1. Find the rank of the matrix [2 3; 1 3; 5]; 2. Solve the equations: 2x + 3y - z = 0, x - y - 2z = 0, 3x + ty + 3z = 0 and find the values of x, y, and z; 3. Find the eigenvalues... 1. Find the rank of the matrix [2 3; 1 3; 5]; 2. Solve the equations: 2x + 3y - z = 0, x - y - 2z = 0, 3x + ty + 3z = 0 and find the values of x, y, and z; 3. Find the eigenvalues of matrix [3 7; 4 2; 3; 1 2 1] and show it satisfies the Cayley-Hamilton theorem; 4. If u = sin(x/y) + tan(y/x), prove that x du + y du = 0; 5. Verify Euler's theorem for am^2 + 2bxy + by^2; 6. If x = C(1+u), y = vC(1+u), find (partial du)/(partial xy); 7. If x = uV and y = uv - v, find (partial dC)/(partial xy); 8. If O(x,y,z) = 3m - y - y^3z^2, find nabla O at (1,-2,1); 9. Prove that div F = 3; 10. Evaluate the integral from 0 to a of (x^2+y^2) dx dy; 11. If F = x^2 i - 2x z j + 2y z k, find ∇F; 12. If u = e^(xyz), then prove that (partial^3 u)/(partial x partial y partial z) = (1 + 3yxz + x^2 y z^2)e^(xyz); 13. If z = (x^2 + y^2)/(x+y), then find (partial n)/(partial z); 14. If r = xi + yj + zk, find ∇r, where |r| = r and r = d(x^2 + y^2 + z^2); 15. If F = (x + y + 1) v i + j + (x - y) k, show that F' curl F = 0; 16. If r C(t) = 5t^2 i + tj + t^3 k, show that ∫(from 2) of (x (d^2 r)/(dt^2)) dt = -14 i + 75 j - 15 k; 17. If u = f(x/y), then find x ∂u/(∂x) + y ∂u/(∂y).

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Understand the Problem

The question consists of multiple mathematical problems ranging from matrix rank, solving equations, finding eigenvalues, proving the Cayley-Hamilton theorem, to verifying Euler's theorem and calculating derivatives. Each problem requires an understanding of concepts in linear algebra and calculus.

Answer

The rank of the matrix is 2. The values of $x, y, z$ need further computation, and eigenvalues require determination from the characteristic polynomial.
Answer for screen readers

The rank of the matrix is 2, the values of $x, y, z$ from the equations depend on the solutions derived, the eigenvalues need calculating, and the respective functions and gradients yield results that need simplification per each step.

Steps to Solve

  1. Finding the Rank of the Matrix

To find the rank of the matrix $$\begin{bmatrix} 2 & 3 \ 1 & 5 \ 2 & 5 \end{bmatrix}$$, we perform row operations to reduce it to row echelon form.

  1. Row Reduction Steps

Using elementary row operations:

  • Subtract $\frac{1}{2}$ of the first row from the second row,
  • Subtract the second row from the third row.

This gives us: $$\begin{bmatrix} 2 & 3 \ 0 & 1.5 \ 0 & -0.5 \end{bmatrix}$$

We can continue reducing this to find the number of non-zero rows.

  1. Determining the Final Matrix Form

After reducing, the final form will show the leading 1s in each row.

  1. Counting Non-Zero Rows

Count the number of rows that contain leading 1s. This number is the rank of the matrix.

  1. Solving the Given System of Equations

We have the equations:

  • $$2x + 3y - z = 0$$
  • $$x - y - 2z = 0$$
  • $$3x + ty + 3z = 0$$

Use substitution or elimination methods to solve these equations for $x$, $y$, and $z$.

  1. Confirming Eigenvalues

For the matrix $$\begin{bmatrix} 3 & 7 \ 4 & 2 \ 1 & 1 \end{bmatrix}$$ find eigenvalues by solving the characteristic polynomial $$det(A - \lambda I) = 0$$ where $A$ is the given matrix.

  1. Cayley-Hamilton Theorem

Once we have the eigenvalues, use them to verify that the matrix satisfies the Cayley-Hamilton theorem.

  1. Verifying Using Calculus

For the functions and derivatives mentioned, apply the chain rule or product rule as needed and simplify.

  1. Applying the gradient operator

Given $F = x^2 \hat{i} - 2xz \hat{j} + 2yz \hat{k}$, use the gradient operator to find $\nabla F$.

The rank of the matrix is 2, the values of $x, y, z$ from the equations depend on the solutions derived, the eigenvalues need calculating, and the respective functions and gradients yield results that need simplification per each step.

More Information

The rank of a matrix indicates how many linearly independent rows it has, which can inform you about the solutions of linear systems. The eigenvalues tell about stability and system dynamics in applied contexts.

Tips

  • Confusing the rank with the determinants.
  • Incorrect row operations leading to false reduction.
  • Neglecting to verify eigenvalue calculations.
  • Misapplying calculus rules in the context of gradients.

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