x^2 + y^2 - 2y + 1 + z^2 - (x^2 - 2x + 1 + y^2 + z^2) = 0

x^2 + y^2 - 2y + 1 + z^2 - (x^2 - 2x + 1 + y^2 + z^2) = 0

Title: Simplifying and Interpreting the 3D Equation: A Comprehensive Guide to x² + y² − 2y + 1 + z² − (x² − 2x + 1 + y² + z²) = 0


Meta Description:Explore the simplification and geometric meaning of the 3D equation x² + y² − 2y + 1 + z² − (x² − 2x + 1 + y² + z²) = 0. Discover how this equation describes a point in space and how to rewrite it in standard form.


Introduction

Mathematical equations often encode rich geometric information, especially in three dimensions. Today, we analyze and simplify a key equation:

[x^2 + y^2 - 2y + 1 + z^2 - (x^2 - 2x + 1 + y^2 + z^2) = 0]

Under the hood, this equation represents a point in space—specifically, it reduces to a single coordinate condition, revealing a specific location in 3D geometry. Let’s break this down step by step.


Step 1: Expand and Simplify the Expression

Start by expanding both sides of the equation. Note that the expression includes a parenthetical term:[-(x^2 - 2x + 1 + y^2 + z^2)]

Distribute the negative sign:

[x^2 + y^2 - 2y + 1 + z^2 - x^2 + 2x - 1 - y^2 - z^2 = 0]

Now combine like terms:

  • (x^2 - x^2 = 0)- (y^2 - y^2 = 0)- (z^2 - z^2 = 0)- (-2y) remains- (+1 - 1 = 0)- (+2x) remains

After cancellation, the entire left-hand side reduces to:

[-2y + 2x = 0]

So:

[2x - 2y = 0 \quad \Rightarrow \quad x = y]


Step 2: Interpretation in 3D Space

At first glance, this appears degenerate—a 2D plane (x = y) extended along (z). However, note that the variables (z) and higher-degree terms canceled out completely, leaving only the condition (x = y), independent of (z) and (y).

This means the "equation" describes an infinite vertical line* in 3D space, but restrict further: since no specific bound is placed on (x) and (y), and (z) appears symmetrically and cancels, what does this represent?

Actually, re-examining carefully: the original expression contains no (z)^3 or nonlinear terms—but crucially, there is no constraint on (z). However, in the simplification, all (z)-dependent terms canceled identically, and no dependency remains except influencing a line condition in (x) and (y).

But let’s be precise: after full simplification:

[2x - 2y = 0 \quad \Rightarrow \quad x = y \quad \ ext{for all } z]

This is a plane extending vertically (along (z)) where every point lies on the line (x = y) in 3D space.

But wait—is it a line or a plane? Because (z) is arbitrary, the set of solutions is the entire line (x = y), parallel to the (z)-axis, everywhere in space.

However, upon deeper inspection, let’s verify that no interference from (z) exists and that reduction is valid.

Looking back:

Original:[x^2 + y^2 - 2y + 1 + z^2 - (x^2 - 2x + 1 + y^2 + z^2)]

Group terms:

  • (x^2 - x^2 = 0)- (y^2 - y^2 = 0)- (z^2 - z^2 = 0)- (-2y + 2x)- (1 - 1 = 0)

So all variable terms vanish except (2x - 2y)

Thus, the equation reduces identically to:

[2x - 2y = 0 \quad \Rightarrow \quad x = y]

This defines a plane? No—an entire vertical line in 3D space only if (z) were constrained—but here (z) is free.Actually, since (z) cancels out and no condition restricts it, (z \in \mathbb{R}), so the solution is the set of all points ((x, y, z)) such that (x = y)—this is a plane in 3D space: a vertical plane slicing through the origin along (x = y).

Wait—clarify: such a surface is actually a plane, not a line. Why? Because fixing (x = y) over all (z) forms an infinite plane with normal vector perpendicular to ((1, -1, 0)). For example, any point ((t, t, s)) satisfies (x = y), so the solution set is the plane:

[\boxed{x = y}]

This is a 2D plane in 3D space, not a line—because (x) and (y) are dynamically linked, while (z) remains free.

But wait: in Cartesian geometry, the surface defined by (x = y) is a plane that cuts through the origin at a 45° angle in the (xy)-plane and extends infinitely in all directions, including all values of (z).


Step 3: Is This Just a Plane? Clarifying the Geometry

While it looks like a line initially due to reduction to (x = y), the fact that (z) is unrestricted changes everything:

  • If the equation imposed a bound on (z), it might limit to a line.- But here, no restriction on (z) remains after simplification.

Therefore, the solution set is uncountably infinite, forming a plane in 3D space defined by (x = y), with (z) arbitrary.

This is equivalent to the affine plane in (\mathbb{R}^3):

[{(x, y, z) \mid x = y}]

Geometrically, this plane:

  • Passes through the origin.- Is orthogonal to the vector ((1, -1, 0)).- Intersects the (xy)-plane along the line (x = y), and extends infinitely in the (z)-direction.

Step 4: Alternative Approach — Rewrite in Standard Form

Start over:

Given:[x^2 + y^2 - 2y + 1 + z^2 = x^2 - 2x + 1 + y^2 + z^2]

Subtract right-hand side from left:

[(x^2 + y^2 - 2y + 1 + z^2) - (x^2 - 2x + 1 + y^2 + z^2) = 0]

Simplify:

[y^2 - y^2 + z^2 - z^2 + x^2 - x^2 + 2x - 2y + 1 - 1 = 0]

[2x - 2y = 0]

[x = y]

Confirmed: the equation reduces exactly to (x = y), a plane.


Step 5: Graphical and Algebraic Interpretation

  • Graphically: All points ((x, y, z)) where the (x)- and (y)-coordinates are equal form a vertical plane slicing through space like a Milwaukee sheet inclining at 45° in the (xy)-plane.- Algebraically: The original expression was balanced only by setting (x = y), with no constraints on (z), proving that (z) is not fixed.

Why Is This Useful?

Understanding such simplified forms helps in:

  • 3D visualization in geometry and physics.- Solving systems involving multiple equations.- Optimization over spatial domains, where constraints may reduce dimensionality.

Conclusion

The equation:

[x^2 + y^2 - 2y + 1 + z^2 - (x^2 - 2x + 1 + y^2 + z^2) = 0]

simplifies to:

[x = y]

which defines a vertical plane in three-dimensional space, independent of (z). This means all points ((x, y, z)) where (x = y) satisfy the equation—this is a linear subspace (a plane)—not just a line or point.

So while the form looks like a constraint yielding a degenerate case, careful simplification confirms it’s a genuine plane: one of the most fundamental 3D geometric objects.


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