Worked examples — Metric tensor — raising - lowering indices
The scenario matrix
Every metric you will ever lower/raise with falls into one of these case classes. The whole point of raising/lowering only changes with the shape of , so we organise by shape.
| Cell | Case class | What is special about | Covered by |
|---|---|---|---|
| A | Identity / Cartesian orthonormal | Ex 1 | |
| B | Diagonal, all , unequal | pure rescaling, no sign flip | Ex 2 |
| C | Diagonal with a (indefinite) | one component flips sign | Ex 3 |
| D | Coordinate-dependent diagonal (polar) | entries depend on position | Ex 4 |
| E | Off-diagonal (couples slots) | cross terms | Ex 5 |
| F | Degenerate / zero row (breakdown) | , no inverse exists | Ex 6 |
| G | Rank-2 tensor, one slot at a time | mixed index | Ex 7 |
| H | Real-world word problem | reading off a physical setup | Ex 8 |
| I | Exam twist: raise back / consistency | round-trip | Ex 9 |
We will hit every cell. Each example says which cell it fills.

Ex 1 — Cell A: the case where nothing happens
- Write the rule. . Why this step? It is the definition; we always start by naming which machine we run.
- Do : Why this step? Sum over the repeated index ; only is non-zero in this row.
- Do : Why this step? Same, second row.
- Result: .
Verify: the norm both ways: , and . Consistent, and equals ordinary . ✓ This is exactly the Mistake the parent warns about: upper and lower look identical only here.
Ex 2 — Cell B: pure rescaling (diagonal, all positive, unequal)
- Lower. ; Why this step? Diagonal metric ⇒ each lower component is just its own upper component scaled by the diagonal entry.
- Build the inverse. For a diagonal matrix, . Why this step? Raising needs , and for diagonal the inverse is entry-by-entry reciprocals.
- Raise back. ; Why this step? Round-trip must return the original — a built-in sanity check.
Verify: raising undid lowering: . ✓ Also . ✓ No sign flip because all diagonal entries are positive (that only happens in Cell C).
Ex 3 — Cell C: the sign flip (indefinite metric)
- Lower each slot. ; ; Why this step? The Minkowski spacetime metric is diagonal, so each slot uses one entry — but the time entry is , so the time component flips sign. That flip is the entire physical content of an indefinite metric.
- Contract. Why this step? The invariant length must be a valid contraction: one up, one down. This number is coordinate-independent.
Verify: using the metric directly, . ✓ In particle physics this equals (with ), so , . Sign is negative because the vector is timelike — exactly the right regime.
Ex 4 — Cell D: coordinate-dependent metric (polar)

- Inverse metric. . At : . Why this step? Raising needs ; here it depends on where you are — that is new versus Cells A–C.
- Raise radial. Why this step? , so the radial direction behaves like plain Cartesian.
- Raise angular. Why the ? Look at the red arrow in the figure: the basis vector has physical length , not . A covariant component already carries a factor of that length, so raising must divide it back out — hence .
Verify: the norm should be metric-independent of representation. . Cross-check with . ✓
Ex 5 — Cell E: off-diagonal metric (coupled slots)
- Lower, keeping BOTH terms. Why this step? Off-diagonal couples the components — dropping the cross term is the classic error. Each lower component mixes all upper components.
- Invert the metric. For , inverse . Here , so . Why this step? Raising needs the true matrix inverse, not reciprocals of entries (that shortcut only works when off-diagonals vanish).
- Raise back. ; Why this step? Round-trip must recover .
Verify: . ✓ And : row-1 = . ✓ Norm: ; and . ✓
Ex 6 — Cell F: degenerate metric (the breakdown case)
- Lowering still works. ; Why this step? Lowering only multiplies by ; no inverse needed, so it is always defined.
- Try to raise. Compute . Why this step? Raising requires , and a matrix with zero determinant has no inverse. The raising operation is undefined.
- Interpret. Row 2 is row 1: the second basis "direction" carries no independent length information. A genuine metric on an inner product space must be non-degenerate () precisely so both directions of the translation exist.
Verify: , so no inverse ⇒ raising impossible. This is the boundary/degenerate cell the reader must recognise: check before assuming you can raise. ✓ (Notice is itself proportional , echoing the degeneracy.)
Ex 7 — Cell G: a rank-2 tensor, one slot at a time
- Rule for one slot. — the metric pairs with the second index only. Why this step? Raise/lower one index at a time; each converts exactly one slot (parent §4).
- Column (uses ): ; Why this step? Lowering the -slot multiplies that whole column by .
- Column (uses ): ; Why this step? leaves the -column unchanged.
- Result:
Verify: the trace — this contracted scalar is invariant. Direct check: . ✓
Ex 8 — Cell H: real-world word problem
- Read off the metric. Perpendicular axes with scales and : . Why this step? ; each basis vector's squared physical length sits on the diagonal.
- True squared length. Why this step? The invariant length uses the metric, not the naive — that would give the wrong .
- Length. metres.
- Covariant components. ;
Verify: cross-check length via covariant form: . ✓ Naive (wrong) answer would be — the metric matters, exactly the Mistake point.
Ex 9 — Cell I: exam twist, the consistency round-trip
- State the key identity. (the inverse-metric defining relation). Why this step? This is the ONE fact that makes raising undo lowering — the metric and its inverse are true matrix inverses.
- Apply it. Why this step? Associativity of matrix multiplication lets us collapse the pair to , and the Kronecker delta simply relabels.
- Numeric spot-check with : from Ex 5 we already saw . ✓
Verify: For this specific , . ✓
Recall Answers
- Cell A (, Cartesian orthonormal) — the metric is the identity, so the machine changes nothing.
- , .
- Off-diagonal couples slots: mixes both.
- (non-degenerate) — otherwise no inverse exists (Cell F).
Connections
- Metric tensor — raising - lowering indices (parent)
- Tensors — definition and transformation laws
- Dual space and covectors
- Line element and ds^2
- Minkowski spacetime
- Inner product spaces
- Einstein summation convention
- Christoffel symbols