
Vector b is consistent with A's rows (4 and 8), but system is still singular.
Final Answer:
Matrix A is singular, so the system has no unique solution -> Option C
Quick Check:
Calculate determinant of A; if zero, singular [OK]

Quick Trick: Check if matrix is singular before solving [OK]

Common Mistakes:

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What is the issue with this code?