querent

Spam yourself with math PhD qualifying-exam questions.

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Stanford Spring 2010, 5 Real analysis, uniform convexity, convexity, closest point projection

A Banach space 𝑋 is uniformly convex if for every πœ€βˆˆ(0,1) there exists πœ‚<1 such that if π‘₯,π‘¦βˆˆπ‘‹, β€–π‘₯β€–=‖𝑦‖=1 and β€–π‘₯βˆ’π‘¦β€–>2πœ€ then β€–12(π‘₯+𝑦)β€–<πœ‚.

(a) Show that every Hilbert space is uniformly convex.

(b) Let 𝑋 be a uniformly convex Banach space. Suppose that 𝐢 is a closed convex subset of 𝑋, and π‘§βˆˆπ‘‹. Show that there exists a unique π‘₯∈𝐢 such that β€–π‘₯βˆ’π‘§β€–=inf{β€–π‘¦βˆ’π‘§β€–:π‘¦βˆˆπΆ}.

(c) Give an example showing that the property in (b) can fail if 𝑋 is not uniformly convex.

Stanford Spring 2011, 1 Real analysis, compact operators, spectral theory, sequence spaces

Consider β„“2 with norm β€–{π‘Žπ‘›}𝑛=1βˆžβ€–2=βˆ‘π‘›=1∞|π‘Žπ‘›|2. Let 𝑇 be the operator on β„“2 given by 𝑇({π‘Ž1,π‘Ž2,…})={π‘Ž2,12π‘Ž3,13π‘Ž4,…}, i.e. 𝑇({π‘Žπ‘›}𝑛=1∞)={π‘›βˆ’1π‘Žπ‘›+1}𝑛=1∞. Show that 𝑇 is compact, and find the spectrum of 𝑇. Does 𝑇 have any eigenvalues?

Stanford Spring 2011, 1 Real analysis, self-adjoint operators, Hilbert space geometry, closest point projection

A projection π‘ƒβˆˆβ„’οΈ€(𝑋) on a Hilbert space 𝑋 is an operator with 𝑃2=𝑃. Show that such a projection 𝑃 is an orthogonal projection (i.e. π‘₯βˆ’π‘ƒ(π‘₯)∈(𝑃(𝑋))βŸ‚ for all π‘₯βˆˆπ‘‹) if and only if 𝑃 is self-adjoint.

Stanford Spring 2011, 2 Real analysis, Baire category, GΞ΄ sets

(a) Show that the set of points 𝐴 at which a function 𝑓:[0,1]→ℝ is continuous is a 𝐺𝛿 set (countable intersection of open sets).

(b) Give an example of a function 𝑓:[0,1]→ℝ that is continuous at all the irrationals and is discontinuous at all the rationals.

(c) Show that there is no function 𝑓:[0,1]→ℝ which is continuous at all the rationals and is discontinuous at all the irrationals.

Stanford Spring 2011, 2 Real analysis, weak topology, dual spaces, locally convex spaces

Let 𝑋 be a vector space over β„‚, β„±οΈ€ a vector space of linear maps 𝑋→ℂ, and equip 𝑋 with the weakest topology in which all members of β„±οΈ€ are continuous. Show that the only continuous linear maps 𝑋→ℂ are those in β„±οΈ€.

Stanford Spring 2011, 3 Real analysis, distributions, weak-star topology, distributional derivatives

Let βŠ€π‘›=(ℝ/(2πœ‹β„€))𝑛 be the 𝑛-torus, 𝑒𝑗 the image of the 𝑗th unit vector in ℝ𝑛 in the torus, and let π’ŸοΈ€β€²(βŠ€π‘›) denote the set of distributions on the torus, equipped with the weak-* topology.

(a) Show that for all π‘¦βˆˆβŠ€π‘› the map 𝐿𝑦:𝐢(βŠ€π‘›)→𝐢(βŠ€π‘›) defined by (𝐿𝑦𝑓)(π‘₯)=𝑓(π‘₯+𝑦) has a unique continuous extension to a map π’ŸοΈ€β€²(βŠ€π‘›)β†’π’ŸοΈ€β€²(βŠ€π‘›).

(b) If π‘’βˆˆπ’ŸοΈ€β€²(βŠ€π‘›) (i.e. 𝑒 is a distribution on the torus) then for all 𝑗, π‘’β„Ž=β„Žβˆ’1(πΏβ„Žπ‘’π‘—π‘’βˆ’π‘’) converges to the distributional derivative as β„Žβ†’0.

(c) For πœ‘βˆˆπΆβˆž(βŠ€π‘›+π‘š) let πœ‘π‘₯(𝑦)=πœ‘(𝑦,π‘₯), (𝑦,π‘₯)βˆˆβŠ€π‘›Γ—βŠ€π‘š, so πœ‘π‘₯∈𝐢∞(βŠ€π‘›). Show that if π‘’βˆˆπ’ŸοΈ€β€²(βŠ€π‘›) and πœ‘βˆˆπΆβˆž(βŠ€π‘›+π‘š) then the function 𝑓:βŠ€π‘šβ†’β„‚ defined by 𝑓(π‘₯)=𝑒(πœ‘π‘₯) is 𝐢∞.

Stanford Spring 2011, 3 Real analysis, uniform boundedness, weak convergence, bounded operators

Suppose 𝑋,π‘Œ are (reflexive) Banach spaces, π΄π‘›βˆˆβ„’οΈ€(𝑋,π‘Œ) for π‘›βˆˆβ„•. Suppose that for all π‘₯βˆˆπ‘‹ and for all β„“βˆˆπ‘Œβˆ—, limπ‘›β†’βˆžβ„“(𝐴𝑛π‘₯) exists. Show that there exists π΄βˆˆβ„’οΈ€(𝑋,π‘Œ) such that 𝐴𝑛→𝐴 in the weak operator topology. Give an example of 𝐴𝑛 satisfying these assumptions such that 𝐴𝑛 does not converge to 𝐴 in the strong operator topology.

Stanford Spring 2011, 4 Real analysis, Lebesgue measure, Steinhaus theorem

For πΈβŠ†β„ let 𝐸+𝐸={π‘₯+𝑦:π‘₯,π‘¦βˆˆπΈ}, and define πΈβˆ’πΈ similarly. Show that if 𝐸 is a measurable subset of ℝ of positive Lebesgue measure then πΈβˆ’πΈ and 𝐸+𝐸 contain non-empty open sets.

Stanford Spring 2011, 4 Real analysis, Banach spaces, norm equivalence, Lp spaces

Let 𝐢𝛼([0,1]), 0<𝛼<1, denote the space of HΓΆlder continuous functions on [0,1], i.e. continuous functions such that ‖𝑓‖𝛼=sup|𝑓|+supπ‘₯≠𝑦|𝑓(π‘₯)βˆ’π‘“(𝑦)||π‘₯βˆ’π‘¦|𝛼<∞, equipped with the norm ‖⋅‖𝛼.

(a) Suppose 0<𝛼<1, 𝑋 is a subspace of 𝐢𝛼([0,1]), and 𝑋 is closed as a subspace of 𝐢([0,1]). Show that 𝑋 is finite dimensional.

(b) Suppose that 𝑋 is a subspace of 𝐢([0,1]) and 𝑋 is closed as a subspace of 𝐿2([0,1]) (with the standard norm). Show that 𝑋 is finite dimensional.

Stanford Spring 2011, 5 Real analysis, Sobolev spaces, elliptic operators, Fourier series

Let ⊀=ℝ/(2πœ‹β„€), and for π‘“βˆˆπΏ2(βŠ€π‘›) let 𝑓̂(π‘˜)=(2πœ‹)βˆ’π‘›/2βˆ«βŠ€π‘›π‘’βˆ’π‘–π‘₯β‹…π‘˜π‘“(π‘₯)dπ‘₯, π‘˜βˆˆβ„€π‘›, denote the Fourier coefficients of 𝑓. For π‘šβ‰₯0, π»π‘š(βŠ€π‘›) is the subset of 𝐿2(βŠ€π‘›) consisting of π‘“βˆˆπΏ2(βŠ€π‘›) with Fourier coefficients satisfying βˆ‘π‘˜βˆˆβ„€π‘›(1+|π‘˜|2)π‘š|𝑓̂(π‘˜)|2<∞, and with norm β€–π‘“β€–π»π‘š(βŠ€π‘›)2=βˆ‘π‘˜βˆˆβ„€π‘›(1+|π‘˜|2)π‘š|𝑓̂(π‘˜)|2.

Suppose that 𝑠>π‘Ÿβ‰₯0, π‘šβ‰₯0, and 𝑃:𝐻𝑠(βŠ€π‘›)β†’π»π‘š(βŠ€π‘›) is a continuous linear map satisfying

‖𝑒‖𝐻𝑠(βŠ€π‘›)≀𝐢(β€–π‘ƒπ‘’β€–π»π‘š(βŠ€π‘›)+β€–π‘’β€–π»π‘Ÿ(βŠ€π‘›)),π‘’βˆˆπ»π‘ (βŠ€π‘›).

Show that the nullspace of 𝑃 is a finite dimensional subspace of 𝐻𝑠(βŠ€π‘›), and its range is closed in π»π‘š(βŠ€π‘›).

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