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The assignment contains problems on Linear Algebra and Calculus. Here's a summary of the tasks:

### Part I: Linear Algebra
1. **Solve a system of equations** using the Gauss elimination method.
2. **Find the system of linear equations** whose solution set represents a subspace spanned by the vectors \( a_1 = (0,1,1,-1), a_2 = (1,0,1,1), a_3 = (1,1,0,2) \).
3. **Subspace problems**: Find \( L_1 + L_2 \) and \( L_1 \cap L_2 \), where:
   - \( L_1 \) is spanned by \( a_1 = (1,2,1), a_2 = (1,-1,1), a_3 = (3,3,1) \)
   - \( L_2 \) is spanned by \( b_1 = (-1,3,2), b_2 = (2,2,1), b_3 = (-3,1,1) \)

### Part II: Calculus
1. **Simplify a partial differential equation** by introducing new variables \( \xi = x + y, \eta = x - y \).
2. **Prove the existence of a unique function** \( y(x) \) satisfying an equation \( x = y + \phi(y) \) around \( x = 0 \), with initial condition \( y(0) = 0 \).
3. **Find the directional derivative** of a function \( f(x, y, z) = x / \sqrt{x^2 + y^2 + z^2} \) at point \( (1,2,-2) \) in the direction of a unit vector tangent to a parametric curve.

Would you like detailed solutions for any of these problems? Here are some related questions that might help your understanding:

1. What are the steps for solving systems using the Gauss elimination method?
2. How can you find the system of equations representing a linear subspace?
3. What are the general methods for finding the sum and intersection of subspaces?
4. How does introducing new variables simplify partial differential equations?
5. What techniques are used to prove the existence and uniqueness of a solution to differential equations?

**Tip**: In Gauss elimination, it's important to perform row operations carefully to maintain the consistency of the system while converting it to row-echelon form.

The assignment contains problems on Linear Algebra and Calculus, including solving systems of equations, subspaces, partial differential equations, and directional derivatives.

This assignment covers Linear Algebra and Calculus, including solving systems of equations using Gauss elimination, finding subspace solutions, simplifying partial differential equations, and computing directional derivatives in 3D space. Suitable for undergraduate students in economics or related fields.

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