Analyzing the Setup
Welcome, fellow traveler of the mathematical landscape. Today, we confront a matrix equation that seems to hide its true nature behind a veil of transposes and identity matrices.
We are given a 3×3 real matrix P satisfying the equation PT=aP+(a−1)I, with the condition a>1. At first glance, this looks like a tangled mess, but in the world of linear algebra, every equation is a story waiting to be told.
The Mirror Image
When you see a matrix equation involving its transpose, think of it as a mirror. The equation PT=aP+(a−1)I gives us one perspective. By taking the transpose of the entire equation, we obtain:
Using the fundamental properties of transposes—specifically that (PT)T=P and that the transpose distributes over addition—this simplifies beautifully to:
Now, we have two equations: the original and this new, mirrored version. This is the key to our breakthrough.
The Algebraic Tango
We want to isolate P. We have an expression for PT from our first equation, so let us substitute it into our second equation:
Expanding this carefully, we multiply the scalar a through the brackets:
Grouping the terms with the identity matrix I, we see a common factor of (a−1):
The Reveal
We bring all the P terms to one side to solve for the matrix:
Here is where the condition a>1 saves us. Because a>1, we know that a2>1, which means 1−a2 is non-zero. We can safely divide by (1−a2):
How elegant! The entire complex equation collapses into the simple identity matrix, scaled by −1.
Final Calculation
Now that we know P=−I, finding the determinant is straightforward. For a 3×3 matrix, the determinant of −I is (−1)3∣I∣=−1.
Finally, we need the determinant of the adjoint of P. Recall the property:
With n=3, this becomes ∣P∣2. Substituting our value of ∣P∣=−1, we get:
The complexity vanishes, leaving behind a clean, solid result. The final answer is 1.