Calculate limits for functions of two or three variables. Supports different approach paths to determine if a limit exists.
In multivariable calculus, limits become more complex because a point in ℝ² or ℝ³ can be approached along infinitely many paths. For a limit to exist at a point, the function must approach the same value regardless of the path taken.
Mathematical Definition (for two variables):
lim_{(x,y)→(a,b)} f(x,y) = L
if for every ε > 0, there exists δ > 0 such that if 0 < √((x-a)²+(y-b)²) < δ, then |f(x,y) - L| < ε.
Path Test: If two different paths to (a,b) yield different limits, then the overall limit does not exist. Common test paths include axes (x=0, y=0), lines (y=mx), parabolas (y=x²), and polar coordinates.
Squeeze Theorem: If |f(x,y) - L| ≤ g(x,y) and lim_{(x,y)→(a,b)} g(x,y) = 0, then lim_{(x,y)→(a,b)} f(x,y) = L.
Continuity: If f is continuous at (a,b), then the limit exists and equals f(a,b). Polynomials, exponentials, trigonometric functions (where defined), and their sums/products/compositions are continuous on their domains.
| Function | Limit as (x,y)→(0,0) | Exists? | Reason |
|---|---|---|---|
| f(x,y) = (x*y)/(x²+y²) | 0 along axes, varies along lines | No | Different limits along y=0 and y=x |
| f(x,y) = (x²*y)/(x⁴+y²) | 0 along lines, 1/2 along y=x² | No | Different limits along y=mx and y=x² |
| f(x,y) = sin(x*y)/(x*y) | 1 | Yes | Same limit along all paths (continuous) |
| f(x,y) = (x³+y³)/(x²+y²) | 0 | Yes | Squeeze theorem with |x³+y³| ≤ (|x|+|y|)(x²+y²) |
| f(x,y) = (x²-y²)/(x²+y²) | 1 along x-axis, -1 along y-axis | No | Different limits along axes |
Substituting x = r·cosθ, y = r·sinθ can help analyze limits as (x,y)→(0,0). The limit exists if f(r·cosθ, r·sinθ) → L as r→0, uniformly for all θ.
Example: f(x,y) = (x*y)/(x²+y²)
In polar coordinates: f(r·cosθ, r·sinθ) = (r²·cosθ·sinθ)/(r²) = cosθ·sinθ
As r→0, this depends on θ, so the limit does not exist.
Calculator Features:
(x*y)/(x^2+y^2)
Classic test case
sin(x*y)/(x*y)
Limit exists = 1
(x^2*y)/(x^4+y^2)
Path-dependent
sqrt(x^2+y^2)
Distance function
exp(-x^2-y^2)
Gaussian function